| 2026 | AAAI | From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs. | Yuxiang Guo, Yan Zhuang, Qi Liu, Zhenya Huang, Xianquan Wang, Liyang He, Jiatong Li, Rui Li, Shijin Wang |
| 2026 | AAAI | TEMPLE: Incentivizing Temporal Understanding of Video Large Language Models via Progressive Pre-SFT Alignment. | Shicheng Li, Lei Li, Kun Ouyang, Shuhuai Ren, Yuanxin Liu, Yuanxing Zhang, Fuzheng Zhang, Lingpeng Kong, Qi Liu, Xu Sun |
| 2026 | AAAI | Generic Adversarial Attack Framework Against Graph-based Vertical Federated Learning. | Yimin Liu, Peng Jiang, Qi Liu, Liehuang Zhu |
| 2026 | AAAI | Look as You Think: Unifying Reasoning and Visual Evidence Attribution for Verifiable Document RAG via Reinforcement Learning. | Shuochen Liu, Pengfei Luo, Chao Zhang, Yuhao Chen, Haotian Zhang, Qi Liu, Xin Kou, Tong Xu, Enhong Chen |
| 2026 | AAAI | Channel-masked Asymmetric Distribution Matching for Cross-Domain Generalized Dataset Distillation. | Qi Liu, Chenghao Xu, Jiexi Yan, Guangtao Lyu, Erkun Yang, Guihai Chen, Yanhua Yang |
| 2026 | AAAI | What-Meets-Where: Unified Learning of Action and Contact Localization in Images. | Yuxiao Wang, Yu Lei, Wolin Liang, Weiying Xue, Zhenao Wei, Nan Zhuang, Qi Liu |
| 2026 | AAAI | QueryCraft: Transformer-Guided Query Initialization for Enhanced Human-Object Interaction Detection. | Yuxiao Wang, Wolin Liang, Yu Lei, Weiying Xue, Nan Zhuang, Qi Liu |
| 2026 | AAAI | DMGIN: How Multimodal LLMs Enhance Large Recommendation Models for Lifelong User Post-click Behaviors. | Zhuoxing Wei, Qingchen Xie, Qi Liu, Jingsong Yu |
| 2026 | AAAI | Melodia: Training-Free Music Editing Guided by Attention Probing in Diffusion Models. | Yi Yang, Haowen Li, Tianxiang Li, Boyu Cao, Xiaohan Zhang, Liqun Chen, Qi Liu |
| 2026 | AAAI | Conversational Learning Diagnosis via Reasoning Multi-Turn Interactive Learning. | Fangzhou Yao, Sheng Chang, Weibo Gao, Qi Liu |
| 2026 | AAAI | Themis: Automated Constraint-Aware Test Synthesis Framework for Code Reinforcement Learning. | Shengyu Ye, Qi Liu, Hao Jiang, Zheng Zhang, Heng Yu, Zhenya Huang |
| 2026 | ACISP | Secure Sealed-Bidding Networks via Conditional Time-Aware Access Authorization. | Qi Liu, Peng Jiang, Yimin Liu, Zhen Zhao, Liehuang Zhu |
| 2026 | ACL | Anchored Cyclic Generation: A Novel Paradigm for Long-Sequence Symbolic Music Generation. | Boyu Cao, Lekai Qian, Dehan Li, Haoyu Gu, Mingda Xu, Qi Liu |
| 2026 | ACL | Semantically Comprehensive Token Pruning in LVLMs via Maximizing Concept Coverage. | Xueting Li, Qi Liu, Chenghao Xu, Xu Yang, Guangtao Lyu, Jiahua Li, Cheng Deng |
| 2026 | ACL | EconProver: Towards More Economical Test-Time Scaling for Automated Theorem Proving. | Mukai Li, Linfeng Song, Zhenwen Liang, Jiahao Xu, Shansan Gong, Qi Liu, Haitao Mi, Dong Yu |
| 2026 | ACL | Cognitive Alpha Mining via LLM-Driven Code-Based Evolution. | Fengyuan Liu, Yi Huang, Sichun Luo, Yuqi Wang, Yazheng Yang, Xinye Li, Zefa Hu, Junlan Feng, Qi Liu |
| 2026 | ACL | Verified Critical Step Optimization for LLM Agents. | Mukai Li, Qingcheng Zeng, Tianqing Fang, Zhenwen Liang, Linfeng Song, Qi Liu, Haitao Mi, Dong Yu |
| 2026 | ACL | LongTutor: Benchmarking Large Language Models for Long-term Personalized Tutoring. | Ning Li, Zheng Zhang, Zhenya Huang, Rui Li, Yi Zhan, Yinbo Luo, Qi Liu, Enhong Chen |
| 2026 | ACL | AlphaQT-Bench: Diagnosing the Gap between Financial Code Generation and Quantitative Reasoning in LLMs. | Sichun Luo, Yi Huang, Shichang Meng, Fengyuan Liu, Mukai Li, Qinghua Yao, Zefa Hu, Junlan Feng, Qi Liu |
| 2026 | ACL | Revealing and Enhancing Core Visual Regions: Harnessing Internal Attention Dynamics for Hallucination Mitigation in LVLMs. | Guangtao Lyu, Qi Liu, Chenghao Xu, Jiexi Yan, Muli Yang, Xueting Li, Fen Fang, Cheng Deng |
| 2026 | ACL | One LLM Does Not Simulate All Students: Ability-Aware Student Simulation via Cognitive Diagnosis Guided LLM Assignment. | Huixing Que, Qi Liu, Weibo Gao, Zhenya Huang |
| 2026 | ACL | OS-Sentinel: Towards Safety-Enhanced Mobile GUI Agents via Hybrid Validation in Realistic Workflows. | Qiushi Sun, Mukai Li, Zhoumianze Liu, Zhihui Xie, Fangzhi Xu, Zhangyue Yin, Kanzhi Cheng, Zehao Li, Zichen Ding, Qi Liu, Zhiyong Wu, Zhuosheng Zhang, Ben Kao, Lingpeng Kong |
| 2026 | ACL | ShopSimulator: Evaluating and Exploring RL-Driven LLM Agent for Shopping Assistants. | Pei Wang, Yanan Wu, Xiaoshuai Song, Weixun Wang, Gengru Chen, Zhongwen Li, Kezhong Yan, Qi Liu, Ken Deng, Shuaibing Zhao, Shaopan Xiong, Xuepeng Liu, Xuefeng Chen, Wanxi Deng, Wenbo Su, Bo Zheng |
| 2026 | ACL | C-World: A Computer Use Agent Environment Creator. | Ziqiao Xi, Shuang Liang, Qi Liu, Jiaqing Zhang, Letian Peng, Fang Nan, Meshal Nayim, Tianhui Zhang, Rishika Mundada, Lianhui Qin, Biwei Huang, Kun Zhou |
| 2026 | ACL | Fisher-Driven Adaptive Locating for Knowledge Editing in Large Language Models. | Chenghao Xu, Jiexi Yan, Guangtao Lyu, Qi Liu, Muli Yang, Cheng Deng |
| 2026 | ACL | Eval-RAR: Evaluation-Driven Retrieval-Augmented Reasoning via Reinforcement Learning. | Heng Yu, Rui Li, Qi Liu, Wenjun Feng, Junfeng Kang, Yi Zhan |
| 2026 | ACL | Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees. | Zheng Zhang, Qi Liu, Siyuan Liang, Ning Li, Zirui Hu, Weibo Gao, Rui Li, Zhenya Huang, Leszek Rutkowski, Baosheng Yu, Dacheng Tao |
| 2026 | CHI | NarrAid: Supporting Storytelling of People with Aphasia via Generative Visual Scene Displays. | Xiangfei Hu, Xiuqi Zheng, Qi Liu, Zejian Li, Ying Zhang, Lu Wang, Xipei Ren |
| 2026 | CHI | Does Sycophancy Change Decisions? Effect of LLM Sycophancy on AI-Assisted Decision-Making. | Zejian Li, Jiaman Pan, Qi Liu, Yuning Xi, Yixiang Zhou, Yike Jin, Rongjie Mao, Pei Chen |
| 2026 | DASFAA | Generative Query Augmentation with Dual-view Contrastive Learning for Dense Retrieval in Conversational Search. | Wenyu Yan, Aoran Gan, Xukai Liu, Yanjiang Chen, Kai Zhang, Qi Liu |
| 2025 | AAAI | VERSE: Verification-based Self-Play for Code Instructions. | Hao Jiang, Qi Liu, Rui Li, Yuze Zhao, Yixiao Ma, Shengyu Ye, Junyu Lu, Yu Su |
| 2025 | AAAI | Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems. | Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Rui Lv, Zheng Zhang, Hao Wang, Zhenya Huang |
| 2025 | AAAI | Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship. | Junfeng Kang, Rui Li, Qi Liu, Zhenya Huang, Zheng Zhang, Yanjiang Chen, Linbo Zhu, Yu Su |
| 2025 | AAAI | Semi-IIN: Semi-Supervised Intra-Inter Modal Interaction Learning Network for Multimodal Sentiment Analysis. | Jinhao Lin, Yifei Wang, Yanwu Xu, Qi Liu |
| 2025 | AAAI | GenAL: Generative Agent for Adaptive Learning. | Rui Lv, Qi Liu, Weibo Gao, Haotian Zhang, Junyu Lu, Linbo Zhu |
| 2025 | AAAI | SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning. | Zhongjian Qiao, Jiafei Lyu, Kechen Jiao, Qi Liu, Xiu Li |
| 2025 | AAAI | Precision-Enhanced Human-Object Contact Detection via Depth-Aware Perspective Interaction and Object Texture Restoration. | Yuxiao Wang, Wenpeng Neng, Zhenao Wei, Yu Lei, Weiying Xue, Nan Zhuang, Yanwu Xu, Xinyu Jiang, Qi Liu |
| 2025 | AAAI | Geometry-Aware 3D Salient Object Detection Network. | Chen Wang, Liyuan Zhang, Le Hui, Qi Liu, Yuchao Dai |
| 2025 | AAAI | Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories. | Xiaohan Zhang, Zhenyu Sun, Yukui Qiu, Junyan Su, Qi Liu |
| 2025 | AAAI | LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study. | Nan Zhuang, Boyu Cao, Yi Yang, Jing Xu, Mingda Xu, Yuxiao Wang, Qi Liu |
| 2025 | ACL | Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting. | Hao Feng, Shu Wei, Xiang Fei, Wei Shi, Yingdong Han, Lei Liao, Jinghui Lu, Binghong Wu, Qi Liu, Chunhui Lin, Jingqun Tang, Hao Liu, Can Huang |
| 2025 | ACL | PQR: Improving Dense Retrieval via Potential Query Modeling. | Junfeng Kang, Rui Li, Qi Liu, Yanjiang Chen, Zheng Zhang, Junzhe Jiang, Heng Yu, Yu Su |
| 2025 | ACL | Entailment-Preserving First-order Logic Representations in Natural Language Entailment. | Jinu Lee, Qi Liu, Runzhi Ma, Vincent Han, Ziqi Wang, Heng Ji, Julia Hockenmaier |
| 2025 | ACL | MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality. | Shuaike Li, Kai Zhang, Qi Liu, Enhong Chen |
| 2025 | ACL | Design Choices for Extending the Context Length of Visual Language Models. | Mukai Li, Lei Li, Shansan Gong, Qi Liu |
| 2025 | ACL | UniRAG: Unified Query Understanding Method for Retrieval Augmented Generation. | Rui Li, Liyang He, Qi Liu, Zheng Zhang, Heng Yu, Yuyang Ye, Linbo Zhu, Yu Su |
| 2025 | ACL | AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models. | Qi Liu, Jingqing Ruan, Hao Li, Haodong Zhao, Desheng Wang, Jiansong Chen, Guanglu Wan, Xunliang Cai, Zhi Zheng, Tong Xu |
| 2025 | ACL | A Bounding Box is Worth One Token - Interleaving Layout and Text in a Large Language Model for Document Understanding. | Jinghui Lu, Haiyang Yu, Yanjie Wang, Yongjie Ye, Jingqun Tang, Ziwei Yang, Binghong Wu, Qi Liu, Hao Feng, Han Wang, Hao Liu, Can Huang |
| 2025 | ACL | HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation. | Jie Ouyang, Tingyue Pan, Mingyue Cheng, Ruiran Yan, Yucong Luo, Jiaying Lin, Qi Liu |
| 2025 | ACL | Stepwise Reasoning Disruption Attack of LLMs. | Jingyu Peng, Maolin Wang, Xiangyu Zhao, Kai Zhang, Wanyu Wang, Pengyue Jia, Qidong Liu, Ruocheng Guo, Qi Liu |
| 2025 | ACL | MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering. | Jingqun Tang, Qi Liu, Yongjie Ye, Jinghui Lu, Shu Wei, An-Lan Wang, Chunhui Lin, Hao Feng, Zhen Zhao, Yanjie Wang, Yuliang Liu, Hao Liu, Xiang Bai, Can Huang |
| 2025 | ACL | CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval. | Heng Yu, Junfeng Kang, Rui Li, Qi Liu, Liyang He, Zhenya Huang, Shuanghong Shen, Junyu Lu |
| 2025 | ACL | TestAgent: An Adaptive and Intelligent Expert for Human Assessment. | Junhao Yu, Yan Zhuang, Yuxuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen |
| 2025 | CHI | Ink Restorer: Virtual Restoration of Ancient Chinese Paintings Inheriting Traditional Restoration Processes. | Ying Zhang, Zejian Li, Jiesi Zhang, Fang Hu, Kewen Zhu, Qi Liu, Huanghuang Deng, Xiaoyu Chen, Lingyun Sun |
| 2025 | CIKM | Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study. | Shuo Yu, Mingyue Cheng, Qi Liu, Daoyu Wang, Jiqian Yang, Jie Ouyang, Yucong Luo, Chenyi Lei, Enhong Chen |
| 2025 | CIKM | TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models. | Jiahao Wang, Mingyue Cheng, Qingyang Mao, Yitong Zhou, Daoyu Wang, Qi Liu, Feiyang Xu, Xin Li |
| 2025 | CloudCom | KAN-Lite: Semantic Reasoning for Intent-Aware UAV Swarm Recovery in 6G Networks. | Jiaqi Lin, Qijie Qian, Qi Liu, Xiang Li, Senbai Zhang, Chunhui Cheng, Jinpeng Ran, Zhen Qin, Xudong Zhong |
| 2025 | CSCWD | BCPPAS : Blockchain-Based Cross-Domain Identity Authentication Scheme for IoT with Privacy Protection. | Qianqian Li, Yubing Han, Qi Liu, Guijuan Wang, Hao Yu, Jiguo Yu |
| 2025 | CVPR | HOIGen-1M: A Large-scale Dataset for Human-Object Interaction Video Generation. | Kun Liu, Qi Liu, Xinchen Liu, Jie Li, Yongdong Zhang, Jiebo Luo, Xiaodong He, Wu Liu |
| 2025 | CVPR | VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. | Lei Li, Yuancheng Wei, Zhihui Xie, Xuqing Yang, Yifan Song, Peiyi Wang, Chenxin An, Tianyu Liu, Sujian Li, Bill Yuchen Lin, Lingpeng Kong, Qi Liu |
| 2025 | DAC | Hydra: Harnessing Expert Popularity for Efficient Mixture-of-Expert Inference on Chiplet System. | Siqi He, Haozhe Zhu, Jiapei Zheng, Lizhou Wu, Bo Jiao, Qi Liu, Xiaoyang Zeng, Chixiao Chen |
| 2025 | DAC | DRAFT: Decoupling Backpropagation from Pre-trained Backbone for Efficient Transformer Fine-Tuning on Edge. | Zhirui Huang, Shiwei Liu, Haozhe Zhu, Qi Liu, Chixiao Chen |
| 2025 | DAC | McPAL: Scaling Unstructured Sparse Inference with Multi-Chiplet HBM-PIM Architecture for LLMs. | Shiwei Liu, Zhirui Huang, Jiangnan Yu, Qi Liu, Chixiao Chen |
| 2025 | DAC | SDISC: A Spike-Driven Human-Machine Interface with In-Situ Computing for Real-Time Low-Power Interaction. | Fangduo Zhu, Jingyi Chen, Jingsong Zhang, Xumeng Zhang, Siyuan Ouyang, Chenyang, Hao Jiang, Xiaonan Yang, Qi Liu |
| 2025 | DASFAA | Enhancing Knowledge Graph Completion with Entity Neighborhood and Relation Context. | Jianfang Chen, Kai Zhang, Aoran Gan, Shiwei Tong, Shuanghong Shen, Qi Liu |
| 2025 | DASFAA | MASS: Mitigating Aspect-Oriented Semantic Sparsity for Fine-Grained Sentiment Analysis. | Yanjiang Chen, Kai Zhang, Zhe Yang, Linan Yue, Xinjie Sun, Kun Zhang, Qi Liu |
| 2025 | DASFAA | From Memorization to Discovery: A Novel Benchmark for Relational Triple Extraction. | Aoran Gan, Ye Liu, Hongbo Gang, Kai Zhang, Qi Liu, Enhong Chen, Xin Li, Guoping Hu |
| 2025 | DASFAA | Learnable Relational Knowledge Distillation For Language Model Compression. | Feng Hu, Kai Zhang, Ye Liu, Meikai Bao, Xukai Liu, Yanjiang Chen, Gang Zhou, Qi Liu |
| 2025 | DASFAA | Enhancing Protein-Ligand Binding Affinity Prediction via Parameter-Efficient Fine-Tuning of Protein and Chemical Language Models. | Ruikang Li, Jiaxian Yan, Kai Zhang, Yanjiang Chen, Qi Liu, Min Gao, Enhong Chen |
| 2025 | EMNLP | ReAL: How Can LLMs Simulate the Real Teacher? Retrieval-enhanced Agent for Adaptive Learning. | Rui Lv, Qi Liu, Weibo Gao, Jiatong Li, Kai Zhang, Shiwei Tong |
| 2025 | EMNLP | Adaptive Preference Optimization with Uncertainty-aware Utility Anchor. | Xiaobo Wang, Zixia Jia, Jiaqi Li, Qi Liu, Zilong Zheng |
| 2025 | EMNLP | WildDoc: How Far Are We from Achieving Comprehensive and Robust Document Understanding in the Wild? | An-Lan Wang, Jingqun Tang, Lei Liao, Hao Feng, Qi Liu, Xiang Fei, Jinghui Lu, Han Wang, Hao Liu, Yuliang Liu, Xiang Bai, Can Huang |
| 2025 | EMNLP | Think and Recall: Layer-Level Prompting for Lifelong Model Editing. | Jinke Wang, Zenan Ying, Qi Liu, Wei Chen, Tong Xu, Huijun Hou, Zhi Zheng |
| 2025 | HPCA | EIGEN: Enabling Efficient 3DIC Interconnect with Heterogeneous Dual-Layer Network-on-Active-Interposer. | Siyao Jia, Bo Jiao, Haozhe Zhu, Chixiao Chen, Qi Liu, Ming Liu |
| 2025 | ICASSP | CSS: Overcoming Pose and Scene Challenges in Crowd-Sourced 3D Gaussian Splatting. | Runze Chen, Mingyu Xiao, Haiyong Luo, Fang Zhao, Fan Wu, Hao Xiong, Qi Liu, Meng Song |
| 2025 | ICASSP | SentiFormer: Metadata Enhanced Transformer for Image Sentiment Analysis. | Bin Feng, Shulan Ruan, Mingzheng Yang, Dongxuan Han, Huijie Liu, Kai Zhang, Qi Liu |
| 2025 | ICCV | MSA | Yangfu Li, Hongjian Zhan, Qi Liu, Li Sun, Yu-Jie Xiong, Yue Lu |
| 2025 | ICCV | Prompt Guidance and Human Proximal Perception for HOT Prediction with Regional Joint Loss. | Yuxiao Wang, Yu Lei, Zhenao Wei, Weiying Xue, Xinyu Jiang, Nan Zhuang, Qi Liu |
| 2025 | ICDE | GraphPrompter: Multi-Stage Adaptive Prompt Optimization for Graph In-Context Learning. | Rui Lv, Zaixi Zhang, Kai Zhang, Qi Liu, Weibo Gao, Jiawei Liu, Jiaxia Yan, Linan Yue, Fangzhou Yao |
| 2025 | ICDE | SylphDB: An Active and Adaptive LSM Engine for Update-Intensive Workloads. | Jun-Peng Zhu, Zhiwei Ye, Xiaolong He, Peng Cai, Xuan Zhou, Aoying Zhou, Dunbo Cai, Ling Qian, Kai Xu, Liu Tang, Qi Liu |
| 2024 | AAAI | Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives. | Weibo Gao, Qi Liu, Hao Wang, Linan Yue, Haoyang Bi, Yin Gu, Fangzhou Yao, Zheng Zhang, Xin Li, Yuanjing He |
| 2024 | AAAI | π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control. | Yin Gu, Kai Zhang, Qi Liu, Weibo Gao, Longfei Li, Jun Zhou |
| 2024 | AAAI | ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization. | Danning Lao, Qi Liu, Jiazi Bu, Junchi Yan, Wei Shen |
| 2024 | AAAI | CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework. | Rui Li, Liyang He, Qi Liu, Yuze Zhao, Zheng Zhang, Zhenya Huang, Yu Su, Shijin Wang |
| 2024 | AAAI | AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction. | Qi Liu, Xuyang Hou, Defu Lian, Zhe Wang, Haoran Jin, Jia Cheng, Jun Lei |
| 2024 | AAAI | R3CD: Scene Graph to Image Generation with Relation-Aware Compositional Contrastive Control Diffusion. | Jinxiu Liu, Qi Liu |
| 2024 | ACL | Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models. | Lei Li, Yuqi Wang, Runxin Xu, Peiyi Wang, Xiachong Feng, Lingpeng Kong, Qi Liu |
| 2024 | ACL | Red Teaming Visual Language Models. | Mukai Li, Lei Li, Yuwei Yin, Masood Ahmed, Zhenguang Liu, Qi Liu |
| 2024 | ACL | Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models. | Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li |
| 2024 | ACL | Large Language Models are not Fair Evaluators. | Peiyi Wang, Lei Li, Liang Chen, Zefan Cai, Dawei Zhu, Binghuai Lin, Yunbo Cao, Lingpeng Kong, Qi Liu, Tianyu Liu, Zhifang Sui |
| 2024 | ACL | Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization. | Yanghai Zhang, Ye Liu, Shiwei Wu, Kai Zhang, Xukai Liu, Qi Liu, Enhong Chen |
| 2024 | ACL | RePair: Automated Program Repair with Process-based Feedback. | Yuze Zhao, Zhenya Huang, Yixiao Ma, Rui Li, Kai Zhang, Hao Jiang, Qi Liu, Linbo Zhu, Yu Su |
| 2024 | APWEB | MERGE: Multi-view Relationship Graph Network for Event-Driven Stock Movement Prediction. | Liu Che, Tong Xu, Qi Liu, Zhi Zheng, Jingyu Peng, Enhong Chen |
| 2024 | CIKM | UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models. | Qi Liu, Yongyi He, Tong Xu, Defu Lian, Che Liu, Zhi Zheng, Enhong Chen |
| 2024 | CIKM | Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach. | Yuxiang Guo, Shuanghong Shen, Qi Liu, Zhenya Huang, Linbo Zhu, Yu Su, Enhong Chen |
| 2024 | CIKM | HeckmanCD: Exploiting Selection Bias in Cognitive Diagnosis. | Dongxuan Han, Qi Liu, Siqi Lei, Shiwei Tong, Wei Huang |
| 2024 | CIKM | Enhancing the Completeness of Rationales for Multi-Step Question Answering. | Shangzi Xue, Zhenya Huang, Xin Lin, Jiayu Liu, Longhu Qin, Tianhuang Su, Haifeng Liu, Qi Liu |
| 2024 | CIKM | Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval. | Hanqi Zhang, Chong Chen, Lang Mei, Qi Liu, Jiaxin Mao |
| 2024 | CIKM | Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information. | Rujiao Zhang, Hao Zhang, Yucong Luo, Zhiding Liu, Mingyue Cheng, Qi Liu, Enhong Chen |
| 2024 | COMPSAC | Ants: Attacking Spatial Temporal Graph Learning Networks Structurally. | Ran Ran, Qi Liu, Nuo Xu, Ning Sui, Wujie Wen |
| 2024 | CVPR | Improving Depth Completion via Depth Feature Upsampling. | Yufei Wang, Ge Zhang, Shaoqian Wang, Bo Li, Qi Liu, Le Hui, Yuchao Dai |
| 2024 | CVPR | OpenStory: A Large-Scale Open-Domain Dataset for Subject-Driven Visual Storytelling. | Zilyu Ye, Jinxiu Liu, Jinjin Cao, Zhiyang Chen, Ziwei Xuan, Mingyuan Zhou, Qi Liu, Guo-Jun Qi |
| 2024 | DAC | CEDAR: Computing-in-pixel Edge-aware Detection and Reconstruction Architecture for High-resolution 3D Imaging. | Bu Chen, Zhangcheng Huang, Qi Zheng, Weiyi Tang, Jingyi Wang, Hankun Lv, Chixiao Chen, Jianlu Wang, Qi Liu |
| 2024 | DAC | A High-Throughput Private Inference Engine Based on 3D Stacked Memory. | Zhaohui Chen, Ling Liang, Qi Liu, Zhirui Li, Fahong Zhang, Yanheng Lu, Zhen Gu |
| 2024 | DAC | CAMPER: Exploring the Potential of Content Addressable Memory for 3D Point Cloud Efficient Range Search. | Jiapei Zheng, Lizhou Wu, Yutong Su, Jingyi Wang, Zhangcheng Huang, Chixiao Chen, Qi Liu |
| 2024 | DASFAA | Post-hoc Facts augmented Legal Judgment Prediction. | Yanqing An, Linan Yue, Weibo Gao, Kai Zhang, Qi Liu |
| 2024 | DASFAA | Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. | Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li |
| 2024 | DASFAA | Modeling Learning Transfer Effects in Knowledge Tracing: A Dynamic and Bidirectional Perspective. | Weizhe Huang, Shuanghong Shen, Zhenya Huang, Qi Liu, Junyu Lu, Yu Su |
| 2024 | DASFAA | Mitigating Bias with Incomplete Sensitive Labels: A Confidence-Based Randomization Framework. | Zirui Hu, Zheng Zhang, Qi Liu, Haoyang Bi, Zhenya Huang, Qingyang Mao, Weibo Gao, Wenjun Feng |
| 2024 | DASFAA | Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling. | Junzhe Jiang, Shang Qu, Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Kai Zhang, Rui Li, Jiatong Li, Min Gao |
| 2024 | DASFAA | Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models. | Ye Liu, Kai Zhang, Aoran Gan, Linan Yue, Feng Hu, Qi Liu, Enhong Chen |
| 2024 | DASFAA | QoMRC: Query-oriented Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction. | Kehang Wang, Ye Liu, Kai Zhang, Qi Liu, Yankun Ren, Xinxing Yang, Longfei Li, Jun Zhou |
| 2024 | DASFAA | FedJudge: Federated Legal Large Language Model. | Linan Yue, Qi Liu, Yichao Du, Weibo Gao, Ye Liu, Fangzhou Yao |
| 2024 | DASFAA | Learning Recommender Systems with Soft Target: A Decoupled Perspective. | Hao Zhang, Mingyue Cheng, Qi Liu, Yucong Luo, Rui Li, Enhong Chen |
| 2024 | EMNLP | Towards Explainable Computerized Adaptive Testing with Large Language Model. | Cheng Cheng, Guanhao Zhao, Zhenya Huang, Yan Zhuang, Zhaoyuan Pan, Qi Liu, Xin Li, Enhong Chen |
| 2024 | EMNLP | Dynamic Multi-granularity Attribution Network for Aspect-based Sentiment Analysis. | Yanjiang Chen, Kai Zhang, Feng Hu, Xianquan Wang, Ruikang Li, Qi Liu |
| 2024 | EMNLP | VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment. | Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong, Qi Liu |
| 2024 | EMNLP | Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models. | Rui Li, Qi Liu, Liyang He, Zheng Zhang, Hao Zhang, Shengyu Ye, Junyu Lu, Zhenya Huang |
| 2024 | EMNLP | OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting. | Xukai Liu, Ye Liu, Kai Zhang, Kehang Wang, Qi Liu, Enhong Chen |
| 2024 | EMNLP | Retrieved Sequence Augmentation for Protein Representation Learning. | Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Lu, Qi Liu, Sheng Wang, Lingpeng Kong |
| 2024 | EMNLP | I-AM-G: Interest Augmented Multimodal Generator for Item Personalization. | Xianquan Wang, Likang Wu, Shukang Yin, Zhi Li, Yanjiang Chen, Hufeng Hufeng, Yu Su, Qi Liu |
| 2024 | EMNLP | Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding. | Ziqi Wang, Chen Zhu, Zhi Zheng, Xinhang Li, Tong Xu, Yongyi He, Qi Liu, Ying Yu, Enhong Chen |
| 2024 | EMNLP | Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models. | Yu Yuan, Lili Zhao, Kai Zhang, Guangting Zheng, Qi Liu |
| 2024 | FCCM | SpGCN: An FPGA-Based Graph Convolutional Network Accelerator for Sparse Graphs. | Xiangzhi Xu, Qi Liu, Wenjin Huang, Wenlu Peng, Yihua Huang |
| 2024 | FPGA | HR-GCN: An Efficient GCN Accelerator for Heterogeneous Graph Data and R-GCN Model. | Shengjun Xu, Wenlu Peng, Wenjin Huang, Qi Liu, Yihua Huang |
| 2024 | GLOBECOM | Multi-Modal Feature Map Fusion Based Jamming Recognition. | Liusiyang Du, Danyang Wang, Zan Li, Qi Liu, Chenxi Li, Jiangbo Si |
| 2024 | ICASSP | Which is the Better Teacher Action? A New Ranking Model and Dataset. | Ming Fang, Xinning Du, Qi Liu, Yunpeng Zhou, Qiwen Liang, Shuhua Liu |
| 2024 | ICASSP | Leveraging in-the-wild Data for Effective Self-supervised Pretraining in Speaker Recognition. | Shuai Wang, Qibing Bai, Qi Liu, Jianwei Yu, Zhengyang Chen, Bing Han, Yanmin Qian, Haizhou Li |
| 2024 | ICDAR | Multi-task Learning for License Plate Recognition in Unconstrained Scenarios. | Zhen-Lun Mo, Song-Lu Chen, Qi Liu, Feng Chen, Xu-Cheng Yin |
| 2024 | ICDE | Chat2Query: A Zero-Shot Automatic Exploratory Data Analysis System with Large Language Models. | Jun-Peng Zhu, Peng Cai, Boyan Niu, Zheming Ni, Kai Xu, Jiajun Huang, Jianwei Wan, Shengbo Ma, Bing Wang, Donghui Zhang, Liu Tang, Qi Liu |
| 2023 | AAAI | Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. | Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang |
| 2023 | AAAI | Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning. | Jiayu Liu, Zhenya Huang, ChengXiang Zhai, Qi Liu |
| 2023 | ACL | Enhancing Hierarchical Text Classification through Knowledge Graph Integration. | Ye Liu, Kai Zhang, Zhenya Huang, Kehang Wang, Yanghai Zhang, Qi Liu, Enhong Chen |
| 2023 | CCS | Fast Unbalanced Private Set Union from Fully Homomorphic Encryption. | Binbin Tu, Yu Chen, Qi Liu, Cong Zhang |
| 2023 | CIKM | Search-Efficient Computerized Adaptive Testing. | Yuting Hong, Shiwei Tong, Wei Huang, Yan Zhuang, Qi Liu, Enhong Chen, Xin Li, Yuanjing He |
| 2023 | CIKM | Deep Context Interest Network for Click-Through Rate Prediction. | Xuyang Hou, Zhe Wang, Qi Liu, Tan Qu, Jia Cheng, Jun Lei |
| 2023 | CIKM | Understanding the Multi-vector Dense Retrieval Models. | Qi Liu, Jiaxin Mao |
| 2023 | CIKM | Deep Task-specific Bottom Representation Network for Multi-Task Recommendation. | Qi Liu, Zhilong Zhou, Gangwei Jiang, Tiezheng Ge, Defu Lian |
| 2023 | CIKM | PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning. | Minghui Shan, Yixiao Ma, Shulan Ruan, Zhi Cao, Shiwei Tong, Qi Liu, Yu Su, Shijin Wang |
| 2023 | CIKM | Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering. | Sanshi Lei Yu, Qi Liu, Fei Wang, Yang Yu, Enhong Chen |
| 2023 | CIKM | Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems. | Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, Enhong Chen |
| 2023 | CVPR | Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction. | Bin Fan, Yuxin Mao, Yuchao Dai, Zhexiong Wan, Qi Liu |
| 2023 | CVPR | NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation. | Jiefeng Li, Siyuan Bian, Qi Liu, Jiasheng Tang, Fan Wang, Cewu Lu |
| 2023 | CVPR | Backdoor Defense via Deconfounded Representation Learning. | Zaixi Zhang, Qi Liu, Zhicai Wang, Zepu Lu, Qingyong Hu |
| 2023 | DAC | TiPU: A Spatial-Locality-Aware Near-Memory Tile Processing Unit for 3D Point Cloud Neural Network. | Jiapei Zheng, Hao Jiang, Xinkai Nie, Zhangcheng Huang, Chixiao Chen, Qi Liu |
| 2023 | DASC | Differential Privacy Protection Based on Federated Learning in Mobile Crowdsensing. | Qi Liu, Yingjie Wang, Weitao Zhao, Xuqiang Qiu |
| 2023 | DASC | A Generative Adversarial Model for Weather Radar Echo Extrapolation based on Cycle Generation Structure. | Jianhao Ma, Qi Liu, Yonghong Zhang, Xiaodong Liu |
| 2023 | DASC | A Real-Time Load Forecasting Approach Based on Graph Convolution Neural Network in a Distributed IoT Energy System. | Li Pan, Jixiang Gan, Qi Liu, Yonghong Zhang, Xiaodong Liu |
| 2023 | DASC | An Improved Deep Learning-Based Approach to Urban Weather Radar Echo Extrapolation. | Jiawei Sun, Zhiyun Yang, Qi Liu, Yonghong Zhang, Xiaodong Liu |
| 2023 | DASFAA | ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification. | Wenqiang He, Mingyue Cheng, Qi Liu, Zhi Li |
| 2023 | DASFAA | Class-Dynamic and Hierarchy-Constrained Network for Entity Linking. | Kehang Wang, Qi Liu, Kai Zhang, Ye Liu, Hanqing Tao, Zhenya Huang, Enhong Chen |
| 2023 | ECAI | An Empirical Study of Retrieval-Enhanced Graph Neural Networks. | Dingmin Wang, Shengchao Liu, Hanchen Wang, Bernardo Cuenca Grau, Linfeng Song, Jian Tang, Le Song, Qi Liu |
| 2023 | EMNLP | SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations. | Yirong Chen, Xiaofen Xing, Jingkai Lin, Huimin Zheng, Zhenyu Wang, Qi Liu, Xiangmin Xu |
| 2023 | EMNLP | Can Language Models Understand Physical Concepts? | Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Xu Sun, Lingpeng Kong, Qi Liu |
| 2023 | EMNLP | Interventional Rationalization. | Linan Yue, Qi Liu, Li Wang, Yanqing An, Yichao Du, Zhenya Huang |
| 2023 | HCI | Two Heads Are Better Than One: A Bio-Inspired Method for Improving Classification on EEG-ET Data. | Eric Modesitt, Ruiqi Yang, Qi Liu |
| 2023 | ICASSP | Self-Convolution for Automatic Speech Recognition. | Tianhao Zhang, Qi Liu, Xinyuan Qian, Song-Lu Chen, Feng Chen, Xu-Cheng Yin |
| 2023 | ICCV | LRRU: Long-short Range Recurrent Updating Networks for Depth Completion. | Yufei Wang, Bo Li, Ge Zhang, Qi Liu, Tao Gao, Yuchao Dai |
| 2023 | ICDAR | End-to-End Multi-line License Plate Recognition with Cascaded Perception. | Song-Lu Chen, Qi Liu, Feng Chen, Xu-Cheng Yin |
| 2023 | ICDE | Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract. | Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma |
| 2023 | ICDM | Intelligent Practical Teaching Platform based on Data Mining. | Qi Liu, Xiao Chen, Kun Niu, Wanru Zhang, Yiman Gao, Jin Wei |
| 2022 | AAAI | Anisotropic Additive Quantization for Fast Inner Product Search. | Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen |
| 2022 | AAAI | ProtGNN: Towards Self-Explaining Graph Neural Networks. | Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee |
| 2022 | AAAI | Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education. | Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen, Haiping Ma |
| 2022 | ACL | Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. | Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen |
| 2022 | CIKM | A Prerequisite Attention Model for Knowledge Proficiency Diagnosis of Students. | Haiping Ma, Jinwei Zhu, Shangshang Yang, Qi Liu, Haifeng Zhang, Xingyi Zhang, Yunbo Cao, Xuemin Zhao |
| 2022 | CIKM | A Hyperbolic-to-Hyperbolic User Representation with Multi-aspect for Social Recommendation. | Hang Zhang, Hao Wang, Guifeng Wang, Jiayu Liu, Qi Liu |
| 2022 | CIKM | CPEE: Civil Case Judgment Prediction centering on the Trial Mode of Essential Elements. | Lili Zhao, Linan Yue, Yanqing An, Yuren Zhang, Jun Yu, Qi Liu, Enhong Chen |
| 2022 | CVPR | Context-Aware Video Reconstruction for Rolling Shutter Cameras. | Bin Fan, Yuchao Dai, Zhiyuan Zhang, Qi Liu, Mingyi He |
| 2022 | DASC | Emerging Simulation Frameworks for Analyzing Smart Grid Cyberattack: A Literature Review. | Oscar Famous Darteh, Qi Liu, Xiaodong Liu, Ibrahima Bah, Francis Mawuli Nakoty, Amevi Acakpovi |
| 2022 | DASC | A Load Forecasting Approach Based on Graph Convolution Neural Network. | Jixiang Gan, Li Pan, Yuanyuan Jin, Qi Liu, Xiaodong Liu |
| 2022 | DASC | A BiLSTM-CRF Based Approach to Word Segmentation in Chinese. | Yuanyuan Jin, Shiyu Tao, Qi Liu, Xiaodong Liu |
| 2022 | DASC | PUNet: Convolutional Networks based on Parallel Feature Fusion. | Yang Li, Hui Lu, Qi Liu, Zhiyun Yang, Zihao Wu, Xiaodong Liu |
| 2022 | DASC | A Precipitation Prediction Method Based on UNet and Attention Mechanism. | Jianhao Ma, Jiawei Sun, Qi Liu, Xiaodong Liu |
| 2022 | DASC | A Recent Review of NILM Framework: Development and Challenges. | Maheesha Dhashantha Silva, Qi Liu, Oscar Famous Darteh |
| 2022 | DASC | Dense-FCN: A Deep Learning Approach for Weather Radar Beam Blockage Correction. | Jiawei Sun, Hao Wu, Qi Liu, Xiaodong Liu, Jianhao Ma |
| 2022 | DASC | An Input Sampling Scheme to Radar Echo Extrapolation For RNN-Based Models. | Youning Wang, Zhiyun Yang, Qi Liu, Xiaodong Liu |
| 2022 | DASC | An Improved LSTM-based Method Capturing Temporal Correlations and Using Attention Mechanism for Radar Echo Extrapolation. | Zhiyun Yang, Ru Ji, Qi Liu, Fei Dai, Yiwen Zhang, Quanwang Wu, Xiaodong Liu |
| 2022 | DASC | High Resolution Remote Sensing Water Image Segmentation Based on Dual Branch Network. | Ziwen Zhang, Yang Li, Qi Liu, Xiaodong Liu |
| 2022 | DASFAA | Tipster: A Topic-Guided Language Model for Topic-Aware Text Segmentation. | Zheng Gong, Shiwei Tong, Han Wu, Qi Liu, Hanqing Tao, Wei Huang, Runlong Yu |
| 2022 | EMNLP | Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play. | Qi Liu, Zihuiwen Ye, Tao Yu, Linfeng Song, Phil Blunsom |
| 2022 | EMNLP | Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation. | Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Qi Liu |
| 2022 | FNC | A two-stage robust optimization method based on the expected scenario for island microgrid energy management. | Ruizeng Wei, Lei Wang, Qi Liu, Tong Wang, Enze Zhou, Shuqin Liu, Huan He |
| 2022 | GLOBECOM | CNN-Enabled Multiple Power-Levels Identification in Cognitive Radio Networks. | Zhenyu Tan, Qi Liu, Zan Li, Danyang Wang, Ning Zhang, Hong-Ning Dai |
| 2022 | HCI | Dynamic Effects of Seller Competition on Platform Product Abundance from Short-Term and Long-Term Perspective. | Qi Liu, Zhen Zhu, Jian Mou |
| 2022 | ICARCV | Lidar-only 3D SLAM System Comparative Study. | Wenhu Ren, Xueyuan Li, Mengkai Li, Qi Liu, Zirui Li |
| 2022 | ICASSP | A Hybrid Learning Framework for Deep Spiking Neural Networks with One-Spike Temporal Coding. | Jiadong Wang, Jibin Wu, Malu Zhang, Qi Liu, Haizhou Li |
| 2022 | ICDM | One Person, One Model - Learning Compound Router for Sequential Recommendation. | Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen |
| 2022 | ICDM | A Cognitive Solver with Autonomously Knowledge Learning for Reasoning Mathematical Answers. | Jiayu Liu, Zhenya Huang, Xin Lin, Qi Liu, Jianhui Ma, Enhong Chen |
| 2021 | AAAI | NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction. | Yin Gu, Qi Liu, Kai Zhang, Zhenya Huang, Runze Wu, Jianrong Tao |
| 2021 | AAAI | HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem. | Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang |
| 2021 | AAAI | Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer. | Zhi Li, Zhefeng Wang, Zhicheng Wei, Xiangguang Zhou, Yijun Wang, Baoxing Huai, Qi Liu, Nicholas Jing Yuan, Renbin Gong, Enhong Chen |
| 2021 | AAAI | Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification. | Hanqing Tao, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Enhong Chen, Min Hou |
| 2021 | AAAI | Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty. | Guifeng Wang, Longbing Cao, Hongke Zhao, Qi Liu, Enhong Chen |
| 2021 | CIKM | SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation. | Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen |
| 2021 | DAC | Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles. | Pu Zhao, Geng Yuan, Yuxuan Cai, Wei Niu, Qi Liu, Wujie Wen, Bin Ren, Yanzhi Wang, Xue Lin |
| 2021 | DASC | A FCN Approach to Blockage Correction in Radars. | Hao Wu, Qi Liu, Xiaodong Liu, Yonghong Zhang, Xiaolong Xu, Muhammad Bilal |
| 2021 | DASC | An Intelligent Method for Upper Limb Posture Recognition Based on Limited MEMS Data. | Zihao Wu, Xueyan Wu, Qi Liu, Xiaodong Liu |
| 2021 | DASC | Task Scheduling Based on Multi-level Hashing and HRRN in cloud computing. | Lei Zeng, Jiawei Sun, Jianhao Ma, Qi Liu |
| 2021 | DASC | Improving Domestic NILM Using An Attention-Enabled Seq2Point Learning Approach. | Jing Zhang, Jiawei Sun, Jixiang Gan, Qi Liu, Xiaodong Liu |
| 2021 | DASFAA | Unpaired Multimodal Neural Machine Translation via Reinforcement Learning. | Yijun Wang, Tianxin Wei, Qi Liu, Enhong Chen |
| 2021 | DASFAA | Learning the Implicit Semantic Representation on Graph-Structured Data. | Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen |
| 2021 | EMNLP | NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. | Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu |
| 2021 | HPCC | Intelligent Question Answering System Based on Knowledge Graph. | Xijin Feng, Qi Liu, Xiaodong Liu |
| 2021 | HPCC | Microgrid Forecasting Using Multiple Deep learning Models. | Daxelle Sakubu, Qi Liu |
| 2021 | HPCC | An Improved Bi-LSTM Model for Entity Extraction of Intellectual Property Using Complex Graph. | Youning Wang, Qi Liu, Yang Wang |
| 2021 | ICCV | DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis. | Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen |
| 2021 | ICCV | Unsupervised Point Cloud Pre-training via Occlusion Completion. | Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matt J. Kusner |
| 2021 | ICDAR | Fast Recognition for Multidirectional and Multi-type License Plates with 2D Spatial Attention. | Qi Liu, Song-Lu Chen, Zhen-Jia Li, Chun Yang, Feng Chen, Xu-Cheng Yin |
| 2021 | ICDM | Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training. | Mingyue Cheng, Fajie Yuan, Qi Liu, Xin Xin, Enhong Chen |
| 2021 | ICDM | STAN: Adversarial Network for Cross-domain Question Difficulty Prediction. | Ye Huang, Wei Huang, Shiwei Tong, Zhenya Huang, Qi Liu, Enhong Chen, Jianhui Ma, Liang Wan, Shijin Wang |
| 2021 | ICDM | Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective. | Jie Huang, Qi Liu, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Enhong Chen, Yu Su, Shijin Wang |
| 2021 | ICDM | Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network. | Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Qi Liu, Enhong Chen |
| 2020 | AAAI | Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach. | Jun Wang, Hefu Zhang, Qi Liu, Zhen Pan, Hanqing Tao |
| 2020 | AAAI | Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach. | Yang Liu, Qi Liu, Hongke Zhao, Zhen Pan, Chuanren Liu |
| 2020 | AAAI | Multi-Task Self-Supervised Learning for Disfluency Detection. | Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang |
| 2020 | AAAI | Neural Cognitive Diagnosis for Intelligent Education Systems. | Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang |
| 2020 | AAAI | Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model. | Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen |
| 2020 | AAAI | Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution. | Yang You, Yujing Lou, Qi Liu, Yu-Wing Tai, Lizhuang Ma, Cewu Lu, Weiming Wang |
| 2020 | ACSAC | StegoNet: Turn Deep Neural Network into a Stegomalware. | Tao Liu, Zihao Liu, Qi Liu, Wujie Wen, Wenyao Xu, Ming Li |
| 2020 | CHI | Reconstructing Traditional Chinese Paintings with Immersive Virtual Reality. | Sheng Jin, Min Fan, Yongchao Wang, Qi Liu |
| 2020 | CIKM | Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation. | Qi Liu, Ruobing Xie, Lei Chen, Shukai Liu, Ke Tu, Peng Cui, Bo Zhang, Leyu Lin |
| 2020 | CIKM | Deep Behavior Tracing with Multi-level Temporality Preserved Embedding. | Runze Wu, Hao Deng, Jianrong Tao, Changjie Fan, Qi Liu, Liang Chen |
| 2020 | CVPR | SketchyCOCO: Image Generation From Freehand Scene Sketches. | Chengying Gao, Qi Liu, Qi Xu, Limin Wang, Jianzhuang Liu, Changqing Zou |
| 2020 | DAC | Monitoring the Health of Emerging Neural Network Accelerators with Cost-effective Concurrent Test. | Qi Liu, Tao Liu, Zihao Liu, Wujie Wen, Chengmo Yang |
| 2020 | DAC | Stealing Your Data from Compressed Machine Learning Models. | Nuo Xu, Qi Liu, Tao Liu, Zihao Liu, Xiaochen Guo, Wujie Wen |
| 2020 | ICASSP | Addressing the Polysemy Problem in Language Modeling with Attentional Multi-Sense Embeddings. | Rao Ma, Lesheng Jin, Qi Liu, Lu Chen, Kai Yu |
| 2020 | ICASSP | Neural Lattice Search for Speech Recognition. | Rao Ma, Hao Li, Qi Liu, Lu Chen, Kai Yu |
| 2020 | ICCAD | Concurrent Weight Encoding-based Detection for Bit-Flip Attack on Neural Network Accelerators. | Qi Liu, Wujie Wen, Yanzhi Wang |
| 2020 | ICDM | Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing. | Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang |
| 2020 | ICDM | STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation. | Haoyu Han, Mengdi Zhang, Min Hou, Fuzheng Zhang, Zhongyuan Wang, Enhong Chen, Hongwei Wang, Jianhui Ma, Qi Liu |
| 2020 | ICDM | Technical Phrase Extraction for Patent Mining: A Multi-level Approach. | Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Jianhui Ma, Qi Liu, Enhong Chen, Hanqing Tao, Ke Rui |
| 2020 | ICDM | Structure-based Knowledge Tracing: An Influence Propagation View. | Shiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, Shijin Wang |
| 2020 | ICDM | Exploiting Knowledge Hierarchy for Finding Similar Exercises in Online Education Systems. | Wei Tong, Shiwei Tong, Wei Huang, Liyang He, Jianhui Ma, Qi Liu, Enhong Chen |
| 2019 | AAAI | Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective. | Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge |
| 2019 | AAAI | Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. | Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He |
| 2019 | AAAI | A Radical-Aware Attention-Based Model for Chinese Text Classification. | Hanqing Tao, Shiwei Tong, Hongke Zhao, Tong Xu, Binbin Jin, Qi Liu |
| 2019 | AAAI | Interactive Attention Transfer Network for Cross-Domain Sentiment Classification. | Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen |
| 2019 | ASPDAC | A system-level perspective to understand the vulnerability of deep learning systems. | Tao Liu, Nuo Xu, Qi Liu, Yanzhi Wang, Wujie Wen |
| 2019 | ASRU | Highly Efficient Neural Network Language Model Compression Using Soft Binarization Training. | Rao Ma, Qi Liu, Kai Yu |
| 2019 | CIKM | DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis. | Song Cheng, Qi Liu, Enhong Chen, Zai Huang, Zhenya Huang, Yiying Chen, Haiping Ma, Guoping Hu |
| 2019 | CIKM | Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach. | Wei Huang, Enhong Chen, Qi Liu, Yuying Chen, Zai Huang, Yang Liu, Zhou Zhao, Dan Zhang, Shijin Wang |
| 2019 | CIKM | Exploring Multi-Objective Exercise Recommendations in Online Education Systems. | Zhenya Huang, Qi Liu, Chengxiang Zhai, Yu Yin, Enhong Chen, Weibo Gao, Guoping Hu |
| 2019 | CVPR | Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples. | Zihao Liu, Qi Liu, Tao Liu, Nuo Xu, Xue Lin, Yanzhi Wang, Wujie Wen |
| 2019 | CVPR | Towards Natural and Accurate Future Motion Prediction of Humans and Animals. | Zhenguang Liu, Shuang Wu, Shuyuan Jin, Qi Liu, Shijian Lu, Roger Zimmermann, Li Cheng |
| 2019 | CVPR | Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds. | Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang |
| 2019 | GLOBECOM | Two-Tier Resource Allocation in Dynamic Network Slicing Paradigm with Deep Reinforcement Learning. | Guo Yang, Qi Liu, Xiangwei Zhou, Yuwen Qian, Wen Wu |
| 2019 | HCI | ECG Identification Based on PCA and Adaboost Algorithm. | Qi Liu, Yujuan Si, Liangliang Li, Di Wang |
| 2019 | ICDM | Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering. | Mingyue Cheng, Runlong Yu, Qi Liu, Vincent W. Zheng, Hongke Zhao, Hefu Zhang, Enhong Chen |
| 2019 | ICDM | Constructing Educational Concept Maps with Multiple Relationships from Multi-Source Data. | Xiaoqing Huang, Qi Liu, Chao Wang, Haoyu Han, Jianhui Ma, Enhong Chen, Yu Su, Shijin Wang |
| 2018 | AAAI | Multi-Modal Multi-Task Learning for Automatic Dietary Assessment. | Qi Liu, Yue Zhang, Zhenguang Liu, Ye Yuan, Li Cheng, Roger Zimmermann |
| 2018 | AAAI | Exercise-Enhanced Sequential Modeling for Student Performance Prediction. | Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu |
| 2018 | AAAI | Confidence-Aware Matrix Factorization for Recommender Systems. | Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang |
| 2018 | ACL | Sentence-State LSTM for Text Representation. | Yue Zhang, Qi Liu, Linfeng Song |
| 2018 | APCC | Downlink Channel Reconstruction for FDD 3D Multi-Antenna Systems. | Qi Liu, Yu Han, Chao-Kai Wen, Shi Jin |
| 2018 | APCC | Joint Uplink and Downlink Scheduling in HetNets with Wireless Self-backhaul. | Qi Liu, Hui Tian, Gaofeng Nie, Hao Wu |
| 2018 | ASPDAC | Security analysis and enhancement of model compressed deep learning systems under adversarial attacks. | Qi Liu, Tao Liu, Zihao Liu, Yanzhi Wang, Yier Jin, Wujie Wen |
| 2018 | CIKM | Multiple Pairwise Ranking with Implicit Feedback. | Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen |
| 2018 | DASFAA | MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment. | Tianyu Zhu, Qi Liu, Zhenya Huang, Enhong Chen, Defu Lian, Yu Su, Guoping Hu |
| 2018 | ICA3PP | Towards an Efficient and Real-Time Scheduling Platform for Mobile Charging Vehicles. | Qi Liu, Jinyang Li, Xiaoshan Sun, Junjie Wang, Yang Ning, Wei Zheng, Jian Li, Hengchang Liu |
| 2018 | ICASSP | On Modular Training of Neural Acoustics-to-Word Model for LVCSR. | Zhehuai Chen, Qi Liu, Hao Li, Kai Yu |
| 2018 | ICASSP | Noise Robust Speech Recognition on Aurora4 by Humans and Machines. | Yanmin Qian, Tian Tan, Hu Hu, Qi Liu |
| 2018 | ICDM | A United Approach to Learning Sparse Attributed Network Embedding. | Hao Wang, Enhong Chen, Qi Liu, Tong Xu, Dongfang Du, Wen Su, Xiaopeng Zhang |
| 2017 | AAAI | Question Difficulty Prediction for READING Problems in Standard Tests. | Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu |
| 2017 | AAAI | A Context-Enriched Neural Network Method for Recognizing Lexical Entailment. | Kun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv |
| 2017 | ASRU | Future vector enhanced LSTM language model for LVCSR. | Qi Liu, Yanmin Qian, Kai Yu |
| 2017 | CIKM | Tracking Knowledge Proficiency of Students with Educational Priors. | Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen, Runze Wu, Yu Su, Guoping Hu |
| 2017 | CIKM | An Ad CTR Prediction Method Based on Feature Learning of Deep and Shallow Layers. | Zai Huang, Zhen Pan, Qi Liu, Bai Long, Haiping Ma, Enhong Chen |
| 2017 | CIKM | QALink: Enriching Text Documents with Relevant Q&A Site Contents. | Yixuan Tang, Weilong Huang, Qi Liu, Anthony K. H. Tung, Xiaoli Wang, Jisong Yang, Beibei Zhang |
| 2017 | COMPSAC | Combining Neutron and OpenDaylight for Management of Networking. | Lu Wang, Hongwei Ruan, Hua Li, Qi Liu |
| 2017 | DASFAA | EtherQL: A Query Layer for Blockchain System. | Yang Li, Kai Zheng, Ying Yan, Qi Liu, Xiaofang Zhou |
| 2016 | AAAI | Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos Based on Semantic Embedding. | Guangyi Lv, Tong Xu, Enhong Chen, Qi Liu, Yi Zheng |
| 2016 | AAAI | Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective. | Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang |
| 2016 | DASFAA | Collaborative Learning Team Formation: A Cognitive Modeling Perspective. | Yuping Liu, Qi Liu, Runze Wu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu |
| 2016 | DASFAA | Exploring the Choice Under Conflict for Social Event Participation. | Xiangyu Zhao, Tong Xu, Qi Liu, Hao Guo |
| 2016 | DASFAA | Exploring the Procrastination of College Students: A Data-Driven Behavioral Perspective. | Yan Zhu, Hengshu Zhu, Qi Liu, Enhong Chen, Hong Li, Hongke Zhao |
| 2016 | ICDM | Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation. | Defu Lian, Yuyang Ye, Wenya Zhu, Qi Liu, Xing Xie, Hui Xiong |
| 2016 | ICDM | Sparse Factorization Machines for Click-through Rate Prediction. | Zhen Pan, Enhong Chen, Qi Liu, Tong Xu, Haiping Ma, Hongjie Lin |
| 2015 | ASPDAC | Data sensing and analysis: Challenges for wearables. | James Williamson, Qi Liu, Fenglong Lu, Wyatt Mohrman, Kun Li, Robert P. Dick, Li Shang |
| 2015 | ICDAR | A study on effects of implicit and explicit language model information for DBLSTM-CTC based handwriting recognition. | Qi Liu, Lijuan Wang, Qiang Huo |
| 2015 | ICDM | Information Source Detection via Maximum A Posteriori Estimation. | Biao Chang, Feida Zhu, Enhong Chen, Qi Liu |
| 2015 | ICDM | Mining Indecisiveness in Customer Behaviors. | Qi Liu, Xianyu Zeng, Chuanren Liu, Hengshu Zhu, Enhong Chen, Hui Xiong, Xing Xie |
| 2014 | ADMA | High Utility Episode Mining Made Practical and Fast. | Guangming Guo, Lei Zhang, Qi Liu, Enhong Chen, Feida Zhu, Chu Guan |
| 2014 | CIKM | Influence Maximization over Large-Scale Social Networks: A Bounded Linear Approach. | Qi Liu, Biao Xiang, Enhong Chen, Hui Xiong, Fangshuang Tang, Jeffrey Xu Yu |
| 2014 | ICDM | Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective. | Qi Liu, Zheng Dong, Chuanren Liu, Xing Xie, Enhong Chen, Hui Xiong |
| 2013 | CIS | Random Walk with Pre-filtering for Social Link Prediction. | Ting Jin, Tong Xu, Enhong Chen, Qi Liu, Haiping Ma, Jingsong Lv, Guoping Hu |
| 2013 | IC2E | CloudBench: Experiment Automation for Cloud Environments. | Mrcio Silva, Michael R. Hines, Diego S. Gallo, Qi Liu, Kyung Dong Ryu, Dilma Da Silva |
| 2013 | ICDM | Linear Computation for Independent Social Influence. | Qi Liu, Biao Xiang, Lei Zhang, Enhong Chen, Chang Tan, Ji Chen |
| 2012 | CIKM | Leveraging tagging for neighborhood-aware probabilistic matrix factorization. | Le Wu, Enhong Chen, Qi Liu, Linli Xu, Tengfei Bao, Lei Zhang |
| 2012 | CIS | Analyzing Sequence Data Based on Conditional Random Fields with Co-training. | Leilei Yang, Guiquan Liu, Qi Liu, Lei Zhang, Enhong Chen |
| 2012 | COLING | THUTR: A Translation Retrieval System. | Chunyang Liu, Qi Liu, Yang Liu, Maosong Sun |
| 2011 | ICDM | Personalized Travel Package Recommendation. | Qi Liu, Yong Ge, Zhongmou Li, Enhong Chen, Hui Xiong |
| 2010 | CIKM | Exploiting user interests for collaborative filtering: interests expansion via personalized ranking. | Qi Liu, Enhong Chen, Hui Xiong, Chris H. Q. Ding |
| 2010 | ICDM | Transfer Learning on Heterogenous Feature Spaces via Spectral Transformation. | Xiaoxiao Shi, Qi Liu, Wei Fan, Philip S. Yu, Ruixin Zhu |
| 2009 | ICCD | Efficient binary translation system with low hardware cost. | Weiwu Hu, Qi Liu, Jian Wang, Songsong Cai, Menghao Su, Xiaoyu Li |
| 2008 | CIS | Construction and Counting Orthomorphism Based on Transversal. | Qi Liu, Yin Zhang, Cheng Chen, Shuwang Lv |
| 2008 | EUC | A Novel Platform for Context Maintenance and Discovery in a Ubiquitous Environment. | Qi Liu, Nigel Linge |
| 2005 | CW | Function-based Time-dependent Shape Modeling on the Web. | Qi Liu, Alexei Sourin |
| 2005 | ICCS | Simulating Market Dynamics with CD++. | Qi Liu, Gabriel A. Wainer |
| 2004 | CW | Analytically-Defined Collaborative Shape Modeling in VRML. | Qi Liu, Alexei Sourin |