黄俊杰

(Junjie Huang)

个人简介

我的研究主要聚焦于计算社会科学（Computational Social Science, CSS）与社会智能，关注网络化社会环境中的复杂社会关系及其带来的极化、冲突与风险问题。
围绕这一方向，我长期开展符号社交网络（Signed Social Networks）建模与表示学习研究，重点关注带有正负关系的社会网络表示、动态演化分析与稳健推断方法，并探索其在推荐系统、同行评议、投票预测等社会计算场景中的应用。近年来，我也逐步关注社交安全、社会极化与社交冲突等问题，希望从复杂关系结构中理解风险形成与传播机制，并为相关分析与干预提供计算方法支持。
当前，我重点推进大语言模型驱动的社会智能体研究（Social Agents），关注其在社会模拟、人机交互、群体行为建模以及社会计算应用(例如，教育教学🏫, 预测市场💰）中的潜力。

研究背景

• 西南大学计算机与信息科学学院 软件学院 副教授， 2023 -
  研究兴趣: 社会计算(计算社会学), 社会网络分析
  部门：计算机科学系
• 中国科学院计算技术研究所 博士， 2017 - 2023
  计算机应用技术
  导师: 程学旗研究员 和 沈华伟研究员
  
• 北京大学信息管理系 学士， 2013 - 2017
  信息管理与信息系统 (计算机科学与技术专业双学位)

代表性论文

完整论文列表见 Google Scholar ★代表通讯作者

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) , (CCF-A) , 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) , (CCF-A) , 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) , (中科院1区，CCF-B) , 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) , (中科院2区) , 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) , (中科院1区，CCF-B) , 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) , (CCF-B) , 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) , (CCF-B) , 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) , (CCF-B) , 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) , (CCF-A) , Full Paper

   [Paper][Github]

代表性荣誉

课程教学

• 操作系统原理，2023级软工中外 2025年春季学期
• 操作系统原理，2022级计科中外 2024年秋季学期

学术服务

• 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)