Yajun Yang's Home Page

杨雅君（Yajun Yang）

副教授，博士生导师

天津大学，智能与计算学部，人工智能学院

地址: 天津市津南区雅观路135号天津大学北洋园校区55楼A410

邮箱: yjyang@tju.edu.cn

个人简介

杨雅君，天津大学人工智能学院副教授/博士生导师。研究方向为：大模型知识增强、社会计算、图计算和图挖掘。目前担任中国计算机学会数据库专业委员会执行委员、信息系统专业委员会执行委员。分别于哈尔滨工业大学计算机科学与技术学院和数学与应用数学学院获得博士学位和学士学位，师从李建中教授和高宏教授。曾在香港中文大学系统工程管理系担任和澳大利亚格里菲斯大学信息工程学院担任访问学者。目前在SIGMOD/VLDB/ICDE/KDD/NeurIPS/TOIS/ICDM/CIKM等国际会议和期刊上发表论文40余篇。主持国家自然基金重点项目课题、面上项目、青年项目、重点研发计划子课题等多项国家级项目。长期担任 CIKM、DASFAA、APWEB-WAIM、ADMA 等国际重要学术会议程序委员会委员，以及担任 TKDE、WWW、Pattern Recognation、Information Science 等国际顶级或重要学术期刊和会议的审稿人。

欢迎有意加入我们团队攻读硕士/博士研究生的同学与我联系，请邮件咨询 yjyang@tju.edu.cn.

研究方向

大模型知识增强
社交网络分析与计算
图数据管理、图挖掘、图机器学习

近年来代表性论文（第一作者/通讯作者）

[SIGKDD] Zihan Feng, Yajun Yang*, Xin Huang, Hong Gao, Liping Jing, Qinghua Hu. Efficient Sphere-Effect Based Information Diffusion Prediction on Large-scale Social Networks. The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025) (CCF推荐A类会议), 2025. [PDF]
[AAAI] Junliang Li, Yajun Yang*, Yujia Zhang, Qinghua Hu, Alan Zhao, Hong Gao. Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction. The AAAI Conference on Artificial Intelligence (AAAI 2025) (CCF推荐A类会议), 2025. [PDF][Bibtex]
[DASFAA] Zihan Feng, Rui Wu, Yajun Yang*, Hong Gao, Xin Wang, Xueli Liu, Qinghua Hu. Multi-level Contrastive Learning on Weak Social Networks for Information Diffusion Prediction. Database Systems for Advanced Applications - 29th International Conference (DASFAA 2024) (CCF推荐B类会议), 2024. [PDF][Bibtex]
[SIGMOD] Yajun Yang, Hanxiao Li, Xiangjv Zhu, Junhu Wang, Xin Wang*, Hong Gao. An Effective Index Method for Historical Reachability Queries over Evolving Graphs. The 2023 ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2023) (CCF推荐A类会议), 2023. [PDF][Bibtex]
[NeurIPS] Junliang Li, Yajun Yang*,Qinghua Hu, Xin Wang, Hong Gao. Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion. Advances in Neural Information Processing Systems 36 (NeurIPS 2023) (CCF推荐A类会议), 2023. [PDF][Bibtex]
[ICDM] Junliang Li, Yajun Yang*,Qinghua Hu, Xin Wang, Hong Gao. Hierarchical Label Inference Incorporating Attribute Semantics in Attributed Networks. The 2023 IEEE International Conference on Data Mining (ICDM 2023) (CCF推荐B类会议), 2023. [PDF][Bibtex]
[TOIS] Hang Zhang, Yajun Yang*, Xin Wang, Hong Gao, Qinghua Hu. MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks. ACM Transactions on Information Systems (TOIS 2023) (CCF推荐A类期刊), 2023. [PDF][Bibtex]
[DASFAA] Tianbao Wang, Yajun Yang*, Qinghu Hu, Hong Gao. MRSCN: A GNN-based Model for Mining RelatIOnship Strength Changes between Nodes in Dynamic Networks. Database Systems for Advanced Applications - 28th International Conference (DASFAA 2023) (CCF推荐B类会议), 2023. [PDF][Bibtex]
[软件学报] LI Zhong-Fei, YANG Ya-Jun*, WANG Xin. Rule Based Shortest Path Query Algorithm. (In Chinese). Journal of Software (CCF推荐A类中文期刊), 2019. [PDF]
[VLDB] Yajun Yang, Hong Gao, Jeffrey Xu Yu*, Jianzhong Li. Finding the Cost-Optimal Path with Time Constraint over Time-Dependent Graphs. The 40th International Conference on Very Large Databases (VLDB 2014) (CCF推荐A类会议), 2014. [PDF][Bibtex]

研究项目

基于大语言模型的可解释多模态学习方法研究，国家自然科学基金重点项目，课题负责人（课题三：大语言模型知识增强）。
复杂舆论场环境下大规模社交网络舆情事件传播预测关键技术研究，国家自然科学基金面上项目，项目负责人。
自动化集装箱起重机货运放置点位智能推荐算法，天津港合作项目，项目负责人。
港口自动化起重机货运集装箱装船配载方案智能生成算法技术服务，天津港合作项目，项目负责人。
XXXX算法技术服务，中国电子科技集团第五十四研究所，项目负责人。
社交媒体敏感热点内容传播动力学研究，人民网全国重点实验室共建项目，项目负责人。
基于复杂网络的协同智能计算和边缘自治优化方法，国家重点研发计划，子课题负责人。
大规模动态图中不稳定子结构挖掘算法研究，国家自然科学基金青年项目，项目负责人。

毕业生去向

李俊良腾讯文心一言
徐晓蕤字节跳动
王天保中国航空工业集团沈阳飞机设计研究所
普林发腾讯金融
张航天津市国税局
潘子安快手
李晗笑西安应用光学研究所
李忠飞银河证券
于鹏天津市城市规划设计研究总院
潘晶中国农业银行研发中心天津研发部

课程

算法设计与分析 (A01, A02, A03, A04, A05, A06, A07, A08, A09, A10, A11, A12)
人工智能数学基础（M01, M02, M03, M04, M05, M06, M07）

Yajun Yang（杨雅君）

Associate Professor, Doctoral Supervisor

College of Intelligence and Computing
Tianjin University (TJU), Tianjin, China

Address: Room A410, 55th Building, Beiyang Park Campus, Tianjin University, No.135 YaGuan Road, Tianjin (150001), China

Email: yjyang@tju.edu.cn

About Me

Yajun Yang, Associate Professor & Ph.D. Supervisor, School of Artificial Intelligence, Tianjin University. Research Interests: Knowledge Enhancement for Large Language Models, Social Computing, Graph Computing and Graph Mining. Currently serving as an executive committee member of Technology Committee of Information System and Technology Committee of Database in CCF. I received my Ph.D. and B.S. degrees respectively from Harbin Institute of Technology, School of Computer Science and Technology and School of Mathematics and Applied Mathematics, under the supervision of Professors Li Jianzhong and Gao Hong. I have been a visiting scholar at the Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong and the School of Information and Communication Technology, Griffith University, Australia. I have published over 40 papers in international conferences and journals such as SIGMOD/VLDB/ICDE/KDD/NeurIPS/TOIS/ICDM/CIKM. I have hosted several national-level projects, including key projects of the National Natural Science Foundation, general projects, youth projects, and sub-projects of key research and development plans. I have long served as a program committee member for important international academic conferences such as CIKM, DASFAA, APWEB-WAIM, and ADMA, and as a reviewer for top or important international academic journals and conferences such as TKDE, WWW, Pattern Recognition, and Information Science.

Prospective master’s or Ph.D. students interested in joining our team are welcome to contact me via email at yjyang@tju.edu.cn.

Research Insterests

Knowledge Enhancement for Large Language Models
Social Network Analysis and Computing
Graph Data Management, Graph Mining, Graph Learning

Selected Publications

[KDD] Zihan Feng, Yajun Yang*, Xin Huang, Hong Gao, Liping Jing, Qinghua Hu. Efficient Sphere-Effect Based Information Diffusion Prediction on Large-scale Social Networks. The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025) (CCF-A), 2025. [PDF]
[AAAI] Junliang Li, Yajun Yang*, Yujia Zhang, Qinghua Hu, Alan Zhao, Hong Gao. Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction. The AAAI Conference on Artificial Intelligence (AAAI 2025) (CCF-A), 2025. [PDF][Bibtex]
[DASFAA] Zihan Feng, Rui Wu, Yajun Yang*, Hong Gao, Xin Wang, Xueli Liu, Qinghua Hu. Multi-level Contrastive Learning on Weak Social Networks for Information Diffusion Prediction. Database Systems for Advanced Applications - 29th International Conference (DASFAA 2024) (CCF-B), 2024. [PDF][Bibtex]
[SIGMOD] Yajun Yang, Hanxiao Li, Xiangjv Zhu, Junhu Wang, Xin Wang*, Hong Gao. An Effective Index Method for Historical Reachability Queries over Evolving Graphs. The 2023 ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2023) (CCF-A), 2023. [PDF][Bibtex]
[NeurIPS] Junliang Li, Yajun Yang*,Qinghua Hu, Xin Wang, Hong Gao. Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion. Advances in Neural Information Processing Systems 36 (NeurIPS 2023) (CCF-A), 2023. [PDF][Bibtex]
[ICDM] Junliang Li, Yajun Yang*,Qinghua Hu, Xin Wang, Hong Gao. Hierarchical Label Inference Incorporating Attribute Semantics in Attributed Networks. The 2023 IEEE International Conference on Data Mining (ICDM 2023) (CCF-B), 2023. [PDF][Bibtex]
[TOIS] Hang Zhang, Yajun Yang*, Xin Wang, Hong Gao, Qinghua Hu. MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks. ACM Transactions on Information Systems (TOIS 2023) (CCF-A), 2023. [PDF][Bibtex]
[DASFAA] Tianbao Wang, Yajun Yang*, Qinghu Hu, Hong Gao. MRSCN: A GNN-based Model for Mining RelatIOnship Strength Changes between Nodes in Dynamic Networks. Database Systems for Advanced Applications - 28th International Conference (DASFAA 2023) (CCF-B), 2023. [PDF][Bibtex]
[JS] LI Zhong-Fei, YANG Ya-Jun*, WANG Xin. Rule Based Shortest Path Query Algorithm. (In Chinese). Journal of Software (CCF-A Chinese), 2019. [PDF]
[VLDB] Yajun Yang, Hong Gao, Jeffrey Xu Yu*, Jianzhong Li. Finding the Cost-Optimal Path with Time Constraint over Time-Dependent Graphs. The 40th International Conference on Very Large Databases (VLDB 2014) (CCF-A), 2014. [PDF][Bibtex]

Research Fundings

Research on Interpretable Multimodal Learning Methods Based on Large Language Models, Key Project of the National Natural Science Foundation of China, Principal Investigator (Project 3: Knowledge Enhancement for Large Language Models).
Research on Key Technologies for Propagation Prediction of Large-Scale Social Network Public Opinion Events in Complex Public Opinion Environment, General Program of the National Natural Science Foundation of China, Principal Investigator.
Intelligent Recommendation Algorithm for Cargo Placement Positions of Automated Container Cranes, Cooperative Project with Tianjin Port, Principal Investigator.
Technical Service for Intelligent Generation Algorithm of Cargo Container Loading and Stowage Scheme for Port Automated Cranes, Cooperative Project with Tianjin Port, Principal Investigator.
XXXX Algorithm Technical Service, The 54th Research Institute of China Electronics Technology Group Corporation, Principal Investigator.
Research on the Propagation of Sensitive and Trending Topics on Social Media，State Key Laboratory of Communication Content Cognition Funded Project, Principal Investigator.
Research on Collaborative Intelligent Computing and Edge Autonomy Optimization Method on Complex Networks, Subproject of National Key Research and Development Program of China, Subproject Principal Investigator.
Research on Mining Algorithms for Unstable Sub-structures on Large Dynamic Graphs，National Natural Science Foundation of China, Principal Investigator.

Graduate Destinations

Junliang Li	Tencent ERNIE Bot
Xiaorui Xu	ByteDance
Tianbao Wang	AVIC Shenyang aircraft industry (Group) Co., Ltd
Pinfa Pu	Tencent Financial Services
Hang Zhang	Tianjin Municipal Tax Service, State Taxation Administration
Zi'an Pan	Kuaishou
Hanxiao Li	Xi'an Institute of Applied Optics
Zhongfei Li	Galaxy Securities
Peng Yu	Tianjin Urban Planning and Design Institute
Jing Pan	Tianjin R&D Department of R&D Center, Agricultural Bank of China

Teaching

Algorithm Design and Analysis (A01, A02, A03, A04, A05, A06, A07, A08, A09, A10, A11, A12)
Mathmatic on Artificial Intelligence（M01, M02, M03, M04, M05, M06, M07）