| Multi-objective congestion control Y Ma, H Tian, X Liao, J Zhang, W Wang, K Chen, X Jin Proceedings of the Seventeenth European Conference on Computer Systems, 218-235, 2022 | 44 | 2022 |
| Tacc: A full-stack cloud computing infrastructure for machine learning tasks K Xu, X Wan, H Wang, Z Ren, X Liao, D Sun, C Zeng, K Chen arXiv preprint arXiv:2110.01556, 2021 | 32 | 2021 |
| Scalable and efficient full-graph gnn training for large graphs X Wan, K Xu, X Liao, Y Jin, K Chen, X Jin Proceedings of the ACM on Management of Data 1 (2), 1-23, 2023 | 29 | 2023 |
| Spine: An efficient DRL-based congestion control with ultra-low overhead H Tian, X Liao, C Zeng, J Zhang, K Chen Proceedings of the 18th International Conference on emerging Networking …, 2022 | 20 | 2022 |
| Towards fair and efficient learning-based congestion control X Liao, H Tian, C Zeng, X Wan, K Chen arXiv preprint arXiv:2403.01798, 2024 | 4 | 2024 |
| Astraea: Towards Fair and Efficient Learning-based Congestion Control X Liao, H Tian, C Zeng, X Wan, K Chen Proceedings of the Nineteenth European Conference on Computer Systems, 99-114, 2024 | 2 | 2024 |
| Accelerating Neural Recommendation Training with Embedding Scheduling C Zeng, X Liao, X Cheng, H Tian, X Wan, H Wang, K Chen 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2024 | 2 | 2024 |
| Efficient DRL-Based Congestion Control With Ultra-Low Overhead H Tian, X Liao, C Zeng, D Sun, J Zhang, K Chen IEEE/ACM Transactions on Networking, 2023 | 2 | 2023 |
| Achieving Fairness Generalizability for Learning-based Congestion Control with Jury H Tian, X Liao, D Sun, C Zeng, Y Jin, J Zhang, X Wan, Z Wang, Y Wang, ... | | 2025 |
| Datacenter Traffic Optimization with Deep Reinforcement Learning L Chen, J Lingys, K Chen, X Liao Communication Networks and Service Management in the Era of Artificial …, 2021 | | 2021 |
Kai ChenProfessor, HKUSTVerified email at cse.ust.hk
