Emailjindi [AT]tju[DOT]edu[DOT]cn

   Since July 2012, I have been an associate professor in Tianjin University .

   20127 月至今,天津大学智能与计算学部(计算机学院),副教授,博士生导师

   My current research interests include data mining, analysis of complex networks, and machine learning .

   研究方向:人工智能、数据挖掘、机器学习、社交网络挖掘

 
 

Academic Activities(学术活动)

· SPC of AAAI-18, AAAI-19, AAAI-20; Section Chair of AAAI-19

· Co-Chair of IJCAI-19 Workshop on BSMDMA

· Special Track Chair of KSEM-18 (CCF C类会议)

· PC member of IJCAI-13, IJCAI-16, AAAI-16, AAAI-17, AAAI-18, IJCAI-18, IJCAI-19, SIGKDD-19

     国际人工智能联合会议IJCAI-13、IJCAI-16、IJCAI-18、IJCAI-19程序委员会成员, 美国人工智能会议AAAI-16、AAAI-17、AAAI-18程序委员会成员, SIGKDD-19程序委员会成员

· Guest Editor for the Special Issue of Future Generation Computer Systems (i.e. GraphML, http://bit.ly/GraphML-FGCS)

· Reviewer of IEEE TKDE, IEEE TC, IEEE TNN, Information Sciences , Acta Automatica Sinica, Chinese Journal of Computer 

     国际期刊IEEE TKDE,  IEEE TC, IEEE TNN, Information Sciences ; 国内期刊 《自动化学报》, 《计算机学报》审稿人 

 

Honors (获奖情况)

 

 

· Best Paper Award in Acta Automatica Sinica, 2012

  2012年度《自动化学报》优秀论文奖

· Scholarship Award for Excellent Doctoral Student granted by Ministry of Education of China, 2011

  2011年度教育部博士研究生学术新人奖

· Peiyang Scholar Award of Tianjin University, 2014

  2014年度天津大学北洋学者-青年骨干教师  

· 2019年度ACM中国天津分会新星奖

· 2019年度智能与计算学部优秀青年人才成长助推计划

 

Education (教育情况)

 

 · 2019.9~2020.8: 美国UIUC访问学者,合作导师:Prof. Jiawei Han

 

 ·2013.12~2014.7: Post-doc researcher in School of Design, Engineering & Computing, Bournemouth University, UK

                               博士后研究员 ,英国伯恩茅斯大学,设计、工程与计算机系

 · 2010.9~2011.7:  Visiting PhD student in HASLab, Department of Informatics, University of Minho, Braga, Portugal

                              联合培养博士研究生,葡萄牙米尼奥大学,信息学院HASLab实验室

 · 2008.9~2012.6:  PhD in College of Computer Science and Technology, Jilin University, China

                              Dissertation: Research on Community Mining in Complex Networks

                       博士,吉林大学, 计算机科学与技术学院, 计算机应用技术专业

                       博士学位论文《复杂网络社区挖掘中若干关键问题研究

 ·  2005.9~2008.7: MS in College of Computer Science and Technology, Jilin University, China

                             硕士,吉林大学, 计算机科学与技术学院, 计算机应用技术专业

 ·  2001.9~2005.7: BS in College of Computer Science and Technology, Jilin University, China

                             学士吉林大学计算机科学与技术学院计算机科学与技术专业

 

 

Projects (主持项目)

 

· 1. National Natural Science Foundation of China: Research on accurate semantic community detection in large-scale complex networks with content (61772361). Jan 2018 - Dec 2021. (Project leader) 

      国家自然科学基金面上项目,61772361、面向大规模、带内容复杂网络的精准语义社团发现研究2018/01-2021/12在研、主持

· 2. 国家重点研发计划子课题12018/01-2020/12,在研、主持

· 3. 国家重点研发计划子课题22018/07-2021/06,在研、主持

· 4. National Natural Science Foundation of China: Research on hybrid node-link partitioning approaches for discovering overlapping communities in complex networks (61303110). Jan 2014 - Dec 2016. (Project leader) 

      国家自然科学基金青年项目,61303110、结点链接协同划分的复杂网络重叠社团发现方法研究、2014/01-2016/12、已结项、主持

· 5. PhD Programs Foundation of Ministry of Education of China: Research on unified node-link model for detecting overlapping communities in complex networks (20130032120043). Jan 2014 - Dec 2016. (Project leader) 

      教育部博士点基金新教师类,20130032120043、基于结点与链接统一模型的复杂网络重叠社团检测研究、2014/01-2016/12、已结项、主持

· 6. Peiyang Scholar Foundation of Tianjin University: Finding overlapping communities, hubs and outliers together in complex networks (2015XRG-0007). Jan 2015 - Dec 2016. (Project leader)

      天津大学北洋学者项目2015XRG-0007、复杂网络中重叠社团、社团中心和孤立点的同步探测研究、2015/01-2016/12、已结项、主持 

· 7. Open Project Program of Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education of China: Study on community detection in complex networks based on Markov dynamics (93K172013K02). Jan 2013- Dec 2014. (Project leader)  

      符号计算与知识工程教育部重点实验室开放课题,基于马尔科夫动力学的复杂网络社区检测方法研究、93K172013K022013.1-2014.12、已结项、主持 

· 8. Independent Innovation Foundation of Tianjin University. Jan 2013 - Dec 2014. (Project leader) 

      天津大学自主创新基金2015/01-2016/12已结项、主持

 

 

Publications for 2015 or later  (2015年后的论文)

 

2020 and beyond:

[1] Di Jin, Ge Zhang, Kunzeng Wang, Pengfei Jiao, Dongxiao He, Francoise Fogelman-Soulié, Xin Huang, Detecting Communities with Multiplex Semantics by Distinguishing Background, General and Specialized Topics, TKDE, 2020

[2] Di Jin, Xiaobao Wang, Dongxiao He, Jianwu Dang and Weixiong Zhang, Robust Detection of Link Communities with Summary Description in Social Networks, TKDE, 2020

[3] Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang, Modeling with node popularities for autonomous overlapping community detection, ACM Transactions on Intelligent Systems and Technology (TIST), 2020

[4] Xiaobao Wang, Di Jin*, Katarzyna Musial, Jianwu Dang. Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest. AAAI-20, Oral

[5] Liang Yang, Fan Wu, Yuanfang Guo, Junhua Gu, Chuan Wang, Xiaochun Cao, and Di Jin*, Graph Attention Topic Modeling Network, WWW-20, Oral

[6] Dongxiao He, Yue Song, Di Jin*, Zhiyong Feng, Binbin Zhang, Zhizhi Yu, Weixiong Zhang, Community-Centric Graph Convolutional Network for Unsupervised Community Detection, IJCAI’20

[7] Dongxiao He, Lu Zhai, Zhigang Li, Liang Yang, Di Jin, Yuxiao Huang, Philip S. Yu, Adversarial Mutual Information Learning for Network Embedding, IJCAI’20

[8] Di Jin, Binbin Zhang, Yue Song, Dongxiao He, ModMRF: A Modularity-based Markov Random Field Method for Community Detection, Neurocomputing, 2020

[9] Di Jin, Jing He, Bianfang Chai, Dongxiao He, Semi-Supervised Community Detection on Attributed Networks using Non-Negative Matrix Tri-Factorization with Node Popularity, Frontiers of Computer Science, 2020

[10] Di Jin, Xiaobao Wang, Mengquan Lu, Jianguo Wei, Wenhuan Lu, Francoise Fogelman-Soulié. Detection of generalized semantic communities in social networks, IEEE Transactions on Network Science and Engineering, 2020

 

2019:

[1] Di Jin, Rui Li, Junhai Xu, Multiscale Community Detection in Functional Brain Networks Constructed using Dynamic Time Warping, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2019

[2] Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang, Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks, IJCAI-19, Oral

[3] Dongxiao He, Wenze Song, Di Jin*, Zhiyong Feng, Yuxiao Huang, An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph, IJCAI-19, Oral

[4] Zesheng Kang, Liang Yang, Yuanfang Guo, Xiaochun Cao, Di Jin, Bo Yang, Optimal Graph Convolutional Network with Learnable Graph, IJCAI-19, Oral

[5] Di Jin, Jiantao Huang, Pengfei Jiao, Liang Yang, Dongxiao He, Françoise Soulie-Fogelman and Yuxiao Huang. A Novel Generative Topic Embedding Model by Introducing Network Communities, WWW-19, short paper

[6] Di Jin, Xinxin You, Weihao Li, Dongxiao He, Weixiong Zhang, Incorporating Network Embedding into Markov Random Field for Better community detection, AAAI-19, Oral

[7] Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang, Markov Random Field Meets Graph Convolutional Network Semi-Supervised Community Detection in Attribute Networks, AAAI-19, Oral

[8] Yingkui Wang, Di Jin*, Jianwu Dang, Community Detection in Social Networks Considering Topic Correlations, AAAI-19, Oral

[9] Xiaobao Wang, Di Jin*, Mengquan Liu, Dongxiao He, Kaska Musial-Gabrys and Jianwu Dang, Emotional Contagion-Based Social Sentiment Mining in Social Networks by Introducing Network Communities, CIKM-19, Oral

[10] 金弟, 尤心心, 刘岳森, 何东晓. 结构特征强化的高效马尔可夫随机场社团发现方法, 计算机学报, 2019

[11] Kuntharrgyal Khysru, Di Jin*, Jianwu Dang. Morphological Verb-Aware Tibetan Language Model, IEEE Access, 2019, 7: 72896-72904, 27 May 2019

[12] Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, and Hongyu Shan. Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network. In International Conference on Artificial Neural Networks, Springer, 2019.

[13] Di Jin, Zhigang Li, Liang Yang, Dongxiao He, Pengfei Jiao, Lu Zhai. Adversarial Capsule Learning for Network Embedding. ICTAI-19

[14] Dongxiao He, Yue Song, Di Jin*. A Simple and Effective Community Detection Method Combining Network Topology with Node Attributes. The 12th International Conference on Knowledge Science, Engineering and Management (KSEM 2019), Athens, Greece, August 28-30, 2019.

[15] Hongcui Wang, Shanshan Liu, Di Jin*, Lantian Li, Jianwu Dang, Scalable Community Identification with Manifold Learning on Speaker I-vector Space, IEICE Transactions on Information and Systems, 2019

[16] Liang Yang, Yuexue Wang, Junhua Gu, Xiaochun Cao, Xiao Wang, Di Jin, Guiguang Ding, Jungong Han, Weixiong Zhang, Autonomous Semantic Community Detection via Adaptively Weighted Low-rank Approximation, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2019

 

2018:

[1] Di Jin, Meng Ge, Liang Yang, Longbiao Wang, Dongxiao He, Weixiong Zhang, Integrative Network Embedding via Deep Joint Reconstruction, IJCAI-18 (CCF A类会议长文)

[2] Ge Zhang, Di Jin*, Jian Gao, Pengfei Jiao, Francoise Fogelman-Soulié, Xin Huang, Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized Topics, IJCAI-18 (CCF A类会议长文)

[3] Liang Yang, Yanfang Guo, Di Jin*, Xiaochun Cao, 3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces, IJCAI-18 (CCF A类会议长文)

[4] Di Jin, Xiaobao Wang, Ruifang He, Dongxiao He, Jianwu Dang, Weixiong Zhang. Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics, AAAI-18 (CCF A类会议长文)

[5] Dongxiao He, Xinxin You, Zhiyong Feng, Di Jin, Xue Yang, Weixiong Zhang. A Network-Specific Markov Random Field Approach to Community Detection, AAAI-18 (CCF A类会议长文)

[6] 金弟, 刘子扬, 贺瑞芳, 王啸, 何东晓, 面向带属性复杂网络的鲁棒、强解释性社团发现方法, 计算机学报, 录用, 2018 (国家一级期刊)

[7] Wenjun Wang, Xiao Liu, Pengfei Jiao, Xue Chen, and Di Jin*, A Unified Weakly Supervised Framework for Community Detection and Semantic Matching, PAKDD-18 (EI, CCF C类会议)

[8] Ruifang He, Xuefei Zhang, Di Jin*, LongbiaoWang, Jianwu Dang, Xiangang Li. Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention, COLING-18.

[9] Fengyu Guo, Ruifang He, Di Jin, Jianwu Dang, LongbiaoWang, Xiangang Li. Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning, COLING-18.

[10] Di Jin, Ziyang Liu, Ruifang He, Xiao Wang, Dongxiao He. Robust Detection of Communities with Multi-Semantics in Large Attributed Networks. KSEM-18.

[11] Jinxin Cao, Di Jin, Jianwu Dang, Autoencoder Based Community Detection with Adaptive Integration of Network Topology and Node Contents. KSEM-18.

[12] Hongcui Wang, Erwei Wang, Di Jin, Xiao Wang, Jing Wang and Dongxiao He. Edge Content Enhanced Network Embedding, ICTAI-18.

[13] Meng Qin, Di Jin*, Kai Lei*, Bogdan Gabrys, Katarzyna Musial. Adaptive Community Detection Incorporating Topology and Content in Social Networks. Knowledge-Based Systems, 2018.

[14] Jinxin Cao, Di Jin*, Liang Yang, Jianwu Dang. Incorporating network structure with node contents for Community Detection on large networks using deep learning. Neurocomputing, 297(2018)71-81.

[15] Jinxin Cao, Hongcui Wang, Di Jin, Jianwu Dang, Combination of links and node contents for community discovery using a graph regularization approach, Future Generation Computer Systems, 2018.

[16] Pengfei Jiao, Wenjun Wang, Di Jin. Constrained common cluster based model for community detection in temporal and multiplex networks. Neurocomputing, 2018, 275: 768-780.

 

2017:

[1] Dongxiao He, Zhiyong Feng, Di Jin, Xiaobao Wang, Weixiong Zhang, Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents, AAAI-17 (CCF A类会议长文)

[2] Di Jin, Xiaobao Wang, Dongxiao He, Wenhuan Lu, Francoise Fogelman-Soulié, Jianwu Dang. Identification of generalized communities with semantics in networks with content. ICTAI’17 (EI, CCF C类会议)

[3] Di Jin, Meng Ge, Zhixuan Li, Wenhuan Lu, Dongxiao He, Francoise Fogelman-Soulie. Using Deep Learning for Community Discovery in Large Social Networks. ICTAI’17 (EI, CCF C类会议)

[4] Limengzi Yuan, Wenjun Wang, Pengfei Jiao, Di Jin*, Wenxin Wei. Tracking and detecting dynamic communities with node popularity preservation. ICTAI’17 (EI, CCF C类会议)

[5] Meng Qin, Di Jin*, Dongxiao He, Bogdan Gabrys, Katarzyna Musial. Adaptive Community Detection Incorporating Topology and Content in Social Networks. 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 675-682 (EI)

[6] Wenjun Wang, Xue Chen, Pengfei jiao, Di Jin. Similarity-based Regularized Latent Feature Model for Link Prediction in Bipartite Networks. Scientific Reports, 2017 (SCI二区, IF: 5.018)

[7] Xiao Liu, Wenjun Wang, Dongxiao He, Pengfei Jiao, Di Jin, Carlo Vittorio Cannistraci, Semi-supervised community detection based on non-negative matrix factorization with node popularity, Information Sciences, Volume 381, March 2017, Pages 304-321 (SCI二区, IF: 3.858 )

[8] Liang Yang, Xiaochun Cao, Di Jin, Dongxiao He, Francoise Fogelman-Soulie, Huazhu Fu, Improving the Efficiency and Effectiveness of Community Detection via Prior-Induced Equivalent Super-Network, Scientific Reports, 2017.03.29, 7, 634

[9] Liang Yang, Xiaochun Cao, Meng Ge, Di Jin, Dongxiao He, Huazhu Fu, Jing Wang, Exploring the roles of cannot-link constraint in community detection via Multi-variance Mixed Gaussian Generative Model, PLos One, 2017.07.5, 12(7), e0178029

 

2016:

[1] Di Jin, Hongcui Wang, Jianwu Dang, Dongxiao He, Weixiong Zhang. Detect overlapping communities via modeling and ranking node popularities. AAAI-16, pp.172-178  (CCF A类会议长文)

[2] Xiao Wang, Di Jin, Xiaochun Cao, Liang Yang, Weixiong Zhang. Semantic Community Identification in Large Attribute Networks. AAAI-16, pp.265-271 (CCF A类会议长文)

[3] Xiao Wang, Xiaochun Cao, Di Jin*, Yixin Cao, Dongxiao He. The (un)supervised NMF methods for discovering overlapping communities as well as hubs and outliers in networks. Physica A: Statistical Mechanics and its Applications. 2016, Volume 446, 15 March 2016, Pages 22–34 (SCI三区, IF: 1.732)

[4] Dongxiao He, Hongcui Wang, Di Jin, Baolin Liu, A model framework for the enhancement of community detection in complex networks, Physica A: Statistical Mechanics and its Applications, Volume 461, 1 November 2016, Pages 602–612 (SCI三区, IF: 1.732)

[5] Wenjun Wang, Pengfei Jiao, Dongxiao He, Di Jin, Lin Pan, Bogdan Gabrys. Autonomous Overlapping Community Detection in Temporal Networks: A Dynamic Bayesian Nonnegative Matrix Factorization Approach. Knowledge Based Systems, Volume 110, 15 October 2016, Pages 121–134 (SCI二区, IF: 3.325)

 

2015:

[1] Di Jin, Zheng Chen, Dongxiao He, Weixiong Zhang. Modeling with node degree preservation can accurately find communities, AAAI-15, Jan 25-30, 2015  (CCF A类会议长文)

[2] Dongxiao He, Dayou Liu, Di Jin, Weixiong Zhang. A stochastic model for the detection of heterogeneous link communities in complex networks, AAAI-15, Jan 25-30, 2015 (CCF A类会议长文)

[3Di Jin, Bogdan Gabrys, Jianwu Dang. Combined node and link partitions method for finding overlapping communities in complex networks. Scientific Reports, 2015, 5, 8600. (SCI二区, IF: 5.078)

[4] Liang Yang, Di Jin*, Xiao Wang, Xiaochun Cao. Active link selection for efficient semi-supervised community detection. Scientific Reports, 2015, 5, 9039. (SCI二区, IF: 5.078)

[5] Liang Yang, Xiaochun Cao*, Di Jin*, Xiao Wang, Dan Meng. A unified semi-supervised community detection framework using latent space graph regularization. IEEE Transactions on Cybernetics, 2015, 45(11): 2585-2598 (SCI一区, IF: 3.781)

[6] Hongcui Wang, Di Jin*, Lantian Li, Jianwu Dang. Community detection with manifold learning on speaker i-vector space for Chinese, Interspeech-15 (EI, CCF C类会议)

[7] Xiaochun Cao, Xiao Wang, Di Jin, Xiaojie Guo, Xianchao Tang. A stochastic model for detecting overlapping and hierarchical community structure, PLoS ONE, 2015, 10(3): e0119171. (SCI三区, IF: 3.534)

[8] Dongxiao He, Di Jin, Zheng Chen, Weixiong Zhang. Identification of hybrid node and link communities in complex networks. Scientific Reports, 2015, 5, 8638. (SCI二区, IF: 5.078)

 

在读学生

博士生:

于智郅,2019级

霍翠英,2019级

王晓宝,co-supervised with Prof. Jianwu Dang

王英奎,co-supervised with Prof. Jianwu Dang

更太加,co-supervised with Prof. Jianwu Dang

 

硕士生:

2019级:王涛,路瑞丽,孙新,李娜;

2018级:王昆增,张彬彬,李帅,孙继涛,冯炳道,单虹毓(合作指导),荆鑫(合作指导)

 

 

已毕业学生

2017级:

李炳艺,国家奖学金,校优秀毕业生,招商银行

李志刚,农行

李睿,百度算法工程师

 

2016级:

刘子扬,校优秀毕业生,京东算法工程师

黄建涛,浙商银行

尤心心,校优秀毕业生,科大讯飞算法工程师

张鸽(合作指导),校优秀毕业生,上汽

 

2015级:

葛檬,天大读博

王晓宝,天大读博