Zhou, Shuigeng

40 publications

CVPR 2025 A Focused Human Body Model for Accurate Anthropometric Measurements Extraction Shuhang Chen, Xianliang Huang, Zhizhou Zhong, Juhong Guan, Shuigeng Zhou

CVPR 2025 Data Synthesis with Diverse Styles for Face Recognition via 3DMM-Guided Diffusion Yuxi Mi, Zhizhou Zhong, Yuge Huang, Qiuyang Yuan, Xuan Zhao, Jianqing Xu, Shouhong Ding, Shaoming Wang, Rizen Guo, Shuigeng Zhou

CVPR 2025 Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Space Yi Liu, Wengen Li, Jihong Guan, Shuigeng Zhou, Yichao Zhang

IJCAI 2025 Efficient Constraint-Based Window Causal Graph Discovery in Time Series with Multiple Time Lags Yewei Xia, Yixin Ren, Hong Cheng, Hao Zhang, Jihong Guan, Minchuan Xu, Shuigeng Zhou

IJCAI 2025 Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise Yewei Xia, Xueliang Cui, Hao Zhang, Yixin Ren, Feng Xie, Jihong Guan, Ruxin Wang, Shuigeng Zhou

IJCAI 2025 Imagination-Limited Q-Learning for Offline Reinforcement Learning Wenhui Liu, Zhijian Wu, Jingchao Wang, Dingjiang Huang, Shuigeng Zhou

NeurIPS 2025 Predictable Scale (Part II) --- Farseer: A Refined Scaling Law in LLMs Houyi Li, Wenzhen Zheng, Qiufeng Wang, Zhenyu Ding, Haoying Wang, Zili Wang, Shijie Xuyang, Ning Ding, Shuigeng Zhou, Xiangyu Zhang, Daxin Jiang

AAAI 2025 SlerpFace: Face Template Protection via Spherical Linear Interpolation Zhizhou Zhong, Yuxi Mi, Yuge Huang, Jianqing Xu, Guodong Mu, Shouhong Ding, Jingyun Zhang, Rizen Guo, Yunsheng Wu, Shuigeng Zhou

ICLR 2025 UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition Xiao Lin, Yuge Huang, Jianqing Xu, Yuxi Mi, Shuigeng Zhou, Shouhong Ding

NeurIPS 2024 Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou

AISTATS 2024 Learning Adaptive Kernels for Statistical Independence Tests Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou

CVPR 2024 Privacy-Preserving Face Recognition Using Trainable Feature Subtraction Yuxi Mi, Zhizhou Zhong, Yuge Huang, Jiazhen Ji, Jianqing Xu, Jun Wang, Shaoming Wang, Shouhong Ding, Shuigeng Zhou

CVPRW 2024 Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Zhizhou Zhong, Yuge Huang, Yuxi Mi, Shouhong Ding, Shuigeng Zhou, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Zhihong Xiao, Evgeny Smirnov, Anton Pimenov, Aleksei Grigorev, Denis Timoshenko, Kaleb Mesfin Asfaw, Cheng-Yaw Low, Hao Liu, Chuyi Wang, Qing Zuo, Zhixiang He, Hatef Otroshi-Shahreza, Anjith George, Alexander Unnervik, Parsa Rahimi, Sébastien Marcel, Pedro C. Neto, Marco Huber, Jan Niklas Kolf, Naser Damer, Fadi Boutros, Jaime S. Cardoso, Ana Filipa Sequeira, Andrea Atzori, Gianni Fenu, Mirko Marras, Vitomir Struc, Jiang Yu, Zhangjie Li, Jichun Li, Weisong Zhao, Zhen Lei, Xiangyu Zhu, Xiaoyu Zhang, Bernardo Biesseck, Pedro Vidal, Luiz Coelho, Roger Granada, David Menotti

AAAI 2024 Weakly Supervised Few-Shot Object Detection with DETR Chenbo Zhang, Yinglu Zhang, Lu Zhang, Jiajia Zhao, Jihong Guan, Shuigeng Zhou

AAAI 2023 Differentially Private Nonlinear Causal Discovery from Numerical Data Hao Zhang, Yewei Xia, Yixin Ren, Jihong Guan, Shuigeng Zhou

AAAI 2023 DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Lanqing Li, Long-Kai Huang, Tingyang Xu, Yu Rong, Jie Ren, Ding Xue, Houtim Lai, Wei Liu, Junzhou Huang, Shuigeng Zhou, Ping Luo, Peilin Zhao, Yatao Bian

ICCV 2023 Meta-ZSDETR: Zero-Shot DETR with Meta-Learning Lu Zhang, Chenbo Zhang, Jiajia Zhao, Jihong Guan, Shuigeng Zhou

AAAI 2023 Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance Yixin Ren, Hao Zhang, Yewei Xia, Jihong Guan, Shuigeng Zhou

ICCV 2023 Privacy-Preserving Face Recognition Using Random Frequency Components Yuxi Mi, Yuge Huang, Jiazhen Ji, Minyi Zhao, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, Shuigeng Zhou

IJCAI 2022 C3-STISR: Scene Text Image Super-Resolution with Triple Clues Minyi Zhao, Miao Wang, Fan Bai, Bingjia Li, Jie Wang, Shuigeng Zhou

AAAI 2022 Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan

WACV 2022 Robustly Recognizing Irregular Scene Text by Rectifying Principle Irregularities Changsheng Xu, Yang Wang, Fan Bai, Jihong Guan, Shuigeng Zhou

NeurIPS 2022 Towards Video Text Visual Question Answering: Benchmark and Baseline Minyi Zhao, Bingjia Li, Jie Wang, Wanqing Li, Wenjing Zhou, Lan Zhang, Shijie Xuyang, Zhihang Yu, Xinkun Yu, Guangze Li, Aobotao Dai, Shuigeng Zhou

CVPR 2021 Accurate Few-Shot Object Detection with Support-Query Mutual Guidance and Hybrid Loss Lu Zhang, Shuigeng Zhou, Jihong Guan, Ji Zhang

CVPRW 2021 Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information Yi Xu, Minyi Zhao, Jing Liu, Xinjian Zhang, Longwen Gao, Shuigeng Zhou, Huyang Sun

NeurIPS 2021 DP-SSL: Towards Robust Semi-Supervised Learning with a Few Labeled Samples Yi Xu, Jiandong Ding, Lu Zhang, Shuigeng Zhou

AAAI 2021 GIF Thumbnails: Attract More Clicks to Your Videos Yi Xu, Fan Bai, Yingxuan Shi, Qiuyu Chen, Longwen Gao, Kai Tian, Shuigeng Zhou, Huyang Sun

AAAI 2021 Testing Independence Between Linear Combinations for Causal Discovery Hao Zhang, Kun Zhang, Shuigeng Zhou, Jihong Guan, Ji Zhang

AAAI 2020 Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance Kai Tian, Yi Xu, Jihong Guan, Shuigeng Zhou

AAAI 2019 Learning Competitive and Discriminative Reconstructions for Anomaly Detection Kai Tian, Shuigeng Zhou, Jianping Fan, Jihong Guan

AAAI 2019 Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang

AAAI 2018 Measuring Conditional Independence by Independent Residuals: Theoretical Results and Application in Causal Discovery Hao Zhang, Shuigeng Zhou, Jihong Guan

AAAI 2017 Causal Discovery Using Regression-Based Conditional Independence Tests Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan

ECML-PKDD 2017 DeepCluster: A General Clustering Framework Based on Deep Learning Kai Tian, Shuigeng Zhou, Jihong Guan

ICCV 2017 Focusing Attention: Towards Accurate Text Recognition in Natural Images Zhanzhan Cheng, Fan Bai, Yunlu Xu, Gang Zheng, Shiliang Pu, Shuigeng Zhou

AAAI 2016 Group and Graph Joint Sparsity for Linked Data Classification Longwen Gao, Shuigeng Zhou

AAAI 2015 Learning Sparse Representations from Datasets with Uncertain Group Structures: Model, Algorithm and Applications Longwen Gao, Shuigeng Zhou

IJCAI 2015 Semi-Universal Portfolios with Transaction Costs Dingjiang Huang, Yan Zhu, Bin Li, Shuigeng Zhou, Steven C. H. Hoi

AAAI 2014 Towards Topological-Transformation Robust Shape Comparison: A Sparse Representation Based Manifold Embedding Approach Longwen Gao, Shuigeng Zhou

IJCAI 2013 Robust Median Reversion Strategy for On-Line Portfolio Selection Dingjiang Huang, Junlong Zhou, Bin Li, Steven C. H. Hoi, Shuigeng Zhou