Zheng, Shuai

30 publications

AAAI 2025 A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft Yu Chen, Shuai Zheng, Nianyi Wang, Menglong Jin, Yan Chang

NeurIPS 2025 Towards Pre-Trained Graph Condensation via Optimal Transport Yeyu Yan, Shuai Zheng, Wenjun Hui, Xiangkai Zhu, Dong Chen, Zhenfeng Zhu, Yao Zhao, Kunlun He

CVPR 2024 Endow SAM with Keen Eyes: Temporal-Spatial Prompt Learning for Video Camouflaged Object Detection Wenjun Hui, Zhenfeng Zhu, Shuai Zheng, Yao Zhao

CVPR 2023 Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation with Cross-Scale Distortion Awareness Zhijie Shen, Zishuo Zheng, Chunyu Lin, Lang Nie, Kang Liao, Shuai Zheng, Yao Zhao

NeurIPS 2023 Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alexander J Smola, Xu Sun

NeurIPS 2023 VCC: Scaling Transformers to 128k Tokens or More by Prioritizing Important Tokens Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng

ICML 2022 Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex J Smola, Zhangyang Wang

ICML 2022 Removing Batch Normalization Boosts Adversarial Training Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang

NeurIPS 2020 CSER: Communication-Efficient SGD with Error Reset Cong Xie, Shuai Zheng, Sanmi Koyejo, Indranil Gupta, Mu Li, Haibin Lin

CVPR 2020 Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning Shuai Zheng, Zhenfeng Zhu, Xingxing Zhang, Zhizhe Liu, Jian Cheng, Yao Zhao

JMLR 2020 GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng, Yi Zhu

NeurIPS 2019 Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback Shuai Zheng, Ziyue Huang, James Kwok

ECML-PKDD 2019 Generative Adversarial Networks for Failure Prediction Shuai Zheng, Ahmed K. Farahat, Chetan Gupta

WACV 2019 Give Me a Hint! Navigating Image Databases Using Human-in-the-Loop Feedback Bryan A. Plummer, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu

ECML-PKDD 2019 Manufacturing Dispatching Using Reinforcement and Transfer Learning Shuai Zheng, Chetan Gupta, Susumu Serita

ECCV 2018 Conditional Image-Text Embedding Networks Bryan A. Plummer, Paige Kordas, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu, Svetlana Lazebnik

CVPR 2018 Fast End-to-End Trainable Guided Filter Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang

ICML 2018 Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data Shuai Zheng, James Tin-Yau Kwok

ICML 2017 Follow the Moving Leader in Deep Learning Shuai Zheng, James T. Kwok

AAAI 2016 Asynchronous Distributed Semi-Stochastic Gradient Optimization Ruiliang Zhang, Shuai Zheng, James T. Kwok

AAAI 2016 Fast Nonsmooth Regularized Risk Minimization with Continuation Shuai Zheng, Ruiliang Zhang, James T. Kwok

IJCAI 2016 Fast-and-Light Stochastic ADMM Shuai Zheng, James T. Kwok

ECCV 2016 Higher Order Conditional Random Fields in Deep Neural Networks Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr

AAAI 2015 A Closed Form Solution to Multi-View Low-Rank Regression Shuai Zheng, Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang

ICCV 2015 Conditional Random Fields as Recurrent Neural Networks Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr

AAAI 2014 Accurate Integration of Aerosol Predictions by Smoothing on a Manifold Shuai Zheng, James T. Kwok

CVPR 2014 Dense Semantic Image Segmentation with Objects and Attributes Shuai Zheng, Ming-Ming Cheng, Jonathan Warrell, Paul Sturgess, Vibhav Vineet, Carsten Rother, Philip H. S. Torr

ECML-PKDD 2014 Kernel Alignment Inspired Linear Discriminant Analysis Shuai Zheng, Chris H. Q. Ding

ICCV 2013 Efficient Salient Region Detection with Soft Image Abstraction Ming-Ming Cheng, Jonathan Warrell, Wen-Yan Lin, Shuai Zheng, Vibhav Vineet, Nigel Crook

ICCV 2013 Robust Non-Parametric Data Fitting for Correspondence Modeling Wen-Yan Lin, Ming-Ming Cheng, Shuai Zheng, Jiangbo Lu, Nigel Crook