Xiangguo SUN

Xiangguo SUN
online social networks | user modeling
Dr. Xiangguo Sun/孙相国 is now working as a Postdoctoral Research Fellow at The Chinese University of Hong Kong (香港中文大学, supervised by Prof. Hong Cheng/程鸿). Before that, he received his Ph.D. in 2022 from Southeast University (东南大学, Nanjing, supervised by Prof. Bo Liu/刘波) with the Outstanding Doctoral Dissertation Award in Jiangsu Province (江苏省计算机学会-优博，全省仅6人；同时获江苏省学位委员会-优博). In the same year, he visited Zhejiang Lab (之江实验室, Hangzhou) as a visiting researcher hosted by Chief Scientist Prof. Hongyang Chen/陈红阳. From Sep 2021 to Jan 2022, he worked as a research intern at Microsoft Research Asia (微软亚洲研究院, MSRA, Beijing) with Dr. Hang Dong/董航 and Bo Qiao/乔波, and won the ``Award of Excellence'' in the Stars of Tomorrow Program (top 10%). From Sep 2019 to Sep 2021, he came to Australia as a 2-year joint Ph.D. student at The University of Queensland (昆士兰大学, Brisbne), supervised by ARC Future Fellow (澳大利亚杰青) Prof. Hongzhi Yin/阴红志.

Research: His current research interests include data mining, online social networks, and social computing, especially the issues related to the next generation of AI technique for social science. He has published 27 CORE A*, 22 CCF A, and 18 SCI (including 8 IEEE Trans), some of which appear in SIGKDD, VLDB, TKDE, The Web Conference (WWW), WSDM, CIKM, NeurIPS, ICML, ICLR, TOIS, IJCAI, TNNLS, etc. He has 2 first-authored papers recognized as the Most Influential Papers in KDD, WSDM (2024 July). He won the Best Research Paper Award at KDD'23, the first time for Hong Kong and Mainland China. He was recognized as the "Social Computing Rising Star" (社会计算青年学者新星) in 2023 from CAAI (中国人工智能学会，面向全球华人青年学者评选，同年度仅10人).

Service:
Dr. Xiangguo Sun was elected as a Member of the Professional Committee of Social Computing and Social Intelligence, CAAI (中国人工智能学会-社会计算专委会委员，当选时是委员会中唯一一位博士后，兼任第三届青年学者新星执委会主席).
He is currently serving as the Associate Editor of Big Data Mining and Analytics/《大数据挖掘与分析(英文)》(CCF T1，中科院1区Top，JCR Q1，CiteScore 20.9，位列全球计算机领域前2%，入选2023中国最具国际影响力学术期刊) and the Associate Editor of Journal of Social Computing.
He was recognized as the Outstanding/ Excellent/ Distinguished Reviewer by many reputable venues like KDD 2025 (Feb Cycle, top 10%), KDD 2025 (Aug Cycle, top 20%), BDSC 2025 (全国大数据与社会计算会议，中国人工智能学会CAAI社会计算领域的旗舰会议，only 10 positions), BESC 2020 (International Conference on Behavioural and Social Computingonly，国际知名的社会计算会议，only 8 positions), etc.
He served as the PC member or reviewer for many reputable conferences and journals such as SIGKDD (2020, 2021, 2022, 2023, 2024, 2025), TKDE, TPAMI, IJCAI 2024, ICLR (2024, 2025), NeurIPS (2023 2024, 2025), ICML 2025, The Web Conference (2023, 2024, 2025), SIGIR 2021, ICDE 2021, VLDB 2022, DASFAA (2020, 2023, 2024, 2025), WSDM 2025, SDM 2024, CIKM (2024, 2025), TNNLS, etc.

CV Download (update in Nov. 5th 2024) Email: xiangguosun at cuhk dot edu dot hk

Selected News
[2025.June] I was recognized as an Outstanding Reviewer (top 10%) by KDD 2025 February Cycle, and an Excellent Reviewer (top 20%) by KDD 2025 August Cycle.
[2025.May] 1 paper accepted by SIGKDD 2025, 3 papers accepted by ICML 2025, 1 paper accepted by IJCAI 2025, 1 paper by SIGIR 2025
[2024.Aug] invited reviewer of ICLR 2025, WSDM 2025, KDD 2025, CIKM 2025.
[2024.Jun] our WSDM21 paper was ranked as one of the Top 10% Most Cited Papers in WSDM 21, as reported by Scopus; our KDD23 paper was recognized as one of the Most Influential Papers in KDD23, as reported by Paper Digest.
[2024.05.25] Invited 3-hour tutorial at SIGKDD 2024 (Graph Intelligence with Large Language Models and Prompt Learning)
[2024.05] Invited as Program Chair (Shepherding Track) in ADC 2024 (The 2024 Australian Database Conference)
[2024.05] invited to present our KDD 23 paper at IJCAI 2024 (Sister Conferences Best Paper Track)
[2024.05.11] won the Outstanding Doctoral Dissertation Award granted by Jiangsu Computer Society (江苏省计算机学会-优博，only 6 winners）
[2023.12] won the Outstanding Doctoral Dissertation Award granted by Jiangsu Provincial Degree Committee (江苏省学位委员会-优博, Only 1 CS winner from Southeast University in Jiangsu Province).
[2023.08] won the Best Research Paper Award at KDD'23. First time for Hong Kong and mainland China.
[2023.05] recognized as "Social Computing Rising Star" (社会计算青年学者新星) from Professional Committee of Social Computing and Social Intelligence, CAAI (中国人工智能学会-社会计算与智能专委会).
[2022.01] Become Dr. Sun!

Academic Experiences
[2022.05-present] The Chinese University of Hong Kong, Postdoctoral Research Fellow. with Prof. Hong Cheng(程鸿). Hong Kong SAR.
[2022.04-2022.05] Zhejiang Lab (之江实验室). Visiting Researcher with Chief Scientist Prof. Hongyang Chen (陈红阳). Hangzhou.
[2021.08-2022.02] Microsoft Research Asia, Research Intern in DKI group. with Dr. Hang Dong (董航) and Dr. Bo Qiao (乔波). Beijing.
[2019.09-2021.09] The University of Queensland (UQ), Joint Ph.D. student. Supervisor: Prof. Hongzhi Yin (阴红志). Brisbne.
[2018.03-2022.03] Southeast University (SEU), Ph.D. student. Supervisor: Prof. Bo Liu (刘波). Nanjing.
[2016.09-2018.03] Southeast University (SEU), Master Candidate. Computer Science. Nanjing.
[2012.09-2016.09] Dalian University of Technology (DUT), B.S. Electronic Information Engineering. Dalian.

Representative Papers
Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan. All in One: Multi-task Prompting for Graph Neural Networks. KDD 2023 (CORE A*, CCF A, Best Research Paper Award, which was the first time in Hong Kong and China Mainland. Top 10 Most Influential Papers in KDD23 as reported by Paper Digest 2024 July).
Qunzhong Wang, Xiangguo Sun, Hong Cheng. Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis. ICML 2025 (co-first author, corresponding author, Qunzhong finished this work under my supervision. CORE A*, CCF A, https://arxiv.org/abs/2410.01635)
Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung. Heterogeneous Hypergraph Embedding for Graph Classification, WSDM 2021. (CORE A*, CCF B, ac 18.6%, Top 10% Most Cited Papers in WSDM 21 as reported by Scopus）
Xiangguo Sun, Hongzhi Yin, Bo Liu, Qing Meng, Jiuxin Cao, Alexander Zhou, Hongxu Chen. Structure Learning via Meta-Hyperedge for Dynamic Rumor Detection. IEEE Transactions on Knowledge and Data Engineering (TKDE). 2023. (CORE A*, CCF A, SCI Q1)
Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Wang Han, Qing Meng, Jiuxin Cao, Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks, The Web Conference 2021 (WWW2021) (CORE A*, CCF A, ac 20.6%)
Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin. Self-supervised Hypergraph Representation Learning for Sociological Analysis. IEEE Transactions on Knowledge and Data Engineering (TKDE). 2023. (CORE A*, CCF A, SCI Q1)
Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin. Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System. IEEE Transactions on Knowledge and Data Engineering (TKDE). 2024. (CORE A*, CCF A, SCI Q1)
Yicong Li, Xiangguo Sun, Hongxu Chen, Sixiao Zhang, Yu Yang, Guandong Xu. Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2024. (co-first author, corresponding author, Yicong Li finished this work under my supervision. CORE A*, CCF A, SCI Q1)
Guibin Zhang, Xiangguo Sun, Yanwei Yue, Kun Wang, Tianlong Chen, Shirui Pan. Graph Sparsification via Mixture of Graphs. ICLR 2025 ( CORA A*, co-first author, Guibin finished this work under my supervision, spotlight, ac 5.1%
Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Tianlong Chen, Dawei Cheng. G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks. ICML 2025 (co-first author, Guibin finished this work under my supervision. CORE A*, CCF A)
Xiangguo Sun, Bo Liu, Liya Ai, Danni Liu, Qing Meng, Jiuxin Cao. In Your Eyes: Modality Disentangling for Personality Analysis in Short Video. IEEE Transactions on Computational Social Systems. 2022. (SCI JCR Q1, the top journal in the social computing area with only around 10% acceptance ratio)
Zhiyao Shu, Xiangguo Sun, Hong Cheng. When LLM Meets Hypergraph: A Sociological Analysis on Personality via Online Social Networks. CIKM 2024. (CORE A, CCF B, ac 23%) (co-first author, corresponding author. Zhiyao finished this work under my supervision.)
Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li. All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining. KDD2024 (co-first author, corresponding author. CORE A*, CCF A, SCI Q1)
Chenyi Zi, Haihong Zhao, Xiangguo Sun, Yiqing Lin, Hong Cheng, Jia Li. ProG: A Graph Prompt Learning Benchmark. NeurIPS 2024. (CORE A*, CCF A, ac 25.3%) (corresponding author, Chenyi Zi finished this work under my supervision)
Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yu Rong, Chengzhi Piao, Hong Cheng, Lingling Yi. Adaptive Coordinators and Prompts on Heterogeneous Graphs for Cross-Domain Recommendations. SIGIR 2025 (CORE A*, CCF A, corresponding author, hengyu finished this work under my supervision.)
Selected Awards
KDD2023 Best Research Paper Award.
"Social Computing Rising Star" (社会计算青年学者新星) 2023. 中国人工智能学会-社会智能专委会.
Outstanding Ph.D. Dissertation Award in Jiangsu Province 2023. (Only 1 winner from Computer Science and Technology at Southeast University.)江苏省学位委员会优博论文（东南大学计算机科学与技术专业仅1人获得），同时获江苏省人工智学会优博论文（全江苏省仅6人获得）
``Award of Excellence'' in the Stars of Tomorrow Program (top 10%). MSRA. 2021.
Distinguished Reviewer Award (杰出评审专家), BESC 2020. 2020.10.30 (only 8 PC members won this award)
National Scholarship for Graduate Student/国家奖学金. 2019.10 (only 3 winners in School of Computer Science & Engineering, Southeast University.)
Selected Academic Services
Member of the Professional Committee of Social Computing and Social Intelligence, CAAI/中国人工智能学会-社会计算专委会委员 (当选时是委员会中唯一一位博士后）
Young Associate Editor: Journal of Social Computing.
Guest Editor: Special Issue on Assessing Sentience of AI Systems, Journal of Social Computing
Program Chair: Shepherding Track in ADC 2024 (The 2024 Australian Database Conference)
PC Member or Reviewer: SIGKDD (2020, 2021, 2022, 2023, 2024), TKDE, IJCAI 2024, ICLR 2024, NeurIPS 2023, The Web Conference (2023, 2024), SIGIR 2021, ICDE 202, VLDB 2022, DASFAA (2020, 2023, 2024), SDM 2024, CIKM (2024), TKDD, TNNLS, etc.

ArXiv | Preprint | Under Review
🔥Xiangguo Sun, Jiawen Zhang, Xixi Wu, Hong Cheng, Yun Xiong, Jia Li. Graph Prompt Learning: A Comprehensive Survey and Beyond. https://arxiv.org/abs/2410.01635
Haojia Zhu, Jiahui Jin, Dong Kan, Rouxi Shen, Ruize Wang, Xiangguo Sun, Jinghui Zhang. Boundary Prompting: Elastic Urban Region Representation via Graph-based Spatial Tokenization. https://arxiv.org/abs/2503.07991
Xi Chen, Siwei Zhang, Yun Xiong, Xixi Wu, Jiawei Zhang, Xiangguo Sun, Yao Zhang, Yinglong Zhao, Yulin Kang. Prompt Learning on Temporal Interaction Graphs. https://arxiv.org/abs/2402.06326
Sixiao Zhang, Hongxu Chen, Haoran Yang, Xiangguo Sun, Philip S. Yu, Guandong Xu. Graph Masked Autoencoders with Transformers. arXiv preprint arXiv:2202.08391, 2022.
Xiaorong Hao, Bo Liu, Xiangguo Sun, Jiuxin Cao, Ding Zhou, Xinwen Fu. Detecting Lateral Movement through Graph Analysis with Inter-behavior Intervals Embedding. IEEE Transactions on Dependable and Secure Computing (SCI Q1, CCF A, under review)
Sixu An, Xiangguo Sun, Yicong Li, Yu Yang, Guandong Xu. Personality Analysis from Online Short Video Platforms with Multi-domain Adaptation. https://arxiv.org/abs/2411.00813 (co-first author, corresponding author, Sixu finished this work under my supervision.)

Other Publications
Jiahui Jin, Yifan Song, Dong Kan, Haojia Zhu, Xiangguo Sun, Zhicheng Li, Xigang Sun, Jinghui Zhang. Urban Region Pre-training and Prompting: A Graph-based Approach. SIGKDD 2025 (CORA A*, CCF A, ac 18.4%)
Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng. A Comprehensive Analysis on LLM-based Node Classification Algorithms. ICML 2025 (CORE A*, CCF A)
Xigang Sun, Jiahui Jin, Hancheng Wang, Xiangguo Sun, Xiaoliang Wang, Jun Zhu. Riding the Wave: Multi-scale Spatial-Temporal Graph Learning for Highway Traffic Flow Prediction under Overload Scenarios. IJCAI 2025.(CORE A*, CCF A)
Chenyi Zi, Bowen Liu, Xiangguo Sun, Hong Cheng, Jia Li. Rethinking Graph Prompts: Unraveling the Power of Data Manipulation in Graph Neural Networks. ICLR 2025 (BlogPosts)
Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li. Protein Multimer Structure Prediction via PPI-guided Prompt Learning. ICLR 2024 (CORA A*)
Chengzhi Piao, Tingyang Xu, Xiangguo Sun, Yu Rong, Kangfei Zhao, Hong Cheng. Computing Graph Edit Distance via Neural Graph Matching. PVLDB 2023 (CORE A*, CCF A)
Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin. Graph Condensation for Open-World Graph Learning. SIGKDD 2024. (CORE A*, CCF A)
Jia Li, Xiangguo Sun, Yuhan Li, Zhixun Li, Hong Cheng, Jeffrey Xu Yu. Graph Intelligence with Large Language Models and Prompt Learning. SIGKDD 2024. (CORE A*, CCF A, survey)
Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu. A Survey of Graph Meets Large Language Model: Progress and Future Directions. IJCAI 2024 (CORE A*, CCF A,survey track)
Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li and Guandong Xu. Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation. The Web Conference 2022 (WWW 2022) (CORE A*, CCF A)
Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys and Katarzyna Musial. Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD 2020 (CORE A*, CCF A, ac 16.8%).
Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu. Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. The Web Conference 2023. (CORE A*, CCF A)
Qing Meng, Hui Yan, Bo Liu, Xiangguo Sun, Jiuxin Cao. Recognize News Transition from Collective Behavior for News Recommendation. ACM Transactions on Information Systems (TOIS), 2022. (CORA A, CCF A, SCI JCR Q2)
Yingying Wang, Yun Xiong, Xixi Wu, Xiangguo Sun, Jiawei Zhang. DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning. CIKM 2024. (CORE A, CCF B, acceptance rate 23%).
Bo Liu, Xiangguo Sun, Qing Meng, Xinyan Yang, Yang Lee, Jiuxin Cao, Junzhou Luo, Roy Ka-We Lee. Nowhere to Hide: Online Rumor Detection based on Retweeting Graph Neural Networks. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022. (CORE A*, CCF B, SCI JCR Q1. the 1st author is my supervisor.)
Zhihong Cui, Xiangguo Sun, Shijun Liu, Guandong Xu. Event-based incremental recommendation via factors mixed Hawkes process. Information Sciences. 2023 (SCI JCR Q1, 中科院1区Top).
Zhihong Cui, Xiangguo Sun, Hongxu Chen, Li Pan, Lizhen Cui, Shijun Liu, Guandong Xu. Dynamic Recommendation based on Graph Diffusion and Ebbinghaus Curve. IEEE Transactions on Computational Social Systems. 2023 (corresponding author, the 1st author finished this work under my supervision, SCI JCR Q1, the top journal in the social computing area with only around 10% acceptance ratio).
Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu and Hongzhi Yin. Temporal Meta-path Guided Explainable Recommendation, WSDM 2021. (CORE A*, CCF B, acceptance rate 18.6%)
Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Phillip Yu, and Guandong Xu. Hyperbolic Hypergraphs for Sequential Recommendation. CIKM 2021. (CORE A, CCF B, acceptance rate 21.7%).
Qing Meng, Bo Liu, Xiangguo Sun, Hui Yan, Chengyu Liang, Jiuxin Cao, Roy Ka-Wei Lee. Attention-Fused Deep Relevancy Matching Network for Clickbait Detection. IEEE Transactions on Computational Social Systems. 2022. (SCI JCR Q1, the top journal in the social computing area)
Xiangguo Sun, Bo Liu, Qing Meng, Jiuxin Cao, Junzhou Luo, Hongzhi Yin. Group-level Personality Detection based on Text Generated Networks. World Wide Web Journal (WWWJ),2020, 23, 1887–1906 (CORE A, CCF B, SCI JCR Q2)
Yuanshen Guan, Xiangguo Sun, Yongjiao Sun. Sparse Relation Prediction based on Hypergraph Neural Networks in Online Social Networks. World Wide Web Journal (WWWJ). 2021. (corresponding author, co-first author, Yuanshen finished this work under my supervision. CORE A, CCF B, SCI JCR Q2)
Bo Liu, Xiangguo Sun, Zeyang Ni, Jiuxin Cao, Junzhou Luo, Benyuan Liu, Xinwen Fu. Co-Detection of Crowdturfing Microblogs and Spammers in Online Social Networks. World Wide Web Journal (WWWJ). 2020, 23, 573–607 (The 1st author is my supervisor, CORE A, CCF B, SCI JCR Q2)
Yingying Xue, Aibo Song, Xiaolin Fang, Yingxue Zhang, Xiangguo Sun, Jiahui Jin. Intra- and Inter- Semantic with Multi-scale Evolving Patterns for Dynamic Graph Learning. Knowledge-Based Systems (KBS), 2022. (SCI JCR Q1, 中科院1区)
Ruwen Zhang, Bo Liu*, Jiuxin Cao, Hantao Zhao, Xuheng Sun, Yan Liu, and Xiangguo Sun. Modeling Group-Level Public Sentiment in Social Networks through Topic and Role Enhancement. Knowledge-Based Systems. (SCI Q).
孟青,刘波,张恒远,孙相国,曹玖新,李嘉伟,在线社交网络中群体影响力的建模与分析,计算机学报. (CCF T-1类中文期刊)
Xiaorong Hao, Xinyan Yang, Bo Liu, Xiangguo Sun, Qing Meng, and Jiuxin Cao. Multi-stage Dynamic Disinformation Detection with Graph Entropy Guidance. World Wide Web Journal (WWWJ). (CORE A, CCF B, SCI JCR Q2.)
Haoran Yang, Hongxu Chen, Xiangyu Zhao, Sixiao Zhang, Xiangguo Sun, Qian Li, Hongzhi Yin, Guandong Xu. Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning. CAAI Transactions on Intelligence Technology (SCI Q2).
Bo Liu, Shijiao Tang, Xiangguo Sun, Qiaoyun Chen, Jiuxin Cao, Junzhou Luo, Shanshan Zhao. Context-aware social media user sentiment analysis. Tsinghua Science and Technology. 2020, 25(4): 528-541. (SCI JCR Q1)
Qing Meng, Junzhou Luo, Bo Liu, Xiangguo Sun, Jiuxin Cao. Quantifying Group Influence on Individuals in Online Social Networks. IEEE ISCC 2019. (CORE B, CCF C)
Xiangguo Sun, Bo Liu, Jiuxin Cao, Junzhou Luo, Xiaojun Shen. Who Am I? Personality Detection Based on Deep Learning for Texts. IEEE ICC 2018. (CCF C)

Student Supervision
Mr. Yanyi Pu: visiting student, University of Technology Sydney, Australia, I worked with him as his vice supervisor;
Mr. Sixiao Zhang: visiting student, University of Technology Sydney, Australia, I worked with him as his vice supervisor;
Miss Yicong Li: Ph.D. student, University of Technology Sydney, Australia, I worked with her as her vice supervisor;
Miss Dannie Liu: Ph.D. student, Southeast University, China. I worked with her as her vice supervisor
Mr. Taoran Wang, and Mr. Yulin Zhang: Master student, Southeast University, China. I worked with them as their vice supervisor
He also serves as an external supervisor of some brilliant PhD/master students from the University of Technology Sydney (Australia), UC Berkeley (USA), The Hong Kong Polytechnic University (PolyU, Hong Kong), Cambridge University (United Kingdom), Nanyang Technological University (Singapore) and Southeast University (China).

Teaching Courses
INFS7450 at The University of Queensland - Social Media Analytics. Semester 1, 2020. (Teaching Assistant, I got 5 stars feedback from my students, see the details report).
INFS7450 at The University of Queensland - Social Media Analytics Semester 1, 2021. (Teaching Assistant, I got 5 stars feedback from my students, see the details report).
COMP2200 at Macquarie University - Data Science. Semester 2, 2023. (Guest Lecture, Certificate)
sd013361D0 at Shandong University-计算机研究热门课题综述. Semester 2, 2023 (Guest Lecture)
SEEM5760 Client/Server Information Systems in Term 2, 2023-24. CUHK. (Teaching Assistant)
SEEM5760 Client/Server Information Systems in Term 2, 2024-25. CUHK. (Teaching Assistant)
Supervised Student Projects
Yixuan Long (University of Pittsburgh, USA), Jiarui Wang (The University of British Columbia, Canada), Shibo Jin (The University of British Columbia, Canada), Behrad Ahmadpour (Sharif University of Technology, Iran), Arvindh A (IIIT Hyderabad, India), Aarya Chaumal (College of Engineering Pune, India). I worked with them as their tutor in the Summer Undergraduate Research Program 2022 hosted by The Chinese University of Hong Kong.
Qunzhong Wang, Fangzhou Ge. I worked with them as their tutor in the Summer Undergraduate Research Program 2024 hosted by The Chinese University of Hong Kong.

online social networks | user modeling

Representative Papers