Publications

Google Scholar
* represents my supervised students

2026:

• Constraint-Driven Evolution of Multimodal Video Intelligence: A Network and System Perspective
  Xuzhao Li, Xuchen Li, Shiyu Hu, Zhaorui Zhang, Kang Hao Cheong
  IEEE Transactions on Network Science and Engineering, (TNSE’ 26), 2026

• SGA-GNN: Semantic-Guided Adaptive Graph Neural Network for Cold-Start Multimodal Recommendation
  Jialin Liu*, Zhaorui Zhang, Ray C. C. Cheung
  IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP’ 26), 2026
  (CCF-B Conference for AI System)

• DeepEBC: Compressing the Pre-Trained LLMs with Error-Bounded Lossy Compression
  Jiaqi Xu*, Zhaorui Zhang, Gaolin Wei*, Sheng Di, Benben Liu, Xiaodong Yu, Xiaoyi Lu
  2026 The International Conference on High Performance Computing in Asia-Pacific Region (HPCAsia) & The SupercomputingAsia (SCA), (SCA/HPCAsia’26), 2026
  (CCF-C Conference for High Performance Computing and Supercomputing)

• MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommender Systems
  Jialin Liu*, Zhaorui Zhang, Ray C. C. Cheung
  The 40th Annual AAAI Conference on Artificial Intelligence, (AAAI’ 26), 2026
  (CCF-A Conference for AI System)

2025:

Publications:

• FastREI: Fast Rare Event Identification on X-ray Data with Cross-Stage Optimizations
  Ziyu Hu, Jiamin Wang, Zhiqing Zhong, Weijian Zheng, Hemant Sharma, Jun-Sang Park, Peter Kenesei, Antonino Miceli, Zhaorui Zhang, Rajkumar Kettimuthu, and Xiaodong Yu
  2025 IEEE International Conference on Big Data, 2025
  (CCF-C Conference for Big Data Systems)

• TensorNTT: Architecture-Aware Optimizations for Number-Theoretic Transform on Tensor Core Unit
  Xiangkai Yin, Shuoyu Wang, Zhaorui Zhang, Zimeng Zhou, Lei Ju, and Zhuoran Ji
  2025 IEEE International Conference on Big Data, 2025
  (CCF-C Conference for Big Data Systems)

• Compression Error Sensitivity Analysis for Different Experts in MoE Model Inference
  Songkai Ma*, Zhaorui Zhang, Sheng Di, Benben Liu, Xiaodong Yu, Xiaoyi Lu, Dan Wang
  The International Conference for High-Performance Computing, Networking, Storage and Analysis, DRBSD Workshop, (SC’25), 2025
  (CCF-A Conference for High-Performance Computing)

• Can Lossy Compression Benefit NVMe-based I/O?
  Darren Ng, Sheng Di Duo Zhang, Zhaorui Zhang, Xiaoyi Lu
  The International Conference for High-Performance Computing, Networking, Storage and Analysis, Poster, (SC’25), 2025
  (CCF-A Conference for High-Performance Computing)

• A Dynamic Virtual Memory Management System for LLMs on AI Chips (GPUs)
  Gaolin Wei*, Zhaorui Zhang, Jiaqi Xu*, Chen Zhang, Benben Liu, Xin Yao
  The 43rd IEEE International Conference on Computer Design (ICCD), 2025
  (CCF-B Conference for Computer Systems)

• FedEFsz: Fair Cross-Silo Federated Learning System with Error-Bounded Lossy Compression
  Zhaorui Zhang, Sheng Di, Benben Liu, Zhuoran Ji, Guanpeng Li, Xiaoyi Lu, Amelie Chi Zhou, Khalid Ayed Alharithi, Jiannong Cao
  IEEE Transactions on Parallel and Distributed Systems, Special Section on New Tools and Techniques for the Distributed Computing Continuum (DCC) (TPDS-SS), 2025
  (CCF-A Journal for Distributed and Parallel Systems)

• Ocelot: An Interactive, Efficient Distributed Compression-As-a-Service Platform With Optimized Data Compression Techniques
  Yuanjian Liu, Sheng Di, Jiajun Huang, Zhaorui Zhang, Kyle Chard, Ian Foster
  IEEE Transactions on Parallel and Distributed Systems, Special Section on New Tools and Techniques for the Distributed Computing Continuum (DCC) (TPDS-SS), 2025
  (CCF-A Journal for Distributed and Parallel Systems)

• FedCSpc: A Cross-Silo Federated Learning System with Error-Bounded Lossy Parameter Compression
  Zhaorui Zhang, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Zhuoran Ji, Benben Liu, Khalid Ayed Alharithi, Jiannong Cao, Franck Cappello
  IEEE Transactions on Parallel and Distributed Systems (TPDS), 2025
  (CCF-A Journal for Distributed and Parallel Systems)

• A Survey on Error-Bounded Lossy Compression for Scientific Datasets
  Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shan, 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 C. Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayed Alharthi, Franck Cappello
  ACM Computing Survey, 2025
  (Impact Factor: 23.8, Ranked 1/143 in Computer Science Theory & Methods)

• Recursive Confidence Training for Pseudo-Labeling Calibration in Semi-Supervised Few-Shot Learning
  Kunlei Jing, Hebo Ma, Lei Wen, Chen Zhang, Zhaorui Zhang, Lionel Ni
  Transactions on Image Processing, (TIP), 2025
  (CCF-A Journal for Image Processing)

• StoreLLM: Energy Efficient Large Language Model Inference with Permanently Pre-stored Attention Matrices
  Dan Wang, Boan Liu, Rui Lu, Zhaorui Zhang, Shuntao Zhu
  The 16th ACM International Conference on Future and Sustainable Energy Systems, (ACM e-Energy), 2025

• REFS: A Novel Framework for Accelerated Receive Encrypted Flow Steering
  Zengxie Ma, Yao Xin, Ning Hu, Tong Li, Zhaorui Zhang, Feng Zhang
  The Computer Journal, 2025

• BLIP-Eye: Vision-Language Pre-training Classification Model for Eye Diseases Using OCT Scans
  Khalid Ayed Alharthi, Saja A Alshahrani, Rasha O Alshahrani, Rahaf A Alshahrani, Ali Alshahrani, Zhaorui Zhang
  International Conference on AI in Medicine and Healthcare, 2025

Preprints:

• CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning, 2025
  Ping Zhang*, Zhaorui Zhang, Sheng Di, Yao Xin, Benben Liu

• HLoRA: Efficient Federated Learning System for LLM Heterogeneous Fine-Tuning, 2025
  Qianli Liu*, Zhaorui Zhang, Xin Yao, Benben Liu

• ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression, 2025
  Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Zhaorui Zhang, Jinyang Liu, Xiaoyi Lu, Ken Raffenetti, Hui Zhou, Kai Zhao, Khalid Alharthi, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur

2024:

• A Compiler-Like Framework for Optimizing Cryptographic Big Integer Multiplication on GPUs
  Zhuoran Ji, Jianyu Zhao, Zhaorui Zhang, Jiming Xu, Shoumeng Yan, Lei Ju
  57th IEEE/ACM International Symposium on Microarchitecture, (Micro’24), 2024
  (CCF-A Conference for Computer Architecture)

• Versatile Datapath Soft Error Detection on the Cheap for HPC Applications
  Yafan Huang, Sheng Di, Zhaorui Zhang, Xiaoyi Lu, Guanpeng Li
  The International Conference for High-Performance Computing, Networking, Storage and Analysis, (SC’24), 2024
  (CCF-A Conference for High-Performance Computing)

• FedFa: A Fully Asynchronous Training Paradigm for Federated Learning
  Haotian Xu*, Zhaorui Zhang, Sheng Di, Benben Liu, Alharthi Khalid, Jiannong Cao
  International Joint Conference on Artificial Intelligence, (IJCAI’24), 2024
  (CCF-A Conference for AI Systems)

• An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression
  Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Zhaorui Zhang, Jinyang Liu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
  38th IEEE International Parallel & Distributed Processing Symposium, (IPDPS’24), 2024
  (CCF-B Conference for Distributed and Parallel Systems)

• Accelerating High-Precision Integer Multiplication used in Cryptosystems with GPUs
  Zhuoran Ji, Zhaorui Zhang, Jiming Xu, Lei Ju
  ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, (PPoPP’24), 2024
  (CCF-A Conference for Distributed and Parallel Systems)

2023 and Before:

• MIPD: An Adaptive Gradient Sparsification Framework for Distributed DNNs Training
  Zhaorui Zhang, Cho-Li Wang
  IEEE Transactions on Parallel and Distributed Systems (TPDS), 2022
  (CCF-A Journal for Distributed and Parallel Systems)

• Momentum-Driven Adaptive Synchronization Model for Distributed DNN Training on HPC Clusters
  Zhaorui Zhang, Zhuoran Ji, Cho-Li Wang
  Journal of Parallel and Distributed Computing (JPDC), 2022
  (CCF-B Journal for Distributed and Parallel Systems)

• Efficient Parameter Update Strategy for Distributed Deep Learning Systems Zhaorui Zhang
  HKU Theses Online (HKUTO), 2021

• SaPus: Self-Adaptive Parameter Update Strategy for DNN Training on Multi-GPU Clusters
  Zhaorui Zhang, Cho-Li Wang
  IEEE Transactions on Parallel and Distributed Systems (TPDS), 2021
  (CCF-A Journal for Distributed and Parallel Systems)

• Development Report on National High-Performance Computing Environment
  Xuebin Chi, Liping Liu, Yangang Wang, Zhaorui Zhang, etc.
  Book, published by Science Press

• FPGA-based High-Performance Collision Detection: An Enabling Technique for Image-Guided Robotic Surgery
  Zhaorui Zhang, Xin Y, Liu B, Li WXY, Lee K.H., Ng C.F., Stoyanov D, Cheung RCC, Kwok KW
  Frontiers in Robotics and AI

• An Application Specific Instruction Set Processor (ASIP) for Adaptive Filters in Neural Prosthetics
  Yao Xin, Will X. Y. Li, Zhaorui Zhang, Ray C. C. Cheung, Dong Song, Theodore W. Berger
  IEEE/ACM Transactions on Computational Biology and Bioinformatics, (TCBB)