Publications

More information can be found in my Google Scholar and DBLP profiles.
* indicates equal contribution.

Preprint

  1. Enhancing Social Recommendation with Adversarial Graph Convolutional Networks
    Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui

  2. Feature Interaction-aware Graph Neural Networks
    Kaize Ding, Yichuan Li, Jundong Li, Chenghao Liu, Huan Liu

Tutorials

  1. Learning From Networks: Algorithms, Theory, and Applications
    Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019

  2. Recent Advances in Feature Selection: A Data Perspective
    Jundong Li, Jiliang Tang, Huan Liu
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017

2020

  1. Be More with Less: Hypergraph Attention Networks for Inductive Text Classification
    Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020

  2. Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective
    Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong
    Information Sciences (IS), 2020, (To Appear)

  3. Incremental One-Class Collaborative Filtering with Co-Evolving Side Networks
    Chen Chen, Yinglong Xia, Hui Zang, Jundong Li, Huan Liu, Hanghang Tong
    Knowledge and Information Systems (KAIS), 2020 (To Appear)

  4. A Deep Multi-View Framework for Anomaly Detection on Attributed Networks
    Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 (To Appear)

  5. Graph Prototypical Networks for Few-shot Learning on Attributed Networks
    Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu
    ACM International Conference on Information and Knowledge Management (CIKM), 2020

  6. Graph Few-shot Learning with Attribute Matching
    Ning Wang, Minnan Luo, Kaize Ding, Lingling Zhang, Jundong Li, Qinghua Zheng
    ACM International Conference on Information and Knowledge Management (CIKM), 2020

  7. Scalable Attack on Graph Data by Injecting Vicious Nodes
    Jihong Wang, Minnan Luo, Fnu Suya, Jundong Li, Zijiang Yang, Qinghua Zheng
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2020
    Data Mining and Knowledge Discovery, 2020 (Journal Track of ECMLPKDD 2020)

  8. Nonlinear Feature Selection on Attributed Networks
    Zhongping Lin, Minnan Luo, Zhen Peng, Jundong Li, Qinghua Zheng
    Neurocomputing, 2020 (To Appear)

  9. Using Machine Learning to Predict Ovarian Cancer
    Mingyang Liu, Zhenjiang Fan, Bin Xu, Lujun Chen, Xiao Zheng, Jundong Li, Taieb Znati, Qi Mi, Jingting Jiang
    International Journal of Medical Informatics (IJMI), 2020 (To Appear)

  10. A Survey of Learning Causality with Data: Problems and Methods
    Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu
    ACM Computing Surveys (CSUR), 2020, (To Appear)

  11. Inductive Anomaly Detection on Attributed Networks
    Kaize Ding, Jundong Li, Nitin Agarwal, Huan Liu
    International Joint Conference on Artificial Intelligence (IJCAI), 2020

  12. IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data
    Ruocheng Guo, Jundong Li, Yichuan Li, K. Selcuk Candan, Adrienne Raglin, Huan Liu
    International Joint Conference on Artificial Intelligence (IJCAI), 2020

  13. LookCom: Learning Optimal Network for Community Detection
    Yixiang Dong, Minnan Luo, Jundong Li, Deng Cai, Qinghua Zheng
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 (To Appear)

  14. Unsupervised Hierarchical Feature Selection on Networked Data
    Yuzhe Zhang, Chen Chen, Minnan Luo, Jundong Li, Caixia Yan, Qinghua Zheng
    International Conference on Database Systems for Advanced Applications (DASFAA), 2020

  15. Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data
    Ruocheng Guo, Jundong Li, Huan Liu
    SIAM International Conference on Data Mining (SDM), 2020

  16. Tracking Disaster Footprints with Social Stream Data
    Lu Cheng, Jundong Li, K. Selcuk Candan, Huan Liu
    AAAI Conference on Artificial Intelligence (AAAI), 2020

  17. Learning Individual Causal Effects from Networked Observational Data [code]
    Ruocheng Guo, Jundong Li, Huan Liu
    ACM International Conference on Web Search and Data Mining (WSDM), 2020

2019

  1. Generating Reliable Friends via Adversarial Training to Improve Social Recommendation [code]
    Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
    IEEE International Conference on Data Mining (ICDM), 2019

  2. SpecAE: Spectral Autoencoder for Anomaly Detection in Attributed Networks (short paper)
    Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou
    ACM International Conference on Information and Knowledge Management (CIKM), 2019

  3. Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation [code]
    Jundong Li, Liang Wu, Ruocheng Guo, Chenghao Liu, Huan Liu
    IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2019

  4. Adaptive Unsupervised Feature Selection on Attributed Networks
    Jundong Li, Ruocheng Guo, Chenghao Liu, Huan Liu
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019

  5. PI-Bully: Personalized Cyberbullying Detection with Peer Influence
    Lu Cheng, Jundong Li, Yasin N. Silva, Deborah Hall, Huan Liu
    International Joint Conference on Artificial Intelligence (IJCAI), 2019

  6. InterSpot: Interactive Spammer Detection in Social Media (demo paper)
    Kaize Ding, Jundong Li, Shivam Dhar, Shreyash Devan, Huan Liu
    International Joint Conference on Artificial Intelligence (IJCAI), 2019

  7. Deep Structured Cross-Modal Anomaly Detection
    Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu
    International Joint Conference on Neural Networks (IJCNN), 2019

  8. Deep Anomaly Detection on Attributed Networks [code]
    Kaize Ding, Jundong Li, Rohit Bhanushali, Huan Liu
    SIAM International Conference on Data Mining (SDM), 2019

  9. Robust Factorization Machine: A Doubly Capped Norms Minimization
    Chenghao Liu, Teng Zhang, Jundong Li, Jianwen Yin, Peilin Zhao, Jianling Sun, Steven Hoi
    SIAM International Conference on Data Mining (SDM), 2019

  10. Online Collaborative Filtering with Implicit Feedback
    Jianwen Yin, Chenghao Liu, Jundong Li, Bing Tian Dai, Yun-chen Chen, Min Wu, Jianling Sun
    International Conference on Database Systems for Advanced Applications (DASFAA), 2019

  11. Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search
    Zhen Peng, Minnan Luo, Jundong Li, Chen Chen, Qinghua Zheng
    International Conference on Database Systems for Advanced Applications (DASFAA), 2019

  12. Anomaly Detection in Time-Evolving Attributed Networks (poster paper)
    Luguo Xue, Minnan Luo, Zhen Peng, Jundong Li, Yan Chen, Jun Liu
    International Conference on Database Systems for Advanced Applications (DASFAA), 2019

  13. Interactive Anomaly Detection on Attributed Networks
    Kaize Ding, Jundong Li, Huan Liu
    ACM International Conference on Web Search and Data Mining (WSDM), 2019

  14. XBully: Cyberbullying Detection within a Multi-Modal Context
    Lu Cheng, Jundong Li, Yasin N. Silva, Deborah Hall, Huan Liu
    ACM International Conference on Web Search and Data Mining (WSDM), 2019

  15. Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics [video]
    Yuxin Ma, Tiankai Xie, Jundong Li, Ross Maciejewski
    IEEE Visualization Conference (VIS), 2019
    IEEE Transactions on Visualization and Computer Graphics (TVCG), 26(1): 1075-1085, 2020

2018

  1. Interactive Unknowns Recommendation in E-Learning Systems
    Shan-Yun Teng, Jundong Li, Lo-Pang-Yun Ting, Kun-Ta Chuang, Huan Liu
    IEEE International Conference on Data Mining (ICDM), 2018

  2. Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation [code]
    Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, Huan Liu
    ACM International Conference on Information and Knowledge Management (CIKM), 2018

  3. On Interpretation of Network Embedding via Taxonomy Induction [code]
    Ninghao Liu, Xiao Huang, Jundong Li, Xia Hu
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2018

  4. INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process
    Ruocheng Guo, Jundong Li, Huan Liu
    International Joint Conference on Artificial Intelligence (IJCAI-ECAI), 2018

  5. ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks [code]
    Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng
    International Joint Conference on Artificial Intelligence (IJCAI-ECAI), 2018

  6. Understanding and Predicting Delay in Reciprocal Relations
    Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu
    The Web Conference (formerly WWW), 2018

  7. Multi-Layered Network Embedding [code] [errata]
    Jundong Li*, Chen Chen*, Hanghang Tong, Huan Liu
    SIAM International Conference on Data Mining (SDM), 2018

  8. Toward Relational Learning with Misinformation
    Liang Wu, Jundong Li, Fred Morstatter, Huan Liu
    SIAM International Conference on Data Mining (SDM), 2018

  9. Unsupervised Personalized Feature Selection [errata]
    Jundong Li, Liang Wu, Harsh Dani, Huan Liu
    AAAI Conference on Artificial Intelligence (AAAI), 2018

  10. Personalized Privacy-Preserving Social Recommendation
    Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang
    AAAI Conference on Artificial Intelligence (AAAI), 2018

  11. Streaming Link Prediction on Dynamic Attributed Networks
    Jundong Li, Kewei Cheng, Liang Wu, Huan Liu
    ACM International Conference on Web Search and Data Mining (WSDM), 2018

  12. Exploring Expert Cognition for Attributed Network Embedding [code]
    Xiao Huang, Qingquan Song, Jundong Li, Xia Hu
    ACM International Conference on Web Search and Data Mining (WSDM), 2018

  13. Towards Privacy Preserving Social Recommendation under Personalized Privacy Settings
    Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang
    World Wide Web Journal (WWWJ), 2018 (To Appear)

  14. A General Embedding Framework for Heterogeneous Information Learning in Large-scale Networks
    Xiao Huang, Jundong Li, Na Zou, Xia Hu
    ACM Transactions on Knowledge Discovery from Data (TKDD), 12(6): 70:1-70:24, 2018

  15. Exploiting Multilabel Information for Noise-Resilient Feature Selection
    Ling Jian, Jundong Li, Huan Liu
    ACM Transactions on Intelligent Systems and Technology (TIST), 9(5): 52:1-52:23, 2018

  16. Toward Online Node Classification on Streaming Networks
    Ling Jian, Jundong Li, Huan Liu
    Data Mining and Knowledge Discovery (DMKD), 32(1): 231-257, 2018

  17. Feature Selection: A Data Perspective (among the most cited papers of CSUR within 5 years)
    Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu
    ACM Computing Surveys (CSUR), 50(6): 94:1-94:45, 2018

2017

  1. Attributed Network Embedding for Learning in a Dynamic Environment [code] (the most cited paper of CIKM 2017)
    Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu
    ACM International Conference on Information and Knowledge Management (CIKM), 2017

  2. Sentiment Informed Cyberbullying Detection in Social Media
    Harsh Dani, Jundong Li, Huan Liu
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2017

  3. Radar: Residual Analysis for Anomaly Detection in Attributed Networks [code]
    Jundong Li, Harsh Dani, Xia Hu, Huan Liu
    International Joint Conference on Artificial Intelligence (IJCAI), 2017

  4. Reconstruction-based Unsupervised Feature Selection: An Embedded Approach [code]
    Jundong Li, Jiliang Tang, Huan Liu
    International Joint Conference on Artificial Intelligence (IJCAI), 2017

  5. Unsupervised Feature Selection in Signed Social Networks
    Kewei Cheng*, Jundong Li*, Huan Liu
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017

  6. Toward Personalized Relational Learning [errata]
    Jundong Li, Liang Wu, Osmar R. Zaïane, Huan Liu
    SIAM International Conference on Data Mining (SDM), 2017

  7. Gleaning Wisdom From The Past: Early Detection of Emerging Rumors in Social Media
    Liang Wu, Jundong Li, Xia Hu, Huan Liu
    SIAM International Conference on Data Mining (SDM), 2017

  8. Accelerated Attributed Network Embedding (the most cited papers of SDM within 5 years) [code]
    Xiao Huang, Jundong Li, Xia Hu
    SIAM International Conference on Data Mining (SDM), 2017

  9. Understanding and Discovering Deliberate Self-harm Content in Social Media
    Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare, Yi Chang
    International World Wide Web Conference (WWW), 2017

  10. Unsupervised Sentiment Analysis with Signed Social Networks
    Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu
    AAAI Conference on Artificial Intelligence (AAAI), 2017

  11. Label Informed Attributed Network Embedding (among the most cited papers of WSDM within 5 years) [code]
    Xiao Huang, Jundong Li, Xia Hu
    ACM International Conference on Web Search and Data Mining (WSDM), 2017

  12. Challenges of Feature Selection for Big Data Analytics
    Jundong Li, Huan Liu
    IEEE Intelligent System, 32(2): 9-15, 2017

  13. Exploiting Expertise Rules for Statistical Data-Driven Modeling
    Ling Jian, Jundong Li, Shihua Luo
    IEEE Transactions on Industrial Electronics (TIE), 64(11): 8647-8656, 2017

  14. Budget Online Learning Algorithm for Least Squares SVM
    Ling Jian, Shuqian Shen, Jundong Li, Xijun Liang, Lei Li
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 28(9): 2076-2087, 2017

  15. Exploiting Statistically Significant Dependent Rules for Associative Classification
    Jundong Li, Osmar R. Zaïane
    Intelligent Data Analysis: An International Journal, 21(5): 1155-1172, 2017

2016

  1. Toward Time-Evolving Feature Selection on Dynamic Networks (short paper)
    Jundong Li, Xia Hu, Ling Jian, Huan Liu
    IEEE International Conference on Data Mining (ICDM), 2016

  2. FeatureMiner: A Tool for Interactive Feature Selection (demo paper) [demo]
    Kewei Cheng, Jundong Li, Huan Liu
    ACM International Conference on Information and Knowledge Management (CIKM), 2016

  3. Multi-Label Informed Feature Selection [code]
    Ling Jian*, Jundong Li*, Kai Shu, Huan Liu
    International Joint Conference on Artificial Intelligence (IJCAI), 2016

  4. Robust Unsupervised Feature Selection on Networked Data [code]
    Jundong Li, Xia Hu, Liang Wu, Huan Liu
    SIAM International Conference on Data Mining (SDM), 2016

  5. On Discovering Co-Location Patterns in Datasets: A Case Study of Pollutants and Child Cancers
    Jundong Li, Aibek Adilmagambetov, M. Shazan M. Jabbar, Osmar R. Zaïane, Alvaro Osornio-Vargas, Osnat Wine
    GeoInformatica, 20(4): 651-692, 2016

2015 and earlier

  1. Unsupervised Streaming Feature Selection in Social Media
    Jundong Li, Xia Hu, Jiliang Tang, Huan Liu
    ACM International Conference on Information and Knowledge Management (CIKM), 2015

  2. Associative Classification with Statistically Significant Positive and Negative Rules
    Jundong Li, Osmar R. Zaïane
    ACM International Conference on Information and Knowledge Management (CIKM), 2015

  3. Discovering Statistically Significant Co-location Rules in Datasets with Extended Spatial Objects
    Jundong Li, Osmar R. Zaïane, Alvaro Osornio-Vargas
    International Conference on Data Warehousing and Knowledge Discovery (DaWaK), 2014

  4. Active Learning Strategies for Semi-Supervised DBSCAN
    Jundong Li, Jörg Sander, Ricardo G.J.B Campello, Arthur Zimek
    Canadian Conference on Artificial Intelligence (AI), 2014

  5. Negative Association Rules
    Luiza Antonie, Jundong Li, Osmar R. Zaïane
    In Frequent Pattern Mining (edited by Charu C. Aggarwal, Jiawei Han), Springer, 2014