Yuxing Wang (王昱兴)

您好 Привет Hello Bonjour Ciao こんにちは 안녕하세요 Hallo Hola

I’m a researcher in Embodied AI with a slightly unusual dream: “Design a machine that can design other machines”. My work sits at the intersection of Robotics and Learning — basically, I create magic to co-design the brain, body, and environment of embodied agents so they’re not only structurally sound but also behaviorally brilliant 😉.

I earned my B.Eng. from Southwest Minzu University (2020) and my M.Eng. from Tsinghua University (2023), where I was lucky to be advised by Prof. Xueqian Wang. Right now, I’m chasing a Ph.D. in Control Science and Engineering — also at Tsinghua. Outside the lab, I’ve had the pleasure of being a research intern at Tencent AI Lab (2022–2023), thanks to the 2022 Tencent Rhino-Bird Research Elite Program. There I worked with Shuang Wu and Haobo Fu on something I truly enjoyed: generating user-specified behavioral diversity for Game AI.

When I’m not thinking about embodied agents, you’ll likely find me listening to Hikaru Utada (my all-time favorite singer), or laughing out loud at comedies and talk shows. If any of my research — or just the idea of it — sparks your curiosity, feel free to drop me an email 📬. I’d love to chat!

News

May 30, 2026	One paper got accepted to PPSN 2026.
Mar 21, 2026	One paper got accepted to GECCO 2026.
Dec 01, 2025	Our survey “Embodied Co-Design for Rapidly Evolving Agents: Taxonomy, Frontiers, and Challenges” is publicly available on Arxiv!
Aug 01, 2025	Served as a reviewer for ICLR 2026 and AAAI 2026.
May 01, 2025	Two papers got accepted to International Astronautical Congress (IAC) 2025. See you in Sydney-Australia!
Mar 10, 2025	Served as a program committee for NeurIPS 2025 and ACMMM 2025.
Jan 01, 2025	A site of our survey “Embodied Co-Design for Rapidly Evolving Agents: Taxonomy, Frontiers, and Challenges” has been created. The repo will be updated on a regular basis! The full paper will be updated to Arxiv soon!

Selected Publications

PPSN

Enhancing Quality-Diversity with Adaptive Heterogeneous Operator Allocation

Xinyang Li, Yuxing Wang^*, Xueqian Wang, and Houde Liu

Parallel Problem Solving From Nature (PPSN), 2026

poster arXiv Bib

@article{li2026,
  title = {Enhancing Quality-Diversity with Adaptive Heterogeneous Operator Allocation},
  author = {Li, Xinyang and Wang, Yuxing and Wang, Xueqian and Liu, Houde},
  journal = {Parallel Problem Solving From Nature},
  year = {2026},
  google_scholar_id = {},
}

GECCO

Surrogate-Assisted Evolutionary Multi-Agent Reinforcement Learning with Adaptive Fitness Evaluation

Cong Yu, Yuxing Wang^*, Xinyang Li, and Xueqian Wang

Genetic and Evolutionary Computation Conference (GECCO), 2026

poster arXiv Bib

@article{yu2026surrogate,
  title = {Surrogate-Assisted Evolutionary Multi-Agent Reinforcement Learning with Adaptive Fitness Evaluation},
  author = {Yu, Cong and Wang, Yuxing and Li, Xinyang and Wang, Xueqian},
  journal = {Genetic and Evolutionary Computation Conference},
  year = {2026},
  google_scholar_id = {},
}

Survey

Embodied Co-Design for Rapidly Evolving Agents: Taxonomy, Frontiers, and Challenges

Yuxing Wang, Zhiyu Chen, Tiantian Zhang, Qiyue Yin, Yongzhe Chang, Zhiheng Li, Liang Wang, and Xueqian Wang

Arxiv (Survey), 2025

Preprint arXiv Bib

@article{wang2025survey,
  title = {Embodied Co-Design for Rapidly Evolving Agents: Taxonomy, Frontiers, and Challenges},
  author = {Wang, Yuxing and Chen, Zhiyu and Zhang, Tiantian and Yin, Qiyue and Chang, Yongzhe and Li, Zhiheng and Wang, Liang and Wang, Xueqian},
  journal = {Arxiv},
  year = {2025},
  google_scholar_id = {roLk4NBRz8UC},
}

IAC

Morphology and Behavior Co-Optimization of Modular Satellites for Attitude Control

Yuxing Wang, Jie Li, Cong Yu, Xinyang Li, Simeng Huang, Yongzhe Chang, Xueqian Wang, and Bin Liang

The 75th International Astronautical Congress (IAC), 2024

EI, Oral Presentation arXiv Bib

Top conference

@article{wang2024morphology,
  title = {Morphology and Behavior Co-Optimization of Modular Satellites for Attitude Control},
  author = {Wang, Yuxing and Li, Jie and Yu, Cong and Li, Xinyang and Huang, Simeng and Chang, Yongzhe and Wang, Xueqian and Liang, Bin},
  journal = {The 75th International Astronautical Congress},
  year = {2024},
  google_scholar_id = {eQOLeE2rZwMC},
}

TNNLS

Dynamics-adaptive continual reinforcement learning via progressive contextualization

Tiantian Zhang, Zichuan Lin, Yuxing Wang, Deheng Ye, Qiang Fu, Wei Yang, Xueqian Wang, Bin Liang, Bo Yuan, and Xiu Li

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023

SCI arXiv Bib HTML Code

JCR Q1, IF=10.4

@article{zhang2023dynamics,
  title = {Dynamics-adaptive continual reinforcement learning via progressive contextualization},
  author = {Zhang, Tiantian and Lin, Zichuan and Wang, Yuxing and Ye, Deheng and Fu, Qiang and Yang, Wei and Wang, Xueqian and Liang, Bin and Yuan, Bo and Li, Xiu},
  journal = {IEEE Transactions on Neural Networks and Learning Systems},
  year = {2023},
  publisher = {IEEE},
  google_scholar_id = {9yKSN-GCB0IC},
}

CoRL

PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training

Yuxing Wang, Shuang Wu, Tiantian Zhang, Yongzhe Chang, Haobo Fu, Qiang Fu, and Xueqian Wang

In Conference on Robot Learning (CoRL) , 2023

EI, Oral Presentation, top 6.6% Bib HTML Code

Top conference

@inproceedings{wang2023preco,
  title = {PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training},
  author = {Wang, Yuxing and Wu, Shuang and Zhang, Tiantian and Chang, Yongzhe and Fu, Haobo and Fu, Qiang and Wang, Xueqian},
  booktitle = {Conference on Robot Learning},
  pages = {478--498},
  year = {2023},
  organization = {PMLR},
  google_scholar_id = {Tyk-4Ss8FVUC},
}

ICLR

Curriculum-based co-design of morphology and control of voxel-based soft robots

Yuxing Wang, Shuang Wu, Haobo Fu, Qiang Fu, Tiantian Zhang, Yongzhe Chang, and Xueqian Wang

In The Eleventh International Conference on Learning Representations (ICLR) , 2023

EI, Poster Bib HTML Code

Top conference

@inproceedings{wang2023curriculum,
  title = {Curriculum-based co-design of morphology and control of voxel-based soft robots},
  author = {Wang, Yuxing and Wu, Shuang and Fu, Haobo and Fu, Qiang and Zhang, Tiantian and Chang, Yongzhe and Wang, Xueqian},
  booktitle = {The Eleventh International Conference on Learning Representations},
  year = {2023},
  google_scholar_id = {IjCSPb-OGe4C},
}

InS

A surrogate-assisted controller for expensive evolutionary reinforcement learning

Yuxing Wang, Tiantian Zhang, Yongzhe Chang, Xueqian Wang, Bin Liang, and Bo Yuan

Information Sciences (InS), 2022

SCI arXiv Bib HTML Code

JCR Q1, IF=8.233

@article{wang2022surrogate,
  title = {A surrogate-assisted controller for expensive evolutionary reinforcement learning},
  author = {Wang, Yuxing and Zhang, Tiantian and Chang, Yongzhe and Wang, Xueqian and Liang, Bin and Yuan, Bo},
  journal = {Information Sciences},
  volume = {616},
  pages = {539--557},
  year = {2022},
  google_scholar_id = {qjMakFHDy7sC},
  publisher = {Elsevier},
}