Shen Wang

58 papers A* 10A 3B 4Journal 28Unranked 13
YearRankTypeTitle / Venue / Authors
2025 — conf
A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges.
ACL (Findings)
Yibo Yan, Jiamin Su, Jianxiang He, Fangteng Fu, Xu Zheng, Yuanhuiyi Lyu, Kun Wang, Shen Wang, Qingsong Wen, Xuming Hu
2025 A* conf
AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction.
AAAI
Tianlong Xu, Yifan Zhang, Zhendong Chu, Shen Wang, Qingsong Wen
2025 J jnl
Corrections Meet Explanations: A Unified Framework for Explainable Grammatical Error Correction.
CoRR
Jingheng Ye, Shang Qin, Yinghui Li, Hai-Tao Zheng, Shen Wang, Qingsong Wen
2025 J jnl
FEANEL: A Benchmark for Fine-Grained Error Analysis in K-12 English Writing.
CoRR
Jingheng Ye, Shen Wang, Jiaqi Chen, Hebin Wang, Deqing Zou, Yanyu Zhu, Jiwei Tang, Hai-Tao Zheng, Ruitong Liu, Haoyang Li, Yanfeng Wang, Qingsong Wen
2025 — conf
LLM Agents for Education: Advances and Applications.
EMNLP (Findings)
Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jingheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen
2025 J jnl
LLM Agents for Education: Advances and Applications.
CoRR
Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jinheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen
2025 J jnl
Large Language Models for Education: A survey and outlook.
IEEE Signal Process. Mag.
Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen
2025 — conf
MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection.
ACL (6)
Yibo Yan, Shen Wang, Jiahao Huo, Philip S. Yu, Xuming Hu, Qingsong Wen
2025 J jnl
MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection.
CoRR
Yibo Yan, Shen Wang, Jiahao Huo, Philip S. Yu, Xuming Hu, Qingsong Wen
2025 A* conf
Position: LLMs Can be Good Tutors in English Education.
EMNLP
Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Ruitong Liu, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen
2025 J jnl
Position: LLMs Can be Good Tutors in Foreign Language Education.
CoRR
Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen
2025 J jnl
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning.
CoRR
Yibo Yan, Shen Wang, Jiahao Huo, Jingheng Ye, Zhendong Chu, Xuming Hu, Philip S. Yu, Carla P. Gomes, Bart Selman, Qingsong Wen
2025 J jnl
UniEDU: A Unified Language and Vision Assistant for Education Applications.
CoRR
Zhendong Chu, Jian Xie, Shen Wang, Zichao Wang, Qingsong Wen
2025 — conf
UniEDU: Toward Unified and Efficient Large Multimodal Models for Educational Tasks.
EMNLP (Industry Track)
Zhendong Chu, Jian Xie, Shen Wang, Zichao Wang, Qingsong Wen
2024 J jnl
A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges.
CoRR
Yibo Yan, Jiamin Su, Jianxiang He, Fangteng Fu, Xu Zheng, Yuanhuiyi Lyu, Kun Wang, Shen Wang, Qingsong Wen, Xuming Hu
2024 J jnl
AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction.
CoRR
Tianlong Xu, Yifan Zhang, Zhendong Chu, Shen Wang, Qingsong Wen
2024 J jnl
ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection.
CoRR
Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, Yifan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen
2024 J jnl
Large Language Models for Education: A Survey and Outlook.
CoRR
Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen
2024 A conf
Revisit Orthogonality in Graph-Regularized MLPs.
CIKM
Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu
2023 — conf
Automatic Table Union Search with Tabular Representation Learning.
ACL (Findings)
Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos, Asterios Katsifodimos, George Karypis, Lijie Wen, Philip S. Yu
2023 — conf
IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items.
ICDM (Workshops)
Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu
2023 A* conf
NameGuess: Column Name Expansion for Tabular Data.
EMNLP
Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Shen Wang, Huzefa Rangwala, George Karypis
2023 J jnl
NameGuess: Column Name Expansion for Tabular Data.
CoRR
Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Shen Wang, Huzefa Rangwala, George Karypis
2023 J jnl
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization.
CoRR
Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu
2023 A* conf
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark.
ICLR
Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henghui Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, Zhiheng Huang, William Yang Wang, George Karypis, Bing Xiang, Dan Roth
2023 J jnl
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark.
CoRR
Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henry Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, William Yang Wang, Zhiheng Huang, George Karypis, Bing Xiang, Dan Roth
2023 B conf
TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network.
IEEE Big Data
Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu
2023 — conf
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs.
ECML/PKDD (3)
Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis
2023 J jnl
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs.
CoRR
Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis
2022 J jnl
Debiasing Neural Retrieval via In-batch Balancing Regularization.
CoRR
Yuantong Li, Xiaokai Wei, Zijian Wang, Shen Wang, Parminder Bhatia, Xiaofei Ma, Andrew O. Arnold
2022 — conf
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner.
NAACL-HLT (Findings)
Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henghui Zhu, Xinchi Chen, Peng Xu, Zhiheng Huang, Andrew O. Arnold, Dan Roth
2022 J jnl
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner.
CoRR
Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henry Zhu, Xinchi Chen, Zhiheng Huang, Peng Xu, Andrew O. Arnold, Dan Roth
2022 B conf
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System.
IEEE Big Data
Shen Wang, Liangwei Yang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu
2022 J jnl
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System.
CoRR
Liangwei Yang, Shen Wang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu
2022 B conf
Towards Robust Graph Neural Networks via Adversarial Contrastive Learning.
IEEE Big Data
Shen Wang, Zhengzhang Chen, Jingchao Ni, Haifeng Chen, Philip S. Yu
2021 J jnl
Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey.
CoRR
Xiaokai Wei, Shen Wang, Dejiao Zhang, Parminder Bhatia, Andrew O. Arnold
2021 — conf
Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding.
IEEE BigData
Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Philip S. Yu
2021 A* conf
Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion.
WWW
Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, Isabel F. Cruz
2021 A conf
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation.
CIKM
Ziwei Fan, Zhiwei Liu, Shen Wang, Lei Zheng, Philip S. Yu
2021 J jnl
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation.
CoRR
Ziwei Fan, Zhiwei Liu, Lei Zheng, Shen Wang, Philip S. Yu
2020 A* conf
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View.
SIGIR
Jibing Gong, Shen Wang, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu
2020 J jnl
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View.
CoRR
Shen Wang, Jibing Gong, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu
2020 J jnl
Generative temporal link prediction via self-tokenized sequence modeling.
World Wide Web
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu
2020 — conf
H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network.
EMNLP (1)
Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu
2019 J jnl
Adversarial Defense Framework for Graph Neural Network.
CoRR
Shen Wang, Zhengzhang Chen, Jingchao Ni, Xiao Yu, Zhichun Li, Haifeng Chen, Philip S. Yu
2019 A conf
Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification.
SDM
Shen Wang, Zhengzhang Chen, Ding Li, Zhichun Li, Lu-An Tang, Jingchao Ni, Junghwan Rhee, Haifeng Chen, Philip S. Yu
2019 J jnl
Generative Temporal Link Prediction via Self-tokenized Sequence Modeling.
CoRR
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu
2019 A* conf
Heterogeneous Graph Matching Networks for Unknown Malware Detection.
IJCAI
Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu
2019 J jnl
Heterogeneous Graph Matching Networks.
CoRR
Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu
2019 — conf
Heterogeneous Graph Matching Networks: Application to Unknown Malware Detection.
IEEE BigData
Shen Wang, Philip S. Yu
2018 — conf
Deep Co-Investment Network Learning for Financial Assets.
ICBK
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
2018 J jnl
Deep Co-investment Network Learning for Financial Assets.
CoRR
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
2018 J jnl
Deep Program Reidentification: A Graph Neural Network Solution.
CoRR
Shen Wang, Zhengzhang Chen, Ding Li, Lu-An Tang, Jingchao Ni, Zhichun Li, Junghwan Rhee, Haifeng Chen, Philip S. Yu
2018 — conf
Market Abnormality Period Detection via Co-movement Attention Model.
IEEE BigData
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
2017 A* conf
Kernelized Support Tensor Machines.
ICML
Lifang He, Chun-Ta Lu, Guixiang Ma, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin
2017 A* conf
Multi-way Multi-level Kernel Modeling for Neuroimaging Classification.
CVPR
Lifang He, Chun-Ta Lu, Hao Ding, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin
2017 A* conf
Structural Deep Brain Network Mining.
KDD
Shen Wang, Lifang He, Bokai Cao, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
2016 B conf
Deep eye fixation map learning for calibration-free eye gaze tracking.
ETRA
Kang Wang, Shen Wang, Qiang Ji