Jing Wang
Hello World! This is Jing Wang (In Chinese: 王璟)
I am currently a second-year Ph.D. student at The University of British Columbia (UBC) and serve as the lab manager for Industrial Automation Lab (UBC), advised by Prof. Clarence de Silva. I closely collaborate with my Ph.D. committee member Prof. Leonid Sigal on a range of computer vision/machine learning topics.
I did all my undergrad and master's studies at UBC. I was born and raised in Chengdu, a metropolis that has prospered for over 3,000 years in southwest China.
My research interests are:
Robotic Vision: 3D Scene Understanding, 2D Recognition, and Generalization;
Machine Learning: Graph Neural Networks, Domain Adaptation, Meta-Learning, and Few-Shot Learning;
Silicon Photonics: AI Accelerator.
I am actively seeking collaborations, please do not hesitate to shoot me an email at jing@ece.ubc.ca 😃
For more details about my research, please refer to my Google Scholar: [Google Scholar]
Educations
University of British Columbia, Canada, 2022-2024 (Expected)
Ph.D. in Robot Vision, supervised by Dr. Clarence de Silva
University of British Columbia, Canada, 2020-2022
Ph.D. in Silicon Photonics, supervised by Dr. Lukas Chrostowski and Dr. Sudip Shekhar
University of British Columbia, Canada, 2018-2020
MASc in Robot Vision, supervised by Dr. Clarence de Silva
University of British Columbia, Canada, 2014-2018
BASc in Electrical and Computer Engineering
Industrial Experiences
Borealis AI, RBC Institute of Research, Canada, 2022.05 - 2022.09
Machine Learning Research Intern, supervised by Prof. Greg Mori, Dr. Fred Tung, Dr. Nazanin Mehrasa, and Dr. Mohamed Osama Ahmed
Industrial Automation Lab, The University of British Columbia, Canada, 2022.01 - Present
Lab Manager
ViwiStar, Canada, 2022.01 - 2024. 08
Research Scientist
Maxar Technologies, Canada, 2017.09 - 2018-04
Engineering Intern
Institute of Optics Electronics, Chinese Academy of Sciences, China, 2016.04 - 2016-09
Research Intern
Academic Services
Conference Reviewer: IJCAI 2024, ICML 2024, ICLR 2024, NeurIPS 2023 (Top Reviewer Award), NeurIPS 2022, ICML 2022, M2VIP 2021
Program Committee Member: IJCAI 2024
Journal Reviewer: IEEE Transactions on Instrumentation & Measurement; Signal, Image and Video Processing; Electronics; Mathematics; Drones; Sensors, Algorithms
Publications
(* denotes equal contribution)
Jing Wang*, Jiahong Chen*, Weipeng Lin, Kuangen Zhang, and Clarence W. de Silva, Preserving Domain Private Representation via Mutual Information Maximization, Neural Networks (2024).
Jing Wang, Jiahong Chen, Kuangen Zhang, and Leonid Sigal, "Training Feedforward Neural Nets in Hopfield-Energy-Based Configuration: A Two-Step Approach". Pattern Recognition 145 (2024): 109954 [Link].
Kuangen Zhang, Jiahong Chen, Jing Wang, Yuquan Leng, Clarence W. de Silva, and Chenglong Fu. "Ensemble diverse hypotheses for unsupervised cross-subject intent prediction". Information Fusion (2023), DOI:10.1016/j.inffus.2022.12.023 [Link].
Jing Wang*, Jiahong Chen*, Tongxin Shu, and Clarence W. de Silva. "WSN optimization for sampling-based signal estimation using semi-binarized variational autoencoder." Information Sciences 587 (2022): 188-205 [Link].
Kuangen Zhang, Jiahong Chen, Jing Wang, Yuquan Leng, Clarence W. de Silva, and Chenglong Fu. "Gaussian-guided feature alignment for unsupervised cross-subject adaptation." Pattern Recognition 122 (2022): 108332 [Link] .
Mohammadreza Sanadgol Nezami, Thomas Ferreira de Lima, Matthew Mitchell, Shangxuan Yu, Jing Wang, Simon Bilodeau, Weipeng Zhang, Mohammed Al-Qadasi, Iman Taghavi, Alexander Tofini, Stephen Lin, Bhavin J. Shastri, Paul R. Prucnal, Lukas Chrostowski, Sudip Shekhar. "Packaging and Interconnect Considerations in Photonic Accelerators", IEEE Journal of Selected Topics in Quantum Electronics 29, no. 2: Optical Computing (2022): 1-11 [Link].
Jing Wang, Jiahong Chen, Jianzhe Lin, Leonid Sigal, and Clarence W. de Silva. "Discriminative feature alignment: Improving transferability of unsupervised domain adaptation by Gaussian-guided latent alignment." Pattern Recognition (2021): DOI: 10.1016/j.patcog.2021.107943 [Link].
Jing Wang*, Jiahong Chen* and Clarence W. de Silva. "Mutual Variational Inference: An Indirect Variational Inference Approach for Unsupervised Domain Adaptation." IEEE Transactions on Cybernetics (2021) [Link].
Kuangen Zhang, Ming Hao, Jing Wang, Xinxing Chen, Yuquan Leng, Clarence W. de Silva, and Chenglong Fu. "Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features." In 2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP), pp. 7-12. IEEE, 2021 [Link].
Jiahong Chen, Jing Wang, Jianxin Zhu, Tong Heng Lee, and Clarence W. de Silva. "Unsupervised cross-domain fault diagnosis using feature representation alignment networks for rotating machinery." IEEE/ASME Transactions on Mechatronics 26, no. 5 (2020): 2770-2781 [Link].
Jiahong Chen, Teng Li, Jing Wang, and Clarence W. de Silva. "WSN sampling optimization for signal reconstruction using spatiotemporal autoencoder." IEEE Sensors Journal 20, no. 23 (2020): 14290-14301 [Link].
Jing Wang*, Kuangen Zhang*, Clarence W. de Silva, and Chenglong Fu. "Unsupervised cross-subject adaptation for predicting human locomotion intent." IEEE Transactions on Neural Systems and Rehabilitation Engineering 28, no. 3 (2020): 646-657 [Link].
Jing Wang, and Kuangen Zhang. "Unsupervised domain adaptation learning algorithm for RGB-D staircase recognition." Instrumentation (2019) [Link].
Zhang, Kuangen, Jing Wang, and Chenglong Fu. "Directional PointNet: 3D environmental classification for wearable robotics." Instrumentation (2019) [Link].
Teaching
Teaching Assistant
UBC MANU 386: Industrial Automation, Sept 2022 - Dec 2022
UBC MECH 469/529: Modelling of Dynamic systems, Sept 2020 - Present
UBC MECH 520: Sensor and Actuators for Control System, Sept 2020 - Present
UBC PHYS 158: Introductory Physics for Engineers II, Sept 2021 - Dec 2021
UBC PHYS 159: Introductory Physics Laboratory for Engineers, Jan 2022 - May 2022
Awards
Top Reviewer Award, NeurIPS 2023 (https://neurips.cc/Conferences/2023/ProgramCommittee#:~:text=Jin%2DHwa%20Kim-,Jing%20Wang,-Jing%2DCheng%20Pang)
Department Award for Excellent Research, UBC, 2022 Winter
President's Academic Excellence Initiative PhD Award, UBC, 2020 Winter, 2021 Summer, 2021 Winter, and 2022 Summer
MITACS National Research Fellowship for MASc Student, Government of Canada, 2018, 2019, and 2020
International Student Tuition Award, UBC, 2018, 2019, 2020, 2021 and 2022
Faculty of Applied Science Graduate Award, UBC, 2019 Winter
PMC-Sierra Founders Award in Electrical and Computer Engineering, PMC-Sierra Inc, 2017 Winter
Faculty of Applied Science International Student Scholarship, UBC, 2015 Winter
Second Prize of National Physics Competition, China, 2012