| 2025 | EMNLP | Retrieval-Augmented Generation with Hierarchical Knowledge. | Haoyu Huang, Yongfeng Huang, Junjie Yang, Zhenyu Pan, Yongqiang Chen, Kaili Ma, Hongzhi Chen, James Cheng |
| 2023 | ICLR | Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization. | Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Kaili Ma, Han Yang, Peilin Zhao, Bo Han, James Cheng |
| 2022 | ICLR | Understanding and Improving Graph Injection Attack by Promoting Unnoticeability. | Yongqiang Chen, Han Yang, Yonggang Zhang, Kaili Ma, Tongliang Liu, Bo Han, James Cheng |
| 2021 | AAAI | Rethinking Graph Regularization for Graph Neural Networks. | Han Yang, Kaili Ma, James Cheng |
| 2021 | CIKM | HyperGraph Convolution Based Attributed HyperGraph Clustering. | Barakeel Fanseu Kamhoua, Lin Zhang, Kaili Ma, James Cheng, Bo Li, Bo Han |
| 2021 | Interspeech | A Fast Discrete Two-Step Learning Hashing for Scalable Cross-Modal Retrieval. | Huan Zhao, Kaili Ma |
| 2021 | MMM | Fast Discrete Matrix Factorization Hashing for Large-Scale Cross-Modal Retrieval. | Huan Zhao, Xiaolin She, Song Wang, Kaili Ma |
| 2020 | ICLR | Measuring and Improving the Use of Graph Information in Graph Neural Networks. | Yifan Hou, Jie Zhang, James Cheng, Kaili Ma, Richard T. B. Ma, Hongzhi Chen, Ming-Chang Yang |