Zhou, Sheng

25 publications

AAAI 2025 Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution Shengjia Zhang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang

IJCAI 2025 Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis Zhihao Wu, Jielong Lu, Jiajun Yu, Sheng Zhou, Yueyang Pi, Haishuai Wang

CVPR 2025 EgoTextVQA: Towards Egocentric Scene-Text Aware Video Question Answering Sheng Zhou, Junbin Xiao, Qingyun Li, Yicong Li, Xun Yang, Dan Guo, Meng Wang, Tat-Seng Chua, Angela Yao

IJCAI 2025 M4Bench: A Benchmark of Multi-Domain Multi-Granularity Multi-Image Understanding for Multi-Modal Large Language Models Xiaojun Ye, Guanbao Liang, Chun Wang, Liangcheng Li, Pengfei Ke, Rui Wang, Bingxin Jia, Gang Huang, Qiao Sun, Sheng Zhou

CVPR 2025 MP-GUI: Modality Perception with MLLMs for GUI Understanding Ziwei Wang, Weizhi Chen, Leyang Yang, Sheng Zhou, Shengchu Zhao, Hanbei Zhan, Jiongchao Jin, Liangcheng Li, Zirui Shao, Jiajun Bu

NeurIPS 2025 Making Classic GNNs Strong Baselines Across Varying Homophily: A Smoothness–Generalization Perspective Ming Gu, Zhuonan Zheng, Sheng Zhou, Meihan Liu, Jiawei Chen, Qiaoyu Tan, Liangcheng Li, Jiajun Bu

ICML 2025 Towards a Unified Framework of Clustering-Based Anomaly Detection Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu

NeurIPS 2025 Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix Zhuonan Zheng, Yuanchen Bei, Zhiyao Zhou, Sheng Zhou, Yao Ma, Ming Gu, Hongjia Xu, Jiawei Chen, Jiajun Bu

AAAI 2024 Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck

NeurIPS 2024 GC-Bench: An Open and Unified Benchmark for Graph Condensation Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu

NeurIPS 2024 NoisyGL: A Comprehensive Benchmark for Graph Neural Networks Under Label Noise Zhonghao Wang, Danyu Sun, Sheng Zhou, Haobo Wang, Jiapei Fan, Longtao Huang, Jiajun Bu

ECCVW 2024 Optimization of Layer Skipping and Frequency Scaling for Convolutional Neural Networks Under Latency Constraint Minh David Thao Chan, Ruoyu Zhao, Yukuan Jia, Ruiqing Mao, Sheng Zhou

NeurIPS 2024 PSL: Rethinking and Improving SoftMax Loss from Pairwise Perspective for Recommendation Weiqin Yang, Jiawei Chen, Xin Xin, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang

AAAI 2024 Rethinking Propagation for Unsupervised Graph Domain Adaptation Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou, Xin Wang, Jiajun Bu

NeurIPS 2024 Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou

NeurIPSW 2023 Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck

NeurIPS 2023 OpenGSL: A Comprehensive Benchmark for Graph Structure Learning Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang

AAAI 2023 Robust Sequence Networked Submodular Maximization Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen

NeurIPS 2022 Hilbert Distillation for Cross-Dimensionality Networks Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu

ECCV 2022 Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition Ning Ma, Hongyi Zhang, Xuhui Li, Sheng Zhou, Zhen Zhang, Jun Wen, Haifeng Li, Jingjun Gu, Jiajun Bu

IJCAI 2022 RMGN: A Regional Mask Guided Network for Parser-Free Virtual Try-on Chao Lin, Zhao Li, Sheng Zhou, Shichang Hu, Jialun Zhang, Linhao Luo, Jiarun Zhang, Longtao Huang, Yuan He

ICCV 2021 Distilling Holistic Knowledge with Graph Neural Networks Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu

AAAI 2020 DGE: Deep Generative Network Embedding Based on Commonality and Individuality Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang

AAAI 2020 Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen

IJCAI 2018 ANRL: Attributed Network Representation Learning via Deep Neural Networks Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang