Ming Zhang 章銘 Ph.D. Huawei Hong Kong Research Center, Building 2W, Hong Kong Science Park, N.T., Hong Kong. Email: mzhang367-c (at) my (dot) cityu (dot) edu (dot) hk

About

I am currently a senior algorithm engineer in the Celia Team (Huawei's AI virtual assistant), at Huawei Hong Kong Research Center, located in Pak Shek Kok, Hong Kong Science Park. Previously, I worked as a senior machine learning engineer at Hong Kong Applied Science and Technology Research Institute (ASTRI), and before that, I was a postdoctoral researcher at CIMDA.

I earned my Ph.D. in Electrical Engineering (EE), from City University of Hong Kong (CityU) in 2021, where I was supervised by Prof. Hong Yan. Earlier, I obtained my MSc in Electronic Information Engineering (with Distinction), also from the EE department, CityU. I completed my B.Eng. in Automation from Nanjing Normal University in 2017.

I am now working on Multimodal LLM projects. Specifically, I am interested in unified multimodal models for understanding, generation and image editing. I am also interested in Continual/Lifelong Learning for MLLMs, which aims to preserve original knowledge of MLLMs when acquiring new multimodal capabilities.

Selected Publications [Google Scholar]

	CURSOR: Scalable Mixed-Order Hypergraph Matching with CUR Decomposition Qixuan Zheng, Ming Zhang, Hong Yan. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 [paper][supp.]
	Orthonormal Product Quantization Network for Scalable Face Image Retrieval Ming Zhang, Xuefei Zhe, Hong Yan. Pattern Recognition, 2023 [paper][code]
	Deep Center-Based Dual-Constrained Hashing for Discriminative Face Image Retrieval Ming Zhang, Xuefei Zhe, Shifeng Chen, Hong Yan. Pattern Recognition, 2021 [paper][code]
	Improved Deep Classwise Hashing With Centers Similarity Learning for Image Retrieval Ming Zhang, Hong Yan. International Conference on Pattern Recognition (ICPR), 2021 [paper]
	Deep Eigen-Filters for Face Recognition: Feature Representation via Unsupervised Multi-Structure Filter Learning Ming Zhang, Sheheryar Khan, Hong Yan. Pattern Recognition, 2020. [paper]

Professional Activities

• Paper Reviewer
  

  International Journal of Computer Vision
  Pattern Recognition
  IEEE Transactions on Circuits and Systems for Video Technology
  Neurocomputing
  Expert Systems with Applications