A New Digital Proxy Signature Scheme Based on ECDLP. - Chengming Qi; Xusheng Chen (CIS (1), 2009)

APUS: fast and scalable paxos on RDMA. - Cheng Wang 021; Jianyu Jiang; Xusheng Chen; Ning Yi; Heming Cui (SoCC, 2017)

A Fast, General Storage Replication Protocol for Active-Active Virtual Machine Fault Tolerance. - Cheng Wang 021; Xusheng Chen; Zixu Wang; Youwei Zhu; Heming Cui (ICPADS, 2017)

PLOVER: Fast, Multi-core Scalable Virtual Machine Fault-tolerance. - Cheng Wang 021; Xusheng Chen; Weiwei Jia 001; Boxuan Li; Haoran Qiu; Shixiong Zhao; Heming Cui (NSDI, 2018)

Effectively Mitigating I/O Inactivity in vCPU Scheduling. - Weiwei Jia 001; Cheng Wang 021; Xusheng Chen; Jianchen Shan; Xiaowei Shang; Heming Cui; Xiaoning Ding; Luwei Cheng; Francis C. M. Lau 001; Yuexuan Wang; Yuangang Wang (USENIX ATC, 2018)

GEEC: Scalable, Efficient, and Consistent Consensus for Blockchains. - Xusheng Chen; Shixiong Zhao; Cheng Wang 021; Senran Zhang; Heming Cui (CoRR, 2018)

Fulva: Efficient Live Migration for In-Memory Key-Value Stores with Zero Downtime. - Jiewen Hai; Cheng Wang 021; Xusheng Chen; Tsz On Li; Heming Cui; Sen Wang 004 (SRDS, 2019)

Uranus: Simple, Efficient SGX Programming and its Applications. - Jianyu Jiang; Xusheng Chen; Tsz On Li; Cheng Wang 021; Tianxiang Shen; Shixiong Zhao; Heming Cui; Cho-Li Wang; Fengwei Zhang (AsiaCCS, 2020)

UPA: An Automated, Accurate and Efficient Differentially Private Big-Data Mining System. - Tsz On Li; Jianyu Jiang; Ji Qi 002; Chi Chiu So; Jiacheng Ma 003; Xusheng Chen; Tianxiang Shen; Heming Cui; Yuexuan Wang; Peng Wang 070 (DSN, 2020)

HAMS: High Availability for Distributed Machine Learning Service Graphs. - Shixiong Zhao; Xusheng Chen; Cheng Wang 021; Fanxin Li; Qi Ji; Heming Cui; Cheng Li 001; Sen Wang 004 (DSN, 2020)

Achieving low tail-latency and high scalability for serializable transactions in edge computing. - Xusheng Chen; Haoze Song; Jianyu Jiang; Chaoyi Ruan; Cheng Li 001; Sen Wang 004; Gong Zhang 001; Reynold Cheng; Heming Cui (EuroSys, 2021)

Bidl: A High-throughput, Low-latency Permissioned Blockchain Framework for Datacenter Networks. - Ji Qi 002; Xusheng Chen; Yunpeng Jiang; Jianyu Jiang; Tianxiang Shen; Shixiong Zhao; Sen Wang 004; Gong Zhang 001; Li Chen 008; Man Ho Au; Heming Cui (SOSP, 2021)

NASPipe: high performance and reproducible pipeline parallel supernet training via causal synchronous parallelism. - Shixiong Zhao; Fanxin Li; Xusheng Chen; Tianxiang Shen; Li Chen 008; Sen Wang 004; Nicholas Zhang; Cheng Li 001; Heming Cui (ASPLOS, 2022)

ROG: A High Performance and Robust Distributed Training System for Robotic IoT. - Xiuxian Guan; Zekai Sun; Shengliang Deng; Xusheng Chen; Shixiong Zhao; Zongyuan Zhang; Tianyang Duan; Yuexuan Wang; Chenshu Wu; Yong Cui 001; Libo Zhang 001; Yanjun Wu; et al. (MICRO, 2022)

CRONUS: Fault-isolated, Secure and High-performance Heterogeneous Computing for Trusted Execution Environment. - Jianyu Jiang; Ji Qi 002; Tianxiang Shen; Xusheng Chen; Shixiong Zhao; Sen Wang 004; Li Chen 008; Gong Zhang 001; Xiapu Luo; Heming Cui (MICRO, 2022)

SOTER: Guarding Black-box Inference for General Neural Networks at the Edge. - Tianxiang Shen; Ji Qi 002; Jianyu Jiang; Xian Wang; Siyuan Wen; Xusheng Chen; Shixiong Zhao; Sen Wang 004; Li Chen 008; Xiapu Luo; Fengwei Zhang; Heming Cui (USENIX ATC, 2022)

Efficient and DoS-resistant Consensus for Permissioned Blockchains. - Xusheng Chen; Shixiong Zhao; Ji Qi 002; Jianyu Jiang; Haoze Song; Cheng Wang 021; Tsz On Li; T.-H. Hubert Chan; Fengwei Zhang; Xiapu Luo; Sen Wang 004; Gong Zhang 001; et al. (SIGMETRICS Perform. Evaluation Rev., 2022)

DAENet: Making Strong Anonymity Scale in a Fully Decentralized Network. - Tianxiang Shen; Jianyu Jiang; Yunpeng Jiang; Xusheng Chen; Ji Qi 002; Shixiong Zhao; Fengwei Zhang; Xiapu Luo; Heming Cui (IEEE Trans. Dependable Secur. Comput., 2022)

vPipe: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training. - Shixiong Zhao; Fanxin Li; Xusheng Chen; Xiuxian Guan; Jianyu Jiang; Dong Huang 005; Yuhao Qing; Sen Wang 004; Peng Wang 037; Gong Zhang 001; Cheng Li 001; Ping Luo 002; et al. (IEEE Trans. Parallel Distributed Syst., 2022)

Skadi: Building a Distributed Runtime for Data Systems in Disaggregated Data Centers. - Cunchen Hu; Chenxi Wang 005; Sa Wang; Ninghui Sun; Yungang Bao; Jieru Zhao; Sanidhya Kashyap; Pengfei Zuo; Xusheng Chen; Liangliang Xu; Qin Zhang; Hao Feng; et al. (HotOS, 2023)

Degradation Modelling and Remaining Useful Life Prediction Methods Based on Time Series Generative Prediction Networks. - Xusheng Chen; Wanjun Hou; Yizhen Peng (NCAA (2), 2023)

A Geography-Based P2P Overlay Network for Fast and Robust Blockchain Systems. - Haoran Qiu; Tao Ji; Shixiong Zhao; Xusheng Chen; Ji Qi 002; Heming Cui; Sen Wang 004 (IEEE Trans. Serv. Comput., 2023)

Coorp: Satisfying Low-Latency and High-Throughput Requirements of Wireless Network for Coordinated Robotic Learning. - Shengliang Deng; Xiuxian Guan; Zekai Sun; Shixiong Zhao; Tianxiang Shen; Xusheng Chen; Tianyang Duan; Yuexuan Wang; Jia Pan 001; Yanjun Wu; Libo Zhang 001; Heming Cui (IEEE Internet Things J., 2023)

Fold3D: Rethinking and Parallelizing Computational and Communicational Tasks in the Training of Large DNN Models. - Fanxin Li; Shixiong Zhao; Yuhao Qing; Xusheng Chen; Xiuxian Guan; Sen Wang 004; Gong Zhang 001; Heming Cui (IEEE Trans. Parallel Distributed Syst., 2023)

Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads. - Cunchen Hu; Heyang Huang; Liangliang Xu; Xusheng Chen; Jiang Xu; Shuang Chen; Hao Feng; Chenxi Wang 005; Sa Wang; Yungang Bao; Ninghui Sun; Yizhou Shan (CoRR, 2024)

CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference. - Suyi Li 002; Hanfeng Lu; Tianyuan Wu; Minchen Yu; Qizhen Weng; Xusheng Chen; Yizhou Shan; Binhang Yuan; Wei Wang 030 (CoRR, 2024)

The CAP Principle for LLM Serving: A Survey of Long-Context Large Language Model Serving. - Pai Zeng; Zhenyu Ning; Jieru Zhao; Weihao Cui; Mengwei Xu; Liwei Guo; Xusheng Chen; Yizhou Shan (CoRR, 2024)

MemServe: Context Caching for Disaggregated LLM Serving with Elastic Memory Pool. - Cunchen Hu; Heyang Huang; Junhao Hu; Jiang Xu; Xusheng Chen; Tao Xie 001; Chenxi Wang 005; Sa Wang; Yungang Bao; Ninghui Sun; Yizhou Shan (CoRR, 2024)

EPIC: Efficient Position-Independent Context Caching for Serving Large Language Models. - Junhao Hu; Wenrui Huang; Haoyi Wang; Weidong Wang; Tiancheng Hu; Qin Zhang; Hao Feng; Xusheng Chen; Yizhou Shan; Tao Xie 001 (CoRR, 2024)

RaaS: Reasoning-Aware Attention Sparsity for Efficient LLM Reasoning. - Junhao Hu; Wenrui Huang; Weidong Wang; Zhenwen Li; Tiancheng Hu; Zhixia Liu; Xusheng Chen; Tao Xie; Yizhou Shan (ACL (Findings), 2025)

Toppings: CPU-Assisted, Rank-Aware Adapter Serving for LLM Inference. - Suyi Li 002; Hanfeng Lu; Tianyuan Wu; Minchen Yu; Qizhen Weng; Xusheng Chen; Yizhou Shan; Binhang Yuan; Wei Wang 030 (USENIX ATC, 2025)

DEEPSERVE: Serverless Large Language Model Serving at Scale. - Junhao Hu; Jiang Xu; Zhixia Liu; Yulong He; Yuetao Chen; Hao Xu; Jiang Liu; Jie Meng; Baoquan Zhang; Shining Wan; Gengyuan Dan; Zhiyu Dong; et al. (USENIX ATC, 2025)

Perseus: Achieving Strong Consistency and High Data Freshness for Scalable Geo-distributed HTAP. - Haoze Song; Xusheng Chen; Ruijie Gong; Zekai Sun; Tianxiang Shen; Cheng Li 001; Hao Feng; Sen Wang 004; Heming Cui (Proc. ACM Manag. Data, 2025)

Slarm: SLA-Aware, Reliable and Efficient Transaction Dissemination for Permissioned Blockchains. - Ji Qi 002; Tianxiang Shen; Jianyu Jiang; Xusheng Chen; Xiapu Luo; Fengwei Zhang; Heming Cui (IEEE Trans. Serv. Comput., 2025)

DeepFlow: Serverless Large Language Model Serving at Scale. - Junhao Hu; Jiang Xu; Zhixia Liu; Yulong He; Yuetao Chen; Hao Xu; Jiang Liu; Baoquan Zhang; Shining Wan; Gengyuan Dan; Zhiyu Dong; Zhihao Ren; et al. (CoRR, 2025)

Hecate: Unlocking Efficient Sparse Model Training via Fully Sharded Sparse Data Parallelism. - Yuhao Qing; Guichao Zhu; Fanxin Li; Lintian Lei; Zekai Sun; Xiuxian Guan; Shixiong Zhao; Xusheng Chen; Dong Huang 005; Sen Wang 004; Heming Cui (CoRR, 2025)

Efficient Long-Decoding Inference with Reasoning-Aware Attention Sparsity. - Junhao Hu; Wenrui Huang; Weidong Wang; Zhenwen Li; Tiancheng Hu; Zhixia Liu; Xusheng Chen; Tao Xie 001; Yizhou Shan (CoRR, 2025)

K2: On Optimizing Distributed Transactions in a Multi-region Data Store with True-time Clocks. - Haoze Song; Yongqi Wang; Xusheng Chen; Hao Feng; Yazhi Feng; Xieyun Fang; Heming Cui; Linghe Kong (Proc. VLDB Endow., 2025)

K2: On Optimizing Distributed Transactions in a Multi-region Data Store with TrueTime Clocks (Extended Version). - Haoze Song; Yongqi Wang; Xusheng Chen; Hao Feng; Yazhi Feng; Xieyun Fang; Heming Cui; Linghe Kong (CoRR, 2025)

Optimizing SLO-oriented LLM Serving with PD-Multiplexing. - Weihao Cui; Yukang Chen; Han Zhao 005; Ziyi Xu; Quan Chen 002; Xusheng Chen; Yangjie Zhou 001; Shixuan Sun; Minyi Guo (CoRR, 2025)

Efficient Serving of LLM Applications with Probabilistic Demand Modeling. - Yifei Liu; Zuo Gan; Zhenghao Gan; Weiye Wang; Chen Chen 067; Yizhou Shan; Xusheng Chen; Zhenhua Han; Yifei Zhu 001; Shixuan Sun; Minyi Guo (CoRR, 2025)

ShuffleInfer: Disaggregate LLM Inference for Mixed Downstream Workloads. - Cunchen Hu; Heyang Huang; Liangliang Xu; Xusheng Chen; Chenxi Wang 005; Jiang Xu; Shuang Chen; Hao Feng; Sa Wang; Yungang Bao; Ninghui Sun; Yizhou Shan (ACM Trans. Archit. Code Optim., 2025)

xDeepServe: Model-as-a-Service on Huawei CloudMatrix384. - Ao Xiao; Bangzheng He; Baoquan Zhang; Baoxing Huai; Bingji Wang; Bo Wang; Bo Xu; Boyi Hou; Chan Yang; Changhong Liu; Cheng Cui; Chenyu Zhu; et al. (CoRR, 2025)

PipeMesh: Achieving Memory-Efficient Computation-Communication Overlap for Training Large Language Models. - Fanxin Li; Shixiong Zhao; Yuhao Qing; Jianyu Jiang; Xusheng Chen; Heming Cui (IEEE Trans. Parallel Distributed Syst., 2025)