Junjie Huang

(黄俊杰)

Introduction

Hi! 👋 I joined the College of Computer and Information Science at Southwest University (SWU) in 2023, after earning my Ph.D. in Computer Science from the Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS). In short, 🎓 PKUer -> ICTer -> SWUer.

My research lies at the intersection of Computational Social Science (CSS) and socially aware AI. I am broadly interested in complex social relations in networked environments, especially problems related to polarization, conflict, and social safety.

Along this line, I have long worked on signed social networks and their representation learning, with particular interests in modeling positive and negative social relations, dynamic social behavior analysis, and robust inference for downstream tasks. I also explore their applications in social computing scenarios such as recommender systems, peer review, and voting prediction. More recently, I have been extending this line of research toward social safety, social polarization, and social conflict, aiming to understand how risks emerge and propagate through complex relational structures.

In addition, my current research agenda increasingly focuses on LLM-driven social agents, especially for social simulation, human-agent interaction, collective behavior modeling, and broader social computing applications such as Education🏫 and Polymarket💰.

I welcome discussions and collaborations on social network analysis, polarization and conflict modeling, social simulation, and socially grounded AI.

Education && Experience

• Associate Professor, College of Computer and Information Science, Southwest University, Chongqing, China 2023 -
  Research Interest: Computational Social Science (Social Computing), Social Network Analysis.
  Department: Computer Science
• Ph.D., Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. 2017 - 2023
  Advisor: Prof. Xueqi Cheng and Prof. Huawei Shen
  Ph.D. Topic: Signed Graph Representation Learning
• B.S., Department of Information Management, Peking University, Beijing, China. 2013 - 2017
  Bachelor of Science in Information Management & Information System
  Bachelor of Science in Computer Science & Technology (Double Major)

Selected Publications

Full publications see Google Scholar

1. Inductive Dual-Polarity Modeling via Static–Dynamic Disentanglement for Dynamic Signed Networks
   Yikang Hou, Junjie Huang★, Yijun Ran, Tao Jia

   C 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2026) , Full Research Paper

   [Paper][Github]
2. LIR$^3$AG: A Lightweight Rerank Reasoning Strategy Framework for Retrieval-Augmented Generation
   Guo Chen, Junjie Huang★, Huaijin Xie, Fei Sun, Tao Jia

   C 40th AAAI Conference on Artificial Intelligence (AAAI2026) , Full Research Paper

   [Paper][Slides][Poster][Github]
3. IMGSL: Citation-based Innovation Motif Graph Structure Learning for scholar profiling
   Junjie Huang, Mingshu Ai, Xian Li, Yi Bu, Tao Jia

   J Information Processing & Management (IPM) , Volume 63, Issue 8, December 2026, 104956

   [Paper][Github]
4. What makes a successful rebuttal in computer science conferences? : A perspective on social interaction
   Junjie Huang, Win-bin Huang, Yi Bu, Qi Cao, Huawei Shen, Xueqi Cheng

   J Journal of Informetrics (JOI) , Volume 17, Issue 3, August 2023, 101427

   [Paper][Poster]
5. Negative Can Be Positive: Signed Graph Neural Networks for Recommendation
   Junjie Huang, Ruobing Xie, Qi Cao, Huawei Shen, Shaoliang Zhang, Feng Xia, Xueqi Cheng

   J Information Processing & Management (IPM) , Volume 60, Issue 4, July 2023, 103403

   [Paper][Poster]
6. Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation
   Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng

   C 28th International Conference on Database Systems for Advanced Applications (DASFAA2023) , Regular Paper

   [Paper][Slides][Github]
7. Signed Bipartite Graph Neural Networks
   Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng

   C 30th ACM International Conference on Information and Knowledge Management (CIKM2021) , Full Research Paper

   [Paper][Slides][Poster][Github]
8. How Medical Crowdfunding Helps People? A Large-scale Case Study on Waterdrop Fundraising
   Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng

   C 15th International AAAI Conference on Web and Social Media (ICWSM2021) , Full Paper

   [Paper][Slides]
9. SDGNN: Learning Node Representation for Signed Directed Networks
   Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng

   C 35th AAAI Conference on Artificial Intelligence (AAAI2021) , Full Paper

   [Paper][Github]

Selected Awards

Course Teaching

• Artificial Intelligence and Smart Agriculture Applications Intranet Spring, 2025
• Operating System Principles, 2023 Software Engineering, Sino-Foreign Cooperative Education Program Intranet Spring, 2025
• Operating System Principles, 2022 Computer Science, Sino-Foreign Cooperative Education Program Intranet Fall, 2024

Academic Services

• Conference Reviewers

SIGIR, WWW, KDD, AAAI, CIKM, WSDM

• Journal Reviewers

TKDE, TOIS, IPM, Neural Networks, Plos One

• Academic Membership

China Computer Federation (CCF)、CCF YOCSEF Chongqing AC (2024-2026)、Chinese Information Processing Society of China(CIPS), Social Media Processing(CIPS-SMP)