Xiaodong LI is a research fellow in School of Computing, National University of Singapore, supervised by prof. Xiaokui Xiao. Before that, he obtained his PhD degree from the Department of Computer Science in the University of Hong Kong in 2020, under the supervision of prof. Reynold Cheng. He received his BEng (Computer Science) in 2016, from Taishan College in Shandong University.

His main research area is network data modeling and graph mining. More academic info more


◈ Xiaolin Han, Reynold Cheng, Tobias Grubenmanny, Silviu Maniuz, Chenhao Ma, Xiaodong Li. "Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road Networks", SDM, 2022.

◈ Reynold Cheng, Chenhao Ma, Xiaodong Li, Yixiang Fang, Ye Liu, Victor Wong, Esther Lee, Tai Hing Lam, Sai Yin Ho, Man Ping Wang, Weijie Gong, Wentao Ning, Ben Kao. "The Social Technology and Research (STAR) Lab in the University of Hong Kong", SIGMOD Record, 2022.

◈ Xiaodong Li*, Vincent Yan*, Xuxiao Ye*, Min Ou, Ruibang Luo, Qingpeng Zhang, Bo Tang, Benjamin Cowling, Ivan Hung, Chung Wah Siu, Ian Wong, Reynold Cheng, Esther Chan. "Drug Repurposing for the Treatment of COVID-19: A Knowledge Graph Approach", Advanced Therapeutics, 2021. (* equal contribution)

◈ Xiaodong Li, Reynold Cheng, Kevin Chang, Caihua Shan, Chenhao Ma, Hongtai Cao. "On Analyzing Graphs with Motif-Paths", PVLDB, 2021.

◈ Xiaodong Li, Reynold Cheng, Matin Najafi, Kevin Chang, Xiaolin Han, Hongtai Cao. "M-Cypher: A GQL Framework Supporting Motifs, Demonstrated by Covid-19 Knowledge Graph Analysis", CIKM, 2020.

◈ Xiaolin Han, Tobias Grubenmann, Reynold Cheng, Sze Chun Wong, Xiaodong Li, Wenya Sun. "Traffic Incident Detection: A Trajectory-based Approach", ICDE, 2020.

◈ Chenhao Ma, Reynold Cheng, Laks V.S. Lakshmanan, Tobias Grubenmann, Yixiang Fang, Xiaodong Li. "LINC: A Motif Counting Algorithm for Uncertain Graphs", PVLDB, 2020.

◈ Yixiang Fang, Zheng Wang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu, Xiaojun Chen. "On Spatial-Aware Community Search", TKDE, 2018.

◈ Xiaodong Li, Reynold Cheng, Yixiang Fang, Jiafeng Hu, Silviu Maniu. "Scalable Evaluation of k-NN Queries on Large Uncertain Graphs", EDBT, 2018.

◈ Yixiang Fang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu. "Effective Community Search over Large Spatial Graphs", PVLDB, 2017.

◈ Xiaodong Li, Yuqing Sun. "Privacy Protection for Collaborative Tagging Quality and User Personalization", the Proceedings of SDU Excellent Graduation Thesis, 2016.

◈ Xiaodong Li, Yeh-Ching Chung, Yu-Shiang Lin. "Software Based GPU Virtualization", the Proceedings of NYHU Summer Internship, 2014.

Photo Signature

Department of CS
U of Hong Kong

2020 Ph.D.


Taishan College
Shandong U

2016 B.Eng.


China Top-Notch
UG Training Prog

2016 B.E.Hons.





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ICL Internship


Summer intern in Dr. Thomas Heinis's Lab in Imperial College London.

THU Internship


Summer intern in Prof. LI Guoliang's Lab in Tsinghua University Beijing on traffic data reaserch.

We want to find a new approach to deal with lage scale trajectory data. How to efficiently analyze the trajectories is crutial to many real-time applications.

Social Works


For the good of the community, I have been volunteering in many activities, such as Non-Ethnic Chinese (Western District) Program, SERVICE 100 Mooncake Project, stray animal protection, and environmental protection.

Also, I have been served as the RPG Student Representative of the Department of Computer Science in the University of Hong Kong during the last academic year, and the PG representative of Starr Hall in the HKU Inter-hall Academic Symposium and Competition 2017.

HIT Winter Camp


The HIT campus in Harbin is smaller compared to the campus in Shenzhen and Weihai, but it is much cooler! Happy Winter Camp in Frozen City 2016.

HKU Internship


During my internship, I have developed a novel algorithm that enables search of a community (e.g., hobbyists in photography) within a large social network. We have also performed experiments on real datasets to verify the correctness and efficiency of this algorithm.

SDU RA Experience


We have analyzed the semantics of tags on resources (e.g., URLs) in the Delicious website, and then cluster the users of similar behaviors. A heuristic recursive binary partitioning algorithm is designed.

Finally, to achieve privacy preserving, some tags are filtered out with minimum precision loss.

National Innovative Training Projects


We designed an Electronic-Visual (E-V) system to identify object's appearance model and accurate localization from large volumes of video data with the help of mobile phone signals.

We designed electronic and visual signals processing algorithm.

Then electronic frame filtering and E-V mapping are achieved.

Android apps were developed to achieve better distance calculation.

NTHU Exchange


We built a software-based GPU virtualization environments by KVM on CentOS.

Then we achieved NVidia Quadro6000 pass-through and GPU forwarding.

We also built Spice desktop virtualization to test the scheduling algorithm designed by us.


  • @xiaodong Jessie Ho Memorial Postgraduate Fellowshipfrom HKU
  • @xiaodong Y S and Christabel Postgraduate Scholarshipfrom HKU
  • @xiaodong University Postgraduate Fellowship and Post Graduate Scholarshipfrom HKU
  • @xiaodong Excellent Graduation Thesis 2016from SDU
  • @xiaodong Award of Excellent Graduatesfrom MOE Shandong
  • @xiaodong First Prize in National Students' Innovative Training Projectsfrom MOE China
  • @xiaodong National Scholarshipfrom MOE China