Gender Classification Using Principal Geodesic Analysis and Gaussian Mixture Models. - Jing Wu 004; William A. P. Smith; Edwin R. Hancock (CIARP, 2006)

Gender Classification using Shape from Shading. - Jing Wu 004; William A. P. Smith; Edwin R. Hancock (BMVC, 2007)

Weighted Principal Geodesic Analysis for Facial Gender Classification. - Jing Wu 004; William A. P. Smith; Edwin R. Hancock (CIARP, 2007)

Face Recognition Using Principal Geodesic Analysis and Manifold Learning. - Matthew P. Dickens; William A. P. Smith; Jing Wu 004; Edwin R. Hancock (IbPRIA (1), 2007)

Learning Mixture Models for Gender Classification Based on Facial Surface Normals. - Jing Wu 004; William A. P. Smith; Edwin R. Hancock (IbPRIA (1), 2007)

Facial Gender Classification Using Shape from Shading and Weighted Principal Geodesic Analysis. - Jing Wu 004; William A. P. Smith; Edwin R. Hancock (ICIAR, 2008)

Gender classification based on facial surface normals. - Jing Wu 004; William A. P. Smith; Edwin R. Hancock (ICPR, 2008)

Supervised Principal Geodesic Analysis on Facial Surface Normals for Gender Classification. - Jing Wu 004; William A. P. Smith; Edwin R. Hancock (SSPR/SPR, 2008)

Semi-supervised Feature Selection for Gender Classification. - Jing Wu 004; William A. P. Smith; Edwin R. Hancock (ACCV (2), 2009)

Extracting gender discriminating features from facial needle-maps. - Jing Wu 004; William A. P. Smith; Edwin R. Hancock; Michal Kawulok (ICIP, 2009)

Statistical approaches to gender classification in the surface normal domain. - Jing Wu 004 (2009)

Facial gender classification using shape-from-shading. - Jing Wu 004; William A. P. Smith; Edwin R. Hancock (Image Vis. Comput., 2010)

An information theoretic approach to gender feature selection. - Zhihong Zhang 001; Edwin R. Hancock; Jing Wu 004 (ICCV Workshops, 2011)

Supervised relevance maps for increasing the distinctiveness of facial images. - Michal Kawulok; Jing Wu 004; Edwin R. Hancock (Pattern Recognit., 2011)

Gender discriminating models from facial surface normals. - Jing Wu 004; William A. P. Smith; Edwin R. Hancock (Pattern Recognit., 2011)

Estimating Surface Characteristics and Extracting Features from Polarisation. - Lichi Zhang; Edwin R. Hancock; Jing Wu 004 (SSPR/SPR, 2012)

Making bas-reliefs from photographs of human faces. - Jing Wu 004; Ralph R. Martin; Paul L. Rosin; Xianfang Sun; Frank C. Langbein; Yu-Kun Lai; A. David Marshall; Y.-H. Liu (Comput. Aided Des., 2013)

Use of non-photorealistic rendering and photometric stereo in making bas-reliefs from photographs. - Jing Wu 004; Ralph R. Martin; Paul L. Rosin; Xianfang Sun; Yu-Kun Lai; Y.-H. Liu; Christian Wallraven (Graph. Model., 2014)

Improving Shape from Shading with Interactive Tabu Search. - Jing Wu 004; Paul L. Rosin; Xianfang Sun; Ralph R. Martin (J. Comput. Sci. Technol., 2016)

Seeing the Unseen: Locating Objects from Reflections. - Jing Wu 004; Ze Ji (TAROS, 2018)

Visual Diagnosis of Tree Boosting Methods. - Shixia Liu; Jiannan Xiao; Junlin Liu; Xiting Wang; Jing Wu 004; Jun Zhu 001 (IEEE Trans. Vis. Comput. Graph., 2018)

Discriminative Features Matter: Multi-layer Bilinear Pooling for Camera Localization. - Xin Wang; Xiang Wang 014; Chen Wang 026; Xiao Bai 001; Jing Wu 004; Edwin Robert Hancock (BMVC, 2019)

Interactive Correction of Mislabeled Training Data. - Shouxing Xiang; Xi Ye; Jiazhi Xia; Jing Wu 004; Yang Chen; Shixia Liu (VAST, 2019)

Computer-assisted Relief Modelling: A Comprehensive Survey. - Yu-Wei Zhang 014; Jing Wu 004; Zhongping Ji; Mingqiang Wei; Caiming Zhang 001 (Comput. Graph. Forum, 2019)

InSocialNet: Interactive visual analytics for role - event videos. - Yaohua Pan; Zhibin Niu; Jing Wu 004; Jiawan Zhang (Comput. Vis. Media, 2019)

MLCVNet: Multi-Level Context VoteNet for 3D Object Detection. - Qian Xie 001; Yu-Kun Lai; Jing Wu 004; Zhoutao Wang; Yiming Zhang; Kai Xu 004; Jun Wang 039 (CVPR, 2020)

Automated Robot-based Large-Scale 3D Surface Imaging. - Kun Chen; Jingjing Wen; Jing Wu 004; Ze Ji (KES, 2020)

E3: Visual Exploration of Spatiotemporal Energy Demand. - Junqi Wu 003; Zhibin Niu; Jing Wu 004; Xiufeng Liu; Jiawan Zhang (CoRR, 2020)

Manifold Alignment for Semantically Aligned Style Transfer. - Jing Huo; Shiyin Jin; Wenbin Li 006; Jing Wu 004; Yu-Kun Lai; Yinghuan Shi; Yang Gao 001 (ICCV, 2021)

MLVSNet: Multi-level Voting Siamese Network for 3D Visual Tracking. - Zhoutao Wang; Qian Xie 001; Yu-Kun Lai; Jing Wu 004; Kun Long; Jun Wang 039 (ICCV, 2021)

VENet: Voting Enhancement Network for 3D Object Detection. - Qian Xie 001; Yu-Kun Lai; Jing Wu 004; Zhoutao Wang; Dening Lu; Mingqiang Wei; Jun Wang 039 (ICCV, 2021)

An Open-Source Multi-goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet. - Xintong Yang; Ze Ji; Jing Wu 004; Yu-Kun Lai (TAROS, 2021)

Learning 3D face reconstruction from a single sketch. - Li Yang; Jing Wu 004; Jing Huo; Yu-Kun Lai; Yang Gao 001 (Graph. Model., 2021)

Vote-Based 3D Object Detection with Context Modeling and SOB-3DNMS. - Qian Xie 001; Yu-Kun Lai; Jing Wu 004; Zhoutao Wang; Yiming Zhang; Kai Xu 004; Jun Wang 039 (Int. J. Comput. Vis., 2021)

MW-GAN: Multi-Warping GAN for Caricature Generation With Multi-Style Geometric Exaggeration. - Haodi Hou; Jing Huo; Jing Wu 004; Yu-Kun Lai; Yang Gao 001 (IEEE Trans. Image Process., 2021)

Analyzing the Noise Robustness of Deep Neural Networks. - Kelei Cao; Mengchen Liu; Hang Su 006; Jing Wu 004; Jun Zhu 001; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2021)

Interactive Graph Construction for Graph-Based Semi-Supervised Learning. - Changjian Chen; Zhaowei Wang; Jing Wu 004; Xiting Wang; Lan-Zhe Guo; Yufeng Li 008; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2021)

Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling. - Yuanbang Liang; Jing Wu 004; Yu-Kun Lai; Yipeng Qin (ICML, 2022)

Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning. - Xintong Yang; Ze Ji; Jing Wu 004; Yu-Kun Lai (ICAC, 2022)

Playing Lottery Tickets in Style Transfer Models. - Meihao Kong; Jing Huo; Wenbin Li 006; Jing Wu 004; Yu-Kun Lai; Yang Gao 001 (CoRR, 2022)

Hierarchical Reinforcement Learning With Universal Policies for Multistep Robotic Manipulation. - Xintong Yang; Ze Ji; Jing Wu 004; Yu-Kun Lai; Changyun Wei; Guoliang Liu; Rossitza Setchi (IEEE Trans. Neural Networks Learn. Syst., 2022)

Towards Better Caption Supervision for Object Detection. - Changjian Chen; Jing Wu 004; Xiaohan Wang; Shouxing Xiang; Song-Hai Zhang; Qifeng Tang; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2022)

A Unified Understanding of Deep NLP Models for Text Classification. - Zhen Li 044; Xiting Wang; Weikai Yang; Jing Wu 004; Zhengyan Zhang; Zhiyuan Liu 001; Maosong Sun 001; Hui Zhang 013; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2022)

Feature Proliferation - the "Cancer" in StyleGAN and its Treatments. - Shuang Song 012; Yuanbang Liang; Jing Wu 004; Yu-Kun Lai; Yipeng Qin (ICCV, 2023)

AFPSNet: Multi-Class Part Parsing based on Scaled Attention and Feature Fusion. - Njuod Alsudays; Jing Wu 004; Yu-Kun Lai; Ze Ji (WACV, 2023)

Interactive Visual Cluster Analysis by Contrastive Dimensionality Reduction. - Jiazhi Xia; Linquan Huang; Weixing Lin; Xin Zhao 025; Jing Wu 004; Yang Chen; Ying Zhao 001; Wei Chen 001 (IEEE Trans. Vis. Comput. Graph., 2023)

Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective. - Xintong Yang; Ze Ji; Jing Wu 004; Yu-Kun Lai (IEEE Trans. Cogn. Dev. Syst., 2023)

GRPSNET: Multi-Class Part Parsing Based on Graph Reasoning. - Njuod Alsudays; Jing Wu 004; Yu-Kun Lai; Ze Ji (ICME, 2024)

Fusion of Short-term and Long-term Attention for Video Mirror Detection. - Mingchen Xu; Jing Wu 004; Yu-Kun Lai; Ze Ji (ICME, 2024)

Efficient Precision and Recall Metrics for Assessing Generative Models using Hubness-aware Sampling. - Yuanbang Liang; Jing Wu 004; Yu-Kun Lai; Yipeng Qin (ICML, 2024)

RSMPNet: Relationship Guided Semantic Map Prediction. - Jingwen Sun; Jing Wu 004; Ze Ji; Yu-Kun Lai (WACV, 2024)

Sparse Convolutional Networks for Surface Reconstruction from Noisy Point Clouds. - Tao Wang; Jing Wu 004; Ze Ji; Yu-Kun Lai (WACV, 2024)

Zero-Shot Video Editing through Adaptive Sliding Score Distillation. - Lianghan Zhu; Yanqi Bao; Jing Huo; Jing Wu 004; Yu-Kun Lai; Wenbin Li 006; Yang Gao 001 (CoRR, 2024)

A Scalable Matrix Visualization for Understanding Tree Ensemble Classifiers. - Zhen Li 044; Weikai Yang; Jun Yuan 003; Jing Wu 004; Changjian Chen; Yao Ming; Fan Yang; Hui Zhang 013; Shixia Liu (CoRR, 2024)

Towards efficient image and video style transfer via distillation and learnable feature transformation. - Jing Huo; Meihao Kong; Wenbin Li 006; Jing Wu 004; Yu-Kun Lai; Yang Gao 001 (Comput. Vis. Image Underst., 2024)

GAM: General affordance-based manipulation for contact-rich object disentangling tasks. - Xintong Yang; Jing Wu 004; Yu-Kun Lai; Ze Ji (Neurocomputing, 2024)

Mapless navigation via Hierarchical Reinforcement Learning with memory-decaying novelty. - Yan Gao 021; Feiqiang Lin; Boliang Cai; Jing Wu 004; Changyun Wei; Raphael Grech; Ze Ji (Robotics Auton. Syst., 2024)

A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision. - Changjian Chen; Yukai Guo; Fengyuan Tian; Shilong Liu; Weikai Yang; Zhaowei Wang; Jing Wu 004; Hang Su 006; Hanspeter Pfister; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2024)

Interactive Reweighting for Mitigating Label Quality Issues. - Weikai Yang; Yukai Guo; Jing Wu 004; Zheng Wang; Lan-Zhe Guo; Yufeng Li 008; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2024)

Benchmarking visual SLAM methods in mirror environments. - Peter Herbert; Jing Wu 004; Ze Ji; Yu-Kun Lai (Comput. Vis. Media, 2024)

Efficient Hierarchical Reinforcement Learning for Mapless Navigation With Predictive Neighbouring Space Scoring. - Yan Gao 021; Jing Wu 004; Xintong Yang; Ze Ji (IEEE Trans Autom. Sci. Eng., 2024)

RGB-D Video Mirror Detection. - Mingchen Xu; Peter Herbert; Yu-Kun Lai; Ze Ji; Jing Wu 004 (WACV, 2025)

Guest Editorial: Multi-view representation learning for computer vision. - Xin Ning 001; Jun Zhou 001; Jian Cheng 001; Jing Wu 004; Chen Wang 026; Lin Gu 003 (IET Comput. Vis., 2025)

A Survey of Object Goal Navigation. - Jingwen Sun; Jing Wu 004; Ze Ji; Yu-Kun Lai (IEEE Trans Autom. Sci. Eng., 2025)

RuleExplorer: A Scalable Matrix Visualization for Understanding Tree Ensemble Classifiers. - Zhen Li 044; Weikai Yang; Jun Yuan 003; Jing Wu 004; Changjian Chen; Yao Ming; Fan Yang; Hui Zhang 013; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2025)