Towards Stateless RNIC for Data Center Networks. - Pulin Pan; Guo Chen 001; Xizheng Wang; Huichen Dai; Bojie Li; Binzhang Fu; Kun Tan (APNet, 2019)

StaR: Breaking the Scalability Limit for RDMA. - Xizheng Wang; Guo Chen 001; Xijin Yin; Huichen Dai; Bojie Li; Binzhang Fu; Kun Tan (ICNP, 2021)

sRDMA: A General and Low-Overhead Scheduler for RDMA. - Xizheng Wang; Shuai Wang 028; Dan Li 001 (APNet, 2023)

Demo: NetVision: Efficient Visualization Front-End for Packet-level Discrete-Event Network Simulation. - Kaihui Gao; Li Chen 008; Dan Li 001; Vincent Liu 001; Xizheng Wang; Ran Zhang; Lu Lu 016 (SIGCOMM, 2023)

DONS: Fast and Affordable Discrete Event Network Simulation with Automatic Parallelization. - Kaihui Gao; Li Chen 008; Dan Li 001; Vincent Liu 001; Xizheng Wang; Ran Zhang; Lu Lu 016 (SIGCOMM, 2023)

An Empirical Study of NetOps Capability of Pre-Trained Large Language Models. - Yukai Miao; Yu Bai 021; Li Chen 008; Dan Li 001; Haifeng Sun 001; Xizheng Wang; Ziqiu Luo; Yanyu Ren; Dapeng Sun; Xiuting Xu; Qi Zhang; Chao Xiang; et al. (CoRR, 2023)

NP-RDMA: Using Commodity RDMA without Pinning Memory. - Huijun Shen; Guo Chen 001; Bojie Li; Xingtong Lin; Xingyu Zhang; Xizheng Wang; Amit Geron; Shamir Rabinovitch; Haifeng Lin; Han Ruan; Lijun Li; Jingbin Zhou; et al. (CoRR, 2023)

Research on Trajectory Planning of Autonomous Vehicles in Constrained Spaces. - Yunlong Li; Gang Li; Xizheng Wang (Sensors, 2024)

Resolving Packets from Counters: Enabling Multi-scale Network Traffic Super Resolution via Composable Large Traffic Model. - Xizheng Wang; Libin Liu 001; Li Chen 008; Dan Li 001; Yukai Miao; Yu Bai 021 (NSDI, 2025)

SimAI: Unifying Architecture Design and Performance Tuning for Large-Scale Large Language Model Training with Scalability and Precision. - Xizheng Wang; Qingxu Li; Yichi Xu; Gang Lu; Dan Li 001; Li Chen 008; Heyang Zhou; Linkang Zheng; Sen Zhang; Yikai Zhu; Yang Liu; Pengcheng Zhang; et al. (NSDI, 2025)