Joint Heterogeneous Server Placement and Application Configuration in Edge Computing. - Jiaying Meng; Chaoliang Zeng; Haisheng Tan; Zining Li; Bojie Li; Xiang-Yang Li 001 (ICPADS, 2019)

TACC: A Full-stack Cloud Computing Infrastructure for Machine Learning Tasks. - Kaiqiang Xu; Xinchen Wan; Hao Wang 116; Zhenghang Ren; Xudong Liao; Decang Sun; Chaoliang Zeng; Kai Chen 005 (CoRR, 2021)

Load Balancing in PFC-Enabled Datacenter Networks. - Jinbin Hu; Chaoliang Zeng; Zilong Wang 007; Hong Xu 001; Jiawei Huang 001; Kai Chen 005 (APNet, 2022)

Herald: An Embedding Scheduler for Distributed Embedding Model Training. - Chaoliang Zeng; Xiaodian Cheng; Han Tian; Hao Wang 116; Kai Chen 005 (APNet, 2022)

Spine: an efficient DRL-based congestion control with ultra-low overhead. - Han Tian; Xudong Liao; Chaoliang Zeng; Junxue Zhang 001; Kai Chen 005 (CoNEXT, 2022)

Tiara: A Scalable and Efficient Hardware Acceleration Architecture for Stateful Layer-4 Load Balancing. - Chaoliang Zeng; Layong Luo; Teng Zhang; Zilong Wang 007; Luyang Li; Wenchen Han; Nan Chen; Lebing Wan; Lichao Liu; Zhipeng Ding; Xiongfei Geng; Tao Feng; et al. (NSDI, 2022)

FAERY: An FPGA-accelerated Embedding-based Retrieval System. - Chaoliang Zeng; Layong Luo; Qingsong Ning; Yaodong Han; Yuhang Jiang; Ding Tang; Zilong Wang 007; Kai Chen 005; Chuanxiong Guo (OSDI, 2022)

LiteFlow: towards high-performance adaptive neural networks for kernel datapath. - Junxue Zhang 001; Chaoliang Zeng; Hong Zhang 025; Shuihai Hu; Kai Chen 005 (SIGCOMM, 2022)

Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud. - Han Tian; Chaoliang Zeng; Zhenghang Ren; Di Chai; Junxue Zhang 001; Kai Chen 005; Qiang Yang 001 (SP, 2022)

Scaling Switch-driven Flow Control with Aquarius. - Wenxue Li; Chaoliang Zeng; Jinbin Hu; Kai Chen 005 (APNet, 2023)

Accurate and Scalable Rate Limiter for RDMA NICs. - Zilong Wang 007; Xinchen Wan; Chaoliang Zeng; Kai Chen 005 (APNet, 2023)

Enabling Load Balancing for Lossless Datacenters. - Jinbin Hu; Chaoliang Zeng; Zilong Wang 007; Junxue Zhang 001; Kun Guo 003; Hong Xu 001; Jiawei Huang 001; Kai Chen 005 (ICNP, 2023)

Towards Fine-Grained and Practical Flow Control for Datacenter Networks. - Wenxue Li; Chaoliang Zeng; Jinbin Hu; Kai Chen 005 (ICNP, 2023)

SRNIC: A Scalable Architecture for RDMA NICs. - Zilong Wang 007; Layong Luo; Qingsong Ning; Chaoliang Zeng; Wenxue Li; Xinchen Wan; Peng Xie; Tao Feng; Ke Cheng; Xiongfei Geng; Tianhao Wang 025; Weicheng Ling; et al. (NSDI, 2023)

Gleam: An RDMA-accelerated Multicast Protocol for Datacenter Networks. - Wenxue Li; Junyi Zhang 005; Gaoxiong Zeng; Yufei Liu; Zilong Wang 007; Chaoliang Zeng; Pengpeng Zhou; Qiaoling Wang; Kai Chen 005 (CoRR, 2023)

Astraea: Towards Fair and Efficient Learning-based Congestion Control. - Xudong Liao; Han Tian; Chaoliang Zeng; Xinchen Wan; Kai Chen 005 (EuroSys, 2024)

Cepheus: Accelerating Datacenter Applications with High-Performance RoCE-Capable Multicast. - Wenxue Li; Junyi Zhang 005; Yufei Liu; Gaoxiong Zeng; Zilong Wang 007; Chaoliang Zeng; Pengpeng Zhou; Qiaoling Wang; Kai Chen 005 (HPCA, 2024)

Accelerating Neural Recommendation Training with Embedding Scheduling. - Chaoliang Zeng; Xudong Liao; Xiaodian Cheng; Han Tian; Xinchen Wan; Hao Wang 116; Kai Chen 005 (NSDI, 2024)

Accelerating Secure Collaborative Machine Learning with Protocol-Aware RDMA. - Zhenghang Ren; Mingxuan Fan; Zilong Wang 007; Junxue Zhang 001; Chaoliang Zeng; Zhicong Huang; Cheng Hong 001; Kai Chen 005 (USENIX Security Symposium, 2024)

Towards Fair and Efficient Learning-based Congestion Control. - Xudong Liao; Han Tian; Chaoliang Zeng; Xinchen Wan; Kai Chen 005 (CoRR, 2024)

LiteFlow: Toward High-Performance Adaptive Neural Networks for Kernel Datapath. - Junxue Zhang 001; Chaoliang Zeng; Hong Zhang 025; Shuihai Hu; Kai Chen 005 (IEEE/ACM Trans. Netw., 2024)

Load Balancing With Multi-Level Signals for Lossless Datacenter Networks. - Jinbin Hu; Chaoliang Zeng; Zilong Wang 007; Junxue Zhang 001; Kun Guo 003; Hong Xu 001; Jiawei Huang 001; Kai Chen 005 (IEEE/ACM Trans. Netw., 2024)

Efficient DRL-Based Congestion Control With Ultra-Low Overhead. - Han Tian; Xudong Liao; Chaoliang Zeng; Decang Sun; Junxue Zhang 001; Kai Chen 005 (IEEE/ACM Trans. Netw., 2024)

FlowSail: Fine-Grained and Practical Flow Control for Datacenter Networks. - Wenxue Li; Chaoliang Zeng; Jinbin Hu; Kai Chen 005 (IEEE/ACM Trans. Netw., 2024)

Achieving Fairness Generalizability for Learning-based Congestion Control with Jury. - Han Tian; Xudong Liao; Decang Sun; Chaoliang Zeng; Yilun Jin; Junxue Zhang 001; Xinchen Wan; Zilong Wang 007; Yong Wang 046; Kai Chen 005 (EuroSys, 2025)

A Generic and Efficient Communication Framework for Message-Level In-Network Computing. - Xinchen Wan; Luyang Li; Han Tian; Xudong Liao; Xinyang Huang; Chaoliang Zeng; Zilong Wang 007; Xinyu Yang; Ke Cheng; Qingsong Ning; Guyue Liu; Layong Luo; et al. (INFOCOM, 2025)

Towards Optimal Rack-scale μs-level CPU Scheduling through In-Network Workload Shaping. - Xudong Liao; Han Tian; Xinchen Wan; Chaoliang Zeng; Hao Wang 116; Junxue Zhang 001; Mengyu Ma; Guyue Liu; Kai Chen 005 (USENIX ATC, 2025)