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ORCIDJie Wang 0042
Person information
- affiliation: Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore
- affiliation (2014 - 2018): National University of Singapore, Department of Electrical and Computer Engineering, Singapore
Other persons with the same name
- Jie Wang — disambiguation page
- Jie Wang 0001 — Loughborough University, UK
- Jie Wang 0002
![[0000-0003-1483-2783]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-1483-2783")
— University of Massachusetts Lowell, Department of Computer Science, Lowell, MA, USA - Jie Wang 0003 — Dalian Maritime University, China (and 1 more)
- Jie Wang 0004 — Dalian University of Technology, School of Software Technology, China (and 2 more)
- Jie Wang 0005 — University of Science and Technology of China (USTC), MIRA Lab, Hefei, China (and 4 more)
- Jie Wang 0006 — Stanford University, Department of Civil and Environmental Engineering, CA, USA
- Jie Wang 0007 — Chinese Academy of Sciences, Beijing Institute of Nanoenergy and Nanosystems, China (and 2 more)
- Jie Wang 0008 — Indiana University Northwest, Gary, IN, USA (and 3 more)
- Jie Wang 0009 — Hamburg University of Technology, Germany
- Jie Wang 0010 — Epson Edge, Toronto, ON, Canada (and 1 more)
- Jie Wang 0011 — University of Bath, UK (and 1 more)
- Jie Wang 0012 — East China University of Science and Technology, MOE Key Laboratory of Advanced Control and Optimization for Chemical Processes, Shanghai, China
- Jie Wang 0013 — Hangzhou Dianzi University, School of Computer Science and Technology, China
- Jie Wang 0014 — Sichuan Normal University, School of Business, Chengdu, China
- Jie Wang 0015 — Hebei University of Technology, School of Artificial Intelligence, Tianjin, China
- Jie Wang 0016 — North Carolina State University, Department of Electrical and Computer Engineering, Raleigh, NC, USA
- Jie Wang 0017 — China Agricultural University, College of Grassland Science and Technology, Beijing, China (and 1 more)
- Jie Wang 0018 — Nanjing University of Information Science and Technology, School of Electronic and Information Engineering, China (and 1 more)
- Jie Wang 0019 — Capital Normal University, School of Management, Beijing, China
- Jie Wang 0020 — Hebei University, College of Electronic and Information Engineering, Baoding, China (and 1 more)
- Jie Wang 0021 — Ping An Technology, Shenzhen, China
- Jie Wang 0022 — University of California, Computer Science Department, Los Angeles, CA, USA (and 1 more)
- Jie Wang 0023 — China Railway First Survey and Design Institute Group Co. Ltd, Xi'an, China (and 1 more)
- Jie Wang 0024 — Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, Nanjing, China
- Jie Wang 0025 — Nanjing Medical University, Department of Radiology, Nanjing, China
- Jie Wang 0026 — Zhengzhou University, School of Electrical Engineering, Zhengzhou, China
- Jie Wang 0027 — Xinjiang University, Engineering Research Center for Renewable Energy Power Generation and Grid-connected Control, MOE, Urumqi, China
- Jie Wang 0028 — Ningbo University, College of Information Science and Engineering, Zhejiang, China
- Jie Wang 0029 — Nanjing University, School of Geography and Ocean Science, Nanjing, China
- Jie Wang 0030 — University of Massachusetts Amherst, Department of Mathematics and Statistics, Amherst, MA, USA
- Jie Wang 0031 — Sun Yat-sen University, School of Data and Computer Science, Guangdong Key Laboratory of Information Security, Guangzhou, China
- Jie Wang 0032 — Huaqiao University, School of Information Science and Engineering, Xiamen, China
- Jie Wang 0033 — University of Calgary, Department of Geomatics Engineering, Calgary, Canada
- Jie Wang 0034 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai, China (and 1 more)
- Jie Wang 0035 — Chinese Academy of Sciences, Institute of Software, State Key Lab of Computer Sciences, Beijing, China
- Jie Wang 0036 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, State Key Laboratory of Remote Sensing Science, Beijing, China
- Jie Wang 0037 — LAAS-CNRS, Toulouse, France (and 2 more)
- Jie Wang 0038 — Peking University, LMAM & School of Mathematical Sciences, Beijing, China (and 1 more)
- Jie Wang 0039 — Zhejiang Institute of Economics and Trade College, School of Shangmao, Hangzhou City, China
- Jie Wang 0040 — Pusan National University, School of Mechanical Engineering, Busan, South Korea
- Jie Wang 0041 — National University of Defense Technology, College of Aerospace Science and Engineering, Changsha, China
- Jie Wang 0043 — Dalian University of Technology, School of Software, Dalian, China
- Jie Wang 0044 — Nanjing University, School of Information Management, Nanjing, China
- Jie Wang 0045 — Shanxi Normal University, College of Mathematics and Computer Science, Linfen, China
- Jie Wang 0046 — Shanxi University, School of Computer and Information Technology, Key Laboratory of Computational Intelligence and Chinese Information Processing, Shanxi, China
- Jie Wang 0047 — University of Science and Technology of China, Department of Automation, Hefei, China
- Jie Wang 0048 — Chinese University of Hong Kong, Department of Electronic Engineering, Robotics, Perception and Artificial Intelligence Lab, Hong Kong (and 1 more)
- Jie Wang 0049 — Chinese University of Hong Kong, School of Science and Engineering, Shenzhen, China (and 1 more)
- Jie Wang 0050 — Anhui University, School of Computer Science and Technology, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Hefei, China
- Jie Wang 0051 — Xi'an Jiao Tong University, School of Energy and Power Engineering, Xi'an, China (and 1 more)
- Jie Wang 0052 — Tongji University, School of Ocean and Earth Science, State Key Laboratory of Marine Geology, Shanghai, China
- Jie Wang 0053 — China Railway First Survey and Design Institute Group Co. Ltd., Xi'an, China
- Jie Wang 0054 — North China University of Science and Technology, School of Public Health, Tangshan, China
- Jie Wang 0055 — University of New South Wales, School of Biological, Earth and Environmental Science, Sydney, Australia
- Jie Wang 0056 — North China University of Technology, College of Science, Department of Statistics, Beijing, China (and 1 more)
- Jie Wang 0057 — Chinese Academy of Sciences, Chengdu Institute of Biology, Chengdu, China
- Jie Wang 0058 — Shenzhen Kaiyuan Internet Security Company Ltd., Shenzhen, China
- Jie Wang 0059 — University of Queensland, Business School, Brisbane, Australia
- Jie Wang 0060 — Anhui University, College of Resources and Environmental Engineering, Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration, Hefei, China
- Jie Wang 0061 — University of Virginia, Department of Electrical and Computer Engineering, Charlottesville, VA, USA
- Jie Wang 0062 — Wuhan University of Science and Technology, School of Resource and Environmental Engineering, Wuhan, China
- Jie Wang 0063 — Zhejiang University, College of Control Science and Engineering, State Key Laboratory of Industrial Control Technology, Hangzhou, China
- Jie Wang 0064 — Shanghai Aerospace Equipments Manufacturer Co., Ltd, Shanghai, China
- Jie Wang 0065 — Shanghai Jiaotong University, Koguan Law School, Shanghai, China
- Jie Wang 0066 — Chinese Academy of Sciences, Guangzhou Institutes of Biomedicine and Health, Guangzhou, China (and 1 more)
- Jie Wang 0067 — Central South University, School of Information Science and Engineering, Changsha, China
- Jie Wang 0068 — Wuhan University of Science and Technology, School of Computer Science and Technology, Wuhan, China
- Jie Wang 0069 — Nanjing University of Aeronautics and Astronautics, China
- Jie Wang 0070 — China Telecom Research Institute, Mobile Communication Research Department, Beijing, China
- Jie Wang 0071 — High-Tech Institute of Xi'an, College of Automation, China (and 1 more)
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2020 – today
- 2023
[j1]Jie Wang, Richard Chang, Ziyuan Zhao, Ramanpreet Singh Pahwa:
Robust Detection, Segmentation, and Metrology of High Bandwidth Memory 3D Scans Using an Improved Semi-Supervised Deep Learning Approach. Sensors 23(12): 5470 (2023)- 2022
- [c7]Tin Lay Nwe, Ramanpreet Singh Pahwa, Richard Chang, Oo Zaw Min, Jie Wang, Yiqun Li, Dongyun Lin, Shitala Prasad, Sheng Dong:
On the Use of Component Structural Characteristics for Voxel Segmentation in Semicon 3D Images. ICASSP 2022: 2694-2698 - [c6]Lile Cai, Ramanpreet Singh Pahwa, Xun Xu, Jie Wang, Richard Chang, Lining Zhang, Chuan-Sheng Foo:
Exploring Active Learning for Semiconductor Defect Segmentation. ICIP 2022: 1796-1800 - 2021
- [c5]Ramanpreet Singh Pahwa, Richard Chang, Jie Wang, Sankeerthana Satini, Chandrashekar Viswanathan, Yiming Du, Vernica Jain, Tai Pang Chen, Kong-Wah Wan:
A Survey on Object Detection Performance with Different Data Distributions. ICSR 2021: 553-563 - [i3]Ramanpreet Singh Pahwa, Soon Wee Ho, Ren Qin, Richard Chang, Oo Zaw Min, Jie Wang, Vempati Srinivasa Rao, Tin Lay Nwe, Yanjing Yang, Jens Timo Neumann, Ramani Pichumani, Thomas Gregorich:
Machine-learning based methodologies for 3d x-ray measurement, characterization and optimization for buried structures in advanced ic packages. CoRR abs/2103.04838 (2021)
2010 – 2019
- 2019
- [c4]Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng:
Gated Residual Recurrent Graph Neural Networks for Traffic Prediction. AAAI 2019: 485-492 - [c3]Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, Xulei Yang, Le Zhang, Zeng Zeng:
Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation. BHI 2019: 1-4 - [i2]Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, Xulei Yang, Le Zhang, Zeng Zeng:
Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation. CoRR abs/1903.04778 (2019) - [i1]Malay Singh, Emarene Mationg Kalaw, Jie Wang, Mundher Al-Shabi, Chin Fong Wong, Danilo Medina Giron, Kian-Tai Chong, Maxine Tan, Zeng Zeng, Hwee Kuan Lee:
Cribriform pattern detection in prostate histopathological images using deep learning models. CoRR abs/1910.04030 (2019) - 2018
- [c2]Qiwen Que, Ze Tang, Ruoshi Wang, Zeng Zeng, Jie Wang, Matthew Chua, Sin Gee Teo, Xulei Yang, Bharadwaj Veeravalli:
CardioXNet: Automated Detection for Cardiomegaly Based on Deep Learning. EMBC 2018: 612-615 - [c1]Shobhit Sandeep Jaipurkar, Jie Wang, Zeng Zeng, Sin Gee Teo, Bharadwaj Veeravalli, Matthew Chua:
Automated Classification Using End-to-End Deep Learning. EMBC 2018: 706-709
Coauthor Index
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