Publications

Book or Book Chapters

  1. Deep Generative Models for Recommender Systems [pdf]
    Vineeth Rakesh, Suhang Wang and Huan Liu
    Big Data Recommender Systems, IET, 2018

  2. Deep Learning for Feature Representation [pdf]
    Suhang Wang and Huan Liu
    Feature Engineering for Machine Learning and Data Analytics, CRC Press, 2018

  3. Feature Selection [pdf]
    Suhang Wang, Jiliang Tang and Huan Liu
    Encyclopedia of Machine Learning and Data Mining DOI:10.1007/978-1-4899-7502-7_101-1, 2016

Journal Papers

  1. Popularity Prediction on Vacation Rental Websites [pdf]
    Yang Li, Suhang Wang, Yukun Ma , Quan Pan, and Eric Cambria.
    Neurocomputing, 2020

  2. FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media [pdf]
    Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, and Huan Liu.
    Big Data, 2020

  3. Learning Binary Codes with Neural Collaborative Filtering for Efficient Recommendation Systems [pdf]
    Yang Li, Suhang Wang, Quan Pan, Haiyun Peng, Tao Yang, and Eric Cambria.
    Knowledge-Based Systems, 2019

  4. Disentangled Variational Auto-Encoder for Semi-supervised Learning [pdf]
    Yang Li, Quan Pan, Suhang Wang, Haiyun Peng, Tao Yang, and Eric Cambria.
    Information Sciences, 2019

  5. Random-Forest Inspired Neural Networks [pdf]
    Suhang Wang, Charu Aggarwal and Huan Liu
    ACM TIST, 2018

  6. Towards Privacy Preserving Social Recommendation under Personalized Privacy Settings [pdf]
    Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang.
    World Wide Web Journal, 2018

  7. A Generative Model for Category Text Generation [pdf]
    Yang Li, Quan Pan, Suhang Wang, Tao Yang, and Erik Cambria
    Information Sciences, 2018

  8. Exploring Hierarchical Structures for Recommender Systems [pdf]
    Suhang Wang, Jiliang Tang, Yilin Wang and Huan Liu
    IEEE TKDE, 2018

  9. Learning Word Representations for Sentiment Analysis [pdf]
    Yang Li, Quan Pan, Tao Yang, Suhang Wang, Jiliang Tang, and Erik Cambria
    Springer Cognitive Computation, 2017

  10. Fake News Detection on Social Media: A Data Mining Perspective [pdf]
    Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, and Huan Liu
    SIGKDD Explorations, 2017

  11. Understanding and Identifying Rhetorical Questions in Social Media [pdf]
    Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang and Huan Liu
    ACM TIST, 2017

  12. Facilitating Time Critical Information Seeking in Social Media [pdf]
    Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang and Huan Liu
    IEEE TKDE, 2017

  13. User Identity Linkage across Online Social Netwroks: A Review [pdf]
    Kai Shu, Suhang Wang, Jiliang Tang, Reza Zafarani and Huan Liu
    SIGKDD Explorations, December, 2016

  14. Enhanced Low-rank Representation via Sparse Manifold Adaption for Semi-supervised Learning [pdf][code]
    Yong Peng, Bao-Liang Lu and Suhang Wang
    In: Neural Networks, DOI: 10.1016/j.neunet.2015.01.001, 2015

  15. Discriminative Graph Regularized Extreme Learning Machine and Its Application to Face Recognition [pdf][code]
    Yong Peng, Suhang Wang, Xianzhong Long and Bao-Liang Lu
    In: Neurocomputing, 149: 340-353, 2015

Conference Publications

    2021

  1. SRVAR: Joint Discrete Hidden State Discovery and Structure Learning from Time Series Data [pdf]
    Tsung-Yu Hsieh, Yiwei Sun, Xianfeng Tang, Suhang Wang, and Vasant Honavar
    In Proceedings of the Web Conference (WWW 2021)

  2. Functional Autoencoders for Functional Data Representation Learning [pdf]
    Tsung-Yu Hsieh, Yiwei Sun, Suhang Wang, and Vasant Honavar
    In: Proceedings of the Twenty-First SIAM International Conference on Data Mining (SDM-21)

  3. Neural Utility Functions [pdf]
    Porter Jenkins, Ahmad Farag, Stockton Jenkins, Huaxiu Yao, Suhang Wang, and Zhenhui Li
    In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021)

  4. Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information [pdf]
    Enyan Dai, and Suhang Wang
    In: Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021)

  5. GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks [pdf]
    Tianxiang Zhao, Xiang Zhang, and Suhang Wang
    In: Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021)

  6. Explainable Multivariate Time Series: A Deep Neural Network Which Learns to Attend Important Variables As Well As Time Intervials [pdf]
    Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, and Vasant Honavar
    In: Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021)

  7. 2020

  8. MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Modelss [pdf]
    Thai Le, Suhang Wang, and Dongwon Lee
    In: Proceedings of 20th ICDM IEEE International Conference on Data Mining (ICDM-20)

  9. Learning from Incomplete Labeled Data via Adversarial Data Generation [pdf]
    Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, and Jiliang Tang
    In: Proceedings of 20th ICDM IEEE International Conference on Data Mining (ICDM-20)

  10. Investigating and Mitigating Degree-Related Biases in Graph Convolutional Networks [pdf]
    Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu Aggarwal, Prasenjit Mitra, and Suhang Wang
    In: Proceedings of 29th ACM International Conference on Information and Knowledge Management (CIKM-20)

  11. Semi-Supervised Graph-to-Graph Translations [pdf]
    Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, and Suhang Wang
    In: Proceedings of 29th ACM International Conference on Information and Knowledge Management (CIKM-20)

  12. Knowing Your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps [pdf]
    Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, and Suhang Wang
    In: Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-20)

  13. Graph Structure Learning for Robust Graph Nerual Networks [pdf]
    Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, and Jiliang Tang
    In: Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-20)

  14. GRACE: Generating Concise and Informative Constrastive Sample to Explain Neural Network Model's Prediction [pdf]
    Thai Le, Suhang Wang, and Dongwon Lee
    In: Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-20)

  15. DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformaiton [pdf]
    Limeng Cui, Haseseung Seo, Maryain Tabar, Fenglong Ma, Suhang Wang, and Dongwon Lee
    In: Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-20)

  16. Joint Local and Global Sequence Modeling in Temporal Correlation Network for Search Trending Topic Detection [pdf]
    Kai Shu, Liangda Li, Suhang Wang, Yunhong Zhou, and Huan Liu
    In: Proceedings of the 12th ACM Web Science Conference (Websci 2020)

  17. Ginger Cannot Cure Cancer: Battling Fake Health News with A Comprehensive Data Repository [pdf]
    Enyan Dai, Yiwei Sun, and Suhang Wang
    In: Proceedings of the Internatioal AAAI Conference on Web and Social Media (ICWSM-20)

  18. Node Injection Attack on Graphs via Reinforcement Learning [pdf]
    Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, and Vasant Honavar
    In: Proceedings of the Web Conference (WWW-20)

  19. Global-and-Local Aware Data Generation for the Class Imblance Problem [pdf]
    Wentao Wang, Suhang Wang, Wenqi Fan, Zitao Liu, and Jiliang Tang
    In: Proceedings of the Twentieth SIAM International Conference on Data Mining (SDM-20)

  20. Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation [pdf]
    Kai Shu, Deepak Mahudaswaran, Suhang Wang, and Huan Liu
    In: Proceedings of the Internatioal AAAI Conference on Web and Social Media (ICWSM-20)

  21. Joint Modeling of Local and Global Temporal Dynamics of Multivariate Time Series Forecasting with Missing Values [pdf]
    Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu Aggarwal, Prasenjit Mitra, and Suhang Wang
    In: Proceedings of the Thirty-Forth AAAI Conference on Artificial Intelligence (AAAI-20)

  22. Graph Few-shot Learning via Knowledge Transfer [pdf]
    Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh Chawla, Zhenhui Li
    In: Proceedings of the Thirty-Forth AAAI Conference on Artificial Intelligence (AAAI-20)

  23. Transferring Robustness for Graph Neural Network Against Poisoning Attacks [pdf]
    Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, and Suhang Wang
    In: Proceedings of the 13th ACM International Conference on Web Search and Data Mining (WSDM 2020)

  24. Deep Multi-Graph Clustering via Attentive Cross-Graph Association [pdf]
    Dongsheng Li, Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Yu and Xiang Zhang
    In: Proceedings of the 13th ACM International Conference on Web Search and Data Mining (WSDM 2020)

  25. 2019

  26. Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Docotors [pdf]
    Tian Shi, Vineeth Rakesh, Suhang Wang, Chandan K. Reddy
    In: Proceedings of 28th ACM International Conference on Information and Knowledge Management (CIKM-19)

  27. Beyond word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings [pdf]
    Suhang Wang, Charu Aggarwal, and Huan Liu
    In: Proceedings of 28th ACM International Conference on Information and Knowledge Management (CIKM-19)

  28. Unsupervised Representation Learning of Spatial Data via Multimodal Embedding [pdf]
    Porter Jenkins, Ahmad Farag, Suhang Wang, and Zhenhui Li
    In: Proceedings of 28th ACM International Conference on Information and Knowledge Management (CIKM-19)

  29. SAME: Sentiment-Aware Multi-Modal Embedding for Detecting Fake News [pdf]
    Limeng Cui, Suhang Wang, and Dongwon Lee
    In: Proceedings of IEEE/ACM International Conference on Advances in Social Networks Analysis and Minings (ASONAM-19)

  30. The Role of User Profiles for Fake News Detection [pdf]
    Kai Shu, Xinyi Zhou, Suhang Wang, Reza Zafarani, and Huan Liu
    In: Proceedings of IEEE/ACM International Conference on Advances in Social Networks Analysis and Minings (ASONAM-19)

  31. Multi-View Network Embedding via Generative Adversarial Networks [pdf]
    Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, and Vasant Honavar
    In: Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19)

  32. Graph Convolutional Networks with EigenPoolings [pdf]
    Yao Ma, Suhang Wang, Charu Aggarwal, and Jiliang Tang
    In: Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-19)

  33. dEFEND: Explainable Fake News Detection [pdf]
    Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, and Huan Liu
    In: Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-19)

  34. Multi-dimensional Graph Convolutional Networks [pdf]
    Yao Ma, Suhang Wang, Charu Aggarwal, Dawei Yin, and Jiliang Tang
    In: Proceedings of the Nineteenth SIAM International Conference on Data Mining (SDM-19)

  35. Unsupervised Fake News Detection on Social Media: A Generative Approach [pdf]
    Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, and Huan Liu
    In: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)

  36. Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items [pdf]
    Vineeth Rakesh, Suhang Wang, Kai Shu, and Huan Liu
    In: Proceedings of the 12th ACM International Conference on Web Search and Data Mining (WSDM 2019)

  37. Beyond News Contents: The Role of Social Context for Fake News Detection [pdf]
    Kai Shu, Suhang Wang, and Huan Liu
    In: Proceedings of the 12th ACM International Conference on Web Search and Data Mining (WSDM 2019)

  38. 2018

  39. Deep Headline Generation for Clickbait Detection [pdf]
    Kai Shu, Suhang Wang, Thai Le, Dongwon Lee and Huan Liu
    In: Proceedings of the 2018 IEEE International Conference on Data Mining (ICDM-18), regular paper

  40. Towards Interpretation of Recommender Systems with Sorted Explanation Paths [pdf]
    Fan Yang, Ninghao Liu, Suhang Wang and Xia Hu
    In: Proceedings of the 2018 IEEE International Conference on Data Mining (ICDM-18), regular paper

  41. Local and Global Information Preserved Network Embeddings [pdf]
    Yao Ma, Suhang Wang, Jiliang Tang.
    In: Proceedings of the international conference series on Advances in Social Network Analysis and Mining (ASONAM-18), short paper

  42. Exploiting User Actions for App Recommendations [pdf]
    Kai Shu, Suhang Wang, Jiliang Tang, Yi Chang, Huan Liu.
    In: Proceedings of the international conference series on Advances in Social Network Analysis and Mining (ASONAM-18), short paper

  43. Multimodal Fusion of Brain Networks with Longitudinal Couplings [pdf]
    Wen Zhang, Kai Suhang, Suhang Wang, Huan Liu, Yalin Wang.
    In: Proceedings of the 21st International Conference On Medical Image Computing & Computer Assisted Intervention (MICCAI-18)

  44. Exploiting Emotion on Reviews for Recommender Systems [pdf]
    Xuying Meng, Suhang Wang, Huan Liu, Yujun Zhang.
    In: Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18)

  45. Personalized Privacy-Preserving Social Recommendation [pdf]
    Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang.
    In: Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18)

  46. CrossFire: Cross Media Joint Item and Friend Recommendations [pdf]
    Kai Shu, Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu.
    In: Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM 2018)

  47. Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network [pdf]
    Yilin Wang, Suhang Wang, Guojun Qi, Jiliang Tang, Baoxin Li.
    In: Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV 2018)

  48. 2017

  49. Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications [pdf]
    Fred Morstatter, Kai Shu, Suhang Wang, and Huan Liu.
    preprint in arXiv

  50. Attributed Signed Network Embedding [pdf]
    Suhang Wang, Charu Aggarwal, Jiliang Tang, Huan Liu
    In: Proceedings of 26th ACM International Conference on Information and Knowledge Management (CIKM-17)

  51. Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods [pdf]
    Suhang Wang, Charu Aggarwal, Huan Liu
    In: In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-17)

  52. What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation [pdf]
    Suhang Wang, Yilin Wang, Jiliang Tang, Kai Shu, Suhas Ranganath, Huan Liu
    In: Proceedings of the 26th World Wide Web Conference (WWW-17)

  53. Using a Random Forest to Inspire a Neural Network and Improving on It [pdf][code]
    Suhang Wang, Charu Aggarwal, Huan Liu
    In: Proceedings of the Seventeenth SIAM International Conference on Data Mining (SDM-17)

  54. Signed Network Embedding in Social Media [pdf][supplementary][code]
    Suhang Wang, Jiliang Tang, Charu Aggarwal, Yi Chang, Huan Liu
    In: Proceedings of the Seventeenth SIAM International Conference on Data Mining (SDM-17)

  55. Exploiting Hierarchical Structures for Unsupervised Feature Selection [pdf]
    Suhang Wang, Yilin Wang, Jiliang Tang, Charu Aggarwal, Suhas Ranganath, Huan Liu
    In: Proceedings of the Seventeenth SIAM International Conference on Data Mining (SDM-17)

  56. Price Recommendation on Vacation Rental Websites [pdf]
    Yang Li, Suhang Wang, Quan Pan, Tao Yang, Jiliang Tang
    In: Proceedings of the Seventeenth SIAM International Conference on Data Mining (SDM-17)

  57. CLARE:A Joint Approach to Label Classification and Tag Recommendation [pdf]
    Yilin Wang, Suhang Wang, Jiliang Tang, Guojun Qi, Huan Liu and Baoxin Li.
    In: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17)

  58. 2016

  59. Hierarchical Attention Network for Action Recognition in Videos [pdf]
    Yilin Wang, Suhang Wang, Jiliang Tang, Neil O'Hare, Yi Chang and Baoxin Li.
    preprint in arXiv

  60. Linked Document Embedding for Classifiation [pdf]
    Suhang Wang, Jiliang Tang, Charu Aggarwal, Huan Liu
    In: Proceedings of 25th ACM International Conference on Information and Knowledge Management (CIKM-16)

  61. Paired Restricted Boltzmann Machine for Linked Data [pdf]
    Suhang Wang, Jiliang Tang, Fred Morstatter, Huan Liu
    In: Proceedings of 25th ACM International Conference on Information and Knowledge Management (CIKM-16)

  62. PPP: Joint Pointwise and Pairwise Image Label Prediction [pdf]
    Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu and Baoxin Li.
    In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR-16)

  63. Understanding and Identifying Rhetorical Questions in Social Media [pdf]
    Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang and Huan Liu.
    In: Proceedings of The International AAAI Conference on Web and Social Media (ICWSM-16)

  64. Exploiting Emotional Information for Trust/Distrust Prediction [pdf]
    Ghazaleh Beigi, Jiliang Tang, Suhang Wang and Huan Liu.
    In: Proceedings of SIAM International Conference on Data Mining (SDM), 2016

  65. Recommendation with Social Dimensions [pdf]
    Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang and Huan Liu.
    In: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16)

  66. Predicting Online Protest Participation of Social Media Users [pdf]
    Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu
    In: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16)

  67. 2015

  68. Finding Time-Critical Responses for Information Seeking in Social Media [pdf]
    Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang, Huan Liu
    In: Proceedings of IEEE International Conference on Data Mining (ICDM-15)

  69. Toward Dual Roles of Users in Recommender Systems [pdf]
    Suhang Wang, Jiliang Tang, Huan Liu
    In: Proceedings of 24th ACM International Conference on Information and Knowledge Management (CIKM-15)

  70. Exploring Implicit Hierarchical Structures for Recommender Systems [pdf][code]
    Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu
    In: Proceedings of 24th International Joint Conference on Artificial Intelligence (IJCAI-15)

  71. Unsupervised Sentiment Analysis for Social Media Images [pdf]
    Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu
    In: Proceedings of 24th International Joint Conference on Artificial Intelligence (IJCAI-15)

  72. Embedded Unsupervised Feature Selection [pdf][code]
    Suhang Wang, Jiliang Tang, Huan Liu
    In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15)

  73. Before 2015

  74. Structure Preserving Low-Rank Representation for Semi-supervised Face Recognition [pdf]
    Yong Peng, Suhang Wang, Shen Wang and Bao-Liang Lu
    In: Proceedings of the 20th International Conference on Neural Information Processing (ICONIP'13)

Workshop Papers

  1. Relevance Measurements in Online Signed Social Networks [pdf]
    Tyler Derr, Chenxing Wang, Suhang Wang and Jiliang Tang
    In: Proceedings of the 14TH International Workshop on Mining and Learning with Graphs (MLG-18)

  2. Understanding User Profiles on Social Media for Fake News Detection [pdf]
    Kai Shu, Suhang Wang, Huan Liu
    In: Proceedings of the 1st IEEE International Workshop on Fake MultiMedia (FakeMM-18)

  3. Network Embedding with Centrality Information [pdf]
    Ya Ma, Suhang Wang, Jiliang Tang
    In: Proceedings of the IEEE International Conference on Data Mining Workshops (ICDMW-17)

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