Jianxin Wu

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 121

Top Venues

CoRR

IEEE Trans. Image Process.

Pattern Recognit.

AAAI

Publications

Hanxiao Zhang, Yifan Zhou, Guo-Hua Wang, Jianxin Wu
Dense Vision Transformer Compression with Few Samples. CoRR (2024)
Hao Yu, Zelan Yang, Shen Li, Yong Li, Jianxin Wu
Effectively Compress KV Heads for LLM. CoRR (2024)
Hao Yu, Jianxin Wu
Compressing Transformers: Features Are Low-Rank, but Weights Are Not! AAAI (2023)
Chen-Lin Zhang, Yin Li, Jianxin Wu
Weakly supervised foreground learning for weakly supervised localization and detection. Pattern Recognit. 137 (2023)
Cunyou Su, Jianxin Wu, Guangjun Jiang, Nan Zhang, Xiaowen Song
Uncertainty analysis of wind speed of wind turbine. Qual. Reliab. Eng. Int. 39 (5) (2023)
Xiping Sun, Xipeng Wu, Qinquan Zhou, Lei Zhang, Jianxin Wu
Airborne Radar Staggered PRF Coherent Processing Method for Down-Looking Target Detection. Remote. Sens. 15 (13) (2023)
Liubo Hu, Jianxin Wu, Lei Zhang
Efficient Transceiving Search Scheme and Implementation Method for Collocated Distributed Coherent Aperture Radar via Grating Lobes Exploitation. Remote. Sens. 15 (9) (2023)
Hao Yu, Jianxin Wu
A unified pruning framework for vision transformers. Sci. China Inf. Sci. 66 (7) (2023)
Yun-Hao Cao, Hao Yu, Jianxin Wu
Training Vision Transformers with Only 2040 Images. CoRR (2022)
Guo-Hua Wang, Jianxin Wu
Practical Network Acceleration with Tiny Sets. CoRR (2022)
Yao Gu, Jianxin Wu, Yuyuan Fang, Lei Zhang, Qiang Zhang
End-to-End Moving Target Indication for Airborne Radar Using Deep Learning. Remote. Sens. 14 (21) (2022)
He Zhang, Linjun Jiang, Jianxin Wu, Tingran Chen, Junzhan Liu, Wang Kang, Weisheng Zhao
CP-SRAM: charge-pulsation SRAM marco for ultra-high energy-efficiency computing-in-memory. DAC (2022)
Kun Liu, Tong Wang, Jianxin Wu, Jinming Chen
A Two-Stage STAP Method Based on Fine Doppler Localization and Sparse Bayesian Learning in the Presence of Arbitrary Array Errors. Sensors 22 (1) (2022)
Kun Liu, Tong Wang, Jianxin Wu, Cheng Liu, Weichen Cui
On the Efficient Implementation of Sparse Bayesian Learning-Based STAP Algorithms. Remote. Sens. 14 (16) (2022)
He Zhang, Junzhan Liu, Jinyu Bai, Sai Li, Lichuan Luo, Shaoqian Wei, Jianxin Wu, Wang Kang
HD-CIM: Hybrid-Device Computing-In-Memory Structure Based on MRAM and SRAM to Reduce Weight Loading Energy of Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 69 (11) (2022)
Guo-Hua Wang, Jianxin Wu
R2-D2: Repetitive Reprediction Deep Decipher for Semi-Supervised Deep Learning. CoRR (2022)
Huanyu Wang, Junjie Liu, Xin Ma, Yang Yong, Zhenhua Chai, Jianxin Wu
Compressing Models with Few Samples: Mimicking then Replacing. CoRR (2022)
Cai Wen, Yan Huang, Jinye Peng, Jianxin Wu, Guimei Zheng, Yuhong Zhang
Slow-Time FDA-MIMO Technique With Application to STAP Radar. IEEE Trans. Aerosp. Electron. Syst. 58 (1) (2022)
Kun Yi, Guo-Hua Wang, Jianxin Wu
PENCIL: Deep Learning with Noisy Labels. CoRR (2022)
Chen-Lin Zhang, Jianxin Wu, Yin Li
ActionFormer: Localizing Moments of Actions with Transformers. CoRR (2022)
Yongshun Zhang, Xiu-Shen Wei, Boyan Zhou, Jianxin Wu
Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks. AAAI (2021)
Li Zhou, Xiao Qu, Ting Zhang, Jianxin Wu, Hao Yin, Hongyan Guan, Yan Luo
Prediction of pediatric activity intensity with wearable sensors and bi-directional LSTM models. Pattern Recognit. Lett. 152 (2021)
Hao Yu, Huanyu Wang, Jianxin Wu
Mixup Without Hesitation. CoRR (2021)
Chen-Lin Zhang, Yin Li, Jianxin Wu
Weakly Supervised Foreground Learning for Weakly Supervised Localization and Detection. CoRR (2021)
Yun-Hao Cao, Jianxin Wu, Hanchen Wang, Joan Lasenby
Neural random subspace. Pattern Recognit. 112 (2021)
Chenhui Li, Jie Zhen, Kanglong Chang, Aigong Xu, Huizhong Zhu, Jianxin Wu
An Indoor Positioning and Tracking Algorithm Based on Angle-of-Arrival Using a Dual-Channel Array Antenna. Remote. Sens. 13 (21) (2021)
Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, Heng Tao Shen
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach. CoRR (2021)
Yun-Hao Cao, Jianxin Wu
A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications. CoRR (2021)
Hao Yu, Huanyu Wang, Jianxin Wu
Mixup Without Hesitation. ICIG (2) (2021)
Yun-Hao Cao, Jianxin Wu
Rethinking Self-Supervised Learning: Small is Beautiful. CoRR (2021)
Yifan Zhou, Yifan Ge, Jianxin Wu
Friends and Foes in Learning from Noisy Labels. CoRR (2021)
Yin-Yin He, Jianxin Wu, Xiu-Shen Wei
Distilling Virtual Examples for Long-tailed Recognition. CoRR (2021)
Xiu-Shen Wei, Han-Jia Ye, Xin Mu, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
Multi-Instance Learning With Emerging Novel Class. IEEE Trans. Knowl. Data Eng. 33 (5) (2021)
Xiu-Shen Wei, Yi-Zhe Song, Oisin Mac Aodha, Jianxin Wu, Yuxin Peng, Jinhui Tang, Jian Yang, Serge J. Belongie
Fine-Grained Image Analysis with Deep Learning: A Survey. CoRR (2021)
Lin Sui, Chen-Lin Zhang, Jianxin Wu
Salvage of Supervision in Weakly Supervised Detection. CoRR (2021)
Ke Zhu, Jianxin Wu
Residual Attention: A Simple but Effective Method for Multi-Label Recognition. CoRR (2021)
Hao Yu, Jianxin Wu
A Unified Pruning Framework for Vision Transformers. CoRR (2021)
Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu
Rethinking the Route Towards Weakly Supervised Object Localization. CoRR (2020)
Guo-Hua Wang, Jianxin Wu
Repetitive Reprediction Deep Decipher for Semi-Supervised Learning. AAAI (2020)
Guo-Hua Wang, Yifan Ge, Jianxin Wu
In Defense of Feature Mimicking for Knowledge Distillation. CoRR (2020)
Fuyu Tao, Tong Wang, Jianxin Wu, Xuefang Lin
A novel KA-STAP method based on Mahalanobis distance metric learning. Digit. Signal Process. 97 (2020)
Jian-Hao Luo, Jianxin Wu
AutoPruner: An end-to-end trainable filter pruning method for efficient deep model inference. Pattern Recognit. 107 (2020)
Yao Yao, Jiehui Deng, Xiuhua Chen, Chen Gong, Jianxin Wu, Jian Yang
Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification. AAAI (2020)
Jian-Hao Luo, Jianxin Wu
Neural Network Pruning With Residual-Connections and Limited-Data. CVPR (2020)
Bin-Bin Gao, Xinxin Liu, Hong-Yu Zhou, Jianxin Wu, Xin Geng
Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation. CoRR (2020)
Yang Zhao, Jianxin Wu, Zhiyong Suo, Xiaoyu Liu
Fast Implementation of Approximated Maximum Likelihood Parameter Estimation for Frequency Agile Radar under Jamming Environment. Sensors 20 (7) (2020)
Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu
Rethinking the Route Towards Weakly Supervised Object Localization. CVPR (2020)
Yi Liang, Yanfeng Dang, Guofei Li, Jianxin Wu, Mengdao Xing
A Two-Step Processing Method for Diving-Mode Squint SAR Imaging With Subaperture Data. IEEE Trans. Geosci. Remote. Sens. 58 (2) (2020)
Yu Zhang, Siya Mi, Jianxin Wu, Xin Geng
Simultaneous 3D hand detection and pose estimation using single depth images. Pattern Recognit. Lett. 140 (2020)
Yi Liang, Guofei Li, Gang Zhang, Cong Xiang, Jianxin Wu
A Nonparametric Paired Echo Suppression Method for Helicopter-Borne SAR Imaging. IEEE Geosci. Remote. Sens. Lett. 17 (12) (2020)
Kun Yi, Jianxin Wu
Probabilistic End-To-End Noise Correction for Learning With Noisy Labels. CVPR (2019)
Xiu-Shen Wei, Peng Wang, Lingqiao Liu, Chunhua Shen, Jianxin Wu
Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples. IEEE Trans. Image Process. 28 (12) (2019)
Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu
CodeAttention: translating source code to comments by exploiting the code constructs. Frontiers Comput. Sci. 13 (3) (2019)
Xiu-Shen Wei, Jianxin Wu, Quan Cui
Deep Learning for Fine-Grained Image Analysis: A Survey. CoRR (2019)
Yun-Hao Cao, Jianxin Wu
Neural Forest Learning. CoRR (2019)
Jian-Hao Luo, Jianxin Wu
Neural Network Pruning with Residual-Connections and Limited-Data. CoRR (2019)
Chen-Lin Zhang, Jianxin Wu
Improving CNN linear layers with power mean non-linearity. Pattern Recognit. 89 (2019)
Chen-Lin Zhang, Xinxin Liu, Jianxin Wu
Towards Real-Time Action Recognition on Mobile Devices Using Deep Models. CoRR (2019)
Jian-Hao Luo, Hao Zhang, Hong-Yu Zhou, Chen-Wei Xie, Jianxin Wu, Weiyao Lin
ThiNet: Pruning CNN Filters for a Thinner Net. IEEE Trans. Pattern Anal. Mach. Intell. 41 (10) (2019)
Xiao Qu, Jianxin Wu, Ting Zhang, Hongyan Guan
An Open Dataset of Pediatric Activity and Energy Expediture and Deep Learning Approach for Analysis. ICHI (2019)
Guo-Hua Wang, Jianxin Wu
Repetitive Reprediction Deep Decipher for Semi-Supervised Learning. CoRR (2019)
Cai Wen, Mingliang Tao, Jinye Peng, Jianxin Wu, Tong Wang
Clutter suppression for airborne FDA-MIMO radar using multi-waveform adaptive processing and auxiliary channel STAP. Signal Process. 154 (2019)
Kun Yi, Jianxin Wu
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels. CoRR (2019)
Cai Wen, Changzheng Ma, Jinye Peng, Jianxin Wu
Bistatic FDA-MIMO radar space-time adaptive processing. Signal Process. 163 (2019)
Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
Unsupervised object discovery and co-localization by deep descriptor transformation. Pattern Recognit. 88 (2019)
Cai Wen, Yan Huang, Jianxin Wu, Jinye Peng, Yan Zhou, Jie Liu
Cognitive Anti-Deception-Jamming for Airborne Array Radar via Phase-Only Pattern Notching With Nested ADMM. IEEE Access 7 (2019)
Jianxin Wu, Jian-Hao Luo
Learning Effective Binary Visual Representations with Deep Networks. CoRR (2018)
Chen-Wei Xie, Hong-Yu Zhou, Jianxin Wu
Vortex Pooling: Improving Context Representation in Semantic Segmentation. CoRR (2018)
Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu
Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification. CoRR (2018)
Xiu-Shen Wei, Peng Wang, Lingqiao Liu, Chunhua Shen, Jianxin Wu
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples. CoRR (2018)
Xiu-Shen Wei, Chen-Wei Xie, Jianxin Wu, Chunhua Shen
Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization. Pattern Recognit. 76 (2018)
Hong-Yu Zhou, Avital Oliver, Jianxin Wu, Yefeng Zheng
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets. CoRR (2018)
Weiyao Lin, Chongyang Zhang, Ke Lu, Bin Sheng, Jianxin Wu, Bingbing Ni, Xin Liu, Hongkai Xiong
Action Recognition With Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion. AAAI (2018)
Jian-Hao Luo, Jianxin Wu
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference. CoRR (2018)
Xiu-Shen Wei, Chen-Lin Zhang, Hao Zhang, Jianxin Wu
Deep Bimodal Regression of Apparent Personality Traits from Short Video Sequences. IEEE Trans. Affect. Comput. 9 (3) (2018)
Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu
Coarse-to-Fine: A RNN-Based Hierarchical Attention Model for Vehicle Re-identification. ACCV (2) (2018)
Fuyu Tao, Tong Wang, Jianxin Wu, Yuyu Su
A knowledge aided SPICE space time adaptive processing method for airborne radar with conformal array. Signal Process. 152 (2018)
Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng
Age Estimation Using Expectation of Label Distribution Learning. IJCAI (2018)
Guosheng Lin, Fayao Liu, Chunhua Shen, Jianxin Wu, Heng Tao Shen
Structured Learning of Binary Codes with Column Generation for Optimizing Ranking Measures. Int. J. Comput. Vis. 123 (2) (2017)
Jianxin Wu, Xiang Bai, Marco Loog, Fabio Roli, Zhi-Hua Zhou
Editorial of the Special Issue on Multi-instance Learning in Pattern Recognition and Vision. Pattern Recognit. 71 (2017)
Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu
Code Attention: Translating Code to Comments by Exploiting Domain Features. CoRR (2017)
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors. CoRR (2017)
Xiu-Shen Wei, Jian-Hao Luo, Jianxin Wu, Zhi-Hua Zhou
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval. IEEE Trans. Image Process. 26 (6) (2017)
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition. CoRR (2017)
Weiyao Lin, Yang Mi, Jianxin Wu, Ke Lu, Hongkai Xiong
Action Recognition with Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion. CoRR (2017)
Weiyao Lin, Yang Shen, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, Ke Lu
Learning Correspondence Structures for Person Re-Identification. IEEE Trans. Image Process. 26 (5) (2017)
Jian-Hao Luo, Jianxin Wu, Weiyao Lin
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression. CoRR (2017)
Shengye Yan, Xiaodong Zhu, Guoqing Liu, Jianxin Wu
Sparse multiple instance learning as document classification. Multim. Tools Appl. 76 (3) (2017)
Shi Yan, Haoyan Ma, Peng Li, Gangbing Song, Jianxin Wu
Development and Application of a Structural Health Monitoring System Based on Wireless Smart Aggregates. Sensors 17 (7) (2017)
Weiyao Lin, Yang Zhou, Hongteng Xu, Junchi Yan, Mingliang Xu, Jianxin Wu, Zicheng Liu
A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories. IEEE Trans. Pattern Anal. Mach. Intell. 39 (8) (2017)
Weiyao Lin, Yang Shen, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, Ke Lu
Learning Correspondence Structures for Person Re-identification. CoRR (2017)
Jian-Hao Luo, Wang Zhou, Jianxin Wu
Image categorization with resource constraints: introduction, challenges and advances. Frontiers Comput. Sci. 11 (1) (2017)
Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming. CoRR (2017)
Xiu-Shen Wei, Jianxin Wu, Zhi-Hua Zhou
Scalable Algorithms for Multi-Instance Learning. IEEE Trans. Neural Networks Learn. Syst. 28 (4) (2017)
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors. ICCV (2017)
Chen-Lin Zhang, Jian-Hao Luo, Xiu-Shen Wei, Jianxin Wu
In Defense of Fully Connected Layers in Visual Representation Transfer. PCM (2) (2017)
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition. BMVC (2017)
Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
Deep Descriptor Transforming for Image Co-Localization. IJCAI (2017)
Hong-Yu Zhou, Jianxin Wu
Content-Based Image Recovery. PCM (2) (2017)
Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
Deep Descriptor Transforming for Image Co-Localization. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jianxin Wu