| Tiara: A scalable and efficient hardware acceleration architecture for stateful layer-4 load balancing C Zeng, L Luo, T Zhang, Z Wang, L Li, W Han, N Chen, L Wan, L Liu, ... 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2022 | 40 | 2022 |
| SRNIC: A Scalable Architecture for RDMA NICs Z Wang, L Luo, Q Ning, C Zeng, W Li, X Wan, P Xie, T Feng, K Cheng, ... 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23), 2023 | 25 | 2023 |
| Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud H Tian, C Zeng, Z Ren, D Chai, J Zhang, K Chen, Q Yang 43rd IEEE Symposium on Security and Privacy (S&P), 2022 | 24 | 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 | 24 | 2021 |
| Joint heterogeneous server placement and application configuration in edge computing J Meng, C Zeng, H Tan, Z Li, B Li, XY Li 2019 IEEE 25th International Conference on Parallel and Distributed Systems …, 2019 | 24 | 2019 |
| 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 | 11 | 2022 |
| FAERY: An FPGA-accelerated Embedding-based Retrieval System C Zeng, L Luo, Q Ning, Y Han, Y Jiang, D Tang, Z Wang, K Chen, C Guo 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 22), 2022 | 11 | 2022 |
| LiteFlow: towards high-performance adaptive neural networks for kernel datapath J Zhang, C Zeng, H Zhang, S Hu, K Chen Proceedings of the ACM SIGCOMM 2022 Conference, 414-427, 2022 | 9 | 2022 |
| Load Balancing in PFC-Enabled Datacenter Networks J Hu, C Zeng, Z Wang, H Xu, J Huang, K Chen 6th Asia-Pacific Workshop on Networking (APNet 2022), 2022 | 9 | 2022 |
| Enabling Load Balancing for Lossless Datacenters J Hu, C Zeng, Z Wang, J Zhang, K Guo, H Xu, J Huang, K Chen The 31st IEEE International Conference on Network Protocols (ICNP 2023), 2023 | 7 | 2023 |
| Load Balancing With Multi-Level Signals for Lossless Datacenter Networks J Hu, C Zeng, Z Wang, J Zhang, K Guo, H Xu, J Huang, K Chen IEEE/ACM Transactions on Networking, 2024 | 2 | 2024 |
| Towards Fine-grained and Practical Flow Control for Datacenter Networks W Li, C Zeng, J Hu, K Chen The 31st IEEE International Conference on Network Protocols (ICNP 2023), 2023 | 2 | 2023 |
| Towards Fair and Efficient Learning-based Congestion Control X Liao, H Tian, C Zeng, X Wan, K Chen arXiv preprint arXiv:2403.01798, 2024 | 1 | 2024 |
| Accelerating Secure Collaborative Machine Learning with Protocol-Aware RDMA Z Ren, M Fan, Z Wang, J Zhang, C Zeng, Z Huang, C Hong, K Chen The 33rd USENIX Security Symposium (Security 24), 2024 | 1* | 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 | 1 | 2023 |
| Gleam: An RDMA-accelerated Multicast Protocol for Datacenter Networks W Li, J Zhang, G Zeng, Y Liu, Z Wang, C Zeng, P Zhou, Q Wang, K Chen arXiv preprint arXiv:2307.14074, 2023 | 1 | 2023 |
| Herald: An Embedding Scheduler for Distributed Embedding Model Training C Zeng, X Cheng, H Tian, H Wang, K Chen 6th Asia-Pacific Workshop on Networking (APNet 2022), 2022 | 1 | 2022 |
| Astraea: Towards Fair and Efficient Learning-based Congestion Control X Liao, H Tian, C Zeng, X Wan, K Chen | | 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 24), 2024 | | 2024 |
| Cepheus: Accelerating Datacenter Applications with High-Performance RoCE-Capable Multicast W Li, J Zhang, Y Liu, G Zeng, Z Wang, C Zeng, P Zhou, Q Wang, K Chen The 30th International Symposium on High-Performance Computer Architecture …, 2024 | | 2024 |
Kai ChenProfessor, HKUSTVerified email at cse.ust.hk
