Publications

Journal and conference papers, workshop papers, and my doctoral dissertation. See also Google Scholar.

* denotes equal contribution.

2026

IPDPS'26

Near-Zero Cost KV Cache Compression for Large Language Model Inference

Boyuan Zhang, Ding Zhou, Yafan Huang, Shihui Song, Hao Feng, Jinda Jia, Chengming Zhang, Zhi Zhang.

2026 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 612–625, 2026.

IPDPS'26

Accelerating AI Compression through Lightweight Lossless Encoding and Pipelined Workflows

Boyuan Zhang, Luanzheng Guo, Jiannan Tian, Jinyang Liu, Daoce Wang, Chengming Zhang, Bo Fang, Fengguang Song, Jan Strube, Nathan R. Tallent, Dingwen Tao.

2026 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 584–597, 2026.

ICS'26

GPZ: GPU-Accelerated Lossy Compressor for Particle Data

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, Kai Zhao.

Proceedings of the 40th ACM International Conference on Supercomputing, pp. 637–649, 2026.

CVPR'26

Event-VStream: Event-Driven Real-Time Understanding for Long Video Streams

Zhenghui Guo, Yuanbin Man, Junyuan Sheng, Bowen Lin, Ahmed Ahmed, Bo Jiang, Boyuan Zhang, Miao Yin, Sian Jin, Omprakash Gnawali, Chengming Zhang.

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 3060–3069, 2026.

Ph.D. Thesis

Scaling HPC and ML Applications Through High-Performance, High-Ratio Data Reduction on GPUs

Boyuan Zhang.

Ph.D. dissertation, Indiana University Bloomington, 2026.

2025

ICS'25Best Paper Runner-Up

BMQSim: Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework

Boyuan Zhang, Bo Fang, Fanjiang Ye, Luanzheng Guo, Fengguang Song, Nathan R. Tallent, Dingwen Tao.

Proceedings of the 39th ACM International Conference on Supercomputing, pp. 689–704, 2025.

ICS'25Best Paper Candidate

Pushing the Limits of GPU Lossy Compression: A Hierarchical Delta Approach

Boyuan Zhang, Yafan Huang, Sheng Di, Fengguang Song, Guanpeng Li, Franck Cappello.

Proceedings of the 39th ACM International Conference on Supercomputing, pp. 654–669, 2025.

ICS'25

NeurLZ: An Online Neural Learning-Based Method to Enhance Scientific Lossy Compression

Wenqi Jia, Zhewen Hu, Youyuan Liu, Boyuan Zhang, Jinzhen Wang, Jinyang Liu, Wei Niu, Stavros Kalafatis, Junzhou Huang, Sian Jin, Daoce Wang, Jiannan Tian, Miao Yin.

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

SC'25

STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data

Daoce Wang, Pascal Grosset, Jesus Pulido, Jiannan Tian, Tushar M. Athawale, Jinda Jia, Baixi Sun, Boyuan Zhang, Sian Jin, Kai Zhao, James Ahrens, Fengguang Song.

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pp. 2038–2055, 2025.

PPoPP'25

COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers

Baixi Sun, Weijin Liu, J. Gregory Pauloski, Jiannan Tian, Jinda Jia, Daoce Wang, Boyuan Zhang, Mingkai Zheng, Sheng Di, Sian Jin, Zhao Zhang, Xiaodong Yu, Kamil A. Iskra, Pete Beckman, Guangming Tan, Dingwen Tao.

Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, pp. 212–224, 2025.

PPoPP'25 Poster

High-Performance Visual Semantics Compression for AI-Driven Science

Boyuan Zhang, Luanzheng Guo, Jiannan Tian, Jinyang Liu, Daoce Wang, Fanjiang Ye, Chengming Zhang, Jan Strube, Nathan R. Tallent, Dingwen Tao.

Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, pp. 557–559, 2025.

ACM CSUR

A Survey on Error-Bounded Lossy Compression for Scientific Datasets

Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, MD Hasanur Rahman, Boyuan Zhang, Shihui Song, Jon Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Alharthi, Franck Cappello.

ACM Computing Surveys, 57(11), pp. 1–38, 2025.

FGCS

Multifacets of Lossy Compression for Scientific Data in the Joint-Laboratory of Extreme Scale Computing

Franck Cappello, Mario Acosta, Emmanuel Agullo, Hartwig Anzt, Jon Calhoun, Sheng Di, Luc Giraud, Thomas Grützmacher, Sian Jin, Kentaro Sano, Kento Sato, Amarjit Singh, Dingwen Tao, Jiannan Tian, Tomohiro Ueno, Robert Underwood, Frédéric Vivien, Xavier Yepes, Yoshii Kazutomo, Boyuan Zhang.

Future Generation Computer Systems, 163, article 107323, 2025.

2024

SC'24

Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression

Hao Feng*, Boyuan Zhang*, Fanjiang Ye, Min Si, Ching-Hsiang Chu, Jiannan Tian, Chunxing Yin, Summer Deng, Yuchen Hao, Pavan Balaji, Tong Geng, Dingwen Tao.

SC24: International Conference for High Performance Computing, Networking, Storage and Analysis, pp. 1–16, 2024.

SC'24

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

Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Robert Underwood, Yafan Huang, Jiajun Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello.

SC24: International Conference for High Performance Computing, Networking, Storage and Analysis, pp. 1–15, 2024.

DAC'24

MASC: A Memory-Efficient Adjoint Sensitivity Analysis through Compression Using Novel Spatiotemporal Prediction

Chenxi Li, Boyuan Zhang, Yongqiang Duan, Yang Li, Zuochang Ye, Weifeng Liu, Dingwen Tao, Zhou Jin.

Proceedings of the 61st ACM/IEEE Design Automation Conference, pp. 1–6, 2024.

2023

HPDC'23

FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs

Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello.

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, pp. 129–142, 2023.

ICS'23

GPULZ: Optimizing LZSS Lossless Compression for Multi-Byte Data on Modern GPUs

Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello.

Proceedings of the 37th International Conference on Supercomputing, pp. 348–359, 2023.

QCCC'23

HQ-Sim: High-Performance State Vector Simulation of Quantum Circuits on Heterogeneous HPC Systems

Boyuan Zhang, Bo Fang, Qiang Guan, Ang Li, Dingwen Tao.

Proceedings of the 2023 International Workshop on Quantum Classical Cooperative, pp. 1–4, 2023.

SC'23 Workshops

MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation