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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

May 2021 - June 2024 Alibaba DAMO Academy

July 2024 - Oct. 2024 Huawei 2012 Lab

Publications

  1. SIGMOD 2026 Yuhang Li, Rong Gu, Chengying Huan, Zhibin Wang, Renjie Yao, Chen Tian, Guihai Chen HotPrefix: Hotness-Aware KV Cache Scheduling for Efficient Prefix Sharing in LLM Inference Systems

  2. ATC 2025 Yuhang Zhou, Zibo Wang, Zhibin Wang (corresponding author), Ruyi Zhang, Chen Tian, Xiaoliang Wang, Wanchun Dou, Guihai Chen, Binqiang Wang, Yonghong Tian, Yan Zhang, Hui Wang, Fuchun Wei, Boquan Sun, Jingyi Zhang, Bin She, Teng Su, Yifan Yao, Chunsheng Li, Ziyang Zhang, Yaoyuan Wang, Bin Zhou, Guyue Liu Accelerating Model Training on Ascend Chips: An Industrial System for Profiling, Analysis and Optimization

  3. ASPLOS 2025 Yuhang Zhou, Zhibin Wang (corresponding author), Guyue Liu, Shipeng Li, Xi Lin, Zibo Wang, Yongzhong Wang, Fuchun Wei, Jingyi Zhang, Zhiheng Hu, Yanlin Liu, Chunsheng Li, Ziyang Zhang, Yaoyuan Wang, Bin Zhou, Wanchun Dou, Guihai Chen, Chen Tian. Squeezing Operator Performance Potential for the Ascend Architecture.

  4. EuroSys 2025 Pinhuan Wang, Chengying Huan, Zhibin Wang, Chen Tian, Yuede Ji, Hang Liu. BINGO: Radix-based Bias Factorization for Random Walk on Dynamic Graphs.

  5. PPoPP 2025 Zhibin Wang, Xi Lin, Xue Li, Pinhuan Wang, Ziheng Meng, Hang Liu, Chen Tian, Sheng Zhong. Swift Unfolding of Communities: GPU-Accelerated Louvain Algorithm.

  6. PVLDB 2025 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.

  7. HPEC 2024 Ketai Zhao, Yuhang Zhou, Hong xu Pan, Zhibin Wang (corresponding author), Sheng Zhong and Chen Tian. Sans: Streaming Anonymized Network Sensing.

  8. VLDBJ 2024 Zhibin Wang, Longbin Lai, Yixue Liu, Bing Shui, Chen Tian, Sheng Zhong.
    Parallelization of Butterfly Counting on Hierarchical Memory.

  9. HPEC 2023 Zhibin Wang, Ziheng Meng, Xue Li, Xi Lin, Long Zheng, Chen Tian, and Sheng Zhong. SMOG: Accelerating Subgraph Matching on GPUs. 🎉 Awarded Graph Challenge Champion.

  10. ATC 2023 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.

  11. SIGMOD 2023 Zhibin Wang, Longbin Lai, Yixue Liu, Bing Shui, Chen Tian, Sheng Zhong. I/O-Efficient Butterfly Counting at Scale.

  12. TPDS 2021 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.

Preprints

Honors & Awards

Teaching