Haojin Deng · Western University
Email · Google Scholar · LinkedIn · GitHub
Ph.D. candidate and NSERC CGS-D scholar working on representation learning, multimodal and contrastive learning, and bias diagnosis and mitigation, with applications in medical imaging and industrial AI.
2023–present
Ph.D. in Electrical and Computer Engineering, Western University
Research area: multimodal representation learning and bias mitigation. Expected completion: December 2026.
2021–2022
M.Sc. in Computer Science, Lakehead University
Thesis: Boosting Feature Extraction Performance on the Aspect of Representation Learning Efficiency.
2015–2020
Bachelor of Computer Science (Honours), Carleton University
Concentration: image and video processing. Thesis: Video Stylization by Coordinated Particle System.
September–December 2026
Lecturer, Western University
Designed and taught ENGSCI 9320: Introduction to Machine Learning, including course materials, assignments, examinations, instruction, and assessment.
July 2024–April 2026
Research Consultant, ENDRA Life Sciences Inc.
Conducted applied machine learning research in medical imaging and clinical measurements, including data curation, model development, and evaluation.
2022–present
Graduate Research Assistant, Western University
Research in multimodal representation learning and robust AI with Prof. Yimin Yang; mentoring and research collaboration.
2021–2022
Graduate Research Assistant, Lakehead University
Research on feature extraction efficiency and representation learning.
2018
System Development Engineer (Co-op), Dianmao Technology
Developed a Linux remote-login kernel module in C.
2021–present
Graduate Researcher Affiliate, Vector Institute
Diffusion-based data augmentation and hierarchical CLIP for real estate image annotation
Haojin Deng, Wandong Zhang, Yimin Yang, and Eman Nejad
Pattern Analysis and Applications, 28, 87 (2025). Publication
Context-Enriched Contrastive Loss: Enhancing Presentation of Inherent Sample Connections in Contrastive Learning Framework
Haojin Deng and Yimin Yang
IEEE Transactions on Multimedia, 27, 429–441 (2025). Publication
Agentic AI Workflow for End-to-End Prompt-Based Contextual Virtual Staging
Scott Murray, Haojin Deng, Yimin Yang, and Eman Nejad
CCECE, 245–250 (2025). Publication
Explored seeds generation for weakly supervised semantic segmentation
Terence Chow, Haojin Deng, Yimin Yang, Zhiping Lin, Huiping Zhuang, and Shan Du
Neural Computing and Applications, 36, 1007–1022 (2024). Publication
Minimizing EEG Human Interference: A Study of an Adaptive EEG Spatial Feature Extraction With Deep Convolutional Neural Networks
Haojin Deng, Shiqi Wang, Yimin Yang, W. G. Will Zhao, Hui Zhang, Ruizhong Wei, Q. M. Jonathan Wu, and Bao-Liang Lu
IEEE Transactions on Cognitive and Developmental Systems, 16(6), 1915–1928 (2024). Publication
Enhancing Residential Real Estate Search with Classification Strategies Using Diffusion and CLIP
Haojin Deng, Wandong Zhang, Yimin Yang, and Eman Nejad
ICCE, 1–6 (2024). Publication
Hierarchical One-Class Model With Subnetwork for Representation Learning and Outlier Detection
Wandong Zhang, Q. M. Jonathan Wu, W. G. Will Zhao, Haojin Deng, and Yimin Yang
IEEE Transactions on Cybernetics, 53(10), 6303–6316 (2023). Publication
BiasFlow: Geometric Monitoring and Backbone Regularization for Spurious Feature Reliance
Haojin Deng, Zhiping Lin, and Yimin Yang, 2026. arXiv
Label-Free Coreset Selection via Subgroup-Balanced Contribution Transport
Yuxi Liu, Haojin Deng, Kelvin Zheng, Oliver Anderson, and Yimin Yang, 2026. SSRN
2026
Lecturer, Western University
ENGSCI 9320: Introduction to Machine Learning.
2025
Guest Lecturer, Western University
Advanced Image Processing (ECE 9202): computer vision architectures and generative models.
2022
Guest Lecturer, Lakehead University
Deep Learning (COMP 5421): self-supervised learning.
2023–present
Graduate Teaching Assistant, Western University
AISE 3010, AISE 4010, SE 3351, and SE 3310.
2021–2022
Graduate Teaching Assistant, Lakehead University
Supported undergraduate and graduate courses.
Western Certificate in University Teaching and Learning (2026); Teaching Assistant Training Program Certificate (2025); peer-reviewed micro-teaching sessions (2025).
2023–present
Applied AI for Real-Estate Image Understanding, Wahi Inc.
Research on image classification and annotation, multimodal evaluation, and virtual staging.
2021–2022
Recommendation Systems, PTPA Media Inc.
Developed a recommendation system and user interface in collaboration with the company.
Student Internal Reviewer, Western Institutional Quality Assurance Review (2026).
Peer Reviewer (2022–present), with more than 40 reviews for journals including IEEE TPAMI, TCSVT, Cybernetics, TNNLS, Neurocomputing, and Neural Computing & Applications.
PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, Python, C/C++, SQL, MATLAB, NumPy/SciPy, LaTeX, Git, Docker, and Slurm. Experience with distributed training and high-performance computing.
Languages: English and Mandarin Chinese.
DCNet: Deconvolutional-and-Convolutional Neural Network for 1D Signal Processing. Vector Institute Research Symposium, 2023.
Recommendation System Based on Limited Labeled Data. Vector Institute Research Symposium, 2022.