About Me

• I am currently a Professor and Vice Dean at the School of Computer Science, Wuhan University, where I lead research initiatives in distributed computing systems and computer architecture. Prior to my current position, I served as a tenure-track Assistant Professor at the University of North Carolina at Charlotte from 2016 to 2020. I received my Ph.D. in Computer Science and Technology from the University of Colorado, and my Master's degree in Pattern Recognition and Artificial Intelligence from the University of Science and Technology of China. I hold a Bachelor's degree in Automation from Hefei University of Technology.

• I am currently seeking self-motivated students interested in systems research, particularly in the areas of AI systems, computer architecture, edge computing and robotics.

• Feel free to reach out via email (dcheng@whu.edu.cn) if you are passionate about working with us.

Research Interests

• My current research is centered around building high-performance and energy-efficient AI systems, with a particular emphasis on large model inference across a wide range of computing platforms, including server and edge devices such as smartphones, robots, and other intelligent terminals.

• Our work aims to advance intelligent computing systems by systematically improving computational efficiency, reducing power consumption, and enabling scalable, real-time operation.        Additionally, I continue to explore traditional research topics in computer architecture, including distributed computing, scalable system design, and architectural innovations for enhancing system reliability, security, and efficiency.

Selected Recent Publications

• (USENIX ATC'25) Yaqi Xia, Weihu Wang,, Donglin Yang, Xiaobo Zhou, Dazhao Cheng. "Revitalizing Sparse Matrix-Matrix Multiplication on Tensor Cores with Asynchronous and Balanced Kernel Optimization." USENIX Annual Technical Conference, 2025.

• (ICDE'25) Wenhan Wu, Yili Gong, Jiawei Jiang, Chuang Hu, Xiaobo Zhou, Dazhao Cheng. "Defending against Attribute Inference Attacks in Post-Training of Recommendation Systems via Unlearning." IEEE International Conference on Data Engineering, 2025

• (CHI'25) Siyu Wang, Janice Jianing Si, Huanghuang Liang, Chuang Hu, Yujun Zhu, Xiaobo Zhou, Kanye Ye Wang, Dazhao Cheng. "Understanding the Challenges Students Face in Non-English Programming Environments Due to the Programming Language Transition: A Case Study of Keywords in the Chinese Version of Scratch." ACM Conference on Human Factors in Computing Systems, 2025.

• (PPoPP'25) Hulin Wang, Yaqi Xia, Donglin Yang, Xiaobo Zhou, Dazhao Cheng. "Harnessing Inter-GPU Shared Memory for Seamless MoE Communication-Computation Fusion." Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025.

• (SC'24) Zheng Zhang, Donglin Yang, Xiaobo Zhou, Dazhao Cheng. "MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators." SC24: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2024.

• (SC'24) Yaqi Xia, Donglin Yang, Xiaobo Zhou, Dazhao Cheng. "Scaling New Heights: Transformative Cross-GPU Sampling for Training Billion-Edge Graphs." SC24: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2024.

• (SC'24)Weihu Wang, Yaqi Xia, Donglin Yang, Xiaobo Zhou, Dazhao Cheng. "Accelerating Distributed DLRM Training with Optimized TT Decomposition and Micro-Batching." SC24: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2024.

• (USENIX ATC'23) Xingguo Pang, Yanze Zhang, Liu Liu, Dazhao Cheng, Chengzhong Xu, Xiaobo Zhou. "Expeditious High-Concurrency MicroVM SnapStart in Persistent Memory with an Augmented Hypervisor." USENIX Annual Technical Conference, 2023.

• Authored and co-authored over 100 publications (Google Scholar)

Honors and Awards

• Best Paper Candidate Award, HPDC 2023

• Best Paper Award, National Open Distributed and Parallel Computing Conference (DPCS), CCF 2022

Professional Service

• Keynote Speaker: ICMSS 2024, ICINC 2023

• Senior Program Chair: IJCAI, ICCCN, IPCCC, ICMSS

• Technical Program Committee Member: ICDCS, ICPP, Cluster, CLOUD, ICPADS

• Reviewer: TPDS, TC, TMC, JPDC, TCC

• Associate Editor, IEEE Transactions on Parallel and Distributed Systems (TPDS)

• Editorial Roles: Associate Editor of Wuhan University Journal of Natural Sciences, Guest Editor for TII, Electronics, Big Data Research