I am a final-year Ph.D. student at Peking University Shenzhen Graduate School, under the supervision of ProfessorsJian ZhangandJie Chen.

My research focuses on 3D Vision, Continual Learning and Transfer Learning, with strong interest and experience in AIGC and MultiModal Large Language Models.

Prior to my doctoral studies, I had the opportunity to work as a full-stack software engineer for six years, where I was fortunate to lead a small team developing securities trading systems. This experience allowed me to gain valuable expertise in software development, as well as leadership and project management.

🎯 I am expected to graduate in July 2025, and I am currently seeking suitable job opportunities. If you are interested, feel free to contact me.

Recent News

  • [2024/11]💡 1 paper submitted to CVPR 2025 !
  • [2024/10]🌟 1 paper accepted to TMM!
  • [2024/09]🎉 1 paper accepted to VCIP 2024 !
  • [2024/09]🎊 1 paper accepted to NeurIPS 2024 !
  • [2023/07]✨ 1 paper accepted to ICCV 2023 !
  • [2022/06]🤗 1 paper accepted to ECCV 2022 !

Selected Publications

RelayGS: Reconstructing Dynamic Scenes with Large-Scale and Complex Motions via Relay Gaussians

RelayGS: Reconstructing Dynamic Scenes with Large-Scale and Complex Motions via Relay Gaussians

Qiankun Gao (高乾坤), Yanmin Wu, Chengxiang Wen, Jiarui Meng, Luyang Tang, Jie Chen, Ronggang Wang, Jian Zhang

arXiv preprint, 2024

HiCoM: Hierarchical Coherent Motion for Dynamic Streamable Scenes with 3D Gaussian Splatting

HiCoM: Hierarchical Coherent Motion for Dynamic Streamable Scenes with 3D Gaussian Splatting

Qiankun Gao (高乾坤), Jiarui Meng, Chengxiang Wen, Jie Chen, Jian Zhang

Advances in Neural Information Processing Systems (NeurIPS), 2024

A Unified Continual Learning Framework with General Parameter-Efficient Tuning

A Unified Continual Learning Framework with General Parameter-Efficient Tuning

Qiankun Gao (高乾坤), Chen Zhao, Yifan Sun, Teng Xi, Gang Zhang, Bernard Ghanem, Jian Zhang

International Conference on Computer Vision (ICCV), 2023

R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning

R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning

Qiankun Gao (高乾坤), Chen Zhao, Bernard Ghanem, Jian Zhang

European Conference on Computer Vision (ECCV), 2022

Language-Assisted 3D Scene Understanding

Language-Assisted 3D Scene Understanding

Yanmin Wu, Qiankun Gao (高乾坤), Renrui Zhang, Jian Zhang

IEEE Transactions on Multimedia (TMM), 2024