Jie Wang

According to our database, Jie Wang authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Robust Detection, Segmentation, and Metrology of High Bandwidth Memory 3D Scans Using an Improved Semi-Supervised Deep Learning Approach.

Jie Wang, Richard Chang, Ziyuan Zhao, Ramanpreet Singh Pahwa

Sensors, 2023

2022

Exploring Active Learning for Semiconductor Defect Segmentation.

Lile Cai, Ramanpreet Singh Pahwa, Xun Xu, Jie Wang, Richard Chang, Lining Zhang, Chuan-Sheng Foo

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

On the Use of Component Structural Characteristics for Voxel Segmentation in Semicon 3D Images.

Tin Lay Nwe, Ramanpreet Singh Pahwa, Richard Chang, Oo Zaw Min, Jie Wang, Yiqun Li, Dongyun Lin, Shitala Prasad, Sheng Dong

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Machine-learning based methodologies for 3d x-ray measurement, characterization and optimization for buried structures in advanced ic packages.

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

CoRR, 2021

A Survey on Object Detection Performance with Different Data Distributions.

Ramanpreet Singh Pahwa, Richard Chang, Jie Wang, Sankeerthana Satini, Chandrashekar Viswanathan, Yiming Du, Vernica Jain, Tai Pang Chen, Kong-Wah Wan

Proceedings of the Social Robotics - 13th International Conference, 2021

2019

Cribriform pattern detection in prostate histopathological images using deep learning models.

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

CoRR, 2019

Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation.

Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, Xulei Yang, Le Zhang, Zeng Zeng

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Gated Residual Recurrent Graph Neural Networks for Traffic Prediction.

Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

CardioXNet: Automated Detection for Cardiomegaly Based on Deep Learning.

Qiwen Que, Ze Tang, Ruoshi Wang, Zeng Zeng, Jie Wang, Matthew Chua, Sin Gee Teo, Xulei Yang, Bharadwaj Veeravalli

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Automated Classification Using End-to-End Deep Learning.

Shobhit Sandeep Jaipurkar, Jie Wang, Zeng Zeng, Sin Gee Teo, Bharadwaj Veeravalli, Matthew Chua

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018