Structure Preserving Low-Rank Representation for Semi-supervised Face Recognition. - Yong Peng 001; Suhang Wang; Shen Wang; Bao-Liang Lu (ICONIP (2), 2013)

Embedded Unsupervised Feature Selection. - Suhang Wang; Jiliang Tang; Huan Liu 001 (AAAI, 2015)

Toward Dual Roles of Users in Recommender Systems. - Suhang Wang; Jiliang Tang; Huan Liu 001 (CIKM, 2015)

Finding Time-Critical Responses for Information Seeking in Social Media. - Suhas Ranganath; Suhang Wang; Xia Hu 001; Jiliang Tang; Huan Liu 001 (ICDM, 2015)

Exploring Implicit Hierarchical Structures for Recommender Systems. - Suhang Wang; Jiliang Tang; Yilin Wang 002; Huan Liu 001 (IJCAI, 2015)

Unsupervised Sentiment Analysis for Social Media Images. - Yilin Wang 002; Suhang Wang; Jiliang Tang; Huan Liu 001; Baoxin Li (IJCAI, 2015)

Discriminative graph regularized extreme learning machine and its application to face recognition. - Yong Peng 001; Suhang Wang; Xianzhong Long; Bao-Liang Lu (Neurocomputing, 2015)

Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning. - Yong Peng 001; Bao-Liang Lu; Suhang Wang (Neural Networks, 2015)

Predicting Online Protest Participation of Social Media Users. - Suhas Ranganath; Fred Morstatter; Xia Hu 001; Jiliang Tang; Suhang Wang; Huan Liu 001 (AAAI, 2016)

Recommendation with Social Dimensions. - Jiliang Tang; Suhang Wang; Xia Hu 001; Dawei Yin; Yingzhou Bi; Yi Chang 001; Huan Liu 001 (AAAI, 2016)

Linked Document Embedding for Classification. - Suhang Wang; Jiliang Tang; Charu C. Aggarwal; Huan Liu 001 (CIKM, 2016)

Paired Restricted Boltzmann Machine for Linked Data. - Suhang Wang; Jiliang Tang; Fred Morstatter; Huan Liu 001 (CIKM, 2016)

PPP: Joint Pointwise and Pairwise Image Label Prediction. - Yilin Wang 002; Suhang Wang; Jiliang Tang; Huan Liu 001; Baoxin Li (CVPR, 2016)

Identifying Rhetorical Questions in Social Media. - Suhas Ranganath; Xia Hu 001; Jiliang Tang; Suhang Wang; Huan Liu 001 (ICWSM, 2016)

Exploiting Emotional Information for Trust/Distrust Prediction. - Ghazaleh Beigi; Jiliang Tang; Suhang Wang; Huan Liu 001 (SDM, 2016)

Hierarchical Attention Network for Action Recognition in Videos. - Yilin Wang 002; Suhang Wang; Jiliang Tang; Neil O'Hare; Yi Chang 001; Baoxin Li (CoRR, 2016)

User Identity Linkage across Online Social Networks: A Review. - Kai Shu; Suhang Wang; Jiliang Tang; Reza Zafarani; Huan Liu 001 (SIGKDD Explor., 2016)

CLARE: A Joint Approach to Label Classification and Tag Recommendation. - Yilin Wang 002; Suhang Wang; Jiliang Tang; Guo-Jun Qi; Huan Liu 001; Baoxin Li (AAAI, 2017)

Attributed Signed Network Embedding. - Suhang Wang; Charu C. Aggarwal; Jiliang Tang; Huan Liu 001 (CIKM, 2017)

Network Embedding with Centrality Information. - Yao Ma 001; Suhang Wang; Jiliang Tang (ICDM Workshops, 2017)

Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods. - Suhang Wang; Charu C. Aggarwal; Huan Liu 001 (KDD, 2017)

Price Recommendation on Vacation Rental Websites. - Yang Li 055; Suhang Wang; Tao Yang 028; Quan Pan 001; Jiliang Tang (SDM, 2017)

Using a Random Forest to Inspire a Neural Network and Improving on It. - Suhang Wang; Charu C. Aggarwal; Huan Liu 001 (SDM, 2017)

Signed Network Embedding in Social Media. - Suhang Wang; Jiliang Tang; Charu C. Aggarwal; Yi Chang 001; Huan Liu 001 (SDM, 2017)

Exploiting Hierarchical Structures for Unsupervised Feature Selection. - Suhang Wang; Yilin Wang 002; Jiliang Tang; Charu C. Aggarwal; Suhas Ranganath; Huan Liu 001 (SDM, 2017)

What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation. - Suhang Wang; Yilin Wang 002; Jiliang Tang; Kai Shu; Suhas Ranganath; Huan Liu 001 (WWW, 2017)

Learning Word Representations for Sentiment Analysis. - Yang Li 055; Quan Pan 001; Tao Yang 028; Suhang Wang; Jiliang Tang; Erik Cambria (Cogn. Comput., 2017)

Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications. - Fred Morstatter; Kai Shu; Suhang Wang; Huan Liu 001 (CoRR, 2017)

Signed Node Relevance Measurements. - Tyler Derr; Chenxing Wang; Suhang Wang; Jiliang Tang (CoRR, 2017)

Preserving Local and Global Information for Network Embedding. - Yao Ma 001; Suhang Wang; Zhaochun Ren; Dawei Yin; Jiliang Tang (CoRR, 2017)

Exploiting Tri-Relationship for Fake News Detection. - Kai Shu; Suhang Wang; Huan Liu 001 (CoRR, 2017)

Fake News Detection on Social Media: A Data Mining Perspective. - Kai Shu; Amy Sliva; Suhang Wang; Jiliang Tang; Huan Liu 001 (SIGKDD Explor., 2017)

Facilitating Time Critical Information Seeking in Social Media. - Suhas Ranganath; Suhang Wang; Xia Hu 001; Jiliang Tang; Huan Liu 001 (IEEE Trans. Knowl. Data Eng., 2017)

Feature Selection. - Suhang Wang; Jiliang Tang; Huan Liu 001 (Encyclopedia of Machine Learning and Data Mining, 2017)

Exploiting Emotion on Reviews for Recommender Systems. - Xuying Meng; Suhang Wang; Huan Liu 001; Yujun Zhang 001 (AAAI, 2018)

Personalized Privacy-Preserving Social Recommendation. - Xuying Meng; Suhang Wang; Kai Shu; Jundong Li; Bo Chen; Huan Liu 001; Yujun Zhang 001 (AAAI, 2018)

Local and Global Information Preserved Network Embedding. - Yao Ma 001; Suhang Wang; Jiliang Tang (ASONAM, 2018)

Exploiting User Actions for App Recommendations. - Kai Shu; Suhang Wang; Huan Liu 001; Jiliang Tang; Yi Chang 001; Ping Luo 001 (ASONAM, 2018)

Deep Headline Generation for Clickbait Detection. - Kai Shu; Suhang Wang; Thai Le; Dongwon Lee 001; Huan Liu 001 (ICDM, 2018)

Towards Interpretation of Recommender Systems with Sorted Explanation Paths. - Fan Yang 023; Ninghao Liu; Suhang Wang; Xia Hu 001 (ICDM, 2018)

Multimodal Fusion of Brain Networks with Longitudinal Couplings. - Wen Zhang 010; Kai Shu; Suhang Wang; Huan Liu 001; Yalin Wang 001 (MICCAI (3), 2018)

Understanding User Profiles on Social Media for Fake News Detection. - Kai Shu; Suhang Wang; Huan Liu 001 (MIPR, 2018)

Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network. - Yilin Wang 002; Suhang Wang; Guojun Qi; Jiliang Tang; Baoxin Li (WACV, 2018)

CrossFire: Cross Media Joint Friend and Item Recommendations. - Kai Shu; Suhang Wang; Jiliang Tang; Yilin Wang 002; Huan Liu 001 (WSDM, 2018)

FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media. - Kai Shu; Deepak Mahudeswaran; Suhang Wang; Dongwon Lee 001; Huan Liu 001 (CoRR, 2018)

Feature Selection: A Data Perspective. - Jundong Li; Kewei Cheng; Suhang Wang; Fred Morstatter; Robert P. Trevino; Jiliang Tang; Huan Liu 001 (ACM Comput. Surv., 2018)

A Generative Model for category text generation. - Yang Li 055; Quan Pan 001; Suhang Wang; Tao Yang 028; Erik Cambria (Inf. Sci., 2018)

Understanding and Identifying Rhetorical Questions in Social Media. - Suhas Ranganath; Xia Hu 001; Jiliang Tang; Suhang Wang; Huan Liu 001 (ACM Trans. Intell. Syst. Technol., 2018)

Random-Forest-Inspired Neural Networks. - Suhang Wang; Charu C. Aggarwal; Huan Liu 001 (ACM Trans. Intell. Syst. Technol., 2018)

Exploring Hierarchical Structures for Recommender Systems. - Suhang Wang; Jiliang Tang; Yilin Wang 002; Huan Liu 001 (IEEE Trans. Knowl. Data Eng., 2018)

Unsupervised Fake News Detection on Social Media: A Generative Approach. - Shuo Yang 001; Kai Shu; Suhang Wang; Renjie Gu; Fan Wu 006; Huan Liu 001 (AAAI, 2019)

SAME: sentiment-aware multi-modal embedding for detecting fake news. - Limeng Cui; Suhang Wang; Dongwon Lee 001 (ASONAM, 2019)

The role of user profiles for fake news detection. - Kai Shu; Xinyi Zhou 001; Suhang Wang; Reza Zafarani; Huan Liu 001 (ASONAM, 2019)

dEFEND: A System for Explainable Fake News Detection. - Limeng Cui; Kai Shu; Suhang Wang; Dongwon Lee 001; Huan Liu 001 (CIKM, 2019)

Unsupervised Representation Learning of Spatial Data via Multimodal Embedding. - Porter Jenkins; Ahmad Farag; Suhang Wang; Zhenhui Li (CIKM, 2019)

Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts. - Tian Shi; Vineeth Rakesh; Suhang Wang; Chandan K. Reddy (CIKM, 2019)

Beyond word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings. - Suhang Wang; Charu C. Aggarwal; Huan Liu 001 (CIKM, 2019)

Privacy Preserving Text Representation Learning. - Ghazaleh Beigi; Kai Shu; Ruocheng Guo; Suhang Wang; Huan Liu 001 (HT, 2019)

Adaptive Structural Co-regularization for Unsupervised Multi-view Feature Selection. - Tsung-Yu Hsieh; Yiwei Sun; Suhang Wang; Vasant G. Honavar (ICBK, 2019)

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. - Yiwei Sun; Suhang Wang; Tsung-Yu Hsieh; Xianfeng Tang; Vasant G. Honavar (IJCAI, 2019)

Graph Convolutional Networks with EigenPooling. - Yao Ma 001; Suhang Wang; Charu C. Aggarwal; Jiliang Tang (KDD, 2019)

dEFEND: Explainable Fake News Detection. - Kai Shu; Limeng Cui; Suhang Wang; Dongwon Lee 001; Huan Liu 001 (KDD, 2019)

Multi-dimensional Graph Convolutional Networks. - Yao Ma 001; Suhang Wang; Charu C. Aggarwal; Dawei Yin; Jiliang Tang (SDM, 2019)

Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items. - Vineeth Rakesh; Suhang Wang; Kai Shu; Huan Liu 001 (WSDM, 2019)

Beyond News Contents: The Role of Social Context for Fake News Detection. - Kai Shu; Suhang Wang; Huan Liu 001 (WSDM, 2019)

The Role of User Profile for Fake News Detection. - Kai Shu; Xinyi Zhou 001; Suhang Wang; Reza Zafarani; Huan Liu 001 (CoRR, 2019)

Attacking Graph Convolutional Networks via Rewiring. - Yao Ma 001; Suhang Wang; Lingfei Wu 001; Jiliang Tang (CoRR, 2019)

I Am Not What I Write: Privacy Preserving Text Representation Learning. - Ghazaleh Beigi; Kai Shu; Ruocheng Guo; Suhang Wang; Huan Liu 001 (CoRR, 2019)

Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning. - Xianfeng Tang; Yandong Li; Yiwei Sun; Huaxiu Yao; Prasenjit Mitra; Suhang Wang (CoRR, 2019)

Node Injection Attacks on Graphs via Reinforcement Learning. - Yiwei Sun; Suhang Wang; Xianfeng Tang; Tsung-Yu Hsieh; Vasant G. Honavar (CoRR, 2019)

Why X rather than Y? Explaining Neural Model' Predictions by Generating Intervention Counterfactual Samples. - Thai Le; Suhang Wang; Dongwon Lee 001 (CoRR, 2019)

Disentangled Variational Auto-Encoder for semi-supervised learning. - Yang Li 055; Quan Pan 001; Suhang Wang; Haiyun Peng; Tao Yang 028; Erik Cambria (Inf. Sci., 2019)

Learning binary codes with neural collaborative filtering for efficient recommendation systems. - Yang Li 055; Suhang Wang; Quan Pan 001; Haiyun Peng; Tao Yang 028; Erik Cambria (Knowl. Based Syst., 2019)

Towards privacy preserving social recommendation under personalized privacy settings. - Xuying Meng; Suhang Wang; Kai Shu; Jundong Li; Bo Chen; Huan Liu 001; Yujun Zhang 001 (World Wide Web, 2019)

Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values. - Xianfeng Tang; Huaxiu Yao; Yiwei Sun; Charu C. Aggarwal; Prasenjit Mitra; Suhang Wang (AAAI, 2020)

Graph Few-Shot Learning via Knowledge Transfer. - Huaxiu Yao; Chuxu Zhang; Ying Wei 001; Meng Jiang 001; Suhang Wang; Junzhou Huang; Nitesh V. Chawla; Zhenhui Li (AAAI, 2020)

Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks. - Xianfeng Tang; Huaxiu Yao; Yiwei Sun; Yiqi Wang 001; Jiliang Tang; Charu C. Aggarwal; Prasenjit Mitra; Suhang Wang (CIKM, 2020)

Semi-Supervised Graph-to-Graph Translation. - Tianxiang Zhao 001; Xianfeng Tang; Xiang Zhang 001; Suhang Wang (CIKM, 2020)

Learning Latent Perception Graphs for Personalized Unknowns Recommendation. - Lo Pang-Yun Ting; Shan-Yun Teng; Suhang Wang; Kun-Ta Chuang; Huan Liu 001 (CogMI, 2020)

MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models. - Thai Le; Suhang Wang; Dongwon Lee 001 (ICDM, 2020)

Learning from Incomplete Labeled Data via Adversarial Data Generation. - Wentao Wang 006; Tyler Derr; Yao Ma 001; Suhang Wang; Hui Liu 031; Zitao Liu 001; Jiliang Tang (ICDM, 2020)

Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository. - Enyan Dai; Yiwei Sun; Suhang Wang (ICWSM, 2020)

Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation. - Kai Shu; Deepak Mahudeswaran; Suhang Wang; Huan Liu 001 (ICWSM, 2020)

DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation. - Limeng Cui; Haeseung Seo; Maryam Tabar; Fenglong Ma; Suhang Wang; Dongwon Lee 001 (KDD, 2020)

Graph Structure Learning for Robust Graph Neural Networks. - Wei Jin 009; Yao Ma 001; Xiaorui Liu; Xianfeng Tang; Suhang Wang; Jiliang Tang (KDD, 2020)

GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction. - Thai Le; Suhang Wang; Dongwon Lee 001 (KDD, 2020)

Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. - Xianfeng Tang; Yozen Liu; Neil Shah; Xiaolin Shi; Prasenjit Mitra; Suhang Wang (KDD, 2020)

Exploiting Bluetooth to Enquire Close Contacts Without Privacy Leakage. - Suhang Wang; Chen Wang; Jian Xu (ML4CS (1), 2020)

Global-and-Local Aware Data Generation for the Class Imbalance Problem. - Wentao Wang 006; Suhang Wang; Wenqi Fan; Zitao Liu 001; Jiliang Tang (SDM, 2020)

Joint Local and Global Sequence Modeling in Temporal Correlation Networks for Trending Topic Detection. - Kai Shu; Liangda Li; Suhang Wang; Yunhong Zhou; Huan Liu 001 (WebSci, 2020)

Deep Multi-Graph Clustering via Attentive Cross-Graph Association. - Dongsheng Luo; Jingchao Ni; Suhang Wang; Yuchen Bian; Xiong Bill Yu; Xiang Zhang 001 (WSDM, 2020)

Transferring Robustness for Graph Neural Network Against Poisoning Attacks. - Xianfeng Tang; Yandong Li; Yiwei Sun; Huaxiu Yao; Prasenjit Mitra; Suhang Wang (WSDM, 2020)

Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach. - Yiwei Sun; Suhang Wang; Xianfeng Tang; Tsung-Yu Hsieh; Vasant G. Honavar (WWW, 2020)

FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media. - Kai Shu; Deepak Mahudeswaran; Suhang Wang; Dongwon Lee 001; Huan Liu 001 (Big Data, 2020)

Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements. - Kai Shu; Suhang Wang; Dongwon Lee 001; Huan Liu 001 (CoRR, 2020)

Self-supervised Learning on Graphs: Deep Insights and New Direction. - Wei Jin 009; Tyler Derr; Haochen Liu; Yiqi Wang 001; Suhang Wang; Zitao Liu 001; Jiliang Tang (CoRR, 2020)

Graph Convolutional Networks against Degree-Related Biases. - Xianfeng Tang; Huaxiu Yao; Yiwei Sun; Yiqi Wang 001; Jiliang Tang; Charu C. Aggarwal; Prasenjit Mitra; Suhang Wang (CoRR, 2020)

FairGNN: Eliminating the Discrimination in Graph Neural Networks with Limited Sensitive Attribute Information. - Enyan Dai; Suhang Wang (CoRR, 2020)

Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals. - Tsung-Yu Hsieh; Suhang Wang; Yiwei Sun; Vasant G. Honavar (CoRR, 2020)

Popularity prediction on vacation rental websites. - Yang Li 055; Suhang Wang; Yukun Ma; Quan Pan 001; Erik Cambria (Neurocomputing, 2020)

Neural Utility Functions. - Porter Jenkins; Ahmad Farag; J. Stockton Jenkins; Huaxiu Yao; Suhang Wang; Zhenhui Li (AAAI, 2021)

Towards Self-Explainable Graph Neural Network. - Enyan Dai; Suhang Wang (CIKM, 2021)

Graph Adversarial Attack via Rewiring. - Yao Ma 001; Suhang Wang; Tyler Derr; Lingfei Wu 001; Jiliang Tang (KDD, 2021)

NRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs. - Enyan Dai; Charu Aggarwal 001; Suhang Wang (KDD, 2021)

Labeled Data Generation with Inexact Supervision. - Enyan Dai; Kai Shu; Yiwei Sun; Suhang Wang (KDD, 2021)

Learning How to Propagate Messages in Graph Neural Networks. - Teng Xiao; Zhengyu Chen 001; Donglin Wang; Suhang Wang (KDD, 2021)

Functional Autoencoders for Functional Data Representation Learning. - Tsung-Yu Hsieh; Yiwei Sun; Suhang Wang; Vasant G. Honavar (SDM, 2021)

Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information. - Enyan Dai; Suhang Wang (WSDM, 2021)

Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals. - Tsung-Yu Hsieh; Suhang Wang; Yiwei Sun; Vasant G. Honavar (WSDM, 2021)

GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks. - Tianxiang Zhao 001; Xiang Zhang 001; Suhang Wang (WSDM, 2021)

SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series. - Tsung-Yu Hsieh; Yiwei Sun; Xianfeng Tang; Suhang Wang; Vasant G. Honavar (WWW, 2021)

Spotting Silent Buffer Overflows in Execution Trace through Graph Neural Network Assisted Data Flow Analysis. - Zhilong Wang; Li Yu; Suhang Wang; Peng Liu (CoRR, 2021)

You Can Still Achieve Fairness Without Sensitive Attributes: Exploring Biases in Non-Sensitive Features. - Tianxiang Zhao 001; Enyan Dai; Kai Shu; Suhang Wang (CoRR, 2021)

Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network. - Yuqing Hu 002; Xiaoyuan Cheng; Suhang Wang; Jianli Chen; Tianxiang Zhao 001; Enyan Dai (CoRR, 2021)

Label-Wise Message Passing Graph Neural Network on Heterophilic Graphs. - Enyan Dai; Zhimeng Guo; Suhang Wang (CoRR, 2021)

Semi-supervised anomaly detection in dynamic communication networks. - Xuying Meng; Suhang Wang; Zhimin Liang; Di Yao 001; Jihua Zhou; Yujun Zhang 001 (Inf. Sci., 2021)

Graph routing between capsules. - Yang Li 055; Wei Zhao 033; Erik Cambria; Suhang Wang; Steffen Eger (Neural Networks, 2021)

Interactive Anomaly Detection in Dynamic Communication Networks. - Xuying Meng; Yequan Wang; Suhang Wang; Di Yao 001; Yujun Zhang 001 (IEEE/ACM Trans. Netw., 2021)

Towards Off-Policy Learning for Ranking Policies with Logged Feedback. - Teng Xiao; Suhang Wang (AAAI, 2022)

Representation Matters When Learning From Biased Feedback in Recommendation. - Teng Xiao; Zhengyu Chen 001; Suhang Wang (CIKM, 2022)

HP-GMN: Graph Memory Networks for Heterophilous Graphs. - Junjie Xu; Enyan Dai; Xiang Zhang 001; Suhang Wang (ICDM, 2022)

Label-Wise Graph Convolutional Network for Heterophilic Graphs. - Enyan Dai; Shijie Zhou; Zhimeng Guo; Suhang Wang (LoG, 2022)

TopoImb: Toward Topology-Level Imbalance in Learning From Graphs. - Tianxiang Zhao 001; Dongsheng Luo; Xiang Zhang 001; Suhang Wang (LoG, 2022)

Decoupled Self-supervised Learning for Graphs. - Teng Xiao; Zhengyu Chen 001; Zhimeng Guo; Zeyang Zhuang; Suhang Wang (NeurIPS, 2022)

Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels. - Enyan Dai; Wei Jin 009; Hui Liu 031; Suhang Wang (WSDM, 2022)

Friend Story Ranking with Edge-Contextual Local Graph Convolutions. - Xianfeng Tang; Yozen Liu; Xinran He; Suhang Wang; Neil Shah (WSDM, 2022)

Towards Unbiased and Robust Causal Ranking for Recommender Systems. - Teng Xiao; Suhang Wang (WSDM, 2022)

Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features. - Tianxiang Zhao 001; Enyan Dai; Kai Shu; Suhang Wang (WSDM, 2022)

Exploring Edge Disentanglement for Node Classification. - Tianxiang Zhao 001; Xiang Zhang 001; Suhang Wang (WWW, 2022)

Learning Fair Models without Sensitive Attributes: A Generative Approach. - Huaisheng Zhu; Suhang Wang (CoRR, 2022)

On Consistency in Graph Neural Network Interpretation. - Tianxiang Zhao 001; Dongsheng Luo; Xiang Zhang 001; Suhang Wang (CoRR, 2022)

Decoupled Self-supervised Learning for Non-Homophilous Graphs. - Teng Xiao; Zhengyu Chen 001; Zhimeng Guo; Zeyang Zhuang; Suhang Wang (CoRR, 2022)

Towards Bridging Algorithm and Theory for Unbiased Recommendation. - Teng Xiao; Zhengyu Chen 001; Suhang Wang (CoRR, 2022)

Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks. - Tianxiang Zhao 001; Xiang Zhang 001; Suhang Wang (CoRR, 2022)

Link Prediction on Heterophilic Graphs via Disentangled Representation Learning. - Shijie Zhou; Zhimeng Guo; Charu C. Aggarwal; Xiang Zhang 001; Suhang Wang (CoRR, 2022)

Integrating Multimodal and Longitudinal Neuroimaging Data with Multi-Source Network Representation Learning. - Wen Zhang 010; B. Blair Braden; Gustavo Miranda; Kai Shu; Suhang Wang; Huan Liu 001; Yalin Wang 001 (Neuroinformatics, 2022)

Towards Fair Graph Neural Networks via Graph Counterfactual. - Zhimeng Guo; Jialiang Li 003; Teng Xiao; Yao Ma 001; Suhang Wang (CIKM, 2023)

Jointly Attacking Graph Neural Network and its Explanations. - Wenqi Fan; Han Xu 002; Wei Jin 009; Xiaorui Liu; Xianfeng Tang; Suhang Wang; Qing Li 001; Jiliang Tang; Jianping Wang 001; Charu C. Aggarwal (ICDE, 2023)

Outlier Detection and Correction for Time Series Data of Tunnel Boring Machine. - Yitang Wang; Suhang Wang; Yong Pang; Xueguan Song (ICIRA (6), 2023)

Exploiting Intent Evolution in E-commercial Query Recommendation. - Yu Wang 158; Zhengyang Wang; Hengrui Zhang; Qingyu Yin; Xianfeng Tang; Yinghan Wang; Danqing Zhang; Limeng Cui; Monica Xiao Cheng; Bing Yin; Suhang Wang; Philip S. Yu (KDD, 2023)

A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. - Enyan Dai; Limeng Cui; Zhengyang Wang; Xianfeng Tang; Yinghan Wang; Monica Xiao Cheng; Bing Yin; Suhang Wang (KDD, 2023)

Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective. - Teng Xiao; Zhengyu Chen 001; Suhang Wang (KDD, 2023)

Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. - Tianxiang Zhao 001; Wenchao Yu; Suhang Wang; Lu Wang 029; Xiang Zhang 001; Yuncong Chen; Yanchi Liu; Wei Cheng 002; Haifeng Chen (KDD, 2023)

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. - Wei Jin 009; Haitao Mao; Zheng Li 018; Haoming Jiang; Chen Luo 003; Hongzhi Wen; Haoyu Han 001; Hanqing Lu; Zhengyang Wang; Ruirui Li 002; Zhen Li; Monica Xiao Cheng; et al. (NeurIPS, 2023)

Certifiably Robust Graph Contrastive Learning. - Minhua Lin; Teng Xiao; Enyan Dai; Xiang Zhang 001; Suhang Wang (NeurIPS, 2023)

Simple and Asymmetric Graph Contrastive Learning without Augmentations. - Teng Xiao; Huaisheng Zhu; Zhengyu Chen 001; Suhang Wang (NeurIPS, 2023)

You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network. - Huaisheng Zhu; Xianfeng Tang; Tianxiang Zhao 001; Suhang Wang (PAKDD (2), 2023)

STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation. - Wanda Li; Wenhao Zheng 001; Xuanji Xiao; Suhang Wang (RecSys, 2023)

Towards Faithful and Consistent Explanations for Graph Neural Networks. - Tianxiang Zhao 001; Dongsheng Luo; Xiang Zhang 001; Suhang Wang (WSDM, 2023)

Unnoticeable Backdoor Attacks on Graph Neural Networks. - Enyan Dai; Minhua Lin; Xiang Zhang 001; Suhang Wang (WWW, 2023)

Counterfactual Learning on Graphs: A Survey. - Zhimeng Guo; Teng Xiao; Charu Aggarwal 001; Hui Liu 031; Suhang Wang (CoRR, 2023)

Self-Explainable Graph Neural Networks for Link Prediction. - Huaisheng Zhu; Dongsheng Luo; Xianfeng Tang; Junjie Xu; Hui Liu 031; Suhang Wang (CoRR, 2023)

Fairness-aware Message Passing for Graph Neural Networks. - Huaisheng Zhu; Guoji Fu; Zhimeng Guo; Zhiwei Zhang; Teng Xiao; Suhang Wang (CoRR, 2023)

Recent Developments in Recommender Systems: A Survey. - Yang Li 055; Kangbo Liu; Ranjan Satapathy; Suhang Wang; Erik Cambria (CoRR, 2023)

Improving Fairness of Graph Neural Networks: A Graph Counterfactual Perspective. - Zhimeng Guo; Jialiang Li 003; Teng Xiao; Yao Ma 001; Suhang Wang (CoRR, 2023)

Dynamic DAG Discovery for Interpretable Imitation Learning. - Tianxiang Zhao 001; Wenchao Yu; Suhang Wang; Lu Wang 029; Xiang Zhang 001; Yuncong Chen; Yanchi Liu; Wei Cheng 002; Haifeng Chen (CoRR, 2023)

Learning Graph Filters for Spectral GNNs via Newton Interpolation. - Junjie Xu; Enyan Dai; Dongsheng Luo; Xiang Zhang 001; Suhang Wang (CoRR, 2023)

Learning Fair Graph Neural Networks With Limited and Private Sensitive Attribute Information. - Enyan Dai; Suhang Wang (IEEE Trans. Knowl. Data Eng., 2023)

Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment. - Tianxiang Zhao 001; Dongsheng Luo; Xiang Zhang 001; Suhang Wang (ACM Trans. Intell. Syst. Technol., 2023)

Learning fair models without sensitive attributes: A generative approach. - Huaisheng Zhu; Enyan Dai; Hui Liu 031; Suhang Wang (Neurocomputing, 2023)

Spectral-Based Graph Neural Networks for Complementary Item Recommendation. - Haitong Luo; Xuying Meng; Suhang Wang; Hanyun Cao; Weiyao Zhang; Yequan Wang; Yujun Zhang 001 (AAAI, 2024)

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. - Bowen Jin; Chulin Xie; Jiawei Zhang 001; Kashob Kumar Roy; Yu Zhang 044; Zheng Li 018; Ruirui Li 002; Xianfeng Tang; Suhang Wang; Yu Meng 001; Jiawei Han 001 (ACL (Findings), 2024)

AmGNN: A Framework for Adaptive Processing of Inter-layer Information in Multi-layer Graph. - Huaisheng Zhu; Zongyu Wu 001; Tianxiang Zhao 001; Suhang Wang (ASONAM (1), 2024)

Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models. - Quan Li; Tianxiang Zhao 001; Lingwei Chen; Junjie Xu; Suhang Wang (IEEE Big Data, 2024)

HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training. - Fali Wang; Tianxiang Zhao 001; Junjie Xu; Suhang Wang (CIKM, 2024)

Shape-aware Graph Spectral Learning. - Junjie Xu; Enyan Dai; Dongsheng Luo; Xiang Zhang 001; Suhang Wang (CIKM, 2024)

Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier. - Zhichao Hou; Minhua Lin; MohamadAli Torkamani; Suhang Wang; Xiaorui Liu (DSAA, 2024)

Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector. - Xianren Zhang; Dongwon Lee 001; Suhang Wang (ECCV (81), 2024)

InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. - Fali Wang; Runxue Bao; Suhang Wang; Wenchao Yu; Yanchi Liu; Wei Cheng 002; Haifeng Chen (EMNLP (Findings), 2024)

A Simulation Model of Control System for a Lightweight Space Active Mirror. - Kainan Wang; Yang Yi; Xuemin Zhang; Suhang Wang (ICAIT, 2024)

LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data. - Haoyu Wang 004; Ruirui Li 002; Zhengyang Wang; Xianfeng Tang; Danqing Zhang; Monica Xiao Cheng; Bing Yin; Jasha Droppo; Suhang Wang; Jing Gao 004 (ICDE, 2024)

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. - Tianxin Wei; Bowen Jin; Ruirui Li 002; Hansi Zeng; Zhengyang Wang; Jianhui Sun; Qingyu Yin; Hanqing Lu; Suhang Wang; Jingrui He; Xianfeng Tang (ICLR, 2024)

Language Models as Semantic Indexers. - Bowen Jin; Hansi Zeng; Guoyin Wang 001; Xiusi Chen; Tianxin Wei; Ruirui Li 002; Zhengyang Wang; Zheng Li 018; Yang Li; Hanqing Lu; Suhang Wang; Jiawei Han 001; et al. (ICML, 2024)

Efficient Contrastive Learning for Fast and Accurate Inference on Graphs. - Teng Xiao; Huaisheng Zhu; Zhiwei Zhang; Zhimeng Guo; Charu C. Aggarwal; Suhang Wang; Vasant G. Honavar (ICML, 2024)

Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark. - Xiaowei Qian; Zhimeng Guo; Jialiang Li 003; Haitao Mao; Bingheng Li; Suhang Wang; Yao Ma 001 (KDD, 2024)

Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective. - Zhiwei Zhang; Minhua Lin; Enyan Dai; Suhang Wang (KDD, 2024)

Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling. - Tianxiang Zhao 001; Dongsheng Luo; Xiang Zhang 001; Suhang Wang (KDD, 2024)

Universal Prompt Optimizer for Safe Text-to-Image Generation. - Zongyu Wu 001; Hongcheng Gao; Yueze Wang; Xiang Zhang 001; Suhang Wang (NAACL-HLT, 2024)

Active Learning for Graphs with Noisy Structures. - Hongliang Chi; Cong Qi; Suhang Wang; Yao Ma 001 (SDM, 2024)

Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels. - Fali Wang; Tianxiang Zhao 001; Suhang Wang (WSDM, 2024)

Interpretable Imitation Learning with Dynamic Causal Relations. - Tianxiang Zhao 001; Wenchao Yu; Suhang Wang; Lu Wang 029; Xiang Zhang 001; Yuncong Chen; Yanchi Liu; Wei Cheng 002; Haifeng Chen (WSDM, 2024)

Hierarchical Query Classification in E-commerce Search. - Bing He 002; Sreyashi Nag; Limeng Cui; Suhang Wang; Zheng Li 018; Rahul Goutam; Zhen Li; Haiyang Zhang (WWW (Companion Volume), 2024)

Disambiguated Node Classification with Graph Neural Networks. - Tianxiang Zhao 001; Xiang Zhang 001; Suhang Wang (WWW, 2024)

Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback. - Teng Xiao; Suhang Wang (CoRR, 2024)

PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection. - Enyan Dai; Minhua Lin; Suhang Wang (CoRR, 2024)

Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. - Qian Ma 012; Hongliang Chi; Hengrui Zhang; Kay Liu; Zhiwei Zhang; Lu Cheng 001; Suhang Wang; Philip S. Yu; Yao Ma 001 (CoRR, 2024)

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. - Bowen Jin; Chulin Xie; Jiawei Zhang 001; Kashob Kumar Roy; Yu Zhang 044; Suhang Wang; Yu Meng 001; Jiawei Han 001 (CoRR, 2024)

LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning. - Junjie Xu; Zongyu Wu 001; Minhua Lin; Xiang Zhang 001; Suhang Wang (CoRR, 2024)

Robustness-Inspired Defense Against Backdoor Attacks on Graph Neural Networks. - Zhiwei Zhang; Minhua Lin; Junjie Xu; Zongyu Wu 001; Enyan Dai; Suhang Wang (CoRR, 2024)

Enhancing Data-Limited Graph Neural Networks by Actively Distilling Knowledge from Large Language Models. - Quan Li; Tianxiang Zhao 001; Lingwei Chen; Junjie Xu; Suhang Wang (CoRR, 2024)

Enhance Graph Alignment for Large Language Models. - Haitong Luo; Xuying Meng; Suhang Wang; Tianxiang Zhao 001; Fali Wang; Hanyun Cao; Yujun Zhang 001 (CoRR, 2024)

Divide-Verify-Refine: Aligning LLM Responses with Complex Instructions. - Xianren Zhang; Xianfeng Tang; Hui Liu 031; Zongyu Wu 001; Qi He 002; Dongwon Lee 001; Suhang Wang (CoRR, 2024)

Trojan Prompt Attacks on Graph Neural Networks. - Minhua Lin; Zhiwei Zhang; Enyan Dai; Zongyu Wu 001; Yilong Wang 001; Xiang Zhang 001; Suhang Wang (CoRR, 2024)

Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge. - Zhiwei Zhang; Fali Wang; Xiaomin Li; Zongyu Wu 001; Xianfeng Tang; Hui Liu 031; Qi He 002; Wenpeng Yin 001; Suhang Wang (CoRR, 2024)

Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation. - Minhua Lin; Zhengzhang Chen; Yanchi Liu; Xujiang Zhao; Zongyu Wu 001; Junxiang Wang; Xiang Zhang 001; Suhang Wang; Haifeng Chen (CoRR, 2024)

A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness. - Fali Wang; Zhiwei Zhang; Xianren Zhang; Zongyu Wu 001; Tzuhao Mo; Qiuhao Lu; Wanjing Wang; Rui Li; Junjie Xu; Xianfeng Tang; Qi He 002; Yao Ma 001; et al. (CoRR, 2024)

A Survey of Calibration Process for Black-Box LLMs. - Liangru Xie; Hui Liu 003; Jingying Zeng; Xianfeng Tang; Yan Han 001; Chen Luo 003; Jing Huang; Zhen Li; Suhang Wang; Qi He 002 (CoRR, 2024)

Future-generation attack and defense in neural networks. - Yang Li 055; Dongrui Wu; Suhang Wang (Future Gener. Comput. Syst., 2024)

A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability. - Enyan Dai; Tianxiang Zhao 001; Huaisheng Zhu; Junjie Xu; Zhimeng Guo; Hui Liu 031; Jiliang Tang; Suhang Wang (Mach. Intell. Res., 2024)

Imbalanced Node Classification With Synthetic Over-Sampling. - Tianxiang Zhao 001; Xiang Zhang 001; Suhang Wang (IEEE Trans. Knowl. Data Eng., 2024)

A General Framework to Enhance Fine-tuning-based LLM Unlearning. - Jie Ren 019; Zhenwei Dai; Xianfeng Tang; Hui Liu; Jingying Zeng; Zhen Li; Rahul Goutam; Suhang Wang; Yue Xing 002; Qi He 002 (ACL (Findings), 2025)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. - Yingqian Cui; Pengfei He; Jingying Zeng; Hui Liu 003; Xianfeng Tang; Zhenwei Dai; Yan Han 001; Chen Luo 003; Jing Huang; Zhen Li; Suhang Wang; Yue Xing 002; et al. (ACL (Findings), 2025)

Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions? - Xianren Zhang; Xianfeng Tang; Hui Liu 031; Zongyu Wu 001; Qi He 002; Dongwon Lee 001; Suhang Wang (ACL (Findings), 2025)

Exploring Language Model Generalization in Low-Resource Extractive QA. - Saptarshi Sengupta; Wenpeng Yin 001; Preslav Nakov; Shreya Ghosh 002; Suhang Wang (COLING, 2025)

TOP-Training: Target-Oriented Pretraining for Medical Extractive Question Answering. - Saptarshi Sengupta; Connor T. Heaton; Shreya Ghosh 002; Wenpeng Yin 001; Preslav Nakov; Suhang Wang (COLING, 2025)

Robustness Inspired Graph Backdoor Defense. - Zhiwei Zhang; Minhua Lin; Junjie Xu; Zongyu Wu 001; Enyan Dai; Suhang Wang (ICLR, 2025)

Catastrophic Failure of LLM Unlearning via Quantization. - Zhiwei Zhang; Fali Wang; Xiaomin Li; Zongyu Wu 001; Xianfeng Tang; Hui Liu 031; Qi He 002; Wenpeng Yin 001; Suhang Wang (ICLR, 2025)

Stealing Training Graphs from Graph Neural Networks. - Minhua Lin; Enyan Dai; Junjie Xu; Jinyuan Jia 001; Xiang Zhang 001; Suhang Wang (KDD (1), 2025)

Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data. - Juanhui Li; Sreyashi Nag; Hui Liu 031; Xianfeng Tang; Sheikh Muhammad Sarwar; Limeng Cui; Hansu Gu; Suhang Wang; Qi He 002; Jiliang Tang (NAACL (Findings), 2025)

SmGNN: Link Prediction in Sparse Layers of Multi-layer Graphs. - Huaisheng Zhu; Tianxiang Zhao 001; Zongyu Wu 001; Suhang Wang (WebSci, 2025)

Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs. - Yilong Wang 001; Tianxiang Zhao 001; Zongyu Wu 001; Suhang Wang (WSDM, 2025)

Fairness-aware Prompt Tuning for Graph Neural Networks. - Zhengpin Li; Minhua Lin; Jian Wang 016; Suhang Wang (WWW, 2025)

ROPU: A robust online positive-unlabeled learning algorithm. - Xijun Liang; Kaili Zhu; An Xiao; Ya Wen; Kaili Zhang; Suhang Wang; Ling Jian (Knowl. Based Syst., 2025)

Graph-based Molecular In-context Learning Grounded on Morgan Fingerprints. - Ali Al-Lawati; Jason Lucas; Zhiwei Zhang; Prasenjit Mitra; Suhang Wang (CoRR, 2025)

LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models. - Zongyu Wu 001; Yuwei Niu; Hongcheng Gao; Minhua Lin; Zhiwei Zhang; Zhifang Zhang; Qi Shi; Yilong Wang 001; Sike Fu; Junjie Xu; Junjie Ao; Enyan Dai; et al. (CoRR, 2025)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. - Yingqian Cui; Pengfei He; Jingying Zeng; Hui Liu 003; Xianfeng Tang; Zhenwei Dai; Yan Han 001; Chen Luo 003; Jing Huang; Zheng Li 018; Suhang Wang; Yue Xing 002; et al. (CoRR, 2025)

A General Framework to Enhance Fine-tuning-based LLM Unlearning. - Jie Ren 019; Zhenwei Dai; Xianfeng Tang; Hui Liu 003; Jingying Zeng; Zhen Li; Rahul Goutam; Suhang Wang; Yue Xing 002; Qi He 002 (CoRR, 2025)

How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities. - Minhua Lin; Hui Liu 003; Xianfeng Tang; Jingying Zeng; Zhenwei Dai; Chen Luo 003; Zheng Li 018; Xiang Zhang 001; Qi He 002; Suhang Wang (CoRR, 2025)

Counterfactual Learning on Graphs: A Survey. - Zhimeng Guo; Zongyu Wu 001; Teng Xiao; Charu Aggarwal 001; Hui Liu 031; Suhang Wang (Mach. Intell. Res., 2025)

Towards Prototype-Based Self-Explainable Graph Neural Network. - Enyan Dai; Suhang Wang (ACM Trans. Knowl. Discov. Data, 2025)

Towards Graph Foundation Models: A Transferability Perspective. - Yuxiang Wang; Wenqi Fan; Suhang Wang; Yao Ma 001 (CoRR, 2025)

Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning. - Yilong Wang 001; Jiahao Zhang; Tianxiang Zhao 001; Suhang Wang (CoRR, 2025)

Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking. - Liangliang Zhang; Zhuorui Jiang; Hongliang Chi; Haoyang Chen; Mohammed Elkoumy; Fali Wang; Qiong Wu 008; Zhengyi Zhou; Shirui Pan; Suhang Wang; Yao Ma 001 (CoRR, 2025)

GPR: Empowering Generation with Graph-Pretrained Retriever. - Xiaochen Wang 002; Zongyu Wu 001; Yuan Zhong 002; Xiang Zhang 001; Suhang Wang; Fenglong Ma (CoRR, 2025)

Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy. - Jie Ren 019; Zhenwei Dai; Xianfeng Tang; Yue Xing 002; Shenglai Zeng; Hui Liu 031; Jingying Zeng; Qiankun Peng; Samarth Varshney; Suhang Wang; Qi He 002; Charu C. Aggarwal; et al. (CoRR, 2025)

Unlearning Inversion Attacks for Graph Neural Networks. - Jiahao Zhang; Yilong Wang 001; Zhiwei Zhang; Xiaorui Liu; Suhang Wang (CoRR, 2025)

Attention Knows Whom to Trust: Attention-based Trust Management for LLM Multi-Agent Systems. - Pengfei He; Zhenwei Dai; Xianfeng Tang; Yue Xing 002; Hui Liu 003; Jingying Zeng; Qiankun Peng; Shrivats Agrawal; Samarth Varshney; Suhang Wang; Jiliang Tang; Qi He 002 (CoRR, 2025)

BioMol-MQA: A Multi-Modal Question Answering Dataset For LLM Reasoning Over Bio-Molecular Interactions. - Saptarshi Sengupta; Shuhua Yang; Paul Kwong Yu; Fali Wang; Suhang Wang (CoRR, 2025)

Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models. - Zongyu Wu 001; Minhua Lin; Zhiwei Zhang; Fali Wang; Xianren Zhang; Xiang Zhang 001; Suhang Wang (CoRR, 2025)

Does Multimodal Large Language Model Truly Unlearn? Stealthy MLLM Unlearning Attack. - Xianren Zhang; Hui Liu 031; Delvin Ce Zhang; Xianfeng Tang; Qi He 002; Dongwon Lee 001; Suhang Wang (CoRR, 2025)

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules. - Junjie Xu; Jiahao Zhang; Mangal Prakash; Xiang Zhang 001; Suhang Wang (CoRR, 2025)

Bradley-Terry and Multi-Objective Reward Modeling Are Complementary. - Zhiwei Zhang; Hui Liu; Xiaomin Li; Zhenwei Dai; Jingying Zeng; Fali Wang; Minhua Lin; Ramraj Chandradevan; Zheng Li 018; Chen Luo 003; Xianfeng Tang; Qi He 002; et al. (CoRR, 2025)

AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks. - Fali Wang; Hui Liu 031; Zhenwei Dai; Jingying Zeng; Zhiwei Zhang; Zongyu Wu 001; Chen Luo 003; Zheng Li 018; Xianfeng Tang; Qi He 002; Suhang Wang (CoRR, 2025)

Generalize across Homophily and Heterophily: Hybrid Spectral Graph Pre-Training and Prompt Tuning. - Haitong Luo; Suhang Wang; Weiyao Zhang; Ruiqi Meng; Xuying Meng; Yujun Zhang 001 (CoRR, 2025)

SpecDetect: Simple, Fast, and Training-Free Detection of LLM-Generated Text via Spectral Analysis. - Haitong Luo; Weiyao Zhang; Suhang Wang; Wenji Zou; Chungang Lin; Xuying Meng; Yujun Zhang 001 (CoRR, 2025)

A Functionality-Grounded Benchmark for Evaluating Web Agents in E-commerce Domains. - Xianren Zhang; Shreyas Prasad; Di Wang; Qiuhai Zeng; Suhang Wang; Wenbo Yan; Mat Hans (CoRR, 2025)