| 2026 | AAAI | Auto-PRE: An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation. | Junjie Chen, Weihang Su, Zhumin Chu, Haitao Li, Yujia Zhou, Dingbo Yuan, Xudong Wang, Jun Zhou, Yiqun Liu, Min Zhang, Shaoping Ma, Qingyao Ai |
| 2026 | AAAI | Tighter Truncated Rectangular Prism Approximation for RNN Robustness Verification. | Xingqi Lin, Liangyu Chen, Min Wu, Min Zhang, Zhenbing Zeng |
| 2026 | AAAI | PLaST: Towards Paralinguistic-aware Speech Translation. | Yi Li, Rui Zhao, Ruiquan Zhang, Jinsong Su, Daimeng Wei, Min Zhang, Yidong Chen |
| 2026 | AAAI | Improving Value-based Process Verifier via Low-Cost Variance Reduction. | Zetian Sun, Dongfang Li, Baotian Hu, Min Zhang |
| 2026 | AAAI | Towards Closed-Loop Embodied Empathy Evolution: Probing LLM-Centric Lifelong Empathic Motion Generation in Unseen Scenarios. | Jiawen Wang, Jingjing Wang, Tianyang Chen, Min Zhang, Guodong Zhou |
| 2026 | AAAI | Knowledge Completes the Vision: A Multimodal Entity-aware Retrieval-Augmented Generation Framework for News Image Captioning. | Xiaoxing You, Qiang Huang, Lingyu Li, Chi Zhang, Xiaopeng Liu, Min Zhang, Jun Yu |
| 2026 | AAAI | Collaborative LLM Numerical Reasoning with Local Data Protection. | Min Zhang, Yuzhe Lu, Yun Zhou, Panpan Xu, Lin Lee Cheong, Chang-Tien Lu, Haozhu Wang |
| 2026 | AAAI | Spherical Geometry Diffusion: Generating High-quality 3D Face Geometry via Sphere-anchored Representations. | Junyi Zhang, Yiming Wang, Yunhong Lu, Qichao Wang, Wenzhe Qian, Xiaoyin Xu, David Gu, Min Zhang |
| 2026 | ACISP | Transparent Fully Batchable Polynomial Commitment with Application to Scalable VSS. | Xiangyu Kong, Min Zhang, Yu Chen |
| 2026 | ACL | Dynamic Long Context Reasoning over Compressed Memory via End-to-End Reinforcement Learning. | Zhuoen Chen, Dongfang Li, Meishan Zhang, Baotian Hu, Min Zhang |
| 2026 | ACL | Step-GRPO: Internalizing Dynamic Early Exit for Efficient Reasoning. | Benteng Chen, Weida Wang, Shufei Zhang, Mingbao Lin, Min Zhang |
| 2026 | ACL | Beyond Chunking: Discourse-Aware Hierarchical Retrieval for Long Document Question Answering. | Huiyao Chen, Yi Yang, Yinghui Li, Meishan Zhang, Baotian Hu, Min Zhang |
| 2026 | ACL | Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis and Interpretation. | Renfei Dang, Peng Hu, Zhejian Lai, Changjiang Gao, Min Zhang, Shujian Huang |
| 2026 | ACL | Escaping the Echo Trap: On Credit Assignment Failure in Multi-turn LLM Self-Reflection. | Linxuan Du, Guangquan Xue, Xiaobo Liang, Qipeng Huang, Yuyang Ding, Xinyu Shi, Zhang Yijun, Ji Qi, Wenpeng Zhu, Juntao Li, Min Zhang |
| 2026 | ACL | E³-TIR: Enhanced Experience Exploitation for Tool-Integrated Reasoning. | Weiyang Guo, Zesheng Shi, Liye Zhao, Jiayuan Ma, Zeen Zhu, Junxian He, Min Zhang, Jing Li |
| 2026 | ACL | Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable Reward. | Weiyang Guo, Zesheng Shi, Zeen Zhu, Yuan Zhou, Min Zhang, Jing Li |
| 2026 | ACL | SAT: Balancing Reasoning Accuracy and Efficiency with Stepwise Adaptive Thinking. | Weiyang Huang, Xuefeng Bai, Kehai Chen, Xinyang Chen, Yibin Chen, Weili Guan, Min Zhang |
| 2026 | ACL | ToolOmni: Enabling Open-World Tool Use via Agentic learning with Proactive Retrieval and Grounded Execution. | Shouzheng Huang, Meishan Zhang, Baotian Hu, Min Zhang |
| 2026 | ACL | DeReA: Improving Idiom Translation with Detect-Retrieve-Arbitrate Reasoning. | Rongqing Jiang, Xuebo Liu, Shengxin Liu, Yutong Wang, Min Zhang, Shimin Tao, Daimeng Wei |
| 2026 | ACL | DUAL RM: Beyond Rule-based Preference Reward Modeling via Meta-Reward. | Xiaobo Liang, Wanfu Wang, Qipeng Huang, Yuyang Ding, Zecheng Tang, Yixin Ji, Qianben Chen, Zhe Zhao, Kehai Chen, Juntao Li, Min Zhang |
| 2026 | ACL | Diagnosing and Remedying Representation Deficiencies for Deterministic Reasoning in KGQA. | Gewen Liang, Mufan Xu, Kehai Chen, Wei Wang, Yuwei Wang, Muyun Yang, Tiejun Zhao, Min Zhang |
| 2026 | ACL | From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents. | Niu Lian, Yuting Wang, Hanshu Yao, Jinpeng Wang, Bin Chen, Yaowei Wang, Min Zhang, Shu-Tao Xia |
| 2026 | ACL | LycheeCluster: Efficient Long-Context Inference with Structure-Aware Chunking and Hierarchical KV Indexing. | Dongfang Li, Zixuan Liu, Gang Lin, Baotian Hu, Min Zhang |
| 2026 | ACL | WindowsWorld: A Process-Centric Benchmark of Autonomous GUI Agents in Professional Cross-Application Environments. | Jinchao Li, Yunxin Li, Chenrui Zhao, Zhenran Xu, Baotian Hu, Min Zhang |
| 2026 | ACL | D-QRELO: Training- and Data-Free Delta Compression for Large Language Models via Quantization and Residual Low-Rank Approximation. | Junlin Li, Shuangyong Song, Guodong Du, Ngai Wong, Xuebo Liu, Yongxiang Li, Min Zhang, Jing Li, Xuelong Li |
| 2026 | ACL | UniMoE-Audio: Unified Speech and Music Generation with Dynamic-Capacity Mixture-of-Experts. | Zhenyu Liu, Yunxin Li, Xuanyu Zhang, Qixun Teng, Shenyuan Jiang, Xinyu Chen, Haoyuan Shi, Haolan Chen, Fanbo Meng, Mingjun Zhao, Yu Xu, Yancheng He, Baotian Hu, Haizhou Li, Min Zhang |
| 2026 | ACL | Fair-CCD: Mitigating Bias in Large Language Models for Tabular Classification Through Context-Contrastive Decoding. | Donghan Liu, Han Sun, Zhaohui Wang, Qin Li, Min Zhang |
| 2026 | ACL | Think Faster Than Words: Efficient LLM Chain-of-Thought Reasoning via Dynamic Shortcut Decoding. | Fan Liu, Yanhao Wang, Min Zhang, Zhikang Chen, Zeyuan Li, Lewei He, Jiahui Pan |
| 2026 | ACL | Hierarchical Acoustic-Semantic Modeling: Modality Separation and Semantic Coherence for Full-Duplex SLMs. | Zhenyu Liu, Xuanyu Zhang, Yunxin Li, Qixun Teng, Shenyuan Jiang, Haolan Chen, Mingjun Zhao, Fanbo Meng, Yu Xu, Yancheng He, Baotian Hu, Haizhou Li, Min Zhang |
| 2026 | ACL | Taming Actor-Observer Asymmetry in Agents via Dialectical Alignment. | Bobo Li, Rui Wu, Zibo Ji, Meishan Zhang, Hao Fei, Min Zhang, Mong-Li Lee, Wynne Hsu |
| 2026 | ACL | Team-Based Self-Play With Dual Adaptive Weighting for Fine-Tuning LLMs. | Wu Li, Yigeng Zhou, Zesheng Shi, Yequan Wang, Min Zhang, Jing Li |
| 2026 | ACL | Beyond Unimodal Shortcuts: MLLMs as Cross-Modal Reasoners for Grounded Named Entity Recognition. | Jinlong Ma, Yu Zhang, Xuefeng Bai, Kehai Chen, Yuwei Wang, Zeming Liu, Jun Yu, Min Zhang |
| 2026 | ACL | Dynamic Sampling that Adapts: Self-Aware Iterative Data Persistent Optimization for Mathematical Reasoning. | Jun Rao, Xuebo Liu, Hexuan Deng, Zepeng Lin, Zixiong Yu, Jiansheng Wei, Xiaojun Meng, Min Zhang |
| 2026 | ACL | MSVBench: Towards Human-Level Evaluation of Multi-Shot Video Generation. | Haoyuan Shi, Yunxin Li, Nanhao Deng, Zhenran Xu, Xinyu Chen, Longyue Wang, Baotian Hu, Min Zhang |
| 2026 | ACL | IS-CoT: Breaking the Long-form Generation Collapse via Interleaved Structural Thinking. | Zechen Sun, Yuyang Sun, Zecheng Tang, Juntao Li, Wenpeng Hu, Wenliang Chen, Zhunchen Luo, Guotong Geng, Min Zhang |
| 2026 | ACL | Crossing the Reward Bridge: Expanding Reinforcement Learning with Verifiable Rewards Across Diverse Domains. | Yi Su, Dian Yu, Linfeng Song, Juntao Li, Haitao Mi, Zhaopeng Tu, Min Zhang, Dong Yu |
| 2026 | ACL | MIND Your Reasoning: A Meta-Cognitive Intuitive-Reflective Network for Dual-Reasoning in Multimodal Stance Detection. | Bingbing Wang, Zhengda Jin, Bin Liang, Wenjie Li, Jing Li, Ruifeng Xu, Min Zhang |
| 2026 | ACL | Efficient Reasoning for LLMs through Speculative Chain-of-Thought. | Jikai Wang, Juntao Li, Jianye Hou, Yan Bowen, Lijun Wu, Min Zhang |
| 2026 | ACL | BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs. | Yue Wang, Ruotian Ma, Xingyu Chen, Zhengliang Shi, Morunliu Yang, Wanshun Chen, Huang Liu, Jiadi Yao, Xin He, Qu Yang, Qingxuan Jiang, Fanghua Ye, Juntao Li, Zhaopeng Tu, Xiaolong Li, Liefeng Bo, Min Zhang |
| 2026 | ACL | SR-RAG: Verifiable Multi-Hop Reasoning via On-the-fly Symbolic Graph Construction. | Zehua Wang, Zhaojin Zhang, Boyu Qiu, Xiaolong Weng, Ying Xiong, Buzhou Tang, Min Zhang |
| 2026 | ACL | Tailoring Diagnostic Modeling to Individual Learners: Personalized Distractor Generation via MCTS-Guided Reasoning Reconstruction. | Tao Wu, Jingyuan Chen, Wang Lin, Jian Zhan, Mengze Li, Fangzhou Jin, Min Zhang, Kun Kuang, Fei Wu |
| 2026 | ACL | When Is Thinking Enough? Early Exit via Sufficiency Assessment for Efficient Reasoning. | Yang Xiang, Yixin Ji, Ruotao Xu, Dan Qiao, Zheming Yang, Juntao Li, Min Zhang |
| 2026 | ACL | When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning. | Ruotao Xu, Yixin Ji, Yu Luo, Jinpeng Li, Dong Li, Peifeng Li, Juntao Li, Min Zhang |
| 2026 | ACL | ComfyFlow: Benchmarking LLMs for AIGC Workflow Generation. | Zhenran Xu, Yiyu Wang, Yunxin Li, Muyang Ye, Xue Yang, Kai Chen, Longyue Wang, Weihua Luo, Baotian Hu, Min Zhang |
| 2026 | ACL | ComfyUI-R1: Exploring Reasoning Models for Workflow Generation. | Zhenran Xu, Yiyu Wang, Xue Yang, Longyue Wang, Weihua Luo, Kaifu Zhang, Baotian Hu, Min Zhang |
| 2026 | ACL | MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data Synthesis. | Zixiong Yu, Jun Rao, Guhan Chen, Songtao Tian, Bohan Li, Jiansheng Wei, Min Zhang, Xiaojun Meng |
| 2026 | ACL | Less Languages, Less Tokens: An Efficient Unified Logic Cross-lingual Chain-of-Thought Reasoning Framework. | Chenyuan Zhang, Qiguang Chen, Xie Chen, Zhuotao Tian, Bowen Xing, Meishan Zhang, Libo Qin, Baotian Hu, Min Zhang |
| 2026 | ACL | Learning to Extract Rational Evidence via Reinforcement Learning for Retrieval-Augmented Generation. | Xinping Zhao, Shouzheng Huang, Yan Zhong, Xinshuo Hu, Meishan Zhang, Baotian Hu, Min Zhang |
| 2026 | CHI | Sociotechnical Imaginaries of Responsible Design: A Case for Mitigating Gender-based Online Harm. | Min Zhang, Arosha K. Bandara, Gordon Rugg, Irum Rauf, Dilrukshi Gamage, Bashar Nuseibeh, Silvia Podest, Wanling Cai, Sarah Robinson |
| 2026 | CRYPTO | Unconditionally Secure MPC for Boolean Circuits with Constant Communication. | Yubo Zeng, Kang Yang, Dengguo Feng, Min Zhang |
| 2026 | DASFAA | Efficient Single Server Private Information Retrieval Without Preprocessing. | Haohao Jiang, Yi Qu, Long Chen, Min Zhang, Xiaoyi Wang, Dengguo Feng |
| 2026 | DASFAA | LFRkNN: Towards Leakage-Free Reverse K-Nearest Neighbor Queries on Encrypted Data. | Tianqi Sun, Jialin Chi, Min Zhang, Axin Wu, Dengguo Feng |
| 2026 | DASFAA | Causal Inference Supervised Directed Knowledge Generation for Causal Discovery. | Xiabing Zhou, Yucheng Yao, Ye Zhang, Junhao Feng, Min Zhang |
| 2026 | EuroCrypt | k-out-of-n Proofs and Applications to Privacy-Preserving Cryptocurrencies. | Min Zhang, Yu Chen, Xiyuan Fu |
| 2026 | FM | A Formal Framework for Predicting Distributed System Performance Under Faults. | Ziwei Zhou, Si Liu, Zhou Zhou, Peixin Wang, Min Zhang |
| 2026 | ICDE | Listing Minimal Cores in Large Real-World Graphs. | Yukai Sun, Kaiqiang Yu, Shengxin Liu, Cheng Long, Raymond Chi-Wing Wong, Xun Zhou, Min Zhang |
| 2026 | IWQoS | Beyond Up and Down: Analyzing Temporal Phenomena in IPv6 Probing Responses. | Yudong Lian, Jinfeng Peng, Pengfei Xue, Chengxi Xu, Fan Shi, Min Zhang, Jiatang Zhao, Quming Peng |
| 2026 | NDSS | Demystifying the Access Control Mechanism of ESXi VMKernel. | Yue Liu, Zexiang Zhang, Jiaxun Zhu, Hao Zheng, Jiaqing Huang, Wenbo Shen, Gaoning Pan, Yuliang Lu, Min Zhang, Zulie Pan, Guang Cheng |
| 2026 | NDSS | CoT-DPG: A Co-Training based Dynamic Password Guessing Method. | Chenyang Wang, Fan Shi, Min Zhang, Chengxi Xu, Miao Hu, Pengfei Xue, Shasha Guo, Jinghua Zheng |
| 2026 | NDSS | Beyond Jailbreak: Unveiling Risks in LLM Applications Arising from Blurred Capability Boundaries. | Yunyi Zhang, Shibo Cui, Baojun Liu, Jingkai Yu, Min Zhang, Fan Shi, Han Zheng |
| 2026 | PKC | Concretely Efficient Fluid MPC with Linear Communication. | Yubo Zeng, Kang Yang, Dengguo Feng, Min Zhang |
| 2026 | WCNC | UAV Cooperative Transmission in Low-Altitude Heterogeneous Networks Based on Multi-Agent Reinforcement Learning. | Chuanzi Wang, Chao Dong, Xiaojun Zhu, Jiahao You, Min Zhang |
| 2026 | SIGIR | A Graph-Enhanced MLLM for Hierarchical Multimodal Emotion Understanding and Support in Conversations. | Geng Tu, Taiyu Niu, Xi Zeng, Ruifeng Xu, Min Zhang |
| 2026 | SIGIR | SocialDropout: Dynamic Agent Dropout for Social Simulation. | Huajie Wang, Geng Tu, Xi Zeng, Ruifeng Xu, Min Zhang |
| 2026 | SIGIR | Negotiating the Punchline: Contextual Meme Understanding via Discrete Semantic Energy Minimization. | Bingbing Wang, Zihan Wang, Zhengda Jin, Jing Li, Ruifeng Xu, Min Zhang |
| 2026 | SIGIR | Cross-Stage Signal Propagation for Negative Filtering in Multi-Stage Ad Delivery. | Min Zhang, Ganlin Song, Dong Liang, Lizhang Qin, Chao Ma |
| 2025 | AAAI | Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference. | Han Zhao, Min Zhang, Wei Zhao, Pengxiang Ding, Siteng Huang, Donglin Wang |
| 2025 | AAAI | CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models. | Dongfang Li, Zetian Sun, Xinshuo Hu, Baotian Hu, Min Zhang |
| 2025 | AAAI | Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering. | Yifan Lu, Yigeng Zhou, Jing Li, Yequan Wang, Xuebo Liu, Daojing He, Fangming Liu, Min Zhang |
| 2025 | AAAI | Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLM. | Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen, Rongxiang Weng, Muyun Yang, Tiejun Zhao, Min Zhang |
| 2025 | AAAI | BERT-Based Code Learning for Exception Localization and Type Prediction. | Chongyu Zhang, Qiping Tao, Liangyu Chen, Min Zhang |
| 2025 | ACL | A Training-free LLM-based Approach to General Chinese Character Error Correction. | Houquan Zhou, Bo Zhang, Zhenghua Li, Ming Yan, Min Zhang |
| 2025 | ACL | Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer. | Guodong Du, Zitao Fang, Jing Li, Junlin Li, Runhua Jiang, Shuyang Yu, Yifei Guo, Yangneng Chen, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Honghai Liu, Min Zhang |
| 2025 | ACL | Accurate KV Cache Quantization with Outlier Tokens Tracing. | Yi Su, Yuechi Zhou, Quantong Qiu, Juntao Li, Qingrong Xia, Ping Li, Xinyu Duan, Zhefeng Wang, Min Zhang |
| 2025 | ACL | \mathcalA³: Automatic Alignment Framework for Attributed Text Generation. | Yue Wang, Haoke Zhang, Juntao Li, Jinxiong Chang, Min Zhang |
| 2025 | ACL | LLM-based Translation Inference with Iterative Bilingual Understanding. | Andong Chen, Kehai Chen, Yang Xiang, Xuefeng Bai, Muyun Yang, Yang Feng, Tiejun Zhao, Min Zhang |
| 2025 | ACL | VideoVista-CulturalLingo: 360° Horizons-Bridging Cultures, Languages, and Domains in Video Comprehension. | Xinyu Chen, Yunxin Li, Haoyuan Shi, Baotian Hu, Wenhan Luo, Yaowei Wang, Min Zhang |
| 2025 | ACL | Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation. | Andong Chen, Yuchen Song, Kehai Chen, Xuefeng Bai, Muyun Yang, Liqiang Nie, Jie Liu, Tiejun Zhao, Min Zhang |
| 2025 | ACL | Efficient Safety Alignment of Large Language Models via Preference Re-ranking and Representation-based Reward Modeling. | Qiyuan Deng, Xuefeng Bai, Kehai Chen, Yaowei Wang, Liqiang Nie, Min Zhang |
| 2025 | ACL | DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization. | Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Jing Li, Min Zhang, Zhaopeng Tu |
| 2025 | ACL | Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch. | Yuyang Ding, Xinyu Shi, Xiaobo Liang, Juntao Li, Zhaopeng Tu, Qiaoming Zhu, Min Zhang |
| 2025 | ACL | Two Intermediate Translations Are Better Than One: Fine-tuning LLMs for Document-level Translation Refinement. | Yichen Dong, Xinglin Lyu, Junhui Li, Daimeng Wei, Min Zhang, Shimin Tao, Hao Yang |
| 2025 | ACL | MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming. | Weiyang Guo, Jing Li, Wenya Wang, Yu Li, Daojing He, Jun Yu, Min Zhang |
| 2025 | ACL | Contrastive Learning on LLM Back Generation Treebank for Cross-domain Constituency Parsing. | Peiming Guo, Meishan Zhang, Jianling Li, Min Zhang, Yue Zhang |
| 2025 | ACL | Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling. | Junlin Li, Guodong Du, Jing Li, Sim Kuan Goh, Wenya Wang, Yequan Wang, Fangming Liu, Ho-Kin Tang, Saleh Alharbi, Daojing He, Min Zhang |
| 2025 | ACL | Tool learning via Inference-time Scaling and Cycle Verifier. | Xiaobo Liang, Wenjin Xie, Juntao Li, Wanfu Wang, Yibin Chen, Kehai Chen, Min Zhang |
| 2025 | ACL | Generative Reward Modeling via Synthetic Criteria Preference Learning. | Xiaobo Liang, Haoke Zhang, Juntao Li, Kehai Chen, Qiaoming Zhu, Min Zhang |
| 2025 | ACL | LLMs Can Also Do Well! Breaking Barriers in Semantic Role Labeling via Large Language Models. | Xinxin Li, Huiyao Chen, Chengjun Liu, Jing Li, Meishan Zhang, Jun Yu, Min Zhang |
| 2025 | ACL | BrainECHO: Semantic Brain Signal Decoding through Vector-Quantized Spectrogram Reconstruction for Whisper-Enhanced Text Generation. | Jilong Li, Zhenxi Song, Jiaqi Wang, Meishan Zhang, Honghai Liu, Min Zhang, Zhiguo Zhang |
| 2025 | ACL | Adaptive Detoxification: Safeguarding General Capabilities of LLMs through Toxicity-Aware Knowledge Editing. | Yifan Lu, Jing Li, Yigeng Zhou, Yihui Zhang, Wenya Wang, Xiucheng Li, Meishan Zhang, Fangming Liu, Jun Yu, Min Zhang |
| 2025 | ACL | DoCIA: An Online Document-Level Context Incorporation Agent for Speech Translation. | Xinglin Lyu, Wei Tang, Yuang Li, Xiaofeng Zhao, Ming Zhu, Junhui Li, Yunfei Lu, Min Zhang, Daimeng Wei, Hao Yang, Min Zhang |
| 2025 | ACL | DISC: Plug-and-Play Decoding Intervention with Similarity of Characters for Chinese Spelling Check. | Ziheng Qiao, Houquan Zhou, Yumeng Liu, Zhenghua Li, Min Zhang, Bo Zhang, Chen Li, Ji Zhang, Fei Huang |
| 2025 | ACL | Decoder-Only LLMs can be Masked Auto-Encoders. | Dan Qiao, Yuan Gao, Zheming Yang, Di Yang, Ziheng Wu, Pengcheng Lu, Minghui Qiu, Juntao Li, Min Zhang |
| 2025 | ACL | APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training. | Jun Rao, Zepeng Lin, Xuebo Liu, Xiaopeng Ke, Lian Lian, Dong Jin, Shengjun Cheng, Jun Yu, Min Zhang |
| 2025 | ACL | Safety Alignment via Constrained Knowledge Unlearning. | Zesheng Shi, Yucheng Zhou, Jing Li, Yuxin Jin, Yu Li, Daojing He, Fangming Liu, Saleh Alharbi, Jun Yu, Min Zhang |
| 2025 | ACL | The Rise of Darkness: Safety-Utility Trade-Offs in Role-Playing Dialogue Agents. | Yihong Tang, Kehai Chen, Xuefeng Bai, Zheng-Yu Niu, Bo Wang, Jie Liu, Min Zhang |
| 2025 | ACL | L-CiteEval: A Suite for Evaluating Fidelity of Long-context Models. | Zecheng Tang, Keyan Zhou, Juntao Li, Baibei Ji, Jianye Hou, Min Zhang |
| 2025 | ACL | AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration. | Zhexuan Wang, Yutong Wang, Xuebo Liu, Liang Ding, Miao Zhang, Jie Liu, Min Zhang |
| 2025 | ACL | A Unified Agentic Framework for Evaluating Conditional Image Generation. | Jifang Wang, Yangxue, Longyue Wang, Zhenran Xu, Yiyu Wang, Yaowei Wang, Weihua Luo, Kaifu Zhang, Baotian Hu, Min Zhang |
| 2025 | ACL | Locate-and-Focus: Enhancing Terminology Translation in Speech Language Models. | Suhang Wu, Jialong Tang, Chengyi Yang, Pei Zhang, Baosong Yang, Junhui Li, Junfeng Yao, Min Zhang, Jinsong Su |
| 2025 | ACL | An Empirical Study of Iterative Refinements for Non-autoregressive Translation. | Yisheng Xiao, Pei Guo, Zechen Sun, Juntao Li, Kai Song, Min Zhang |
| 2025 | ACL | Unveiling the Potential of BERT-family: A New Recipe for Building Scalable, General and Competitive Large Language Models. | Yisheng Xiao, Juntao Li, Wenpeng Hu, Zhunchen Luo, Min Zhang |
| 2025 | ACL | GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent. | Bin Xie, Rui Shao, Gongwei Chen, Kaiwen Zhou, Yinchuan Li, Jie Liu, Min Zhang, Liqiang Nie |
| 2025 | ACL | From Awareness to Adaptability: Enhancing Tool Utilization for Scientific Reasoning. | Wenjing Xie, Xiaobo Liang, Juntao Li, Wanfu Wang, Kehai Chen, Qiaoming Zhu, Min Zhang |
| 2025 | ACL | ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development. | Zhenran Xu, Xue Yang, Yiyu Wang, Qingli Hu, Zijiao Wu, Longyue Wang, Weihua Luo, Kaifu Zhang, Baotian Hu, Min Zhang |
| 2025 | ACL | Memory-augmented Query Reconstruction for LLM-based Knowledge Graph Reasoning. | Mufan Xu, Gewen Liang, Kehai Chen, Wei Wang, Xun Zhou, Muyun Yang, Tiejun Zhao, Min Zhang |
| 2025 | ACL | Revealing and Mitigating the Local Pattern Shortcuts of Mamba. | Wangjie You, Zecheng Tang, Juntao Li, Lili Yao, Min Zhang |
| 2025 | ACL | FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation. | Zhuocheng Zhang, Yang Feng, Min Zhang |
| 2025 | ACL | Towards Text-Image Interleaved Retrieval. | Xin Zhang, Ziqi Dai, Yongqi Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Jun Yu, Wenjie Li, Min Zhang |
| 2025 | ACL | Unlocking Recursive Thinking of LLMs: Alignment via Refinement. | Haoke Zhang, Xiaobo Liang, Cunxiang Wang, Juntao Li, Min Zhang |
| 2025 | ACL | Speed Up Your Code: Progressive Code Acceleration Through Bidirectional Tree Editing. | Longhui Zhang, Jiahao Wang, Meishan Zhang, GaoXiong Cao, Ensheng Shi, Mayuchi Mayuchi, Jun Yu, Honghai Liu, Jing Li, Min Zhang |
| 2025 | ACL | PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models. | Jiaqi Zhao, Miao Zhang, Ming Wang, Yuzhang Shang, Kaihao Zhang, Weili Guan, Yaowei Wang, Min Zhang |
| 2025 | ACL | Reflection on Knowledge Graph for Large Language Models Reasoning. | Yigeng Zhou, Wu Li, Yifan Lu, Jing Li, Fangming Liu, Meishan Zhang, Yequan Wang, Daojing He, Honghai Liu, Min Zhang |
| 2025 | ACL | Basic Reading Distillation. | Zhi Zhou, Sirui Miao, Xiangyu Duan, Hao Yang, Min Zhang |
| 2025 | ACL | ALW: Adaptive Layer-Wise contrastive decoding enhancing reasoning ability in Large Language Models. | Yuechi Zhou, Chuyue Zhou, Jianxin Zhang, Juntao Li, Min Zhang |
| 2025 | ACL | Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning. | Yingjie Zhu, Xuefeng Bai, Kehai Chen, Yang Xiang, Jun Yu, Min Zhang |
| 2025 | ACL | InImageTrans: Multimodal LLM-based Text Image Machine Translation. | Fei Zuo, Kehai Chen, Yu Zhang, Zhengshan Xue, Min Zhang |
| 2025 | CCS | Panther: Private Approximate Nearest Neighbor Search in the Single Server Setting. | Jingyu Li, Zhicong Huang, Min Zhang, Cheng Hong, Jian Liu, Tao Wei, Wenguang Chen |
| 2025 | CHI | Labeling Synthetic Content: User Perceptions of Label Designs for AI-Generated Content on Social Media. | Dilrukshi Gamage, Dilki Sewwandi, Min Zhang, Arosha K. Bandara |
| 2025 | CHIIR | NeuroPhysIIR: International Workshop on NeuroPhysiological Approaches for Interactive Information Retrieval. | Jacek Gwizdka, Javed Mostafa, Min Zhang, Kaixin Ji, Yashar Moshfeghi, Tuukka Ruotsalo, Damiano Spina |
| 2025 | CIKM | StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning. | Yuanqing Yu, Zhefan Wang, Weizhi Ma, Shuai Wang, Chuhan Wu, Zhiqiang Guo, Min Zhang |
| 2025 | COLING | FIPO: Free-form Instruction-oriented Prompt Optimization with Preference Dataset and Modular Fine-tuning Schema. | Junru Lu, Siyu An, Min Zhang, Yulan He, Di Yin, Xing Sun |
| 2025 | COLING | HW-TSC at Multilingual Counterspeech Generation. | Xinglin Lyu, Haolin Wang, Min Zhang, Hao Yang |
| 2025 | COLING | Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore. | Junchao Wu, Runzhe Zhan, Derek F. Wong, Shu Yang, Xuebo Liu, Lidia S. Chao, Min Zhang |
| 2025 | COLING | A Survey of Generative Information Extraction. | Zikang Zhang, Wangjie You, Tianci Wu, Xinrui Wang, Juntao Li, Min Zhang |
| 2025 | COLING | ZigZagKV: Dynamic KV Cache Compression for Long-context Modeling based on Layer Uncertainty. | Meizhi Zhong, Xikai Liu, Chen Zhang, Yikun Lei, Yan Gao, Yao Hu, Kehai Chen, Min Zhang |
| 2025 | COLING | Understanding the RoPE Extensions of Long-Context LLMs: An Attention Perspective. | Meizhi Zhong, Chen Zhang, Yikun Lei, Xikai Liu, Yan Gao, Yao Hu, Kehai Chen, Min Zhang |
| 2025 | CVPR | InPO: Inversion Preference Optimization with Reparametrized DDIM for Efficient Diffusion Model Alignment. | Yunhong Lu, Qichao Wang, Hengyuan Cao, Xierui Wang, Xiaoyin Xu, Min Zhang |
| 2025 | CVPR | Bridging Modalities: Improving Universal Multimodal Retrieval by Multimodal Large Language Models. | Xin Zhang, Yanzhao Zhang, Wen Xie, Mingxin Li, Ziqi Dai, Dingkun Long, Pengjun Xie, Meishan Zhang, Wenjie Li, Min Zhang |
| 2025 | DASFAA | DlGR-KB: Dual-Level Graph Reasoning with Key Block Decoupling for Multi-party Dialogue Reading Comprehension. | Rui Cao, Xiabing Zhou, Min Zhang, Guodong Zhou |
| 2025 | EMNLP | Benchmarking LLMs for Translating Classical Chinese Poetry: Evaluating Adequacy, Fluency, and Elegance. | Andong Chen, Lianzhang Lou, Kehai Chen, Xuefeng Bai, Yang Xiang, Muyun Yang, Tiejun Zhao, Min Zhang |
| 2025 | EMNLP | An Evaluation Resource for Grounding Translation Errors. | Sujin Chen, Kang Wang, Zixuan Zhou, Xiangyu Duan, Wanqun Zhang, Hao Yang, Jinsong Su, Min Zhang |
| 2025 | EMNLP | ORPP: Self-Optimizing Role-playing Prompts to Enhance Language Model Capabilities. | Yifan Duan, Yihong Tang, Kehai Chen, Liqiang Nie, Min Zhang |
| 2025 | EMNLP | Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors. | Hao Fang, Jiawei Kong, Tianqu Zhuang, Yixiang Qiu, Kuofeng Gao, Bin Chen, Shu-Tao Xia, Yaowei Wang, Min Zhang |
| 2025 | EMNLP | MMA: Cross-Domain Knowledge Integration via Mixture of Multi-Domain Agents. | Kehang Jia, Juntao Li, Xiaobo Liang, Yisheng Xiao, Yixuan Yang, Min Zhang |
| 2025 | EMNLP | AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs. | Xiaopeng Ke, Hexuan Deng, Xuebo Liu, Jun Rao, Zhenxi Song, Jun Yu, Min Zhang |
| 2025 | EMNLP | Generator-Assistant Stepwise Rollback Framework for Large Language Model Agent. | Xingzuo Li, Kehai Chen, Yunfei Long, Xuefeng Bai, Yong Xu, Min Zhang |
| 2025 | EMNLP | CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task. | Haosi Mo, Xinyu Ma, Xuebo Liu, Derek F. Wong, Yu Li, Jie Liu, Min Zhang |
| 2025 | EMNLP | SeaPO: Strategic Error Amplification for Robust Preference Optimization of Large Language Models. | Jun Rao, Yunjie Liao, Xuebo Liu, Zepeng Lin, Lian Lian, Dong Jin, Shengjun Cheng, Jun Yu, Min Zhang |
| 2025 | EMNLP | Enhancing Speech Large Language Models with Prompt-Aware Mixture of Audio Encoders. | Weiqiao Shan, Yuang Li, Yuhao Zhang, Yingfeng Luo, Chen Xu, Xiaofeng Zhao, Long Meng, Yunfei Lu, Min Zhang, Hao Yang, Tong Xiao, JingBo Zhu |
| 2025 | EMNLP | Augmenting Multi-Agent Communication with State Delta Trajectory. | Yichen Tang, Weihang Su, Yujia Zhou, Yiqun Liu, Min Zhang, Shaoping Ma, Qingyao Ai |
| 2025 | EMNLP | AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration. | Chunhao Tian, Yutong Wang, Xuebo Liu, Zhexuan Wang, Liang Ding, Miao Zhang, Min Zhang |
| 2025 | EMNLP | How Far Can LLMs Improve from Experience? Measuring Test-Time Learning Ability in LLMs with Human Comparison. | Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Min Zhang |
| 2025 | EMNLP | Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification. | Jikai Wang, Zhenxu Tian, Juntao Li, Qingrong Xia, Xinyu Duan, Zhe-Feng Wang, Baoxing Huai, Min Zhang |
| 2025 | EMNLP | Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization. | Jiulong Wu, Zhengliang Shi, Shuaiqiang Wang, Jizhou Huang, Dawei Yin, Lingyong Yan, Min Cao, Min Zhang |
| 2025 | EMNLP | When Words Smile: Generating Diverse Emotional Facial Expressions from Text. | Haidong Xu, Meishan Zhang, Hao Ju, Zhedong Zheng, Erik Cambria, Min Zhang, Hao Fei |
| 2025 | EMNLP | DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs. | Xiabin Zhou, Wenbin Wang, Minyan Zeng, Jiaxian Guo, Xuebo Liu, Li Shen, Min Zhang, Liang Ding |
| 2025 | ESORICS | Privacy-Preserving k-Nearest Neighbor Query: Faster and More Secure. | Jialin Chi, Cheng Hong, Axin Wu, Tianqi Sun, ZheChen Li, Min Zhang, Dengguo Feng |
| 2025 | ESORICS | Email Cloaking: Deceiving Users and Spam Email Detectors with Invisible HTML Settings. | Bingyang Guo, Mingxuan Liu, Yihui Ma, Ruixuan Li, Fan Shi, Min Zhang, Baojun Liu, Chengxi Xu, Haixin Duan, Geng Hong, Min Yang, Qingfeng Pan |
| 2025 | ICA3PP | HRE-Store: A Hierarchical and Scalable Storage Architecture for Permissioned Blockchains. | Yang Liu, XiangYu Cui, FangChao Tian, Feng Wang, Han Li, Min Zhang |
| 2025 | ICANN | DeepCTL: Neural Branching-Time CTL Satisfiability Checking via Recursive Decision Trees. | Bingchang Yuan, Zhaohui Wang, Lingfeng Zhang, Jingran Yang, Bojie Shao, Min Zhang |
| 2025 | ICASSP | Investigating Numerical Translation with Large Language Models. | Wei Tang, Jiawei Yu, Yuang Li, Yanqing Zhao, Weidong Zhang, Wei Feng, Min Zhang, Hao Yang |
| 2025 | ICASSP | Large Language Model Should Understand Pinyin for Chinese ASR Error Correction. | Yuang Li, Xiaosong Qiao, Xiaofeng Zhao, Huan Zhao, Wei Tang, Min Zhang, Hao Yang |
| 2025 | ICASSP | SSVEP-BiMA: Bifocal Masking Attention Leveraging Native and Symmetric-Antisymmetric Components for Robust SSVEP Decoding. | Yuxin Liu, Zhenxi Song, Guoyang Xu, Zirui Wang, Feng Wan, Yong Hu, Min Zhang, Zhiguo Zhang |
| 2025 | ICASSP | Optimizing Speech Multi-View Feature Fusion through Conditional Computation. | Weiqiao Shan, Yuhao Zhang, Yuchen Han, Bei Li, Xiaofeng Zhao, Yuang Li, Min Zhang, Hao Yang, Tong Xiao, Jingbo Zhu |
| 2025 | ICASSP | EEG-ReMinD: Enhancing Neurodegenerative EEG Decoding through Self-Supervised State Reconstruction-Primed Riemannian Dynamics. | Zirui Wang, Zhenxi Song, Yi Guo, Yuxin Liu, Guoyang Xu, Min Zhang, Zhiguo Zhang |
| 2025 | ICASSP | "I've Heard of You!": Generate Spoken Named Entity Recognition Data for Unseen Entities. | Jiawei Yu, Xiang Geng, Yuang Li, Mengxin Ren, Wei Tang, Jiahuan Li, Zhibin Lan, Min Zhang, Hao Yang, Shujian Huang, Jinsong Su |
| 2025 | ICASSP | Complex Open Information Extraction with Heterogeneous Syntax Forests. | Meishan Zhang, Peiming Guo, Hao Fei, Min Zhang |
| 2025 | ICCV | Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning. | Jun Li, Jinpeng Wang, Chaolei Tan, Niu Lian, Long Chen, Yaowei Wang, Min Zhang, Shu-Tao Xia, Bin Chen |
| 2025 | ICLR | IDInit: A Universal and Stable Initialization Method for Neural Network Training. | Yu Pan, Chaozheng Wang, Zekai Wu, Qifan Wang, Min Zhang, Zenglin Xu |
| 2025 | ICLR | Beware of Calibration Data for Pruning Large Language Models. | Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Ping Li, Xinyu Duan, Zhefeng Wang, Min Zhang |
| 2025 | ICLR | ProtPainter: Draw or Drag Protein via Topology-guided Diffusion. | Zhengxi Lu, Shizhuo Cheng, Tintin Jiang, Yan Zhang, Min Zhang |
| 2025 | ICLR | Revealing and Mitigating Over-Attention in Knowledge Editing. | Pinzheng Wang, Zecheng Tang, Keyan Zhou, Juntao Li, Qiaoming Zhu, Min Zhang |
| 2025 | ICLR | DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory. | Yutong Wang, Jiali Zeng, Xuebo Liu, Derek F. Wong, Fandong Meng, Jie Zhou, Min Zhang |
| 2025 | ICLR | VLAS: Vision-Language-Action Model with Speech Instructions for Customized Robot Manipulation. | Wei Zhao, Pengxiang Ding, Min Zhang, Zhefei Gong, Shuanghao Bai, Han Zhao, Donglin Wang |
| 2025 | ICLR | REMEDY: Recipe Merging Dynamics in Large Vision-Language Models. | Didi Zhu, Yibing Song, Tao Shen, Ziyu Zhao, Jinluan Yang, Min Zhang, Chao Wu |
| 2025 | ICML | Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models. | Mingjia Li, Hong Qian, Tian-Zuo Wang, Shujun Li, Min Zhang, Aimin Zhou |
| 2025 | ICML | ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models. | Xinpeng Dong, Min Zhang, Didi Zhu, Ye Jun Jian, Keli Zhang, Aimin Zhou, Fei Wu, Kun Kuang |
| 2025 | ICML | Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge. | Hanglei Hu, Yingying Guo, Zhikang Chen, Sen Cui, Fei Wu, Kun Kuang, Min Zhang, Bo Jiang |
| 2025 | ICML | Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences. | Yunhong Lu, Qichao Wang, Hengyuan Cao, Xiaoyin Xu, Min Zhang |
| 2025 | ICML | Overcoming Non-monotonicity in Transducer-based Streaming Generation. | Zhengrui Ma, Yang Feng, Min Zhang |
| 2025 | ICML | LOGO - Long cOntext aliGnment via efficient preference Optimization. | Zecheng Tang, Zechen Sun, Juntao Li, Qiaoming Zhu, Min Zhang |
| 2025 | ICML | Improving Rationality in the Reasoning Process of Language Models through Self-playing Game. | Pinzheng Wang, Juntao Li, Zecheng Tang, Haijia Gui, Min Zhang |
| 2025 | ICML | CALM: Consensus-Aware Localized Merging for Multi-Task Learning. | Kunda Yan, Min Zhang, Sen Cui, Zikun Qu, Bo Jiang, Feng Liu, Changshui Zhang |
| 2025 | ICML | Function-to-Style Guidance of LLMs for Code Translation. | Longhui Zhang, Bin Wang, Jiahao Wang, Xiaofeng Zhao, Min Zhang, Hao Yang, Meishan Zhang, Yu Li, Jing Li, Jun Yu, Min Zhang |
| 2025 | IJCAI | A Survey on the Feedback Mechanism of LLM-based AI Agents. | Zhipeng Liu, Xuefeng Bai, Kehai Chen, Xinyang Chen, Xiucheng Li, Yang Xiang, Jin Liu, Hong-Dong Li, Yaowei Wang, Liqiang Nie, Min Zhang |
| 2025 | IJCNN | Learning From Each Other: Exploring A Novel Mutual Learning Paradigm for Enhancing Code Generation Performance. | Xin Ju, Ye Zhang, Xiabing Zhou, Min Zhang |
| 2025 | IJCNN | Deep Reinforcement Learning for Autonomous Driving with Multiple Expert Demonstrations. | Chenghao Wang, Miaodi Li, Muxiang Zhang, Min Zhang |
| 2025 | INLG | Taming the Titans: A Survey of Efficient LLM Inference Serving. | Ranran Zhen, Juntao Li, Yixin Ji, Zhenlin Yang, Tong Liu, Qingrong Xia, Xinyu Duan, Zhefeng Wang, Baoxing Huai, Min Zhang |
| 2025 | ICSE | SolSearch: An LLM-Driven Framework for Efficient SAT-Solving Code Generation. | Junjie Sheng, Yanqiu Lin, Jiehao Wu, Yanhong Huang, Jianqi Shi, Min Zhang, Xiangfeng Wang |
| 2025 | ICSE | Insvdf: Interface-State-Aware Virtual Device Fuzzing. | Zexiang Zhang, Gaoning Pan, Ruipeng Wang, Yiming Tao, Zulie Pan, Cheng Tu, Min Zhang, Yang Li, Yi Shen, Chunming Wu |
| 2025 | ICSE | HIFI: Explaining and Mitigating Algorithmic Bias Through the Lens of Game-Theoretic Interactions. | Lingfeng Zhang, Zhaohui Wang, Yueling Zhang, Min Zhang, Jiangtao Wang |
| 2025 | KDD | Improving Long-tail User CTR Prediction via Hierarchical Distribution Alignment. | Yifan Wang, Weizhi Ma, Min Zhang, Xiaoxiao Xu, Zhiqiang Liu, Shaoping Ma |
| 2025 | KDD | A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation with Unmeasured Confounding. | Chuan Zhou, Yaxuan Li, Chunyuan Zheng, Haiteng Zhang, Min Zhang, Haoxuan Li, Mingming Gong |
| 2025 | NAACL | MeKB-Sim: Personal Knowledge Base-Powered Multi-Agent Simulation. | Zhenran Xu, Jifang Wang, Baotian Hu, Longyue Wang, Min Zhang |
| 2025 | NAACL | MoDification: Mixture of Depths Made Easy. | Chen Zhang, Meizhi Zhong, Qimeng Wang, Xuantao Lu, Zheyu Ye, Chengqiang Lu, Yan Gao, Yao Hu, Kehai Chen, Min Zhang, Dawei Song |
| 2025 | NAACL | FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG. | Xinping Zhao, Yan Zhong, Zetian Sun, Xinshuo Hu, Zhenyu Liu, Dongfang Li, Baotian Hu, Min Zhang |
| 2025 | NDSS | Revisiting EM-based Estimation for Locally Differentially Private Protocols. | Yutong Ye, Tianhao Wang, Min Zhang, Dengguo Feng |
| 2025 | PRICAI | Balancing Fairness and Performance Under Multiple Sensitive Attributes. | Muxiang Zhang, Yifan Di, Min Zhang |
| 2025 | RE | Constructing Cross-Level Traceability Links in the Automotive Domain: A Case Study. | Wei Xie, Yi Zhao, Min Zhang, Yinghua Huang |
| 2025 | RE | Requirements Dependency Driven Test Case Generation: An Automotive Industry Practice. | Tong Xu, Zheng Zhou, Xiaohong Chen, Zhiyi Xue, Yi Zhao, Min Zhang, Zhi Jin |
| 2025 | VTC | MAHs: Multi-Adaptation Hubs for Online Learning in Large Network Models. | Liexiang Yue, Min Zhang, Qingbi Zheng, Na Li, Guangyi Liu |
| 2025 | VTC | Kano Model for Enhanced Satisfaction in User-Centric EV Charging and P2P Energy Trading. | Min Zhang, Yushuai Li, Tianyi Li, Torben Bach Pedersen, Kim Guldstrand Larsen, Christian S. Jensen |
| 2025 | WWW | Explainable Multi-Modality Alignment for Transferable Recommendation. | Shenghao Yang, Weizhi Ma, Zhiqiang Guo, Min Zhang, Haiyang Wu, Junjie Zhai, Chunhui Zhang, Yuekui Yang |
| 2025 | WWW | PerSRV: Personalized Sticker Retrieval with Vision-Language Model. | Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Min Zhang |
| 2025 | WWW | Beyond Utility: Evaluating LLM as Recommender. | Chumeng Jiang, Jiayin Wang, Weizhi Ma, Charles L. A. Clarke, Shuai Wang, Chuhan Wu, Min Zhang |
| 2025 | WWW | Intelligent Agents with Adaptive Knowledge Fusion for Personalized Recommendation. | Yuanqing Yu, Zhefan Wang, Chumeng Jiang, Xinyi Li, Jiayin Wang, Min Zhang |
| 2025 | SIGIR | U-Sticker: A Large-Scale Multi-Domain User Sticker Dataset for Retrieval and Personalization. | Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Qinglang Guo, Min Zhang |
| 2025 | SIGIR | Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation. | Zhiyu He, Zhixin Ling, Jiayu Li, Zhiqiang Guo, Weizhi Ma, Xinchen Luo, Min Zhang, Guorui Zhou |
| 2025 | SIGIR | CD-CDR: Conditional Diffusion-based Item Generation for Cross-Domain Recommendation. | Hanyu Li, Jiayu Li, Weizhi Ma, Peijie Sun, Haiyang Wu, Jingwen Wang, Yuekui Yang, Min Zhang, Shaoping Ma |
| 2025 | SIGIR | Negative Exclusion Filtering: Optimizing Ad Delivery Efficiency for Large-Scale Social Media Platforms. | Min Zhang, Ganlin Song, Fang Zhou, Dong Liang, Jianwei Xiao, Shengyu Huang, Lizhang Qin, Xi Yan, Rong Shi, Xiyuan Chen, Jing Xu, Zhaojun Zhang, Ye Wang, Gautam Srinivasan, Yang Wang, Qianru Li, Mahesh Masale, Zhengyu Zhang, Zeliang Chen, Ellie Wen, Puneet Sharma |
| 2025 | SIGIR | UPPR+: Scaling Uncertain Personalised PageRank Computation on Billion-Sized Graphs with Mutually Exclusive Edges. | Min Zhang, Weiren Yu |
| 2025 | TrustCom | Safety-Aware DRL Training Based on Reachability Analysis. | Yixuan Yang, Min Zhang |
| 2025 | UAI | Fast Calculation of Feature Contributions in Boosting Trees. | Zhongli Jiang, Min Zhang, Dabao Zhang |
| 2025 | SiggraphA | AniMaker: Multi-Agent Animated Storytelling with MCTS-Driven Clip Generation. | Haoyuan Shi, Yunxin Li, Xinyu Chen, Longyue Wang, Baotian Hu, Min Zhang |
| 2025 | SRDS | Fusing Multimodal Binary Code Representations for Enhanced Similarity Detection. | Taiyan Wang, Ruipeng Wang, Yu Chen, Lu Yu, Zulie Pan, Min Zhang |
| 2025 | TASE | Safeguarding Neural Network-Controlled Systems via Formal Methods: From Safety-by-Design to Runtime Assurance (Invited Talk). | Min Zhang |
| 2025 | VMCAI | Formal Verification of Probabilistic Deep Reinforcement Learning Policies with Abstract Training. | Junfeng Yang, Min Zhang, Xin Chen, Qin Li |
| 2024 | AAAI | Learning to Reweight for Generalizable Graph Neural Network. | Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu |
| 2024 | AAAI | Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation. | Shuanghao Bai, Min Zhang, Wanqi Zhou, Siteng Huang, Zhirong Luan, Donglin Wang, Badong Chen |
| 2024 | AAAI | An Empirical Study of CLIP for Text-Based Person Search. | Min Cao, Yang Bai, Ziyin Zeng, Mang Ye, Min Zhang |
| 2024 | AAAI | Expressive Forecasting of 3D Whole-Body Human Motions. | Pengxiang Ding, Qiongjie Cui, Haofan Wang, Min Zhang, Mengyuan Liu, Donglin Wang |
| 2024 | AAAI | Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation. | Xinshuo Hu, Dongfang Li, Baotian Hu, Zihao Zheng, Zhenyu Liu, Min Zhang |
| 2024 | AAAI | Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales. | Dapeng Zhi, Peixin Wang, Cheng Chen, Min Zhang |
| 2024 | ACL | XNLP: An Interactive Demonstration System for Universal Structured NLP. | Hao Fei, Meishan Zhang, Min Zhang, Tat-Seng Chua |
| 2024 | ACL | DB-LLM: Accurate Dual-Binarization for Efficient LLMs. | Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao |
| 2024 | ACL | DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms. | Andong Chen, Lianzhang Lou, Kehai Chen, Xuefeng Bai, Yang Xiang, Muyun Yang, Tiejun Zhao, Min Zhang |
| 2024 | ACL | Temporal Knowledge Question Answering via Abstract Reasoning Induction. | Ziyang Chen, Dongfang Li, Xiang Zhao, Baotian Hu, Min Zhang |
| 2024 | ACL | Semantic Role Labeling from Chinese Speech via End-to-End Learning. | Huiyao Chen, Xinxin Li, Meishan Zhang, Min Zhang |
| 2024 | ACL | Rethinking Negative Instances for Generative Named Entity Recognition. | Yuyang Ding, Juntao Li, Pinzheng Wang, Zecheng Tang, Yan Bowen, Min Zhang |
| 2024 | ACL | CTC-based Non-autoregressive Textless Speech-to-Speech Translation. | Qingkai Fang, Zhengrui Ma, Yan Zhou, Min Zhang, Yang Feng |
| 2024 | ACL | Can We Achieve High-quality Direct Speech-to-Speech Translation without Parallel Speech Data? | Qingkai Fang, Shaolei Zhang, Zhengrui Ma, Min Zhang, Yang Feng |
| 2024 | ACL | Efficient k-Nearest-Neighbor Machine Translation with Dynamic Retrieval. | Yan Gao, Zhiwei Cao, Zhongjian Miao, Baosong Yang, Shiyu Liu, Min Zhang, Jinsong Su |
| 2024 | ACL | Unsupervised Sign Language Translation and Generation. | Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang |
| 2024 | ACL | Exploring Reversal Mathematical Reasoning Ability for Large Language Models. | Pei Guo, Wangjie You, Juntao Li, Bowen Yan, Min Zhang |
| 2024 | ACL | Chinese Spelling Corrector Is Just a Language Learner. | Lai Jiang, Hongqiu Wu, Hai Zhao, Min Zhang |
| 2024 | ACL | Translatotron-V(ison): An End-to-End Model for In-Image Machine Translation. | Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Min Zhang, Jinsong Su |
| 2024 | ACL | Multimodal Reasoning with Multimodal Knowledge Graph. | Junlin Lee, Yequan Wang, Jing Li, Min Zhang |
| 2024 | ACL | Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment. | Yunxin Li, Xinyu Chen, Baotian Hu, Haoyuan Shi, Min Zhang |
| 2024 | ACL | Improving Attributed Text Generation of Large Language Models via Preference Learning. | Dongfang Li, Zetian Sun, Baotian Hu, Zhenyu Liu, Xinshuo Hu, Xuebo Liu, Min Zhang |
| 2024 | ACL | Towards Demonstration-Aware Large Language Models for Machine Translation. | Chen Li, Meishan Zhang, Xuebo Liu, Zhaocong Li, Derek F. Wong, Min Zhang |
| 2024 | ACL | A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Any Translation. | Zhengrui Ma, Qingkai Fang, Shaolei Zhang, Shoutao Guo, Yang Feng, Min Zhang |
| 2024 | ACL | Revisiting Demonstration Selection Strategies in In-Context Learning. | Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao |
| 2024 | ACL | Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning? | Zhaochen Su, Juntao Li, Jun Zhang, Tong Zhu, Xiaoye Qu, Pan Zhou, Yan Bowen, Yu Cheng, Min Zhang |
| 2024 | ACL | Demonstration Augmentation for Zero-shot In-context Learning. | Yi Su, Yunpeng Tai, Yixin Ji, Juntao Li, Yan Bowen, Min Zhang |
| 2024 | ACL | Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation. | Zhexuan Wang, Shudong Liu, Xuebo Liu, Miao Zhang, Derek F. Wong, Min Zhang |
| 2024 | ACL | Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder. | Jiaqi Wang, Zhenxi Song, Zhengyu Ma, Xipeng Qiu, Min Zhang, Zhiguo Zhang |
| 2024 | ACL | TasTe: Teaching Large Language Models to Translate through Self-Reflection. | Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang |
| 2024 | ACL | From Role-Play to Drama-Interaction: An LLM Solution. | Weiqi Wu, Hongqiu Wu, Lai Jiang, Xingyuan Liu, Hai Zhao, Min Zhang |
| 2024 | ACL | Concise and Precise Context Compression for Tool-Using Language Models. | Yang Xu, Yunlong Feng, Honglin Mu, Yutai Hou, Yitong Li, Xinghao Wang, Wanjun Zhong, Zhongyang Li, Dandan Tu, Qingfu Zhu, Min Zhang, Wanxiang Che |
| 2024 | ACL | Efficient Domain Adaptation for Non-Autoregressive Machine Translation. | Wangjie You, Pei Guo, Juntao Li, Kehai Chen, Min Zhang |
| 2024 | ACL | Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation. | Tengfei Yu, Xuebo Liu, Liang Ding, Kehai Chen, Dacheng Tao, Min Zhang |
| 2024 | ACL | Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction. | Meishan Zhang, Hao Fei, Bin Wang, Shengqiong Wu, Yixin Cao, Fei Li, Min Zhang |
| 2024 | ACL | Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model. | Hongbin Zhang, Kehai Chen, Xuefeng Bai, Yang Xiang, Min Zhang |
| 2024 | ACL | StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning. | Shaolei Zhang, Qingkai Fang, Shoutao Guo, Zhengrui Ma, Min Zhang, Yang Feng |
| 2024 | ACL | Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection. | Min Zhang, Jianfeng He, Taoran Ji, Chang-Tien Lu |
| 2024 | ACL | A Two-Stage Adaptation of Large Language Models for Text Ranking. | Longhui Zhang, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang |
| 2024 | ACL | On the Hallucination in Simultaneous Machine Translation. | Meizhi Zhong, Kehai Chen, Zhengshan Xue, Lemao Liu, Mingming Yang, Min Zhang |
| 2024 | ACL | Context Consistency between Training and Inference in Simultaneous Machine Translation. | Meizhi Zhong, Lemao Liu, Kehai Chen, Mingming Yang, Min Zhang |
| 2024 | ACL | Chinese Spoken Named Entity Recognition in Real-world Scenarios: Dataset and Approaches. | Shilin Zhou, Zhenghua Li, Chen Gong, Lei Zhang, Yu Hong, Min Zhang |
| 2024 | ACL | CopyNE: Better Contextual ASR by Copying Named Entities. | Shilin Zhou, Zhenghua Li, Yu Hong, Min Zhang, Zhefeng Wang, Baoxing Huai |
| 2024 | ACML | When and How to Grow? On Efficient Pre-training via Model Growth. | Jikai Wang, Juntao Li, Min Zhang, Zechang Li, Qingrong Xia, Xinyu Duan, Zhefeng Wang, Baoxing Huai |
| 2024 | CAV | Marabou 2.0: A Versatile Formal Analyzer of Neural Networks. | Haoze Wu, Omri Isac, Aleksandar Zeljic, Teruhiro Tagomori, Matthew L. Daggitt, Wen Kokke, Idan Refaeli, Guy Amir, Kyle Julian, Shahaf Bassan, Pei Huang, Ori Lahav, Min Wu, Min Zhang, Ekaterina Komendantskaya, Guy Katz, Clark W. Barrett |
| 2024 | CAV | Unifying Qualitative and Quantitative Safety Verification of DNN-Controlled Systems. | Dapeng Zhi, Peixin Wang, Si Liu, C.-H. Luke Ong, Min Zhang |
| 2024 | CCS | SeqMIA: Sequential-Metric Based Membership Inference Attack. | Hao Li, Zheng Li, Siyuan Wu, Chengrui Hu, Yutong Ye, Min Zhang, Dengguo Feng, Yang Zhang |
| 2024 | CHI | How Do People Use a Public Gratitude Platform in the Wild? | Min Zhang, Carlos Arce-Plata, Blaine A. Price, Graham Pike, Zoe Walkington, Camilla Elphick, Lara Frumkin, Richard Philpot, Tina F. Keil, Mark Levine, Avelie Stuart, Bashar Nuseibeh, Arosha K. Bandara |
| 2024 | CHI | Understanding Pedestrians' Perception of Safety and Safe Mobility Practices. | Min Zhang, Arosha K. Bandara |
| 2024 | CHIIR | SiTunes: A Situational Music Recommendation Dataset with Physiological and Psychological Signals. | Vadim Grigorev, Jiayu Li, Weizhi Ma, Zhiyu He, Min Zhang, Yiqun Liu, Ming Yan, Ji Zhang |
| 2024 | COLING | Multimodal Cross-lingual Phrase Retrieval. | Chuanqi Dong, Wenjie Zhou, Xiangyu Duan, Yuqi Zhang, Min Zhang |
| 2024 | COLING | Improving Chinese Named Entity Recognition with Multi-grained Words and Part-of-Speech Tags via Joint Modeling. | Chenhui Dou, Chen Gong, Zhenghua Li, Zhefeng Wang, Baoxing Huai, Min Zhang |
| 2024 | COLING | Submodular-based In-context Example Selection for LLMs-based Machine Translation. | Baijun Ji, Xiangyu Duan, Zhenyu Qiu, Tong Zhang, Junhui Li, Hao Yang, Min Zhang |
| 2024 | COLING | A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation. | Yunxin Li, Baotian Hu, Wenhan Luo, Lin Ma, Yuxin Ding, Min Zhang |
| 2024 | COLING | CB-Whisper: Contextual Biasing Whisper Using Open-Vocabulary Keyword-Spotting. | Yuang Li, Yinglu Li, Min Zhang, Chang Su, Jiawei Yu, Mengyao Piao, Xiaosong Qiao, Miaomiao Ma, Yanqing Zhao, Hao Yang |
| 2024 | COLING | 3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. | Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang |
| 2024 | COLING | Generative Multimodal Entity Linking. | Senbao Shi, Zhenran Xu, Baotian Hu, Min Zhang |
| 2024 | COLING | Exploring and Mitigating Shortcut Learning for Generative Large Language Models. | Zechen Sun, Yisheng Xiao, Juntao Li, Yixin Ji, Wenliang Chen, Min Zhang |
| 2024 | COLING | Towards More Realistic Chinese Spell Checking with New Benchmark and Specialized Expert Model. | Yue Wang, Zilong Zheng, Juntao Li, Zhihui Liu, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Min Zhang |
| 2024 | COLING | Chinese Sequence Labeling with Semi-Supervised Boundary-Aware Language Model Pre-training. | Longhui Zhang, Dingkun Long, Meishan Zhang, Yanzhao Zhang, Pengjun Xie, Min Zhang |
| 2024 | CVPR | Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning. | Siteng Huang, Biao Gong, Yutong Feng, Min Zhang, Yiliang Lv, Donglin Wang |
| 2024 | DASFAA | A Situation-aware Enhancer for Personalized Recommendation. | Jiayu Li, Peijie Sun, Chumeng Jiang, Weizhi Ma, Qingyao Ai, Min Zhang |
| 2024 | DASFAA | To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models. | Zhefan Wang, Weizhi Ma, Min Zhang |
| 2024 | DASFAA | Common Sense Enhanced Knowledge-based Recommendation with Large Language Model. | Shenghao Yang, Weizhi Ma, Peijie Sun, Min Zhang, Qingyao Ai, Yiqun Liu, Mingchen Cai |
| 2024 | ECAI | Improving Aspect-Based Sentiment Analysis via Tuple-Order Learning. | Gongzhen Hu, Yuanjun Liu, Xiabing Zhou, Min Zhang |
| 2024 | ECAI | Making Fair Classification via Correlation Alignment. | Jingran Yang, Lingfeng Zhang, Min Zhang |
| 2024 | ECCV | QUAR-VLA: Vision-Language-Action Model for Quadruped Robots. | Pengxiang Ding, Han Zhao, Wenjie Zhang, Wenxuan Song, Min Zhang, Siteng Huang, Ningxi Yang, Donglin Wang |
| 2024 | ECCV | PiTe: Pixel-Temporal Alignment for Large Video-Language Model. | Yang Liu, Pengxiang Ding, Siteng Huang, Min Zhang, Han Zhao, Donglin Wang |
| 2024 | ECCV | GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning. | Xiaojie Li, Yibo Yang, Xiangtai Li, Jianlong Wu, Yue Yu, Bernard Ghanem, Min Zhang |
| 2024 | EMNLP | A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language Models. | Houquan Zhou, Zhenghua Li, Bo Zhang, Chen Li, Shaopeng Lai, Ji Zhang, Fei Huang, Min Zhang |
| 2024 | EMNLP | TruthReader: Towards Trustworthy Document Assistant Chatbot with Reliable Attribution. | Dongfang Li, Xinshuo Hu, Zetian Sun, Baotian Hu, Shaolin Ye, Zifei Shan, Qian Chen, Min Zhang |
| 2024 | EMNLP | Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner. | Shudong Liu, Zhaocong Li, Xuebo Liu, Runzhe Zhan, Derek F. Wong, Lidia S. Chao, Min Zhang |
| 2024 | EMNLP | Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering. | Yu Zhang, Kehai Chen, Xuefeng Bai, Zhao Kang, Quanjiang Guo, Min Zhang |
| 2024 | EMNLP | Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering. | Yixin Ji, Kaixin Wu, Juntao Li, Wei Chen, Mingjie Zhong, Jia Xu, Min Zhang |
| 2024 | EMNLP | Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization. | Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Zi Ye, Xinyu Duan, Zhefeng Wang, Kehai Chen, Min Zhang |
| 2024 | EMNLP | Cross-Domain Audio Deepfake Detection: Dataset and Analysis. | Yuang Li, Min Zhang, Mengxin Ren, Xiaosong Qiao, Miaomiao Ma, Daimeng Wei, Hao Yang |
| 2024 | EMNLP | Curriculum Consistency Learning for Conditional Sentence Generation. | Liangxin Liu, Xuebo Liu, Lian Lian, Shengjun Cheng, Jun Rao, Tengfei Yu, Hexuan Deng, Min Zhang |
| 2024 | EMNLP | Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment. | Zhenyu Liu, Dongfang Li, Xinshuo Hu, Xinping Zhao, Yibin Chen, Baotian Hu, Min Zhang |
| 2024 | EMNLP | DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators. | Xinglin Lyu, Junhui Li, Yanqing Zhao, Min Zhang, Daimeng Wei, Shimin Tao, Hao Yang, Min Zhang |
| 2024 | EMNLP | CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions. | Jun Rao, Xuebo Liu, Lian Lian, Shengjun Cheng, Yunjie Liao, Min Zhang |
| 2024 | EMNLP | CMD: a framework for Context-aware Model self-Detoxification. | Zecheng Tang, Keyan Zhou, Juntao Li, Yuyang Ding, Pinzheng Wang, Yan Bowen, Renjie Hua, Min Zhang |
| 2024 | EMNLP | Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models. | Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang |
| 2024 | EMNLP | A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models. | Jiayin Wang, Fengran Mo, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie |
| 2024 | EMNLP | Achieving Stronger Generation via Simple Contrastive Tuning. | Zhimeng Wang, Pinzheng Wang, Juntao Li, Yibin Chen, Min Zhang |
| 2024 | EMNLP | MultiSkill: Evaluating Large Multimodal Models for Fine-grained Alignment Skills. | Zhenran Xu, Senbao Shi, Baotian Hu, Longyue Wang, Min Zhang |
| 2024 | EMNLP | Self-Powered LLM Modality Expansion for Large Speech-Text Models. | Tengfei Yu, Xuebo Liu, Zhiyi Hou, Liang Ding, Dacheng Tao, Min Zhang |
| 2024 | EMNLP | Dynamic Planning for LLM-based Graphical User Interface Automation. | Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen, Xinbei Ma, Muyun Yang, Tiejun Zhao, Min Zhang |
| 2024 | EMNLP | mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval. | Xin Zhang, Yanzhao Zhang, Dingkun Long, Wen Xie, Ziqi Dai, Jialong Tang, Huan Lin, Baosong Yang, Pengjun Xie, Fei Huang, Meishan Zhang, Wenjie Li, Min Zhang |
| 2024 | EMNLP | SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation. | Xinping Zhao, Dongfang Li, Yan Zhong, Boren Hu, Yibin Chen, Baotian Hu, Min Zhang |
| 2024 | EMNLP | Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion. | Xinping Zhao, Jindi Yu, Zhenyu Liu, Jifang Wang, Dongfang Li, Yibin Chen, Baotian Hu, Min Zhang |
| 2024 | GLOBECOM | MSMCC: Multi-Small Model Coordination Center for Accelerating Network Intelligence. | Yuhong Huang, Liexiang Yue, Min Zhang, Qingbi Zheng, Na Li, Guangyi Liu, Qixing Wang |
| 2024 | ICASSP | Pareto Graph Self-Supervised Learning. | Zhengyu Chen, Teng Xiao, Donglin Wang, Min Zhang |