Zhiqi Kang

About Me

I’m a third-year Ph.D. candidate at Inria’s Thoth team, working under the supervision of Dr. Karteek Alahari. My research involves developing realistic deep learning models that learn continually (Continual Learning) from partially labeled visual information (Computer Vision) or multi-modal information (Multi-modal learning).

Prior to joining the Ph.D. program, I had the opportunity to work as a Research Engineer with Inria and Meta Reality Labs where I applied my skills to audio-visual speech processing. The project was under the mentorship of Dr. Radu Horaud (Inria), Dr. Mostafa Sadeghi (Inria) and Dr. Jacob Donley (Meta) and Dr. Anurag Kumar (Meta).

I completed my master’s degree in Machine Learning and Optimization of Complex Systems from Université de Technologie de Compiègne (Sorbonne). I obtained my engineer’s degree in Decision Data Mining from Université de Technologie de Troyes.

Research Interests

• Continual Learning: continual semi-supervised learning, contiual learning with foundation models
• Computer Vision: image/video classification, face frontalization, video understanding
• Audio-visual Speech Processing: audio-visual speech enhancement, audio-visual speech recognition

News

• [2025.01] One paper about general continual learning based on prompt initialization and output layer masking is accepted by ICLR 2025. Huge thanks to all my co-authors! More details to come soon.

• [2024.04] I will be attending ICVSS 2024 summer school in Sicily. The topic of this year is Computer Vision in the Age of Large Language Models. Looking forward to it!

• [2024.04] One paper about task-imbalanced continual learning based on dynamic prompt learning is accepted by IJCAI 2024. Congrats to my collaborators! More details to come soon.

• [2023.08] One paper about semi-supervised continual learning is accepted by ICCV 2023 and is selected as an oral presentation (selection rate 1.8%)!

Publications

Services

Review

• ACM Multimedia: 2022-2024
• CVPR : 2023-2025
• NeurIPS : 2022-2024
• ICLR : 2023-2025
• ACCV, WACV: 2024
• ICML: 2025
• Computer Vision and Image Understanding (CVIU)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• IEEE Transactions on Mobile Computing

Membership & Activities

• [2023-present] Member of the The BAAI Young Scientist Association
• [2023-present] Member of the The Computer Vision Foundation
• [2022-2023] Vice president of the Section Grenoble of Chinese Student and Scholar Association in Grenoble, France