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, supervised by Prof. Bo Liu/刘波) with the Outstanding Ph.D. Dissertation Award in Jiangsu Province (江苏省计算机学会优博论文，全江苏省仅6人；同时获江苏省学位委员会-优博论文奖，院系同专业仅1人). In the same year, he visited Zhejiang Lab (之江实验室) 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) 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), supervised by ARC Future Fellow (澳大利亚杰青) Prof. Hongzhi Yin/阴红志.

Research: His current research interests include online social networks, especially responsible network learning issues in social network analytics. He has published 18 CORE A*, 15 CCF A, and 17 SCI (including 8 IEEE Trans), some of which appear in SIGKDD, VLDB, The Web Conference (WWW), TKDE, NeurIPS, ICLR, TOIS, IJCAI, WSDM, TNNLS, CIKM, 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 Fellow 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、执委会委员，当选时是委员会中唯一一为博士后). He is currently serving as the Associate Editor of Big Data Mining and Analytics/大数据挖掘与分析(英文), and the Journal of Social Computing. He served as the PC member or reviewer for many reputable conferences and journals such as SIGKDD (2020, 2021, 2022, 2023, 2024, 2025), TKDE, IJCAI 2024, ICLR (2024, 2025), NeurIPS 2023, The Web Conference (2023, 2024), SIGIR 2021, ICDE 2021, VLDB 2022, DASFAA (2020, 2023, 2024), WSDM 2025, SDM 2024, CIKM (2024), TNNLS, etc. 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).

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

Selected News
[2024.09.26] We have one paper accepted by NeurIPS 2024
[2024.08.13] I was invited as the Reviewer of ICLR 2025.
[2024.07.16] We have two papers accepted by CIKM 2024.
[2024.07.08] I was invited as the PC Member of WSDM 2025.
[2024.07.06] I was invited as the PC Member/Reviewer of KDD 2025.
[2024.06.14] I am so happy to share that our WSDM21 paper was ranked as one of the Top 10% Most Cited Papers in WSDM 21, as reported by Scopus!
[2024.06.01] I am so happy to share that our KDD23 paper was recognized as one of the Most Influential Papers in KDD23, as reported by Paper Digest!
[2024.05.25] We are invited to give a 3-hour tutorial on Graph Intelligence with Large Language Models and Prompt Learning at SIGKDD 2024!
[2024.05] We have two papers accepted by SIGKDD 2024!
[2024.05] Invited as Program Chair (Shepherding Track) in ADC 2024 (The 2024 Australian Database Conference)
[2024.05] Our KDD 23 paper was invited to present at the IJCAI 2024! (Sister Conferences Best Paper Track)
[2024.05.11] I'm so happy to share that I won the Outstanding Ph.D. Dissertation Award in Jiangsu Province 2023 (江苏省计算机学会授予的优博论文奖，全江苏省仅6人；此前已获得江苏省学位委员会授予的优博论文奖）
[2024.04] Our survey paper was accepted by IJCAI 2024!
[2024.01] One paper accepted by ICLR 2024!
[2023.12] I'm so happy to share that I won the Outstanding Ph.D. Dissertation Award in Jiangsu Province 2023 (江苏省学位委员会授予的优博论文奖). Only 1 winner from Computer Science & Technology/计算机科学与技术专业 at Southeast University. 同时获江苏省计算机学会授予的优博论文奖
[2023.11]^🔥 We are so happy to release ProG, a Python library for Graph Prompt!
[2023.08] I'm so proud to share that my previous student (co-supervised with Prof. Guandong XU), and also a strong cooperator, Mr. Yanyi Pu, recently received his Ph.D. offer from The University of Sheffield. Before that, he studied as a visiting student at UTS and then came to the University of Cambridge for his M.Phil. Congrats to Yanyi!
[2023.08] I'm delighted to announce that our paper has won the Best Research Paper Award at KDD'23! This is the first time for Hong Kong and mainland China in KDD history. I want to express my great gratitude to my co-authors for their professional collaboration and teamwork!^👏
[2023.05] I'm so happy to share that I was recognized as the "Social Computing Rising Star" (社会计算青年学者新星) from the Chinese Association for Artificial Intelligence (CAAI), Professional Committee of Social Computing and Social Intelligence (中国人工智能学会-社会智能专委会).
[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).
[2022.04-2022.05] Zhejiang Lab (之江实验室). Visiting Researcher with Chief Scientist Prof. Hongyang Chen (陈红阳)
[2021.08-2022.02] Microsoft Research Asia, Research Intern in DKI group. with Dr. Hang Dong (董航) and Dr. Bo Qiao (乔波)
[2019.09-2021.09] The University of Queensland (UQ), Joint Ph.D. student. Supervisor: Prof. Hongzhi Yin (阴红志)
[2018.03-2022.03] Southeast University (SEU), Ph.D. student. Supervisor: Prof. Bo Liu (刘波)
[2016.09-2018.03] Southeast University (SEU), Master Candidate. Computer Science
[2012.09-2016.09] Dalian University of Technology (DUT), B.S. Electronic Information Engineering

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). 获“最佳研究论文奖”，为KDD会议自创立以来中国大陆和港澳地区范围内首次。并入选KDD23最具影响力论文。提出面向多任务的“通用图提示学习”这一重要科学概念，获得学术界的广泛采纳并促成学术界同行开展了很多后续的研究工作，为通用图智能算法开辟了一个全新的研究领域。为此，国际顶尖人工智能会议IJCAI 2024程序委员会特邀我们在他们的大会上对该论文内容进行二次报告。论文工作被“香港新闻网”、“香港中文大学新闻中心”、“机器之心”、知乎等媒体平台广泛报道。例如，“香港新闻网”报道了SIGKDD 评审委员会对该工作的肯定：“这项工作为未来建立通用图 AI 模型奠定了基础，并可能对神经科学等应用产生深远的影响 ”。一些学术界同行在著名社交媒体平台知乎公开讨论此工作，给出了“大道至简！Easy and Efficient!”等评价；国外社交网站 X (Twitter)上也产生了一些对该项工作的讨论，部分学术同行认为我进行的是一项“非常有趣”的工作。这项工作获得了同行们极大的关注，请点击此处链接获取更详细的同行评价。
🔥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）由于其在异质超图方面的创造性贡献，这项工作被国内计算机顶尖期刊《软件学报》的综述类研究大篇幅重点报道，获得了同行的积极评价（软件学报综述“图神经网络在复杂图挖掘上的研究进展”. 2022.33 (10): 3582-3618, 西北工业大学. 刘杰等)；欧洲科学院院士、ACM 和 IEEE Fellow Christian S. Jensen 教授认为，我提出的异质超图小波基模型是业界最新 (state-of-the-art solutions)，解决了很多(many)超图领域的问题；数据挖掘领域的奠基者、ACM 和 IEEE Fellow、伊利诺伊大学香槟分校 Jiawei Han/韩家炜教授，在[ICDM '22] THINK: Temporal Hypergraph Hyperbolic Network 论文中，借鉴使用了这里的复杂超图关系构建方法，在时空数据分析中取得了业界领先的性能。"Following [37], we created hyperedges based on the neighborhood of each node." 请点击此处链接获取更详细的同行评价。
🔥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) 这篇论文只经历了一轮评审就获得录用，这在TKDE这类顶尖期刊中是很少见且难得的🙃。欧洲科学院院士、剑桥大学 Pietro Lio 教授，在其线上发表的 arXiv 论文Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design中对该篇论文的创造性贡献不吝溢美之词。直接采纳了我对社会等价性 (social equivalence) 和同质性 (social conformity) 两个重要社会学规律的量化方案。认为我提出的方法可以“更加准确 (more accurate)”地建模复杂交互关系。在论文补充材料中开辟专门的独立章节“Further consideration on the concepts of simulated social environment evolving and group entropy from Sun et al. (2023)”，对我的这篇论文进行更加详细的分析，认为引入群体熵(group entropy)的概念能够“显著地 (noteworthy)”表征演化建模，“ 有效地 (effectively)”补充自己的工作；伦敦大学(University of London) 的 Paul D. Yoo 教授在论文[ArXiv 24] Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey 中评价我提出的融合社会学规律的超图学习框架是“创建复杂精确推荐系统的关键 (…this approach is key to creating sophisticated and precise recommendation systems)”. 请点击此处链接获取更详细的同行评价。
🔥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) 这篇论文承载了我在微软亚洲研究院交流期间的美好回忆，比较具有纪念意义🙂. 首次提出“反经验攻击”这一用户评分系统设计的全新思想，通过在微软亚洲研究院 Azure 内部计算资源平台管理中的试用，验证了设计思路的有效性. 请点击此处链接获取更详细的同行评价。
🔥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) IEEE Fellow、中国科学院大学Liang Wang教授在论文 [ArXiv '23] Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing 认为这一工作是对传统图方法异常性检测的“进一步改进(further proposed)”；澳门大学 Dingqi Yang 教授在顶级期刊ACM Computing Surveys发表的论文A Survey on Hypergraph Representation Learning中评述这一工作能够捕获上下文信息“提升(improve)”节点级别的图分析任务。请点击此处链接获取更详细的同行评价。
🔥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%) 这是我读博期间所在课题组历史上首次发表CCF A类论文，比较具有纪念意义🙂。加拿大皇家科学院和工程院两院院士、ACM 和 IEEE Fellow、前华为首席科学家、杜克大学裴健教授在论文[WWW '22] Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction中认为以这项工作为代表的方法在社会网络关系预测方面显示出卓越的性能“Graph Neural Networks...have shown superior performance in... social network link prediction [39,...”； IEEE Fellow、香港科技大学计算机系主任周晓方(Xiaofang Zhou)教授在World Wide Web Journal上的论文Implicit relation-aware social recommendation with variational auto-encoder 中认为我提出的超图结构学习方法在社会关系预测中取得了卓越 (superiority)的性能。请点击此处链接获取更详细的同行评价。
🔥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)这篇论文很年轻，暂时还没有更多的同行评议，但我相信用不了多久就会看到很多，欢迎各位同行对这篇论文工作提出宝贵意见！
🔥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) 这篇论文很年轻，暂时还没有更多的同行评议，但我相信用不了多久就会看到很多，欢迎各位同行对这篇论文工作提出宝贵意见！
🔥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) 社会计算领域顶尖期刊，录用率仅 10%左右。北京邮电大学吴斌教授在发表于 CIKM`23 的论文 PCENet: Psychological Clues Exploration Network for Multimodal Personality Assessment 中论述申请人基于多模态数据的人格分析框架能够挖掘跨模态数据的一致性 (consistency)和独特性(uniqueness)，跨越了多模态数据的不变空间和特定空间，“ 提升 (improved)”了这一领域的研究水平。索尼 AI 高级技术官 Samy Badreddine 和韩国世宗大学助理教授 Donghyeon Park 在 Expert Systems with Applications 上的论文提到：申请人在多模态人格分析方面的工作将会帮助他们已开发的产品系统 KitchenScale（一种餐饮推荐产品）实现更加“ 个性化 (personalized)”的服务。IEEE Fellow、北京师范大学贾维嘉 (Weijia Jia) 教授，与悉尼科技大学 Shui Yu 教授合著的论文[Digital Communications and Networks] A survey on deep learning for textual emotion analysis in social networks 评价申请人在多模态心理分析的工作比单模态能够获得更丰富的情绪表达(with greater description and vividness)。请点击此处链接获取更详细的同行评价。
🔥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.) 这篇论文很年轻，暂时还没有更多的同行评议，但我相信用不了多久就会看到很多，欢迎各位同行对这篇论文工作提出宝贵意见！
🔥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, https://arxiv.org/abs/2406.05346)这篇论文很年轻，暂时还没有更多的同行评议，但我相信用不了多久就会看到很多，欢迎各位同行对这篇论文工作提出宝贵意见！

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
Fellow 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为博士后，其他委员均为正教授、副教授，或助理教授，同时担任新星执委会委员）
Young Associate Editor: Journal of Social Computing.
Guest Editor: Special Issue on Application of Big Data Analysis and Mining, Electronics (IF: 2.9, ISSN 2079-9292)
Guest Editor: Special Issue on Assessing Sentience of AI Systems, Journal of Social Computing
Guest Editor: Special Issue: [Electronics] Application of Big Data Analysis and Mining.
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
🔥Qunzhong Wang, Xiangguo Sun, Hong Cheng. Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis. https://arxiv.org/abs/2410.01635 (co-first author, corresponding author, Qunzhong finished this work under my supervision.)
🔥Guibin Zhang, Xiangguo Sun, Yanwei Yue, Kun Wang, Tianlong Chen, Shirui Pan. Graph Sparsification via Mixture of Graphs. https://arxiv.org/abs/2405.14260v1 (co-first author, Guibin finished this work under my supervision.)
Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Dawei Cheng. G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks. https://arxiv.org/abs/2410.11782 (corresponding author, Guibin 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. https://arxiv.org/abs/2410.11719 (corresponding author, Guibin finished this work under my supervision.)
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)
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.https://www.arxiv.org/abs/2408.05920
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
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