刘锦阳-上海交通大学计算机学院（网络空间安全学院、密码学院）

个人简介

刘锦阳于2026年3月加入上海交通大学计算机学院先进计算研究所，担任长聘教轨副教授。他于2024年在美国加利福尼亚大学河滨分校获得计算机科学博士学位，本科和硕士毕业于北京大学，曾于2024至2026年间于美国休斯敦大学计算机系担任助理教授一职，入选了国家级高层次青年人才计划（海外）和上海市海外高层次青年人才计划。刘锦阳长期致力于高性能计算与科学智能（AI for Science, AI4S）方面的研究，在大规模科学计算和科学数据压缩等研究课题上取得了众多研究成果。他共发表CCF-A/B类论文近30篇（包括SIGMOD、VLDB、SC、PPoPP、ICDE、HPDC、ICS、TPDS等），所发论文曾获得PPoPP、HPDC、ICS等会议的最佳论文提名，并受邀担任PPoPP、ICS、Cluster、ICDCS等会议的程序委员会成员及TPDS、THPC等期刊的审稿人。更多信息详见个人主页：jliu-1.github.io。

教育背景

美国加利福尼亚大学河滨分校计算机科学博士

北京大学数据科学硕士

北京大学数学与应用数学学士

工作履历

2026.3 - 现在上海交通大学计算机学院长聘教轨副教授

2024.9 - 2026.3 美国休斯敦大学计算机系助理教授

教授课程

程序设计思想与方法（C++），2026秋

计算机系统结构实验（强化），2026秋

论文发表

会议发表：

[PPoPP '27] Bing Lu, Jinyang Liu+, Xinyang Ma, Quantong Fu, Chenwei Hou, Zedong Liu, Wenjing Huang, Yida Gu, Xingchen Liu, Zheng Wei, Angbang Wu, Xiaofeng Hou, Chao Li, Guangming Tan, Minyi Guo, and Dingwen Tao. “Falcons: Pushing the Speed-Ratio Limits of Lossy Compression for Parallel Scientific Applications.” The 32nd ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP), 2027. (+: Corresponding author)

[DRBSD '25] Ziwei Qiu, Jinyang Liu+, Kai Zhao, Robert Underwood, and Sheng Di. “Benchmarking Cutting-Edge Scientific Error-Bounded Lossy Compressors on Correlation-Based Rate-Distortion.” Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC Workshops), pp. 324-331, 2025. (+: Corresponding author)

[SC '25] Shixun Wu*, Jinwen Pan*, Jinyang Liu+, Jiannan Tian, Ziwei Qiu, Jiajun Huang, Kai Zhao, Xin Liang, Sheng Di, Zizhong Chen, and Franck Cappello.

“Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration.”

2025 SC25: International Conference for High Performance Computing, Networking, Storage and Analysis (SC). (*: Co-first authors, +: Corresponding author)

[VLDB '25] Jinyang Liu*, Pu Jiao*, Kai Zhao, Xin Liang, Sheng Di, and Franck Cappello.

“QPET: A Versatile and Portable Quantity-of-Interest-Preservation Framework for Error-Bounded Lossy Compression.”

Proceedings of the VLDB Endowment, Volume 18, Issue 8, pp. 2440-2453, 2025. (*: Co-first authors)

[SC '24] Jinyang Liu*, Jiannan Tian*, Shixun Wu*, Sheng Di, Boyuan Zhang, Robert Underwood, Yafan Huang, Jiajun Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, and Franck Cappello.

“CUSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation.”

2024 SC24: International Conference for High Performance Computing, Networking, Storage and Analysis (SC), pp. 158-172. IEEE Computer Society, 2024. (*: Co-first authors)

[SIGMOD '24] Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, and Franck Cappello.

“High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation.”

Proceedings of the ACM on Management of Data 2, no. 1 (2024): 1-27.

[ICS '23 (Best Paper Nomination)]

Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, and Franck Cappello.

“FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data.”

Proceedings of the 37th International Conference on Supercomputing, pp. 1-13. 2023.

[SC '22] Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, and Franck Cappello.

“Dynamic quality metric oriented error bounded lossy compression for scientific datasets.”

SC22: International Conference for High Performance Computing, Networking, Storage and Analysis, pp. 1-15. IEEE, 2022.

[BigData '23] Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, and Franck Cappello.

“Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.”

2023 IEEE International Conference on Big Data (BigData), pp. 229-236. IEEE Computer Society, 2023.

[Cluster '21] Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, and Franck Cappello.

“Exploring autoencoder-based error-bounded compression for scientific data.”

2021 IEEE International Conference on Cluster Computing (CLUSTER), pp. 294-306. IEEE, 2021.

[SIGCOMM '26] Zedong Liu, Xinyang Ma, Dejun Luo, Hairui Zhao, Bing Lu, Wenjing Huang, Yida Gu, Xingchen Liu, Zheng Wei, Jinyang Liu, Dingwen Tao, and Guangming Tan. “KVServe: Service-Aware KV Cache Compression for Communication-Efficient Disaggregated LLM Serving.” Proceedings of the ACM SIGCOMM 2026 Conference (SIGCOMM), pp. 1-15, 2026.

[HPDC '26] Zhuoxun Yang, Ruoyu Li, Amit N. Subrahmanya, Vishwas Rao, Sheng Di, Robert Underwood, Longtao Zhang, Jinyang Liu, Franck Cappello, and Kai Zhao. “TZ: Achieving High-Ratio Scientific Data Compression on GPUs with Global Data Decomposition.” The 35th International Symposium on High-Performance Parallel and Distributed Computing (HPDC), pp. 71-84, 2026.

[HPDC '26] Longtao Zhang, Ruoyu Li, Zhuoxun Yang, Robert Underwood, Sheng Di, Daoce Wang, Jinyang Liu, Jiajun Huang, Franck Cappello, and Kai Zhao. “OPAL: On-demand Progressive Accelerated Scientific Lossy Compression.” The 35th International Symposium on High-Performance Parallel and Distributed Computing (HPDC), pp. 58-70, 2026.

[ICS '26] Ruoyu Li, Yafan Huang, Longtao Zhang, Zhuoxun Yang, Sheng Di, Boyuan Zhang, Jiajun Huang, Jinyang Liu, Jiannan Tian, Guanpeng Li, Fengguang Song, Hanqi Guo, Franck Cappello, and Kai Zhao. “GPZ: GPU-Accelerated Lossy Compressor for Particle Data.” ACM International Conference on Supercomputing (ICS), pp. 637-649, 2026.

[PPoPP '26 (Best Paper Nomination)] Bing Lu, Zedong Liu, Hairui Zhao, Dejun Luo, Wenjing Huang, Yida Gu, Jinyang Liu, Guangming Tan, and Dingwen Tao.

“PRISM: An Efficient GPU-Based Lossy Compression Framework for Progressive Data Retrieval with Multi-Level Interpolation.”

Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, pp. 164-176. 2026.

[HPDC '25 (Best Paper Nomination)] Zhuoxun Yang, Sheng Di, Longtao Zhang, Ruoyu Li, Ximiao Li, Jiajun Huang, Jinyang Liu, Franck Capello, and Kai Zhao.

“IPComp: Interpolation Based Progressive Lossy Compression for Scientific Applications.”

Proceedings of the 34th International Symposium on High-Performance Parallel and Distributed Computing, pp. 1-14. 2025.

[ICS '25] Wenqi Xia, Zewen Hu, Youyuan Liu, Boyuan Zhang, Jinzhen Wang, Jinyang Liu, Wei Niu, Stavros Kalafatis, Junzhou Huang, Sian Jin, Daoce Wang, Jiannan Tian, and Miao Yin.

“NeurLZ: An Online Neural Learning-based Method to Enhance Scientific Lossy Compression.”

Proceedings of the 39th ACM International Conference on Supercomputing, pp. 26-42. 2025.

[IPDPS '25] Pu Jiao, Sheng Di, Mingze Xia, Xuan Wu, Jinyang Liu, Xin Liang, and Franck Capello.

“Improving the Efficiency of Interpolation-Based Scientific Data Compressors with Adaptive Quantization Index Prediction.”

2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 974-986. IEEE, 2025.

[SIGMOD '25] Longtao Zhang, Ruoyu Li, Congrong Ren, Sheng Di, Jinyang Liu, Jiajun Huang, Robert Underwood, Pascal Grosset, Dingwen Tao, Xin Liang, Hanqi Guo, Franck Capello, and Kai Zhao.

“LCP: Enhancing Scientific Data Management with Lossy Compression for Particles.”

Proceedings of the ACM on Management of Data 3, no. 1 (2025): 1-27.

[PPoPP '25] Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Zizhong Chen, and Franck Cappello.

“TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs.”

Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, pp. 70-84. 2025.

[SC '24] Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Zizhe Jian, Xin Liang, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, and Rajeev Thakur.

“hZCCL: Accelerating Collective Communication with Co-Designed Homomorphic Compression.”

2024 SC24: International Conference for High Performance Computing, Networking, Storage and Analysis (SC), pp. 1666-1680. IEEE Computer Society, 2024.

[ICS '24] Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, and Rajeev Thakur.

“gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters.”

Proceedings of the 38th ACM International Conference on Supercomputing, pp. 437-448. 2024.

[IPDPS '24] Zizhe Jian, Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Haiying Xu, Robert Underwood, Shixun Wu, Jiajun Huang, Zizhong Chen, and Franck Cappello.

“CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction.”

2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 417-429. IEEE, 2024.

[IPDPS '24] Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Zhaorui Zhang, Jinyang Liu, Xiaoyi Lu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, and Rajeev Thakur.

“An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression.”

2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 752-764. IEEE, 2024.

[ICDE '24] Mingze Xia, Sheng Di, Franck Cappello, Pu Jiao, Kai Zhao, Jinyang Liu, Xuan Wu, Xin Liang, and Hanqi Guo.

“Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points.”

2024 IEEE 40th International Conference on Data Engineering (ICDE), pp. 4979-4992. IEEE, 2024.

[ICS '23] Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Bryan Wong, and Zizhong Chen.

“Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs.”

Proceedings of the 37th International Conference on Supercomputing, pp. 360-372. 2023.

[ICS '21] Yujia Zhai, Elisabeth Giem, Quan Fan, Kai Zhao, Jinyang Liu, and Zizhong Chen.

“FT-BLAS: a high performance BLAS implementation with online fault tolerance.”

Proceedings of the ACM International Conference on Supercomputing, pp. 127-138. 2021.

期刊发表（节选）：

[CSUR] Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah et al.

“A survey on error-bounded lossy compression for scientific datasets.”

ACM Computing Surveys.

[TPDS] Yujia Zhai, Elisabeth Giem, Kai Zhao, Jinyang Liu, Jiajun Huang, Bryan Wong, Christian Shelton, and Zizhong Chen,

“FT-BLAS: A Fault Tolerant High Performance BLAS Implementation on x86 CPUs.”

IEEE Transactions on Parallel and Distributed Systems.

资助项目

国家自然科学基金优秀青年科学基金项目（海外），《大规模科学数据的管理与压缩》

获奖信息

PPoPP 2026，最佳论文提名

DRBSD 2025，最佳论文提名

HPDC 2025，最佳论文提名

ICS 2023，最佳论文提名

学术服务

Program Committee: ICDM 2026, ICDCS 2026, CCGrid 2026, PPoPP 2026, ICS 2025, Cluster 2025, CCGrid 2025, ICDCS 2025, GPGPU 2025, IWBDR 2023, DRBSD-10/11.

Reviewer: HPCAsia 2027, HiPC 2024, IPDPS 2024, CCGrid 2024, ICS 2023, DCC 2023, HDIS 2022, IWBDR 2022, IWBDR 2023, ICMLA 2021, TPDS, THPC, TOMM.