About Me
Hi! I am Zixuan Chen (陈子璇). I am currently a Ph.D. Candidate at the School of Computer Science and Technology, Nanjing University (NJU). I am a member of the R&L Group, advised by Prof. Yang Gao and Assoc. Prof. Jing Huo.
Previously, I received my B.E. and M.E. degrees from Soochow University, School of Computer Science and Technology, under the supervision of Prof. Zongzhang Zhang. From Nov. 2024 to Nov. 2025, I was a visiting student at the National University of Singapore (NUS), working with Prof. Lin Shao.
🔬 Research Interests
My research focuses on Robot Learning, Reinforcement Learning, and Imitation Learning. I am particularly interested in:
- Long-horizon Manipulation: Leveraging prior knowledge (e.g., skill chaining, task decomposition) to solve complex, multi-stage tasks.
- Spatial Intelligence: Enabling robots to possess highly generalizable 3D spatial reasoning capabilities (e.g., 3D manipulation, world models).
🔥 News
- 2026.01 🎉 4 papers (RoTri-Diff, LaViRA, AdaptPNP and LISN) were accepted to ICRA 2026.
- 2026.01 🎉 "DeCo" was accepted to RAL 2026.
- 2025.11 🎉 "ManiLong-Shot" was accepted to AAAI 2026.
- 2025.10 Preprint "RoboHiMan" (Compositional Generalization in Long-horizon Manipulation) was released.
- 2025.05 Preprint "DeCo"(Task Decomposition and Skill Composition for Long-horizon Manipulation) was released.
- 2025.01 🎉 "GravMAD" was accepted to ICLR 2025.
- 2025.01 Preprint "RoboHorizon" (World Model for Long-horizon Manipulation) was released.
- 2024.09 🎉 "SCaR" (Skill Chaining) was accepted to NeurIPS 2024.
- 2023.12 🎉 "Cognizing and Imitating Robotic Skills" was accepted to AAMAS 2024.
- 2023.01 🎉 "TiLD" was accepted to AAMAS 2023.
📝 Selected Publications
(* equal contribution)
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DeCo: Task Decomposition and Skill Composition for Zero-Shot Generalization in Long-Horizon 3D Manipulation
Zixuan Chen, Junhui Yin, Yangtao Chen, Jing Huo, Pinzhuo Tian, Jieqi Shi, Yiwen Hou, Yinchuan Li, Yang Gao.
IEEE Robotics and Automation Letters (RAL), 2026.
📄 PDF 🌐 Website 💻 Code -
ManiLong-Shot: Interaction-Aware One-Shot Imitation Learning for Long-Horizon Manipulation
Zixuan Chen, Chongkai Gao, Lin Shao, Jieqi Shi, Jing Huo, Yang Gao.
AAAI Conference on Artificial Intelligence (AAAI), 2026.
📄 PDF -
RoboHiMan: A Hierarchical Evaluation Paradigm for Compositional Generalization in Long-Horizon Manipulation
Yangtao Chen*, Zixuan Chen*, Nga Teng Chan, Junting Chen, Junhui Yin, Jieqi Shi, Yang Gao, Yong-Lu Li, Jing Huo.
arXiv preprint arXiv:2510.13149, 2025.
📄 PDF 🌐 Website 💻 Code -
GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation
Yangtao Chen*, Zixuan Chen*, Junhui Yin, Jing Huo, Pinzhuo Tian, Jieqi Shi, Yang Gao.
International Conference on Learning Representations (ICLR), 2025.
📄 PDF 🌐 Website -
RoboHorizon: An LLM-Assisted Multi-View World Model for Long-Horizon Robotic Manipulation
Zixuan Chen, Jing Huo, Yangtao Chen, Yang Gao.
arXiv preprint arXiv:2501.06605, 2025.
📄 PDF -
SCaR: Refining Skill Chaining for Long-Horizon Robotic Manipulation via Dual Regularization
Zixuan Chen, Ze Ji, Jing Huo, Yang Gao.
Conference on Neural Information Processing Systems (NeurIPS), 2024.
📄 PDF -
Cognizing and Imitating Robotic Skills via a Dual Cognition-Action Architecture
Zixuan Chen, Ze Ji, Shuyang Liu, Jing Huo, Yiyu Chen, Yang Gao.
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2024.
📄 PDF -
TiLD: Third-person Imitation Learning by Estimating Domain Cognitive Differences of Visual Demonstrations
Zixuan Chen, Wenbin Li, Yang Gao, Yiyu Chen.
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023.
📄 PDF
🎖 Honors and Awards
- 2023.07 China Scholarship Council (CSC) Scholarship
- 2022.10 Nanjing University Graduate Talent Scholarship
- 2020.06 Outstanding Graduate Student of Soochow University
- 2019.10 Soochow University Graduate Academic Scholarship, First Prize
- 2018.10 Soochow University Graduate Academic Scholarship, Second Prize
💼 Services
- Conference Reviewer: NeurIPS, ICLR, ICRA, IROS, CoRL, AAAI, CVPR
- Journal Reviewer: IEEE TNNLS, RA-L, TASE
💻 Internships
- 2019.06 - 2019.10: Research Intern at NetEase Fuxi Lab, Hangzhou, China.