MA Lab Members

Select a member to view their portrait

Permanent Fixtures

Postdoctoral Fellows

  • (Spring 2025)
  • (Spring 2025)

PhD Students

  • (Fall 2022), with Jianguo Zhang at SUSTech
  • (Spring 2023), with Jing Liao
  • (Spring 2023), with Chen Ma
  • (Fall 2023)
  • (Spring 2024), with Qingchuan Zhao
  • (Fall 2024)
  • (Fall 2025)
  • (Fall 2025)
  • (Summer 2026)
  • (Fall 2026)

Master Students

  • (Spring 2026)

Alumni

  • (Ph.D., 09/26), with Ying Wei at ZJU and Yu Zhang at SUSTech Thesis: Optimizing Low-Rank Adaptation for Transfer Learning in Foundation Models
  • (Ph.D., 08/26) Thesis: Probabilistic Scanpath Prediction in Panoramic Videos and Its Applications
  • (Ph.D., 08/26) Thesis: Theory and Methods of Cognitive-Driven Human-AI Co-creation for Product Conceptual Design
  • (Postdoc, 03/25-08/26), with Jing Liao
  • (Postdoc, 04/24-08/26), with Chen Ma
  • (Postdoc, 03/24-03/26)
  • (Ph.D., 11/25, with Dongwei Ren at TJU) Thesis: Event-Driven Spatiotemporal Enhancement of Natural Videos
  • (Postdoc, 04/25-12/25)
  • (Ph.D., 08/25) Thesis: Modular and Multimodal Approaches to Blind Video Quality Assessment in Real-world Scenarios
  • (Ph.D., 08/25, with Ying Wei) Thesis: Editing Pre-trained Vision Models for Multi-granularity Adaptation
  • (Ph.D., 08/25) Thesis: Toward Generalizable Face Manipulation and Generation Detection
  • (Ph.D., 08/25) Thesis: Hiding Data in Generative Models
  • (Ph.D., 07/25, with Ying Wei) Thesis: Advancing Continual Learning from Classic Models to Foundation Models
  • (Postdoc, 03/24-04/25)
  • (Ph.D., 08/24) Thesis: Zero-shot and Few-shot Analysis of 3D Point Clouds
  • (Ph.D., 07/24) Thesis: Perceptual Assessment and Optimization of High Dynamic Range Image Processing
  • (Ph.D., 03/22; Postdoc, 03/22-08/23, 08/24-12/25) Thesis: Towards Generalizable Blind Image Quality Assessment

Notes to Prospective Students

  • We are always seeking "top-performing" students to join our research team. Please send me an email if you are interested, with your CV, transcript and a brief research statement. The "performance" is qualitatively measured by 1) background in mathematics, 2) skill in computer programming, and 3) intuition in working on research projects.
  • We welcome highly self-motivated undergraduates at CityU to conduct research with us. Self-funded visiting scholars are also welcome to apply.