🐲 About Kaixing

Hello! I’m Kaixing Yang, you can call me Mark! I am a fourth-year PhD student at Renmin University of China (RUC). My research is primarily advised by Professor Jun He from Renmin University of China and Professor Hongyan Liu from Tsinghua University. My research interests include Generative AI, Digital Humans, and Human-Computer Interaction, with a particular emphasis on dance-related research.

šŸ“– Education

  • 2022.09 - present, PhD in Data Science and Engineering, Renmin University of China
  • 2018.09 - 2022.06, Undergraduate in Software Engineering, Nankai University

šŸ’» Internships

  • 2022.10 - 2024.01, Algorithm Intern (3D Digital Human), PSYCHE Tech Inc, Beijing, China
  • 2024.10 - 2025.06, Algorithm Intern (Human Video Understanding), Zhibaiyuan Tech Inc, Beijing, China
  • 2025.09 - 2026.04, Algorithm Intern (Human Video Generation), Amap (Alibaba), Beijing, China

šŸ”„ News

  • 2026.03: Ā šŸŽ‰šŸŽ‰ TokenDance paper was accepted at CVPR Workshop 2026.
  • 2025.09: Ā šŸŽ‰šŸŽ‰ MEGADance was accepted at NeurIPS 2025.
  • 2025.07: Ā šŸŽ‰šŸŽ‰ CoheDancers was accepted at ACM Multimedia 2025.
  • 2024.06: Ā šŸŽ‰šŸŽ‰ BeatDance,CoDancers were accepted at ICMR 2024.

šŸ“ Publications

* denotes equal contribution.

CVPR Workshop 2026 TokenDance: Token-to-Token Music-to-Dance Generation with Bidirectional Mamba preview

TokenDance: Token-to-Token Music-to-Dance Generation with Bidirectional Mamba

Ziyue Yang, Kaixing Yang, Xulong Tang

NeurIPS 2025 MEGADance: Mixture-of-Experts Architecture for Genre-Aware 3D Dance Generation preview

MEGADance: Mixture-of-Experts Architecture for Genre-Aware 3D Dance Generation

Kaixing Yang, Xulong Tang, Ziqiao Peng, Yuxuan Hu, Jun He, Hongyan Liu

ACM MM 2025 CoheDancers: Interactive Group Dance Generation via Music-Driven Coherence Decomposition preview

CoheDancers: Interactive Group Dance Generation via Music-Driven Coherence Decomposition

Kaixing Yang, Xulong Tang, Haoyu Wu, Qinliang Xue, Biao Qin, Hongyan Liu, Zhaoxin Fan

ICMR 2024 CoDancers: Music-Driven Coherent Group Dance Generation with Choreographic Unit preview

CoDancers: Music-Driven Coherent Group Dance Generation with Choreographic Unit

Kaixing Yang, Xulong Tang, Ran Diao, Hongyan Liu, Jun He, Zhaoxin Fan

ICMR 2024 BeatDance: A Beat-Based Model-Agnostic Contrastive Learning Framework for Music-Dance Retrieval preview

BeatDance: A Beat-Based Model-Agnostic Contrastive Learning Framework for Music-Dance Retrieval

Kaixing Yang, Xukun Zhou, Xulong Tang, Ran Diao, Hongyan Liu, Jun He, Zhaoxin Fan