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2020 – today
- 2024
- [j56]Hongsong Wang, Jianhua Zhao, Jie Gui:
Region-aware image-based human action retrieval with transformers. Comput. Vis. Image Underst. 249: 104202 (2024) - [j55]Tianyu Zhu, Xinli Shi, Xiangping Xu, Jie Gui, Jinde Cao:
HyperComm: Hypergraph-based communication in multi-agent reinforcement learning. Neural Networks 178: 106432 (2024) - [j54]Yunan Liu, Chunpeng Wang, Mingyu Lu, Jian Yang, Jie Gui, Shanshan Zhang:
From Simple to Complex Scenes: Learning Robust Feature Representations for Accurate Human Parsing. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5449-5462 (2024) - [j53]Jie Gui, Tuo Chen, Jing Zhang, Qiong Cao, Zhenan Sun, Hao Luo, Dacheng Tao:
A Survey on Self-Supervised Learning: Algorithms, Applications, and Future Trends. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9052-9071 (2024) - [j52]Biwei Cao, Jiuxin Cao, Bo Liu, Jie Gui, Jun Zhou, Yuan Yan Tang, James Tin-Yau Kwok:
Response Generation in Social Network With Topic and Emotion Constraints. IEEE Trans. Comput. Soc. Syst. 11(5): 6592-6604 (2024) - [j51]Yifan Wang, Jie Gui, Yuan Yan Tang, James Tin-Yau Kwok:
CFVNet: An End-to-End Cancelable Finger Vein Network for Recognition. IEEE Trans. Inf. Forensics Secur. 19: 7810-7823 (2024) - [j50]Yu-Xin Zhang, Jie Gui, James Tin-Yau Kwok:
Constructing Diverse Inlier Consistency for Partial Point Cloud Registration. IEEE Trans. Image Process. 33: 6535-6549 (2024) - [j49]Jie Gui, Xiaofeng Cong, Lei He, Yuan Yan Tang, James Tin-Yau Kwok:
Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding. IEEE Trans. Multim. 26: 4819-4830 (2024) - [c33]Xiaofeng Cong, Jie Gui, Junming Hou:
Underwater Organism Color Fine-Tuning via Decomposition and Guidance. AAAI 2024: 1389-1398 - [c32]Kun Tong, Chengze Jiang, Jie Gui, Yuan Cao:
Taxonomy Driven Fast Adversarial Training. AAAI 2024: 5233-5242 - [c31]Xiaofeng Cong, Jie Gui, Jing Zhang, Junming Hou, Hao Shen:
A Semi-Supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint. CVPR 2024: 2631-2640 - [c30]Yu-Xin Zhang, Jie Gui, Xiaofeng Cong, Xin Gong, Wenbing Tao:
A Comprehensive Survey and Taxonomy on Point Cloud Registration Based on Deep Learning. IJCAI 2024: 8344-8353 - [c29]Jiajia Chen, Xuejun Zhang, Jie Gui, Xiuquan Du, Wen Sha:
MDNet: Morphology-Driven Weakly Supervised Polyp Detection. PRCV (15) 2024: 107-120 - [c28]Xuejun Zhang, Jiajia Chen, Jie Gui, Xiuquan Du, Wen Sha:
GCNet: Global Context-Guided Uncertainty Boundary for Polyp Segmentation. PRCV (15) 2024: 195-209 - [c27]Jie Gui, Wen Sha, Xiuquan Du:
MFIS-Net: A Deep Learning Framework for Left Atrial Segmentation. PRCV (15) 2024: 287-300 - [i31]Xiaofeng Cong, Jie Gui, Jing Zhang, Junming Hou, Hao Shen:
A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint. CoRR abs/2403.18548 (2024) - [i30]Yu-Xin Zhang, Jie Gui, Xiaofeng Cong, Xin Gong, Wenbing Tao:
A Comprehensive Survey and Taxonomy on Point Cloud Registration Based on Deep Learning. CoRR abs/2404.13830 (2024) - [i29]Lanting Fang, Yulian Yang, Kai Wang, Shanshan Feng, Kaiyu Feng, Jie Gui, Shuliang Wang, Yew-Soon Ong:
SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs. CoRR abs/2405.19062 (2024) - [i28]Xiaofeng Cong, Yu Zhao, Jie Gui, Junming Hou, Dacheng Tao:
A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning. CoRR abs/2405.19684 (2024) - [i27]Hongsong Wang, Jianhua Zhao, Jie Gui:
Region-aware Image-based Human Action Retrieval with Transformers. CoRR abs/2407.09924 (2024) - [i26]Kun Tong, Chengze Jiang, Jie Gui, Yuan Cao:
Taxonomy Driven Fast Adversarial Training. CoRR abs/2408.03944 (2024) - [i25]Siyu Zhai, Zhibo He, Xiaofeng Cong, Junming Hou, Jie Gui, Jian Wei You, Xin Gong, James Tin-Yau Kwok, Yuan Yan Tang:
Unrevealed Threats: A Comprehensive Study of the Adversarial Robustness of Underwater Image Enhancement Models. CoRR abs/2409.06420 (2024) - [i24]Jidong Kuang, Hongsong Wang, Chaolei Han, Jie Gui:
Zero-Shot Skeleton-based Action Recognition with Dual Visual-Text Alignment. CoRR abs/2409.14336 (2024) - [i23]Yifan Wang, Jie Gui, Yuan Yan Tang, James Tin-Yau Kwok:
CFVNet: An End-to-End Cancelable Finger Vein Network for Recognition. CoRR abs/2409.14774 (2024) - [i22]Xiaofeng Cong, Jing Zhang, Yeying Jin, Junming Hou, Yu Zhao, Jie Gui, James Tin-Yau Kwok, Yuan Yan Tang:
Underwater Organism Color Enhancement via Color Code Decomposition, Adaptation and Interpolation. CoRR abs/2409.19685 (2024) - 2023
- [j48]Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Jiuxin Cao, Dacheng Tao:
A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning. ACM Comput. Surv. 55(13s): 279:1-279:37 (2023) - [j47]Lanting Fang, Kaiyu Feng, Jie Gui, Shanshan Feng, Aiqun Hu:
Anonymous Edge Representation for Inductive Anomaly Detection in Dynamic Bipartite Graphs. Proc. VLDB Endow. 16(5): 1154-1167 (2023) - [j46]Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei:
Feedback Pyramid Attention Networks for Single Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4881-4892 (2023) - [j45]Jidong Ge, Yuxiang Liu, Jie Gui, Lanting Fang, Ming Lin, James Tin-Yau Kwok, Liguo Huang, Bin Luo:
Learning the Relation Between Similarity Loss and Clustering Loss in Self-Supervised Learning. IEEE Trans. Image Process. 32: 3442-3454 (2023) - [j44]Jie Gui, Zhenan Sun, Yonggang Wen, Dacheng Tao, Jieping Ye:
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications. IEEE Trans. Knowl. Data Eng. 35(4): 3313-3332 (2023) - [j43]Biwei Cao, Jiuxin Cao, Jie Gui, Jiayun Shen, Bo Liu, Lei He, Yuan Yan Tang, James Tin-Yau Kwok:
AlignVE: Visual Entailment Recognition Based on Alignment Relations. IEEE Trans. Multim. 25: 7378-7387 (2023) - [j42]Zhao Li, Haifeng Sun, Zheng Xiong, Qun Huang, Zehong Hu, Ding Li, Shasha Ruan, Hai Hong, Jie Gui, Jintao He, Zebin Xu, Yang Fang:
Noah: Reinforcement-Learning-Based Rate Limiter for Microservices in Large-Scale E-Commerce Services. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5403-5417 (2023) - [c26]Wenzhe Jia, Yuan Cao, Junwei Liu, Jie Gui:
Fast Online Hashing with Multi-Label Projection. AAAI 2023: 1007-1014 - [c25]Zhengqi Liu, Jie Gui, Hao Luo:
Good Helper Is around You: Attention-Driven Masked Image Modeling. AAAI 2023: 1799-1807 - [c24]Jie Gui, Yuchen Song, Zezhou Wang, Chenhong He, Qun Huang:
SK-Gradient: Efficient Communication for Distributed Machine Learning with Data Sketch. ICDE 2023: 2372-2385 - [c23]Zhenjie Chen, Hongsong Wang, Jie Gui:
Occluded Skeleton-Based Human Action Recognition with Dual Inhibition Training. ACM Multimedia 2023: 2625-2634 - [c22]Haifeng Sun, Jiaheng Li, Jintao He, Jie Gui, Qun Huang:
OmniWindow: A General and Efficient Window Mechanism Framework for Network Telemetry. SIGCOMM 2023: 867-880 - [i21]Jidong Ge, Yuxiang Liu, Jie Gui, Lanting Fang, Ming Lin, James Tin-Yau Kwok, LiGuo Huang, Bin Luo:
Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning. CoRR abs/2301.03041 (2023) - [i20]Jie Gui, Tuo Chen, Qiong Cao, Zhenan Sun, Hao Luo, Dacheng Tao:
A Survey of Self-Supervised Learning from Multiple Perspectives: Algorithms, Theory, Applications and Future Trends. CoRR abs/2301.05712 (2023) - [i19]Jie Gui, Xiaofeng Cong, Chengwei Peng, Yuan Yan Tang, James Tin-Yau Kwok:
Adversarial Attack and Defense for Dehazing Networks. CoRR abs/2303.17255 (2023) - [i18]Biwei Cao, Lulu Hua, Jiuxin Cao, Jie Gui, Bo Liu, James Tin-Yau Kwok:
No Place to Hide: Dual Deep Interaction Channel Network for Fake News Detection based on Data Augmentation. CoRR abs/2303.18049 (2023) - [i17]Jie Gui, Xiaofeng Cong, Lei He, Yuan Yan Tang, James Tin-Yau Kwok:
Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding. CoRR abs/2306.05675 (2023) - 2022
- [j41]Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei:
Pyramidal dense attention networks for single image super-resolution. IET Image Process. 16(12): 3247-3257 (2022) - [j40]Rujing Yao, Linlin Hou, Lei Yang, Jie Gui, Ou Wu:
Deep human answer understanding for natural reverse QA. Knowl. Based Syst. 254: 109625 (2022) - [j39]Na Cheng, Huadong Wang, Xi Tang, Tao Zhang, Jie Gui, Chun-Hou Zheng, Junfeng Xia:
An Ensemble Framework for Improving the Prediction of Deleterious Synonymous Mutation. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2603-2611 (2022) - [j38]Yuan Cao, Sheng Chen, Jie Gui, Heng Qi, Zhiyang Li, Chao Liu:
Hash Learning With Variable Quantization for Large-Scale Retrieval. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2624-2637 (2022) - [j37]Huapeng Wu, Jie Gui, Yang Xu, Zebin Wu, Yuan Yan Tang, Zhihui Wei:
An Efficient Cross-Modality Self-Calibrated Network for Hyperspectral and Multispectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j36]Yuan Cao, Junwei Liu, Heng Qi, Jie Gui, Keqiu Li, Jieping Ye, Chao Liu:
Scalable Distributed Hashing for Approximate Nearest Neighbor Search. IEEE Trans. Image Process. 31: 472-484 (2022) - [i16]Biwei Cao, Jiuxin Cao, Jie Gui, Jiayun Shen, Bo Liu, Lei He, Yuan Yan Tang, James Tin-Yau Kwok:
AlignVE: Visual Entailment Recognition Based on Alignment Relations. CoRR abs/2211.08736 (2022) - [i15]Zhengqi Liu, Jie Gui, Hao Luo:
Good helper is around you: Attention-driven Masked Image Modeling. CoRR abs/2211.15362 (2022) - [i14]Wenzhe Jia, Yuan Cao, Junwei Liu, Jie Gui:
Fast Online Hashing with Multi-Label Projection. CoRR abs/2212.03112 (2022) - 2021
- [j35]Jie Gui, Haizhang Zhang:
Learning rates for multi-task regularization networks. Neurocomputing 466: 243-251 (2021) - [j34]Huapeng Wu, Zhengxia Zou, Jie Gui, Wen-Jun Zeng, Jieping Ye, Jun Zhang, Hongyi Liu, Zhihui Wei:
Multi-Grained Attention Networks for Single Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 31(2): 512-522 (2021) - [j33]Jie Gui, Yuan Cao, Heng Qi, Keqiu Li, Jieping Ye, Chao Liu, Xiaowei Xu:
Fast kNN Search in Weighted Hamming Space With Multiple Tables. IEEE Trans. Image Process. 30: 3985-3994 (2021) - [j32]Yuan Cao, Heng Qi, Jie Gui, Keqiu Li, Yuan Yan Tang, James Tin-Yau Kwok:
Learning to Hash With Dimension Analysis Based Quantizer for Image Retrieval. IEEE Trans. Multim. 23: 3907-3918 (2021) - [c21]Yuxiang Liu, Jidong Ge, Chuanyi Li, Jie Gui:
Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse. AAAI 2021: 2216-2224 - [c20]Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Dacheng Tao:
A Comprehensive Survey on Image Dehazing Based on Deep Learning. IJCAI 2021: 4426-4433 - [c19]Yuhan Wu, Zirui Liu, Xiang Yu, Jie Gui, Haochen Gan, Yuhao Han, Tao Li, Ori Rottenstreich, Tong Yang:
MapEmbed: Perfect Hashing with High Load Factor and Fast Update. KDD 2021: 1863-1872 - [i13]Yuxiang Liu, Jidong Ge, Chuanyi Li, Jie Gui:
Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse. CoRR abs/2103.11590 (2021) - [i12]Jie Gui, Haizhang Zhang:
Learning Rates for Multi-task Regularization Networks. CoRR abs/2104.00453 (2021) - [i11]Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Dacheng Tao:
A Comprehensive Survey on Image Dehazing Based on Deep Learning. CoRR abs/2106.03323 (2021) - [i10]Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei:
Feedback Pyramid Attention Networks for Single Image Super-Resolution. CoRR abs/2106.06966 (2021) - [i9]Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei:
Pyramidal Dense Attention Networks for Lightweight Image Super-Resolution. CoRR abs/2106.06996 (2021) - [i8]Jianfeng Wu, Wenhui Zhu, Yi Su, Jie Gui, Natasha Leporé, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Kewei Chen, Yalin Wang:
Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy. CoRR abs/2110.10709 (2021) - 2020
- [j31]Lin Mu, Haiying Zhang, Liang Du, Jie Gui, Aidan Li, Xi Zhang:
Discriminative Multiple Kernel Concept Factorization for Data Representation. IEEE Access 8: 175086-175100 (2020) - [j30]Min Zhou, Zhengxia Zou, Zhenwei Shi, Wen-Jun Zeng, Jie Gui:
Local Attention Networks for Occluded Airplane Detection in Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 17(3): 381-385 (2020) - [j29]Yu Wang, Jie Gui, Yue Yin, Juan Wang, Jinlong Sun, Guan Gui, Haris Gacanin, Hikmet Sari, Fumiyuki Adachi:
Automatic Modulation Classification for MIMO Systems via Deep Learning and Zero-Forcing Equalization. IEEE Trans. Veh. Technol. 69(5): 5688-5692 (2020) - [c18]Xiaoyun Li, Jie Gui, Ping Li:
Randomized Kernel Multi-View Discriminant Analysis. ECAI 2020: 1276-1284 - [c17]Xiaofeng Cong, Jie Gui, Kai-Chao Miao, Jun Zhang, Bing Wang, Peng Chen:
Discrete Haze Level Dehazing Network. ACM Multimedia 2020: 1828-1836 - [i7]Jie Gui, Zhenan Sun, Yonggang Wen, Dacheng Tao, Jieping Ye:
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications. CoRR abs/2001.06937 (2020) - [i6]Xiaoyun Li, Jie Gui, Ping Li:
Randomized Kernel Multi-view Discriminant Analysis. CoRR abs/2004.01143 (2020)
2010 – 2019
- 2019
- [j28]Yuan Cao, Heng Qi, Jie Gui, Shuai Li, Keqiu Li:
General Distributed Hash Learning on Image Descriptors for $k$-Nearest Neighbor Search. IEEE Signal Process. Lett. 26(5): 750-754 (2019) - [i5]Jie Gui, Tongliang Liu, Zhenan Sun, Dacheng Tao, Tieniu Tan:
Supervised Discrete Hashing with Relaxation. CoRR abs/1904.03549 (2019) - [i4]Jie Gui, Tongliang Liu, Zhenan Sun, Dacheng Tao, Tieniu Tan:
Fast Supervised Discrete Hashing. CoRR abs/1904.03556 (2019) - [i3]Yong Luo, Yonggang Wen, Dacheng Tao, Jie Gui, Chao Xu:
Large Margin Multi-modal Multi-task Feature Extraction for Image Classification. CoRR abs/1904.04088 (2019) - [i2]Huapeng Wu, Zhengxia Zou, Jie Gui, Wen-Jun Zeng, Jieping Ye, Jun Zhang, Hongyi Liu, Zhihui Wei:
Multi-grained Attention Networks for Single Image Super-Resolution. CoRR abs/1909.11937 (2019) - [i1]Rujing Yao, Linlin Hou, Lei Yang, Jie Gui, Qing Yin, Ou Wu:
Deep Human Answer Understanding for Natural Reverse QA. CoRR abs/1912.00398 (2019) - 2018
- [j27]Yuan Cao, Heng Qi, Wenrui Zhou, Jien Kato, Keqiu Li, Xiulong Liu, Jie Gui:
Binary Hashing for Approximate Nearest Neighbor Search on Big Data: A Survey. IEEE Access 6: 2039-2054 (2018) - [j26]Taosheng Xu, Ning Su, Lin Liu, Junpeng Zhang, Hongqiang Wang, Weijia Zhang, Jie Gui, Kui Yu, Jiuyong Li, Thuc Duy Le:
miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase. BMC Bioinform. 19-S(19): 179-188 (2018) - [j25]Jie Gui, Tongliang Liu, Zhenan Sun, Dacheng Tao, Tieniu Tan:
Fast Supervised Discrete Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 490-496 (2018) - [j24]Yinyan Zhang, Shuai Li, Jie Gui, Xin Luo:
Velocity-Level Control With Compliance to Acceleration-Level Constraints: A Novel Scheme for Manipulator Redundancy Resolution. IEEE Trans. Ind. Informatics 14(3): 921-930 (2018) - [j23]Jie Gui, Tongliang Liu, Zhenan Sun, Dacheng Tao, Tieniu Tan:
Supervised Discrete Hashing With Relaxation. IEEE Trans. Neural Networks Learn. Syst. 29(3): 608-617 (2018) - [c16]Jie Gui, Ping Li:
Multi-view Feature Selection for Heterogeneous Face Recognition. ICDM 2018: 983-988 - [c15]Jie Gui, Ping Li:
R 2 SDH: Robust Rotated Supervised Discrete Hashing. KDD 2018: 1485-1493 - 2017
- [j22]Jie Gui, Zhenan Sun, Shuiwang Ji, Dacheng Tao, Tieniu Tan:
Feature Selection Based on Structured Sparsity: A Comprehensive Study. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1490-1507 (2017) - 2016
- [j21]Jie Gui, Tongliang Liu, Dacheng Tao, Zhenan Sun, Tieniu Tan:
Representative Vector Machines: A Unified Framework for Classical Classifiers. IEEE Trans. Cybern. 46(8): 1877-1888 (2016) - [j20]Yong Luo, Yonggang Wen, Dacheng Tao, Jie Gui, Chao Xu:
Large Margin Multi-Modal Multi-Task Feature Extraction for Image Classification. IEEE Trans. Image Process. 25(1): 414-427 (2016) - 2015
- [c14]Hongjiao Xu, Wen Zeng, Jie Gui, Peng Qu, Xiaohua Zhu, Lijun Wang:
Exploring similarity between academic paper and patent based on Latent Semantic Analysis and Vector Space Model. FSKD 2015: 801-805 - 2014
- [j19]Jie Gui, Rong-Xiang Hu, Zhong-Qiu Zhao, Wei Jia:
Semi-supervised learning with local and global consistency. Int. J. Comput. Math. 91(11): 2389-2402 (2014) - [j18]Hongqi Han, Shuo Xu, Jie Gui, Xiaodong Qiao, Lijun Zhu, Han Zhang:
Uncovering Research Topics of Academic Communities of Scientific Collaboration Network. Int. J. Distributed Sens. Networks 10 (2014) - [j17]Jie Gui, Zhenan Sun, Jun Cheng, Shuiwang Ji, Xindong Wu:
How to Estimate the Regularization Parameter for Spectral Regression Discriminant Analysis and its Kernel Version? IEEE Trans. Circuits Syst. Video Technol. 24(2): 211-223 (2014) - [j16]Rong-Xiang Hu, Wei Jia, Haibin Ling, Yang Zhao, Jie Gui:
Angular Pattern and Binary Angular Pattern for Shape Retrieval. IEEE Trans. Image Process. 23(3): 1118-1127 (2014) - [j15]Jie Gui, Dacheng Tao, Zhenan Sun, Yong Luo, Xinge You, Yuan Yan Tang:
Group Sparse Multiview Patch Alignment Framework With View Consistency for Image Classification. IEEE Trans. Image Process. 23(7): 3126-3137 (2014) - [j14]Wei Jia, Rong-Xiang Hu, Ying-Ke Lei, Yang Zhao, Jie Gui:
Histogram of Oriented Lines for Palmprint Recognition. IEEE Trans. Syst. Man Cybern. Syst. 44(3): 385-395 (2014) - [c13]Jie Gui, Zhenan Sun, Guangqi Hou, Tieniu Tan:
An optimal set of code words and correntropy for rotated least squares regression. IJCB 2014: 1-6 - [c12]Hongqi Han, Shuo Xu, Lijun Zhu, Xiaodong Qiao, Jie Gui, Zhaofeng Zhang:
Mining Technical Topic Networks from Chinese Patents. IPaMin@KONVENS 2014 - 2013
- [j13]Can-Yi Lu, Hai Min, Jie Gui, Lin Zhu, Ying-Ke Lei:
Face recognition via Weighted Sparse Representation. J. Vis. Commun. Image Represent. 24(2): 111-116 (2013) - [c11]Jie Gui, Jian-Xun Mi, Ying-Ke Lei, Hong-Qiang Wang:
Sparse Learning for Face Recognition with Social Context. IScIDE 2013: 820-826 - 2012
- [j12]Ding Li, Jie Gui, Yongjian Li, Lingling Feng, Xinya Han, Yao Sun, Tinglin Sun, Zhigang Chen, Yi Cao, Yang Zhang, Li Zhou, Xiaopeng Hu, Yanliang Ren, Jian Wan:
Structure-Based Design and Screen of Novel Inhibitors for Class II 3-Hydroxy-3-methylglutaryl Coenzyme A Reductase from Streptococcus Pneumoniae. J. Chem. Inf. Model. 52(7): 1833-1841 (2012) - [j11]Wei Jia, Hai-Yang Cai, Jie Gui, Rong-Xiang Hu, Ying-Ke Lei, Xiao-Feng Wang:
Newborn footprint recognition using orientation feature. Neural Comput. Appl. 21(8): 1855-1863 (2012) - [j10]Ying-Ke Lei, Yangming Xu, Jun-An Yang, Zhi-Guo Ding, Jie Gui:
Feature extraction using orthogonal discriminant local tangent space alignment. Pattern Anal. Appl. 15(3): 249-259 (2012) - [j9]Jie Gui, Zhenan Sun, Wei Jia, Rong-Xiang Hu, Ying-Ke Lei, Shuiwang Ji:
Discriminant sparse neighborhood preserving embedding for face recognition. Pattern Recognit. 45(8): 2884-2893 (2012) - [j8]Rong-Xiang Hu, Wei Jia, Yang Zhao, Jie Gui:
Perceptually motivated morphological strategies for shape retrieval. Pattern Recognit. 45(9): 3222-3230 (2012) - [j7]Rong-Xiang Hu, Wei Jia, David Zhang, Jie Gui, Liang-Tu Song:
Hand shape recognition based on coherent distance shape contexts. Pattern Recognit. 45(9): 3348-3359 (2012) - [j6]Wei Jia, Rong-Xiang Hu, Jie Gui, Yang Zhao, Xiao-Ming Ren:
Palmprint Recognition across Different Devices. Sensors 12(6): 7938-7964 (2012) - [c10]Jie Gui, Zhenan Sun, Tieniu Tan:
Regularization parameter estimation for spectral regression discriminant analysis based on perturbation theory. ICPR 2012: 401-404 - [c9]Jie Gui, Zhong-Qiu Zhao, Rong-Xiang Hu, Wei Jia:
Semi-supervised Learning with Local and Global Consistency by Geodesic Distance and Sparse Representation. IScIDE 2012: 125-132 - 2010
- [j5]Jie Gui, Shu-Lin Wang, Ying-Ke Lei:
Multi-step dimensionality reduction and semi-supervised graph-based tumor classification using gene expression data. Artif. Intell. Medicine 50(3): 181-191 (2010) - [j4]Zhuhong You, Ying-Ke Lei, Jie Gui, De-Shuang Huang, Xiaobo Zhou:
Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data. Bioinform. 26(21): 2744-2751 (2010) - [j3]Shu-Lin Wang, Xueling Li, Shanwen Zhang, Jie Gui, De-Shuang Huang:
Tumor classification by combining PNN classifier ensemble with neighborhood rough set based gene reduction. Comput. Biol. Medicine 40(2): 179-189 (2010) - [j2]