Wang, Shen

11 publications

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

ICLRW 2025 ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models via Error Detection 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

CVPR 2025 Linear Attention Modeling for Learned Image Compression Donghui Feng, Zhengxue Cheng, Shen Wang, Ronghua Wu, Hongwei Hu, Guo Lu, Li Song

TMLR 2025 TempFlex: Advancing MLLMs with Temporal Perception and Natively Scalable Resolution Encoding Zhanyu Wang, Chen Tang, Haoyu He, Kuan Feng, Chao Wang, Bingni Zhang, Xiaolei Xu, Shen Wang, Luping Zhou

ICLR 2024 Neural Rate Control for Learned Video Compression Yiwei Zhang, Guo Lu, Yunuo Chen, Shen Wang, Yibo Shi, Jing Wang, Li Song

ICLR 2023 Street: A Multi-Task Structured Reasoning and Explanation Benchmark 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

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

NeurIPS 2020 Transferable Graph Optimizers for ML Compilers Yanqi Zhou, Sudip Roy, Amirali Abdolrashidi, Daniel Wong, Peter Ma, Qiumin Xu, Hanxiao Liu, Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon

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

ICML 2017 Kernelized Support Tensor Machines Lifang He, Chun-Ta Lu, Guixiang Ma, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin

CVPR 2017 Multi-Way Multi-Level Kernel Modeling for Neuroimaging Classification Lifang He, Chun-Ta Lu, Hao Ding, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin