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2020 – today
- 2023
[j40]Xuanyu Zhang
, Hao Zhou, Ke Yu, Xiaofei Wu, Anis Yazidi:
Tsetlin Machine for Sentiment Analysis and Spam Review Detection in Chinese. Algorithms 16(2): 93 (2023)- [j39]Jian Hu, Huan Xie, Yan Lei, Ke Yu:
A light-weight data augmentation method for fault localization. Inf. Softw. Technol. 157: 107148 (2023) - [c63]Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich:
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat. ICML 2023: 11360-11397 - [i25]Nihal Murali, Aahlad Manas Puli, Ke Yu, Rajesh Ranganath, Kayhan Batmanghelich:
Shortcut Learning Through the Lens of Early Training Dynamics. CoRR abs/2302.09344 (2023) - [i24]Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich:
Route, Interpret, Repeat: Blurring the Line Between Post hoc Explainability and Interpretable Models. CoRR abs/2302.10289 (2023) - [i23]Ke Yu, Li Sun, Junxiang Chen, Maxwell Reynolds, Tigmanshu Chaudhary, Kayhan Batmanghelich:
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images. CoRR abs/2302.10390 (2023) - [i22]Shantanu Ghosh, Ke Yu, Kayhan Batmanghelich:
Distilling BlackBox to Interpretable models for Efficient Transfer Learning. CoRR abs/2305.17303 (2023) - [i21]Jiong Cai, Yong Jiang, Yue Zhang, Chengyue Jiang, Ke Yu, Jianhui Ji, Rong Xiao, Haihong Tang, Tao Wang, Zhongqiang Huang, Pengjun Xie, Fei Huang, Kewei Tu:
Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model. CoRR abs/2307.00370 (2023) - [i20]Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich:
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat. CoRR abs/2307.05350 (2023) - 2022
- [j38]Hao Zhou, Ke Yu, Xuan Zhang, Guanlin Wu, Anis Yazidi:
Contrastive autoencoder for anomaly detection in multivariate time series. Inf. Sci. 610: 266-280 (2022) - [j37]Hongwang Xiao, Yun Yang, Ke Yu, Jiao Tian, Xinyi Cai, Usman Muhammad, Jinjun Chen:
Sign language digits and alphabets recognition by capsule networks. J. Ambient Intell. Humaniz. Comput. 13(4): 2131-2141 (2022) - [j36]Ke Yu, Benedikt Dorschner, Tim Colonius:
Multi-resolution lattice Green's function method for incompressible flows. J. Comput. Phys. 459: 110845 (2022) - [j35]Ke Yu, Monicah G. Motlhabane:
WhatsApp's Potential to Broaden Online Teaching and Learning: Perceptions of Undergraduate Students From One South African University. J. Inf. Technol. Educ. Res. 21: 547-569 (2022) - [j34]Yansen Huang, Ke Yu, Ningbo Wu, Juanjuan Chang:
Slope Shape and Edge Intelligent Recognition Technology Based on Deep Neural Sensing Network. J. Sensors 2022: 1-7 (2022) - [j33]Tong Liu, Ke Yu, Lu Wang, Xuanyu Zhang, Hao Zhou, Xiaofei Wu:
Clickbait detection on WeChat: A deep model integrating semantic and syntactic information. Knowl. Based Syst. 245: 108605 (2022) - [j32]Huanyu Cai, Ke Yu, Yuhao Zhou, Xiaofei Wu:
Co-attention Based Feature Fusion Network for Spam Review Detection on Douban. Neural Process. Lett. 54(6): 5251-5271 (2022) - [j31]Ke Yu, Xintao Wang, Chao Dong, Xiaoou Tang, Chen Change Loy:
Path-Restore: Learning Network Path Selection for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7078-7092 (2022) - [j30]Haoyue Wang, Wanlin Wei, Huizheng Che, Xiao Tang, Jianchun Bian, Ke Yu, Weiguo Wang:
Ground-Based MAX-DOAS Measurements of Tropospheric Aerosols, NO2, and HCHO Distributions in the Urban Environment of Shanghai, China. Remote. Sens. 14(7): 1726 (2022) - [j29]Genyi Wan, Ruofei Zhong, Chaohong Wu, Yusheng Xu, Zhen Ye, Ke Yu:
Two-Step Matching Method Based on Co-Occurrence Scale Space Combined with Second-Order Gaussian Steerable Filter. Remote. Sens. 14(23): 5976 (2022) - [j28]Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich:
Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis. IEEE J. Biomed. Health Informatics 26(8): 3966-3975 (2022) - [c62]Gui Jiayi, Ke Yu, Hao Zhou, Xiaofei Wu:
Clickbait Analysis and Detection Method on Chinese Social Media. BigCom 2022: 342-349 - [c61]Xinyi Cai, Jiao Tian, Ke Yu, Hongwang Xiao, Kai Zhang, Pei-Wei Tsai:
Zero-shot Topic Classification via Automatic Tagging on Chinese Text Datasets. ISPA/BDCloud/SocialCom/SustainCom 2022: 482-488 - [c60]Jiao Tian, Xinyi Cai, Kai Zhang, Hongwang Xiao, Ke Yu, Pei-Wei Tsai:
Sliding Focal Loss for Class Imbalance Classification in Federated XGBoost. ISPA/BDCloud/SocialCom/SustainCom 2022: 515-522 - [c59]Ke Yu, Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Kayhan Batmanghelich:
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays. MICCAI (5) 2022: 658-668 - [i19]Ke Yu, Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Kayhan Batmanghelich:
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays. CoRR abs/2206.12704 (2022) - [i18]Eric Loreaux, Ke Yu, Jonas Kemp, Martin Seneviratne, Christina Chen, Subhrajit Roy, Ivan Protsyuk, Natalie Harris, Alexander D'Amour, Steve Yadlowsky, Mingjun Chen:
Boosting the interpretability of clinical risk scores with intervention predictions. CoRR abs/2207.02941 (2022) - [i17]Li Sun, Ke Yu, Kayhan Batmanghelich:
Context-aware Self-supervised Learning for Medical Images Using Graph Neural Network. CoRR abs/2207.02957 (2022) - [i16]Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich:
Hyperbolic Molecular Representation Learning for Drug Repositioning. CoRR abs/2208.06361 (2022) - 2021
- [j27]Quan Xie, Xin-Yue Dong, Ke Yu, Ling-Yu Zhang, Yun-Hua Xu:
Comprehensive Evaluation of Urban Economic Development in Yangtze River Delta Based on Cluster-Principal Component Analysis. Complex. 2021: 3328761:1-3328761:10 (2021) - [j26]Xiaohong Li, Yanling Zhang, Yujuan Li, Ke Yu, Yihua Du:
Study of E-business applications based on big data analysis in modern hospital health management. Inf. Syst. E Bus. Manag. 19(2): 621-640 (2021) - [j25]Zhangjun Yu, Qiuzhao Zhang, Ke Yu, Nanshan Zheng:
A State-Domain Robust Chi-Square Test Method for GNSS/INS Integrated Navigation. J. Sensors 2021: 1-8 (2021) - [j24]Jiaming Zheng, Ke Yu, Xiaofei Wu:
A deep model based on Lure and Similarity for Adaptive Clickbait Detection. Knowl. Based Syst. 214: 106714 (2021) - [j23]Hanqing Guan, Kai Feng, Ke Yu, Dongling Sun, Yuanlong Cao:
Real-Time Control of Rotor Vibrations With Active Bump-Type Foil Bearings. IEEE Trans. Ind. Electron. 68(8): 7412-7421 (2021) - [c58]Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy:
Understanding Deformable Alignment in Video Super-Resolution. AAAI 2021: 973-981 - [c57]Li Sun, Ke Yu, Kayhan Batmanghelich:
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images. AAAI 2021: 4874-4882 - [c56]Junxiang Chen, Li Sun, Ke Yu, Kayhan Batmanghelich:
Extracting Disease-Relevant Features with Adversarial Regularization. BIBM 2021: 3464-3471 - [c55]Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy:
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond. CVPR 2021: 4947-4956 - [c54]Ke Yu, Zexian Li, Yue Peng, Chen Change Loy, Jinwei Gu:
ReconfigISP: Reconfigurable Camera Image Processing Pipeline. ICCV 2021: 4228-4237 - [c53]Huanyu Cai, Ke Yu, Xiaofei Wu:
Co-attention Based Deep Model with Domain-Adversarial Training for Spam Review Detection. ICNCC 2021: 14-18 - [c52]Yuhan Zhao, Zheng Chong, Xueying Han, Zongpeng Du, Ke Yu, Xiaohong Huang:
Simulation Study of Routing Mechanism in the Computing-aware Network. ICNCC 2021: 126-134 - [c51]Tong Liu, Ke Yu, Lu Wang, Xuanyu Zhang, Xiaofei Wu:
WCD: A New Chinese Online Social Media Dataset for Clickbait Analysis and Detection. IC-NIDC 2021: 368-372 - [c50]Ting Li, Ke Yu, Xiaofei Wu:
Hierarchical Cyber Troll Detection with Text and User Behavior. IC-NIDC 2021: 440-444 - [c49]Ke Yu, Hongwang Xiao, Ying Zhao, Jiao Tian, Jinjun Chen:
A Framework for Deep Q-Learning Based Hybrid DVFS Algorithms for Real-Time Systems. ISPA/BDCloud/SocialCom/SustainCom 2021: 900-907 - [c48]Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, Suvrit Sra:
Can contrastive learning avoid shortcut solutions? NeurIPS 2021: 4974-4986 - [c47]Hongwang Xiao, Yun Yang, Ke Yu, Jiao Tian, Xinyi Cai, Ying Zhao, Kai Zhang, Na Guo, Jinjun Chen:
Recognizing Hand Gesture in Still Infrared Images by CapsNet. WISE (1) 2021: 158-172 - [i15]Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, Suvrit Sra:
Can contrastive learning avoid shortcut solutions? CoRR abs/2106.11230 (2021) - [i14]Ke Yu, Zexian Li, Yue Peng, Chen Change Loy, Jinwei Gu:
ReconfigISP: Reconfigurable Camera Image Processing Pipeline. CoRR abs/2109.04760 (2021) - 2020
- [j22]Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich:
Semi-supervised Hierarchical Drug Embedding in Hyperbolic Space. J. Chem. Inf. Model. 60(12): 5647-5657 (2020) - [j21]Benedikt Dorschner, Ke Yu, Gianmarco Mengaldo, Tim Colonius:
A fast multi-resolution lattice Green's function method for elliptic difference equations. J. Comput. Phys. 407: 109270 (2020) - [j20]Chang Song, Ke Yu, Xiaofei Wu:
基于改进边权重的成对马尔可夫随机场模型的社交异常账号检测方法 (Fake Account Detection Method in Online Social Network Based on Improved Edge Weighted Paired Markov Random Field Model). 计算机科学 47(2): 251-255 (2020) - [j19]Zijian Niu, Ke Yu, Xiaofei Wu:
LSTM-Based VAE-GAN for Time-Series Anomaly Detection. Sensors 20(13): 3738 (2020) - [j18]Ke Yu, Hao Jiang, Ting Li, Song Han, Xiaofei Wu:
Data Fusion Oriented Graph Convolution Network Model for Rumor Detection. IEEE Trans. Netw. Serv. Manag. 17(4): 2171-2181 (2020) - [j17]Zhanchuan Wu, Ying Fan, Christopher H. T. Lee, Dawei Gao, Ke Yu:
Vibration Optimization of FSCW-IPM Motor Based on Iron-Core Modification for Electric Vehicles. IEEE Trans. Veh. Technol. 69(12): 14834-14845 (2020) - [c46]Ke Yu, Yun Yang, Hongwang Xiao, Jinjun Chen:
An Improved DVFS Algorithm for Energy-Efficient Real-time Task Scheduling. HPCC/DSS/SmartCity 2020: 263-272 - [c45]Chao Wei, Ke Yu, Xiaofei Wu:
POS Scaling Attention Model for Joint Slot Filling and Intent Classification. ICCT 2020: 1483-1487 - [c44]Ke Yu, Mingda Zhang, Tianyi Cui, Milos Hauskrecht:
Monitoring ICU Mortality Risk with a Long Short-Term Memory Recurrent Neural Network. PSB 2020: 103-114 - [i13]Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich:
Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space. CoRR abs/2006.00986 (2020) - [i12]Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich:
Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN. CoRR abs/2008.01910 (2020) - [i11]Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy:
Understanding Deformable Alignment in Video Super-Resolution. CoRR abs/2009.07265 (2020) - [i10]Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy:
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond. CoRR abs/2012.02181 (2020) - [i9]Li Sun, Ke Yu, Kayhan Batmanghelich:
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images. CoRR abs/2012.06457 (2020)
2010 – 2019
- 2019
- [j16]Ke Yu, Lifang He, Philip S. Yu, Wenkai Zhang, Yue Liu:
Coupled Tensor Decomposition for User Clustering in Mobile Internet Traffic Interaction Pattern. IEEE Access 7: 18113-18124 (2019) - [j15]Yue Liu, Ke Yu, Xiaofei Wu, Linbo Qing, Yonghong Peng:
Analysis and Detection of Health-Related Misinformation on Chinese Social Media. IEEE Access 7: 154480-154489 (2019) - [j14]Ke Yu, Yunhao Chen, Dandan Wang, Zixuan Chen, Adu Gong, Jing Li:
Study of the Seasonal Effect of Building Shadows on Urban Land Surface Temperatures Based on Remote Sensing Data. Remote. Sens. 11(5): 497 (2019) - [j13]Haoyue Wang, Chunyang Zhang, Ke Yu, Xiao Tang, Huizheng Che, Jianchun Bian, Shanshan Wang, Bin Zhou, Rui Liu, Xiaoguang Deng, Xunhao Ma, Zhe Yang, Xiaohang Cao, Yuehua Lu, Yuzhu Wang, Weiguo Wang:
Aerosol Optical Radiation Properties in Kunming (the Low-Latitude Plateau of China) and Their Relationship to the Monsoon Circulation Index. Remote. Sens. 11(24): 2911 (2019) - [c43]Xintao Wang, Ke Yu, Chao Dong, Xiaoou Tang, Chen Change Loy:
Deep Network Interpolation for Continuous Imagery Effect Transition. CVPR 2019: 1692-1701 - [c42]Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy:
EDVR: Video Restoration With Enhanced Deformable Convolutional Networks. CVPR Workshops 2019: 1954-1963 - [c41]Seungjun Nah, Radu Timofte, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Hyeonjun Sim, Munchurl Kim, Dongwon Park, Jisoo Kim, Se Young Chun, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Rahul Kumar Gupta, Vishal M. Chudasama, Heena Patel, Kishor P. Upla, Hongfei Fan, Guo Li, Yumei Zhang, Xiang Li, Wenjie Zhang, Qingwen He, Kuldeep Purohit, A. N. Rajagopalan, Jeonghun Kim, Mohammad Tofighi, Tiantong Guo, Vishal Monga:
NTIRE 2019 Challenge on Video Deblurring: Methods and Results. CVPR Workshops 2019: 1974-1984 - [c40]Seungjun Nah, Radu Timofte, Shuhang Gu, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Xiao Liu, Chao Li, Dongliang He, Yukang Ding, Shilei Wen, Fatih Porikli, Ratheesh Kalarot, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Hang Dong, Xinyi Zhang, Zhe Hu, Kwan-Young Kim, Dong Un Kang, Se Young Chun, Kuldeep Purohit, A. N. Rajagopalan, Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu, A. Murat Tekalp, M. Akin Yilmaz, Cansu Korkmaz, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Rudrabha Mukhopadhyay, Ankit Shukla, Dheeraj Khanna, A. S. Mandal, Santanu Chaudhury, Si Miao, Yongxin Zhu, Xiao Huo:
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. CVPR Workshops 2019: 1985-1995 - [i8]Ke Yu, Xintao Wang, Chao Dong, Xiaoou Tang, Chen Change Loy:
Path-Restore: Learning Network Path Selection for Image Restoration. CoRR abs/1904.10343 (2019) - [i7]Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy:
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks. CoRR abs/1905.02716 (2019) - 2018
- [j12]Ke Yu, Yue Liu, Linbo Qing, Binbin Wang, Yongqiang Cheng:
Positive and Unlabeled Learning for User Behavior Analysis Based on Mobile Internet Traffic Data. IEEE Access 6: 37568-37580 (2018) - [j11]Ke Yu, Xiaohong Li, Feng Wang, Yihua Du:
Research on the Realization of Remote Clinical Skills Training. J. Medical Syst. 42(11): 203:1-203:5 (2018) - [c39]Shiyue Zhang, Zheng Hu, Chunhong Zhang, Ke Yu:
History-Based Article Quality Assessment on Wikipedia. BigComp 2018: 1-8 - [c38]Qingqing Chen, Zheng Hu, Hang Su, Xiaosheng Tang, Ke Yu:
Understanding Travel Patterns of Tourists from Mobile Phone Data: A Case Study in Hainan. BigComp 2018: 45-51 - [c37]Boda Han, Xiaosheng Tang, Zheng Hu, Ke Yu:
A Map Matching Algorithm for Complex Road Conditions Based on Base Station Data. BigComp 2018: 426-431 - [c36]Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy:
Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform. CVPR 2018: 606-615 - [c35]Ke Yu, Chao Dong, Liang Lin, Chen Change Loy:
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning. CVPR 2018: 2443-2452 - [c34]Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, Chen Change Loy:
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. ECCV Workshops (5) 2018: 63-79 - [i6]Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy:
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform. CoRR abs/1804.02815 (2018) - [i5]Ke Yu, Chao Dong, Liang Lin, Chen Change Loy:
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning. CoRR abs/1804.03312 (2018) - [i4]Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Chen Change Loy, Yu Qiao, Xiaoou Tang:
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. CoRR abs/1809.00219 (2018) - [i3]Yubin Deng, Ke Yu, Dahua Lin, Xiaoou Tang, Chen Change Loy:
Improving On-policy Learning with Statistical Reward Accumulation. CoRR abs/1809.02387 (2018) - [i2]Xintao Wang, Ke Yu, Chao Dong, Xiaoou Tang, Chen Change Loy:
Deep Network Interpolation for Continuous Imagery Effect Transition. CoRR abs/1811.10515 (2018) - 2017
- [j10]Kunyin Guo, Ke Yu, Dan Yang, Lei Wu, Yuandou Wang:
Performance Estimation of Fault-prone Infrastructure-as-a-Service Cloud Computing Systems and their Cost-aware Optimal Performance Determination. Mob. Networks Appl. 22(4): 662-673 (2017) - [c33]Binbin Wang, Ke Yu, Xiaofei Wu, Fang Wei, Wan Jiang, Di Pan:
Positive and Unlabeled Learning for Mobile App User and Server Interaction Prediction. ChinaCom (1) 2017: 481-491 - [c32]Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jae Jun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo:
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121 - [c31]Jie Gu, Fang Wei, Ke Yu, Rui Cao, Yazhou Shi:
Predicting inquiry and purchase intention of users on automobile websites. ICCC 2017: 1-6 - [c30]Di Pan, Ke Yu, Xiaofei Wu, Binbin Wang, Yaowen Tan:
E-commerce user behavior classification based on URL information from telecom DPI data. ICCC 2017: 1-6 - [c29]Zhuo Shi, Yalei An, Songhua Xu, Zhongshuai Wang, Ke Yu, Xiaonan Luo:
Mesh Simplification Method Based on Reverse Interpolation Loop Subdivision. ICCMS 2017: 141-145 - [c28]Xiaotong Suo, Fang Wei, Ke Yu:
Entity Recommendation Via Integrating Multiple Types of Implicit Feedback in Heterogeneous Information Network. ICDM Workshops 2017: 781-786 - [c27]Chuting Wu, Tianshu Yin, Shuaijun Ge, Ke Yu:
Ensemble Learning for Crowd Flows Prediction on Campus. SmartCom 2017: 103-113 - [c26]Yaowen Tan, Ke Yu, Xiaofei Wu, Di Pan, Yang Liu:
Predicting App Usage Based on Link Prediction in User-App Bipartite Network. SmartCom 2017: 191-205 - [c25]Feifei Liu, Fang Wei, Ke Yu, Xiaofei Wu:
Sentiment Classification of Reviews on Automobile Websites by Combining Word2Vec and Dependency Parsing. SmartCom 2017: 206-221 - 2016
- [j9]Kunyi Guo, Ke Yu, Shanchen Pang, Dan Yang, Jun Huang, Yunni Xia, Xin Luo, Jia Li:
On the performance and power consumption analysis of elastic clouds. Concurr. Comput. Pract. Exp. 28(17): 4367-4384 (2016) - [c24]Ke Yu, Qiuzhi Liu, Yuqing Zheng, Tiejun Zhao, Dequan Zheng:
History question classification and representation for Chinese Gaokao. IALP 2016: 129-132 - [c23]Yuanying Peng, Ke Yu:
User behavior analysis of automobile websites based on distributed computing and sequential pattern mining. IC-NIDC 2016: 84-88 - [i1]Ke Yu, Chao Dong, Chen Change Loy, Xiaoou Tang:
Deep Convolution Networks for Compression Artifacts Reduction. CoRR abs/1608.02778 (2016) - 2015
- [j8]Ke Yu, Frank Y. Li, Xiaofei Wu, Jiaxi Di:
The heterogeneity of inter-domain Internet application flows: entropic analysis and flow graph modelling. Trans. Emerg. Telecommun. Technol. 26(5): 760-771 (2015) - [c22]Gang Zhou, Yunni Xia, Ke Yu, Qiang Chen, Ping Gu:
A Queuing-Network-Based Approach to Performance Evaluation of Service Compositions. ICEBE 2015: 135-140 - 2014
- [j7]Ke Yu, Jie Zhang, Minjun Chen, Xiaowei Xu, Ayako Suzuki, Katarina Ilic, Weida Tong:
Mining hidden knowledge for drug safety assessment: topic modeling of LiverTox as a case study. BMC Bioinform. 15(S-17): S6 (2014) - [j6]Xiaofei Wu, Xin Wang, Ke Yu, Frank Y. Li:
A measurement-based study on the correlations of inter-domain Internet application flows. Comput. Networks 58: 127-140 (2014) - [c21]Hasan S. Mir, Indu P. Prasad, Ke Yu, Nitish V. Thakor, Hasan Al-Nashash:
ERP signal estimation from single trial EEG. EMBC 2014: 2989-2992 - [c20]Pei-Yun Sabrina Hsueh, Sreeram Ramakrishnan, Ke Yu, Marina Akushevich, Shweta Sharma, Peter Mooiweer:
Development of Temporal Context-based Feature Abstractions for Enabling Monitoring and Managing of Interventions. MIE 2014: 471-475 - [c19]Xinyu Zhang, Ke Yu, Jin Yang, Chunying Xu:
A sliding-window-based graph model for dynamic characteristics analysis of Internet traffic. VITAE 2014: 1-5 - [c18]Qizhao Zhou, Ke Yu, Xiaofei Wu, Jiaxi Di, Xinyu Zhang:
Self-Similarity Analysis of Mobile Instant Messaging Applications' Traffic and Server. VTC Fall 2014: 1-6 - 2013
- [c17]Kaiquan Shen, Ke Yu, Aishwarya Bandla, Yu Sun, Nitish V. Thakor, Xiaoping Li:
Multiple time-lag canonical correlation analysis for removing muscular artifacts in EEG. EMBC 2013: 6792-6795 - [c16]