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ORCIDYu Cheng
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.
Other persons with the same name
- Yu Cheng 0001
![[0000-0002-2315-5641]](https://dblp1.uni-trier.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
- Yu Cheng 0008 — Microsoft Research AI, Redmond, WA, USA
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2020 – today
- 2020
[j51]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)- [j50]Xinyu Du, Yu Cheng, Zichen Gu:
Change Detection: The Framework of Visual Inspection System for Railway Plug Defects. IEEE Access 8: 152161-152172 (2020) - [j49]Yu Cheng, Li Wang:
A location model for capacitated alternative-fuel stations with uncertain traffic flows. Comput. Ind. Eng. 145: 106486 (2020) - [j48]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) - [j47]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) - [j46]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) - [c87]Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig:
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. AAAI 2020: 7969-7976 - [c86]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 - [c85]Yichen Huang, Yizhe Zhang, Oussama Elachqar, Yu Cheng:
INSET: Sentence Infilling with INter-SEntential Transformer. ACL 2020: 2502-2515 - [c84]Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu:
BachGAN: High-Resolution Image Synthesis From Salient Object Layout. CVPR 2020: 8362-8371 - [c83]Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu:
Violin: A Large-Scale Dataset for Video-and-Language Inference. CVPR 2020: 10897-10907 - [c82]Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu:
FreeLB: Enhanced Adversarial Training for Natural Language Understanding. ICLR 2020 - [c81]Yu Cheng, Zhe Gan, Yitong Li, Jingjing Liu, Jianfeng Gao:
Sequential Attention GAN for Interactive Image Editing. ACM Multimedia 2020: 4383-4391 - [i36]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) - [i35]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) - [i34]Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu:
APo-VAE: Text Generation in Hyperbolic Space. CoRR abs/2005.00054 (2020) - [i33]Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu:
Contextual Text Style Transfer. CoRR abs/2005.00136 (2020) - [i32]Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu:
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training. CoRR abs/2005.00200 (2020) - [i31]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) - [i30]Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu:
Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models. CoRR abs/2005.07310 (2020) - [i29]Yu Cheng, Debmalya Panigrahi, Kevin Sun:
Sparsification of Balanced Directed Graphs. CoRR abs/2006.01975 (2020) - [i28]Zhe Gan, Yen-Chun Chen, Linjie Li, Chen Zhu, Yu Cheng, Jingjing Liu:
Large-Scale Adversarial Training for Vision-and-Language Representation Learning. CoRR abs/2006.06195 (2020) - [i27]Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein:
Adaptive Learning Rates with Maximum Variation Averaging. CoRR abs/2006.11918 (2020) - [i26]Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu:
Graph Optimal Transport for Cross-Domain Alignment. CoRR abs/2006.14744 (2020) - [i25]Shuohang Wang, Luowei Zhou, Zhe Gan, Yen-Chun Chen, Yuwei Fang, Siqi Sun, Yu Cheng, Jingjing Liu:
Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding. CoRR abs/2009.06097 (2020) - [i24]Siqi Sun, Zhe Gan, Yu Cheng, Yuwei Fang, Shuohang Wang, Jingjing Liu:
Contrastive Distillation on Intermediate Representations for Language Model Compression. CoRR abs/2009.14167 (2020) - [i23]Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu:
Efficient Robust Training via Backward Smoothing. CoRR abs/2010.01278 (2020) - [i22]Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu:
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective. CoRR abs/2010.02329 (2020) - [i21]Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu:
Multi-Fact Correction in Abstractive Text Summarization. CoRR abs/2010.02443 (2020) - [i20]Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jing Jiang, Jingjing Liu:
Cross-Thought for Sentence Encoder Pre-training. CoRR abs/2010.03652 (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)
2010 – 2019
- 2019
- [j45]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) - [j44]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) - [j43]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) - [j42]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) - [j41]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) - [c80]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 - [c79]Yu Cheng, Shuo Yang, David Araújo, Yibo Yao, Yantao Yao:
An Interactive Online Audience Extension System. BigData 2019: 2020-2023 - [c78]Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Bill Dolan, Ming-Ting Sun:
Domain Adaptive Text Style Transfer. EMNLP/IJCNLP (1) 2019: 3302-3311 - [c77]Yu Cheng, Jie Wang, Feng Zhu, Zhaohao Ding:
Emission-Aware Microgrid Cluster Energy Management Scheme: A Distributed Trading Approach. IAS 2019: 1-9 - [c76]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 - [c75]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 - [c74]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 - [c73]Yu Cheng, Jia Yan, Zhou Wang:
Enhancement of Weakly Illuminated Images by Deep Fusion Networks. ICIP 2019: 924-928 - [c72]Yu Cheng, Hua Yang, Lin Chen:
An Online Crowd Semantic Segmentation Method Based on Reinforcement Learning. ICIP 2019: 2429-2433 - [c71]Wensheng Cheng, Wen Yang, Youqi Pan, Haowen Guo, Yu Cheng:
Context Aggregation Network for Semantic Labeling in Aerial Images. ICIP 2019: 4484-4488 - [c70]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 - [c69]Lecheng Zheng, Yu Cheng, Jingrui He:
Deep Multimodality Model for Multi-task Multi-view Learning. SDM 2019: 10-18 - [i18]Lecheng Zheng, Yu Cheng, Jingrui He:
Deep Multimodality Model for Multi-task Multi-view Learning. CoRR abs/1901.08723 (2019) - [i17]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) - [i16]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) - [i15]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) - [i14]Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Ming-Ting Sun, Bill Dolan:
Domain Adaptive Text Style Transfer. CoRR abs/1908.09395 (2019) - [i13]Yichen Huang, Yizhe Zhang, Oussama Elachqar, Yu Cheng:
INSET: Sentence Infilling with Inter-sentential Generative Pre-training. CoRR abs/1911.03892 (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
- [j40]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) - [j39]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) - [c68]Ming Xu, Yu Cheng, QiXin Yin:
Toward a Resilient System: The Inspiration from Information Security Management Appliance. AsiaJCIS 2018: 42-46 - [c67]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 - [c66]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 - [c65]Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng:
Sobolev GAN. ICLR (Poster) 2018 - [c64]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 - [c63]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 - [c62]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 - [c61]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
- [j38]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) - [j37]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) - [j36]Ronghui Hou, Yu Cheng, Jiandong Li, Min Sheng, King-Shan Lui:
Capacity of Hybrid Wireless Networks With Long-Range Social Contacts Behavior. IEEE/ACM Trans. Netw. 25(2): 834-848 (2017) - [j35]Han-Bae Kong, Ping Wang, Dusit Niyato, Yu Cheng:
Modeling and Analysis of Wireless Sensor Networks With/Without Energy Harvesting Using Ginibre Point Processes. IEEE Trans. Wirel. Commun. 16(6): 3700-3713 (2017) - [c60]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 - [c59]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 - [c58]Hongcai Chen, Yu Cheng, Changyou Zhang:
A Fast Vehicle Detection Approach with Multilayer Perceptron Convolution Layers. ChineseCSCW 2017: 259-260 - [c57]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 - [c56]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 - [c55]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 - [c54]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 - [c53]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 - [c52]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 - [c51]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 - [c50]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 - [c49]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
- [j34]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) - [j33]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) - [j32]Chengchen Hu, Hao Li, Yuming Jiang, Yu Cheng, Poul E. Heegaard:
Deep semantics inspection over big network data at wire speed. IEEE Netw. 30(1): 18-23 (2016) - [c48]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 - [c47]Jing Wang, Yu Cheng, Rogério Schmidt Feris:
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data. CVPR 2016: 2295-2304 - [c46]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 - [c45]Soumya Ghosh, Yu Cheng, Zhaonan Sun:
Deep State Space Models for Computational Phenotyping. ICHI 2016: 399-402 - [c44]Yu Cheng, Nalini K. Ratha, Sharath Pankanti:
Outlier faces detector via efficient cohesive subgraph identification. ICIP 2016: 1659-1663 - [c43]Yun-Fu Liu, Jing-Ming Guo, Yu Cheng:
Adaptive block truncation coding image compression technique using optimized dot diffusion. ICIP 2016: 2137-2141 - [c42]Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang:
Deep Structured Energy Based Models for Anomaly Detection. ICML 2016: 1100-1109 - [c41]Jianxia Chen, Qin Fang, Yu Cheng, Pulin Gong, Fang Hao, Ji Ma, Jinyang You, Baoshuai Liu:
A novel public security cases knowledge navigation system based topic maps. ICNC-FSKD 2016: 2178-2183 - [c40]Shuangfei Zhai, Yu Cheng, Zhongfei (Mark) Zhang, Weining Lu:
Doubly Convolutional Neural Networks. NIPS 2016: 1082-1090 - [c39]Yu Cheng, Fei Wang, Ping Zhang, Jianying Hu:
Risk Prediction with Electronic Health Records: A Deep Learning Approach. SDM 2016: 432-440 - [i6]Jing Wang, Yu Cheng, Rogério Schmidt Feris:
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data. CoRR abs/1604.06433 (2016) - [i5]Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang:
Deep Structured Energy Based Models for Anomaly Detection. CoRR abs/1605.07717 (2016) - [i4]Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang:
Doubly Convolutional Neural Networks. CoRR abs/1610.09716 (2016) - [i3]Shuangfei Zhai, Yu Cheng, Rogério Schmidt Feris, Zhongfei Zhang:
Generative Adversarial Networks as Variational Training of Energy Based Models. CoRR abs/1611.01799 (2016) - [i2]Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogério Schmidt Feris:
S3Pool: Pooling with Stochastic Spatial Sampling. CoRR abs/1611.05138 (2016) - [i1]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. CoRR abs/1611.05377 (2016) - 2015
- [j31]Chaoyi Pang, Junhu Wang, Yu Cheng, Hao Lan Zhang, Tongliang Li:
Topological sorts on DAGs. Inf. Process. Lett. 115(2): 298-301 (2015) - [j30]Yu Liu, Bin Guo, Chi Zhou, Yu Cheng:
Network-coded cooperative information recovery in cellular/802.11 mobile Networks. J. Netw. Comput. Appl. 51: 59-67 (2015) - [j29]Kejie Lu, Shucheng Liu, Fred Feisullin, Mehmet Ersue, Yu Cheng:
Network function virtualization: opportunities and challenges [Guest editorial]. IEEE Netw. 29(3): 4-5 (2015) - [c38]Changyou Zhang, Xiaoya Wang, Jun Feng, Yu Cheng:
SiftKeyPre: A Vehicle Recognition Method Based on SIFT Key-Points Preference in Car-Face Image. CCCV (2) 2015: 344-358 - [c37]Yu Cheng:
A reversible data hiding method based on OWD predictor. ICMV 2015: 98750Z - [c36]Ronghui Hou, Yu Cheng, Jiandong Li, Min Sheng, King-Shan Lui:
Capacity analysis of hybrid wireless networks with long-range social contacts behavior. INFOCOM 2015: 2209-2217 - [c35]Adriana Schulz, Cynthia R. Sung, Andrew Spielberg, Wei Zhao, Yu Cheng, Ankur M. Mehta, Eitan Grinspun, Daniela Rus, Wojciech Matusik:
Interactive robogami: data-driven design for 3D print and fold robots with ground locomotion. SIGGRAPH Studio 2015: 1:1 - 2014
- [j28]Min Gan, Yu Cheng, Kai Liu, Gang-lin Zhang:
Seasonal and trend time series forecasting based on a quasi-linear autoregressive model. Appl. Soft Comput. 24: 13-18 (2014) - [j27]Ming Cui, Kai Fu, Dong Liang, Yu Cheng, Wenqia Wang:
Numerical analysis of the second-order characteristic FEM for nonlinear aerosol dynamic equations. J. Comput. Appl. Math. 261: 48-61 (2014) - [j26]Yi Huang, Mohammad Esmalifalak, Yu Cheng, Husheng Li, Kristy A. Campbell, Zhu Han:
Adaptive Quickest Estimation Algorithm for Smart Grid Network Topology Error. IEEE Syst. J. 8(2): 430-440 (2014) - [c34]Changyou Zhang, Bo Huang, Hongcai Chen, Yu Cheng, Li Wang, Ting Wang:
Cloud-Based Car Image Retrieval with Interactive Script. HCC 2014: 584-597 - [c33]Shan Zhang, Sheng Zhou, Zhisheng Niu, Yu Cheng:
A practical channel allocation scheme based on the weighted conflict graph in heterogeneous networks. ICCC 2014: 615-620 - [c32]Yu Cheng, Zhigang Jin, Cunming Hao, Xingsen Li:
Illumination Invariant Face Recognition with Particle Swarm Optimization. ICDM Workshops 2014: 862-866 - 2013
- [j25]Haiying Liu, Yu Cheng, Max Q.-H. Meng:
A variational Multiphase Level Set Algorithm for Image Segmentation Based on Active Contour Model.