Image Completion for Overlapping Chromosomes. - Xiuzhuang Zhou; Yao Lu 001; Ziye Yan (PACIIA (1), 2008)

Efficient Mean Shift Particle Filter for Sperm Cells Tracking. - Xiuzhuang Zhou; Yao Lu (CIS (1), 2009)

Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling. - Xiuzhuang Zhou; Yao Lu (CVPR, 2010)

Polygonal approximation of digital curves using adaptive MCMC sampling. - Xiuzhuang Zhou; Yao Lu (ICIP, 2010)

Efficient Polygonal Approximation of Digital Curves via Monte Carlo Optimization. - Xiuzhuang Zhou; Yao Lu (ICPR, 2010)

Kinship verification from facial images under uncontrolled conditions. - Xiuzhuang Zhou; Junlin Hu 001; Jiwen Lu; Yuanyuan Shang; Yong Guan (ACM Multimedia, 2011)

Neighborhood repulsed metric learning for kinship verification. - Jiwen Lu; Junlin Hu 001; Xiuzhuang Zhou; Yuanyuan Shang; Yap-Peng Tan; Gang Wang 012 (CVPR, 2012)

Activity-based person identification using sparse coding and discriminative metric learning. - Jiwen Lu; Junlin Hu 001; Xiuzhuang Zhou; Yuanyuan Shang (ACM Multimedia, 2012)

Gabor-based gradient orientation pyramid for kinship verification under uncontrolled environments. - Xiuzhuang Zhou; Jiwen Lu; Junlin Hu 001; Yuanyuan Shang (ACM Multimedia, 2012)

Cost-Sensitive Semi-Supervised Discriminant Analysis for Face Recognition. - Jiwen Lu; Xiuzhuang Zhou; Yap-Peng Tan; Yuanyuan Shang; Jie Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2012)

Abrupt Motion Tracking Via Intensively Adaptive Markov-Chain Monte Carlo Sampling. - Xiuzhuang Zhou; Yao Lu; Jiwen Lu; Jie Zhou 001 (IEEE Trans. Image Process., 2012)

Polygonal Approximation of Digital Planar Curves via Hybrid Monte Carlo Optimization. - Xiuzhuang Zhou; Yuanyuan Shang; Jiwen Lu (IEEE Signal Process. Lett., 2013)

Diagonal Interacting Multiple Model H ∞ Filtering for Simultaneuos Sensor Localization and Target Tracking with NLOS Mitigation. - Xiaoyan Fu; Yuanyuan Shang; Hui Ding; Xiuzhuang Zhou (ECC (1), 2014)

Activity-Based Person Identification Using Discriminative Sparse Projections and Orthogonal Ensemble Metric Learning. - Haibin Yan; Jiwen Lu; Xiuzhuang Zhou (ECCV Workshops (2), 2014)

Kinship verification in the wild: The first kinship verification competition. - Jiwen Lu; Junlin Hu 001; Xiuzhuang Zhou; Jie Zhou 001; Modesto Castrillón Santana; Javier Lorenzo-Navarro; Lu Kou; Yuanyuan Shang; Andrea Bottino; Tiago Figueiredo Vieira (IJCB, 2014)

Similarity learning for template-based visual tracking. - Xiuzhuang Zhou; Lu Kou; Hui Ding; Xiaoyan Fu; Yuanyuan Shang (ICME Workshops, 2014)

Multi-feature multi-manifold learning for single-sample face recognition. - Haibin Yan; Jiwen Lu; Xiuzhuang Zhou; Yuanyuan Shang (Neurocomputing, 2014)

Neighborhood Repulsed Metric Learning for Kinship Verification. - Jiwen Lu; Xiuzhuang Zhou; Yap-Peng Tan; Yuanyuan Shang; Jie Zhou 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Equidistant prototypes embedding for single sample based face recognition with generic learning and incremental learning. - Weihong Deng; Jiani Hu; Xiuzhuang Zhou; Jun Guo 002 (Pattern Recognit., 2014)

Discriminative Multimetric Learning for Kinship Verification. - Haibin Yan; Jiwen Lu; Weihong Deng; Xiuzhuang Zhou (IEEE Trans. Inf. Forensics Secur., 2014)

The FG 2015 Kinship Verification in the Wild Evaluation. - Jiwen Lu; Junlin Hu 001; Venice Erin Liong; Xiuzhuang Zhou; Andrea Bottino; Ihtesham Ul Islam; Tiago Figueiredo Vieira; Xiaoqian Qin; Xiaoyang Tan; Songcan Chen; Shahar Mahpod; Yosi Keller; et al. (FG, 2015)

Discriminative transfer learning for single-sample face recognition. - Junlin Hu 001; Jiwen Lu; Xiuzhuang Zhou; Yap-Peng Tan (ICB, 2015)

Neighborhood repulsed correlation metric learning for kinship verification. - Haibin Yan; Xiuzhuang Zhou; Yongxin Ge (VCIP, 2015)

Learning Compact Binary Face Descriptor for Face Recognition. - Jiwen Lu; Venice Erin Liong; Xiuzhuang Zhou; Jie Zhou 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Prototype-Based Discriminative Feature Learning for Kinship Verification. - Haibin Yan; Jiwen Lu; Xiuzhuang Zhou (IEEE Trans. Cybern., 2015)

ZigzagNet: Efficient Deep Learning for Real Object Recognition Based on 3D Models. - Yida Wang 001; Can Cui; Xiuzhuang Zhou; Weihong Deng (ACCV (4), 2016)

Efficient Stochastic Approximation Monte Carlo Sampling for Heterogeneous Redundancy Allocation Problem. - Min Xu 003; Xiuzhuang Zhou; Qirun Huo; Haomin Liu (IEEE Access, 2016)

Sky detection by effective context inference. - Yuanyuan Shang; Ge Li; Zhong Luan; Xiuzhuang Zhou; Guodong Guo (Neurocomputing, 2016)

Hybrid generative-discriminative learning for online tracking of sperm cell. - Xiuzhuang Zhou; Lin Ma; Yuanyuan Shang; Min Xu 003; Xiaoyan Fu; Hui Ding (Neurocomputing, 2016)

Kinship verification from facial images by scalable similarity fusion. - Xiuzhuang Zhou; Haibin Yan; Yuanyuan Shang (Neurocomputing, 2016)

Ensemble similarity learning for kinship verification from facial images in the wild. - Xiuzhuang Zhou; Yuanyuan Shang; Haibin Yan; Guodong Guo (Inf. Fusion, 2016)

Deep Transformation Learning for Depression Diagnosis from Facial Images. - Yajun Kang; Xiao Jiang; Ye Yin; Yuanyuan Shang; Xiuzhuang Zhou (CCBR, 2017)

Low-Light Image Enhancement Based on Constrained Norm Estimation. - Tan Zhao; Hui Ding; Yuanyuan Shang; Xiuzhuang Zhou (CCCV (1), 2017)

Fast single image dehazing based on a regression model. - Zhong Luan; Yuanyuan Shang; Xiuzhuang Zhou; Zhuhong Shao; Guodong Guo; Xiaoming Liu 002 (Neurocomputing, 2017)

Learning spatially regularized similarity for robust visual tracking. - Xiuzhuang Zhou; Qirun Huo; Yuanyuan Shang; Min Xu 003; Hui Ding (Image Vis. Comput., 2017)

Consistency-Exclusivity Regularized Deep Metric Learning for General Kinship Verification. - Xiuzhuang Zhou; Zheng Zhang 038; Zeqiang Wei; Kai Jin; Min Xu 003 (ICME, 2018)

Model-Based Proposal Learning for Monte Carlo Optimization of Redundancy Allocation Problem. - Xiuzhuang Zhou; Min Xu 003 (IEEE Access, 2018)

Multiple face tracking and recognition with identity-specific localized metric learning. - Xiuzhuang Zhou; Kai Jin; Qian Chen 033; Min Xu 003; Yuanyuan Shang (Pattern Recognit., 2018)

Learning Deep Spatiotemporal Feature for Engagement Recognition of Online Courses. - Lin Geng; Min Xu 003; Zeqiang Wei; Xiuzhuang Zhou (SSCI, 2019)

Learning deep compact similarity metric for kinship verification from face images. - Xiuzhuang Zhou; Kai Jin; Min Xu 003; Guodong Guo (Inf. Fusion, 2019)

Visually Interpretable Representation Learning for Depression Recognition from Facial Images. - Xiuzhuang Zhou; Kai Jin; Yuanyuan Shang; Guodong Guo (IEEE Trans. Affect. Comput., 2020)

Supervised Contrastive Learning for Facial Kinship Recognition. - Ximiao Zhang; Min Xu 003; Xiuzhuang Zhou; Guodong Guo (FG, 2021)

Energy-Based Supervised Hashing for Multimorbidity Image Retrieval. - Peng Huang; Xiuzhuang Zhou; Zeqiang Wei; Guodong Guo (MICCAI (5), 2021)

SwiniPASSR: Swin Transformer based Parallax Attention Network for Stereo Image Super-Resolution. - Kai Jin; Zeqiang Wei; Angulia Yang; Sha Guo; Mingzhi Gao; Xiuzhuang Zhou; Guodong Guo (CVPR Workshops, 2022)

NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. - Longguang Wang; Yulan Guo; Yingqian Wang 002; Juncheng Li 003; Shuhang Gu; Radu Timofte; Liangyu Chen 002; Xiaojie Chu; Wenqing Yu; Kai Jin; Zeqiang Wei; Sha Guo; et al. (CVPR Workshops, 2022)

LSRML: A latent space regularization based meta-learning framework for MR image segmentation. - Bo Zhang 032; Yunpeng Tan; Hui Wang; Zheng Zhang 038; Xiuzhuang Zhou; Jingyun Wu; Yue Mi; Haiwen Huang; Wendong Wang 003 (Pattern Recognit., 2022)

Joint Adaptation of ICP Proposal and Target Distribution for Probabilistic Surface Registration. - Zeyi Hou; Xiuzhuang Zhou (IEEE Signal Process. Lett., 2022)

Facial Depression Recognition by Deep Joint Label Distribution and Metric Learning. - Xiuzhuang Zhou; Zeqiang Wei; Min Xu 003; Shan Qu; Guodong Guo (IEEE Trans. Affect. Comput., 2022)

DistgEPIT: Enhanced Disparity Learning for Light Field Image Super-Resolution. - Kai Jin; Angulia Yang; Zeqiang Wei; Sha Guo; Mingzhi Gao; Xiuzhuang Zhou (CVPR Workshops, 2023)

NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results. - Yingqian Wang 002; Longguang Wang; Zhengyu Liang; Jungang Yang 001; Radu Timofte; Yulan Guo; Kai Jin; Zeqiang Wei; Angulia Yang; Sha Guo; Mingzhi Gao; Xiuzhuang Zhou; et al. (CVPR Workshops, 2023)

Diversity-Preserving Chest Radiographs Generation from Reports in One Stage. - Zeyi Hou; Ruixin Yan; Qizheng Wang; Ning Lang; Xiuzhuang Zhou (MICCAI (5), 2023)

Weakly Supervised Anomaly Detection for Chest X-Ray Image. - Haoqi Ni; Ximiao Zhang; Min Xu 003; Ning Lang; Xiuzhuang Zhou (CoRR, 2023)

Masked Contrastive Reconstruction for Cross-modal Medical Image-Report Retrieval. - Zeqiang Wei; Kai Jin; Xiuzhuang Zhou (CoRR, 2023)

CEUS-SAM: Cross-Modal Prompt-Based SAM Network for Breast CEUS Image Segmentation. - Xutao Li; Min Xu 003; Ximiao Zhang; Sihua Niu; Jiaan Zhu; Xiuzhuang Zhou (BIBM, 2024)

NTIRE 2024 Challenge on Light Field Image Super-Resolution: Methods and Results. - Yingqian Wang 002; Zhengyu Liang; Qianyu Chen; Longguang Wang; Jungang Yang 001; Radu Timofte; Yulan Guo; Wentao Chao; Yiming Kan; Xuechun Wang; Fuqing Duan; Guanghui Wang 001; et al. (CVPR Workshops, 2024)

RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection. - Ximiao Zhang; Min Xu 003; Xiuzhuang Zhou (CVPR, 2024)

Norma: A Noise Robust Memory-Augmented Framework for Whole Slide Image Classification. - Yu Bai 020; Bo Zhang 032; Zheng Zhang 038; Shuo Yan; Zibo Ma; Wu Liu; Xiuzhuang Zhou; Xiangyang Gong; Wendong Wang 003 (ECCV (51), 2024)

Energy-Based Controllable Radiology Report Generation with Medical Knowledge. - Zeyi Hou; Ruixin Yan; Ziye Yan; Ning Lang; Xiuzhuang Zhou (MICCAI (5), 2024)

MediCLIP: Adapting CLIP for Few-Shot Medical Image Anomaly Detection. - Ximiao Zhang; Min Xu 003; Dehui Qiu; Ruixin Yan; Ning Lang; Xiuzhuang Zhou (MICCAI (11), 2024)

A Disease Labeler for Chinese Chest X-Ray Report Generation. - Mengwei Wang; Ruixin Yan; Zeyi Hou; Ning Lang; Xiuzhuang Zhou (CoRR, 2024)

Conformal Depression Prediction. - Yonghong Li; Shan Qu; Xiuzhuang Zhou (CoRR, 2024)

Multi-label contrastive hashing. - Zeqiang Wei; Kai Jin; Zheng Zhang 038; Xiuzhuang Zhou (Pattern Recognit., 2024)

Confidence-Calibrated Face and Kinship Verification. - Min Xu 003; Ximiao Zhang; Xiuzhuang Zhou (IEEE Trans. Inf. Forensics Secur., 2024)

DepressionMLP: A Multi-Layer Perceptron Architecture for Automatic Depression Level Prediction via Facial Keypoints and Action Units. - Mingyue Niu; Ya Li 001; Jianhua Tao 001; Xiuzhuang Zhou; Björn W. Schuller (IEEE Trans. Circuits Syst. Video Technol., 2024)

A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation. - Zheng Zhang 038; Guanchun Yin; Bo Zhang 032; Wu Liu; Xiuzhuang Zhou; Wendong Wang 003 (CVPR, 2025)

LFTransMamba: A Hybrid Mamba-Transformer Model for Light Field Image Super-Resolution. - Kai Jin; Zeqiang Wei; Angulia Yang; Di Wu; Mingzhi Gao; Xiuzhuang Zhou (CVPR Workshops, 2025)

NTIRE 2025 Challenge on Light Field Image Super-Resolution: Methods and Results. - Yingqian Wang 002; Zhengyu Liang; Fengyuan Zhang; Lvli Tian; Longguang Wang; Juncheng Li 013; Jungang Yang 001; Radu Timofte; Yulan Guo; Kai Jin; Zeqiang Wei; Angulia Yang; et al. (CVPR Workshops, 2025)

WL-GAN: Learning to sample in generative latent space. - Zeyi Hou; Ning Lang; Xiuzhuang Zhou (Inf. Sci., 2025)

Zero-X21: Scale-agnostic image feature conditioned INR for multi-modal and multi-planar anisotropic MRI inter-slice interpolation. - Zibo Ma; Jianfei Huo; Guanchun Yin; Bo Zhang 032; Xiuzhuang Zhou; Zhen Cui; Wendong Wang 003 (Pattern Recognit. Lett., 2025)

$L^{2}$FMamba: Lightweight Light Field Image Super-Resolution With State Space Model. - Zeqiang Wei; Kai Jin; Zeyi Hou; Kuan Song; Xiuzhuang Zhou (IEEE Trans. Computational Imaging, 2025)

Billet Number Recognition Based on Test-Time Adaptation. - Yuan Wei; Xiuzhuang Zhou (CoRR, 2025)

Learning to Calibrate for Reliable Visual Fire Detection. - Ziqi Zhang; Xiuzhuang Zhou; Xiangyang Gong (CoRR, 2025)

L2FMamba: Lightweight Light Field Image Super-Resolution with State Space Model. - Zeqiang Wei; Kai Jin; Zeyi Hou; Kuan Song; Xiuzhuang Zhou (CoRR, 2025)

Fair Uncertainty Quantification for Depression Prediction. - Yonghong Li; Xiuzhuang Zhou (CoRR, 2025)

Semantically Informed Salient Regions Guided Radiology Report Generation. - Zeyi Hou; Zeqiang Wei; Ruixin Yan; Ning Lang; Xiuzhuang Zhou (CoRR, 2025)

SSFMamba: Symmetry-driven Spatial-Frequency Feature Fusion for 3D Medical Image Segmentation. - Bo Zhang 032; Yifan Zhang; Shuo Yan; Yu Bai 020; Zheng Zhang 038; Wu Liu; Xiuzhuang Zhou; Wendong Wang 003 (CoRR, 2025)

JanusNet: Hierarchical Slice-Block Shuffle and Displacement for Semi-Supervised 3D Multi-Organ Segmentation. - Zheng Zhang; Tianzhuzi Tan; Guanchun Yin; Bo Zhang; Xiuzhuang Zhou (CoRR, 2025)

Towards High-Resolution Industrial Image Anomaly Detection. - Ximiao Zhang; Min Xu; Xiuzhuang Zhou (CoRR, 2025)