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ORCIDLe Zhang 0001
Person information
- 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://dblp.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)
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2020 – today
- 2024
[j55]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)- [j54]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) - 2023
- [j53]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) - [j52]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) - [j51]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) - 2022
- [j50]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) - [j49]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) - [j48]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) - [j47]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) - [j46]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) - [j45]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) - [j44]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) - [j43]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) - 2021
- [j42]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) - [j41]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) - [j40]Xiaoli Li, Peilin Zhao, Min Wu, Zhenghua Chen, Le Zhang:
Deep learning for human activity recognition. Neurocomputing 444: 214-216 (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) - [c26]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 - [c25]Wanyue Zhang, Xun Xu, Fayao Liu, Le Zhang, Chuan Sheng Foo:
On Automatic Data Augmentation for 3D Point Cloud Classification. BMVC 2021: 392 - [c24]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 - [c23]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 - [i16]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) - [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) - [c22]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 - [c21]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 - [c20]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 - [c19]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) - [c18]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 - [c17]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 - [c16]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 - [c15]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 - [c14]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) - [c13]Le Zhang, Jagannadan Varadarajan, Ponnuthurai Nagaratnam Suganthan, Narendra Ahuja, Pierre Moulin:
Robust Visual Tracking Using Oblique Random Forests. CVPR 2017: 5825-5834 - [c12]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 - [c11]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) - [c10]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) - [c9]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 - [c8]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) - [c7]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 - [c6]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 - [c5]Le Zhang, Ye Ren, Ponnuthurai N. Suganthan:
Towards generating random forests via extremely randomized trees. IJCNN 2014: 2645-2652 - [c4]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 - [c3]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
- [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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