Qi Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
877
Venues
65
Active years
2024–2026
Best venue rank
A*
Where they publish
- A*ACL66 papers
- A*EMNLP30 papers
- A*AAAI24 papers
- A*WWW17 papers
- A*ICLR13 papers
- A*CVPR10 papers
- BCOLING9 papers
- A*IJCAI9 papers
- A*KDD7 papers
- MulticonferenceICASSP7 papers
- A*ECCV7 papers
- A*INFOCOM5 papers
- BDCC5 papers
- A*ICCV5 papers
- A*ICML5 papers
- A*ICDE4 papers
- NationalISKE4 papers
- BGLOBECOM4 papers
- AIROS4 papers
- ANAACL4 papers
- A*ICDM3 papers
- AMICCAI3 papers
- ACIKM3 papers
- A*CHI2 papers
- BICPR2 papers
- CISCAS2 papers
- AMobisys2 papers
- BWCNC2 papers
- CCGI2 papers
- BICPADS2 papers
- BIJCNN2 papers
- A*ICRA2 papers
- AECAI2 papers
- ADSN1 paper
- AEACL1 paper
- AHPDC1 paper
- MulticonferenceICCS1 paper
- BIWQoS1 paper
- CKSEM1 paper
- NationalNSDI1 paper
- BPAKDD1 paper
- A*SIGIR1 paper
- BSIGdial1 paper
- BWiOpt1 paper
- BAIME1 paper
- CAPWEB1 paper
- BCANS1 paper
- BCHASE1 paper
- CCloudCom1 paper
- CHPCC1 paper
- NationalICIG1 paper
- CINDIN1 paper
- BICTAI1 paper
- AICWSM1 paper
- AIUI1 paper
- BIWCMC1 paper
- CMMSP1 paper
- A*SIGCOMM1 paper
- A*SP1 paper
- CAPCC1 paper
- BEuroPar1 paper
- NationalHCI1 paper
- BICNP1 paper
- CIGARSS1 paper
- CIPIN1 paper
Papers
Showing the 300 most recent indexed papers.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model. | Rong Bao, Bo Wang, Xiao Wang, Hongyu Li, Rui Zheng, Leszek Rutkowski, Qi Zhang, Liang Ding, Dacheng Tao |
| 2026 | AAAI | One-Shot Refiner: Boosting Feed-forward Novel View Synthesis via One-Step Diffusion. | Yitong Dong, Qi Zhang, Minchao Jiang, Zhiqiang Wu, Qingnan Fan, Ying Feng, Huaqi Zhang, Hujun Bao, Guofeng Zhang |
| 2026 | AAAI | UV-RGS: Relightable 3D Gaussian Splatting from Unposed Views Under Varied Illuminations. | Wei Feng, Chi Huang, Qi Zhang, Qian Zhang, Nan Li |
| 2026 | AAAI | ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation. | Li Lin, Xinrui Zhang, Qi Zhang, Shuai Wang, Kaiwen Xia |
| 2026 | AAAI | Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination. | Mingqi Wu, Zhihao Zhang, Qiaole Dong, Zhiheng Xi, Jun Zhao, Senjie Jin, Xiaoran Fan, Yuhao Zhou, Huijie Lv, Ming Zhang, Yanwei Fu, Qin Liu, Songyang Zhang, Qi Zhang |
| 2026 | AAAI | MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning. | Zhiheng Xi, Yuhui Wang, Yiwen Ding, Guanyu Li, Senjie Jin, Shichun Liu, Jixuan Huang, Dingwen Yang, Jiafu Tang, Boyang Hong, Junjie Ye, Shihan Dou, Ming Zhang, Jian Guan, Wei Wu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | AAAI | Interpreting Fedspeak with Confidence: A LLM-Based Uncertainty-Aware Framework Guided by Monetary Policy Transmission Paths. | Rui Yao, Qi Chai, Jinhai Yao, Siyuan Li, Junhao Chen, Qi Zhang, Hao Wang |
| 2026 | AAAI | DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation. | Nengjun Zhu, Lingdan Sun, Qi Zhang, Jian Cao, Hang Yu |
| 2026 | ACL | From Scores to Preferences: Redefining Evaluation Paradigm for Speech Quality Reward Modeling. | Yifei Cao, Changhao Jiang, Jiabao Zhuang, Jiajun Sun, Ming Zhang, Zhiheng Xi, Hui Li, Shihan Dou, Yuran Wang, Yunke Zhang, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | DUET: Joint Exploration of User-Item Profiles in Recommendation System. | Yue Chen, Yifei Sun, Lu Wang, Fangkai Yang, Pu Zhao, Minjie Hong, Yifei Dong, Minghua He, Nan Hu, Jianjin Zhang, Zhiwei Dai, Yuefeng Zhan, Weihao Han, Hao Sun, Qingwei Lin, Weiwei Deng, Feng Sun, Qi Zhang, Saravan Rajmohan, Dongmei Zhang |
| 2026 | ACL | OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding. | Deming Ding, Shichun Liu, Enhui Yang, Jiahang Lin, Ziying Chen, Shihan Dou, Honglin Guo, Weiyu Cheng, Pengyu Zhao, Chengjun Xiao, Qunhong Zeng, Qi Zhang, Xuanjing Huang, Qidi Xu, Tao Gui |
| 2026 | ACL | Towards Interpretable Tabular Reasoning: Enhancing LLM Reasoning on Tabular Data with Pre-Constructed Logic Graph. | Lirong Gao, Zewei Yu, Zhongrui Yin, Qi Zhang, Yuke Zhu, Bo Zheng, Haobo Wang, Junbo Zhao, Gang Chen, Sheng Guo |
| 2026 | ACL | RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning. | Xiang Gao, Yuguang Yao, Qi Zhang, Kaiwen Dong, Avinash Baidya, Ruocheng Guo, Hilaf Hasson, Kamalika Das |
| 2026 | ACL | Counteracting the Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing. | Xin Guo, Zhiheng Xi, Yiwen Ding, Yitao Zhai, Xiaowei Shi, Xunliang Cai, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | FinToolSyn: A forward synthesis Framework for Financial Tool-Use Dialogue Data with Dynamic Tool Retrieval. | Caishuang Huang, Yang Qiao, Rongyu Zhang, Junjie Ye, Pu Lu, Wenxi Wu, Meng Zhou, Xiku Du, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2026 | ACL | RLSeek: Evidence-Grounded Reasoning for RAG Hallucination Detection. | Zhaoheng Huang, Dacheng Wen, Yutao Zhu, Xiaoying Lian, Yushi Liang, Kai Hao, Nan Li, Liangjie Zhang, Qi Zhang, Ji-Rong Wen, Zhicheng Dou, Fangzhao Wu |
| 2026 | ACL | Fine-Grained Data Ordering Improves Fine-Tuning for Large Language Models. | Xiaomeng Hu, Yixuan Tang, Haoze Li, Hao Chen, Qi Zhang, Zhanming Shen, Yiming Zhang, Haobo Wang, Junbo Zhao |
| 2026 | ACL | Muse: Towards Reproducible Long-Form Song Generation with Fine-Grained Style Control. | Changhao Jiang, Jiahao Chen, Zhenghao Xiang, Zhixiong Yang, Hanchen Wang, Jiabao Zhuang, Xinmeng Che, Jiajun Sun, Hui Li, Yifei Cao, Shihan Dou, Ming Zhang, Junjie Ye, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training. | Changhao Jiang, Ming Zhang, Yifei Cao, Junjie Ye, Xiaoran Fan, Shihan Dou, Zhiheng Xi, Jiajun Sun, Yi Dong, Yujiong Shen, Jingqi Tong, Baoyu Fan, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | Making Revisions Understandable: A Survey of Edit Intentions, Methods, and Applications. | Fangping Lan, Qi Zhang, Eduard C. Dragut |
| 2026 | ACL | MM-Doc-R1: Training Agents for Long Document Visual Question Answering through Multi-turn Reinforcement Learning. | Jiahang Lin, Kai Hu, Binghai Wang, Yuhao Zhou, Zhiheng Xi, Honglin Guo, Shichun Liu, Junzhe Wang, Shihan Dou, Enyu Zhou, Hang Yan, Zhenhua Han, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | DARM: Distribution-Aware Reward Modeling by Alleviating Biases from Low Preference-Context Dependency Data. | Shaofan Liu, Guoqiang Zhang, Shihan Dou, Huiyuan Zheng, Yiming Zhou, Junjie Ye, Shaowen Wang, Shichun Liu, Jiazheng Zhang, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction. | Xu Shen, Qi Zhang, Song Wang, Zhen Tan, Xinyu Zhao, Laura Yao, Vaishnav Tadiparthi, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Kwonjoon Lee, Tianlong Chen |
| 2026 | ACL | Mnemis: Dual-Route Retrieval on Hierarchical Graphs for Long-Term LLM Memory. | Zihao Tang, Xin Yu, Ziyu Xiao, Zengxuan Wen, Zelin Li, Jiaxi Zhou, Hualei Wang, Haohua Wang, Haizhen Huang, Weiwei Deng, Feng Sun, Qi Zhang |
| 2026 | ACL | Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models. | Binghai Wang, Yantao Liu, Yuxuan Liu, Tianyi Tang, Shenzhi Wang, Chang Gao, Chujie Zheng, Yichang Zhang, Le Yu, Shixuan Liu, Tao Gui, Qi Zhang, Xuanjing Huang, Bowen Yu, Fei Huang, Junyang Lin |
| 2026 | ACL | Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization. | Junzhe Wang, Zhiheng Xi, Yajie Yang, Hao Luo, Shihan Dou, Tao Gui, Qi Zhang |
| 2026 | ACL | AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments. | Zhiheng Xi, Dingwen Yang, Jiaqi Liu, Jixuan Huang, Honglin Guo, Baodai Huang, Tinggang Chen, Qi Zhang, Zhonghang Lu, Chenyu Liu, Jiajun Sun, Jiazheng Zhang, Dingwei Zhu, Xin Guo, Junzhe Wang, Zhihao Zhang, Yuming Yang, Junjie Ye, Minghe Gao, Dongrui Liu, Jiaming Ji, Guohao Li, Tao Gui, Xuanjing Huang |
| 2026 | ACL | Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment. | Yuming Yang, Mingyoung Lai, Wanxu Zhao, Xiaoran Fan, Zhiheng Xi, Mingqi Wu, Chiyue Huang, Jun Zhao, Haijun Lv, Jian Tong, Yunhua Zhou, Yicheng Zou, Qipeng Guo, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | FinMRAGBench: A Realistic and Complex Benchmark for Multi-Modal RAG in Financial Document Analysis. | Shouqing Yang, Qi Zhang, Yuhang Yang, Ruikang Xu, Yuwei Hou, Zhulin Jia, Lirong Gao, Haobo Wang, Jinglei Chen, Jiexiang Wang, Sheng Guo, Bo Zheng, Gang Chen |
| 2026 | ACL | MulDimIF: A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models. | Junjie Ye, Caishuang Huang, Zhuohan Chen, Wenjie Fu, Chenyuan Yang, Leyi Yang, Yilong Wu, Peng Wang, Meng Zhou, Xiaolong Yang, Tao Gui, Qi Zhang, Zhongchao Shi, Jianping Fan, Xuanjing Huang |
| 2026 | ACL | Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments. | Junjie Ye, Changhao Jiang, Zhengyin Du, Yufei Xu, Xuesong Yao, Zhiheng Xi, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang, Jiecao Chen |
| 2026 | ACL | AgentV-RL: Scaling Reward Modeling with Agentic Verifier. | Jiazheng Zhang, Ziche Fu, Zhiheng Xi, Wenqing Jing, Mingxu Chai, Wei He, Guoqiang Zhang, Chenghao Fan, Chenxin An, Wenxiang Chen, Zhicheng Liu, Haojie Pan, Dingwei Zhu, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | Scaling Performance and Low-Resource Annotation with Many-Shot In-Context Learning for Named Entity Recognition. | Qi Zhang, Fangping Lan, Cornelia Caragea, Longin Jan Latecki, Eduard C. Dragut |
| 2026 | ACL | LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models. | Ming Zhang, Yujiong Shen, Jingyi Deng, Yuhui Wang, Huayu Sha, Kexin Tan, Qiyuan Peng, Yue Zhang, Junzhe Wang, Shichun Liu, Yueyuan Huang, Jingqi Tong, Changhao Jiang, Yilong Wu, Zhihao Zhang, Mingqi Wu, Mingxu Chai, Zhiheng Xi, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | REAP: Towards Effective Training-Free Chemical Reasoning with Explicit Atomic Priors. | Mingxu Zhang, Dazhong Shen, Qi Zhang, Ying Sun |
| 2026 | ACL | Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models. | Hengyuan Zhang, Zhihao Zhang, Ercong Nie, Mingyang Wang, Zunhai Su, Yiwei Wang, Qianli Wang, Shuzhou Yuan, Xufeng Duan, Qibo Xue, Zeping Yu, Chenming Shang, Xiao Liang, Jing Xiong, Hui Shen, Chaofan Tao, Zhengwu Liu, Senjie Jin, Zhiheng Xi, Dongdong Zhang, Sophia Ananiadou, Tao Gui, Ruobing Xie, Hayden Kwok-Hay So, Hinrich Schtze, Xuanjing Huang, Qi Zhang, Ngai Wong |
| 2026 | ACL | VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training. | Dingwei Zhu, Shihan Dou, Zhiheng Xi, Senjie Jin, Guoqiang Zhang, Jiazheng Zhang, Junjie Ye, Mingxu Chai, Enyu Zhou, Ming Zhang, Yuhui Wang, Caishuang Huang, Chenhao Huang, Yunke Zhang, Yuran Wang, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang |
| 2026 | CHI | From Vulnerable to Resilient: Examining Parent and Teen Perceptions on How to Respond to Unwanted Cybergrooming Advances. | Xinyi Zhang, Mamtaj Akter, Heajun An, Minqian Liu, Qi Zhang, Lifu Huang, Jin-Hee Cho, Pamela J. Wisniewski, Sang Won Lee |
| 2026 | CHI | LiqMetCraft: A Toolkit for Creating Papercraft with Embedded Electronics By Directly Cutting and Folding Liquid-Metal-Dyed Paper-like Fabric. | Qi Zhang, Shuwen Jiang, Zeshui Li, Yong Lyu, Tiande Mo, Kening Zhu |
| 2026 | DSN | Understanding and Exploiting DNS Relaying: Harnessing Legitimate Services for DNS Attacks. | Ruian Duan, Shu Wang, Daiping Liu, Hongya Xing, Lexuan Sun, Yuwen Dai, Zhemin Su, Mengying Jiang, Fan Fei, Qi Zhang |
| 2026 | EACL | Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information Extraction. | Chong Zhang, Yixi Zhao, Yulu Xie, Chenshu Yuan, Yi Tu, Ya Guo, Mingxu Chai, Ziyu Shen, Yue Zhang, Qi Zhang |
| 2026 | HPDC | SYCL++: A Unified Programming Framework for Heterogeneous Supercomputers at Scale. | Zitao Shen, Yuyang Jin, Kinman Lei, Zixuan Ma, Wenqiang Wang, Yinuo Wang, Wenhao Zhou, Zhenchuan Chen, Di Wei, Qi Zhang, Fei Wang, Ying Liu, Lin Gan, Jidong Zhai |
| 2026 | ICCS | On a Class of Higher-Order Fully Decoupled Schemes for the Biot Model. | Qi Zhang, Shuyu Sun |
| 2026 | ICDE | Querying Historical $k$-Dense Subgraphs on Temporal Graphs. | Qi Zhang, Yalong Zhang, Rong-Hua Li, Xu-Cheng Yin, Guoren Wang |
| 2026 | ICPR | DK-MSP: Integrating Domain Knowledge Into Multi-stage Prompting Engineering for Aspect-Level Multimodal Sentiment Analysis. | Haiwei Feng, Qi Zhang, Shuo Yang, Yutong Li, Ziye Xie, Zhiqun Xiao |
| 2026 | INFOCOM | Discrete Mode Decomposition Meets Shapley Value: Robust Signal Prediction in Tactile Internet. | Mohammad Ali Vahedifar, Qi Zhang |
| 2026 | ISCAS | A 112Gb/s DAC-Based PAM-4 Transmitter with Fast Automatic Retiming Clock Phase Optimization and 6-Tap FFE in 28nm CMOS. | Chenxi Han, Huajin Sun, Xiaoteng Zhao, Qi Zhang, Yuan Liu, Yuhao Zhang, Hongzhi Liang, Shubin Liu, Zhangming Zhu |
| 2026 | ISCAS | Neural Video Compression with Domain Transfer. | Tiange Zhang, Rongqun Lin, Xiandong Meng, Haofeng Wang, Xing Tian, Qi Zhang, Siwei Ma |
| 2026 | ISKE | Research on Learning and Evaluation of Orthopedic Techniques Based on Time Cycle Consistency. | Jian Gao, Tianqiang Huang, Feng Ye, Aokun Zheng, Qi Zhang |
| 2026 | ISKE | WSF-Net: Wavelet-Spatial Fusion Network for Image Forensics Detection and Localization. | Chao Xu, Tianqiang Huang, Aokun Zheng, Qi Zhang |
| 2026 | ISKE | A Dependence-Aware Knowledge-Engineering Framework for Benchmarking and Uncertainty-Aware Forecasting of National AI Competitiveness. | Qi Zhang, Tianqiang Huang |
| 2026 | ISKE | Interpretable Audio Deepfake Detection via Iterative Semantic-Physical Consistency Reasoning. | Longbin Zheng, Tianqiang Huang, Feng Ye, Aokun Zheng, Qi Zhang |
| 2026 | IWQoS | StarRound: An Efficient Multiple Geographic Region-Avoidance Mechanism for High Dynamic LEO Satellite Networks. | Yuxuan Weng, Qian Wu, Zeqi Lai, Chenwei Gu, Hewu Li, Jihao Li, Qi Zhang, Weisen Liu, Jun Liu, Yuanjie Li |
| 2026 | KDD | CSSG: A Continuous Spatio-temporal Graph Learning Framework with Scalable Spatial Granularity. | Kaiwen Xia, Li Lin, Qi Zhang, Xinrui Zhang, Shuai Wang, Xuming Hu, Philip S. Yu |
| 2026 | KSEM | DP-QMIX: Enhanced QMIX with Adaptive Death Prediction Model for Multi-agent Reinforcement Learning. | Qi Zhang, Li Li |
| 2026 | Mobisys | Demo: LEAN-3D: Low-latency Hierarchical Point Cloud Codec for Mobile 3D Streaming. | Yuchen Gao, Qi Zhang |
| 2026 | Mobisys | Profiling-Driven Adaptive Distributed Transformer Inference on Embedded Edge Deployment. | Muhammad Azlan Qazi, Alexandros Iosifidis, Qi Zhang |
| 2026 | NSDI | Skyline: A Cloud Centric Internet Monitoring Engine. | Shixian Guo, Ziqian Liu, Yangyang Bai, Yuan Chen, Kefei Liu, Qi Zhang, Songlin Liu, Yang Lv, Jianwei Hu, Gen Li, Zhenyang Zhong, Sisi Wen, Yongbin Dong, Feng Luo, Anjian Chen, Rui Han, Jiale Feng, Lingpei Meng, Siwan Chen, Hang Li, Shuai Xu, Juntao Zhong, Chaoran Hu, Yibo Huang, Yiming Qiu |
| 2026 | PAKDD | X-MAP: eXplainable Misclassification Analysis and Profiling for Spam and Phishing Detection. | Qi Zhang, Dian Chen, Lance M. Kaplan, Audun Jsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho |
| 2026 | WCNC | SAP-User Association and Power Allocation in Cell-Free Massive MIMO-Enabled LEO Satellite Networks with Coverage Limitation. | Rongjia Li, Qi Zhang, Tianwen Li, Jun Zhang, Shu Cai, Yi Wu |
| 2026 | WCNC | Cooperative MARL and Heterogeneous Onboard Computing for LEO Satellite Routing. | Jiajia Qin, Feng Tian, Qi Zhang, Youlong Wu, Wenxin Yao, Lele Lai, Yue Gao, Haiying Hu |
| 2026 | WWW | Bridging Cognitive Neuroscience and Graph Intelligence: Hippocampus-Inspired Multi-View Hypergraph Learning for Web Finance Fraud. | Rongkun Cui, Nana Zhang, Kun Zhu, Qi Zhang |
| 2026 | WWW | Towards Fair Large Language Model-based Recommender Systems without Costly Retraining. | Jin Li, Huilin Gu, Shoujin Wang, Qi Zhang, Shui Yu, Chen Wang, Xiwei Xu, Fang Chen |
| 2026 | WWW | Counterfactual Augmented Causal Reasoning for Aspect-Based Sentiment Analysis. | Yiming Wu, Liang Hu, Mingzhu Zhou, Tangwei Ye, Xuejie Yang, Xun Yang, Zhongyuan Lai, Qi Zhang, Usman Naseem |
| 2026 | WWW | AMID: Model-Agnostic Dataset Distillation by Adversarial Mutual Information Minimization. | Aoqi Wu, Junming Liu, Yuwei Zhang, Weiquan Huang, Liang Hu, Yifan Yang, Qi Zhang, Jiaxing Miao, Yuhan Tang, Zhongyuan Lai |
| 2026 | WWW | AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress. | Zhiheng Xi, Chenyang Liao, Guanyu Li, Zhihao Zhang, Wenxiang Chen, Binghai Wang, Senjie Jin, Yuhao Zhou, Jian Guan, Wei Wu, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | WWW | Accurate Trajectory Recovery in Underserved Areas via Location Inference from Web Crowdsourced Data. | Tangwei Ye, Liang Hu, Zhongyuan Lai, Qi Zhang, Yiming Wu, Jiaxing Miao, Yijun Yang, Kun Yi |
| 2026 | WWW | QDDR: Quality-Driven Intent Disentanglement with Dual-Path Modeling for Recommendation. | Nengjun Zhu, Yixun Lu, Qi Zhang |
| 2026 | WWW | Dynamic Min-Max Multi-Dimensional Reinforcement Backdoor Attacks and Orchestrated Closed-Loop Defense in Fairness-Aware Web Federated Finance. | Ruixiao Zhu, Kun Zhu, Nana Zhang, Qi Zhang, Changjun Jiang |
| 2026 | SIGIR | HybridSparse: An End-to-End Hybrid Framework for Efficient Large-Scale Retrieval. | Haotong Bao, Jianjin Zhang, Weihao Han, Xue Wu, Qi Chen, Dongzhe Jiang, Zhengxin Zeng, Mingzheng Li, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang |
| 2026 | SIGdial | StagePilot: Stage-Level Planning for Long-Horizon Dialogue Simulation in Cybergrooming. | Heajun An, Qi Zhang, Minqian Liu, Xinyi Zhang, Sang Won Lee, Lifu Huang, Pamela J. Wisniewski, Jin-Hee Cho |
| 2026 | WiOpt | Predictive Hybrid Resource Scheduling for Haptic Traffic with Diffusion-Based Offline Reinforcement Learning. | Yu Yeh, Georgios Kokkinis, Qi Zhang, Salah-Eddine Elayoubi, Vineeth S. Varma |
| 2025 | AAAI | MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning. | Yaming Yang, Dilxat Muhtar, Yelong Shen, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Weizhu Chen, Yunhai Tong |
| 2025 | AAAI | Position-Aware Guided Point Cloud Completion with CLIP Model. | Feng Zhou, Qi Zhang, Ju Dai, Lei Li, Qing Fan, Junliang Xing |
| 2025 | AAAI | View Transformation Robustness for Multi-View 3D Object Reconstruction with Reconstruction Error-Guided View Selection. | Qi Zhang, Zhouhang Luo, Tao Yu, Hui Huang |
| 2025 | AAAI | Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding. | Guangyin Bao, Qi Zhang, Zixuan Gong, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao |
| 2025 | AAAI | Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning. | Shihan Dou, Yan Liu, Enyu Zhou, Songyang Gao, Tianlong Li, Limao Xiong, Xin Zhao, Haoxiang Jia, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | AAAI | Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting. | Jingru Fei, Kun Yi, Wei Fan, Qi Zhang, Zhendong Niu |
| 2025 | AAAI | MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction. | Zixuan Gong, Qi Zhang, Guangyin Bao, Lei Zhu, Rongtao Xu, Ke Liu, Liang Hu, Duoqian Miao |
| 2025 | AAAI | COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism. | Jianing He, Qi Zhang, Hongyun Zhang, Xuanjing Huang, Usman Naseem, Duoqian Miao |
| 2025 | AAAI | Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation. | Yiwei Shi, Muning Wen, Qi Zhang, Weinan Zhang, Cunjia Liu, Weiru Liu |
| 2025 | ACL | EvoWiki: Evaluating LLMs on Evolving Knowledge. | Wei Tang, Yixin Cao, Yang Deng, Jiahao Ying, Bo Wang, Yizhe Yang, Yuyue Zhao, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang, Yong Liao |
| 2025 | ACL | ESF: Efficient Sensitive Fingerprinting for Black-Box Tamper Detection of Large Language Models. | Xiaofan Bai, Pingyi Hu, Xiaojing Ma, Linchen Yu, Dongmei Zhang, Qi Zhang, Bin Benjamin Zhu |
| 2025 | ACL | Context-DPO: Aligning Language Models for Context-Faithfulness. | Baolong Bi, Shaohan Huang, Yiwei Wang, Tianchi Yang, Zihan Zhang, Haizhen Huang, Lingrui Mei, Junfeng Fang, Zehao Li, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang, Shenghua Liu |
| 2025 | ACL | DocFusion: A Unified Framework for Document Parsing Tasks. | Mingxu Chai, Ziyu Shen, Chong Zhang, Yue Zhang, Xiao Wang, Shihan Dou, Jihua Kang, Jiazheng Zhang, Qi Zhang |
| 2025 | ACL | Better Process Supervision with Bi-directional Rewarding Signals. | Wenxiang Chen, Wei He, Zhiheng Xi, Honglin Guo, Boyang Hong, Jiazheng Zhang, Nijun Li, Tao Gui, Yun Li, Qi Zhang, Xuanjing Huang |
| 2025 | ACL | ALPS: Attention Localization and Pruning Strategy for Efficient Adaptation of Large Language Models. | Hao Chen, Haoze Li, Zhiqing Xiao, Lirong Gao, Qi Zhang, Xiaomeng Hu, Ningtao Wang, Xing Fu, Junbo Zhao |
| 2025 | ACL | Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling. | Shihan Dou, Jiayi Chen, Chenhao Huang, Feng Chen, Wei Chengzhi, Huiyuan Zheng, Shichun Liu, Yan Liu, Chenxiao Liu, Chao Xin, Lin Yan, Zongzhang Zhang, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | ACL | Multi-Programming Language Sandbox for LLMs. | Shihan Dou, Jiazheng Zhang, Jianxiang Zang, Yunbo Tao, Weikang Zhou, Haoxiang Jia, Shichun Liu, Yuming Yang, Shenxi Wu, Zhiheng Xi, Muling Wu, Rui Zheng, Changze Lv, Limao Xiong, Shaoqing Zhang, Lin Zhang, Wenyu Zhan, Rongxiang Weng, Jingang Wang, Xunliang Cai, Yueming Wu, Ming Wen, Yixin Cao, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang |
| 2025 | ACL | WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models. | Huawen Feng, Pu Zhao, Qingfeng Sun, Can Xu, Fangkai Yang, Lu Wang, Qianli Ma, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2025 | ACL | Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law. | Qiming Ge, Shuhao Xing, Songyang Gao, Yunhua Zhou, Yicheng Zou, Songyang Zhang, Zhi Chen, Hang Yan, Qi Zhang, Qipeng Guo, Kai Chen |
| 2025 | ACL | Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs. | Tao Ji, Bin Guo, Yuanbin Wu, Qipeng Guo, Shenlixing Shenlixing, Chenzhan Chenzhan, Xipeng Qiu, Qi Zhang, Tao Gui |
| 2025 | ACL | GeAR: Generation Augmented Retrieval. | Haoyu Liu, Shaohan Huang, Jianfeng Liu, Yuefeng Zhan, Hao Sun, Weiwei Deng, Feng Sun, Furu Wei, Qi Zhang |
| 2025 | ACL | AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents. | Junting Lu, Zhiyang Zhang, Fangkai Yang, Jue Zhang, Lu Wang, Chao Du, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2025 | ACL | Taxonomy-Driven Knowledge Graph Construction for Domain-Specific Scientific Applications. | Huitong Pan, Qi Zhang, Mustapha Adamu, Eduard C. Dragut, Longin Jan Latecki |
| 2025 | ACL | AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments. | Zhiheng Xi, Yiwen Ding, Wenxiang Chen, Boyang Hong, Honglin Guo, Junzhe Wang, Xin Guo, Dingwen Yang, Chenyang Liao, Wei He, Songyang Gao, Lu Chen, Rui Zheng, Yicheng Zou, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang |
| 2025 | ACL | Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric. | Yuming Yang, Yang Nan, Junjie Ye, Shihan Dou, Xiao Wang, Shuo Li, Huijie Lv, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | ACL | ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use. | Junjie Ye, Zhengyin Du, Xuesong Yao, Weijian Lin, Yufei Xu, Zehui Chen, Zaiyuan Wang, Sining Zhu, Zhiheng Xi, Siyu Yuan, Tao Gui, Qi Zhang, Xuanjing Huang, Jiecao Chen |
| 2025 | ACL | DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale. | Linghao Zhang, Junhao Wang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Jiaheng Wen, Chengxing Xie, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2025 | ACL | PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts. | Ming Zhang, Yuhui Wang, Yujiong Shen, Tingyi Yang, Changhao Jiang, Yilong Wu, Shihan Dou, Qinhao Chen, Zhiheng Xi, Zhihao Zhang, Yi Dong, Zhen Wang, Zhihui Fei, Mingyang Wan, Tao Liang, Guojun Ma, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2025 | ACL | D.Va: Validate Your Demonstration First Before You Use It. | Qi Zhang, Zhiqing Xiao, Ruixuan Xiao, Lirong Gao, Junbo Zhao |
| 2025 | AIME | MaCa: Mamba-Guided Causal Disentanglement for Breast Tumor Segmentation in Ultrasound Images. | Haobo Chen, Changyan Wang, Qi Zhang |
| 2025 | APWEB | TCM-R1: Enhancing the Traditional Chinese Medicine Capabilities of Large Language Models Through Group Relative Policy Optimization. | Weiwei He, Song Yu, Li Li, Shiyi Lin, Qi Zhang |
| 2025 | CANS | Faster FHEW Bootstrapping with Adaptive Key Update. | Qi Zhang, Mingqiang Wang, Xiaopeng Cheng |
| 2025 | CGI | DAN: Dual-Attention Network for Occlusion-Robust 3D Hand Pose Estimation. | Qi Zhang, Lunke Fei |
| 2025 | CGI | Generation of Realistic Synthetic ECG Data Using Uncertainty-Aware Diffusion Model. | Qi Zhang, Hongyan Li |
| 2025 | CHASE | Ethical AI for Healthcare Systems: Uncertainty-Aware, Fair Federated Learning. | Dian Chen, Qi Zhang, Lance M. Kaplan, Audun Jsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho |
| 2025 | CloudCom | Deep Reinforcement Learning-Based Resource Allocation Method for Heterogeneous Satellite Networks. | Mingyi Wang, Qi Zhang, Yang Zhou, Jianbo Zheng, Chengchao Liang |
| 2025 | COLING | Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition. | Yuming Yang, Wantong Zhao, Caishuang Huang, Junjie Ye, Xiao Wang, Huiyuan Zheng, Yang Nan, Yuran Wang, Xueying Xu, Kaixin Huang, Yunke Zhang, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | COLING | ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios. | Junjie Ye, Guanyu Li, Songyang Gao, Caishuang Huang, Yilong Wu, Sixian Li, Xiaoran Fan, Shihan Dou, Tao Ji, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2025 | CVPR | TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution. | Linwei Dong, Qingnan Fan, Yihong Guo, Zhonghao Wang, Qi Zhang, Jinwei Chen, Yawei Luo, Changqing Zou |
| 2025 | CVPR | Mani-GS: Gaussian Splatting Manipulation with Triangular Mesh. | Xiangjun Gao, Xiaoyu Li, Yiyu Zhuang, Qi Zhang, Wenbo Hu, Chaopeng Zhang, Yao Yao, Ying Shan, Long Quan |
| 2025 | CVPR | Generative Hard Example Augmentation for Semantic Point Cloud Segmentation. | Qi Zhang, Jibin Peng, Zhao Huang, Wei Feng, Di Lin |
| 2025 | CVPR | Mitigating Ambiguities in 3D Classification with Gaussian Splatting. | Ruiqi Zhang, Hao Zhu, Jingyi Zhao, Qi Zhang, Xun Cao, Zhan Ma |
| 2025 | DCC | Point Cloud-Assisted Neural Image Compression. | Ziqun Li, Qi Zhang, Xiaofeng Huang, Zhao Wang, Siwei Ma, Wei Yan |
| 2025 | DCC | PCGCD: Joint Point Cloud Geometry Compression and Denoising. | Lixuan Meng, Ronghuang Ou, Qi Zhang, Shan Liu, Ge Li |
| 2025 | DCC | LL-ICM: Image Compression for Low-Level Machine Vision via Large Vision-Language Model. | Yuan Xue, Qi Zhang, Chuanmin Jia, Shiqi Wang |
| 2025 | DCC | Rate-Distortion Optimized Motion Estimation for Dynamic Point Cloud Geometry Compression. | Qi Zhang, Yiting Shao, Lixuan Meng, Hailong Jiao, Shan Liu, Ge Li |
| 2025 | EMNLP | NL2Lean: Translating Natural Language into Lean 4 through Multi-Aspect Reinforcement Learning. | Yue Fang, Shaohan Huang, Xin Yu, Haizhen Huang, Zihan Zhang, Weiwei Deng, Furu Wei, Feng Sun, Qi Zhang, Zhi Jin |
| 2025 | EMNLP | Structural Patent Classification Using Label Hierarchy Optimization. | Mengting Gui, Shufeng Hao, Chongyang Shi, Qi Zhang |
| 2025 | EMNLP | Distill Visual Chart Reasoning Ability from LLMs to MLLMs. | Wei He, Zhiheng Xi, Wanxu Zhao, Xiaoran Fan, Yiwen Ding, Zifei Shan, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | Governance in Motion: Co-evolution of Constitutions and AI models for Scalable Safety. | Chenhao Huang, Ziyu Shen, Yicong Ren, Huiyuan Zheng, Jiazheng Zhang, Mingxu Chai, Ming Zhang, Shihan Dou, Fan Mo, Jie Shi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning. | Senjie Jin, Lu Chen, Zhiheng Xi, Yuhui Wang, Sirui Song, Yuhao Zhou, Xinbo Zhang, Peng Sun, Hong Lu, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations. | Shuo Li, Jiajun Sun, Guodong Zheng, Xiaoran Fan, Yujiong Shen, Yi Lu, Zhiheng Xi, Yuming Yang, Wenming Tan, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | LoRACoE: Improving Large Language Model via Composition-based LoRA Expert. | Guanyu Li, Zhiheng Xi, Zhihao Zhang, Boyang Hong, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation. | Tianjiao Li, Mengran Yu, Chenyu Shi, Yanjun Zhao, Xiaojing Liu, Qi Zhang, Xuanjing Huang, Qiang Zhang, Jiayin Wang |
| 2025 | EMNLP | TASO: Task-Aligned Sparse Optimization for Parameter-Efficient Model Adaptation. | Daiye Miao, Yufang Liu, Jie Wang, Changzhi Sun, Yunke Zhang, Demei Yan, Shaokang Dong, Qi Zhang, Yuanbin Wu |
| 2025 | EMNLP | MAIN: Mutual Alignment Is Necessary for instruction tuning. | Fanyi Yang, Jianfeng Liu, Xin Zhang, Haoyu Liu, Xixin Cao, Yuefeng Zhan, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang |
| 2025 | EMNLP | TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use. | Junjie Ye, Yilong Wu, Sixian Li, Yuming Yang, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang, Peng Wang, Zhongchao Shi, Jianping Fan, Zhengyin Du |
| 2025 | EMNLP | Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels. | Junjie Ye, Yuming Yang, Yang Nan, Shuo Li, Qi Zhang, Tao Gui, Xuanjing Huang, Peng Wang, Zhongchao Shi, Jianping Fan |
| 2025 | EMNLP | LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation. | Ming Zhang, Yujiong Shen, Zelin Li, Huayu Sha, Binze Hu, Yuhui Wang, Chenhao Huang, Shichun Liu, Jingqi Tong, Changhao Jiang, Mingxu Chai, Zhiheng Xi, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization. | Qi Zhang, Shouqing Yang, Lirong Gao, Hao Chen, Xiaomeng Hu, Jinglei Chen, Jiexiang Wang, Sheng Guo, Bo Zheng, Haobo Wang, Junbo Zhao |
| 2025 | EMNLP | Toward Optimal LLM Alignments Using Two-Player Games. | Rui Zheng, Hongyi Guo, Zhihan Liu, Xiaoying Zhang, Yuanshun Yao, Xiaojun Xu, Zhaoran Wang, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang, Yang Liu, Hang Li |
| 2025 | GLOBECOM | Vector-Representation-based Multi-Domain Collaborative Routing Calculation Model for Large-Scale LEO Satellite Networks. | Houlai Chen, Fu Wang, Qi Zhang, Peijin Hu, Haoran Zhang, Haipeng Yao |
| 2025 | GLOBECOM | Delay Bound Relaxation with Deep Learning-based Haptic Estimation for Tactile Internet. | Georgios Kokkinis, Alexandros Iosifidis, Qi Zhang |
| 2025 | GLOBECOM | Two-level Beam Tracking for UAV communications via Data-driven Probalistic Inference. | Chaoyang Zhang, Fan Meng, Zhilei Zhang, Xiaoyu Bai, Qi Zhang, Yongming Huang, Cheng Zhang, Jianjun Zhang |
| 2025 | HPCC | Research on Network Information Risk Prevention Based on Blockchain. | Weiwei Pang, Chunyu Jiang, Qi Zhang, Chen Kang, Bin Liu, Lifeng Zhang, Tingting Liu, Suwan Wang, Wenxi Song |
| 2025 | ICASSP | DFNeRF: Disentangled Facial Neural Radiance Fields for Text-based Editing of Free-view Talking Head. | Benwang Chen, Xiaoyu Li, Xuan Wang, Qi Zhang, Haoqian Wang |
| 2025 | ICASSP | Extract Information from Hybrid Long Documents Leveraging LLMs: A Framework and Dataset. | Chongjian Yue, Xinrun Xu, Xiaojun Ma, Lun Du, Zhiming Ding, Shi Han, Dongmei Zhang, Qi Zhang |
| 2025 | ICCV | Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-Language Pre-Training. | Weiwei Cao, Jianpeng Zhang, Zhongyi Shui, Sinuo Wang, Zeli Chen, Xi Li, Le Lu, Xianghua Ye, Tingbo Liang, Qi Zhang, Ling Zhang |
| 2025 | ICCV | Applying Semantic Anchor in Face Anti-Spoofing Detection for Unified Physical-Digital Attacks. | Xu Yang, Qi Zhang, Yaowen Xu, Hui Ma, Zhaofan Zou, Hao Sun |
| 2025 | ICCV | CoMPaSS: Enhancing Spatial Understanding in Text-to-Image Diffusion Models. | Gaoyang Zhang, Bingtao Fu, Qingnan Fan, Qi Zhang, Runxing Liu, Hong Gu, Huaqi Zhang, Xinguo Liu |
| 2025 | ICCV | SU-RGS: Relightable 3D Gaussian Splatting from Sparse Views Under Unconstrained Illuminations. | Qi Zhang, Chi Huang, Qian Zhang, Nan Li, Wei Feng |
| 2025 | ICCV | BokehDiff: Neural Lens Blur with One-Step Diffusion. | Chengxuan Zhu, Qingnan Fan, Qi Zhang, Jinwei Chen, Huaqi Zhang, Chao Xu, Boxin Shi |
| 2025 | ICDE | Efficient Maximum Fair Clique Search Over Large Networks. | Qi Zhang, Rong-Hua Li, Zifan Zheng, Hongchao Qin, Ye Yuan, Guoren Wang |
| 2025 | ICDE | AllHands :Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models. | Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2025 | ICDM | fair-LDP: Uncertainty-Guided Fairness and Privacy for Federated Healthcare Learning. | Dian Chen, Qi Zhang, Lance M. Kaplan, Audun Jsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho |
| 2025 | ICIG | Robust Single-View 3D Object Reconstruction with Stable Diffusion Generation and Farthest View Selection. | Zhouhang Luo, Qian Yu, Qi Zhang |
| 2025 | ICLR | RuAG: Learned-rule-augmented Generation for Large Language Models. | Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang |
| 2025 | ICLR | MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI. | Guangyin Bao, Qi Zhang, Zixuan Gong, Zhuojia Wu, Duoqian Miao |
| 2025 | ICLR | Self-Evolved Reward Learning for LLMS. | Chenghua Huang, Zhizhen Fan, Lu Wang, Fangkai Yang, Pu Zhao, Zeqi Lin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang |
| 2025 | ICLR | Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs. | Shuo Li, Tao Ji, Xiaoran Fan, Linsheng Lu, Leyi Yang, Yuming Yang, Zhiheng Xi, Rui Zheng, Yuran Wang, Xiaohui Zhao, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | ICLR | Projection Head is Secretly an Information Bottleneck. | Zhuo Ouyang, Kaiwen Hu, Qi Zhang, Yifei Wang, Yisen Wang |
| 2025 | ICLR | Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding. | Zhongyi Shui, Jianpeng Zhang, Weiwei Cao, Sinuo Wang, Ruizhe Guo, Le Lu, Lin Yang, Xianghua Ye, Tingbo Liang, Qi Zhang, Ling Zhang |
| 2025 | ICLR | OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures? | Junjielong Xu, Qinan Zhang, Zhiqing Zhong, Shilin He, Chaoyun Zhang, Qingwei Lin, Dan Pei, Pinjia He, Dongmei Zhang, Qi Zhang |
| 2025 | ICLR | Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness. | Qi Zhang, Yifei Wang, Jingyi Cui, Xiang Pan, Qi Lei, Stefanie Jegelka, Yisen Wang |
| 2025 | ICLR | MGDA Converges under Generalized Smoothness, Provably. | Qi Zhang, Peiyao Xiao, Shaofeng Zou, Kaiyi Ji |
| 2025 | ICLR | Revisiting Large-Scale Non-convex Distributionally Robust Optimization. | Qi Zhang, Yi Zhou, Simon Khan, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou |
| 2025 | ICLR | RMB: Comprehensively benchmarking reward models in LLM alignment. | Enyu Zhou, Guodong Zheng, Binghai Wang, Zhiheng Xi, Shihan Dou, Rong Bao, Wei Shen, Limao Xiong, Jessica Fan, Yurong Mou, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | ICPADS | Key-Factor-Aware Customer Value Prediction on Multi-View Hypergraphs. | An Li, Li Lin, Xinrui Zhang, Kaiwen Xia, Qi Zhang, Shuai Wang |
| 2025 | ICPADS | ITSPM: An Interpretable Time Series Prediction Model Based on Multi-Scale Feature Extraction. | Yuzhi Li, Qi Zhang, Li Lin, Shuai Wang |
| 2025 | IJCAI | RF-DTR: A Multi-Stage DCT Token Regression Network for Progressive Rib Fracture Mask Refinement. | Shouyu Chen, Liang Hu, Juntao Wang, Usman Naseem, Zhongyuan Lai, Qi Zhang |
| 2025 | IJCAI | 2D Gaussian Splatting for Outdoor Scene Decomposition and Relighting. | Wei Feng, Kangrui Ye, Qi Zhang, Qian Zhang, Nan Li |
| 2025 | IJCAI | Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection. | Jianing He, Qi Zhang, Duoqian Miao, Kun Yi, Shufeng Hao, Hongyun Zhang, Zhihua Wei |
| 2025 | IJCAI | Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy. | Zhihao Sui, Liang Hu, Jian Cao, Dora D. Liu, Usman Naseem, Zhongyuan Lai, Qi Zhang |
| 2025 | IJCAI | COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement. | Zhihao Sui, Liang Hu, Jian Cao, Usman Naseem, Zhongyuan Lai, Qi Zhang |
| 2025 | IJCAI | Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion. | Haolong Xiang, Xiaolong Xu, Guangdong Wang, Xuyun Zhang, Xiaoyong Li, Qi Zhang, Amin Beheshti, Wei Fan |
| 2025 | IJCAI | Sentiment-enhanced Multi-hop Connected Graph Attention Network for Multimodal Aspect-Based Sentiment Analysis. | Linlin Zhu, Heli Sun, Xiaoyong Huang, Qi Zhang, Ruichen Cao, Liang He |
| 2025 | IJCNN | Localization and Elimination: Object Detection Physical Patch Defense Based on Adversarial Patch Characterization. | Zesheng Zhou, Sizheng Fu, Chunjie Cao, Fangjian Tao, Qi Zhang, Jingzhang Sun |
| 2025 | INDIN | Performance Comparison between Centralized and Distributed Cooperative Positioning Using Hybrid GNSS and UWB-Ranging Signals. | Shijin Qiu, Chenlong Deng, Yufang Xie, Qi Zhang, Jie Ma, Weiming Tang |
| 2025 | INFOCOM | An Online Convex Optimization-based Joint Beam Hopping and Resource Allocation Scheme for LEO Satellite Networks. | Chengchao Liang, Qi Zhang, Jinhong Li, Hong Yang, Zhanjun Liu |
| 2025 | IROS | Accelerating Inverse Kinematic Solutions for a Cable-Driven Soft Robotic Manipulator via Physics-Informed Neural Network. | Rui Lin, Shuyou He, Ming Xu, Kangjia Fu, Xuesong Wu, Xiucong Sun, Qi Zhang, Sunquan Yu, Xiang Zhang |
| 2025 | IROS | A Fast-moving Underwater Wall-climbing Robotic Fish Inspired by Rock-climbing Fish. | Hengshen Qin, Chuang Zhang, Wenjun Tan, Ruiqian Wang, Yiwei Zhang, Lianchao Yang, Qi Zhang, Lianqing Liu |
| 2025 | IROS | Interdigitated Electrodes for Selective Stimulation of Skeletal Muscle Actuators in Biosyncretic Robots. | Lianchao Yang, Chuang Zhang, Qi Zhang, Yiwei Zhang, Hengshen Qin, Lianqing Liu |
| 2025 | ICRA | Trustworthy Robot Behavior Tree Generation Based on Multi-Source Heterogeneous Knowledge Graph. | Jianchao Yuan, Shuo Yang, Qi Zhang, Ge Li, Jianping Tang |
| 2025 | ICTAI | TASAM: Terrain-and-Aware Segment Anything Model for Temporal-Scale Remote Sensing Segmentation. | Tianyang Wang, Xi Xiao, Gaofei Chen, Hanzhang Chi, Qi Zhang, Guo Cheng, Yingrui Ji |
| 2025 | ICWSM | A Multimodal Prompt-based Framework for Analyzing Code-Mixed and Low-Resource Memes. | Surendrabikram Thapa, Hariram Veeramani, Liang Hu, Qi Zhang, Wei Wang, Usman Naseem |
| 2025 | IUI | Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks. | Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang |
| 2025 | IWCMC | Multimodal Reinforcement Learning Aided Dynamic Service Function Chain Deployment in Satellite-Terrestrial Network. | Yuanfeng Li, Qi Zhang, Haipeng Yao, Xiangjun Xin, Ran Gao, Fu Wang |
| 2025 | KDD | A Survey on Deep Learning based Time Series Analysis with Frequency Transformation. | Kun Yi, Qi Zhang, Wei Fan, Longbing Cao, Shoujin Wang, Hui He, Guodong Long, Liang Hu, Qingsong Wen, Hui Xiong |
| 2025 | KDD | IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting. | Wei Fan, Shun Zheng, Pengyang Wang, Rui Xie, Kun Yi, Qi Zhang, Jiang Bian, Yanjie Fu |
| 2025 | KDD | LettinGo: Explore User Profile Generation for Recommendation System. | Lu Wang, Di Zhang, Fangkai Yang, Pu Zhao, Jianfeng Liu, Yuefeng Zhan, Hao Sun, Qingwei Lin, Weiwei Deng, Dongmei Zhang, Feng Sun, Qi Zhang |
| 2025 | KDD | Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning. | Yunze Luo, Yuezihan Jiang, Yinjie Jiang, Gaode Chen, Jingchi Wang, Kaigui Bian, Peiyi Li, Qi Zhang |
| 2025 | KDD | ALSA: Context-Sensitive Prompt Privacy Preservation in Large Language Models. | Hongru Ma, Wenpeng Lu, Yanjie Liang, Tianyi Wang, Qi Zhang, Yingjie Zhu, Jiasheng Si |
| 2025 | KDD | ProST: Prompt Future Snapshot on Dynamic Graphs for Spatio-Temporal Prediction. | Kaiwen Xia, Li Lin, Shuai Wang, Qi Zhang, Shuai Wang, Tian He |
| 2025 | MICCAI | RDMR: Recursive Inference and Representation Disentanglement for Multimodal Large Deformation Registration. | Yibo Hu, Ziqi Zhao, Qi Zhang, Lisa X. Xu, Jianqi Sun |
| 2025 | MICCAI | MultiTransAD: Cross-Sequence Translation-Driven Anomaly Detection in Multi-sequence Brain MRI. | Qi Zhang, Yibo Hu, Jianqi Sun |
| 2025 | MICCAI | OrificeNet: Automatic Concealed Orifice Detection from Microscope Imagery with CBCT-Guided Refinement. | Kefan Zhou, Yufei Chen, Wei Liu, Qiyun Shen, Qi Zhang |
| 2025 | MMSP | Touch-Augmented Gaussian Splatting for Enhanced 3D Scene Reconstruction. | Yue Gao, Xiao Xu, Eckehard G. Steinbach, Daniel E. Lucani, Qi Zhang |
| 2025 | NAACL | Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling. | Yiwen Ding, Zhiheng Xi, Wei He, Lizhuoyuan Lizhuoyuan, Yitao Zhai, Shi Xiaowei, Xunliang Cai, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | NAACL | GameTox: A Comprehensive Dataset and Analysis for Enhanced Toxicity Detection in Online Gaming Communities. | Usman Naseem, Shuvam Shiwakoti, Siddhant Bikram Shah, Surendrabikram Thapa, Qi Zhang |
| 2025 | NAACL | UFO: A UI-Focused Agent for Windows OS Interaction. | Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2025 | NAACL | DynClean: Training Dynamics-based Label Cleaning for Distantly-Supervised Named Entity Recognition. | Qi Zhang, Huitong Pan, Zhijia Chen, Longin Jan Latecki, Cornelia Caragea, Eduard C. Dragut |
| 2025 | WWW | LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System. | Tianfu Wang, Yi Zhan, Jianxun Lian, Zhengyu Hu, Nicholas Jing Yuan, Qi Zhang, Xing Xie, Hui Xiong |
| 2025 | WWW | Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism. | Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang |
| 2025 | WWW | A Cold-start Recommendation System at Kuaishou Designed from the Short-video Perspective. | Gaode Chen, Ruina Sun, Yinjie Jiang, Tianxiang Li, Yinlong Dai, Qifan Shi, Xiaojie Qin, Jialong Fu, Piaoyi Chen, Ronggeng Huang, Na Li, Qi Zhang, Jiang Liang, Han Li, Kun Gai |
| 2025 | WWW | Towards Distributionally Balanced End-to-End Generative Retrieval. | Yuxuan Liu, Tianchi Yang, Zihan Zhang, Minghui Song, Haizhen Huang, Weiwei Deng, Feng Sun, Qi Zhang |
| 2025 | WWW | Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations. | Jin Li, Shoujin Wang, Qi Zhang, Shui Yu, Fang Chen |
| 2025 | WWW | Time-aware Medication Recommendation via Intervention of Dynamic Treatment Regimes. | Yishuo Li, Qi Zhang, Wenpeng Lu, Xueping Peng, Weiyu Zhang, Jiasheng Si, Yongshun Gong, Liang Hu |
| 2025 | WWW | DiGrI: Distorted Greedy Approach for Human-Assisted Online Suicide Ideation Detection. | Usman Naseem, Liang Hu, Qi Zhang, Shoujin Wang, Shoaib Jameel |
| 2025 | WWW | Ploutos: Towards Explainable Stock Movement Prediction with Financial Large Language Model. | Hanshuang Tong, Jun Li, Ning Wu, Ming Gong, Dongmei Zhang, Qi Zhang |
| 2025 | WWW | Spache: Accelerating Ubiquitous Web Browsing via Schedule-Driven Space Caching. | Qi Zhang, Qian Wu, Zeqi Lai, Jihao Li, Hewu Li, Yuyu Liu, Yuanjie Li, Jun Liu |
| 2025 | SIGCOMM | ByteTracker: An Agentless and Real-time Path-aware Network Probing System. | Shixian Guo, Kefei Liu, Yulin Lai, Yangyang Bai, Ziwei Zhao, Songlin Liu, Jianghang Ning, Gen Li, Jianwei Hu, Yongbin Dong, Feng Luo, Sisi Wen, Qi Zhang, Yuan Chen, Jiale Feng, Yang Bai, Chengcai Yao, Zhe Liu, Xin Hu, Yang Lv, Zhuo Jiang, Jiao Zhang, Tao Huang |
| 2025 | SP | Mind the Location Leakage in LEO Direct-to-Cell Satellite Networks. | Weisen Liu, Zeqi Lai, Qian Wu, Hewu Li, Yuxuan Weng, Wei Liu, Qi Zhang, Jihao Li, Yuanjie Li, Jun Liu |
| 2024 | AAAI | Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection. | Yunqian Fan, Xiuying Wei, Ruihao Gong, Yuqing Ma, Xiangguo Zhang, Qi Zhang, Xianglong Liu |
| 2024 | AAAI | Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. | An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao |
| 2024 | AAAI | Text Diffusion with Reinforced Conditioning. | Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang |
| 2024 | AAAI | Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting. | Qi Zhang, Yunfei Gong, Daijie Chen, Antoni B. Chan, Hui Huang |
| 2024 | AAAI | Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization. | Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou |
| 2024 | AAAI | LLMEval: A Preliminary Study on How to Evaluate Large Language Models. | Yue Zhang, Ming Zhang, Haipeng Yuan, Shichun Liu, Yongyao Shi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | AAAI | A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields. | Yiyu Zhuang, Qi Zhang, Xuan Wang, Hao Zhu, Ying Feng, Xiaoyu Li, Ying Shan, Xun Cao |
| 2024 | ACL | Making Harmful Behaviors Unlearnable for Large Language Models. | Xin Zhou, Yi Lu, Ruotian Ma, Yujian Wei, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ACL | Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments. | Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang |
| 2024 | ACL | StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback. | Shihan Dou, Yan Liu, Haoxiang Jia, Enyu Zhou, Limao Xiong, Junjie Shan, Caishuang Huang, Xiao Wang, Xiaoran Fan, Zhiheng Xi, Yuhao Zhou, Tao Ji, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | ACL | LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin. | Shihan Dou, Enyu Zhou, Yan Liu, Songyang Gao, Wei Shen, Limao Xiong, Yuhao Zhou, Xiao Wang, Zhiheng Xi, Xiaoran Fan, Shiliang Pu, Jiang Zhu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ACL | Se²: Sequential Example Selection for In-Context Learning. | Haoyu Liu, Jianfeng Liu, Shaohan Huang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Furu Wei, Qi Zhang |
| 2024 | ACL | HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition. | Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang |
| 2024 | ACL | ResLoRA: Identity Residual Mapping in Low-Rank Adaption. | Shuhua Shi, Shaohan Huang, Minghui Song, Zhoujun Li, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang |
| 2024 | ACL | Navigating the OverKill in Large Language Models. | Chenyu Shi, Xiao Wang, Qiming Ge, Songyang Gao, Xianjun Yang, Tao Gui, Qi Zhang, Xuanjing Huang, Xun Zhao, Dahua Lin |
| 2024 | ACL | Length Generalization of Causal Transformers without Position Encoding. | Jie Wang, Tao Ji, Yuanbin Wu, Hang Yan, Tao Gui, Qi Zhang, Xuanjing Huang, Xiaoling Wang |
| 2024 | ACL | Uncertainty Aware Learning for Language Model Alignment. | Yikun Wang, Rui Zheng, Liang Ding, Qi Zhang, Dahua Lin, Dacheng Tao |
| 2024 | ACL | Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation. | Yikun Wang, Rui Zheng, Haoming Li, Qi Zhang, Tao Gui, Fei Liu |
| 2024 | ACL | Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild. | Ting Wu, Jingyi Liu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ACL | ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages. | Junjie Ye, Sixian Li, Guanyu Li, Caishuang Huang, Songyang Gao, Yilong Wu, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | ACL | P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization. | Yuansen Zhang, Xiao Wang, Tianze Chen, Jiayi Fu, Tao Gui, Qi Zhang |
| 2024 | ACL | Unveiling Linguistic Regions in Large Language Models. | Zhihao Zhang, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | ACL | RECOST: External Knowledge Guided Data-efficient Instruction Tuning. | Qi Zhang, Yiming Zhang, Haobo Wang, Junbo Zhao |
| 2024 | ACL | CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending. | Shiyi Zhu, Jing Ye, Wei Jiang, Siqiao Xue, Qi Zhang, Yifan Wu, Jianguo Li |
| 2024 | APCC | Spectral Efficiency Analysis for Grant-Free Random Access Cell-Free Massive MIMO with Ricean Fading. | Shuai Xiao, Pei Liu, Qi Zhang, Wen Zhan, Jie Ding, Jinho Choi |
| 2024 | CIKM | Missing Interest Modeling with Lifelong User Behavior Data for Retrieval Recommendation. | Gaode Chen, Yuezihan Jiang, Rui Huang, Kuo Cai, Yunze Luo, Ruina Sun, Qi Zhang, Han Li, Kun Gai |
| 2024 | CIKM | Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction. | Jinzhi Shan, Qi Zhang, Chongyang Shi, Mengting Gui, Shoujin Wang, Usman Naseem |
| 2024 | CIKM | COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty. | Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Qi Zhang |
| 2024 | COLING | Calibrating LLM-Based Evaluator. | Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang |
| 2024 | COLING | SciDMT: A Large-Scale Corpus for Detecting Scientific Mentions. | Huitong Pan, Qi Zhang, Cornelia Caragea, Eduard C. Dragut, Longin Jan Latecki |
| 2024 | COLING | Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis. | Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | COLING | PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph. | Kun Wu, Xinyi Mou, Lanqing Xue, Zhenzhe Ying, Weiqiang Wang, Qi Zhang, Xuanjing Huang, Zhongyu Wei |
| 2024 | COLING | RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions. | Yuansen Zhang, Xiao Wang, Zhiheng Xi, Han Xia, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | COLING | Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals. | Rui Zheng, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | COLING | ORTicket: Let One Robust BERT Ticket Transfer across Different Tasks. | Yuhao Zhou, Wenxiang Chen, Rui Zheng, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | CVPR | ConTex-Human: Free-View Rendering of Human from a Single Image with Texture-Consistent Synthesis. | Xiangjun Gao, Xiaoyu Li, Chaopeng Zhang, Qi Zhang, Yanpei Cao, Ying Shan, Long Quan |
| 2024 | CVPR | HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation. | Xin Huang, Ruizhi Shao, Qi Zhang, Hongwen Zhang, Ying Feng, Yebin Liu, Qing Wang |
| 2024 | CVPR | GS-IR: 3D Gaussian Splatting for Inverse Rendering. | Zhihao Liang, Qi Zhang, Ying Feng, Ying Shan, Kui Jia |
| 2024 | CVPR | FINER: Flexible Spectral-Bias Tuning in Implicit NEural Representation by Variableperiodic Activation Functions. | Zhen Liu, Hao Zhu, Qi Zhang, Jingde Fu, Weibing Deng, Zhan Ma, Yanwen Guo, Xun Cao |
| 2024 | CVPR | HumanRef: Single Image to 3D Human Generation via Reference-Guided Diffusion. | Jingbo Zhang, Xiaoyu Li, Qi Zhang, Yanpei Cao, Ying Shan, Jing Liao |
| 2024 | CVPR | Multi-angle Consistent Generative NeRF with Additive Angular Margin Momentum Contrastive Learning. | Hang Zou, Hui Zhang, Yuan Zhang, Hui Ma, Dexin Zhao, Qi Zhang, Qi Li |
| 2024 | DCC | triaGeD: using compression for anomaly detection. | Francesco Taurone, Jonas Dorsch, Daniel E. Lucani, Qi Zhang |
| 2024 | ECAI | Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. | Kaikai An, Fangkai Yang, Junting Lu, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2024 | ECAI | FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding. | Huitong Pan, Qi Zhang, Cornelia Caragea, Eduard C. Dragut, Longin Jan Latecki |
| 2024 | ECCV | Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360$^\circ $. | Yuxiao He, Yiyu Zhuang, Yanwen Wang, Yao Yao, Siyu Zhu, Xiaoyu Li, Qi Zhang, Xun Cao, Hao Zhu |
| 2024 | ECCV | Online Learning via Memory: Retrieval-Augmented Detector Adaptation. | Yanan Jian, Fuxun Yu, Qi Zhang, William Levine, Brandon Dubbs, Nikolaos Karianakis |
| 2024 | ECCV | Analytic-Splatting: Anti-Aliased 3D Gaussian Splatting via Analytic Integration. | Zhihao Liang, Qi Zhang, Wenbo Hu, Lei Zhu, Ying Feng, Kui Jia |
| 2024 | ECCV | Neural Poisson Solver: A Universal and Continuous Framework for Natural Signal Blending. | Delong Wu, Hao Zhu, Qi Zhang, You Li, Zhan Ma, Xun Cao |
| 2024 | ECCV | Physically Plausible Color Correction for Neural Radiance Fields. | Qi Zhang, Ying Feng, Hongdong Li |
| 2024 | ECCV | Mahalanobis Distance-Based Multi-view Optimal Transport for Multi-view Crowd Localization. | Qi Zhang, Kaiyi Zhang, Antoni B. Chan, Hui Huang |
| 2024 | ECCV | IRGen: Generative Modeling for Image Retrieval. | Yidan Zhang, Ting Zhang, Dong Chen, Yujing Wang, Qi Chen, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Mao Yang, Qingmin Liao, Jingdong Wang, Baining Guo |
| 2024 | EMNLP | PDF-to-Tree: Parsing PDF Text Blocks into a Tree. | Yue Zhang, Zhihao Zhang, Wenbin Lai, Chong Zhang, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration. | Jun Zhao, Can Zu, Xu Hao, Yi Lu, Wei He, Yiwen Ding, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning. | Lu Chen, Rui Zheng, Binghai Wang, Senjie Jin, Caishuang Huang, Junjie Ye, Zhihao Zhang, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | Efficient Sequential Decision Making with Large Language Models. | Dingyang Chen, Qi Zhang, Yinglun Zhu |
| 2024 | EMNLP | AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation. | Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang |
| 2024 | EMNLP | LongHeads: Multi-Head Attention is Secretly a Long Context Processor. | Yi Lu, Xin Zhou, Wei He, Jun Zhao, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | Reward Modeling Requires Automatic Adjustment Based on Data Quality. | Binghai Wang, Rui Zheng, Lu Chen, Zhiheng Xi, Wei Shen, Yuhao Zhou, Dong Yan, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data. | Han Xia, Songyang Gao, Qiming Ge, Zhiheng Xi, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning. | Junjie Ye, Yilong Wu, Songyang Gao, Caishuang Huang, Sixian Li, Guanyu Li, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | EMNLP | SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents. | Qi Zhang, Zhijia Chen, Huitong Pan, Cornelia Caragea, Longin Jan Latecki, Eduard C. Dragut |
| 2024 | EMNLP | TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities. | Ming Zhang, Caishuang Huang, Yilong Wu, Shichun Liu, Huiyuan Zheng, Yurui Dong, Yujiong Shen, Shihan Dou, Jun Zhao, Junjie Ye, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | EMNLP | Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding. | Chong Zhang, Yi Tu, Yixi Zhao, Chenshu Yuan, Huan Chen, Yue Zhang, Mingxu Chai, Ya Guo, Huijia Zhu, Qi Zhang, Tao Gui |
| 2024 | EMNLP | Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems. | Jun Zhao, Jingqi Tong, Yurong Mou, Ming Zhang, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs. | Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | EfficientRAG: Efficient Retriever for Multi-Hop Question Answering. | Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng, Fangkai Yang, Jia Liu, Shujian Huang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2024 | EuroPar | Hurry: Dynamic Collaborative Framework For Low-Orbit Mega-Constellation Data Downloading. | Handong Luo, Wenhao Liu, Qi Zhang, Ziheng Yang, Quanwei Lin, Wenjun Zhu, Kun Qiu, Zhe Chen, Yue Gao |
| 2024 | GLOBECOM | TRIC: Triage Compressed Data at the Edge for Efficient Data Transmission in Anomaly Detection. | Francesco Taurone, Jonas Dorsch, Qi Zhang, Daniel E. Lucani |
| 2024 | HCI | Navigating the Generation Z Wave: Transforming Digital Assistants into Dream Companions with a Touch of Luxury, Hedonism, and Excitement. | Weizhu Pan, Yunxuan Xing, Siwen Ge, Lubing He, Zhuoyi Sha, Ziwen Chen, Chengka Wong, Wenyuan Jiang, Yang Li, Xiaotian Ma, Guoxuan Xie, Yutong Zhai, Qi Zhang, Yiyang Liu, Ruilu Yu, Bowen Li, Ruonan Huang, Mengmeng Xu, Yang Guo, Wei Liu |
| 2024 | ICASSP | Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement. | Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis |
| 2024 | ICASSP | SAM: A Self-Adaptive Attention Module for Context-Aware Recommendation System. | Jiabin Liu, Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang, Zhongyu Wei, Qi Zhang |
| 2024 | ICASSP | Newtonalized Orthogonal Matching Pursuit for Mixed Far-Field and Near-Field Source Localization. | Qi Zhang, Hong Jiang, Yunchang Liu |
| 2024 | ICASSP | AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs. | Qi Zhang, Yanfeng Sun, Jipeng Guo, Shaofan Wang, Jinghua Li, Junbin Gao, Baocai Yin |
| 2024 | ICASSP | A Soft Contrastive Learning-Based Prompt Model for Few-Shot Sentiment Analysis. | Jingyi Zhou, Jie Zhou, Jiabao Zhao, Siyin Wang, Haijun Shan, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ICDE | I/O Efficient Max-Truss Computation in Large Static and Dynamic Graphs. | Jiaqi Jiang, Qi Zhang, Rong-Hua Li, Qiangqiang Dai, Guoren Wang |
| 2024 | ICDM | DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation. | Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu |
| 2024 | ICDM | Exploitation or Exploration Next? User Behavior Decoupling and Emerging Intent Modeling for Next-Item Recommendation. | Nengjun Zhu, Lingdan Sun, Xiangfeng Luo, Jian Cao, Qi Zhang, Xinjiang Lu |
| 2024 | ICLR | Non-negative Contrastive Learning. | Yifei Wang, Qi Zhang, Yaoyu Guo, Yisen Wang |
| 2024 | ICLR | Improving Generalization of Alignment with Human Preferences through Group Invariant Learning. | Rui Zheng, Wei Shen, Yuan Hua, Wenbin Lai, Shihan Dou, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Haoran Huang, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ICML | E(3)-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning. | Dingyang Chen, Qi Zhang |
| 2024 | ICML | MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization. | Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang |
| 2024 | ICML | Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback. | Songyang Gao, Qiming Ge, Wei Shen, Shihan Dou, Junjie Ye, Xiao Wang, Rui Zheng, Yicheng Zou, Zhi Chen, Hang Yan, Qi Zhang, Dahua Lin |
| 2024 | ICML | Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning. | Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, Wei He, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ICML | Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining. | Qi Zhang, Tianqi Du, Haotian Huang, Yifei Wang, Yisen Wang |
| 2024 | ICNP | STARVERI: Efficient and Accurate Verification for Risk-Avoidance Routing in Leo Satellite Networks. | Chenwei Gu, Qian Wu, Zeqi Lai, Hewu Li, Jihao Li, Weisen Liu, Qi Zhang, Jun Liu, Yuanjie Li |
| 2024 | ICPR | A Weighted Discrete Wavelet Transform-Based Capsule Network for Malware Classification. | Tonghua Qiao, Chunjie Cao, Binghui Zou, Fangjian Tao, Yinan Cheng, Qi Zhang, Jingzhang Sun |
| 2024 | IGARSS | Deep-Learning-Based Large-Scale Forest Height Generation. | Qi Zhang, Yuanyuan Wang, Xiao Xiang Zhu |
| 2024 | IJCAI | Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting. | Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An |
| 2024 | IJCAI | HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis. | Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu |
| 2024 | ICRA | Design Octree-Based Method to Improve Model-Mediated Teleoperation in Tactile Internet. | Mads Antonsen, Francesco Chinello, Qi Zhang |
| 2024 | IJCNN | A Lightweight Convolutional Neural Network for Personalized Blood Pressure Estimation Based on Photoplethysmography. | Jin Zhao, Qi Zhang, Caijie Qin, Tao Lu, Zhaoyi Ning, Qiang Guan, Xibo Ma |
| 2024 | INFOCOM | Your Mega-Constellations Can Be Slim: A Cost-Effective Approach for Constructing Survivable and Performant LEO Satellite Networks. | Zeqi Lai, Yibo Wang, Hewu Li, Qian Wu, Qi Zhang, Yunan Hou, Jun Liu, Yuanjie Li |
| 2024 | INFOCOM | SkyCastle: Taming LEO Mobility to Facilitate Seamless and Low-latency Satellite Internet Services. | Jihao Li, Hewu Li, Zeqi Lai, Qian Wu, Weisen Liu, Xiaomo Wang, Yuanjie Li, Jun Liu, Qi Zhang |
| 2024 | INFOCOM | In-Orbit Processing or Not? Sunlight-Aware Task Scheduling for Energy-Efficient Space Edge Computing Networks. | Weisen Liu, Zeqi Lai, Qian Wu, Hewu Li, Qi Zhang, Zonglun Li, Yuanjie Li, Jun Liu |
| 2024 | IPIN | Data Collection and Alignment Algorithms for Data-driven Inertial Navigation. | Ziheng Zhou, Qi Zhang, Shanshan Zhang, Zhiyu Cai, Guanze Lin, Lingxiang Zheng, Ao Peng, Xuemin Hong |
| 2024 | IROS | A Low-Texture Robust Hybrid Feature Based Visual Odometry. | He Wang, Qi Zhang, Zhiwen Zheng, Xiaoli Li, Hongye Tan, Ru Li |