Junbin Zhang (Thomas)

I graduated with a Ph.D. degree from the Department of Electrical and Computer Engineering at the University of British Columbia (UBC) in Vancouver, Canada. I was a member of the UBC Digital Multimedia Lab (DML), where I worked under the guidance of Dr. Panos Nasiopoulos.

I completed my M.A.Sc degree at UBC as well, supervised by Dr. Julia Rubin. Prior to joining UBC, I earned two B.Eng. degrees (through a "2 + 2" program) at The Hong Kong Polytechnic University and Sun Yat-sen University.

Research Interests:

  • My Ph.D. research focused on detecting, attributing, and localizing manipulated images, with an emphasis on models trained using raw-image pipelines, sensor-level artifacts, and frequency-domain analysis for AI-generated and deepfake content.
  • I was also involved in projects related to multimedia technology (e.g., high dynamic range imaging, tone mapping, and virtual reality).
  • During my master's degree, I conducted empirical research on mobile security and privacy, including a large-scale evaluation of Android static taint analysis tools.

Below are a few featured publications.

For a full list of my papers, please visit my Google Scholar profile!

Junbin Zhang, Yixiao Wang, Hamidreza Tohidypour, Panos Nasiopoulos. Detecting Stable Diffusion Generated Images Using Frequency Artifacts: A Case Study on Disney-Style Art. International Conference on Image Processing (ICIP), 2023.

Junbin Zhang, Hamidreza Tohidypour, Yixiao Wang, Panos Nasiopoulos. Shallow-and Deep-fake Image Manipulation Localization Using Deep Learning. International Conference on Computing, Networking and Communications (ICNC), 2023.

Junbin Zhang, Yixiao Wang, Hamidreza Tohidypour, Mahsa T Pourazad, Panos Nasiopoulos. A Generative Adversarial Network Based Tone Mapping Operator for 4K HDR Images. International Conference on Computing, Networking and Communications (ICNC), 2023.

Junbin Zhang, Yingying Wang, Lina Qiu, Julia Rubin. Analyzing Android Taint Analysis Tools: FlowDroid, Amandroid, and DroidSafe. IEEE Transactions on Software Engineering, 2021.

Vijayaraghavan Thirumalai, Javier Ribera, Jie Xiang, Junbin Zhang, Maryam Azimi, Jalil Kamali, Panos Nasiopoulos. A Subjective Method for Evaluating Foveated Image Quality in HMDs. SID's Digest of Technical Papers, 2020.

2020 to 2025: The University of British Columbia

Degree: Ph.D.

Thesis: Detection, Attribution, and Localization of Manipulated Images

Supervisor: Dr. Panos Nasiopoulos

2017 - 2020: The University of British Columbia

Degree: M.A.Sc

Thesis: Analyzing Android Taint Analysis Tools: FlowDroid, Amandroid, and DroidSafe

Supervisor: Dr. Julia Rubin

2014 - 2017: The Hong Kong Polytechnic University

Degree: B.Eng. in Electronic Engineering with First Class Honors

Final Year Project: Super-resolution using Random Forests

Supervisor: Dr. Wan-Chi Siu

2012 - 2017: Sun Yat-sen University

Degree: B.Eng.

For more details,

please click here to visit my LinkedIn profile!

2015-2016: HSBC

Position: HTS Industrial Placement Trainee of Global Banking and Markets, HSS IT

2017 to 2025: Teaching Assistant at UBC

- 2020 to 2025: Capstone Design Project

- 2021 and 2017: Introduction to Computer Security (CPEN 442)

- 2020: Building Modern Web Applications (CPEN 400A)

- 2017 and 2018: Introduction to Computation in Engineering Design (APSC 160)

- 2018: Software Testing and Analysis (CPEN 422)

2017: SPLASH

Student Volunteer

2016: HUAWEI Code Craft

The Shenzhen Area Site Silver Medal

2014: Mathematical Contest in Modeling

Honorable Mention

2013: Mathematical Contest in Modeling

Meritorious Winner