| 2025 | ICRA | In-Context Learning Enables Robot Action Prediction in LLMs. | Yida Yin, Zekai Wang, Yuvan Sharma, Dantong Niu, Trevor Darrell, Roei Herzig |
| 2024 | AAAI | DRF: Improving Certified Robustness via Distributional Robustness Framework. | Zekai Wang, Zhengyu Zhou, Weiwei Liu |
| 2023 | DASFAA | Sequential Hypergraph Convolution Network for Next Item Recommendation. | Jiaxing Chen, Hongzhi Liu, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu |
| 2023 | ICDM | Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation. | Jiaxing Chen, Hongzhi Liu, Hongrui Guo, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu |
| 2023 | ICML | Better Diffusion Models Further Improve Adversarial Training. | Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan |
| 2022 | ACL | MetaWeighting: Learning to Weight Tasks in Multi-Task Learning. | Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Pengtao Xie |
| 2022 | ICARCV | Resilient Power System Black-start Restoration Model Considering Uncertain Renewable Energy. | Yi Lin, Meng Li, Yuchen Tang, Wei Lin, Zhiming Chen, Zekai Wang, Tao Ding |
| 2022 | ICML | Robustness Verification for Contrastive Learning. | Zekai Wang, Weiwei Liu |
| 2021 | ACL | BanditMTL: Bandit-based Multi-task Learning for Text Classification. | Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Wenbin Hu |
| 2019 | IJCAI | Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation. | Zekai Wang, Hongzhi Liu, Yingpeng Du, Zhonghai Wu, Xing Zhang |