Suhang Wang

发表

Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network

Baoxin Li, Yilin Wang, Suhang Wang, 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

Preserving Local and Global Information for Network Embedding pdf

Zhaochun Ren, Suhang Wang, Jiliang Tang, 2017, ArXiv.

Unsupervised Sentiment Analysis for Social Media Images

Baoxin Li, Huan Liu, Yilin Wang, 2015, IJCAI.

Linked Document Embedding for Classification

Charu C. Aggarwal, Huan Liu, Suhang Wang, 2016, CIKM.

Exploring Hierarchical Structures for Recommender Systems

Huan Liu, Yilin Wang, Suhang Wang, 2018, IEEE Transactions on Knowledge and Data Engineering.

I Am Not What I Write: Privacy Preserving Text Representation Learning pdf

Ghazaleh Beigi, Ruocheng Guo, Suhang Wang, 2019, ArXiv.

Learning Word Representations for Sentiment Analysis

Quan Pan, Yang Li, Erik Cambria, 2017, Cognitive Computation.

Hierarchical Attention Network for Action Recognition in Videos pdf

Baoxin Li, Yi Chang, Suhang Wang, 2016, ArXiv.

DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation

Fenglong Ma, Suhang Wang, Dongwon Lee, 2020, KDD.

FairGNN: Eliminating the Discrimination in Graph Neural Networks with Limited Sensitive Attribute Information pdf

Suhang Wang, Enyan Dai, Suhang Wang, 2020, ArXiv.

Editor’s Note

Deying Li, Pan Hui, Yuqing Zhu, 2019, World Wide Web.

The Role of User Profiles for Fake News Detection

Reza Zafarani, Huan Liu, Suhang Wang, 2019, 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Exploiting User Actions for App Recommendations

Huan Liu, Ping Luo, Yi Chang, 2018, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation pdf

Huan Liu, Suhang Wang, Kai Shu, 2019, ICWSM.

User Identity Linkage across Online Social Networks: A Review

Reza Zafarani, Huan Liu, Suhang Wang, 2017, SKDD.

Facilitating Time Critical Information Seeking in Social Media

Huan Liu, Suhang Wang, Jiliang Tang, 2017, IEEE Transactions on Knowledge and Data Engineering.

Exploiting Emotional Information for Trust/Distrust Prediction

Ghazaleh Beigi, Huan Liu, Suhang Wang, 2016, SDM.

Learning binary codes with neural collaborative filtering for efficient recommendation systems

Quan Pan, Erik Cambria, Tao Yang, 2019, Knowl. Based Syst..

Privacy Preserving Text Representation Learning

Ghazaleh Beigi, Ruocheng Guo, Suhang Wang, 2019, HT.

Deep Multi-Graph Clustering via Attentive Cross-Graph Association

Suhang Wang, Yuchen Bian, Xiong Yu, 2020, WSDM.

Towards privacy preserving social recommendation under personalized privacy settings

Huan Liu, Suhang Wang, Xuying Meng, 2018, World Wide Web.

Structure Preserving Low-Rank Representation for Semi-supervised Face Recognition

Yong Peng, Shen Wang, Suhang Wang, 2013, ICONIP.

Network Embedding with Centrality Information

Suhang Wang, Jiliang Tang, Yao Ma, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Price Recommendation on Vacation Rental Websites

Quan Pan, Yang Li, Tao Yang, 2017, SDM.

Signed Node Relevance Measurements pdf

Suhang Wang, Jiliang Tang, Chenxing Wang, 2017, ArXiv.

Toward Dual Roles of Users in Recommender Systems

Huan Liu, Suhang Wang, Jiliang Tang, 2015, CIKM.

Self-supervised Learning on Graphs: Deep Insights and New Direction pdf

Suhang Wang, Jiliang Tang, Wei Jin, 2020, ArXiv.

GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction

Suhang Wang, Dongwon Lee, Thai Le, 2020, KDD.

Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods

Charu C. Aggarwal, Huan Liu, Suhang Wang, 2017, KDD.

Signed Network Embedding in Social Media

Charu C. Aggarwal, Huan Liu, Yi Chang, 2017, SDM.

Understanding User Profiles on Social Media for Fake News Detection

Huan Liu, Suhang Wang, Kai Shu, 2018, 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).

CrossFire: Cross Media Joint Friend and Item Recommendations

Huan Liu, Yilin Wang, Suhang Wang, 2018, WSDM.

Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values pdf

Xianfeng Tang, Prasenjit Mitra, Charu Aggarwal, 2019, AAAI.

Node Injection Attacks on Graphs via Reinforcement Learning pdf

Vasant Honavar, Xianfeng Tang, Suhang Wang, 2019, ArXiv.

Personalized Privacy-Preserving Social Recommendation

Huan Liu, Bo Chen, Suhang Wang, 2018, AAAI.

Graph Structure Learning for Robust Graph Neural Networks

Suhang Wang, Jiliang Tang, Xiaorui Liu, 2020, KDD.

Attributed Signed Network Embedding

Charu C. Aggarwal, Suhang Wang, Jiliang Tang, 2017, CIKM.

Understanding and Identifying Rhetorical Questions in Social Media

Huan Liu, Suhang Wang, Jiliang Tang, 2018, ACM Trans. Intell. Syst. Technol..

Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts

Suhang Wang, Chandan K. Reddy, Tian Shi, 2019, CIKM.

Transferring Robustness for Graph Neural Network Against Poisoning Attacks

Prasenjit Mitra, Suhang Wang, Yandong Li, 2019, WSDM.

Global-and-Local Aware Data Generation for the Class Imbalance Problem

Wenqi Fan, Suhang Wang, Jiliang Tang, 2020, SDM.

Exploiting Emotion on Reviews for Recommender Systems

Huan Liu, Suhang Wang, Xuying Meng, 2018, AAAI.

Graph Convolutional Networks with EigenPooling

Charu C. Aggarwal, Suhang Wang, Jiliang Tang, 2019, KDD.

Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning

Yong Peng, Suhang Wang, Bao-Liang Lu, 2015, Neural Networks.

Towards Interpretation of Recommender Systems with Sorted Explanation Paths

Fan Yang, Suhang Wang, Xia Hu, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks

Prasenjit Mitra, Charu Aggarwal, Suhang Wang, 2020, CIKM.

Feature Selection

Huan Liu, Suhang Wang, Jiliang Tang, 2017, Encyclopedia of Machine Learning and Data Mining.

Disentangled Variational Auto-Encoder for Semi-supervised Learning pdf

Quan Pan, Yang Li, Tao Yang, 2017, Inf. Sci..

PPP: Joint Pointwise and Pairwise Image Label Prediction

Baoxin Li, Huan Liu, Yilin Wang, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Erik Cambria, Suhang Wang, Yukun Ma, 2020, Neurocomputing.

Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository

Suhang Wang, Enyan Dai, Yiwei Sun, 2020, ICWSM.

Graph Convolutional Networks against Degree-Related Biases pdf

Xianfeng Tang, Prasenjit Mitra, Charu Aggarwal, 2020, ArXiv.

MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models pdf

Suhang Wang, Dongwon Lee, Thai Le, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications pdf

Huan Liu, Fred Morstatter, Suhang Wang, 2017, ArXiv.

Local and Global Information Preserved Network Embedding

Suhang Wang, Jiliang Tang, Yao Ma, 2018, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Network Representation Learning in Social Media

Suhang Wang, Suhang Wang, 2018 .

Deep Headline Generation for Clickbait Detection

Huan Liu, Dongwon Lee, Suhang Wang, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Discriminative graph regularized extreme learning machine and its application to face recognition

Xianzhong Long, Yong Peng, Suhang Wang, 2015, Neurocomputing.

SAME: Sentiment-Aware Multi-Modal Embedding for Detecting Fake News

Suhang Wang, Dongwon Lee, Limeng Cui, 2019, 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements pdf

Huan Liu, Suhang Wang, Dongwon Lee, 2020, Lecture Notes in Social Networks.

Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach

Suhang Wang, Tsung-Yu Hsieh, Vasant G. Honavar, 2020, WWW.

Recommendation with Social Dimensions

Huan Liu, Yi Chang, Suhang Wang, 2016, AAAI.

Exploiting Hierarchical Structures for Unsupervised Feature Selection

Charu C. Aggarwal, Huan Liu, Yilin Wang, 2017, SDM.

Multi-dimensional Graph Convolutional Networks pdf

Charu C. Aggarwal, Suhang Wang, Jiliang Tang, 2018, SDM.

FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media pdf

Huan Liu, Dongwon Lee, Suhang Wang, 2018, ArXiv.

Predicting Online Protest Participation of Social Media Users

Fred Morstatter, Suhang Wang, Jiliang Tang, 2016, AAAI.

Graph Few-shot Learning via Knowledge Transfer

Nitesh V. Chawla, Junzhou Huang, Suhang Wang, 2020, AAAI.

Exploiting Bluetooth to Enquire Close Contacts Without Privacy Leakage

Jian Xu, Chen Wang, Suhang Wang, 2020, ML4CS.

Why X rather than Y? Explaining Neural Model' Predictions by Generating Intervention Counterfactual Samples pdf

Suhang Wang, Dongwon Lee, Thai Le, 2019, ArXiv.

What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation

Huan Liu, Yilin Wang, Suhang Wang, 2017, WWW.

Joint Local and Global Sequence Modeling in Temporal Correlation Networks for Trending Topic Detection

Huan Liu, Suhang Wang, Kai Shu, 2020, WebSci.

A Generative Model for category text generation

Quan Pan, Yang Li, Erik Cambria, 2018, Inf. Sci..

Unsupervised Representation Learning of Spatial Data via Multimodal Embedding

Suhang Wang, Zhenhui Li, Porter Jenkins, 2019, CIKM.

Identifying Rhetorical Questions in Social Media

Huan Liu, Suhang Wang, Jiliang Tang, 2021, ICWSM.

Using a Random Forest to Inspire a Neural Network and Improving on It

Charu C. Aggarwal, Huan Liu, Suhang Wang, 2017, SDM.

Fake News Detector: FND

Suhang Wang, Jiliang Tang, Shrisha Rao, 2020 .

Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals pdf

Vasant Honavar, Suhang Wang, Tsung-Yu Hsieh, 2020, ArXiv.

Exploring Implicit Hierarchical Structures for Recommender Systems

Huan Liu, Yilin Wang, Suhang Wang, 2015, IJCAI.

Fake News Detection on Social Media: A Data Mining Perspective pdf

Suhang Wang, Jiliang Tang, Amy Sliva, 2017, SKDD.

Signed Network Node Relevance Measurements

Suhang Wang, Jiliang Tang, Tyler Derr, 2017 .

Attacking Graph Convolutional Networks via Rewiring pdf

Suhang Wang, Jiliang Tang, Yao Ma, 2019, ArXiv.

Exploiting Tri-Relationship for Fake News Detection pdf

Huan Liu, Suhang Wang, Kai Shu, 2017, ArXiv.

FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media

Huan Liu, Suhang Wang, Dongwon Lee, 2018, Big Data.

Beyond word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings

Charu C. Aggarwal, Suhang Wang, Huan Liu, 2019, CIKM.

Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items

Huan Liu, Suhang Wang, Kai Shu, 2019, WSDM.

Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps

Xianfeng Tang, Prasenjit Mitra, Suhang Wang, 2020, KDD.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding

Vasant Honavar, Xianfeng Tang, Suhang Wang, 2019, IJCAI.

Unsupervised Fake News Detection on Social Media: A Generative Approach

Shuo Yang, Huan Liu, Suhang Wang, 2019, AAAI.

CLARE: A Joint Approach to Label Classification and Tag Recommendation

Baoxin Li, Huan Liu, Yilin Wang, 2017, AAAI.

Finding Time-Critical Responses for Information Seeking in Social Media

Huan Liu, Suhang Wang, Jiliang Tang, 2015, 2015 IEEE International Conference on Data Mining.

Feature Selection

Kewei Cheng, Fred Morstatter, Suhang Wang, 2016, ACM Comput. Surv..

Deep learning for feature representation

Huan Liu, Suhang Wang, 2018 .

Random-Forest-Inspired Neural Networks

Charu C. Aggarwal, Huan Liu, Suhang Wang, 2018, ACM Trans. Intell. Syst. Technol..

dEFEND: Explainable Fake News Detection

Huan Liu, Suhang Wang, Limeng Cui, 2019, KDD.

Embedded Unsupervised Feature Selection

Huan Liu, Suhang Wang, Jiliang Tang, 2015, AAAI.

Deep generative models for recommender systems

Huan Liu, Suhang Wang, Vineeth Rakesh, 2019 .

Multimodal Fusion of Brain Networks with Longitudinal Couplings

Huan Liu, Yalin Wang, Wen Zhang, 2018, MICCAI.

Paired Restricted Boltzmann Machine for Linked Data

Huan Liu, Fred Morstatter, Suhang Wang, 2016, CIKM.

dEFEND: A System for Explainable Fake News Detection

Huan Liu, Suhang Wang, Dongwon Lee, 2019, CIKM.

The Role of User Profile for Fake News Detection pdf

Huan Liu, Reza Zafarani, Suhang Wang, 2019, ArXiv.

Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information.

Suhang Wang, Enyan Dai, 2020 .

Beyond News Contents: The Role of Social Context for Fake News Detection

Huan Liu, Suhang Wang, Kai Shu, 2017, WSDM.

Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals

Suhang Wang, Yiwei Sun, Tsung-Yu Hsieh, 2021, WSDM.

Spotting Silent Buffer Overflows in Execution Trace through Graph Neural Network Assisted Data Flow Analysis pdf

Suhang Wang, Peng Liu, Zhilong Wang, 2021, ArXiv.