| 2025 | ICML | Provable Policy Gradient for Robust Average-Reward MDPs Beyond Rectangularity. | Qiuhao Wang, Yuqi Zha, Chin Pang Ho, Marek Petrik |
| 2025 | IROS | Learning Distributed End-to-End Hunting Locomotion for Multiple Quadruped Robots. | Chung Yui Yeung, Shing Ming Wong, Wai Nam Tung, Shaohang Xu, Chin Pang Ho |
| 2024 | ICRA | Distributionally Robust Chance Constrained Trajectory Optimization for Mobile Robots within Uncertain Safe Corridor. | Shaohang Xu, Haolin Ruan, Wentao Zhang, Yian Wang, Lijun Zhu, Chin Pang Ho |
| 2024 | ICRA | Observer-based Distributed MPC for Collaborative Quadrotor-Quadruped Manipulation of a Cable-Towed Load. | Shaohang Xu, Yian Wang, Wentao Zhang, Chin Pang Ho, Lijun Zhu |
| 2024 | ICRA | Optimal Prescribed-Time Control based Reactive Planning System for Quadruped Robot Navigation. | Shaohang Xu, Wentao Zhang, Chin Pang Ho, Lijun Zhu |
| 2023 | ICML | Robust Satisficing MDPs. | Haolin Ruan, Siyu Zhou, Zhi Chen, Chin Pang Ho |
| 2023 | ICML | Policy Gradient in Robust MDPs with Global Convergence Guarantee. | Qiuhao Wang, Chin Pang Ho, Marek Petrik |
| 2023 | ICRA | Distributed Model Predictive Formation Control with Gait Synchronization for Multiple Quadruped Robots. | Shaohang Xu, Wentao Zhang, Lijun Zhu, Chin Pang Ho |
| 2023 | SDM | Reinforced EM Algorithm for Clustering with Gaussian Mixture Models. | Joshua Tobin, Chin Pang Ho, Mimi Zhang |
| 2022 | ICRA | Learning Efficient and Robust Multi-Modal Quadruped Locomotion: A Hierarchical Approach. | Shaohang Xu, Lijun Zhu, Chin Pang Ho |
| 2021 | AISTATS | Optimizing Percentile Criterion using Robust MDPs. | Bahram Behzadian, Reazul Hasan Russel, Marek Petrik, Chin Pang Ho |
| 2018 | ICML | Fast Bellman Updates for Robust MDPs. | Chin Pang Ho, Marek Petrik, Wolfram Wiesemann |
| 2016 | MICCAI | Myocardial Segmentation of Contrast Echocardiograms Using Random Forests Guided by Shape Model. | Yuanwei Li, Chin Pang Ho, Navtej Chahal, Roxy Senior, Meng-Xing Tang |
| 2015 | MICCAI | Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning. | Liang Chen, Tong Tong, Chin Pang Ho, Rajiv Patel, David A. Cohen, Angela C. Dawson, Omid Halse, Olivia Geraghty, Paul E. M. Rinne, Christopher J. White, Tagore Nakornchai, Paul Bentley, Daniel Rueckert |