👨‍🎓 About Me

I am currently working as a Postdoctoral Researcher in the Department of Computer Science and Engineering at The Chinese University of Hong Kong (CUHK), affiliated with the Applied Distributed Systems Lab (ADSLab) and supervised by Prof. Patrick P. C. Lee since July 2026. Previously, I obtained my Ph.D. degree in Computer System Architecture from Huazhong University of Science and Technology (HUST), Wuhan, China, in June 2026. My PhD research was supervised by Prof. Yuchong Hu, and I was a member of the Data Storage and Applications Laboratory (DSAL) led by Prof. Dan Feng. I received my M.S. degree from Sichuan University (SCU) in June 2022 under the supervision of Prof. Min Zhu.

To date, I have contributed to over 14 research papers, 8 of which are published as my first or corresponding author, including ICDE2026, DAC2026, HPDC2025, HPDC2024, EuroPar2025, ACM TACO, CAD&CG, and ICV.

⌛ Research Interests

• Computer System Architecture
• Storage4AI, System4AI
• LLM Systems and Storage
• High-Performance Distributed Training and Inference
• Computer Vision, Person Re-Identification

🔥 News

• 2026.09:  🌻🎉 I served as a member of the China Computer Federation (CCF) Technical Committee on Information Storage (TCIST).
• 2026.08:  🌻🎉 I served as a member of the ATC2026 Artifact Evaluation Committee (AEC), responsible for artifact evaluation and reproducibility review of conference papers.
• 2026.07:  🌻🎉 Our extended paper (ADTopk) has been accepted to ACM TACO: ACM Transactions on Architecture and Code Optimization Journal. I am the first author of this work.
• 2026.06:  🌻🎉 I was awarded the Best Paper Award at the 4th Academic Annual Conference of the School of Computer Science, HUST.
• 2026.05:  🌻🎉 I successfully passed my doctoral dissertation defense in Computer Architecture at HUST.
• 2026.02:  🌻🎉 Our paper AsymCheck has been accepted to DAC2026: The Chips to Systems Conference (The 63rd Design Automation Conference). I am the first author of this work.
• 2026.02:  🌻🎉 I have been appointed as a Reviewer for IEEE Transactions on Networking (TON).
• 2026.01:  🌻🎉 Our project won the Third Prize in the 3nd National Information Storage Competition.
• 2025.10:  🌻🎉 Our paper SSFusion has been accepted to ICDE2026 (The 42st IEEE International Conference on Data Engineering). I am the first author of this work.
• 2025.08:  🌻🎉 I have been invited to serve as a Program Committee Member for the IEEE International Conference on Parallel and Distributed Systems (ICPADS 2025).
• 2025.07:  🌻🎉 I was awarded the HPDC2025 International Conference Travel Award.
• 2025.04:  🌻🎉 Our paper ResiReduce has been accepted to Euro-Par2025 (The 31st International European Conference on Parallel and Distributed Computing). I contributed as the second author.
• 2025.03:  🌻🎉 Our paper SAFusion has been accepted to HPDC2025 (The 34th ACM International Symposium on High-Performance Parallel and Distributed Computing). I am the first author of this work.
• 2025.01:  🌻🎉 I was awarded the Best Paper Award at the 3rd Academic Annual Conference of the School of Computer Science, HUST.
• 2024.12:  🌻🎉 Our project won the First Prize in the 2nd National Information Storage Competition.
• 2024.06:  🌻🎉 I was awarded the HPDC2024 International Conference Travel Award.
• 2024.04:  🌻🎉 Our paper ADTopk has been accepted to HPDC2024 (The 33rd International Symposium on High-Performance Parallel and Distributed Computing). I am the first author of this work.

📝 Publications

• Zhangqiang Ming, Yuchong Hu, Patrick P. C. Lee, Yuanhao Shu, Wenxiang Zhou, Xinjue Zheng, and Dan Feng. “Enabling Efficient All-Dimension Top-k Sparsification for High-Performance Distributed DNN Training Systems.”ACM Transactions on Architecture and Code Optimization (ACM TACO, CCF-A, CSRanking)[Code] [Preview])[Download]

• Zhangqiang Ming, Yuchong Hu, Zhiyuan Luo, Patrick P. C. Lee, Yuanhao Shu, Xinjue Zheng, Wenxiang Zhou, and Dan Feng. “AsymCheck: Asymmetric Partitioned Checkpointing for Efficient Large Language Model Training.” In Proceedings of the 63rd Design Automation Conference (DAC’26, Acceptance Rate=21.7%, CCF-A, CSRanking) [Code] [Preview][Download]

• Zhangqiang Ming, Rui Wang, Yuchong Hu, Yuanhao Shu, Wenxiang Zhou, Xinjue Zheng, and Dan Feng. “SSFusion: Tensor Fusion with Selective Sparsification for Efficient Distributed DNN Training.” 2026. In Proceedings of the 42st IEEE International Conference on Data Engineering (ICDE’26, CCF-A, Acceptance Rate=22.1%, CSRanking) [Code] [Preview][Download]

• Zhangqiang Ming, Yuchong Hu, Wenxiang Zhou, Xinjue Zheng, and Dan Feng. “SAFusion: Efficient Tensor Fusion with Sparsification Ahead for High-Performance Distributed DNN Training.” 2025. In Proceedings of the 34th ACM International Symposium on High-Performance Parallel and Distributed Computing. (HPDC’25, CCF-A, Acceptance Rate=18.7%, CSRanking) [Code] [Preview][Download]

• Zhangqiang Ming, Yuchong Hu, Wenxiang Zhou, Xinjue Zheng, and Dan Feng. “ADTopk: All-Dimension Top-k Compression for High-Performance Data-Parallel DNN Training.” 2024. In Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing. (HPDC’24, CCF-A, Acceptance Rate=17.1%, CSRanking) [Code] [Preview][Download]

• Zhangqiang Ming, Min Zhu, Xiangkun Wang, Jiamin Zhu, Junlong Cheng, Chengrui Gao, Yong Yang, and Xiaoyong Wei. “Deep learning-based person re-identification methods: A survey and outlook of recent works.” Image and Vision Computing 119 (2022): 104394. (Image and Vision Computing(IVC), CCF-C, IF:5.0, CSRanking) [Preview][Download]

• Min Zhu, Zhangqiang Ming*, Jianrong Yan, Yong Yang, and Jiamin Zhu. “A survey on generative adversarial network based person re-identification method.” Journal of Computer-Aided Design&Computer Graphics 34, no. 2 (2022): 163-179. (Corresponding author, CAD&CG, T1/CCF-A) [Preview][Download]

• Zhangqiang Ming, Yong Yang, Xiaoyong Wei, Jianrong Yan, Xiangkun Wang, Fengjie Wang, and Min Zhu. “Global-local dynamic feature alignment network for person re-identification.” arXiv preprint arXiv:2109.05759 (2021). [Preview][Download]

• Xinjue Zheng, Zhangqiang Ming, Yuchong Hu, Wenxiang Zhou, and Dan Feng. “Saving Memory via Residual Reduction for DNN Training with Compressed Communication.” 2025. In Proceedings of the European Conference on Parallel Processing (EuroPar’25, CCF-B, CSRanking) [Code] [Preview][Download]

• Zhangqiang Ming, Yuchong Hu, Wenxiang Zhou, Xinjue Zheng, and Dan Feng. “Gradient Compression Techniques in Distributed DNNs Training Systems: A Survey and Outlooks.” arXiv preprint arXiv:2310.14484 (2023). [Preview][Download]

• Yong Yang, Chengrui Gao, Zhangqiang Ming, Jixiang Guo, Edou Leopold, Junlong Cheng, Jie Zuo, and Min Zhu. “LatLRR-CNN: An infrared and visible image fusion method combining latent low-rank representation and CNN.” Multimedia Tools and Applications 82, no. 23 (2023): 36303-36323. (JCR:Q1; IF:3.748) [Preview][Download]

• Junlong Cheng, Chengrui Gao, Changlin Li, Zhangqiang Ming, Yong Yang, Fengjie Wang, and Min Zhu. “F2RNET: A Full-Resolution Representation Network for Biomedical Image Segmentation.” In 2022 IEEE International Conference on Image Processing (ICIP), pp. 2406-2410. IEEE, 2022. [Preview][Download]

• Cheng, Junlong, Chengrui Gao, Hongchun Lu, Zhangqiang Ming, Yong Yang, and Min Zhu. “PL-Net: progressive learning network for medical image segmentation[J].” Frontiers in Bioengineering and Biotechnology, 2024, 12: 1414605. (2024). [Preview][Download]

🏅 Honors and Awards

Scholarships

• 2022 – 2023, First-Class Doctoral Academic Scholarship, Huazhong University of Science and Technology
• 2023 – 2024, First-Class Doctoral Academic Scholarship, Huazhong University of Science and Technology
• 2024 – 2025, Third-Class Doctoral Academic Scholarship, Huazhong University of Science and Technology
• 2023 - 2024, Outstanding Graduate Scholarship, Huazhong University of Science and Technology
• 2023 – 2024, Doctor of Engineering Training Reform Pilot Scholarship, Huazhong University of Science and Technology
• 2024 – 2025, Huawei Scholarship, Huazhong University of Science and Technology
• 2020 – 2021, National Scholarship for Graduate Students (Master’s Level)
• 2019 – 2022, First-Class Graduate Academic Scholarship, Sichuan University
• 2016 – 2017, First-Class Undergraduate Scholarship
• 2015 – 2016, National Scholarship for Undergraduate Students

Awards

• 2025.07, HPDC2024 International Conference Travel Award
• 2024.06, HPDC2025 International Conference Travel Award
• 2023 - 2024, First Prize, 2nd National College Student Information Storage Technology Competition
• 2023 - 2024, Best Paper Award, 3rd Annual Academic Conference, School of Computer Science, HUST
• 2022 - 2023, Outstanding Graduate Student Leader, Huazhong University of Science and Technology,
• 2021 - 2022, Outstanding Graduate of Sichuan Province
• 2021 - 2022, Outstanding Student Leader, Sichuan University
• 2019 – 2020, Outstanding Graduate Student Leader, Sichuan University

🎓 Educations

• 2022.09 - 2026.06, Huazhong University of Science and Technology, Ph.D in Computer Science and Technology.
• 2019.09 - 2019.06, Sichuan University, Master’s degree in Computer Technology.

📑 Invited Talks

• 2026, 32nd CCF National Conference on Information Storage (NCIS 2026), Tianjin, China, Oral Presentation.
• 2026, 63rd THE CHIPS TO SYSTEM CONFERENCE (DAC2026), Long Beach Convention Center, Long Beach, CA, USA, Oral Presentation.
• 2026, 42nd IEEE International Conference on Data Engineering (ICDE2026), Fairmont The Queen Elizabeth, Montreal, Canada, Oral Presentation.
• 2026, 4rd Annual Academic Conference, School of Computer Science, HUST, Wuhan, China, Oral Presentation.
• 2025, 34th ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC2025), University of Notre Dame, Indiana, USA, Oral Presentation.
• 2024, 33rd ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC2024), University of Pisa, Pisa, Italy, Oral Presentation.
• 2025, 2nd CCF China Storage Conference (ChinaStorage2025), Wuhan, China, Poster Presentation.
• 2024, 1st CCF China Storage Conference (ChinaStorage2024), Guangzhou, China, Poster Presentation.
• 2024, 3rd Annual Academic Conference, School of Computer Science, HUST, Wuhan, China, Oral Presentation.
• 2021, 11th International Conference on Information Science and Technology (ICIST2021), Chengdu, China, In-person Presentation.
• 2021, 4th Chinese Conference on Pattern Recognition and Computer Vision (PRCV2021), Beijing, China, In-person Presentation.

💻 Internships

Projects

• 2023.06 – 2027.06, HUST–H3C Joint Laboratory, Storage Construction Project, Intelligent Computing Center, Key Participants.
• 2023.08 – 2026.08, Shenzhen Natural Science Foundation (General Program), Research on Key Storage Technologies for Distributed DNN Training Systems, Key Participants.
• 2021.09 – 2024.09, National Key R&D Program – Young Scientist Project, Research on Reliability Coding Theory and Techniques for Large-Scale Parallel Computing Systems, Key Participants.
• 2020.09 – 2023.09, Shenzhen Natural Science Foundation (General Program), Research on Large-Scale All-Flash Cluster Erasure Coding with Low Redundancy Cost, Key Participants.
• 2019.09 – 2022.04, National Key R&D Program, Research and Application of Key Technologies for Target Tracking and Re-Localization, Key Participants.

Experiences

• 2025.05 – 2026.02, Intelligent Algorithm Research Institute, China Electronics Hikvision Group(CETC), Hangzhou, Zhejiang
• 2021.06 – 2021.09, Intelligent Algorithm Application Department, Hikvision Research Institute(Hikvision), Chengdu, Sichuan
• 2017.06 – 2018.01, Product Development Department, Wuhan Tianyu Software Co., Ltd., Wuhan, Hubei