About Me
I am currently a full professor at Computer Science, UCLA. Prior to that, I joined Northeastern University as an assistant professor in 2013. I received my Ph.D. degree from Computer Science Department, University of Illinois at Urbana Champaign (UIUC) in December 2012. I got my master degree and bachelor degrees in Computer Science and Statistics from Peking University, China.
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For Prospective Students
I am now looking for highly motivated Ph.D. students. Read more for related information.
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Research Interests
- Large-Scale Information Network Analysis, Social Network, Link Analysis
- Graph Mining, Web Mining, Text Mining
- AI for EDA; AI for Science; Neuro-Symbolic Reasoning
- More about my Research
Books
Selected Publications [Full List] [DBLP] [Google Scholar]
- Kewei Cheng, Jiahao Liu, Wei Wang, Yizhou Sun, "RLogic: Recursive Logical Rule Learning from Knowledge Graphs," in Proc. of 2022 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’22), Washington, DC, Aug. 2022.
- Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, and Jason Cong, "Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks," in Proc. of 59th ACM/IEEE Design Automation Conference (DAC'22), San Francisco, July 2022.
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Shichang Zhang, Yozen Liu, Yizhou Sun, and Neil Shah, "Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation," in Proc. 2022 Int. Conf. on Learning Representations (ICLR’22), April 2022. [Arxiv]
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Xuelu Chen, Ziniu Hu, and Yizhou Sun, "Fuzzy Logic based Logical Query Answering on Knowledge Graphs," in Proc. of the 36th AAAI Conf. on Artificial Intelligence (AAAI'22), Feb. 2022. [Slides][GitHub]
- Ziniu Hu, Yuxiao Dong, Kuansan Wang, and Yizhou Sun, "Heterogeneous Graph Transformer," in Proc. 2020 Int. World Wide Web Conf. (WWW’20), Taipei, Taiwan, Apr. 2020. [Code]
- Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, and Tianyi Wu, "PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks", PVLDB 4(11): 992-1003, 2011. (Also, Proc. of 2011 Int. Conf. on Very Large Data Bases (VLDB'11/PVLDB), Seattle, WA, Aug. 2011.) (Acceptance rate: 100/553 = 18.1%) [pdf] [slides][DBIS data]
Students
- Graduated PhD Students (Year, First Position)
- Roshni Iyer (Co-advising with Prof. Wei Wang) (2024, MSR)
- Zijie Huang (Co-advising with Prof. Wei Wang) (2024, Nvidia)
- Shichang Zhang (2024, PostDoc@Harvard)
- Song Jiang (2024, Meta)
- Patricia Xiao (2024, PostDoc@UW)
- Kewei (Vivian) Cheng (2024, Amazon)
- Yewen Wang (2024, Amazon)
- Yunsheng Bai (2023, Micron)
- Ziniu Hu (2023, PostDoc@Caltech and Assitant Professor@RPI)
- Junheng (Jeff) Hao (2022, MSR)
- Xuelu (Shirley) Chen (2021, Meta)
- Ting Chen (2019, Google Brain)
- Yupeng Gu (2018, Pinterest)
Selected Honors and Awards
- KDD PC Co-Chair, 2025
- ICLR PC Co-Chair, 2024
- WSDM Test Of Time Award, 2024
- KDD General Co-Chair, 2023
- TheWebConf Best Student Paper Award, 2023
- IBM/SDM Early Career Data Mining Research Award, 2023
- IEEE AI'10 to Watch, 2023
- ACM Distinguished Member, 2022
- VLDB Test of Time Award , 2022
- IJCAI Early Career Spotlight , 2021
- BCB Best Student Paper Award , 2020
- Amazon Research Award , 2020
- Okawa Foundation Research Grant, 2019
- Amazon Research Award , 2018
- Distinguished Alumni Educator Award, CS @ ILLINOIS Alumni Awards , 2016
- Best Paper Award, Tsinghua Science and Technology 2015 Best Paper Award, 2016
- NSF CAREER Award, 2015
- Yahoo ACE (Academic Career Enhancement) Award, 2013
- ACM SIGKDD 2013 Dissertation Award, 2013
- Yahoo!-DAIS Outstanding Research Award, UIUC, 2013
- Best Student Paper Award, 2012 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'12), 2012
- Best Paper Award, Int. Conf. on Advances in Social Networks Analysis and Mining (ASONAM'11), July 2011
- Data Mining Research Awards, Data Mining Group, UIUC, Fall 2012, Spring 2012, Fall 2011, Spring 2011, Spring 2009, and Fall 2008
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