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ORCIDHao Wu 0022
Person information
- affiliation: Beijing Normal University, College of Information Science and Technology, China
- affiliation (PhD 2015): Beijing Jiaotong University, School of Computer and Information Technology, China
- affiliation (2013 - 2015): Lawrence Berkeley National Laboratory, CA, USA
Other persons with the same name
- Hao Wu — disambiguation page
- Hao Wu 0001 — Google Inc., Mountain View, CA, USA (and 1 more)
- Hao Wu 0002 — The Fields Institute for Reserach in Mathematical Sciences, Toronto, Canada
- Hao Wu 0003
![[0000-0003-1269-7354]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1269-7354")
— Emory University, Biostatistics and Bioinformatics, Atlanta, GA, USA (and 1 more) - Hao Wu 0004 — Central China Normal University, College of Urban and Environmental Sciences, Wuhan, China (and 2 more)
- Hao Wu 0005 — Beijing Jiaotong University, State Key Lab of Rail Traffic Control and Safety, China
- Hao Wu 0006 — PLA University of Science and Technology, College of Communications Engineering, Nanjing, China
- Hao Wu 0007 (aka: Tony Hao Wu) — Shenzhen University, Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China (and 1 more)
- Hao Wu 0008 — Network Information Security Institute, CNCERT/CC, Beijing, China (and 1 more)
- Hao Wu 0009 — ZTE Corporation, Department of Wireless Product Research / Development Institute, Shenzhen, China
- Hao Wu 0010 — Yunnan University, School of Information Science and Engineering, Kunming, China (and 1 more)
- Hao Wu 0011 — Fudan University, School of Computer Science, Shanghai, China
- Hao Wu 0012 — TuSimple, San Diego, CA, USA (and 1 more)
- Hao Wu 0013 — RWTH Aachen University, Germany
- Hao Wu 0014 — University of Maryland, College Park, MD, USA
- Hao Wu 0015 — Yunnan University, Department of Computer Science and Engineering, Kunming, China
- Hao Wu 0016 — Fudan University, School of Mathematical Sciences, Shanghai, China
- Hao Wu 0017 — Maynooth University, Department of Computer Science, Ireland
- Hao Wu 0018 — Rubrik Inc., Palo Alto, CA, USA (and 1 more)
- Hao Wu 0019 — Xi'an Jiaotong University, School of Electronic and Information Engineering, China
- Hao Wu 0020 — Northeastern University, Boston, MA, USA
- Hao Wu 0021 — Illinois Institute of Technology, Chicago, IL, USA
- Hao Wu 0023 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Hao Wu 0024 — Dalian University of Technology, School of Software Technology, China
- Hao Wu 0025 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Hao Wu 0026 — Broadcom Inc., Irvine, CA, USA (and 1 more)
- Hao Wu 0027 — Hunan University, College of Finance and Statistics, Changsha, China
- Hao Wu 0028 — Huazhong University of Science and Technology, School of Mechanical Science and Engineering, Wuhan, China
- Hao Wu 0029 — Sichuan University of Science and Engineering, Artificial Intelligence Key Laboratory of Sichuan Province, Yibin, China (and 1 more)
- Hao Wu 0030 — Wuhan University of Science and Technology, MOE Key Laboratory of Metallurgical Equipment and Control Technology, China
- Hao Wu 0031 — National University of Defense Technology, College of Electronic Science, Changsha, China
- Hao Wu 0032 — Hubei University, School of Computer and Information Engineering, Research Center of Educational Informatization Engineering and Technology, Wuhan, China
- Hao Wu 0034 — University of Pennsylvania, Philadelphia, PA, USA (and 1 more)
- Hao Wu 0035 — Tongji University, School of Mathematical Sciences, Shanghai, China (and 1 more)
- Hao Wu 0036 — University of Delaware, Department of Electrical and Computer Engineering, Newark, DE, USA
- Hao Wu 0037 — University of Houston, Department of Electrical and Computer Engineering, Hyperspectral Image Analysis Lab, Houston, TX, USA
- Hao Wu 0038 — University of Strathclyde, Glasgow, UK
- Hao Wu 0039 — JiangNan University, Wuxi, China
- Hao Wu 0040 — National University of Defense Technology, State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, China
- Hao Wu 0041 — Google, Mountain View, CA, USA (and 1 more)
- Hao Wu 0042 — University of Science and Technology of China, EEIS Department, CAS Key Laboratory of Wireless Optical Communication, Hefei, China
- Hao Wu 0043 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China
- Hao Wu 0044 — Tianjin University of Science and Technology, College of Mechanical Engineering, Tianjin, China
- Hao Wu 0045 — Sichuan University, College of Mathematics, Chengdu, China
- Hao Wu 0046 — Wuhan University, School of Urban Design, Department of Graphics and Digital Technology, Wuhan, China
- Hao Wu 0047 — University of Alabama, Department of Geological Sciences, Tuscaloosa, AL, USA
- Hao Wu 0048 — Southwest Jiaotong University, State Key Laboratory of Traction Power, Chengdu, China
- Hao Wu 0049 — State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
- Hao Wu 0050 — Central South University, School of Resources and Safety Engineering, Changsha, China
- Hao Wu 0051 — Zhejiang University, College of Electrical Engineering, Hangzhou, China
- Hao Wu 0052 — University of Jinan, School of Materials Science and Engineering, Jinan, China
- Hao Wu 0053 — Tongji University, School of Automotive Studies, Shanghai, China
- Hao Wu 0054 — Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing, China
- Hao Wu 0055 — Vanderbilt University, Department of Psychology and Human Development, Nashville, TN, USA (and 2 more)
- Hao Wu 0056 — University of Aberdeen, Scotland, UK
- Hao Wu 0057 — School of Computing and Information Systems, The University of Melbourne, Australia
- Hao Wu 0058 — University of Warwick, Department of Computer Science, Coventry, UK
- Hao Wu 0059 — Tokyo Institute of Technology, Japan
- Hao Wu 0060 — Tsinghua University, Department of Mathematical Sciences, Beijing, China
- Hao Wu 0061 — Southwest University, College of Computer and Information Science, Chongqing, China (and 2 more)
- Hao Wu 0062 — Shandong University, School of Software, Jinan, China (and 1 more)
- Hao Wu 0063 — Tianjin University, School of Civil Engineering, Tianjin, China
- Hao Wu 0064 — Macquarie University, Faculty of Computer Science, NSW, Australia (and 1 more)
- Hao Wu 0065 — Shandong University, School of Control Science and Engineering, Jinan, China
- Hao Wu 0066 — Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China
- Hao Wu 0067 — Nanjing University, State Key Laboratory for Novel Software Technology, Nanjing, China
- Hao Wu 0068 — Case Western Reserve University, Cleveland, OH, USA
- Hao Wu 0069 — TuSimple, San Diego, CA, USA
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2020 – today
- 2020
[j22]Shuaijing Xu, Xiaoyilei Yang, Junqi Guo, Hao Wu, Guangzhi Zhang, Rongfang Bie:
Cxnet-M3: A Deep Quintuplet Network for Multi-Lesion Classification in Chest X-Ray Images Via Multi-Label Supervision. IEEE Access 8: 98693-98704 (2020)- [j21]Hao Wu, Rongfang Bie, Charith Pereira, Omer F. Rana:
Special Issue: Identification, Information, and Knowledge in the Internet of Things. Softw. Pract. Exp. 50(11): 2011 (2020) - [j20]Junqi Guo, Yazhu Dai, Chixiang Wang, Hao Wu, Tianyou Xu, Kai Lin:
A physiological data-driven model for learners' cognitive load detection using HRV-PRV feature fusion and optimized XGBoost classification. Softw. Pract. Exp. 50(11): 2046-2064 (2020) - [c8]Haodi Wang, Libin Jiao, Rongfang Bie, Hao Wu:
Semantic Inpainting with Multi-dimensional Adversarial Network and Wasserstein Distance. PRCV (3) 2020: 78-88
2010 – 2019
- 2019
- [j19]Shuaijing Xu, Hao Wu, Rongfang Bie:
CXNet-m1: Anomaly Detection on Chest X-Rays With Image-Based Deep Learning. IEEE Access 7: 4466-4477 (2019) - [j18]Libin Jiao, Hao Wu, Haodi Wang, Rongfang Bie:
Multi-scale semantic image inpainting with residual learning and GAN. Neurocomputing 331: 199-212 (2019) - [j17]Hao Wu, Rongfang Bie, Junqi Guo, Xin Meng, Shenling Wang:
Sparse coding based few learning instances for image retrieval. Multim. Tools Appl. 78(5): 6033-6047 (2019) - [j16]Hao Wu, Yueli Li, Jie Xiong, Xiaohan Bi, Linna Zhang, Rongfang Bie, Junqi Guo:
Weighted-learning-instance-based retrieval model using instance distance. Mach. Vis. Appl. 30(1): 163-176 (2019) - 2018
- [j15]Chao Zhang, Hao Wu, Rongfang Bie, Rashid Mehmood, Anton Kos:
Dynamic Modeling of Failure Events in Preventative Pipe Maintenance. IEEE Access 6: 12539-12550 (2018) - [j14]Libin Jiao, Hao Wu, Haodi Wang, Rongfang Bie:
Text Recovery via Deep CNN-BiLSTM Recognition and Bayesian Inference. IEEE Access 6: 76416-76428 (2018) - [j13]Libin Jiao, Rongfang Bie, Hao Wu, Yu Wei, Jixin Ma, Anton Umek, Anton Kos:
Golf swing classification with multiple deep convolutional neural networks. Int. J. Distributed Sens. Networks 14(10) (2018) - [j12]Junqi Guo, Ke Shan, Hao Wu, Rongfang Bie, Wenwan You, Di Lu:
Research on Facial Expression Recognition Technology Based on Convolutional-Neural-Network Structure. Int. J. Softw. Innov. 6(4): 103-116 (2018) - [j11]Libin Jiao, Hao Wu, Rongfang Bie, Anton Umek, Anton Kos:
Towards Real-Time Multi-Sensor Golf Swing Classification Using Deep CNNs. J. Database Manag. 29(3): 17-42 (2018) - [j10]Hao Wu, Yueli Li, Xiaohan Bi, Linna Zhang, Rongfang Bie, Yingzhuo Wang:
Joint entropy based learning model for image retrieval. J. Vis. Commun. Image Represent. 55: 415-423 (2018) - [j9]Chao Zhang, Junchi Yan, Changsheng Li, Hao Wu, Rongfang Bie:
End-to-end learning for image-based air quality level estimation. Mach. Vis. Appl. 29(4): 601-615 (2018) - [c7]Haodi Wang, Libin Jiao, Hao Wu, Rongfang Bie:
New Inpainting Algorithm Based on Simplified Context Encoders and Multi-Scale Adversarial Network. IIKI 2018: 254-263 - [c6]Xiaoyilei Yang, Shuaijing Xu, Hao Wu, Rongfang Bie:
Sentiment Analysis of Weibo Comment Texts Based on Extended Vocabulary and Convolutional Neural Network. IIKI 2018: 361-368 - [c5]Yuqi Yang, Rongfang Bie, Hao Wu, Shuaijing Xu, Liangchi Li:
Semi-supervised Power Iteration Clustering. IIKI 2018: 588-595 - [c4]Xiaohan Bi, Huating Xu, Yuan Yao, Hao Wu:
Semantic Validation Based Massive Image Composition. IIKI 2018: 605-612 - [c3]Chuyang Li, Guangzhi Zhang, Rongfang Bie, Hao Wu, Yuqi Yang, Jiguo Yu, Xianlin Ma:
Cancer-Drug Interaction Network Construction and Drug Target Prediction Based on Multi-source Data. WASA 2018: 223-235 - 2017
- [j8]Jiaji Wang, Zhenjiang Miao, Hao Guo, Ziming Zhou, Hao Wu:
Using automatic generation of Labanotation to protect folk dance. J. Electronic Imaging 26(1): 11028 (2017) - [j7]Yueli Li, Rongfang Bie, Chenyun Zhang, Zhenjiang Miao, Yuqi Wang, Jiajing Wang, Hao Wu:
Optimized learning instance-based image retrieval. Multim. Tools Appl. 76(15): 16749-16766 (2017) - [c2]Libin Jiao, Hao Wu, Rongfang Bie, Anton Umek, Anton Kos:
Multi-sensor Golf Swing Classification Using Deep CNN. IIKI 2017: 59-65 - 2016
- [j6]Hao Wu, Yueli Li, Zhenjiang Miao, Yuqi Wang, Runsheng Zhu, Rongfang Bie, Yi Wang:
Creative and high-quality image composition based on a new criterion. J. Vis. Commun. Image Represent. 38: 100-114 (2016) - [j5]Hao Wu, Yueli Li, Zhenjiang Miao, Yuqi Wang, Runsheng Zhu, Rongfang Bie, Rui Lie:
A new sampling algorithm for high-quality image matting. J. Vis. Commun. Image Represent. 38: 573-581 (2016) - [j4]Hao Wu, Zhenjiang Miao, Yi Wang, Jingyue Chen:
Recognition improvement through optimized spatial support methodology. Multim. Tools Appl. 75(10): 5603-5618 (2016) - 2015
- [j3]Hao Wu, Zhenjiang Miao, Jingyue Chen, Jie Yang, Xing Gao:
Recognition improvement through the optimisation of learning instances. IET Comput. Vis. 9(3): 419-427 (2015) - [j2]Hao Wu, Zhenjiang Miao, Yi Wang, Jingyue Chen, Cong Ma, Tianyu Zhou:
Image completion with multi-image based on entropy reduction. Neurocomputing 159: 157-171 (2015) - [j1]Hao Wu, Zhenjiang Miao, Yi Wang, Manna Lin:
Optimized recognition with few instances based on semantic distance. Vis. Comput. 31(4): 367-375 (2015) - 2013
- [c1]Wanru Xu, Zhenjiang Miao, Jian Zhang, Qiang Zhang, Hao Wu:
Spatial-Temporal Context for Action Recognition Combined with Confidence and Contribution Weight. ACPR 2013: 576-580
Coauthor Index
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