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ORCIDLe Zhang 0001
Person information
- affiliation: University of Electronic Science and Technology of China, UESTC, School of Information and Communication Engineering, Chengdu, China
- affiliation: Agency for Science Technology and Research (A*STAR), Singapore
- affiliation (former): University of Illinois at Urbana-Champaign, Advanced Digital Sciences Center, Singapore
- affiliation (PhD 2016): Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
Other persons with the same name
- Le Zhang — disambiguation page
- Le Zhang 0002 — Raytheon BBN Technologies, Cambridge, MA, USA
- Le Zhang 0003
![[0000-0002-9701-1923]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9701-1923")
— Xi'an Jiaotong University, State Key Laboratory of Electrical Insualtion and Power Equipment, China (and 1 more) - Le Zhang 0004 — Sichuan University, College of Computer Science, Chengdu, China (and 1 more)
- Le Zhang 0005 — University College London, London, UK (and 1 more)
- Le Zhang 0006 — Iowa State University, Department of Electrical and Computer Engineering, Ames, IA, USA
- Le Zhang 0007 — Shenyang University, School of Information Engineering, China
- Le Zhang 0008 — Xi'an Jiaotong University, School of Aerospace, China
- Le Zhang 0010 — Baidu Inc., China (and 1 more)
- Le Zhang 0011 — Xi'an Jiaotong University, School of Mechanical Engineering, China
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2020 – today
- 2024
[j68]Yun Liu, Yu-Huan Wu, Guolei Sun, Le Zhang, Ajad Chhatkuli, Luc Van Gool:
Vision Transformers with Hierarchical Attention. Mach. Intell. Res. 21(4): 670-683 (2024)- [j67]Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu:
Deep negative correlation classification. Mach. Learn. 113(10): 7223-7241 (2024) - [j66]Tian Gao, Chengzhong Xu, Le Zhang, Hui Kong:
GSB: Group superposition binarization for vision transformer with limited training samples. Neural Networks 172: 106133 (2024) - [j65]Aiping Huang, Zihan Fang, Zhihao Wu, Yanchao Tan, Peng Han, Shiping Wang, Le Zhang:
Multi-view heterogeneous graph learning with compressed hypergraph neural networks. Neural Networks 179: 106562 (2024) - [j64]Yu Qiu, Yun Liu, Le Zhang, Haotian Lu, Jing Xu:
Boosting Salient Object Detection With Transformer-Based Asymmetric Bilateral U-Net. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2332-2345 (2024) - [j63]Aiping Huang, Lijian Li, Le Zhang, Yuzhen Niu, Tiesong Zhao, Chia-Wen Lin:
Multi-View Graph Embedding Learning for Image Co-Segmentation and Co-Localization. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4942-4956 (2024) - [j62]Jianxi Yang, Hao Li, Le Zhang, Lu Zhao, Shixin Jiang, Hong Xie:
Multilabel Concrete Bridge Damage Classification Using Graph Convolution. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j61]Bing Li, Wei Cui, Le Zhang, Qi Yang, Min Wu, Joey Tianyi Zhou:
Democratizing Federated WiFi-Based Human Activity Recognition Using Hypothesis Transfer. IEEE Trans. Mob. Comput. 23(12): 15132-15148 (2024) - [j60]Wei Meng, Zhicong Liu, Bing Li, Wei Cui, Joey Tianyi Zhou, Le Zhang:
GrapHAR: A Lightweight Human Activity Recognition Model by Exploring the Sub-Carrier Correlations. IEEE Trans. Wirel. Commun. 23(4): 2755-2770 (2024) - [c38]Boyuan Sun, Yuqi Yang, Le Zhang, Ming-Ming Cheng, Qibin Hou:
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation. CVPR 2024: 3097-3107 - [c37]Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C, Xingzhuo Yan, Wei Hao, Minghan Fu, Pooja Choksy, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Hailong Yan, Yunkai Zhang, Baiang Li, Jingyi Zhang, Huan Zheng:
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CVPR Workshops 2024: 6571-6594 - [c36]Ping Chen, Xingpeng Zhang, Chengtao Zhou, Dichao Fan, Peng Tu, Le Zhang, Yanlin Qian:
Learning Triangular Distribution in Visual World. CVPR 2024: 11019-11029 - [c35]Haolin He, Ce Zhu, Le Zhang, Yipeng Liu, Xiao Xu, Yuqian Chen, Leo R. Zekelman, Jarrett Rushmore, Yogesh Rathi, Nikos Makris, Lauren J. O'Donnell, Fan Zhang:
A Novel Deep Clustering Framework for Fine-Scale Parcellation of Amygdala Using DMRI Tractography. ISBI 2024: 1-5 - [i35]Xiangtao Zhang, Eleftherios Kofidis, Ce Zhu, Le Zhang, Yipeng Liu:
Federated Learning Using Coupled Tensor Train Decomposition. CoRR abs/2403.02898 (2024) - [i34]Xiaoning Liu, Ao Li, Zongwei Wu, Yapeng Du, Le Zhang, Yulun Zhang, Radu Timofte, Ce Zhu:
PASTA: Towards Flexible and Efficient HDR Imaging Via Progressively Aggregated Spatio-Temporal Aligment. CoRR abs/2403.10376 (2024) - [i33]Zhiwei Lin, Zhe Liu, Zhongyu Xia, Xinhao Wang, Yongtao Wang, Shengxiang Qi, Yang Dong, Nan Dong, Le Zhang, Ce Zhu:
RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object Detection. CoRR abs/2403.16440 (2024) - [i32]Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C:
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CoRR abs/2404.14248 (2024) - [i31]Zenglin Shi, Tong Su, Pei Liu, Yunpeng Wu, Le Zhang, Meng Wang:
Learning Frequency-Aware Dynamic Transformers for All-In-One Image Restoration. CoRR abs/2407.01636 (2024) - [i30]Qian Zeng, Le Zhang, Yipeng Liu, Ce Zhu, Fan Zhang:
Graph-Guided Test-Time Adaptation for Glaucoma Diagnosis using Fundus Photography. CoRR abs/2407.04396 (2024) - [i29]Zhiwei Lin, Zhe Liu, Yongtao Wang, Le Zhang, Ce Zhu:
RCBEVDet++: Toward High-accuracy Radar-Camera Fusion 3D Perception Network. CoRR abs/2409.04979 (2024) - [i28]Chenjun Li, Dian Yang, Shun Yao, Shuyue Wang, Ye Wu, Le Zhang, Qiannuo Li, Kang Ik Kevin Cho, Johanna Seitz-Holland, Lipeng Ning, Jon Haitz Legarreta, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell, Nir A. Sochen, Ofer Pasternak, Fan Zhang:
EVENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI. CoRR abs/2409.07020 (2024) - 2023
- [j59]Chao Ma, Tianjun Wang, Le Zhang, Zhiguang Cao, Yue Huang, Xinghao Ding:
Distributed representation learning with skip-gram model for trained random forests. Neurocomputing 551: 126434 (2023) - [j58]Cuong Manh Nguyen, Arun Raja, Le Zhang, Xun Xu, Balagopal Unnikrishnan, Mohamed Ragab, Kangkang Lu, Chuan-Sheng Foo:
Diverse and consistent multi-view networks for semi-supervised regression. Mach. Learn. 112(7): 2359-2395 (2023) - [j57]Bing Li, Wei Cui, Le Zhang, Ce Zhu, Wei Wang, Ivor W. Tsang, Joey Tianyi Zhou:
DifFormer: Multi-Resolutional Differencing Transformer With Dynamic Ranging for Time Series Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13586-13598 (2023) - [j56]Le Zhang, Wei Cui, Bing Li, Zhenghua Chen, Min Wu, Teo Sin Gee:
Privacy-Preserving Cross-Environment Human Activity Recognition. IEEE Trans. Cybern. 53(3): 1765-1775 (2023) - [j55]Ke Xu, Jiangtao Wang, Le Zhang, Hongyuan Zhu, Dingchang Zheng:
Dual-Stream Contrastive Learning for Channel State Information Based Human Activity Recognition. IEEE J. Biomed. Health Informatics 27(1): 329-338 (2023) - [j54]Hanxiao Li, Kaizhou Gao, Pei-Yong Duan, Jun-Qing Li, Le Zhang:
An Improved Artificial Bee Colony Algorithm With Q-Learning for Solving Permutation Flow-Shop Scheduling Problems. IEEE Trans. Syst. Man Cybern. Syst. 53(5): 2684-2693 (2023) - [c34]Ao Li, Le Zhang, Yun Liu, Ce Zhu:
Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution. ICCV 2023: 12480-12490 - [c33]Shanghang Jiang, Shichao Zhao, Meng Wu, Le Zhang, Feng Zhou:
Overlap Loss: Rethinking Weakly Supervised Instance Segmentation in Crowded Scenes. ICIP 2023: 2905-2909 - [c32]Ziyang He, Lei Luo, Le Zhang, Hongwei Guo, Ce Zhu:
Efficient Lightweight Attention Based Learned Image Compression. VCIP 2023: 1-5 - [i27]Tian Gao, Cheng-Zhong Xu, Le Zhang, Hui Kong:
GSB: Group Superposition Binarization for Vision Transformer with Limited Training Samples. CoRR abs/2305.07931 (2023) - [i26]Boyuan Sun, Yuqi Yang, Weifeng Yuan, Le Zhang, Ming-Ming Cheng, Qibin Hou:
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation. CoRR abs/2306.04300 (2023) - [i25]Ao Li, Le Zhang, Yun Liu, Ce Zhu:
Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution. CoRR abs/2308.05022 (2023) - [i24]Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen:
Low-Resolution Self-Attention for Semantic Segmentation. CoRR abs/2310.05026 (2023) - [i23]Ping Chen, Xingpeng Zhang, Chengtao Zhou, Dichao Fan, Peng Tu, Le Zhang, Yanlin Qian:
Learning Triangular Distribution in Visual World. CoRR abs/2311.18605 (2023) - 2022
- [j53]Yun Liu, Ming-Ming Cheng, Deng-Ping Fan, Le Zhang, Jia-Wang Bian, Dacheng Tao:
Semantic Edge Detection with Diverse Deep Supervision. Int. J. Comput. Vis. 130(1): 179-198 (2022) - [j52]Zhenyu Zhou, Chen Liu, Zhao Wang, Lei Lv, Le Zhang, Xing Li, Xiaoyan Wang, Wenwen Sun, Guoqing He, Yun Liu:
DRL-Assisted Topology Identification and Time Synchronization for PIoT-Empowered Distributed Renewable Resource Dispatch. IEEE Internet Things Mag. 5(2): 13-19 (2022) - [j51]Joey Tianyi Zhou, Le Zhang, Jiawei Du, Xi Peng, Zhiwen Fang, Zhe Xiao, Hongyuan Zhu:
Locality-Aware Crowd Counting. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3602-3613 (2022) - [j50]Le Zhang, Songyou Peng, Stefan Winkler:
PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship. IEEE Trans. Affect. Comput. 13(1): 298-305 (2022) - [j49]Xun Xu, Le Zhang, Loong-Fah Cheong, Zhuwen Li, Ce Zhu:
Learning Clustering for Motion Segmentation. IEEE Trans. Circuits Syst. Video Technol. 32(3): 908-919 (2022) - [j48]Cen Chen, Xiaofeng Zou, Zeng Zeng, Zhongyao Cheng, Le Zhang, Steven C. H. Hoi:
Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains. IEEE Trans. Cybern. 52(2): 1233-1246 (2022) - [j47]Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng, Bo Ren:
EDN: Salient Object Detection via Extremely-Downsampled Network. IEEE Trans. Image Process. 31: 3125-3136 (2022) - [j46]Zeyu Jiang, Xun Xu, Le Zhang, Chao Zhang, Chuan Sheng Foo, Ce Zhu:
MA-GANet: A Multi-Attention Generative Adversarial Network for Defocus Blur Detection. IEEE Trans. Image Process. 31: 3494-3508 (2022) - [j45]Wei Cui, Le Zhang, Bing Li, Zhenghua Chen, Min Wu, Xiaoli Li, Jiawen Kang:
Semi-Supervised Deep Adversarial Forest for Cross-Environment Localization. IEEE Trans. Veh. Technol. 71(9): 10215-10219 (2022) - [c31]Guolei Sun, Yun Liu, Hao Tang, Ajad Chhatkuli, Le Zhang, Luc Van Gool:
Mining Relations Among Cross-Frame Affinities for Video Semantic Segmentation. ECCV (34) 2022: 522-539 - [c30]Fanxing Liu, Cheng Zeng, Le Zhang, Yingjie Zhou, Qing Mu, Yanru Zhang, Ling Zhang, Ce Zhu:
FedTADBench: Federated Time-series Anomaly Detection Benchmark. HPCC/DSS/SmartCity/DependSys 2022: 303-310 - [c29]Gang Xu, Qibin Hou, Le Zhang, Ming-Ming Cheng:
FMNet: Frequency-Aware Modulation Network for SDR-to-HDR Translation. ACM Multimedia 2022: 6425-6435 - [i22]Guolei Sun, Yun Liu, Hao Tang, Ajad Chhatkuli, Le Zhang, Luc Van Gool:
Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation. CoRR abs/2207.10436 (2022) - [i21]Yu-Huan Wu, Da Zhang, Le Zhang, Xin Zhan, Dengxin Dai, Yun Liu, Ming-Ming Cheng:
Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes. CoRR abs/2208.08621 (2022) - [i20]Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu:
Deep Negative Correlation Classification. CoRR abs/2212.07070 (2022) - [i19]Fanxing Liu, Cheng Zeng, Le Zhang, Yingjie Zhou, Qing Mu, Yanru Zhang, Ling Zhang, Ce Zhu:
FedTADBench: Federated Time-Series Anomaly Detection Benchmark. CoRR abs/2212.09518 (2022) - 2021
- [j44]Wei Cui, Bing Li, Le Zhang, Zhenghua Chen:
Device-free single-user activity recognition using diversified deep ensemble learning. Appl. Soft Comput. 102: 107066 (2021) - [j43]Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Zhichao Li, Le Zhang, Chunhua Shen, Ming-Ming Cheng, Ian Reid:
Unsupervised Scale-Consistent Depth Learning from Video. Int. J. Comput. Vis. 129(9): 2548-2564 (2021) - [j42]Jianxi Yang, Fei Yang, Likai Zhang, Ren Li, Shixin Jiang, Guiping Wang, Le Zhang, Zeng Zeng:
Bridge health anomaly detection using deep support vector data description. Neurocomputing 444: 170-178 (2021) - [j41]Xiaoli Li, Peilin Zhao, Min Wu, Zhenghua Chen, Le Zhang:
Deep learning for human activity recognition. Neurocomputing 444: 214-216 (2021) - [j40]Le Zhang, Ying Wang, HaiShun Chen, Jie Li, Zhenxi Zhang:
Visual relationship detection with region topology structure. Inf. Sci. 564: 384-395 (2021) - [j39]Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng:
Nonlinear Regression via Deep Negative Correlation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 982-998 (2021) - [j38]Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen:
Ordered or Orderless: A Revisit for Video Based Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1460-1466 (2021) - [j37]Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng:
Correction to "Nonlinear Regression via Deep Negative Correlation Learning". IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 2172 (2021) - [j36]Yun Liu, Xin-Yu Zhang, Jia-Wang Bian, Le Zhang, Ming-Ming Cheng:
SAMNet: Stereoscopically Attentive Multi-Scale Network for Lightweight Salient Object Detection. IEEE Trans. Image Process. 30: 3804-3814 (2021) - [j35]Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, Ming-Ming Cheng:
Regularized Densely-Connected Pyramid Network for Salient Instance Segmentation. IEEE Trans. Image Process. 30: 3897-3907 (2021) - [c28]Bing Li, Wei Cui, Wei Wang, Le Zhang, Zhenghua Chen, Min Wu:
Two-Stream Convolution Augmented Transformer for Human Activity Recognition. AAAI 2021: 286-293 - [c27]Wanyue Zhang, Xun Xu, Fayao Liu, Le Zhang, Chuan Sheng Foo:
On Automatic Data Augmentation for 3D Point Cloud Classification. BMVC 2021: 392 - [c26]Zaifeng Yang, Yubo Hou, Zhenghua Chen, Le Zhang, Jie Chen:
A Multi-Stage Progressive Learning Strategy for Covid-19 Diagnosis Using Chest Computed Tomography with Imbalanced Data. ICASSP 2021: 8578-8582 - [c25]Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang:
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer. NeurIPS 2021: 11096-11107 - [p1]Le Zhang, Jagannadan Varadarajan, Yong Pei, Zhenghua Chen:
Hierarchically Aggregated Deep Convolutional Neural Networks for Action Recognition. Generalization with Deep Learning 2021: 31-53 - [i18]Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Zhichao Li, Le Zhang, Chunhua Shen, Ming-Ming Cheng, Ian D. Reid:
Unsupervised Scale-consistent Depth Learning from Video. CoRR abs/2105.11610 (2021) - [i17]Yun Liu, Guolei Sun, Yu Qiu, Le Zhang, Ajad Chhatkuli, Luc Van Gool:
Transformer in Convolutional Neural Networks. CoRR abs/2106.03180 (2021) - [i16]Yu Qiu, Yun Liu, Le Zhang, Jing Xu:
Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net. CoRR abs/2108.07851 (2021) - [i15]Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang:
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer. CoRR abs/2110.02544 (2021) - [i14]Wanyue Zhang, Xun Xu, Fayao Liu, Le Zhang, Chuan-Sheng Foo:
On Automatic Data Augmentation for 3D Point Cloud Classification. CoRR abs/2112.06029 (2021) - 2020
- [j34]Jia-Wang Bian, Wen-Yan Lin, Yun Liu, Le Zhang, Sai-Kit Yeung, Ming-Ming Cheng, Ian Reid:
GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence. Int. J. Comput. Vis. 128(6): 1580-1593 (2020) - [j33]Le Zhang, Zhenghua Chen, Wei Cui, Bing Li, Cen Chen, Zhiguang Cao, Kaizhou Gao:
WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests. IEEE Internet Things J. 7(11): 10773-10781 (2020) - [j32]Zhiguang Cao, Yaoxin Wu, Akshay Rao, Felix Klanner, Stefan Erschen, Wei Chen, Le Zhang, Hongliang Guo:
An Accurate Solution to the Cardinality-Based Punctuality Problem. IEEE Intell. Transp. Syst. Mag. 12(4): 78-91 (2020) - [j31]Rakesh Katuwal, Ponnuthurai N. Suganthan, Le Zhang:
Heterogeneous oblique random forest. Pattern Recognit. 99 (2020) - [j30]Joey Tianyi Zhou, Le Zhang, Zhiwen Fang, Jiawei Du, Xi Peng, Yang Xiao:
Attention-Driven Loss for Anomaly Detection in Video Surveillance. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4639-4647 (2020) - [j29]Zhenghua Chen, Yanbing Yang, Chaoyang Jiang, Jie Hao, Le Zhang:
Light Sensor Based Occupancy Estimation via Bayes Filter With Neural Networks. IEEE Trans. Ind. Electron. 67(7): 5787-5797 (2020) - [j28]Zhiguang Cao, Hongliang Guo, Wen Song, Kaizhou Gao, Zhenghua Chen, Le Zhang, Xuexi Zhang:
Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation. IEEE Trans. Veh. Technol. 69(3): 2424-2436 (2020) - [i13]Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, Ming-Ming Cheng:
Regularized Densely-connected Pyramid Network for Salient Instance Segmentation. CoRR abs/2008.12416 (2020) - [i12]Yuchao Gu, Le Zhang, Yun Liu, Shao-Ping Lu, Ming-Ming Cheng:
Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow. CoRR abs/2009.00303 (2020) - [i11]Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng:
EDN: Salient Object Detection via Extremely-Downsampled Network. CoRR abs/2012.13093 (2020)
2010 – 2019
- 2019
- [j27]Qingqing Wang, Hong Liu, Kaizhou Gao, Le Zhang:
Improved Multi-Agent Reinforcement Learning for Path Planning-Based Crowd Simulation. IEEE Access 7: 73841-73855 (2019) - [j26]Kaizhou Gao, Zhiguang Cao, Le Zhang, Zhenghua Chen, Yuyan Han, Quanke Pan:
A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems. IEEE CAA J. Autom. Sinica 6(4): 904-916 (2019) - [j25]Wei Chen, Tingbo Liao, Zhihang Li, Haozhi Lin, Hong Xue, Le Zhang, Jing Guo, Zhiguang Cao:
Using FTOC to track shuttlecock for the badminton robot. Neurocomputing 334: 182-196 (2019) - [j24]Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Jia-Wang Bian, Le Zhang, Xiang Bai, Jinhui Tang:
Richer Convolutional Features for Edge Detection. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1939-1946 (2019) - [j23]Zeng Zeng, Xulei Yang, Yu Qiyun, Yao Meng, Le Zhang:
SeSe-Net: Self-Supervised deep learning for segmentation. Pattern Recognit. Lett. 128: 23-29 (2019) - [j22]Wei Cui, Bing Li, Le Zhang, Wei Meng:
Robust Mobile Location Estimation in NLOS Environment Using GMM, IMM, and EKF. IEEE Syst. J. 13(3): 3490-3500 (2019) - [j21]Zhenghua Chen, Le Zhang, Chaoyang Jiang, Zhiguang Cao, Wei Cui:
WiFi CSI Based Passive Human Activity Recognition Using Attention Based BLSTM. IEEE Trans. Mob. Comput. 18(11): 2714-2724 (2019) - [j20]Rim Trabelsi, Jagannadan Varadarajan, Le Zhang, Issam Jabri, Yong Pei, Fethi Smach, Ammar Bouallegue, Pierre Moulin:
Understanding the Dynamics of Social Interactions: A Multi-Modal Multi-View Approach. ACM Trans. Multim. Comput. Commun. Appl. 15(1s): 15:1-15:16 (2019) - [c24]Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, Xulei Yang, Le Zhang, Zeng Zeng:
Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation. BHI 2019: 1-4 - [c23]Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian Reid:
An Evaluation of Feature Matchers for Fundamental Matrix Estimation. BMVC 2019: 25 - [c22]Jiaxing Zhao, Yang Cao, Deng-Ping Fan, Ming-Ming Cheng, Xuan-Yi Li, Le Zhang:
Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection. CVPR 2019: 3927-3936 - [c21]Le Zhang, Jagannadan Varadarajan, Yong Pei:
Action Recognition Using Co-trained Deep Convolutional Neural Networks. IJCAI 2019: 155-172 - [i10]Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, Xulei Yang, Le Zhang, Zeng Zeng:
Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation. CoRR abs/1903.04778 (2019) - [i9]Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng:
Robust Regression via Deep Negative Correlation Learning. CoRR abs/1908.09066 (2019) - [i8]Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian D. Reid:
An Evaluation of Feature Matchers forFundamental Matrix Estimation. CoRR abs/1908.09474 (2019) - [i7]Xin-Yu Zhang, Le Zhang, Zao-Yi Zheng, Yun Liu, Jia-Wang Bian, Ming-Ming Cheng:
AdaSample: Adaptive Sampling of Hard Positives for Descriptor Learning. CoRR abs/1911.12110 (2019) - [i6]Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen:
Ordered or Orderless: A Revisit for Video based Person Re-Identification. CoRR abs/1912.11236 (2019) - 2018
- [j19]Rakesh Katuwal, Ponnuthurai N. Suganthan, Le Zhang:
An ensemble of decision trees with random vector functional link networks for multi-class classification. Appl. Soft Comput. 70: 1146-1153 (2018) - [j18]Wei Cui, Le Zhang, Bing Li, Jing Guo, Wei Meng, Haixia Wang, Lihua Xie:
Received Signal Strength Based Indoor Positioning Using a Random Vector Functional Link Network. IEEE Trans. Ind. Informatics 14(5): 1846-1855 (2018) - [j17]Zhenghua Chen, Le Zhang, Zhiguang Cao, Jing Guo:
Distilling the Knowledge From Handcrafted Features for Human Activity Recognition. IEEE Trans. Ind. Informatics 14(10): 4334-4342 (2018) - [j16]Zenglin Shi, Le Zhang, Yibo Sun, Yangdong Ye:
Multiscale Multitask Deep NetVLAD for Crowd Counting. IEEE Trans. Ind. Informatics 14(11): 4953-4962 (2018) - [c20]Zenglin Shi, Le Zhang, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng, Guoyan Zheng:
Crowd Counting With Deep Negative Correlation Learning. CVPR 2018: 5382-5390 - [c19]Baiyi Huang, Xiuzhen Cheng, Yuan Cao, Le Zhang:
Lightweight Hardware Based Secure Authentication Scheme for Fog Computing. SEC 2018: 433-439 - [c18]Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shi-Jie Li, Jiawang Bian, Le Zhang, Ming-Ming Cheng:
DEL: Deep Embedding Learning for Efficient Image Segmentation. IJCAI 2018: 864-870 - [c17]Zenglin Shi, Guodong Zeng, Le Zhang, Xiahai Zhuang, Lei Li, Guang Yang, Guoyan Zheng:
Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images. MICCAI (4) 2018: 569-577 - [c16]Jufeng Yang, Liyi Chen, Le Zhang, Xiaoxiao Sun, Dongyu She, Shao-Ping Lu, Ming-Ming Cheng:
Historical Context-based Style Classification of Painting Images via Label Distribution Learning. ACM Multimedia 2018: 1154-1162 - [c15]Songyou Peng, Le Zhang, Stefan Winkler, Marianne Winslett:
Give Me One Portrait Image, I Will Tell You Your Emotion and Personality. ACM Multimedia 2018: 1226-1227 - [i5]Yun Liu, Ming-Ming Cheng, Jia-Wang Bian, Le Zhang, Peng-Tao Jiang, Yang Cao:
Semantic Edge Detection with Diverse Deep Supervision. CoRR abs/1804.02864 (2018) - [i4]Songyou Peng, Le Zhang, Yutong Ban, Meng Fang, Stefan Winkler:
A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues. CoRR abs/1805.00638 (2018) - [i3]Yun Liu, Yujun Shi, JiaWang Bian, Le Zhang, Ming-Ming Cheng, Jiashi Feng:
Learning Pixel-wise Labeling from the Internet without Human Interaction. CoRR abs/1805.07548 (2018) - [i2]JiaWang Bian, Ruihan Yang, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian D. Reid, WenHai Wu:
MatchBench: An Evaluation of Feature Matchers. CoRR abs/1808.02267 (2018) - [i1]Le Zhang, Songyou Peng, Stefan Winkler:
PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship. CoRR abs/1811.08657 (2018) - 2017
- [j15]Le Zhang, Ponnuthurai Nagaratnam Suganthan:
Benchmarking Ensemble Classifiers with Novel Co-Trained Kernal Ridge Regression and Random Vector Functional Link Ensembles [Research Frontier]. IEEE Comput. Intell. Mag. 12(4): 61-72 (2017) - [j14]Xueheng Qiu, Le Zhang, Ponnuthurai Nagaratnam Suganthan, Gehan A. J. Amaratunga:
Oblique random forest ensemble via Least Square Estimation for time series forecasting. Inf. Sci. 420: 249-262 (2017) - [j13]Le Zhang, Ponnuthurai Nagaratnam Suganthan:
Robust visual tracking via co-trained Kernelized correlation filters. Pattern Recognit. 69: 82-93 (2017) - [j12]Le Zhang, Ponnuthurai Nagaratnam Suganthan:
Visual Tracking With Convolutional Random Vector Functional Link Network. IEEE Trans. Cybern. 47(10): 3243-3253 (2017) - [j11]Zhenghua Chen, Qingchang Zhu, Yeng Chai Soh, Le Zhang:
Robust Human Activity Recognition Using Smartphone Sensors via CT-PCA and Online SVM. IEEE Trans. Ind. Informatics 13(6): 3070-3080 (2017) - [c14]Le Zhang, Jagannadan Varadarajan, Ponnuthurai Nagaratnam Suganthan, Narendra Ahuja, Pierre Moulin:
Robust Visual Tracking Using Oblique Random Forests. CVPR 2017: 5825-5834 - [c13]Rim Trabelsi, Jagannadan Varadarajan, Yong Pei, Le Zhang, Issam Jabri, Ammar Bouallegue, Pierre Moulin:
Multi-modal social interaction recognition using view-invariant features. ISIAA@ICMI 2017: 47-48 - [c12]Rim Trabelsi, Jagannadan Varadarajan, Yong Pei, Le Zhang, Issam Jabri, Ammar Bouallegue, Pierre Moulin:
Robust Multi-Modal Cues for Dyadic Human Interaction Recognition. MUSA2@MM 2017: 47-53 - 2016
- [j10]Ye Ren, Le Zhang, Ponnuthurai N. Suganthan:
Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article]. IEEE Comput. Intell. Mag. 11(1): 41-53 (2016) - [j9]Le Zhang, Ponnuthurai N. Suganthan:
A survey of randomized algorithms for training neural networks. Inf. Sci. 364-365: 146-155 (2016) - [j8]Le Zhang, Ponnuthurai N. Suganthan:
A comprehensive evaluation of random vector functional link networks. Inf. Sci. 367-368: 1094-1105 (2016) - [c11]Yuan Cao, Le Zhang, Chip-Hong Chang:
Using image sensor PUF as root of trust for birthmarking of perceptual image hash. AsianHOST 2016: 1-6 - 2015
- [j7]Yuan Cao, Le Zhang, Chip-Hong Chang, Shoushun Chen:
A Low-Power Hybrid RO PUF With Improved Thermal Stability for Lightweight Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(7): 1143-1147 (2015) - [j6]Le Zhang, Xuanyao Fong, Chip-Hong Chang, Zhi-Hui Kong, Kaushik Roy:
Optimizating Emerging Nonvolatile Memories for Dual-Mode Applications: Data Storage and Key Generator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(7): 1176-1187 (2015) - [j5]Yuan Cao, Le Zhang, Siarhei S. Zalivaka, Chip-Hong Chang, Shoushun Chen:
CMOS Image Sensor Based Physical Unclonable Function for Coherent Sensor-Level Authentication. IEEE Trans. Circuits Syst. I Regul. Pap. 62-I(11): 2629-2640 (2015) - [j4]Le Zhang, Ponnuthurai N. Suganthan:
Oblique Decision Tree Ensemble via Multisurface Proximal Support Vector Machine. IEEE Trans. Cybern. 45(10): 2165-2176 (2015) - [j3]Le Zhang, Xuanyao Fong, Chip-Hong Chang, Zhi-Hui Kong, Kaushik Roy:
Highly Reliable Spin-Transfer Torque Magnetic RAM-Based Physical Unclonable Function With Multi-Response-Bits Per Cell. IEEE Trans. Inf. Forensics Secur. 10(8): 1630-1642 (2015) - [c10]Le Zhang, Chip-Hong Chang, Zhi-Hui Kong, Chao Qun Liu:
Statistical analysis and design of 6T SRAM cell for physical unclonable function with dual application modes. ISCAS 2015: 1410-1413 - [c9]Le Zhang, Ponnuthurai Nagaratnam Suganthan:
Visual Tracking with Convolutional Neural Network. SMC 2015: 2072-2077 - 2014
- [j2]Le Zhang, Ponnuthurai Nagaratnam Suganthan:
Random Forests with ensemble of feature spaces. Pattern Recognit. 47(10): 3429-3437 (2014) - [j1]Le Zhang, Zhi-Hui Kong, Chip-Hong Chang, Alessandro Cabrini, Guido Torelli:
Exploiting Process Variations and Programming Sensitivity of Phase Change Memory for Reconfigurable Physical Unclonable Functions. IEEE Trans. Inf. Forensics Secur. 9(6): 921-932 (2014) - [c8]Xueheng Qiu, Le Zhang, Ye Ren, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Ensemble deep learning for regression and time series forecasting. CIEL 2014: 21-26 - [c7]Le Zhang, Chip-Hong Chang, Alessandro Cabrini, Guido Torelli, Zhi-Hui Kong:
Leakage-resilient memory-based physical unclonable function using phase change material. ICCST 2014: 1-6 - [c6]Le Zhang, Ye Ren, Ponnuthurai N. Suganthan:
Towards generating random forests via extremely randomized trees. IJCNN 2014: 2645-2652 - [c5]Le Zhang, Xuanyao Fong, Chip-Hong Chang, Zhi-Hui Kong, Kaushik Roy:
Highly reliable memory-based Physical Unclonable Function using Spin-Transfer Torque MRAM. ISCAS 2014: 2169-2172 - [c4]Yuan Cao, Siarhei S. Zalivaka, Le Zhang, Chip-Hong Chang, Shoushun Chen:
CMOS image sensor based physical unclonable function for smart phone security applications. ISIC 2014: 392-395 - 2013
- [c3]Ren Ye, Le Zhang, Ponnuthurai N. Suganthan:
K-nearest neighbor based bagging SVM pruning. CIEL 2013: 25-30 - [c2]Le Zhang, Ye Ren, Ponnuthurai N. Suganthan:
Instance based random forest with rotated feature space. CIEL 2013: 31-35 - [c1]Le Zhang, Zhi-Hui Kong, Chip-Hong Chang:
PCKGen: A Phase Change Memory based cryptographic key generator. ISCAS 2013: 1444-1447
Coauthor Index
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