Biography
I am an assistant researcher in School of Intelligent Software and Engineering, Nanjing University. I received my Ph.D. degree in School of Computer Science, Nanjing University, advised by Prof. Chen Tian and Prof. Sheng Zhong. I have been interning at GraphScope team in Alibaba DAMO Academy from 2021 to 2024, supervised by Longbin Lai. My research interests include accelerating subgraph matching and other graph algorithms using new hardware, especially GPUs. Recently, I am engaged in accelerating LLM inference. Related research has been published in top-tier conferences, such as SIGMOD, PPoPP and ATC.
Prospective Students
We are looking for self-motivated students who are interested in graph algorithms and LLM systems (details here). We welcome students with strong algorithmic, mathematical, and programming skills. Please contact me by email with your CV.
Education & Experience
Sept. 2018 - Sept. 2024
Nanjing University
- Ph.D. in Computer Science and Technology
May 2021 - June 2024
Alibaba DAMO Academy
- Research intern in GraphScope team
July 2024 - Oct. 2024
Huawei 2012 Lab
- Research intern in Mindspore team
Publications
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Zhibin Wang, Xi Lin, Xue Li, Pinhuan Wang, Ziheng Meng, Hang Liu, Chen Tian, Sheng Zhong. Swift Unfolding of Communities: GPU-Accelerated Louvain Algorithm. PPoPP, 2025.
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Xue Li, Weibin Zeng, Zhibin Wang, Diwen Zhu, Jingbo Xu, Wenyuan Yu, Jingren Zhou. GraphAr: An Efficient Storage Scheme for Graph Data in Data Lakes. VLDB conference, 2025.
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Ketai Zhao, Yuhang Zhou, Hong xu Pan, Zhibin Wang (corresponding author), Sheng Zhong and Chen Tian. Sans: Streaming Anonymized Network Sensing. HPEC, 2024.
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Zhibin Wang, Ziheng Meng, Xue Li, Xi Lin, Long Zheng, Chen Tian, and Sheng Zhong. SMOG: Accelerating Subgraph Matching on GPUs. HPEC, Awarded Graph Challenge Champion, 2023.
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Zhibin Wang, Longbin Lai, Yixue Liu, Bing Shui, Chen Tian, Sheng Zhong. I/O-Efficient Butterfly Counting at Scale. SIGMOD, 2023.
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Zhibin Wang, Longbin Lai, Yixue Liu, Bing Shui, Chen Tian, Sheng Zhong.
Parallelization of Butterfly Counting on Hierarchical Memory. VLDB Journal. -
Santosh Pandey, Zhibin Wang (co-first author), Sheng Zhong, Chen Tian, Bolong Zheng, Xiaoye Li, Lingda Li, Adolfy Hoisie, Caiwen Ding, Dong Li, Hang Liu. TRUST: Triangle Counting Reloaded on GPUs. TPDS.
- Longbin Lai, Yufan Yang, Zhibin Wang, Yuxuan Liu, Haotian Ma, Sijie Shen, Bingqing Lyu, Xiaoli Zhou, Wenyuan Yu, Zhengping Qian, Chen Tian, Sheng Zhong, Yeh-Ching Chung, Jingren Zhou. GLogS: Interactive Graph Pattern Matching Query At Large Scale. ATC 23.
Preprints
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Zhibin Wang, Shipeng Li, Yuhang Zhou, Xue Li, Rong Gu, Nguyen Cam-Tu, Chen Tian, Sheng Zhong. Revisiting SLO and Goodput Metrics in LLM Serving. ArXiv.
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Tao He, Xue Li, Zhibin Wang, Kun Qian, Jingbo Xu, Wenyuan Yu, Jingren Zhou. Unicron: Economizing self-healing llm training at scale. ArXiv.
Honors & Awards
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2015
Gold Medal, ACM-ICPC Asia Regional Contest -
2015
China National Scholarship -
2016
Outstanding Undergraduate Award, CCF(China Computer Federation) -
2023
Outstanding Research intern, Alibaba