| 2026 | AAAI | Rethinking Visual Token Reduction in LVLMs Under Cross-Modal Misalignment. | Rui Xu, Yunke Wang, Yong Luo, Bo Du |
| 2026 | ACL | Mitigating Legal Hallucinations via Symbolic Constraints and Analogical Precedents. | Zixuan Huang, Yanxiang Ma, Luhan Wang, Yunke Wang, Duo Shi, Chang Xu |
| 2025 | AAAI | WaterDiffusion: Learning a Prior-involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration. | Laibin Chang, Yunke Wang, Longxiang Deng, Bo Du, Chang Xu |
| 2025 | ICML | Position: AI Scaling: From Up to Down and Out. | Yunke Wang, Yanxi Li, Chang Xu |
| 2025 | KDD | FusionSAM: Visual Multi-Modal Learning with Segment Anything Model. | Daixun Li, Weiying Xie, Mingxiang Cao, Yunke Wang, Yusi Zhang, Leyuan Fang, Yunsong Li, Chang Xu |
| 2025 | NAACL | CollagePrompt: A Benchmark for Budget-Friendly Visual Recognition with GPT-4V. | Siyu Xu, Yunke Wang, Daochang Liu, Bo Du, Chang Xu |
| 2025 | WWW | Workshop on Sustainable AI for the Future Web. | Chang Xu, Yunke Wang, Jianyuan Guo, Daochang Liu, Minjing Dong, Yasmeen M. George, Johan Barthelemy, Yan Liu, Ling Chen |
| 2024 | ICML | Imitation Learning from Purified Demonstrations. | Yunke Wang, Minjing Dong, Yukun Zhao, Bo Du, Chang Xu |
| 2023 | AAAI | Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning. | Yunke Wang, Bo Du, Chang Xu |
| 2023 | KDD | Learning to Schedule in Diffusion Probabilistic Models. | Yunke Wang, Xiyu Wang, Anh-Dung Dinh, Bo Du, Charles Xu |
| 2021 | ICML | Learning to Weight Imperfect Demonstrations. | Yunke Wang, Chang Xu, Bo Du, Honglak Lee |
| 2021 | IJCAI | Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations. | Yunke Wang, Chang Xu, Bo Du |
| 2015 | ISI | A statistical study of covert timing channels using network packet frequency. | Fangyue Chen, Yunke Wang, Heng Song, Xiangyang Li |