Deep eye fixation map learning for calibration-free eye gaze tracking. - Kang Wang 002; Shen Wang 005; Qiang Ji (ETRA, 2016)

Multi-way Multi-level Kernel Modeling for Neuroimaging Classification. - Lifang He 001; Chun-Ta Lu; Hao Ding 003; Shen Wang 005; Linlin Shen; Philip S. Yu; Ann B. Ragin (CVPR, 2017)

Kernelized Support Tensor Machines. - Lifang He 001; Chun-Ta Lu; Guixiang Ma; Shen Wang 005; LinLin Shen; Philip S. Yu; Ann B. Ragin (ICML, 2017)

Structural Deep Brain Network Mining. - Shen Wang 005; Lifang He 001; Bokai Cao; Chun-Ta Lu; Philip S. Yu; Ann B. Ragin (KDD, 2017)

Market Abnormality Period Detection via Co-movement Attention Model. - Yue Wang 014; Chenwei Zhang; Shen Wang 005; Philip S. Yu; Lu Bai 001; Lixin Cui (IEEE BigData, 2018)

Deep Co-Investment Network Learning for Financial Assets. - Yue Wang 014; Chenwei Zhang; Shen Wang 005; Philip S. Yu; Lu Bai 001; Lixin Cui (ICBK, 2018)

Deep Program Reidentification: A Graph Neural Network Solution. - Shen Wang 005; Zhengzhang Chen; Ding Li 001; Lu-An Tang; Jingchao Ni; Zhichun Li; Junghwan Rhee; Haifeng Chen; Philip S. Yu (CoRR, 2018)

Heterogeneous Graph Matching Networks: Application to Unknown Malware Detection. - Shen Wang 005; Philip S. Yu (IEEE BigData, 2019)

Heterogeneous Graph Matching Networks for Unknown Malware Detection. - Shen Wang 005; Zhengzhang Chen; Xiao Yu 007; Ding Li 001; Jingchao Ni; Lu-An Tang; Jiaping Gui; Zhichun Li; Haifeng Chen; Philip S. Yu (IJCAI, 2019)

Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification. - Shen Wang 005; Zhengzhang Chen; Ding Li 001; Zhichun Li; Lu-An Tang; Jingchao Ni; Junghwan Rhee; Haifeng Chen; Philip S. Yu (SDM, 2019)

Adversarial Defense Framework for Graph Neural Network. - Shen Wang 005; Zhengzhang Chen; Jingchao Ni; Xiao Yu 007; Zhichun Li; Haifeng Chen; Philip S. Yu (CoRR, 2019)

Heterogeneous Graph Matching Networks. - Shen Wang 005; Zhengzhang Chen; Xiao Yu 007; Ding Li 001; Jingchao Ni; Lu-An Tang; Jiaping Gui; Zhichun Li; Haifeng Chen; Philip S. Yu (CoRR, 2019)

H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network. - Shen Wang 005; Xiaokai Wei; Cícero Nogueira dos Santos; Zhiguo Wang; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang; Philip S. Yu (EMNLP (1), 2020)

Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. - Jibing Gong; Shen Wang 005; Jinlong Wang 005; Wenzheng Feng; Hao Peng 001; Jie Tang 001; Philip S. Yu (SIGIR, 2020)

Generative temporal link prediction via self-tokenized sequence modeling. - Yue Wang 014; Chenwei Zhang; Shen Wang 005; Philip S. Yu; Lu Bai 001; Lixin Cui; Guandong Xu (World Wide Web, 2020)

Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding. - Shen Wang 005; Xiaokai Wei; Cícero Nogueira dos Santos; Zhiguo Wang; Ramesh Nallapati; Andrew O. Arnold; Philip S. Yu (IEEE BigData, 2021)

Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. - Ziwei Fan 001; Zhiwei Liu 001; Shen Wang 005; Lei Zheng 001; Philip S. Yu (CIKM, 2021)

Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion. - Shen Wang 005; Xiaokai Wei; Cícero Nogueira dos Santos; Zhiguo Wang; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang; Philip S. Yu; Isabel F. Cruz (WWW, 2021)

Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey. - Xiaokai Wei; Shen Wang 005; Dejiao Zhang; Parminder Bhatia; Andrew O. Arnold (CoRR, 2021)

Towards Robust Graph Neural Networks via Adversarial Contrastive Learning. - Shen Wang 005; Zhengzhang Chen; Jingchao Ni; Haifeng Chen; Philip S. Yu (IEEE Big Data, 2022)

MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. - Shen Wang 005; Liangwei Yang; Jibing Gong; Shaojie Zheng; Shuying Du; Zhiwei Liu 001; Philip S. Yu (IEEE Big Data, 2022)

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. - Danilo Neves Ribeiro; Shen Wang 005; Xiaofei Ma 001; Rui Dong; Xiaokai Wei; Henghui Zhu; Xinchi Chen; Peng Xu; Zhiheng Huang; Andrew O. Arnold; Dan Roth 001 (NAACL-HLT (Findings), 2022)

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. - Danilo Neves Ribeiro; Shen Wang 005; Xiaofei Ma 001; Rui Dong; Xiaokai Wei; Henry Zhu; Xinchi Chen; Zhiheng Huang; Peng Xu; Andrew O. Arnold; Dan Roth 001 (CoRR, 2022)

Debiasing Neural Retrieval via In-batch Balancing Regularization. - Yuantong Li; Xiaokai Wei; Zijian Wang 002; Shen Wang 005; Parminder Bhatia; Xiaofei Ma 001; Andrew O. Arnold (CoRR, 2022)

Automatic Table Union Search with Tabular Representation Learning. - Xuming Hu; Shen Wang 005; Xiao Qin 003; Chuan Lei; Zhengyuan Shen; Christos Faloutsos; Asterios Katsifodimos; George Karypis; Lijie Wen 001; Philip S. Yu (ACL (Findings), 2023)

TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network. - Shen Wang 005; Ziwei Fan 001; Jibing Gong; Xiaokai Wei; Philip S. Yu (IEEE Big Data, 2023)

NameGuess: Column Name Expansion for Tabular Data. - Jiani Zhang 003; Zhengyuan Shen; Balasubramaniam Srinivasan; Shen Wang 005; Huzefa Rangwala; George Karypis (EMNLP, 2023)

IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items. - Shen Wang 005; Ziwei Fan 001; Jibing Gong; Xiaokai Wei; Philip S. Yu (ICDM (Workshops), 2023)

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. - Danilo Neves Ribeiro; Shen Wang 005; Xiaofei Ma 001; Henghui Zhu; Rui Dong; Deguang Kong; Juliette Burger; Anjelica Ramos; Zhiheng Huang; William Yang Wang; George Karypis; Bing Xiang; et al. (ICLR, 2023)

Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. - Costas Mavromatis; Vassilis N. Ioannidis; Shen Wang 005; Da Zheng; Soji Adeshina; Jun Ma 029; Han Zhao 002; Christos Faloutsos; George Karypis (ECML/PKDD (3), 2023)

OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization. - Hengrui Zhang; Shen Wang 005; Vassilis N. Ioannidis; Soji Adeshina; Jiani Zhang 003; Xiao Qin 003; Christos Faloutsos; Da Zheng; George Karypis; Philip S. Yu (CoRR, 2023)

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. - Danilo Neves Ribeiro; Shen Wang 005; Xiaofei Ma 001; Henry Zhu; Rui Dong; Deguang Kong; Juliette Burger; Anjelica Ramos; William Yang Wang; Zhiheng Huang; George Karypis; Bing Xiang; et al. (CoRR, 2023)

Revisit Orthogonality in Graph-Regularized MLPs. - Hengrui Zhang; Shen Wang 005; Vassilis N. Ioannidis; Soji Adeshina; Jiani Zhang 003; Xiao Qin 003; Christos Faloutsos; Da Zheng; George Karypis; Philip S. Yu (CIKM, 2024)

Large Language Models for Education: A Survey and Outlook. - Shen Wang 005; Tianlong Xu; Hang Li 007; Chaoli Zhang 001; Joleen Liang; Jiliang Tang; Philip S. Yu; Qingsong Wen (CoRR, 2024)

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection. - Yibo Yan; Shen Wang 005; Jiahao Huo; Hang Li 007; Boyan Li; Jiamin Su; Xiong Gao; Yifan Zhang 004; Tianlong Xu; Zhendong Chu; Aoxiao Zhong; Kun Wang 042; et al. (CoRR, 2024)

A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges. - Yibo Yan; Jiamin Su; Jianxiang He; Fangteng Fu; Xu Zheng 002; Yuanhuiyi Lyu; Kun Wang 042; Shen Wang 005; Qingsong Wen; Xuming Hu (CoRR, 2024)

AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction. - Tianlong Xu; Yifan Zhang 004; Zhendong Chu; Shen Wang 005; Qingsong Wen (AAAI, 2025)

A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges. - Yibo Yan; Jiamin Su; Jianxiang He; Fangteng Fu; Xu Zheng 002; Yuanhuiyi Lyu; Kun Wang 056; Shen Wang 005; Qingsong Wen; Xuming Hu (ACL (Findings), 2025)

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning. - Yibo Yan; Shen Wang 005; Jiahao Huo; Jingheng Ye; Zhendong Chu; Xuming Hu; Philip S. Yu; Carla P. Gomes; Bart Selman; Qingsong Wen (CoRR, 2025)

Position: LLMs Can be Good Tutors in Foreign Language Education. - Jingheng Ye; Shen Wang 005; Deqing Zou; Yibo Yan; Kun Wang 042; Hai-Tao Zheng 002; Zenglin Xu; Irwin King; Philip S. Yu; Qingsong Wen (CoRR, 2025)

Corrections Meet Explanations: A Unified Framework for Explainable Grammatical Error Correction. - Jingheng Ye; Shang Qin; Yinghui Li; Hai-Tao Zheng 002; Shen Wang 005; Qingsong Wen (CoRR, 2025)

LLM Agents for Education: Advances and Applications. - Zhendong Chu; Shen Wang 005; Jian Xie; Tinghui Zhu; Yibo Yan; Jinheng Ye; Aoxiao Zhong; Xuming Hu; Jing Liang 008; Philip S. Yu; Qingsong Wen (CoRR, 2025)

MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection. - Yibo Yan; Shen Wang 005; Jiahao Huo; Philip S. Yu; Xuming Hu; Qingsong Wen (CoRR, 2025)

UniEDU: A Unified Language and Vision Assistant for Education Applications. - Zhendong Chu; Jian Xie; Shen Wang 005; Zichao Wang 001; Qingsong Wen (CoRR, 2025)