Publications
Book or Book Chapters
- Deep Generative Models for Recommender Systems
[pdf]
Vineeth Rakesh, Suhang Wang and Huan Liu
Big Data Recommender Systems, IET, 2018
- Deep Learning for Feature Representation
[pdf]
Suhang Wang and Huan Liu
Feature Engineering for Machine Learning and Data Analytics, CRC Press, 2018
- 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
- Popularity Prediction on Vacation Rental Websites
[pdf]
Yang Li, Suhang Wang, Yukun Ma , Quan Pan, and Eric Cambria. Neurocomputing, 2020
- 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
- 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
- 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
- Random-Forest Inspired Neural Networks
[pdf]
Suhang Wang, Charu Aggarwal and Huan Liu ACM TIST, 2018
- 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
- A Generative Model for Category Text Generation
[pdf]
Yang Li, Quan Pan, Suhang Wang, Tao Yang, and Erik Cambria Information Sciences, 2018
- Exploring Hierarchical Structures for Recommender Systems
[pdf]
Suhang Wang, Jiliang Tang, Yilin Wang and Huan Liu IEEE TKDE, 2018
- Learning Word Representations for Sentiment Analysis
[pdf]
Yang Li, Quan Pan, Tao Yang, Suhang Wang, Jiliang Tang, and Erik Cambria Springer Cognitive Computation, 2017
- 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
- Understanding and Identifying Rhetorical Questions in Social Media
[pdf]
Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang and Huan Liu ACM TIST, 2017
- Facilitating Time Critical Information Seeking in Social Media
[pdf]
Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang and Huan Liu IEEE TKDE, 2017
- 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
- 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
- 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
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
2020
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
2019
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
2018
- 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
- 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
- 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
- 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
- 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)
- 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)
- 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)
- 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)
- 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)
2017
- Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications
[pdf]
Fred Morstatter, Kai Shu, Suhang Wang, and Huan Liu.
preprint in arXiv
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
2016
- 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
- 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)
- 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)
- 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)
- 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)
- 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
- 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)
- 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)
2015
- 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)
- 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)
- 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)
- 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)
- 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)
Before 2015
- 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
- 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)
- 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)
- 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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