Kaipeng Fang

Hi, I’m Kaipeng Fang (方恺鹏 in Chinese). I am a third-year Ph.D. student at UESTC, supervised by Prof. Lianli Gao and Prof. Jingkuan Song. I received my Bachelor’s degree from SDUT in 2023. That same year, I joined UESTC to pursue my Ph.D. through the direct doctoral program (a five-year track).

My early research focused on Computer Vision (CV) and Image Retrieval, leading to a publication at CVPR 2024. Currently, my research interests have shifted toward Embodied AI and Robotics, with my first robot-learning paper, SimHum, accepted at CoRL 2026. I am particularly focused on exploring how to effectively leverage data from various sources, especially human data, for generalizable robot learning. Having long admired Elon Musk’s mindset, I strictly align my research philosophy with first principles. My ultimate goal is to achieve true generalist robots by scaling up data-driven robot learning.

I also maintain a personal research blog at ByteGather (码途拾遗 in Chinese), where I share insights on algorithms, machine learning, and robotics. It currently hosts 200+ articles and has attracted more than 360k visitors. Additionally, I run a WeChat Official Account with over 3k subscribers. When I’m not training robots, I’m training myself 🏋️, exploring the world, and shooting the journey. See my TravelShot.

Publications

CoRL

Sim-and-Human Co-training for Data-Efficient and Scene-Generalizable Bimanual Manipulation

Kaipeng Fang, Weiqing Liang, Yuyang Li, Ji Zhang, Pengpeng Zeng, Heng Tao Shen, Jingkuan Song, and Lianli Gao

In 10th Annual Conference on Robot Learning (CoRL), 2026

arXiv Bib Website

@inproceedings{fang2026simhum,
  title = {Sim-and-Human Co-training for Data-Efficient and Scene-Generalizable Bimanual Manipulation},
  author = {Fang, Kaipeng and Liang, Weiqing and Li, Yuyang and Zhang, Ji and Zeng, Pengpeng and Shen, Heng Tao and Song, Jingkuan and Gao, Lianli},
  booktitle = {10th Annual Conference on Robot Learning (CoRL)},
  year = {2026},
}

CVPR

ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval

Kaipeng Fang, Jingkuan Song, Lianli Gao, Pengpeng Zeng, Zhi-Qi Cheng, Xiyao Li, and Heng Tao Shen

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

TL;DR arXiv Bib Code

@inproceedings{fang2024pros,
  title = {ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval},
  author = {Fang, Kaipeng and Song, Jingkuan and Gao, Lianli and Zeng, Pengpeng and Cheng, Zhi-Qi and Li, Xiyao and Shen, Heng Tao},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  tldr = {This paper proposes Prompting-to-Simulate (ProS), a novel prompt tuning framework for Universal Cross-Domain Retrieval (UCDR) that generates Content-aware Dynamic Prompts via a two-stage simulation process to effectively address domain and semantic shifts, achieving state-of-the-art performance with high parameter efficiency.},
}

Programming Competition Awards (Selected)

(ACM-ICPC) International Collegiate Programming Contest Regional Contest

Silver Medal 🥈

With Xinrui Zhao, Junlin Mu. Supervised by Prof. Xiaohong Liu.

Team: Shandong University of Technology

[2022] Silver Award 🥈, (CCCC) China Collegiate Computing Contest
[2022] Second Prize 🥈, RoboCom Robot Development Competition CAIP Programming Design National Finals
[2021] Bronze Medal 🥉, (CCPC) China Collegiate Programming Contest Regional Contest (Harbin)
[2021] Bronze Medal 🥉, (ACM-ICPC) 45th International Collegiate Programming Contest Regional Contest (Shenyang)
[2021] Silver Medal 🥈, (SDCPC) China Collegiate Programming Contest Shandong Provincial Contest
[2021] Team First Prize 🥇, (CCCC) China Collegiate Computing Contest
[2021] Individual First Prize 🥇, (CCCC) China Collegiate Computing Contest
[2020] National Gold Medal Team 🥇, (CCCC) China Collegiate Computing Contest
[2020] Bronze Medal 🥉, (ACM-ICPC) 45th International Collegiate Programming Contest Regional Contest (Jinan)
[2020] Bronze Medal 🥉, (CCPC) China Collegiate Programming Contest Regional Contest (Qinhuangdao)

Honors and Services

Honors
- [2025] Outstanding Student Paper Nomination, Sichuan Computer Federation
- [2024] Academic Second Class Scholarship, University of Electronic Science and Technology of China
- [2021] National Scholarship, Ministry of Education of P.R. China
- [2021] Outstanding Student, Education Department of Shandong Province
- [2021] Science and Technology Innovation Model, Shandong University Of Technology
Services
- Captain & Student Coach of SDUT ACM Competitive Programming Team (2020-2022)
- Regular Reviewer for CVPR2026
- Regular Reviewer for TMM