Guanghui Wang

Associate Professor, Toronto Metropolitan University

Joined

October 2022

Names

Guanghui Wang (Preferred)

Emails

****@ryerson.ca (Confirmed)

****@torontomu.ca (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Associate Professor

Toronto Metropolitan University (torontomu.ca)

2020 – Present

PhD student

University of Waterloo (uwaterloo.ca)

2010 – 2014

Advisors, Relations & Conflicts

PhD Advisor

John Zelek

2010 – 2014

Expertise

Stereo vision

structure from motion

image classification

object detection

2000 – 2025

Publications

Tracking Moose using Aerial Object Detection
Christopher Indris, Raiyan Rahman, Goetz Bramesfeld, Guanghui Wang
- arXiv
- Readers: Everyone
ReMoBA: Representative Replay and Mixture of BatchNoise Autoencoders for Pre-Trained Model-Based Federated Domain-Incremental Learning
Milad Khademi Nori, Il-Min Kim, Guanghui Wang
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Milad Khademi Nori, IL MIN KIM, Guanghui Wang
- ICML 2025 poster
- Readers: Everyone
MFN: Metadata-Free Real-World Noisy Image Generation
Jaekyun Ko, Dongjin Kim, Guanghui Wang, Tae Hyun Kim
- Submitted to ICLR 2025
- Readers: Everyone
CAGGLE: Color-Aware Guidance with Global and Local Prompts for Exposure Correction
Daehyun Kim, Donggoo Jung, Guanghui Wang, Tae Hyun Kim
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
Milad Khademi Nori, IL MIN KIM, Guanghui Wang
- ICLR 2025 Poster
- Readers: Everyone
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Milad Khademi Nori, IL MIN KIM, Guanghui Wang
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields
Raiyan Rahman, Christopher Indris, Goetz Bramesfeld, Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Ivan Grijalva, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang
- J. Imaging 2024
- Readers: Everyone
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets
Tianxiao Zhang, Wenju Xu, Bo Luo, Guanghui Wang
- CoRR 2024
- Readers: Everyone
Assessing Patient Eligibility for Inspire Therapy through Machine Learning and Deep Learning Models
Mohsena Chowdhury, Tejas Vyas, Rahul Alapati, Andrés M. Bur, Guanghui Wang
- CoRR 2024
- Readers: Everyone

View all 23 publications

Co-Authors

View all 40 co-authors