| 2026 | AAAI | FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training. | Yuyuan Li, Junjie Fang, Fengyuan Yu, Xichun Sheng, Tianyu Du, Xuyang Teng, Shaowei Jiang, Linbo Jiang, Jianan Lin, Chaochao Chen |
| 2026 | AAAI | DP-GenG: Differentially Private Dataset Distillation Guided by DP-Generated Data. | Shuo Shi, Jinghuai Zhang, Shijie Jiang, Chunyi Zhou, Yuyuan Li, Mengying Zhu, Yangyang Wu, Tianyu Du |
| 2026 | AAAI | Bridging the Copyright Gap: Do Large Vision-Language Models Recognize and Respect Copyrighted Content? | Naen Xu, Jinghuai Zhang, Changjiang Li, Hengyu An, Chunyi Zhou, Jun Wang, Boyu Xu, Yuyuan Li, Tianyu Du, Shouling Ji |
| 2026 | AAAI | TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models. | Li Zhang, Zhongxuan Han, Xiaohua Feng, Jiaming Zhang, Yuyuan Li, Linbo Jiang, Jianan Lin, Chaochao Chen |
| 2026 | ACL | "I See What You Did There": Can Large Vision-Language Models Understand Multimodal Puns? | Naen Xu, Jiayi Sheng, Changjiang Li, Chunyi Zhou, Yuyuan Li, Tianyu Du, Jun Wang, Zhihui Fu, Jinbao Li, Shouling Ji |
| 2026 | WWW | Sharpness-Aware Minimization for Generalized Embedding Learning in Federated Recommendation. | Fengyuan Yu, Xiaohua Feng, Yuyuan Li, Changwang Zhang, Jun Wang, Chaochao Chen |
| 2026 | WWW | Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems. | Jiaming Zhang, Yuyuan Li, Xiaohua Feng, Li Zhang, Longfei Li, Jun Zhou, Chaochao Chen |
| 2025 | CVPR | MotionStone: Decoupled Motion Intensity Modulation with Diffusion Transformer for Image-to-Video Generation. | Shuwei Shi, Biao Gong, Xi Chen, Dandan Zheng, Shuai Tan, Zizheng Yang, Yuyuan Li, Jingwen He, Kecheng Zheng, Jingdong Chen, Ming Yang, Yinqiang Zheng |
| 2025 | ICLR | Controllable Unlearning for Image-to-Image Generative Models via ϵ-Constrained Optimization. | Xiaohua Feng, Yuyuan Li, Chaochao Chen, Li Zhang, Longfei Li, Jun Zhou, Xiaolin Zheng |
| 2025 | WWW | Plug and Play: Enabling Pluggable Attribute Unlearning in Recommender Systems. | Xiaohua Feng, Yuyuan Li, Fengyuan Yu, Li Zhang, Chaochao Chen, Xiaolin Zheng |
| 2024 | AAAI | Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems. | Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Meng Li, Weiming Liu, Binhui Yao, Yuyuan Li, Jianwei Yin |
| 2024 | CVPR | Check, Locate, Rectify: A Training-Free Layout Calibration System for Text- to- Image Generation. | Biao Gong, Siteng Huang, Yutong Feng, Shiwei Zhang, Yuyuan Li, Yu Liu |
| 2024 | EMNLP | Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models. | Xiaohua Feng, Chaochao Chen, Yuyuan Li, Zibin Lin |
| 2024 | ICML | One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment. | Chaochao Chen, Jiaming Zhang, Yuyuan Li, Zhongxuan Han |
| 2024 | SIGIR | Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems. | Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Li Zhang, Yuyuan Li |
| 2023 | CVPR | VoP: Text-Video Co-Operative Prompt Tuning for Cross-Modal Retrieval. | Siteng Huang, Biao Gong, Yulin Pan, Jianwen Jiang, Yiliang Lv, Yuyuan Li, Donglin Wang |
| 2020 | GLOBECOM | Secure Fog-assisted Sharing for Multimedia Health Records in the Cloud. | Jingwei Liu, Yuyuan Li, Rong Sun, Xiaojiang Du, Mohsen Guizani |
| 2018 | ICASSP | Depth Super-Resolution Using Joint Adaptive Weighted Least Squares And Patching Gradient. | Yuyuan Li, Jiarui Sun, Bingshu Wang, Yong Zhao |
| 2018 | ICASSP | Hard Shadows Removal Using an Approximate Illumination Invariant. | Bingshu Wang, C. L. Philip Chen, Yuyuan Li, Yong Zhao |