Jianxin Wu - RankMe

224 papers A* 48A 2B 3C 5Misc 1Journal 136Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DTL: Parameter- and Memory-Efficient Disentangled Vision Learning. IEEE Trans. Pattern Anal. Mach. Intell. Minghao Fu, Ke Zhu, Zonghao Ding, Jianxin Wu
2025	A*	`conf`	All You Need in Knowledge Distillation Is a Tailored Coordinate System. AAAI Junjie Zhou, Ke Zhu, Jianxin Wu
2025	J	`jnl`	Coarse is better? A new pipeline towards self-supervised learning with uncurated images. Pattern Recognit. Ke Zhu, Yin-Yin He, Jianxin Wu
2025	—	`conf`	Dual DTL: Double-Side Compact Transfer Networks for Efficient ViT Adaptation. PRCV (2) Zonghao Ding, Minghao Fu, Jianxin Wu
2025	J	`jnl`	Images Speak Louder Than Scores: Failure Mode Escape for Enhancing Generative Quality. CoRR Jie Shao, Ke Zhu, Minghao Fu, Guohua Wang, Jianxin Wu
2025	A*	`conf`	Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation. CVPR Ningyuan Tang, Minghao Fu, Jianxin Wu
2025	A*	`conf`	Quantization without Tears. CVPR Minghao Fu, Hao Yu, Jie Shao, Junjie Zhou, Ke Zhu, Jianxin Wu
2025	J	`jnl`	QwT-v2: Practical, Effective and Efficient Post-Training Quantization. CoRR Ningyuan Tang, Minghao Fu, Hao Yu, Jianxin Wu
2025	J	`jnl`	Reviving undersampling for long-tailed learning. Pattern Recognit. Hao Yu, Yingxiao Du, Jianxin Wu
2025	J	`jnl`	TWEO: Transformers Without Extreme Outliers Enables FP8 Training And Quantization For Dummies. CoRR Guang Liang, Jie Shao, Ningyuan Tang, Xinyao Liu, Jianxin Wu
2025	A*	`conf`	Treasures in Discarded Weights for LLM Quantization. AAAI Hao Yu, Yang Zhou, Bohua Chen, Zelan Yang, Shen Li, Yong Li, Jianxin Wu
2024	J	`jnl`	All You Need in Knowledge Distillation Is a Tailored Coordinate System. CoRR Junjie Zhou, Ke Zhu, Jianxin Wu
2024	A*	`conf`	DTL: Disentangled Transfer Learning for Visual Recognition. AAAI Minghao Fu, Ke Zhu, Jianxin Wu
2024	J	`jnl`	Dense Vision Transformer Compression with Few Samples. CoRR Hanxiao Zhang, Yifan Zhou, Guo-Hua Wang, Jianxin Wu
2024	A*	`conf`	DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge. NeurIPS Jie Shao, Ke Zhu, Hanxiao Zhang, Jianxin Wu
2024	J	`jnl`	DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition. CoRR Jie Shao, Ke Zhu, Hanxiao Zhang, Jianxin Wu
2024	J	`jnl`	Diffusion Product Quantization. CoRR Jie Shao, Hanxiao Zhang, Jianxin Wu
2024	J	`jnl`	Low-rank Attention Side-Tuning for Parameter-Efficient Fine-Tuning. CoRR Ningyuan Tang, Minghao Fu, Ke Zhu, Jianxin Wu
2024	J	`jnl`	Minimal Interaction Edge Tuning: A New Paradigm for Visual Adaptation. CoRR Ningyuan Tang, Minghao Fu, Jianxin Wu
2024	J	`jnl`	On Improving the Algorithm-, Model-, and Data- Efficiency of Self-Supervised Learning. CoRR Yun-Hao Cao, Jianxin Wu
2024	J	`jnl`	Practical Network Acceleration With Tiny Sets: Hypothesis, Theory, and Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. Guo-Hua Wang, Jianxin Wu
2024	J	`jnl`	Quantization without Tears. CoRR Minghao Fu, Hao Yu, Jie Shao, Junjie Zhou, Ke Zhu, Jianxin Wu
2024	—	`conf`	Rectify the Regression Bias in Long-Tailed Object Detection. ECCV (28) Ke Zhu, Minghao Fu, Jie Shao, Tianyu Liu, Jianxin Wu
2024	J	`jnl`	Rectify the Regression Bias in Long-Tailed Object Detection. CoRR Ke Zhu, Minghao Fu, Jie Shao, Tianyu Liu, Jianxin Wu
2024	J	`jnl`	Reviving Undersampling for Long-Tailed Learning. CoRR Hao Yu, Yingxiao Du, Jianxin Wu
2024	J	`jnl`	Tobias: A Random CNN Sees Objects. IEEE Trans. Pattern Anal. Mach. Intell. Yun-Hao Cao, Jianxin Wu
2024	A*	`conf`	Unified Low-rank Compression Framework for Click-through Rate Prediction. KDD Hao Yu, Minghao Fu, Jiandong Ding, Yusheng Zhou, Jianxin Wu
2024	J	`jnl`	Unified Low-rank Compression Framework for Click-through Rate Prediction. CoRR Hao Yu, Minghao Fu, Jiandong Ding, Yusheng Zhou, Jianxin Wu
2023	J	`jnl`	A unified pruning framework for vision transformers. Sci. China Inf. Sci. Hao Yu, Jianxin Wu
2023	J	`jnl`	Coarse Is Better? A New Pipeline Towards Self-Supervised Learning with Uncurated Images. CoRR Ke Zhu, Yin-Yin He, Jianxin Wu
2023	A*	`conf`	Compressing Transformers: Features Are Low-Rank, but Weights Are Not! AAAI Hao Yu, Jianxin Wu
2023	J	`jnl`	DTL: Disentangled Transfer Learning for Visual Recognition. CoRR Minghao Fu, Ke Zhu, Jianxin Wu
2023	J	`jnl`	Instance-based Max-margin for Practical Few-shot Recognition. CoRR Minghao Fu, Ke Zhu, Jianxin Wu
2023	A*	`conf`	Multi-Label Self-Supervised Learning with Scene Images. ICCV Ke Zhu, Minghao Fu, Jianxin Wu
2023	J	`jnl`	Multi-Label Self-Supervised Learning with Scene Images. CoRR Ke Zhu, Minghao Fu, Jianxin Wu
2023	A*	`conf`	No One Left Behind: Improving the Worst Categories in Long-Tailed Learning. CVPR Yingxiao Du, Jianxin Wu
2023	J	`jnl`	No One Left Behind: Improving the Worst Categories in Long-Tailed Learning. CoRR Yingxiao Du, Jianxin Wu
2023	A*	`conf`	Practical Network Acceleration with Tiny Sets. CVPR Guo-Hua Wang, Jianxin Wu
2023	J	`jnl`	Practical Network Acceleration with Tiny Sets: Hypothesis, Theory, and Algorithm. CoRR Guo-Hua Wang, Jianxin Wu
2023	A*	`conf`	Quantized Feature Distillation for Network Quantization. AAAI Ke Zhu, Yin-Yin He, Jianxin Wu
2023	J	`jnl`	Quantized Feature Distillation for Network Quantization. CoRR Ke Zhu, Yin-Yin He, Jianxin Wu
2023	J	`jnl`	Salvage of Supervision in Weakly Supervised Object Detection and Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Lin Sui, Chen-Lin Zhang, Jianxin Wu
2023	J	`jnl`	Weakly supervised foreground learning for weakly supervised localization and detection. Pattern Recognit. Chen-Lin Zhang, Yin Li, Jianxin Wu
2022	A*	`conf`	A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications. AAAI Yun-Hao Cao, Jianxin Wu
2022	—	`conf`	ActionFormer: Localizing Moments of Actions with Transformers. ECCV (4) Chen-Lin Zhang, Jianxin Wu, Yin Li
2022	J	`jnl`	ActionFormer: Localizing Moments of Actions with Transformers. CoRR Chen-Lin Zhang, Jianxin Wu, Yin Li
2022	A*	`conf`	Compressing Models with Few Samples: Mimicking then Replacing. CVPR Huanyu Wang, Junjie Liu, Xin Ma, Yang Yong, Zhenhua Chai, Jianxin Wu
2022	J	`jnl`	Compressing Models with Few Samples: Mimicking then Replacing. CoRR Huanyu Wang, Junjie Liu, Xin Ma, Yang Yong, Zhenhua Chai, Jianxin Wu
2022	J	`jnl`	Distilling Knowledge by Mimicking Features. IEEE Trans. Pattern Anal. Mach. Intell. Guo-Hua Wang, Yifan Ge, Jianxin Wu
2022	J	`jnl`	ECML: An Ensemble Cascade Metric-Learning Mechanism Toward Face Verification. IEEE Trans. Cybern. Fu Xiong, Yang Xiao, Zhiguo Cao, Yancheng Wang, Joey Tianyi Zhou, Jianxin Wu
2022	J	`jnl`	Fine-Grained Image Analysis With Deep Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Xiu-Shen Wei, Yi-Zhe Song, Oisin Mac Aodha, Jianxin Wu, Yuxin Peng, Jinhui Tang, Jian Yang, Serge J. Belongie
2022	J	`jnl`	PENCIL: Deep Learning with Noisy Labels. CoRR Kun Yi, Guo-Hua Wang, Jianxin Wu
2022	J	`jnl`	Practical Network Acceleration with Tiny Sets. CoRR Guo-Hua Wang, Jianxin Wu
2022	J	`jnl`	R2-D2: Repetitive Reprediction Deep Decipher for Semi-Supervised Deep Learning. CoRR Guo-Hua Wang, Jianxin Wu
2022	A*	`conf`	Salvage of Supervision in Weakly Supervised Object Detection. CVPR Lin Sui, Chen-Lin Zhang, Jianxin Wu
2022	—	`conf`	Synergistic Self-supervised and Quantization Learning. ECCV (30) Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou
2022	J	`jnl`	Synergistic Self-supervised and Quantization Learning. CoRR Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou
2022	J	`jnl`	Training Vision Transformers with Only 2040 Images. CoRR Yun-Hao Cao, Hao Yu, Jianxin Wu
2022	—	`conf`	Training Vision Transformers with only 2040 Images. ECCV (25) Yun-Hao Cao, Hao Yu, Jianxin Wu
2022	J	`jnl`	Versatile, full-spectrum, and swift network sampling for model generation. Pattern Recognit. Huanyu Wang, Yongshun Zhang, Jianxin Wu
2022	—	`conf`	Worst Case Matters for Few-Shot Recognition. ECCV (20) Minghao Fu, Yun-Hao Cao, Jianxin Wu
2022	J	`jnl`	Worst Case Matters for Few-Shot Recognition. CoRR Minghao Fu, Yun-Hao Cao, Jianxin Wu
2021	J	`jnl`	A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications. CoRR Yun-Hao Cao, Jianxin Wu
2021	J	`jnl`	A Unified Pruning Framework for Vision Transformers. CoRR Hao Yu, Jianxin Wu
2021	A*	`conf`	Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks. AAAI Yongshun Zhang, Xiu-Shen Wei, Boyan Zhou, Jianxin Wu
2021	A*	`conf`	Distilling Virtual Examples for Long-tailed Recognition. ICCV Yin-Yin He, Jianxin Wu, Xiu-Shen Wei
2021	J	`jnl`	Distilling Virtual Examples for Long-tailed Recognition. CoRR Yin-Yin He, Jianxin Wu, Xiu-Shen Wei
2021	J	`jnl`	Fine-Grained Image Analysis with Deep Learning: A Survey. CoRR Xiu-Shen Wei, Yi-Zhe Song, Oisin Mac Aodha, Jianxin Wu, Yuxin Peng, Jinhui Tang, Jian Yang, Serge J. Belongie
2021	—	`conf`	Mixup Without Hesitation. ICIG (2) Hao Yu, Huanyu Wang, Jianxin Wu
2021	J	`jnl`	Mixup Without Hesitation. CoRR Hao Yu, Huanyu Wang, Jianxin Wu
2021	J	`jnl`	Multi-Instance Learning With Emerging Novel Class. IEEE Trans. Knowl. Data Eng. Xiu-Shen Wei, Han-Jia Ye, Xin Mu, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
2021	J	`jnl`	Neural random subspace. Pattern Recognit. Yun-Hao Cao, Jianxin Wu, Hanchen Wang, Joan Lasenby
2021	A*	`conf`	Residual Attention: A Simple but Effective Method for Multi-Label Recognition. ICCV Ke Zhu, Jianxin Wu
2021	J	`jnl`	Residual Attention: A Simple but Effective Method for Multi-Label Recognition. CoRR Ke Zhu, Jianxin Wu
2021	J	`jnl`	Rethinking Self-Supervised Learning: Small is Beautiful. CoRR Yun-Hao Cao, Jianxin Wu
2021	J	`jnl`	Salvage of Supervision in Weakly Supervised Detection. CoRR Lin Sui, Chen-Lin Zhang, Jianxin Wu
2021	J	`jnl`	Weakly Supervised Foreground Learning for Weakly Supervised Localization and Detection. CoRR Chen-Lin Zhang, Yin Li, Jianxin Wu
2021	A*	`conf`	Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach. ICCV Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, Heng Tao Shen
2021	J	`jnl`	Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach. CoRR Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, Heng Tao Shen
2020	J	`jnl`	AutoPruner: An end-to-end trainable filter pruning method for efficient deep model inference. Pattern Recognit. Jian-Hao Luo, Jianxin Wu
2020	A*	`conf`	Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification. AAAI Yao Yao, Jiehui Deng, Xiuhua Chen, Chen Gong, Jianxin Wu, Jian Yang
2020	J	`jnl`	In Defense of Feature Mimicking for Knowledge Distillation. CoRR Guo-Hua Wang, Yifan Ge, Jianxin Wu
2020	J	`jnl`	Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation. CoRR Bin-Bin Gao, Xinxin Liu, Hong-Yu Zhou, Jianxin Wu, Xin Geng
2020	A*	`conf`	Neural Network Pruning With Residual-Connections and Limited-Data. CVPR Jian-Hao Luo, Jianxin Wu
2020	A*	`conf`	Repetitive Reprediction Deep Decipher for Semi-Supervised Learning. AAAI Guo-Hua Wang, Jianxin Wu
2020	A*	`conf`	Rethinking the Route Towards Weakly Supervised Object Localization. CVPR Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu
2020	J	`jnl`	Rethinking the Route Towards Weakly Supervised Object Localization. CoRR Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu
2020	J	`jnl`	Simultaneous 3D hand detection and pose estimation using single depth images. Pattern Recognit. Lett. Yu Zhang, Siya Mi, Jianxin Wu, Xin Geng
2019	J	`jnl`	CodeAttention: translating source code to comments by exploiting the code constructs. Frontiers Comput. Sci. Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu
2019	J	`jnl`	Deep Learning for Fine-Grained Image Analysis: A Survey. CoRR Xiu-Shen Wei, Jianxin Wu, Quan Cui
2019	J	`jnl`	Improving CNN linear layers with power mean non-linearity. Pattern Recognit. Chen-Lin Zhang, Jianxin Wu
2019	J	`jnl`	Neural Forest Learning. CoRR Yun-Hao Cao, Jianxin Wu
2019	J	`jnl`	Neural Network Pruning with Residual-Connections and Limited-Data. CoRR Jian-Hao Luo, Jianxin Wu
2019	J	`jnl`	Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples. IEEE Trans. Image Process. Xiu-Shen Wei, Peng Wang, Lingqiao Liu, Chunhua Shen, Jianxin Wu
2019	A*	`conf`	Probabilistic End-To-End Noise Correction for Learning With Noisy Labels. CVPR Kun Yi, Jianxin Wu
2019	J	`jnl`	Repetitive Reprediction Deep Decipher for Semi-Supervised Learning. CoRR Guo-Hua Wang, Jianxin Wu
2019	J	`jnl`	ThiNet: Pruning CNN Filters for a Thinner Net. IEEE Trans. Pattern Anal. Mach. Intell. Jian-Hao Luo, Hao Zhang, Hong-Yu Zhou, Chen-Wei Xie, Jianxin Wu, Weiyao Lin
2019	J	`jnl`	Towards Real-Time Action Recognition on Mobile Devices Using Deep Models. CoRR Chen-Lin Zhang, Xinxin Liu, Jianxin Wu
2019	J	`jnl`	Unsupervised object discovery and co-localization by deep descriptor transformation. Pattern Recognit. Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
2018	A*	`conf`	Action Recognition With Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion. AAAI Weiyao Lin, Chongyang Zhang, Ke Lu, Bin Sheng, Jianxin Wu, Bingbing Ni, Xin Liu, Hongkai Xiong
2018	A*	`conf`	Age Estimation Using Expectation of Label Distribution Learning. IJCAI Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng
2018	J	`jnl`	AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference. CoRR Jian-Hao Luo, Jianxin Wu
2018	—	`conf`	Coarse-to-Fine: A RNN-Based Hierarchical Attention Model for Vehicle Re-identification. ACCV (2) Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu
2018	J	`jnl`	Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification. CoRR Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu
2018	J	`jnl`	Deep Bimodal Regression of Apparent Personality Traits from Short Video Sequences. IEEE Trans. Affect. Comput. Xiu-Shen Wei, Chen-Lin Zhang, Hao Zhang, Jianxin Wu
2018	J	`jnl`	Learning Effective Binary Visual Representations with Deep Networks. CoRR Jianxin Wu, Jian-Hao Luo
2018	J	`jnl`	Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization. Pattern Recognit. Xiu-Shen Wei, Chen-Wei Xie, Jianxin Wu, Chunhua Shen
2018	J	`jnl`	Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples. CoRR Xiu-Shen Wei, Peng Wang, Lingqiao Liu, Chunhua Shen, Jianxin Wu
2017	J	`jnl`	A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories. IEEE Trans. Pattern Anal. Mach. Intell. Weiyao Lin, Yang Zhou, Hongteng Xu, Junchi Yan, Mingliang Xu, Jianxin Wu, Zicheng Liu
2017	J	`jnl`	Action Recognition with Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion. CoRR Weiyao Lin, Yang Mi, Jianxin Wu, Ke Lu, Hongkai Xiong
2017	A*	`conf`	Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors. ICCV Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
2017	J	`jnl`	Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors. CoRR Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
2017	J	`jnl`	An Entropy-based Pruning Method for CNN Compression. CoRR Jian-Hao Luo, Jianxin Wu
2017	J	`jnl`	Code Attention: Translating Code to Comments by Exploiting Domain Features. CoRR Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu
2017	—	`conf`	Content-Based Image Recovery. PCM (2) Hong-Yu Zhou, Jianxin Wu
2017	A*	`conf`	Deep Descriptor Transforming for Image Co-Localization. IJCAI Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
2017	J	`jnl`	Deep Descriptor Transforming for Image Co-Localization. CoRR Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
2017	J	`jnl`	Deep Label Distribution Learning With Label Ambiguity. IEEE Trans. Image Process. Bin-Bin Gao, Chao Xing, Chen-Wei Xie, Jianxin Wu, Xin Geng
2017	J	`jnl`	Editorial of the Special Issue on Multi-instance Learning in Pattern Recognition and Vision. Pattern Recognit. Jianxin Wu, Xiang Bai, Marco Loog, Fabio Roli, Zhi-Hua Zhou
2017	J	`jnl`	Image categorization with resource constraints: introduction, challenges and advances. Frontiers Comput. Sci. Jian-Hao Luo, Wang Zhou, Jianxin Wu
2017	—	`conf`	In Defense of Fully Connected Layers in Visual Representation Transfer. PCM (2) Chen-Lin Zhang, Jian-Hao Luo, Xiu-Shen Wei, Jianxin Wu
2017	J	`jnl`	Learning Correspondence Structures for Person Re-Identification. IEEE Trans. Image Process. Weiyao Lin, Yang Shen, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, Ke Lu
2017	J	`jnl`	Learning Correspondence Structures for Person Re-identification. CoRR Weiyao Lin, Yang Shen, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, Ke Lu
2017	J	`jnl`	Scalable Algorithms for Multi-Instance Learning. IEEE Trans. Neural Networks Learn. Syst. Xiu-Shen Wei, Jianxin Wu, Zhi-Hua Zhou
2017	J	`jnl`	Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval. IEEE Trans. Image Process. Xiu-Shen Wei, Jian-Hao Luo, Jianxin Wu, Zhi-Hua Zhou
2017	J	`jnl`	Sparse multiple instance learning as document classification. Multim. Tools Appl. Shengye Yan, Xiaodong Zhu, Guoqing Liu, Jianxin Wu
2017	J	`jnl`	Structured Learning of Binary Codes with Column Generation for Optimizing Ranking Measures. Int. J. Comput. Vis. Guosheng Lin, Fayao Liu, Chunhua Shen, Jianxin Wu, Heng Tao Shen
2017	A	`conf`	Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition. BMVC Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
2017	J	`jnl`	Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition. CoRR Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
2017	A*	`conf`	ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression. ICCV Jian-Hao Luo, Jianxin Wu, Weiyao Lin
2017	J	`jnl`	ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression. CoRR Jian-Hao Luo, Jianxin Wu, Weiyao Lin
2017	J	`jnl`	Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming. CoRR Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
2016	J	`jnl`	A Diffusion and Clustering-Based Approach for Finding Coherent Motions and Understanding Crowd Scenes. IEEE Trans. Image Process. Weiyao Lin, Yang Mi, Weiyue Wang, Jianxin Wu, Jingdong Wang, Tao Mei
2016	J	`jnl`	A Tube-and-Droplet-based Approach for Representing and Analyzing Motion Trajectories. CoRR Weiyao Lin, Yang Zhou, Hongteng Xu, Junchi Yan, Mingliang Xu, Jianxin Wu, Zicheng Liu
2016	J	`jnl`	A diffusion and clustering-based approach for finding coherent motions and understanding crowd scenes. CoRR Weiyao Lin, Yang Mi, Weiyue Wang, Jianxin Wu, Jingdong Wang, Tao Mei
2016	J	`jnl`	Action Recognition in Still Images With Minimum Annotation Efforts. IEEE Trans. Image Process. Yu Zhang, Li Cheng, Jianxin Wu, Jianfei Cai, Minh N. Do, Jiangbo Lu
2016	J	`jnl`	Compact Representation of High-Dimensional Feature Vectors for Large-Scale Image Recognition and Retrieval. IEEE Trans. Image Process. Yu Zhang, Jianxin Wu, Jianfei Cai
2016	—	`conf`	Deep Bimodal Regression for Apparent Personality Analysis. ECCV Workshops (3) Chen-Lin Zhang, Hao Zhang, Xiu-Shen Wei, Jianxin Wu
2016	J	`jnl`	Deep Label Distribution Learning with Label Ambiguity. CoRR Bin-Bin Gao, Chao Xing, Chen-Wei Xie, Jianxin Wu, Xin Geng
2016	J	`jnl`	Dense CNN Learning with Equivalent Mappings. CoRR Jianxin Wu, Chen-Wei Xie, Jian-Hao Luo
2016	A*	`conf`	Exploit Bounding Box Annotations for Multi-Label Object Recognition. CVPR Hao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao, Jianxin Wu, Jianfei Cai
2016	J	`jnl`	Good Practices for Learning to Recognize Actions Using FV and VLAD. IEEE Trans. Cybern. Jianxin Wu, Yu Zhang, Weiyao Lin
2016	B	`conf`	Learning compact binary codes from higher-order tensors via Free-Form Reshaping and Binarized Multilinear PCA. IJCNN Haiping Lu, Jianxin Wu, Yu Zhang
2016	J	`jnl`	Mask-CNN: Localizing Parts and Selecting Descriptors for Fine-Grained Image Recognition. CoRR Xiu-Shen Wei, Chen-Wei Xie, Jianxin Wu
2016	J	`jnl`	Minimal Gated Unit for Recurrent Neural Networks. CoRR Guo-Bing Zhou, Jianxin Wu, Chen-Lin Zhang, Zhi-Hua Zhou
2016	J	`jnl`	Minimal gated unit for recurrent neural networks. Int. J. Autom. Comput. Guo-Bing Zhou, Jianxin Wu, Chen-Lin Zhang, Zhi-Hua Zhou
2016	A*	`conf`	Representing Sets of Instances for Visual Recognition. AAAI Jianxin Wu, Bin-Bin Gao, Guoqing Liu
2016	J	`jnl`	Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval. CoRR Xiu-Shen Wei, Jian-Hao Luo, Jianxin Wu, Zhi-Hua Zhou
2016	J	`jnl`	Structured Learning of Binary Codes with Column Generation. CoRR Guosheng Lin, Fayao Liu, Chunhua Shen, Jianxin Wu, Heng Tao Shen
2016	J	`jnl`	Weakly Supervised Fine-Grained Categorization With Part-Based Image Representation. IEEE Trans. Image Process. Yu Zhang, Xiu-Shen Wei, Jianxin Wu, Jianfei Cai, Jiangbo Lu, Viet Anh Nguyen, Minh N. Do
2015	J	`jnl`	A Heat-Map-based Algorithm for Recognizing Group Activities in Videos. CoRR Weiyao Lin, Hang Chu, Jianxin Wu, Bin Sheng, Zhenzhong Chen
2015	J	`jnl`	A new network-based algorithm for human activity recognition in video. CoRR Weiyao Lin, Yuanzhe Chen, Jianxin Wu, Hanli Wang, Bin Sheng, Hongxiang Li
2015	J	`jnl`	Automatic Face Naming by Learning Discriminative Affinity Matrices From Weakly Labeled Images. IEEE Trans. Neural Networks Learn. Syst. Shijie Xiao, Dong Xu, Jianxin Wu
2015	J	`jnl`	Can Partial Strong Labels Boost Multi-label Object Recognition? CoRR Hao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao, Jianxin Wu, Jianfei Cai
2015	—	`conf`	Deep Label Distribution Learning for Apparent Age Estimation. ICCV Workshops Xu Yang, Bin-Bin Gao, Chao Xing, Zeng-Wei Huo, Xiu-Shen Wei, Ying Zhou, Jianxin Wu, Xin Geng
2015	—	`conf`	Deep Spatial Pyramid Ensemble for Cultural Event Recognition. ICCV Workshops Xiu-Shen Wei, Bin-Bin Gao, Jianxin Wu
2015	J	`jnl`	Deep Spatial Pyramid: The Devil is Once Again in the Details. CoRR Bin-Bin Gao, Xiu-Shen Wei, Jianxin Wu, Weiyao Lin
2015	J	`jnl`	Facial Expression Cloning with Elastic and Muscle Models. CoRR Yihao Zhang, Weiyao Lin, Bing Zhou, Zhenzhong Chen, Bin Sheng, Jianxin Wu, Wenjun Zhang
2015	J	`jnl`	GROPING: Geomagnetism and cROwdsensing Powered Indoor NaviGation. IEEE Trans. Mob. Comput. Chi Zhang, Kalyan Subbu, Jun Luo, Jianxin Wu
2015	J	`jnl`	Linear Regression-Based Efficient SVM Learning for Large-Scale Classification. IEEE Trans. Neural Networks Learn. Syst. Jianxin Wu, Hao Yang
2015	A*	`conf`	Person Re-Identification with Correspondence Structure Learning. ICCV Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang
2015	J	`jnl`	Person Re-identification with Correspondence Structure Learning. CoRR Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang
2015	—	`conf`	Steerable second order intensity features for pedestrian detection. ACPR Sing Kuang Tan, Tat-Jen Cham, Jianxin Wu
2015	J	`jnl`	Visual Recognition Using Directional Distribution Distance. CoRR Jianxin Wu, Bin-Bin Gao, Guoqing Liu
2015	J	`jnl`	Weakly Supervised Fine-Grained Image Categorization. CoRR Yu Zhang, Xiu-Shen Wei, Jianxin Wu, Jianfei Cai, Jiangbo Lu, Viet Anh Nguyen, Minh N. Do
2014	B	`conf`	A Dual-Sensor Enabled Indoor Localization System with Crowdsensing Spot Survey. DCOSS Chi Zhang, Jun Luo, Jianxin Wu
2014	J	`jnl`	A New Network-Based Algorithm for Human Activity Recognition in Videos. IEEE Trans. Circuits Syst. Video Technol. Weiyao Lin, Yuanzhe Chen, Jianxin Wu, Hanli Wang, Bin Sheng, Hongxiang Li
2014	A*	`conf`	Compact Representation for Image Classification: To Choose or to Compress? CVPR Yu Zhang, Jianxin Wu, Jianfei Cai
2014	J	`jnl`	Facial expression cloning with elastic and muscle models. J. Vis. Commun. Image Represent. Yihao Zhang, Weiyao Lin, Bing Zhou, Zhenzhong Chen, Bin Sheng, Jianxin Wu
2014	—	`conf`	Finding Coherent Motions and Semantic Regions in Crowd Scenes: A Diffusion and Clustering Approach. ECCV (1) Weiyue Wang, Weiyao Lin, Yuanzhe Chen, Jianxin Wu, Jingdong Wang, Bin Sheng
2014	J	`jnl`	Flexible Image Similarity Computation Using Hyper-Spatial Matching. IEEE Trans. Image Process. Yu Zhang, Jianxin Wu, Jianfei Cai, Weiyao Lin
2014	C	`conf`	Learning with Augmented Multi-Instance View. ACML Yue Zhu, Jianxin Wu, Yuan Jiang, Zhi-Hua Zhou
2014	—	`conf`	Optimizing Ranking Measures for Compact Binary Code Learning. ECCV (3) Guosheng Lin, Chunhua Shen, Jianxin Wu
2014	J	`jnl`	Optimizing Ranking Measures for Compact Binary Code Learning. CoRR Guosheng Lin, Chunhua Shen, Jianxin Wu
2014	—	`conf`	Poster abstract: MaWi: a hybrid magnetic and wi-fi system for scalable indoor localization. IPSN Chi Zhang, Jun Luo, Jianxin Wu
2014	A*	`conf`	Representing And Recognizing Motion Trajectories: A Tube And Droplet Approach. ACM Multimedia Yang Zhou, Weiyao Lin, Hang Su, Jianxin Wu, Jinjun Wang, Yu Zhou
2014	A*	`conf`	Scalable Multi-instance Learning. ICDM Xiu-Shen Wei, Jianxin Wu, Zhi-Hua Zhou
2014	A*	`conf`	Towards Good Practices for Action Video Encoding. CVPR Jianxin Wu, Yu Zhang, Weiyao Lin
2014	J	`jnl`	mCENTRIST: A Multi-Channel Feature Generation Mechanism for Scene Categorization. IEEE Trans. Image Process. Yang Xiao, Jianxin Wu, Junsong Yuan
2013	J	`jnl`	${\rm C}^{4}$: A Real-Time Object Detection Framework. IEEE Trans. Image Process. Jianxin Wu, Nini Liu, Christopher Geyer, James M. Rehg
2013	J	`jnl`	A Heat-Map-Based Algorithm for Recognizing Group Activities in Videos. IEEE Trans. Circuits Syst. Video Technol. Weiyao Lin, Hang Chu, Jianxin Wu, Bin Sheng, Zhenzhong Chen
2013	—	`conf`	A New Network-Based Algorithm for Human Group Activity Recognition in Videos. MMM (1) Gaojian Li, Weiyao Lin, Sheng Zhang, Jianxin Wu, Yuanzhe Chen, Hui Wei
2013	—	`conf`	Multi-class Cosegmentation with Pairwise Active Learning. PCM Anran Wang, Hongyuan Zhu, Jianfei Cai, Jianxin Wu
2013	J	`jnl`	Probabilistic classifiers with a generalized Gaussian scale mixture prior. Pattern Recognit. Guoqing Liu, Jianxin Wu, Suiping Zhou
2013	A*	`conf`	Reduced Heteroscedasticity Linear Regression for Nyström Approximation. IJCAI Hao Yang, Jianxin Wu
2013	B	`conf`	Remora: Sensing resource sharing among smartphone-based body sensor networks. IWQoS Matthew Keally, Gang Zhou, Guoliang Xing, Jianxin Wu
2013	C	`conf`	Salient object cutout using Google images. ISCAS Hongyuan Zhu, Jianfei Cai, Jianmin Zheng, Jianxin Wu, Nadia Magnenat-Thalmann
2012	A*	`conf`	A new heat-map-based algorithm for human group activity recognition. ACM Multimedia Hang Chu, Weiyao Lin, Jianxin Wu, Xingtong Zhou, Yuanzhe Chen, Hongxiang Li
2012	—	`ed.`	Advances in Multimedia Information Processing - PCM 2012 - 13th Pacific-Rim Conference on Multimedia, Singapore, December 4-6, 2012. Proceedings PCM Weisi Lin, Dong Xu, Anthony T. S. Ho, Jianxin Wu, Ying He, Jianfei Cai, Mohan S. Kankanhalli, Ming-Ting Sun
2012	J	`jnl`	Efficient HIK SVM Learning for Image Classification. IEEE Trans. Image Process. Jianxin Wu
2012	—	`conf`	Exclusive Visual Descriptor Quantization. ACCV (1) Yu Zhang, Jianxin Wu, Weiyao Lin
2012	C	`conf`	Facial expression mapping based on elastic and muscle-distribution-based models. ISCAS Yihao Zhang, Weiyao Lin, Bin Sheng, Jianxin Wu, Hongxiang Li, Chongyang Zhang
2012	C	`conf`	Key Instance Detection in Multi-Instance Learning. ACML Guoqing Liu, Jianxin Wu, Zhi-Hua Zhou
2012	—	`conf`	Layout-expectation-based Model for Image Search Re-ranking. ICME Workshops Bin Jin, Weiyao Lin, Jianxin Wu, Tianhao Wu, Jun Huang, Chongyang Zhang
2012	—	`conf`	Object Templates for Visual Place Categorization. ACCV (4) Hao Yang, Jianxin Wu
2012	A*	`conf`	Power mean SVM for large scale visual classification. CVPR Jianxin Wu
2012	C	`conf`	Practical Large Scale Classification with Additive Kernels. ACML Hao Yang, Jianxin Wu
2011	—	`conf`	Balance Support Vector Machines Locally Using the Structural Similarity Kernel. PAKDD (1) Jianxin Wu
2011	J	`jnl`	CENTRIST: A Visual Descriptor for Scene Categorization. IEEE Trans. Pattern Anal. Mach. Intell. Jianxin Wu, James M. Rehg
2011	J	`jnl`	Efficient and Effective Visual Codebook Generation Using Additive Kernels. J. Mach. Learn. Res. Jianxin Wu, Wei-Chian Tan, James M. Rehg
2011	A*	`conf`	Exploiting sensing diversity for confident sensing in wireless sensor networks. INFOCOM Matthew Keally, Gang Zhou, Guoliang Xing, Jianxin Wu
2011	—	`ch.`	Face Detection. Handbook of Face Recognition Stan Z. Li, Jianxin Wu
2011	Misc	`conf`	PBN: towards practical activity recognition using smartphone-based body sensor networks. SenSys Matthew Keally, Gang Zhou, Guoliang Xing, Jianxin Wu, Andrew J. Pyles
2011	A*	`conf`	Probit Classifiers with a Generalized Gaussian Scale Mixture Prior. IJCAI Guoqing Liu, Jianxin Wu, Suiping Zhou
2011	A*	`conf`	Real-time human detection using contour cues. ICRA Jianxin Wu, Christopher Geyer, James M. Rehg
2010	—	`conf`	A Fast Dual Method for HIK SVM Learning. ECCV (2) Jianxin Wu
2010	J	`jnl`	Corrigendum to "Ensembling neural networks: Many could be better than all" [Artificial Intelligence 137 (1-2) (2002) 239-263]. Artif. Intell. Zhi-Hua Zhou, Jianxin Wu, Wei Tang
2009	A*	`conf`	Beyond the Euclidean distance: Creating effective visual codebooks using the Histogram Intersection Kernel. ICCV Jianxin Wu, James M. Rehg
2009	J	`jnl`	Exploratory Undersampling for Class-Imbalance Learning. IEEE Trans. Syst. Man Cybern. Part B Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou
2009	A	`conf`	Visual Place Categorization: Problem, dataset, and algorithm. IROS Jianxin Wu, Henrik I. Christensen, James M. Rehg
2008	J	`jnl`	Fast Asymmetric Learning for Cascade Face Detection. IEEE Trans. Pattern Anal. Mach. Intell. Jianxin Wu, S. Charles Brubaker, Matthew D. Mullin, James M. Rehg
2008	J	`jnl`	On the Design of Cascades of Boosted Ensembles for Face Detection. Int. J. Comput. Vis. S. Charles Brubaker, Jianxin Wu, Jie Sun, Matthew D. Mullin, James M. Rehg
2008	A*	`conf`	Where am I: Place instance and category recognition using spatial PACT. CVPR Jianxin Wu, James M. Rehg
2007	A*	`conf`	A Scalable Approach to Activity Recognition based on Object Use. ICCV Jianxin Wu, Adebola Osuntogun, Tanzeem Choudhury, Matthai Philipose, James M. Rehg
2006	A*	`conf`	Exploratory Under-Sampling for Class-Imbalance Learning. ICDM Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou
2006	—	`conf`	Towards the Optimal Training of Cascades of Boosted Ensembles. Toward Category-Level Object Recognition S. Charles Brubaker, Jianxin Wu, Jie Sun, Matthew D. Mullin, James M. Rehg
2005	A*	`conf`	Linear Asymmetric Classifier for cascade detectors. ICML Jianxin Wu, Matthew D. Mullin, James M. Rehg
2003	J	`jnl`	Efficient face candidates selector for face detection. Pattern Recognit. Jianxin Wu, Zhi-Hua Zhou
2003	—	`conf`	Learning a Rare Event Detection Cascade by Direct Feature Selection. NIPS Jianxin Wu, James M. Rehg, Matthew D. Mullin
2002	J	`jnl`	Ensembling neural networks: Many could be better than all. Artif. Intell. Zhi-Hua Zhou, Jianxin Wu, Wei Tang
2002	J	`jnl`	Face recognition with one training image per person. Pattern Recognit. Lett. Jianxin Wu, Zhi-Hua Zhou
2002	—	`—`	Visual place categorization. Jianxin Wu
2001	J	`jnl`	Combining Regression Estimators: GA-Based Selective Neural Network Ensemble. Int. J. Comput. Intell. Appl. Zhi-Hua Zhou, Jianxin Wu, Wei Tang, Zhaoqian Chen
2001	A*	`conf`	Genetic Algorithm based Selective Neural Network Ensemble. IJCAI Zhi-Hua Zhou, Jianxin Wu, Yuan Jiang, Shifu Chen