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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Yu Cheng 0001
![[0000-0002-2315-5641]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2315-5641")
— Microsoft Research, Redmond, WA, USA (and 2 more) - Yu Cheng 0002 — University of Illinois at Chicago, Chicago, IL, USA (and 2 more)
- Yu Cheng 0003 — Illinois Institute of Technology, Department of Electrical and Computer Engineering Technology, Chicago, IL, USA (and 2 more)
- Yu Cheng 0004 — Beihang University, School of Instrumentation Science and Opto-Electronics Engineering, Beijing, China
- Yu Cheng 0005 — Ant Financial Services Group, Hangzhou, China (and 1 more)
- Yu Cheng 0006 — Michigan State University, Department of Electrical and Computer Engineering, East Lansing, MI, USA (and 1 more)
- Yu Cheng 0007 — University of California, Merced, USA
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2020 – today
- 2022
[j47]Duo Wang, Qianxia Ma, Qingyuan Zheng, Yu Cheng, Tao Zhang:
Improved local-feature-based few-shot learning with Sinkhorn metrics. Int. J. Mach. Learn. Cybern. 13(4): 1099-1114 (2022)- [j46]Rui Zhou, Ziyuan Gong, Kai Tang, Bao Zhou, Yu Cheng:
Device-free cross location activity recognition via semi-supervised deep learning. Neural Comput. Appl. 34(12): 10189-10203 (2022) - [j45]Liwu Wen, Jinshan Ding, Yu Cheng, Zhong Xu:
Dually Supervised Track-Before-Detect Processing of Multichannel Video SAR Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j44]Long Chen, Xuemin Hu, Bo Tang, Yu Cheng:
Conditional DQN-Based Motion Planning With Fuzzy Logic for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23(4): 2966-2977 (2022) - [c72]Yu Cheng, Sang Hun Sul:
Smart Home Service Experience Strategic Foresight Using the Social Network Analysis and Future Triangle. HCI (13) 2022: 501-518 - [i36]Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou:
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding. CoRR abs/2201.00454 (2022) - [i35]Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu, Pan Zhou:
Unsupervised Temporal Video Grounding with Deep Semantic Clustering. CoRR abs/2201.05307 (2022) - [i34]Yuhui Wang, Yu Cheng, Xiang-Hua Wang, Shunchuan Yang, Zhizhang Chen:
A SBP-SAT FDTD Subgridding Method Using Staggered Yee's Grids Without Modifying Field Components. CoRR abs/2202.10770 (2022) - [i33]Ziru Chen, Ran Zhang, Lin X. Cai, Yu Cheng, Yong Liu:
A Deep Reinforcement Learning based Approach for NOMA-based Random Access Network with Truncated Channel Inversion Power Control. CoRR abs/2202.10955 (2022) - [i32]Yuezihan Jiang, Yu Cheng, Hanyu Zhao, Wentao Zhang, Xupeng Miao, Yu He, Liang Wang, Zhi Yang, Bin Cui:
ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest. CoRR abs/2203.12596 (2022) - [i31]Yu Cheng, Bo Wang, Robby T. Tan:
Dual networks based 3D Multi-Person Pose Estimation from Monocular Video. CoRR abs/2205.00748 (2022) - [i30]Boxin Wang, Chejian Xu, Xiangyu Liu, Yu Cheng, Bo Li:
SemAttack: Natural Textual Attacks via Different Semantic Spaces. CoRR abs/2205.01287 (2022) - [i29]Makesh Narsimhan Sreedhar, Xiangpeng Wan, Yu Cheng, Junjie Hu:
Local Byte Fusion for Neural Machine Translation. CoRR abs/2205.11490 (2022) - [i28]Yu Cheng, Hanhong Liu, Xinsong Wang, Guangzhi Chen, Xiang-Hua Wang, Xingqi Zhang, Shunchuan Yang, Zhizhang Chen:
Towards the Development of A Three-Dimensional SBP-SAT FDTD Method: Theory and Validation. CoRR abs/2206.00638 (2022) - 2021
- [j43]Haoran Song, Shengchun Wang, Zichen Gu, Peng Dai, Xinyu Du, Yu Cheng:
Modeling and Optimization of Semantic Segmentation for Track Bed Foreign Object Based on Attention Mechanism. IEEE Access 9: 86646-86656 (2021) - [j42]Yu Cheng, Yongshun Gong, Yuansheng Liu, Bosheng Song, Quan Zou:
Molecular design in drug discovery: a comprehensive review of deep generative models. Briefings Bioinform. 22(6) (2021) - [j41]Jun Zhang, Yuanqing Li, Zhu Liang Yu, Zhenghui Gu, Yu Cheng, Huoqing Gong:
Deep Unfolding With Weighted ℓ₂ Minimization for Compressive Sensing. IEEE Internet Things J. 8(4): 3027-3041 (2021) - [j40]Tae Kim, Sang-Young Kim, Vikas Agarwal, Annie Cohen, Rebecca Roush, Yue-Fang Chang, Yu Cheng, Beth Snitz, Theodore J. Huppert, Anto Bagic, M. Ilyas Kamboh, Jack Doman, James T. Becker:
Cardiac-induced cerebral pulsatility, brain structure, and cognition in middle and older-aged adults. NeuroImage 233: 117956 (2021) - [j39]Ruijun Cheng, Yu Cheng, Dewang Chen, Haifeng Song:
Online quantitative safety monitoring approach for unattended train operation system considering stochastic factors. Reliab. Eng. Syst. Saf. 216: 107933 (2021) - [j38]Zhuofeng Mo, Dehan Luo, Tengteng Wen, Yu Cheng, Xin Li:
FPGA Implementation for Odor Identification with Depthwise Separable Convolutional Neural Network. Sensors 21(3): 832 (2021) - [j37]Honggui Deng, Yu Cheng, Yuxin Feng, Junjiang Xiang:
Industrial Laser Welding Defect Detection and Image Defect Recognition Based on Deep Learning Model Developed. Symmetry 13(9): 1731 (2021) - [j36]Zhaojie Yang, Yi Fang, Yu Cheng, Pingping Chen, Dhafer J. Almakhles:
Protograph LDPC-Coded BICM-ID With Irregular Mapping: An Emerging Transmission Technique for Massive Internet of Things. IEEE Trans. Green Commun. Netw. 5(3): 1051-1065 (2021) - [j35]Yu Cheng, Bo Yin, Shuai Zhang:
Deep Learning for Wireless Networking: The Next Frontier. IEEE Wirel. Commun. 28(6): 176-183 (2021) - [c71]Yu Cheng, Bo Wang, Bo Yang, Robby T. Tan:
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos. AAAI 2021: 1157-1165 - [c70]Dongming Xu, Zhijie Ding, Yu Cheng:
Summary of MIMO System Signal Detection Algorithms Under Deep Learning. AIPR 2021: 412-418 - [c69]Yu Cheng, Bo Wang, Bo Yang, Robby T. Tan:
Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks. CVPR 2021: 7649-7659 - [c68]Yiting Li, Haiyue Zhu, Yu Cheng, Wenxin Wang, Chek Sing Teo, Cheng Xiang, Prahlad Vadakkepat, Tong Heng Lee:
Few-Shot Object Detection via Classification Refinement and Distractor Retreatment. CVPR 2021: 15395-15403 - [c67]Jiting Li, Yu Cheng, Tao Wang, Hao Wang:
PLEAS: A Decision Support System for Personnel Evaluation and Selection. DSIT 2021: 183-190 - [c66]Shuai Zhang, Bo Yin, Yu Cheng:
Deep Reinforcement Learning for Scheduling in Multi-Hop Wireless Networks : Invited Paper. MASS 2021: 1-9 - [c65]Jason Wei, Chengyu Huang, Soroush Vosoughi, Yu Cheng, Shiqi Xu:
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning. NAACL-HLT 2021: 5493-5500 - [c64]Lecheng Zheng, Yu Cheng, Hongxia Yang, Nan Cao, Jingrui He:
Deep Co-Attention Network for Multi-View Subspace Learning. WWW 2021: 1528-1539 - [i27]Lecheng Zheng, Yu Cheng, Hongxia Yang, Nan Cao, Jingrui He:
Deep Co-Attention Network for Multi-View Subspace Learning. CoRR abs/2102.07751 (2021) - [i26]Jason Wei, Chengyu Huang, Soroush Vosoughi, Yu Cheng, Shiqi Xu:
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning. CoRR abs/2103.07552 (2021) - [i25]Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Yu Cheng, Wei Wei, Zichuan Xu, Yulai Xie:
Context-aware Biaffine Localizing Network for Temporal Sentence Grounding. CoRR abs/2103.11555 (2021) - [i24]Yu Cheng, Bo Wang, Bo Yang, Robby T. Tan:
Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks. CoRR abs/2104.01797 (2021) - [i23]Yu Cheng, Yuhui Wang, Hanhong Liu, Lilin Li, Xiang-Hua Wang, Shunchuan Yang, Zhizhang Chen:
A Stable FDTD Subgridding Scheme with SBP-SAT for Transient Electromagnetic Analysis. CoRR abs/2110.09054 (2021) - 2020
- [j34]Xin Li, Dehan Luo, Yu Cheng, Angus Kin Yeung Wong, Kevin Hung:
A Perception-Driven Framework for Predicting Missing Odor Perceptual Ratings and an Exploration of Odor Perceptual Space. IEEE Access 8: 29595-29607 (2020) - [j33]Xinyu Du, Yu Cheng, Zichen Gu:
Change Detection: The Framework of Visual Inspection System for Railway Plug Defects. IEEE Access 8: 152161-152172 (2020) - [j32]Tsung-Yen Liu, Lung-Chien Chen, Cheng-Che Lee, Yu Cheng, Chieh-Hsiung Kuan, Ray-Ming Lin:
Modulation and Refinement of In-N re-Bonding of InGaN Through in Post-Flow During a Refined Temper Fire Treatment Process. IEEE Access 8: 224433-224438 (2020) - [j31]Yu Cheng, Li Wang:
A location model for capacitated alternative-fuel stations with uncertain traffic flows. Comput. Ind. Eng. 145: 106486 (2020) - [j30]Hangyu Qi, Tianhua Xu, Guang Wang, Yu Cheng, Cong Chen:
MYOLOv3-Tiny: A new convolutional neural network architecture for real-time detection of track fasteners. Comput. Ind. 123: 103303 (2020) - [j29]Yu Cheng, Gerard Gómez, Josep J. Masdemont, Dong Qiao, Yijun Lian:
Relative dynamics of charged spacecraft in a magnetic field applied to formation flight. Commun. Nonlinear Sci. Numer. Simul. 80: 105006 (2020) - [j28]Xiangyang Sun, Yu Cheng, Qicheng Lu, Miao Hu:
Dynamic efficiency evaluation of state-level business incubators in China by using a slacks-based measure approach. Expert Syst. J. Knowl. Eng. 37(3) (2020) - [j27]Ri-Gui Zhou, Yu Cheng, Xiaofang Qi, Han Yu, Nan Jiang:
Asymmetric scaling scheme over the two dimensions of a quantum image. Quantum Inf. Process. 19(9): 343 (2020) - [j26]Yuhua Sun, Wenxiang Zhao, Jinghua Ji, Junqiang Zheng, Yu Cheng:
Torque Improvement in Dual M-Phase Permanent-Magnet Machines by Phase Shift for Electric Ship Applications. IEEE Trans. Veh. Technol. 69(9): 9601-9612 (2020) - [j25]Xiaoguang Zhang, Zhihao Zhao, Yu Cheng, Yaoqiang Wang:
Robust Model Predictive Current Control Based on Inductance and Flux Linkage Extraction Algorithm. IEEE Trans. Veh. Technol. 69(12): 14893-14902 (2020) - [c63]Yu Cheng, Bo Yang, Bo Wang, Robby T. Tan:
3D Human Pose Estimation Using Spatio-Temporal Networks with Explicit Occlusion Training. AAAI 2020: 10631-10638 - [c62]Xinyu Du, Yu Cheng, Zichen Gu:
Non-classical Receptive Field Models with Inhibitory Subunits for High-speed Railway Image Enhancement. CSAE 2020: 128:1-128:5 - [c61]Yuan Liu, Ruoteng Li, Yu Cheng, Robby T. Tan, Xiubao Sui:
Object Tracking Using Spatio-Temporal Networks for Future Prediction Location. ECCV (22) 2020: 1-17 - [c60]Yu Cheng, Yangzhe Liao, Xiaojun Zhai:
Energy-efficient Resource Allocation for UAV-empowered Mobile Edge Computing System. UCC 2020: 408-413 - [c59]Yu Cheng, Fang Cheng, Bingguang Deng, Jinyan Li, Chengli Mei:
ARQ Algorithm Optimization of Radio Link Control Layer in 5G System. WSSE 2020: 135-140 - [i22]Yu Cheng, Guangzhi Chen, Xiang-Hua Wang, Shunchuan Yang:
Investigation of Numerical Dispersion with Time Step of The FDTD Methods: Avoiding Erroneous Conclusions. CoRR abs/2001.10721 (2020) - [i21]Yu Cheng, Bo Yang, Bo Wang, Robby T. Tan:
3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion Training. CoRR abs/2004.11822 (2020) - [i20]Yiting Li, Yu Cheng, Lu Liu, Sichao Tian, Haiyue Zhu, Cheng Xiang, Prahlad Vadakkepat, Chek Sing Teo, Tong Heng Lee:
Low-shot Object Detection via Classification Refinement. CoRR abs/2005.02641 (2020) - [i19]Yuan Liu, Ruoteng Li, Robby T. Tan, Yu Cheng, Xiubao Sui:
Object Tracking Using Spatio-Temporal Future Prediction. CoRR abs/2010.07605 (2020) - [i18]Jiangtao Kong, Yu Cheng, Benjia Zhou, Kai Li, Junliang Xing:
DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio. CoRR abs/2011.06228 (2020) - [i17]Yu Cheng, Bo Wang, Bo Yang, Robby T. Tan:
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos. CoRR abs/2012.11806 (2020)
2010 – 2019
- 2019
- [j24]Zhi Xiong, Yu Cheng, Lingru Cai, Weihong Cai:
Online Power-Aware Deployment and Load Distribution Optimization for Application Server Clusters. IEEE Access 7: 91080-91092 (2019) - [j23]Ri-Gui Zhou, Han Yu, Yu Cheng, Feng-Xin Li:
Quantum image edge extraction based on improved Prewitt operator. Quantum Inf. Process. 18(9): 261 (2019) - [j22]Ri-Gui Zhou, Yu Cheng, DaQian Liu:
Quantum image scaling based on bilinear interpolation with arbitrary scaling ratio. Quantum Inf. Process. 18(9): 267 (2019) - [j21]Ruijun Cheng, Wei Yu, Yongduan Song, Dewang Chen, Xiaoping Ma, Yu Cheng:
Intelligent Safe Driving Methods Based on Hybrid Automata and Ensemble CART Algorithms for Multihigh-Speed Trains. IEEE Trans. Cybern. 49(10): 3816-3826 (2019) - [j20]Yu Cheng, Kin Yeung Wong, Kevin Hung, Weitong Li, Zhizhong Li, Jun Zhang:
Deep Nearest Class Mean Model for Incremental Odor Classification. IEEE Trans. Instrum. Meas. 68(4): 952-962 (2019) - [c58]Jian Zhao, Yu Cheng, Yi Cheng, Yang Yang, Fang Zhao, Jianshu Li, Hengzhu Liu, Shuicheng Yan, Jiashi Feng:
Look across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition. AAAI 2019: 9251-9258 - [c57]Yu Cheng, Shuo Yang, David Araújo, Yibo Yao, Yantao Yao:
An Interactive Online Audience Extension System. IEEE BigData 2019: 2020-2023 - [c56]Yu Cheng, Jie Wang, Feng Zhu, Zhaohao Ding:
Emission-Aware Microgrid Cluster Energy Management Scheme: A Distributed Trading Approach. IAS 2019: 1-9 - [c55]Meng Yang, Yu Cheng, Yujie Guang, Jianji Wang, Nanning Zheng:
Boundary Recovery of Depth Map for Synthesis View Optimization in 3D Video. ICCE 2019: 1-4 - [c54]Yu Cheng, Bo Yang, Bo Wang, Yan Wending, Robby T. Tan:
Occlusion-Aware Networks for 3D Human Pose Estimation in Video. ICCV 2019: 723-732 - [c53]Yu Cheng, Yanfeng Li, Qiankun Liu, Yuan Yao, Venkata Sai Vijay Kumar Pedapudi, Xiaotian Fan, Chi Su, Shengmei Shen:
A Graph Based Unsupervised Feature Aggregation for Face Recognition. ICCV Workshops 2019: 2711-2720 - [c52]Yu Cheng, Jia Yan, Zhou Wang:
Enhancement of Weakly Illuminated Images by Deep Fusion Networks. ICIP 2019: 924-928 - [c51]Yu Cheng, Hua Yang, Lin Chen:
An Online Crowd Semantic Segmentation Method Based on Reinforcement Learning. ICIP 2019: 2429-2433 - [c50]Wensheng Cheng, Wen Yang, Youqi Pan, Haowen Guo, Yu Cheng:
Context Aggregation Network for Semantic Labeling in Aerial Images. ICIP 2019: 4484-4488 - [c49]Duo Wang, Ming Li, Nir Ben-Shlomo, C. Eduardo Corrales, Yu Cheng, Tao Zhang, Jagadeesan Jayender:
Mixed-Supervised Dual-Network for Medical Image Segmentation. MICCAI (2) 2019: 192-200 - [c48]Lecheng Zheng, Yu Cheng, Jingrui He:
Deep Multimodality Model for Multi-task Multi-view Learning. SDM 2019: 10-18 - [i16]Lecheng Zheng, Yu Cheng, Jingrui He:
Deep Multimodality Model for Multi-task Multi-view Learning. CoRR abs/1901.08723 (2019) - [i15]Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang:
Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding. CoRR abs/1902.03376 (2019) - [i14]Danli Wu, Yu Cheng, Dehan Luo, Kin Yeung Wong, Kevin Hung, Zhijing Yang:
POP-CNN: Predicting Odor's Pleasantness with Convolutional Neural Network. CoRR abs/1903.07821 (2019) - [i13]Duo Wang, Ming Li, Nir Ben-Shlomo, C. Eduardo Corrales, Yu Cheng, Tao Zhang, Jagadeesan Jayender:
Mixed-Supervised Dual-Network for Medical Image Segmentation. CoRR abs/1907.10209 (2019) - [i12]Xiaojiang Yang, Wendong Bi, Yu Cheng, Junchi Yan:
Bridging Disentanglement with Independence and Conditional Independence via Mutual Information for Representation Learning. CoRR abs/1911.10922 (2019) - 2018
- [j19]Yu Cheng, Gerard Gómez, Josep J. Masdemont, Jianping Yuan:
Analysis of the relative dynamics of a charged spacecraft moving under the influence of a magnetic field. Commun. Nonlinear Sci. Numer. Simul. 62: 307-338 (2018) - [j18]Yuan Luo, Yu Cheng, Özlem Uzuner, Peter Szolovits, Justin Starren:
Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes. J. Am. Medical Informatics Assoc. 25(1): 93-98 (2018) - [c47]Ming Xu, Yu Cheng, QiXin Yin:
Toward a Resilient System: The Inspiration from Information Security Management Appliance. AsiaJCIS 2018: 42-46 - [c46]Yan Xu, Xi Ouyang, Yu Cheng, Shining Yu, Lin Xiong, Choon-Ching Ng, Sugiri Pranata, Shengmei Shen, Junliang Xing:
Dual-Mode Vehicle Motion Pattern Learning for High Performance Road Traffic Anomaly Detection. CVPR Workshops 2018: 145-152 - [c45]Jian Zhao, Yu Cheng, Yan Xu, Lin Xiong, Jianshu Li, Fang Zhao, Jayashree Karlekar, Sugiri Pranata, Shengmei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng:
Towards Pose Invariant Face Recognition in the Wild. CVPR 2018: 2207-2216 - [c44]Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng:
Sobolev GAN. ICLR (Poster) 2018 - [c43]Wei Liu, Yisheng Jiang, Shanjie Xu, Guangyi Cao, Wei Du, Yu Cheng:
Mobility-Aware Video Prefetch Caching and Replacement Strategies in Mobile-Edge Computing Networks. ICPADS 2018: 687-694 - [c42]Jian Zhao, Lin Xiong, Yu Cheng, Yi Cheng, Jianshu Li, Li Zhou, Yan Xu, Jayashree Karlekar, Sugiri Pranata, Shengmei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng:
3D-Aided Deep Pose-Invariant Face Recognition. IJCAI 2018: 1184-1190 - [c41]Jian Zhao, Jianshu Li, Yu Cheng, Terence Sim, Shuicheng Yan, Jiashi Feng:
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing. ACM Multimedia 2018: 792-800 - [c40]Zhi Xiong, Ting Guo, Qinkun Zhang, Yu Cheng, Kai Xu:
Android Malware Detection Methods Based on the Combination of Clustering and Classification. NSS 2018: 411-422 - [i11]Yu Cheng, Kin Yeung Wong, Kevin Hung, Zhizhong Li, Weitong Li:
Deep Nearest Class Mean Model for Incremental Odor Classification. CoRR abs/1801.02328 (2018) - [i10]Jian Zhao, Jianshu Li, Yu Cheng, Li Zhou, Terence Sim, Shuicheng Yan, Jiashi Feng:
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing. CoRR abs/1804.03287 (2018) - [i9]Jian Zhao, Yu Cheng, Yi Cheng, Yang Yang, Haochong Lan, Fang Zhao, Lin Xiong, Yan Xu, Jianshu Li, Sugiri Pranata, Shengmei Shen, Junliang Xing, Hengzhu Liu, Shuicheng Yan, Jiashi Feng:
Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition. CoRR abs/1809.00338 (2018) - 2017
- [j17]Yijun Huang, Qiang Meng, Heather L. Evans, William B. Lober, Yu Cheng, Xiaoning Qian, Ji Liu, Shuai Huang:
CHI: A contemporaneous health index for degenerative disease monitoring using longitudinal measurements. J. Biomed. Informatics 73: 115-124 (2017) - [j16]Changyou Zhang, Xiaoya Wang, Jun Feng, Yu Cheng, Cheng Guo:
A car-face region-based image retrieval method with attention of SIFT features. Multim. Tools Appl. 76(8): 10939-10958 (2017) - [c39]Zhaonan Sun, Ying Li, Soumya Ghosh, Yu Cheng, Amrita Mohan, Cristina Sampaio:
A Data-Driven Method for Generating Robust Symptom Onset Indicators in Disease Registry Data. AMIA 2017 - [c38]Xinyu Du, Peng Dai, Shengchun Wang, Yu Cheng, Dan Wu:
Coupled Wilson-Cowan Oscillator Model with Double-Node for Image Enhancement. BigMM 2017: 129-133 - [c37]Hongcai Chen, Yu Cheng, Changyou Zhang:
A Fast Vehicle Detection Approach with Multilayer Perceptron Convolution Layers. ChineseCSCW 2017: 259-260 - [c36]Weitong Li, Yu Cheng, Yuehui Sun, Shaoqiu Xu:
Multi-focus Image Performance Evaluation Method Based on the Extraction and Combination of Multiple Metrics. CIS 2017: 130-134 - [c35]Soumya Ghosh, Zhaonan Sun, Ying Li, Yu Cheng, Amrita Mohan, Cristina Sampaio, Jianying Hu:
An Exploration of Latent Structure in Observational Huntington's Disease Studies. CRI 2017 - [c34]Zhaonan Sun, Ying Li, Soumya Ghosh, Yu Cheng, Amrita Mohan, Cristina Sampaio, Jianying Hu:
Exploring Factors that Associated with Missing Values in Observational Huntington's Disease Study Data. CRI 2017 - [c33]Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogério Schmidt Feris:
Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification. CVPR 2017: 1131-1140 - [c32]Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogério Schmidt Feris:
S3Pool: Pooling with Stochastic Spatial Sampling. CVPR 2017: 4003-4011 - [c31]Yan Xu, Yu Cheng, Jian Zhao, Zhecan Wang, Lin Xiong, Jayashree Karlekar, Hajime Tamura, Tomoyuki Kagaya, Sugiri Pranata, Shengmei Shen, Jiashi Feng, Junliang Xing:
High Performance Large Scale Face Recognition with Multi-cognition Softmax and Feature Retrieval. ICCV Workshops 2017: 1898-1906 - [c30]Yu Cheng, Jian Zhao, Zhecan Wang, Yan Xu, Jayashree Karlekar, Shengmei Shen, Jiashi Feng:
Know You at One Glance: A Compact Vector Representation for Low-Shot Learning. ICCV Workshops 2017: 1924-1932 - [c29]Jianxia Chen, Wei Zhang, Qin Fang, Yu Cheng, Jie Zhang, Xiaoxing Zhang, Miao Jin:
Real-time gas insulation state evaluation model of the gas insulated switchgear. ICNC-FSKD 2017: 1254-1260 - [c28]Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnabás Póczos:
MMD GAN: Towards Deeper Understanding of Moment Matching Network. NIPS 2017: 2203-2213 - [i8]Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnabás Póczos:
MMD GAN: Towards Deeper Understanding of Moment Matching Network. CoRR abs/1705.08584 (2017) - [i7]Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng:
Sobolev GAN. CoRR abs/1711.04894 (2017) - 2016
- [j15]Yu Cheng, Zhigang Jin, Tao Gao, Hongcai Chen, Nikola K. Kasabov:
An improved collaborative representation based classification with regularized least square (CRC-RLS) method for robust face recognition. Neurocomputing 215: 250-259 (2016) - [j14]Yu Cheng, Zhigang Jin, Hongcai Chen, Yanchun Zhang, Xiao-Xia Yin:
A fast and robust face recognition approach combining Gabor learned dictionaries and collaborative representation. Int. J. Mach. Learn. Cybern. 7(1): 47-52 (2016) - [c27]Zhaonan Sun, Yu Cheng, Amos Cahan, Fei Wang, Jianying Hu:
Modelling the Progression of CKD with EMR Data: a Partially Hidden Markov Approach. CRI 2016 - [c26]Jing Wang, Yu Cheng, Rogério Schmidt Feris:
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data. CVPR 2016: 2295-2304 - [c25]Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang:
Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding. ICDM 2016: 749-758 - [c24]Soumya Ghosh, Yu Cheng, Zhaonan Sun:
Deep State Space Models for Computational Phenotyping. ICHI 2016: 399-402 - [c23]