I am currently pursuing my Ph.D. in Computer Science at The Hong Kong Polytechnic University, under the supervision of Prof. Qing Li, with co-supervision from Prof. Xiaoyong Wei and Prof. Zhen Lei. I completed my Master’s and Bachelor’s degrees at Sichuan University, where I developed a strong foundation in computer science and related fields. My research interests primarily focus on image generation and data mining.

Education

• Ph.D in Department of Computing, the Hong Kong Polytechnic University, 2026 (expected)
• M.S. in College of Computer Science, Sichuan University, 2022
• B.S. in College of Computer Science, Sichuan University, 2019

Work experience

• June 2020 - March 2021: Research Intern
  • Pengcheng Laboratory
  • Duties include: ECG-related data collection and research

Publications

A Survey on Personalized Content Synthesis with Diffusion Models

Xulu Zhang, et al., (2024). "A Survey on Personalized Content Synthesis with Diffusion Models." Arxiv.

Generative active learning for image synthesis personalization

Xulu Zhang, et al., (2024). "Generative active learning for image synthesis personalization." ACM MM 2024.

Compositional inversion for stable diffusion models

Xulu Zhang et al., (2024). "Compositional inversion for stable diffusion models." AAAI 2024.

Identifying the kind behind SMILES—anatomical therapeutic chemical classification using structure-only representations

Yi Cao, Zhen-Qun Yang, Xu-Lu Zhang, et al., (2022). "Identifying the kind behind SMILES—anatomical therapeutic chemical classification using structure-only representations." Briefings in Bioinformatics.

Deep Collocative Learning for Immunofixation Electrophoresis Image Analysis

Xiao-Yong Wei, Zhen-Qun Yang, Xu-Lu Zhang, et al., (2021). "Deep Collocative Learning for Immunofixation Electrophoresis Image Analysis." IEEE Transactions on Medical Imaging.