Selected Publications

“Prize” Papers (best papers, runner-ups, finalists, etc)

  • Si Zhang, Hanghang Tong, Jiejun Xu, Ross Maciejewski: Graph Convolutional Networks: Algorithms, Applications and Open Challenges [PDF] (bests of CsoNet 2018)

  • Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Min Li, Feng Xu, Jian Lu: Bug Localization via Supervised Topic Modeling. [PDF] (bests of ICDM 2018)

  • Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia: Rapid Analysis of Network Connectivity. [PDF] (best demo candidate (second place), CIKM 2017)

  • Robert Pienta, Fred Hohman, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng Chau: Visual Graph Query Construction and Refinement. [PDF] (best demo, honorable mention, SIGMOD 2017)

  • Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He: FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks. [PDF] [Slides] (bests of KDD 2016)

  • Chen Chen, Hanghang Tong: Fast Eigen-Functions Tracking on Dynamic Graphs. [PDF] [Slides] (bests of SDM 2015)

  • Rui Liu, Wei Cheng, Hanghang Tong, Wei Wang, Xiang Zhang: Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment. [PDF] (bests of ICDM 2015)

  • Xing Su, Hanghang Tong and Ping Ji: Activity Recognition with Smartphone Sensors. [PDF] (best paper, IEEE Tsinghua Science and Technology 2014)

  • Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos: Gelling, and melting, large graphs by edge manipulation. [PDF] [slides] (best paper, CIKM 2012)

  • Hanghang Tong, Ching-Yung Lin: Non-Negative Residual Matrix Factorization with Application to Graph Anomaly Detection. [PDF] [Slides] (bests of SDM 2011)

  • Jingrui He, Hanghang Tong, Jaime G. Carbonell: Rare Category Characterization. [PDF] (bests of ICDM 2010)

  • Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos: Proximity Tracking on Time-Evolving Bipartite Graphs. [PDF] [Slides] (best paper, SDM 2008)

  • Hanghang Tong, Christos Faloutsos, Jia-Yu Pan: Fast Random Walk with Restart and Its Applications. [PDF] [Slides] [Code] (best paper, ICDM 2006)

Books

Sample Papers

  • Jian Kang, Jingrui He, Ross Maciejewski, Hanghang Tong: InFoRM: Individual Fairness on Graph Mining. KDD 2020 [PDF] [Slides]

  • Si Zhang, Hanghang Tong, Yinglong Xia, Liang Xiong, Jiejun Xu: NetTrans: Neural Cross-Network Transformation. KDD 2020 [PDF][Slides]

  • Long Chen, Yuan Yao, Feng Xu, Miao Xu, Hanghang Tong: Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering. NeurIPS 2020 [PDF]

  • Yaojing Wang, Guosheng Pan, Yuan Yao, Hanghang Tong, Hongxia Yang, Feng Xu, Jian Lu: Bringing Order to Network Embedding: A Relative Ranking based Approach. CIKM 2020 [PDF]

  • Pei Yang, Qi Tan, Hanghang Tong, Jingrui He: Task-Adversarial Co-Generative Nets. KDD 2019. [PDF]

  • Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong: PC-Fairness: A Unified Framework for Measuring Causality-based Fairness. NeurIPS 2019. [PDF]

  • Rui Zhang, Hanghang Tong: Robust Principal Component Analysis with Adaptive Neighbors. NeurIPS 2019. [PDF]

  • Jian Kang, Hanghang Tong: N2N: Network Derivative Mining. CIKM 2019. [PDF]

  • Si Zhang, Hanghang Tong, Ross Maciejewski, Tina Eliassi-Rad: Multilevel Network Alignment. WWW 2019. [PDF]

  • Chen Chen, Ruiyue Peng, Lei Ying, Hanghang Tong: Network Connectivity Optimization: Fundamental Limits and Effective Algorithms. KDD 2018 [PDF]

  • Boxin Du, Hanghang Tong: FASTEN: Fast Sylvester Equation Solver for Graph Mining. KDD 2018. [PDF]

  • Liangyue Li, Hanghang Tong, Yong Wang, Conglei Shi, Nan Cao, Norbou Buchler: Is the Whole Greater Than the Sum of Its Parts? KDD 2017. [PDF] [Slides]

  • Jingwei Xu, Yuan Yao, Hanghang Tong, Xianping Tao, Jian Lu: HoORaYs: High-order Optimization of Rating Distance for Recommender Systems. KDD 2017. [PDF]

  • Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He: A Local Algorithm for Structure-Preserving Graph Cut. KDD 2017. [PDF]

  • Boxin Du, Si Zhang, Nan Cao, Hanghang Tong: FIRST: Fast Interactive Attributed Subgraph Matching. KDD 2017. [PDF]

  • Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He: FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks. KDD 2016. [PDF] [Slides] (bests of kdd2016)

  • Liangyue Li, Yuan Yao, Jie Tang, Wei Fan, Hanghang Tong: QUINT: On Query-Specific Optimal Networks. KDD 2016. [PDF] [Slides]] [Code]

  • Si Zhang, Hanghang Tong: FINAL: Fast Attributed Network Alignment. KDD 2016. [PDF] [Slides] [Code]

  • Liangyue Li, Hanghang Tong: The Child is Father of the Man: Foresee the Success at the Early Stage. KDD 2015. [PDF] [Slides]

  • Yongjie Cai, Hanghang Tong, Wei Fan, Ping Ji, Qing He: Facets: Fast Comprehensive Mining of Coevolving High-order Time Series. KDD 2015. [PDF]

  • Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang: Flexible and Robust Multi-Network Clustering. KDD 2015. [PDF]

  • Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li: Panther: Fast Top-k Similarity Search on Large Networks. KDD 2015. [PDF]

  • Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler. Replacing the Irreplaceable: Fast Algorithm for Team Member Recommendation. WWW 2015. [PDF]

  • Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu: Predicting long-term impact of CQA posts: a comprehensive viewpoint. KDD 2014. [PDF] [Slides] [Data and Code]

  • Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang: Inside the atoms: ranking on a network of networks. KDD 2014. [PDF]

  • Danai Koutra, Hanghang Tong, David Lubensky: BIG-ALIGN: Fast Bipartite Graph Alignment. ICDM 2013. [PDF] [slides]

  • Yuan Yao, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu: MATRI: a multi-aspect and transitive trust inference model. WWW 2013. [PDF] [Slides]

  • Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos: Gelling, and melting, large graphs by edge manipulation. CIKM 2012. [PDF] [slides] (best paper award)

  • Hanghang Tong, Jingrui He, Zhen Wen, Ravi Konuru, Ching-Yung Lin: Diversified ranking on large graphs: an optimization viewpoint. KDD 2011 [PDF] [Slides]

  • U. Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos: GBASE: a scalable and general graph management system. KDD 2011 [PDF]

  • Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau: On the Vulnerability of Large Graphs. ICDM 2010. [PDF] [Slides]

  • Kensuke Onuma, Hanghang Tong, Christos Faloutsos: TANGENT: a novel, 'Surprise me’, recommendation algorithm. KDD 2009. [PDF]

  • Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, Philip S. Yu, Christos Faloutsos: Colibri: fast mining of large static and dynamic graphs. KDD 2008. [PDF] [Slides]

  • Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos: Proximity Tracking on Time-Evolving Bipartite Graphs. SDM 2008. [PDF] [Slides] (best paper award)

  • Hanghang Tong, Christos Faloutsos, Brian Gallagher, Tina Eliassi-Rad: Fast best-effort pattern matching in large attributed graphs. KDD 2007.[PDF] [Slides] [Code] [Video]

  • Hanghang Tong, Christos Faloutsos, Yehuda Koren: Fast direction-aware proximity for graph mining. KDD 2007. [PDF] [Slides] [Video] [Correction]

  • Hanghang Tong, Christos Faloutsos, Jia-Yu Pan: Fast Random Walk with Restart and Its Applications. ICDM 2006.[PDF] [Slides] [Code] (best research paper award)

  • Hanghang Tong, Christos Faloutsos: Center-piece subgraphs: problem definition and fast solutions. KDD 2006. [PDF] [Slides] [data and code]

  • Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Changshui Zhang, HongJiang Zhang: A Unified Optimization Based Learning Method for Image Retrieval. CVPR 2005. [PDF]

  • Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang: Blur detection for digital images using wavelet transform. ICME 2004. [PDF]