University of British Columbia, Canada, 2022-2024

• 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

1. Wenxu Wang, Rui Zhou, Jing Wang, Bo Han, Yun Zhou, Cheng Zhu, Ruichun Tang, Nevin L. Zhang, COSDA: Counterfactual-based Susceptibility Risk Framework for Open-Set Domain Adaptation, International Conference on Machine Learning (ICML 2025).

2. Jing Wang, Wonho Bae, Jiahong Chen, Kuangen Zhang, Leonid Sigal, What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context, International Conference on Learning Representations (ICLR 2025).

3. Wonho Bae, Jing Wang, Danica J. Sutherland, Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling, European Conference on Computer Vision (ECCV 2024).

4. Jing Wang, Wenwen Zhang, Hao Zhang, Enhanced Photonic Accelerator Design for Efficient Vector-Matrix Multiplication in Deep Learning, SPIE Optics and Photonics 2024.

5. Wenwen Zhang, Hao Zhang, Jing Wang^, Probing Ring Resonator Sensor Based on Vernier Effect, SPIE Optics and Photonics 2024.

6.  Wenwen Zhang, Jing Wang^, Hao Zhang, Weight Bank Addition Photonic Accelerator for Artificial Intelligence, SPIE Optics and Photonics 2024.

7. 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].

1. Jing Wang, Wonho Bae, Jiahong Chen, Kuangen Zhang, and Leonid Sigal, What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context, Transactions on Machine Learning Research (2024), Featured Certification.

2. Jing Wang*, Jiahong Chen*, Weipeng Lin, Kuangen Zhang, and Clarence W. de Silva, Preserving Domain Private Representation via Mutual Information Maximization, Neural Networks (2024).

3. Jing Wang, Jiahong Chen, Kuangen Zhang, and Leonid Sigal, "Training Feedforward Neural Nets in Hopfield-Energy-Based Configuration: A Two-Step Approach". Pattern Recognition (2024) [Link].

4. 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) [Link].

5. 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 (2022) [Link].

6. 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 (2022) [Link] .

7. 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 (2022) [Link].

8. 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) [Link].

9. 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].

10. 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 (2020) [Link].

11. Jiahong Chen, Teng Li, Jing Wang, and Clarence W. de Silva. "WSN sampling optimization for signal reconstruction using spatiotemporal autoencoder." IEEE Sensors Journal (2020) [Link].

12. 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 (2020) [Link].

13. Jing Wang, and Kuangen Zhang. "Unsupervised domain adaptation learning algorithm for RGB-D staircase recognition." Instrumentation (2019) [Link].

14. Zhang, Kuangen, Jing Wang, and Chenglong Fu. "Directional PointNet: 3D environmental classification for wearable robotics." Instrumentation (2019) [Link].

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