| 2026 | AAAI | PSA-MF: Personality-Sentiment Aligned Multi-Level Fusion for Multimodal Sentiment Analysis. | Heng Xie, Kang Zhu, Zhengqi Wen, Jianhua Tao, Xuefei Liu, Ruibo Fu, Changsheng Li |
| 2025 | CVPR | RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models. | Haoran Hao, Jiaming Han, Changsheng Li, Yu-Feng Li, Xiangyu Yue |
| 2025 | ICCV | NATRA: Noise-Agnostic Framework for Trajectory Prediction with Noisy Observations. | Rongqing Li, Changsheng Li, Ruilin Lv, Yuhang Li, Yang Gao, Xiaolu Zhang, Jun Zhou |
| 2025 | IROS | Development of a Novel Miniaturized Dexterous Manipulator with Variable Stiffness for NOTES. | Rong Cong, Xipeng Wu, Chao Qian, Kaijie Zhang, Xingguang Duan, Changsheng Li |
| 2025 | IROS | Fast Real-Time Neural Network-Based Kinematics Solving of the Cosserat Rod Model for a Parallel Continuum Surgical Manipulator. | Xipeng Wu, Chao Qian, Jinpeng Diao, Xingguang Duan, Changsheng Li |
| 2024 | CIKM | RL-ISLAP: A Reinforcement Learning Framework for Industrial-Scale Linear Assignment Problems at Alipay. | Hanjie Li, Yue Ning, Yang Bao, Changsheng Li, Boxiao Chen, Xingyu Lu, Ye Yuan, Guoren Wang |
| 2024 | CVPR | On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving. | Kaituo Feng, Changsheng Li, Dongchun Ren, Ye Yuan, Guoren Wang |
| 2024 | ICDE | Attributed Network Embedding in Streaming Style. | Anbiao Wu, Ye Yuan, Changsheng Li, Yuliang Ma, Hao Zhang |
| 2024 | ICML | Keypoint-based Progressive Chain-of-Thought Distillation for LLMs. | Kaituo Feng, Changsheng Li, Xiaolu Zhang, Jun Zhou, Ye Yuan, Guoren Wang |
| 2024 | IROS | FDNet: Feature Decoupling Framework for Trajectory Prediction. | Yuhang Li, Changsheng Li, Baoyu Fan, Rongqing Li, Ziyue Zhang, Dongchun Ren, Ye Yuan, Guoren Wang |
| 2024 | ICRA | Excitation Trajectory Optimization for Dynamic Parameter Identification Using Virtual Constraints in Hands-on Robotic System. | Huanyu Tian, Martin Huber, Christopher E. Mower, Zhe Han, Changsheng Li, Xingguang Duan, Christos Bergeles |
| 2024 | KDD | ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving. | Rongqing Li, Changsheng Li, Yuhang Li, Hanjie Li, Yi Chen, Ye Yuan, Guoren Wang |
| 2023 | CIKM | SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation. | Xu Min, Xiaolu Zhang, Bin Shen, Shuhan Wang, Yong He, Changsheng Li, Jun Zhou |
| 2023 | ICIG | Class Incremental Learning with Important and Diverse Memory. | Mei Li, Zeyu Yan, Changsheng Li |
| 2023 | ICLR | Towards Open Temporal Graph Neural Networks. | Kaituo Feng, Changsheng Li, Xiaolu Zhang, Jun Zhou |
| 2023 | ICML | Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score. | Shuhai Zhang, Feng Liu, Jiahao Yang, Yifan Yang, Changsheng Li, Bo Han, Mingkui Tan |
| 2022 | IROS | GESRsim: Gastrointestinal Endoscopic Surgical Robot Simulator. | Huxin Gao, Zedong Zhang, Changsheng Li, Xiao Xiao, Liang Qiu, Xiaoxiao Yang, Ruoyi Hao, Xiuli Zuo, Yanqing Li, Hongliang Ren |
| 2022 | KDD | FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks. | Kaituo Feng, Changsheng Li, Ye Yuan, Guoren Wang |
| 2021 | AAAI | Unsupervised Active Learning via Subspace Learning. | Changsheng Li, Kaihang Mao, Lingyan Liang, Dongchun Ren, Wei Zhang, Ye Yuan, Guoren Wang |
| 2021 | AAAI | LRSC: Learning Representations for Subspace Clustering. | Changsheng Li, Chen Yang, Bo Liu, Ye Yuan, Guoren Wang |
| 2021 | ICRA | Magnetically-Connected Modular Reconfigurable Mini-robotic System with Bilateral Isokinematic Mapping and Fast On-site Assembly towards Minimally Invasive Procedures. | Xiao Xiao, Shilei Xu, Changsheng Li, Xiaoyi Gu, Huxin Gao, Max Q.-H. Meng, Hongliang Ren |
| 2020 | AAAI | Region Focus Network for Joint Optic Disc and Cup Segmentation. | Ge Li, Changsheng Li, Chan Zeng, Peng Gao, Guotong Xie |
| 2020 | AAAI | Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos. | Xiaoyu Zhang, Haichao Shi, Changsheng Li, Peng Li |
| 2020 | BMVC | Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions. | Jun Wang, Shaoguo Wen, Jianghua Yu, Kaixing Chen, Xin Zhou, Peng Gao, Guotong Xie, Changsheng Li |
| 2020 | IJCAI | On Deep Unsupervised Active Learning. | Changsheng Li, Handong Ma, Zhao Kang, Ye Yuan, Xiaoyu Zhang, Guoren Wang |
| 2019 | AAAI | Similarity Learning via Kernel Preserving Embedding. | Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu |
| 2019 | AAAI | Learning Transferable Self-Attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision. | Xiaoyu Zhang, Haichao Shi, Changsheng Li, Kai Zheng, Xiaobin Zhu, Lixin Duan |
| 2019 | AAAI | Residual Invertible Spatio-Temporal Network for Video Super-Resolution. | Xiaobin Zhu, Zhuangzi Li, Xiaoyu Zhang, Changsheng Li, Yaqi Liu, Ziyu Xue |
| 2019 | ICIP | Multi-View Metric Learning for Multi-Label Image Classification. | Mengying Zhang, Changsheng Li, Xiangfeng Wang |
| 2019 | IJCNN | A Deep Learning Algorithm for Fully Automatic Brain Tumor Segmentation. | Yu Wang, Changsheng Li, Ting Zhu, Chongchong Yu |
| 2018 | IJCAI | Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning. | Junchi Yan, Xin Liu, Liangliang Shi, Changsheng Li, Hongyuan Zha |
| 2018 | ICWS | An Efficient Distributed-Computing Framework for Association-Rule-Based Recommendation. | Changsheng Li, Weichao Liang, Zhiang Wu, Jie Cao |
| 2017 | AAAI | Self-Paced Multi-Task Learning. | Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha |
| 2017 | IJCAI | Autoencoder Regularized Network For Driving Style Representation Learning. | Weishan Dong, Ting Yuan, Kai Yang, Changsheng Li, Shilei Zhang |
| 2016 | AAAI | Spatially Regularized Streaming Sensor Selection. | Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang |
| 2016 | IJCAI | On Modeling and Predicting Individual Paper Citation Count over Time. | Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang, Xiaokang Yang, Stephen M. Chu, Hongyuan Zha |
| 2016 | IJCAI | Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior. | Junchi Yan, Shuai Xiao, Changsheng Li, Bo Jin, Xiangfeng Wang, Bin Ke, Xiaokang Yang, Hongyuan Zha |
| 2016 | INFOCOM | Ensemble feature selection with discriminative and representative properties for malware detection. | Xiaoyu Zhang, Shupeng Wang, Lei Zhang, Chunjie Zhang, Changsheng Li |
| 2014 | CIKM | Maximizing Multi-scale Spatial Statistical Discrepancy. | Weishan Dong, Renjie Yao, Chunyang Ma, Changsheng Li, Lei Shi, Lu Wang, Yu Wang, Peng Gao, Junchi Yan |
| 2014 | ICPR | Multiple-Output Regression with High-Order Structure Information. | Changsheng Li, Lin Yang, Qingshan Liu, Fanjing Meng, Weishan Dong, Yu Wang, Jingmin Xu |
| 2013 | MMM | Collaborative Tracking: Dynamically Fusing Short-Term Trackers and Long-Term Detector. | Guibo Zhu, Jinqiao Wang, Changsheng Li, Hanqing Lu |
| 2012 | CVPR | Learning ordinal discriminative features for age estimation. | Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu |
| 2012 | ICPR | Learning distance metric regression for facial age estimation. | Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu |