| 2026 | SIGCOMM | LST-Sim: An Efficient Simulation Platform for Large-Scale Model Training. | Siwei Ji, Yihao Sun, Bo Lei, Jing Tang, Yongchen Pan, Ziheng Xu, Xiaoting Ma, Yue Zhang |
| 2025 | AAAI | Column-Oriented Datalog on the GPU. | Yihao Sun, Sidharth Kumar, Thomas Gilray, Kristopher K. Micinski |
| 2025 | ASPLOS | Optimizing Datalog for the GPU. | Yihao Sun, Ahmedur Rahman Shovon, Thomas Gilray, Sidharth Kumar, Kristopher K. Micinski |
| 2025 | ICLR | Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning. | Haoxin Lin, Yu-Yan Xu, Yihao Sun, Zhilong Zhang, Yi-Chen Li, Chengxing Jia, Junyin Ye, Jiaji Zhang, Yang Yu |
| 2025 | ICML | Improving Reward Model Generalization from Adversarial Process Enhanced Preferences. | Zhilong Zhang, Tian Xu, Xinghao Du, Xingchen Cao, Yihao Sun, Yang Yu |
| 2025 | IROS | Emergent Cooperative Strategies for Pursuit-Evasion in Cluttered Environments: A Knowledge-Enhanced Multi-Agent Deep Reinforcement Learning Approach. | Yihao Sun, Chao Yan, Han Zhou, Xiaojia Xiang, Jie Jiang |
| 2025 | ICS | Multi-Node Multi-GPU Datalog. | Ahmedur Rahman Shovon, Yihao Sun, Kristopher K. Micinski, Thomas Gilray, Sidharth Kumar |
| 2024 | AAAI | Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward. | Haoxin Lin, Hongqiu Wu, Jiaji Zhang, Yihao Sun, Junyin Ye, Yang Yu |
| 2024 | ADMA | RBMO-Att-Bi-LSTM: A Red-Billed Blue Magpie Optimiser-Self-attention Mechanism Based Optimisation of Bi-Directional Long- and Short-Term Memory Networks for Classification of COVID-19 CT Images. | Yihao Sun, Tianming Du, Hongzan Sun, Jian Xu, Md Mamunur Rahaman, Xinghao Wang, Xinyu Huang, Tao Jiang, Marcin Grzegorzek, Ning Xu, Chen Li |
| 2024 | ICLR | Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation. | Zhilong Zhang, Yihao Sun, Junyin Ye, Tian-Shuo Liu, Jiaji Zhang, Yang Yu |
| 2024 | ICML | Policy-conditioned Environment Models are More Generalizable. | Ruifeng Chen, Xiong-Hui Chen, Yihao Sun, Siyuan Xiao, Minhui Li, Yang Yu |
| 2023 | CLUSTER | Communication-Avoiding Recursive Aggregation. | Yihao Sun, Sidharth Kumar, Thomas Gilray, Kristopher K. Micinski |
| 2023 | ECAI | Model-Based Reinforcement Learning with Multi-Step Plan Value Estimation. | Haoxin Lin, Yihao Sun, Jiaji Zhang, Yang Yu |
| 2023 | ICML | Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning. | Yihao Sun, Jiaji Zhang, Chengxing Jia, Haoxin Lin, Junyin Ye, Yang Yu |
| 2019 | GLOBECOM | A Learning-Based Bandwidth Resource Allocation Method in Sliced 5G C-RAN. | Yihao Sun, Yaxin Wang, Hang Yu, Boren Guo, Xin Zhang |
| 2019 | VTC | Implementation of C-RAN Architecture with CU-CP and CU-UP Separation Based on SDR/NFV. | Hang Yu, Chunli Ye, Yannan Yuan, Yihao Sun, Boren Guo, Xin Zhang |
| 2019 | WCNC | Implementation of C-RAN Architecture with CU/DU Split on a Flexible SDR Testbed. | Boren Guo, Chunli Ye, Hang Yu, Yihao Sun, Yaxin Wang, Yannan Yuan, Xin Zhang, Hongwen Yang |