Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process. - Haosheng Zou; Hang Su 006; Shihong Song; Jun Zhu 001 (AAAI, 2018)

Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning. - Shihong Song; Jiayi Weng; Hang Su 006; Dong Yan; Haosheng Zou; Jun Zhu 001 (IJCAI, 2019)

Regularized OFU: an Efficient UCB Estimator forNon-linear Contextual Bandit. - Yichi Zhou; Shihong Song; Huishuai Zhang; Jun Zhu 001; Wei Chen 034; Tie-Yan Liu (CoRR, 2021)

Relax and Merge: A Simple Yet Effective Framework for Solving Fair k-Means and k-sparse Wasserstein Barycenter Problems. - Shihong Song; Guanlin Mo; Qingyuan Yang; Hu Ding (CoRR, 2024)

Towards Metric DBSCAN: Exact, Approximate, and Streaming Algorithms. - Guanlin Mo; Shihong Song; Hu Ding (Proc. ACM Manag. Data, 2024)

Relax and Merge: A Simple Yet Effective Framework for Solving Fair k-Means and k-sparse Wasserstein Barycenter Problems. - Shihong Song; Guanlin Mo; Hu Ding (ICLR, 2025)

To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation. - Wanlin Zhang; Weichen Lin; Ruomin Huang; Shihong Song; Hu Ding (ICLR, 2025)