| 2026 | AAAI | LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization. | Junsong Li, Jie Zhou, Bihao Zhan, Yutao Yang, Qianjun Pan, Shilian Chen, Tianyu Huai, Xin Li, Qin Chen, Liang He |
| 2026 | ACL | A Survey of Inductive Reasoning for Large Language Models. | Kedi Chen, Dezhao Ruan, Yuhao Dan, Yaoting Wang, Siyu Yan, Xuecheng Wu, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Biqing Qi, Linyang Li, Qipeng Guo, Xiaoming Shi, Wei Zhang |
| 2026 | ACL | PsychEval: A Multi-Session and Multi-Therapy Benchmark for High-Realism AI Psychological Counselor. | Qianjun Pan, Junyi Wang, Jie Zhou, Yutao Yang, Junsong Li, Kaiyin Xu, Yougen Zhou, Yihan Li, JingYuan Zhao, Qin Chen, Ningning Zhou, Kai Chen, Liang He |
| 2026 | ACL | TamEdit: Trajectory-Aware Meta-Learning for Specificity-Preserving Continual Knowledge Editing. | Shiqiang Tian, Cheng Ding, Qin Chen, Jie Zhou, Liang He |
| 2026 | ACL | LLM-KT: Enhancing Large Language Models with Knowledge Tracing via Multi-Level Plug-and-Play Alignment. | Ziwei Wang, Jie Zhou, Qin Chen, Bo Jiang, Qingchun Bai, Liang Dou, Liang He |
| 2026 | INFOCOM | ConnSched: Selective Connection Offloading Framework for Accelerating Stateful NFs with DPU. | Songlin Chen, Fuliang Li, Qin Chen, Chengxi Gao, Man Hou, Jiaxing Shen |
| 2025 | AAAI | Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection. | Kedi Chen, Qin Chen, Jie Zhou, Xinqi Tao, Bowen Ding, Jingwen Xie, Mingchen Xie, Peilong Li, Feng Zheng |
| 2025 | ACL | Large Language Models for Predictive Analysis: How Far Are They? | Qin Chen, Yuanyi Ren, Xiaojun Ma, Yuyang Shi |
| 2025 | ACL | P-React: Synthesizing Topic-Adaptive Reactions of Personality Traits via Mixture of Specialized LoRA Experts. | Yuhao Dan, Jie Zhou, Qin Chen, Junfeng Tian, Liang He |
| 2025 | ACL | Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering. | Linhao Ye, Lang Yu, Zhikai Lei, Qin Chen, Jie Zhou, Liang He |
| 2025 | CIKM | Adaptive Heterogeneous Graph Neural Networks: Bridging Heterophily and Heterogeneity. | Qin Chen, Guojie Song |
| 2025 | CVPR | CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering. | Tianyu Huai, Jie Zhou, Xingjiao Wu, Qin Chen, Qingchun Bai, Ze Zhou, Liang He |
| 2025 | EMNLP | SheetDesigner: MLLM-Powered Spreadsheet Layout Generation with Rule-Based and Vision-Based Reflection. | Qin Chen, Yuanyi Ren, Xiaojun Ma, Mugeng Liu, Shi Han, Dongmei Zhang |
| 2025 | ICCV | NoiseController: Towards Consistent Multi-View Video Generation via Noise Decomposition and Collaboration. | Haotian Dong, Xin Wang, Di Lin, Yipeng Wu, Qin Chen, Ruonan Liu, Kairui Yang, Ping Li, Qing Guo |
| 2025 | WWW | DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach. | Qin Chen, Liang Wang, Bo Zheng, Guojie Song |
| 2024 | AAAI | MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. | Lang Yu, Qin Chen, Jie Zhou, Liang He |
| 2024 | CIKM | Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching. | Yuyang Ding, Hanglei Hu, Jie Zhou, Qin Chen, Bo Jiang, Liang He |
| 2024 | COLING | Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models. | Shunyu Liu, Jie Zhou, Qunxi Zhu, Qin Chen, Qingchun Bai, Jun Xiao, Liang He |
| 2024 | COLING | A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder. | Kedi Chen, Jie Zhou, Qin Chen, Shunyu Liu, Liang He |
| 2024 | COLING | Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis. | Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He |
| 2024 | COLING | Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis. | Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | EMNLP | DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models. | Kedi Chen, Qin Chen, Jie Zhou, Yishen He, Liang He |
| 2024 | EMNLP | Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis. | Xuanwen Ding, Jie Zhou, Liang Dou, Qin Chen, Yuanbin Wu, Arlene Chen, Liang He |
| 2024 | IJCNN | Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering. | Baiyan Zhang, Qin Chen, Jie Zhou, Jian Jin, Liang He |
| 2024 | IECON | Multi-agent Reinforcement Learning-based Dynamic Pricing for EV Charing/Discharging. | Qin Chen, Komla A. Folly |
| 2024 | SIGIR | Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check. | Linhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie Zhou, Liang He |
| 2023 | CVPR | LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross- Modal Fusion. | Xin Li, Tao Ma, Yuenan Hou, Botian Shi, Yuchen Yang, Youquan Liu, Xingjiao Wu, Qin Chen, Yikang Li, Yu Qiao, Liang He |
| 2023 | ICASSP | Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations. | Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He |
| 2023 | ICONIP | Informative Prompt Learning for Low-Shot Commonsense Question Answering via Fine-Grained Redundancy Reduction. | Zhikai Lei, Jie Zhou, Qin Chen, Qi Zhang, Liang He |
| 2023 | IJCAI | Black-box Prompt Tuning for Vision-Language Model as a Service. | Lang Yu, Qin Chen, Jiaju Lin, Liang He |
| 2023 | ICTAI | Modeling Intra- and Inter-Modal Alignment with Optimal Transport for Visual Dialog. | Renjie Zheng, Qin Chen, Jie Zhou, Junfeng Tian, Liang He |
| 2023 | WWW | Rethinking Structural Encodings: Adaptive Graph Transformer for Node Classification Task. | Xiaojun Ma, Qin Chen, Yi Wu, Guojie Song, Liang Wang, Bo Zheng |
| 2022 | COLING | A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck. | Jie Zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang |
| 2022 | ICASSP | Enhancing Class Understanding Via Prompt-Tuning For Zero-Shot Text Classification. | Yuhao Dan, Jie Zhou, Qin Chen, Qingchun Bai, Liang He |
| 2022 | IJCAI | CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction. | Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He |
| 2022 | IJCNN | A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis. | Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He |
| 2022 | IGARSS | A Hand Gesture Recognition Method for Mmwave Radar Based on Angle-Range Joint Temporal Feature. | Qin Chen, Yiwei Li, Zongyong Cui, Zongjie Cao |
| 2022 | WWW | Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily. | Xiaojun Ma, Qin Chen, Yuanyi Ren, Guojie Song, Liang Wang |
| 2022 | SIGIR | Enhancing Event-Level Sentiment Analysis with Structured Arguments. | Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Liang He |
| 2021 | ACL | Attending via both Fine-tuning and Compressing. | Jie Zhou, Yuanbin Wu, Qin Chen, Xuanjing Huang, Liang He |
| 2021 | CIKM | Operation Diagnosis on Procedure Graph: The Task and Dataset. | Ruipu Luo, Qi Zhu, Qin Chen, Siyuan Wang, Zhongyu Wei, Weijian Sun, Shuang Tang |
| 2020 | EMNLP | Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. | Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee |
| 2020 | EMNLP | Automatic Term Name Generation for Gene Ontology: Task and Dataset. | Yanjian Zhang, Qin Chen, Yiteng Zhang, Zhongyu Wei, Yixu Gao, Jiajie Peng, Zengfeng Huang, Weijian Sun, Xuanjing Huang |
| 2020 | ICDM | Confidence Calibration on Multiclass Classification in Medical Imaging. | Wenjing Yang, Zhantao Cao, Qin Chen, Yuhong Yang, Guowu Yang |
| 2019 | CIKM | Using External Knowledge for Financial Event Prediction Based on Graph Neural Networks. | Yiying Yang, Zhongyu Wei, Qin Chen, Libo Wu |
| 2019 | EMNLP | Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph. | Xinzhu Lin, Xiahui He, Qin Chen, Huaixiao Tou, Zhongyu Wei, Ting Chen |
| 2019 | ICIP | High Joint Spectral-Spatial Resolution Imaging via Nanostructured Random Broadband Filtering. | Xiaolin Wu, Dahua Gao, Qin Chen, Kaiwei Zhang |
| 2018 | AAAI | CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity. | Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He |
| 2018 | AAAI | SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification. | Qinmin Hu, Jie Zhou, Qin Chen, Liang He |
| 2018 | AVI | Effect of temporality, physical activity and cognitive load on spatiotemporal vibrotactile pattern recognition. | Qin Chen, Simon T. Perrault, Quentin Roy, Lonce Wyse |
| 2018 | ICONIP | Enhancing the Recurrent Neural Networks with Positional Gates for Sentence Representation. | Yang Song, Wenxin Hu, Qin Chen, Qinmin Hu, Liang He |
| 2018 | IJCNN | Comparison of Three Methods for Short-Term Wind Power Forecasting. | Qin Chen, Komla A. Folly |
| 2018 | SIGIR | CAN: Enhancing Sentence Similarity Modeling with Collaborative and Adversarial Network. | Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He |
| 2017 | APCC | A multi-channel based passive detection strategy for high-speed moving target in the airspace under varying interference. | Qin Chen, Junjie Li, Jiang Zhu, Chunyi Song, Zhiwei Xu |
| 2017 | ICONIP | Knowledge Memory Based LSTM Model for Answer Selection. | Weijie An, Qin Chen, Yan Yang, Liang He |
| 2017 | ICTAI | Modeling User-Item Profiles with Neural Networks for Rating Prediction. | Lu Chen, Jie Zhou, Liang He, Qin Chen, Jiacheng Zhang, Yan Yang |
| 2017 | KSEM | Representation Learning with Entity Topics for Knowledge Graphs. | Xin Ouyang, Yan Yang, Liang He, Qin Chen, Jiacheng Zhang |
| 2017 | MICCAI | Breast Tumor Detection in Ultrasound Images Using Deep Learning. | Zhantao Cao, Lixin Duan, Guowu Yang, Ting Yue, Qin Chen, Huazhu Fu, Yanwu Xu |
| 2017 | SIGIR | Enhancing Recurrent Neural Networks with Positional Attention for Question Answering. | Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He, Weijie An |
| 2016 | CEC | Black-box expensive multiobjective optimization with adaptive in-fill rules. | Qin Chen, Bingxiang Long, Qingfu Zhang |
| 2016 | SIGIR | SG++: Word Representation with Sentiment and Negation for Twitter Sentiment Classification. | Qinmin Hu, Yijun Pei, Qin Chen, Liang He |
| 2015 | CEC | On performance of decomposition-based MOEAs in noisy environment. | Qin Chen, Cheng Fu, Qingfu Zhang |
| 2014 | CEC | Behavioral study of the surrogate model-aware evolutionary search framework. | Bo Liu, Qin Chen, Qingfu Zhang, Georges G. E. Gielen, Vic Grout |
| 2014 | SIGIR | Locating Query-oriented Experts in Microblog Search. | Qin Chen, Yan Yang, Qinmin Hu, Liang He |
| 2011 | CIS | Hierarchical Identity-based Broadcast Encryption Scheme on Lattices. | Jinman Zhang, Qin Chen |
| 2011 | ISNN | Changes in Electroencephalographic Power Spectra Associated with Reproductive Status in Frog. | Guangzhan Fang, Jianguo Cui, Qin Chen, Ping Yang, Jing Song, Yezhong Tang |
| 2011 | SSDBM | Scalable and Automated Workflow in Mining Large-Scale Severe-Storm Simulations. | Lei Jiang, Gabrielle Allen, Qin Chen |
| 2006 | ISDA | TLA: A Traffic Load Adaptive Congestion Control Algorithm for TCP/AQM Networks. | Ming Jiang, Qin Chen |
| 2006 | IWQoS | Real-time Power-Aware Routing in Sensor Networks. | Octav Chipara, Zhimin He, Guoliang Xing, Qin Chen, Xiaorui Wang, Chenyang Lu, John A. Stankovic, Tarek F. Abdelzaher |
| 1994 | ICRA | Coordination and Control of a Group of Small Mobile Robots. | Qin Chen, J. Y. S. Luh |
| 1994 | IROS | Distributed motion coordination of multiple robots. | Qin Chen, J. Y. S. Luh |
| 1993 | ICRA | Task Level Optimum Scheduling by Truncated Petri Nets Applied to Operation of Multi-Robot Workcells. | Qin Chen, J. Y. S. Luh |
| 1993 | ICRA | An Effective Approach to Solving Complex Scheduling Problem. | Qin Chen, J. Y. S. Luh |
| 1993 | IROS | Generation of optimum schedules in multi-robot workcells with high processing flexibility. | Qin Chen, J. Y. S. Luh |