Genetic Algorithm based Selective Neural Network Ensemble. - Zhi-Hua Zhou; Jianxin Wu 001; Yuan Jiang 001; Shifu Chen (IJCAI, 2001)

Combining Regression Estimators: GA-Based Selective Neural Network Ensemble. - Zhi-Hua Zhou; Jianxin Wu 001; Wei Tang; Zhaoqian Chen (Int. J. Comput. Intell. Appl., 2001)

Ensembling neural networks: Many could be better than all. - Zhi-Hua Zhou; Jianxin Wu 001; Wei Tang (Artif. Intell., 2002)

Face recognition with one training image per person. - Jianxin Wu 001; Zhi-Hua Zhou (Pattern Recognit. Lett., 2002)

Visual place categorization. - Jianxin Wu 001 (2002)

Learning a Rare Event Detection Cascade by Direct Feature Selection. - Jianxin Wu 001; James M. Rehg; Matthew D. Mullin (NIPS, 2003)

Efficient face candidates selector for face detection. - Jianxin Wu 001; Zhi-Hua Zhou (Pattern Recognit., 2003)

Linear Asymmetric Classifier for cascade detectors. - Jianxin Wu 001; Matthew D. Mullin; James M. Rehg (ICML, 2005)

Towards the Optimal Training of Cascades of Boosted Ensembles. - S. Charles Brubaker; Jianxin Wu 001; Jie Sun 004; Matthew D. Mullin; James M. Rehg (Toward Category-Level Object Recognition, 2006)

Exploratory Under-Sampling for Class-Imbalance Learning. - Xu-Ying Liu; Jianxin Wu 001; Zhi-Hua Zhou (ICDM, 2006)

A Scalable Approach to Activity Recognition based on Object Use. - Jianxin Wu 001; Adebola Osuntogun; Tanzeem Choudhury; Matthai Philipose; James M. Rehg (ICCV, 2007)

Where am I: Place instance and category recognition using spatial PACT. - Jianxin Wu 001; James M. Rehg (CVPR, 2008)

On the Design of Cascades of Boosted Ensembles for Face Detection. - S. Charles Brubaker; Jianxin Wu 001; Jie Sun 004; Matthew D. Mullin; James M. Rehg (Int. J. Comput. Vis., 2008)

Fast Asymmetric Learning for Cascade Face Detection. - Jianxin Wu 001; S. Charles Brubaker; Matthew D. Mullin; James M. Rehg (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Beyond the Euclidean distance: Creating effective visual codebooks using the Histogram Intersection Kernel. - Jianxin Wu 001; James M. Rehg (ICCV, 2009)

Visual Place Categorization: Problem, dataset, and algorithm. - Jianxin Wu 001; Henrik I. Christensen; James M. Rehg (IROS, 2009)

Exploratory Undersampling for Class-Imbalance Learning. - Xu-Ying Liu; Jianxin Wu 001; Zhi-Hua Zhou (IEEE Trans. Syst. Man Cybern. Part B, 2009)

A Fast Dual Method for HIK SVM Learning. - Jianxin Wu 001 (ECCV (2), 2010)

Corrigendum to "Ensembling neural networks: Many could be better than all" [Artificial Intelligence 137 (1-2) (2002) 239-263]. - Zhi-Hua Zhou; Jianxin Wu 001; Wei Tang (Artif. Intell., 2010)

Face Detection. - Stan Z. Li; Jianxin Wu 001 (Handbook of Face Recognition, 2011)

Real-time human detection using contour cues. - Jianxin Wu 001; Christopher Geyer; James M. Rehg (ICRA, 2011)

Probit Classifiers with a Generalized Gaussian Scale Mixture Prior. - Guoqing Liu; Jianxin Wu 001; Suiping Zhou (IJCAI, 2011)

Exploiting sensing diversity for confident sensing in wireless sensor networks. - Matthew Keally; Gang Zhou; Guoliang Xing; Jianxin Wu 001 (INFOCOM, 2011)

Balance Support Vector Machines Locally Using the Structural Similarity Kernel. - Jianxin Wu 001 (PAKDD (1), 2011)

PBN: towards practical activity recognition using smartphone-based body sensor networks. - Matthew Keally; Gang Zhou; Guoliang Xing; Jianxin Wu 001; Andrew J. Pyles (SenSys, 2011)

Efficient and Effective Visual Codebook Generation Using Additive Kernels. - Jianxin Wu 001; Wei-Chian Tan; James M. Rehg (J. Mach. Learn. Res., 2011)

CENTRIST: A Visual Descriptor for Scene Categorization. - Jianxin Wu 001; James M. Rehg (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Object Templates for Visual Place Categorization. - Hao Yang 033; Jianxin Wu 001 (ACCV (4), 2012)

Exclusive Visual Descriptor Quantization. - Yu Zhang 004; Jianxin Wu 001; Weiyao Lin (ACCV (1), 2012)

Power mean SVM for large scale visual classification. - Jianxin Wu 001 (CVPR, 2012)

Layout-expectation-based Model for Image Search Re-ranking. - Bin Jin; Weiyao Lin; Jianxin Wu 001; Tianhao Wu; Jun Huang; Chongyang Zhang (ICME Workshops, 2012)

Facial expression mapping based on elastic and muscle-distribution-based models. - Yihao Zhang; Weiyao Lin; Bin Sheng 001; Jianxin Wu 001; Hongxiang Li; Chongyang Zhang (ISCAS, 2012)

A new heat-map-based algorithm for human group activity recognition. - Hang Chu; Weiyao Lin; Jianxin Wu 001; Xingtong Zhou; Yuanzhe Chen; Hongxiang Li (ACM Multimedia, 2012)

Key Instance Detection in Multi-Instance Learning. - Guoqing Liu; Jianxin Wu 001; Zhi-Hua Zhou (ACML, 2012)

Practical Large Scale Classification with Additive Kernels. - Hao Yang 033; Jianxin Wu 001 (ACML, 2012)

Efficient HIK SVM Learning for Image Classification. - Jianxin Wu 001 (IEEE Trans. Image Process., 2012)

Reduced Heteroscedasticity Linear Regression for Nyström Approximation. - Hao Yang 033; Jianxin Wu 001 (IJCAI, 2013)

Salient object cutout using Google images. - Hongyuan Zhu; Jianfei Cai 001; Jianmin Zheng; Jianxin Wu 001; Nadia Magnenat-Thalmann (ISCAS, 2013)

Remora: Sensing resource sharing among smartphone-based body sensor networks. - Matthew Keally; Gang Zhou; Guoliang Xing; Jianxin Wu 001 (IWQoS, 2013)

A New Network-Based Algorithm for Human Group Activity Recognition in Videos. - Gaojian Li; Weiyao Lin; Sheng Zhang; Jianxin Wu 001; Yuanzhe Chen; Hui Wei 001 (MMM (1), 2013)

Multi-class Cosegmentation with Pairwise Active Learning. - Anran Wang 001; Hongyuan Zhu; Jianfei Cai 001; Jianxin Wu 001 (PCM, 2013)

Probabilistic classifiers with a generalized Gaussian scale mixture prior. - Guoqing Liu; Jianxin Wu 001; Suiping Zhou (Pattern Recognit., 2013)

A Heat-Map-Based Algorithm for Recognizing Group Activities in Videos. - Weiyao Lin; Hang Chu; Jianxin Wu 001; Bin Sheng 001; Zhenzhong Chen (IEEE Trans. Circuits Syst. Video Technol., 2013)

${ rm C}^{4}$: A Real-Time Object Detection Framework. - Jianxin Wu 001; Nini Liu; Christopher Geyer; James M. Rehg (IEEE Trans. Image Process., 2013)

Learning with Augmented Multi-Instance View. - Yue Zhu 001; Jianxin Wu 001; Yuan Jiang 001; Zhi-Hua Zhou (ACML, 2014)

Towards Good Practices for Action Video Encoding. - Jianxin Wu 001; Yu Zhang 004; Weiyao Lin (CVPR, 2014)

Compact Representation for Image Classification: To Choose or to Compress? - Yu Zhang 004; Jianxin Wu 001; Jianfei Cai 001 (CVPR, 2014)

A Dual-Sensor Enabled Indoor Localization System with Crowdsensing Spot Survey. - Chi Zhang 064; Jun Luo 001; Jianxin Wu 001 (DCOSS, 2014)

Optimizing Ranking Measures for Compact Binary Code Learning. - Guosheng Lin; Chunhua Shen; Jianxin Wu 001 (ECCV (3), 2014)

Finding Coherent Motions and Semantic Regions in Crowd Scenes: A Diffusion and Clustering Approach. - Weiyue Wang 002; Weiyao Lin; Yuanzhe Chen; Jianxin Wu 001; Jingdong Wang 001; Bin Sheng 001 (ECCV (1), 2014)

Scalable Multi-instance Learning. - Xiu-Shen Wei; Jianxin Wu 001; Zhi-Hua Zhou (ICDM, 2014)

Poster abstract: MaWi: a hybrid magnetic and wi-fi system for scalable indoor localization. - Chi Zhang 064; Jun Luo 001; Jianxin Wu 001 (IPSN, 2014)

Representing And Recognizing Motion Trajectories: A Tube And Droplet Approach. - Yang Zhou; Weiyao Lin; Hang Su 006; Jianxin Wu 001; Jinjun Wang; Yu Zhou 015 (ACM Multimedia, 2014)

Facial expression cloning with elastic and muscle models. - Yihao Zhang; Weiyao Lin; Bing Zhou 003; Zhenzhong Chen; Bin Sheng 001; Jianxin Wu 001 (J. Vis. Commun. Image Represent., 2014)

A New Network-Based Algorithm for Human Activity Recognition in Videos. - Weiyao Lin; Yuanzhe Chen; Jianxin Wu 001; Hanli Wang; Bin Sheng 001; Hongxiang Li (IEEE Trans. Circuits Syst. Video Technol., 2014)

mCENTRIST: A Multi-Channel Feature Generation Mechanism for Scene Categorization. - Yang Xiao 007; Jianxin Wu 001; Junsong Yuan 001 (IEEE Trans. Image Process., 2014)

Flexible Image Similarity Computation Using Hyper-Spatial Matching. - Yu Zhang 004; Jianxin Wu 001; Jianfei Cai 001; Weiyao Lin (IEEE Trans. Image Process., 2014)

Steerable second order intensity features for pedestrian detection. - Sing Kuang Tan; Tat-Jen Cham; Jianxin Wu 001 (ACPR, 2015)

Person Re-Identification with Correspondence Structure Learning. - Yang Shen; Weiyao Lin; Junchi Yan; Mingliang Xu; Jianxin Wu 001; Jingdong Wang 001 (ICCV, 2015)

Deep Spatial Pyramid Ensemble for Cultural Event Recognition. - Xiu-Shen Wei; Bin-Bin Gao; Jianxin Wu 001 (ICCV Workshops, 2015)

Deep Label Distribution Learning for Apparent Age Estimation. - Xu Yang 021; Bin-Bin Gao; Chao Xing; Zeng-Wei Huo; Xiu-Shen Wei; Ying Zhou; Jianxin Wu 001; Xin Geng 001 (ICCV Workshops, 2015)

Deep Spatial Pyramid: The Devil is Once Again in the Details. - Bin-Bin Gao; Xiu-Shen Wei; Jianxin Wu 001; Weiyao Lin (CoRR, 2015)

A new network-based algorithm for human activity recognition in video. - Weiyao Lin; Yuanzhe Chen; Jianxin Wu 001; Hanli Wang; Bin Sheng 001; Hongxiang Li (CoRR, 2015)

Visual Recognition Using Directional Distribution Distance. - Jianxin Wu 001; Bin-Bin Gao; Guoqing Liu (CoRR, 2015)

Can Partial Strong Labels Boost Multi-label Object Recognition? - Hao Yang 033; Joey Tianyi Zhou; Yu Zhang 004; Bin-Bin Gao; Jianxin Wu 001; Jianfei Cai 001 (CoRR, 2015)

Facial Expression Cloning with Elastic and Muscle Models. - Yihao Zhang; Weiyao Lin; Bing Zhou 003; Zhenzhong Chen; Bin Sheng 001; Jianxin Wu 001; Wenjun Zhang 001 (CoRR, 2015)

Weakly Supervised Fine-Grained Image Categorization. - Yu Zhang 004; Xiu-Shen Wei; Jianxin Wu 001; Jianfei Cai 001; Jiangbo Lu; Viet Anh Nguyen; Minh N. Do (CoRR, 2015)

GROPING: Geomagnetism and cROwdsensing Powered Indoor NaviGation. - Chi Zhang 064; Kalyan Subbu; Jun Luo 001; Jianxin Wu 001 (IEEE Trans. Mob. Comput., 2015)

Linear Regression-Based Efficient SVM Learning for Large-Scale Classification. - Jianxin Wu 001; Hao Yang 033 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Automatic Face Naming by Learning Discriminative Affinity Matrices From Weakly Labeled Images. - Shijie Xiao; Dong Xu 001; Jianxin Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Representing Sets of Instances for Visual Recognition. - Jianxin Wu 001; Bin-Bin Gao; Guoqing Liu (AAAI, 2016)

Exploit Bounding Box Annotations for Multi-Label Object Recognition. - Hao Yang 033; Joey Tianyi Zhou; Yu Zhang 004; Bin-Bin Gao; Jianxin Wu 001; Jianfei Cai 001 (CVPR, 2016)

Deep Bimodal Regression for Apparent Personality Analysis. - Chen-Lin Zhang; Hao Zhang 038; Xiu-Shen Wei; Jianxin Wu 001 (ECCV Workshops (3), 2016)

Learning compact binary codes from higher-order tensors via Free-Form Reshaping and Binarized Multilinear PCA. - Haiping Lu; Jianxin Wu 001; Yu Zhang 004 (IJCNN, 2016)

Structured Learning of Binary Codes with Column Generation. - Guosheng Lin; Fayao Liu; Chunhua Shen; Jianxin Wu 001; Heng Tao Shen (CoRR, 2016)

A Tube-and-Droplet-based Approach for Representing and Analyzing Motion Trajectories. - Weiyao Lin; Yang Zhou; Hongteng Xu; Junchi Yan; Mingliang Xu; Jianxin Wu 001; Zicheng Liu 001 (CoRR, 2016)

Mask-CNN: Localizing Parts and Selecting Descriptors for Fine-Grained Image Recognition. - Xiu-Shen Wei; Chen-Wei Xie; Jianxin Wu 001 (CoRR, 2016)

Dense CNN Learning with Equivalent Mappings. - Jianxin Wu 001; Chen-Wei Xie; Jian-Hao Luo (CoRR, 2016)

Minimal gated unit for recurrent neural networks. - Guo-Bing Zhou; Jianxin Wu 001; Chen-Lin Zhang; Zhi-Hua Zhou (Int. J. Autom. Comput., 2016)

Good Practices for Learning to Recognize Actions Using FV and VLAD. - Jianxin Wu 001; Yu Zhang 004; Weiyao Lin (IEEE Trans. Cybern., 2016)

Action Recognition in Still Images With Minimum Annotation Efforts. - Yu Zhang 004; Li Cheng 001; Jianxin Wu 001; Jianfei Cai 001; Minh N. Do; Jiangbo Lu (IEEE Trans. Image Process., 2016)

Weakly Supervised Fine-Grained Categorization With Part-Based Image Representation. - Yu Zhang 004; Xiu-Shen Wei; Jianxin Wu 001; Jianfei Cai 001; Jiangbo Lu; Viet Anh Nguyen; Minh N. Do (IEEE Trans. Image Process., 2016)

A Diffusion and Clustering-Based Approach for Finding Coherent Motions and Understanding Crowd Scenes. - Weiyao Lin; Yang Mi; Weiyue Wang 002; Jianxin Wu 001; Jingdong Wang 001; Tao Mei 001 (IEEE Trans. Image Process., 2016)

Compact Representation of High-Dimensional Feature Vectors for Large-Scale Image Recognition and Retrieval. - Yu Zhang 004; Jianxin Wu 001; Jianfei Cai 001 (IEEE Trans. Image Process., 2016)

Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition. - Hong-Yu Zhou; Bin-Bin Gao; Jianxin Wu 001 (BMVC, 2017)

ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression. - Jian-Hao Luo; Jianxin Wu 001; Weiyao Lin (ICCV, 2017)

Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors. - Hong-Yu Zhou; Bin-Bin Gao; Jianxin Wu 001 (ICCV, 2017)

Deep Descriptor Transforming for Image Co-Localization. - Xiu-Shen Wei; Chen-Lin Zhang; Yao Li 003; Chen-Wei Xie; Jianxin Wu 001; Chunhua Shen; Zhi-Hua Zhou (IJCAI, 2017)

In Defense of Fully Connected Layers in Visual Representation Transfer. - Chen-Lin Zhang; Jian-Hao Luo; Xiu-Shen Wei; Jianxin Wu 001 (PCM (2), 2017)

Content-Based Image Recovery. - Hong-Yu Zhou; Jianxin Wu 001 (PCM (2), 2017)

Learning Correspondence Structures for Person Re-identification. - Weiyao Lin; Yang Shen; Junchi Yan; Mingliang Xu; Jianxin Wu 001; Jingdong Wang 001; Ke Lu 002 (CoRR, 2017)

An Entropy-based Pruning Method for CNN Compression. - Jian-Hao Luo; Jianxin Wu 001 (CoRR, 2017)

Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming. - Xiu-Shen Wei; Chen-Lin Zhang; Jianxin Wu 001; Chunhua Shen; Zhi-Hua Zhou (CoRR, 2017)

Code Attention: Translating Code to Comments by Exploiting Domain Features. - Wenhao Zheng 001; Hong-Yu Zhou; Ming Li 005; Jianxin Wu 001 (CoRR, 2017)

Action Recognition with Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion. - Weiyao Lin; Yang Mi; Jianxin Wu 001; Ke Lu 002; Hongkai Xiong (CoRR, 2017)

Image categorization with resource constraints: introduction, challenges and advances. - Jian-Hao Luo; Wang Zhou; Jianxin Wu 001 (Frontiers Comput. Sci., 2017)

Structured Learning of Binary Codes with Column Generation for Optimizing Ranking Measures. - Guosheng Lin; Fayao Liu; Chunhua Shen; Jianxin Wu 001; Heng Tao Shen (Int. J. Comput. Vis., 2017)

Sparse multiple instance learning as document classification. - Shengye Yan; Xiaodong Zhu; Guoqing Liu; Jianxin Wu 001 (Multim. Tools Appl., 2017)

A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories. - Weiyao Lin; Yang Zhou; Hongteng Xu; Junchi Yan; Mingliang Xu 001; Jianxin Wu 001; Zicheng Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Editorial of the Special Issue on Multi-instance Learning in Pattern Recognition and Vision. - Jianxin Wu 001; Xiang Bai; Marco Loog; Fabio Roli; Zhi-Hua Zhou (Pattern Recognit., 2017)

Deep Label Distribution Learning With Label Ambiguity. - Bin-Bin Gao; Chao Xing; Chen-Wei Xie; Jianxin Wu 001; Xin Geng 001 (IEEE Trans. Image Process., 2017)

Learning Correspondence Structures for Person Re-Identification. - Weiyao Lin; Yang Shen; Junchi Yan; Mingliang Xu 001; Jianxin Wu 001; Jingdong Wang 001; Ke Lu 002 (IEEE Trans. Image Process., 2017)

Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval. - Xiu-Shen Wei; Jian-Hao Luo; Jianxin Wu 001; Zhi-Hua Zhou (IEEE Trans. Image Process., 2017)

Scalable Algorithms for Multi-Instance Learning. - Xiu-Shen Wei; Jianxin Wu 001; Zhi-Hua Zhou (IEEE Trans. Neural Networks Learn. Syst., 2017)

Action Recognition With Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion. - Weiyao Lin; Chongyang Zhang; Ke Lu 002; Bin Sheng 001; Jianxin Wu 001; Bingbing Ni; Xin Liu; Hongkai Xiong (AAAI, 2018)

Coarse-to-Fine: A RNN-Based Hierarchical Attention Model for Vehicle Re-identification. - Xiu-Shen Wei; Chen-Lin Zhang; Lingqiao Liu; Chunhua Shen; Jianxin Wu 001 (ACCV (2), 2018)

Age Estimation Using Expectation of Label Distribution Learning. - Bin-Bin Gao; Hong-Yu Zhou; Jianxin Wu 001; Xin Geng 001 (IJCAI, 2018)

Learning Effective Binary Visual Representations with Deep Networks. - Jianxin Wu 001; Jian-Hao Luo (CoRR, 2018)

Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization. - Xiu-Shen Wei; Chen-Wei Xie; Jianxin Wu 001; Chunhua Shen (Pattern Recognit., 2018)

Deep Bimodal Regression of Apparent Personality Traits from Short Video Sequences. - Xiu-Shen Wei; Chen-Lin Zhang; Hao Zhang 038; Jianxin Wu 001 (IEEE Trans. Affect. Comput., 2018)

Probabilistic End-To-End Noise Correction for Learning With Noisy Labels. - Kun Yi; Jianxin Wu 001 (CVPR, 2019)

Towards Real-Time Action Recognition on Mobile Devices Using Deep Models. - Chen-Lin Zhang; Xinxin Liu; Jianxin Wu 001 (CoRR, 2019)

Deep Learning for Fine-Grained Image Analysis: A Survey. - Xiu-Shen Wei; Jianxin Wu 001; Quan Cui (CoRR, 2019)

Neural Forest Learning. - Yun-Hao Cao; Jianxin Wu 001 (CoRR, 2019)

CodeAttention: translating source code to comments by exploiting the code constructs. - Wenhao Zheng 001; Hong-Yu Zhou; Ming Li 005; Jianxin Wu 001 (Frontiers Comput. Sci., 2019)

ThiNet: Pruning CNN Filters for a Thinner Net. - Jian-Hao Luo; Hao Zhang 038; Hong-Yu Zhou; Chen-Wei Xie; Jianxin Wu 001; Weiyao Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Unsupervised object discovery and co-localization by deep descriptor transformation. - Xiu-Shen Wei; Chen-Lin Zhang; Jianxin Wu 001; Chunhua Shen; Zhi-Hua Zhou (Pattern Recognit., 2019)

Improving CNN linear layers with power mean non-linearity. - Chen-Lin Zhang; Jianxin Wu 001 (Pattern Recognit., 2019)

Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples. - Xiu-Shen Wei; Peng Wang 023; Lingqiao Liu; Chunhua Shen; Jianxin Wu 001 (IEEE Trans. Image Process., 2019)

Repetitive Reprediction Deep Decipher for Semi-Supervised Learning. - Guo-Hua Wang; Jianxin Wu 001 (AAAI, 2020)

Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification. - Yao Yao; Jiehui Deng; Xiuhua Chen; Chen Gong 002; Jianxin Wu 001; Jian Yang 003 (AAAI, 2020)

Neural Network Pruning With Residual-Connections and Limited-Data. - Jian-Hao Luo; Jianxin Wu 001 (CVPR, 2020)

Rethinking the Route Towards Weakly Supervised Object Localization. - Chen-Lin Zhang; Yun-Hao Cao; Jianxin Wu 001 (CVPR, 2020)

Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation. - Bin-Bin Gao; Xinxin Liu; Hong-Yu Zhou; Jianxin Wu 001; Xin Geng 001 (CoRR, 2020)

In Defense of Feature Mimicking for Knowledge Distillation. - Guo-Hua Wang; Yifan Ge; Jianxin Wu 001 (CoRR, 2020)

AutoPruner: An end-to-end trainable filter pruning method for efficient deep model inference. - Jian-Hao Luo; Jianxin Wu 001 (Pattern Recognit., 2020)

Simultaneous 3D hand detection and pose estimation using single depth images. - Yu Zhang 004; Siya Mi; Jianxin Wu 001; Xin Geng 001 (Pattern Recognit. Lett., 2020)

Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks. - Yongshun Zhang; Xiu-Shen Wei; Boyan Zhou; Jianxin Wu 001 (AAAI, 2021)

Distilling Virtual Examples for Long-tailed Recognition. - Yin-Yin He; Jianxin Wu 001; Xiu-Shen Wei (ICCV, 2021)

Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach. - Zeren Sun; Yazhou Yao; Xiu-Shen Wei; Yongshun Zhang; Fumin Shen; Jianxin Wu 001; Jian Zhang 002; Heng Tao Shen (ICCV, 2021)

Residual Attention: A Simple but Effective Method for Multi-Label Recognition. - Ke Zhu; Jianxin Wu 001 (ICCV, 2021)

Mixup Without Hesitation. - Hao Yu; Huanyu Wang; Jianxin Wu 001 (ICIG (2), 2021)

Rethinking Self-Supervised Learning: Small is Beautiful. - Yun-Hao Cao; Jianxin Wu 001 (CoRR, 2021)

Salvage of Supervision in Weakly Supervised Detection. - Lin Sui; Chen-Lin Zhang; Jianxin Wu 001 (CoRR, 2021)

Neural random subspace. - Yun-Hao Cao; Jianxin Wu 001; Hanchen Wang 002; Joan Lasenby (Pattern Recognit., 2021)

Multi-Instance Learning With Emerging Novel Class. - Xiu-Shen Wei; Han-Jia Ye; Xin Mu; Jianxin Wu 001; Chunhua Shen; Zhi-Hua Zhou (IEEE Trans. Knowl. Data Eng., 2021)

A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications. - Yun-Hao Cao; Jianxin Wu 001 (AAAI, 2022)

Salvage of Supervision in Weakly Supervised Object Detection. - Lin Sui; Chen-Lin Zhang; Jianxin Wu 001 (CVPR, 2022)

Compressing Models with Few Samples: Mimicking then Replacing. - Huanyu Wang; Junjie Liu; Xin Ma; Yang Yong; Zhenhua Chai; Jianxin Wu 001 (CVPR, 2022)

Synergistic Self-supervised and Quantization Learning. - Yun-Hao Cao; Peiqin Sun; Yechang Huang; Jianxin Wu 001; Shuchang Zhou 001 (ECCV (30), 2022)

Training Vision Transformers with only 2040 Images. - Yun-Hao Cao; Hao Yu; Jianxin Wu 001 (ECCV (25), 2022)

Worst Case Matters for Few-Shot Recognition. - Minghao Fu 001; Yun-Hao Cao; Jianxin Wu 001 (ECCV (20), 2022)

ActionFormer: Localizing Moments of Actions with Transformers. - Chen-Lin Zhang; Jianxin Wu 001; Yin Li 003 (ECCV (4), 2022)

PENCIL: Deep Learning with Noisy Labels. - Kun Yi; Guo-Hua Wang; Jianxin Wu 001 (CoRR, 2022)

R2-D2: Repetitive Reprediction Deep Decipher for Semi-Supervised Deep Learning. - Guo-Hua Wang; Jianxin Wu 001 (CoRR, 2022)

Distilling Knowledge by Mimicking Features. - Guo-Hua Wang; Yifan Ge; Jianxin Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Fine-Grained Image Analysis With Deep Learning: A Survey. - Xiu-Shen Wei; Yi-Zhe Song; Oisin Mac Aodha; Jianxin Wu 001; Yuxin Peng; Jinhui Tang 001; Jian Yang 003; Serge J. Belongie (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Versatile, full-spectrum, and swift network sampling for model generation. - Huanyu Wang; Yongshun Zhang; Jianxin Wu 001 (Pattern Recognit., 2022)

ECML: An Ensemble Cascade Metric-Learning Mechanism Toward Face Verification. - Fu Xiong; Yang Xiao 007; Zhiguo Cao 001; Yancheng Wang; Joey Tianyi Zhou; Jianxin Wu 001 (IEEE Trans. Cybern., 2022)

Compressing Transformers: Features Are Low-Rank, but Weights Are Not! - Hao Yu; Jianxin Wu 001 (AAAI, 2023)

Quantized Feature Distillation for Network Quantization. - Ke Zhu; Yin-Yin He; Jianxin Wu 001 (AAAI, 2023)

No One Left Behind: Improving the Worst Categories in Long-Tailed Learning. - Yingxiao Du; Jianxin Wu 001 (CVPR, 2023)

Practical Network Acceleration with Tiny Sets. - Guo-Hua Wang; Jianxin Wu 001 (CVPR, 2023)

Multi-Label Self-Supervised Learning with Scene Images. - Ke Zhu; Minghao Fu 001; Jianxin Wu 001 (ICCV, 2023)

Instance-based Max-margin for Practical Few-shot Recognition. - Minghao Fu 001; Ke Zhu; Jianxin Wu 001 (CoRR, 2023)

Weakly supervised foreground learning for weakly supervised localization and detection. - Chen-Lin Zhang; Yin Li 003; Jianxin Wu 001 (Pattern Recognit., 2023)

A unified pruning framework for vision transformers. - Hao Yu; Jianxin Wu 001 (Sci. China Inf. Sci., 2023)

Salvage of Supervision in Weakly Supervised Object Detection and Segmentation. - Lin Sui; Chen-Lin Zhang; Jianxin Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

DTL: Disentangled Transfer Learning for Visual Recognition. - Minghao Fu 001; Ke Zhu; Jianxin Wu 001 (AAAI, 2024)

Rectify the Regression Bias in Long-Tailed Object Detection. - Ke Zhu; Minghao Fu 001; Jie Shao 001; Tianyu Liu; Jianxin Wu 001 (ECCV (28), 2024)

Unified Low-rank Compression Framework for Click-through Rate Prediction. - Hao Yu; Minghao Fu 001; Jiandong Ding; Yusheng Zhou; Jianxin Wu 001 (KDD, 2024)

DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge. - Jie Shao 001; Ke Zhu; Hanxiao Zhang; Jianxin Wu 001 (NeurIPS, 2024)

Low-rank Attention Side-Tuning for Parameter-Efficient Fine-Tuning. - Ningyuan Tang; Minghao Fu 001; Ke Zhu; Jianxin Wu 001 (CoRR, 2024)

DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition. - Jie Shao 001; Ke Zhu; Hanxiao Zhang; Jianxin Wu 001 (CoRR, 2024)

Dense Vision Transformer Compression with Few Samples. - Hanxiao Zhang; Yifan Zhou; Guo-Hua Wang; Jianxin Wu 001 (CoRR, 2024)

On Improving the Algorithm-, Model-, and Data- Efficiency of Self-Supervised Learning. - Yun-Hao Cao; Jianxin Wu 001 (CoRR, 2024)

Minimal Interaction Edge Tuning: A New Paradigm for Visual Adaptation. - Ningyuan Tang; Minghao Fu 001; Jianxin Wu 001 (CoRR, 2024)

Diffusion Product Quantization. - Jie Shao 001; Hanxiao Zhang; Jianxin Wu 001 (CoRR, 2024)

Tobias: A Random CNN Sees Objects. - Yun-Hao Cao; Jianxin Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Practical Network Acceleration With Tiny Sets: Hypothesis, Theory, and Algorithm. - Guo-Hua Wang; Jianxin Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Treasures in Discarded Weights for LLM Quantization. - Hao Yu; Yang Zhou; Bohua Chen; Zelan Yang; Shen Li; Yong Li; Jianxin Wu 001 (AAAI, 2025)

All You Need in Knowledge Distillation Is a Tailored Coordinate System. - Junjie Zhou; Ke Zhu; Jianxin Wu 001 (AAAI, 2025)

Quantization without Tears. - Minghao Fu 001; Hao Yu; Jie Shao 001; Junjie Zhou; Ke Zhu; Jianxin Wu 001 (CVPR, 2025)

Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation. - Ningyuan Tang; Minghao Fu 001; Jianxin Wu 001 (CVPR, 2025)

Reviving undersampling for long-tailed learning. - Hao Yu; Yingxiao Du; Jianxin Wu 001 (Pattern Recognit., 2025)

Coarse is better? A new pipeline towards self-supervised learning with uncurated images. - Ke Zhu; Yin-Yin He; Jianxin Wu 001 (Pattern Recognit., 2025)

QwT-v2: Practical, Effective and Efficient Post-Training Quantization. - Ningyuan Tang; Minghao Fu 001; Hao Yu; Jianxin Wu 001 (CoRR, 2025)

Images Speak Louder Than Scores: Failure Mode Escape for Enhancing Generative Quality. - Jie Shao 001; Ke Zhu; Minghao Fu 001; Guo-hua Wang; Jianxin Wu 001 (CoRR, 2025)