Xiangguo SUN

Xiangguo SUN
_{Next Generation of AI for Social Science}
Dr. Xiangguo Sun is now working as a Postdoctoral Research Fellow (俗称“学术临时工”，但正在努力转正成为“学术包工头”) at The Chinese University of Hong Kong, supervised by Prof. Hong Cheng. Before that, he received his Ph.D. in 2022 from Southeast University, supervised by Prof. Bo Liu. In the same year, he visited Zhejiang Lab as a visiting researcher hosted by Chief Scientist Prof. Hongyang Chen. He worked as a research intern at Microsoft Research Asia with Dr. Hang Dong and Bo Qiao (在MSRA牛逼的大楼里度过了半年几乎没怎么见过太阳的日子——因为工位的显示器实在太亮了). In 2019, he came to Australia as a 2-year joint Ph.D. student at The University of Queensland, supervised by ARC Future Fellow Prof. Hongzhi Yin (阴老师以极高的效率和质量反馈而闻名，在他的指导下，我成功地将我的工作效率从“deadline战士”提升到了“ddl领主”).

CV Download (update in Nov. 5th 2024)
Email: xiangguosun at cuhk dot edu dot hk
🔬 Research:
His current research interests include data mining, online social networks, and social computing, especially the issues related to the next generation of AI for social science, some of which were published in SIGKDD, VLDB, TKDE, NeurIPS, ICML, ICLR, The Web Conference (WWW), WSDM, CIKM, TOIS, TNNLS, RecSys, IJCAI, etc. 最终目标是让我的H-index 追上我的身高(单位：厘米)，目前看来前者增长得更快一些 :_D )
As reported by Paper Digest (2025-03), he has 2 first-authored papers, and 1 co-authored paper ranked as the Most Influential Papers in KDD 2023, KDD 2024, and IJCAI 2024, respectively.
As reported by Web of Science (2025-06), he has 1 first-authored paper ranked as Top 1% Most Cited Papers in KDD 2023; 1 first-authored paper, and 4 co-authored papers ranked as Top 10% Most Cited Papers in WSDM 2021, KDD 2020, WSDM 2021, CIKM 2021, and IJCAI 2024, respectively.
By 2025-08, his google scholar citation 2057, H-index 23, and 6 papers with 100+ citation times.
🧺 Service:
Dr. Xiangguo Sun was elected as a Member of the Professional Committee of Social Computing and Social Intelligence, CAAI. (当选时是委员会中唯一一位博士后，兼任第三届新星学者执委会主席。每次填表写这个头衔都要占掉三行，但我还是很乐意 :_) )
He is currently serving as:1️⃣ Editor of Information Processing and Management (IP&M，SCI Q1, 中科院一区TOP，CCF B) 2️⃣ 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) 3️⃣ Associate Editor of Journal of Social Computing.
He was recognized as the Outstanding/Excellent/Distinguished/Best 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 Computing，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, AAAI 2026, The Web Conference (2023, 2024, 2025), SIGIR 2021, ICDE 2021, VLDB 2022, DASFAA (2020, 2023, 2024, 2025), WSDM (2025, 2026), SDM 2024, CIKM (2024, 2025), TNNLS, etc.

🛎️ Selected News
[2025. June] join the Editorial Board of Journal of Social Computing.
[2025. June] Join the Editorial Board of Information Processing and Management (IP&M，SCI Q1, 中科院一区TOP)
[2025.June] 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
[2024.05.25] Invited 3-hour tutorial at SIGKDD 2024 (Graph Intelligence with Large Language Models and Prompt Learning)
[2024.05] invited to present our KDD 23 paper at IJCAI 2024 (Sister Conferences Best Paper Track)
[2022.03] Become Dr. Sun!
[1992.11.14] I was born!
🏫 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, ranked as Top 3 Most Influential Papers by Paper Digest 2025-03, and TOP 1% Most Cited Papers by Web of Science 2025-06, 因为这篇论文，相亲的时候变得容易了一些，间接使我遇到了现在的妻子，不过她对我的研究一窍不通 :_) ).
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，个人目前为止最满意的一篇工作，虽然现在不怎么被人关注，但我相信十年之后人们依然不会发现它的价值)
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%, ranked as Top 10% Most Cited Papers in WSDM 21 by Web of Science 2025-06，被著名开源图计算标准库EasyGraph采纳为标准算法，其实这个开源库的leader是我的朋友，我是硬塞给他采纳的）
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。这是一篇修改了4轮，和审稿人掰扯了两年多的论文。理论上，这篇论文应该能为世界和平做出巨大贡献，如果审稿人能早点放过我的话。)
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%，学生时代的第一篇CCF A，实现了所在课题组A类论文零的突破，从此学生时代收获了一堆实验室迷妹迷弟)
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, 自以为很棒的一篇工作，图画的很漂亮，理念也很新颖，建议不要被它平平无奇的题目所蒙蔽了)
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, 想起了在微软交流的难忘瞬间, the last author Qingwei 在邮件里说这是一篇好的工作，我也这么认为。由于解决的问题非常新和小众，以至于目前还没见着多少引用和同类工作，但我深信这是一篇好工作，因为论文实验的每一行代码和每一个结果都是我亲自跑出来的，并且从idea到写作再到实验全程都没有大语言模型的参与)
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 Q1，一作是我协助指导的博士研究生，她因为论文录用过于兴奋，扭折了脚踝，拄了一个多月的拐，由此可见这篇论文的含“金”量还是很高的)
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%，虽然对论文研究了如指掌，但我就一打酱油的)
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，虽然对论文研究了如指掌，但我就一打酱油的)
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, 社会计算领域的顶尖期刊，录用率仅 10% 左右。本研究成功证明了：一个人在短视频里的性格，和他女朋友眼中的可能完全是两回事。AI模型的目标是搞清楚前者，而我希望自己永远别碰上后者这种难题。)
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.非常完美的一次合作！至今回想起来依然记忆犹新，对UC Berkeley学生Miss Shu的学习研究能力和沟通能力印象深刻，静待日后她成为一颗学术新星，然后我再拿这篇论文来碰瓷。Headhunters in the U.S. are most welcome to reach out to her :_) )
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, ranked as Top 6 Most Influential Papers in KDD24 by Paper Digest 2025-03，试图解决领域内一个非常重大的关键科学问题，解决得还行。)
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，独立领导研究生团队开发通用图提示工具箱ProG获得Github Stars 550+, 成为图提示方法的标准工具，被上海交大等多项同行研究使用，成为他们实验分析的重要工具)
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, 一作是我协助指导的博士生。本模型的理想是：你在淘宝看了一件卫衣，它就能在B站给你推荐最搭的穿搭视频。而它的现状是：距离解决我的选择困难症还差一篇SIGIR最佳论文的距离。)

🎲 ArXiv | Preprint | Under Review
您现在看到的这些“期货” ，其未来价值可能远超某些已发表的“现货”。投资有风险，但关注我不亏。
🔥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.
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
这里主要陈列着与我优秀的合作者们（包括我亲爱的学生们）共同完成的“集体荣誉”。我个人的主要贡献是：在作者列表里占一个位置 :_)
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)
Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yanchao Tan, Yu Rong, Hong Cheng, Lingling Yi. Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation. RecSys 2025.
Ziheng Chen, Jiali Cheng, Hadi Amiri, Kaushiki Nag, Lu Lin, Sijia Liu, Gabriele Tolomei and Xiangguo Sun. FROG: Fair Removal on Graph. CIKM 2025
Shaokui Gu, Yang Zhang, Xiangguo Sun, Shuo Yu, Xu Yuan, Qiang Duan, Fenghua Tong, Qingyuan Gong. Relational Diversification-based Anti-Mapping for Concealing User Preference. Tsinghua Science and Technology. 2025. (SCI JCR Q1, 中科院1区)
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, ranked as Top 6 Most Influential Papers by Paper Digest 2025-03, and TOP 10% Most Cited Papers by Web of Science 2025-06)
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%, ranked as TOP 10% Most Cited Papers (36/418) in KDD 2020 by Web of Science 2025-06).
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.)
Xiaorong Hao, Bo Liu, Xiangguo Sun, Jiuxin Cao, Ding Zhou, Xinwen Fu. Using Graph with Inter-connection Intervals Embedding to Discover Potential Threats in the Network. IEEE Transactions on Industrial Informatics. 2025. (IF=11.7, SCI Q1, 中科院1区TOP)
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, ac 18.6%, ranked as TOP 10% Most Cited Papers (15/158) in WSDM 2021 by Web of Science 2025-06)
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, ac 21.7%, ranked as TOP 10% Most Cited Papers (36/599) in CIKM 2021 by Web of Science 2025-06).
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)

🍉 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).(学生们在评价里说“是我见过最棒的TA”，我认为他们说得对，并建议加大调查样本量以进一步验证这个结论。)
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)
🍎 International Student Incubation Program (unofficially)
I had the pleasure of working with brilliant minds from around the globe as their tutor in the Summer Undergraduate Research Program hosted by The Chinese University of Hong Kong.(俗称“全球人才收割机”计划):
Year 2022: 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).
Year 2024: Qunzhong Wang, Fangzhou Ge.
🍇 Selected Academic Award
在下不才，有幸获得过
一些荣誉奖励，
但那些都只是虚名罢了，
没什么鸟用，
亦不必鸟它。
Though not that talented,
I've gotten some props.
But they are merely empty names—
They don’t mean shit,
And I don’t give a shit.
[只有聪明的学生才能看到下面👇的内容]
KDD2023 Best Research Paper Award. 是KDD顶会成立30多年以来，大陆和港澳范围内首次（历史上以第一作者获此荣誉的学者还有：斯坦福大学Jure Leskovec教授、推荐系统的奠基性学者Yehuda Koren、华盛顿大学Pedro Domingos教授等）(这个奖还是有点用的，比如在我妻子对我不耐烦的时候，我可以小声提醒她“我可是KDD最佳论文得主...”，这通常能为我赢得她短暂的沉默。)
"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（面向全球华人青年学者评选，同年度仅10人）
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.

Next Generation of AI for Social Science

🎯 Representative Papers

_{Next Generation of AI for Social Science}