CV

Work Experience

• 2022.03 - Present: Senior Researcher
  • Huawei Noah’s Ark Lab
  • Research Areas:
    • Multimodal Large Language Models for Embodied AI
    • Spatial Reasoning and Planning
    • Imitation Learning and Reinforcement Learning for Autonomous Driving
  • Developing intelligent systems that can perceive, reason, and interact with physical environments
• 2021.05 - 2021.09: Research Intern
  • Tencent IEG (Interactive Entertainment Group)
  • Research Focus:
    • Reinforcement Learning algorithms for Game AI
    • Multi-agent coordination and decision-making systems
• 2020.08 - 2021.04: Research Intern
  • Baidu NLP Department
  • Research Focus:
  • Reinforcement Learning and Distributed RL algorithms
  • Evolutionary optimization algorithms
    • Intelligent power grid control

Education

• 2019.09 - 2022.03: Master of Science
  • Harbin Institute of Technology
• 2015.09 - 2019.06: Bachelor of Science
  • Central South University

Research Interests

• Embodied AI
  • Developing intelligent agents for physical world interaction
  • Multi-modal perception and decision making
  • Sim-to-real transfer learning
• Reinforcement Learning
  • Deep reinforcement learning algorithms
  • Multi-agent systems
  • Model-based reinforcement learning
• Multimodal Large Language Models
  • Vision-language integration
  • Action-conditioned models
  • Foundation models for robotics

Publications

SpatialCoT: Advancing Spatial Reasoning through Coordinate Alignment and Chain-of-Thought for Embodied Task Planning

Yuecheng Liu; Dafeng Chi; Shiguang Wu; Zhanguang Zhang; Yaochen Hu; Lingfeng Zhang; Yingxue Zhang; Shuang Wu; Tongtong Cao; Guowei Huang (2025). "SpatialCoT: Advancing Spatial Reasoning through Coordinate Alignment and Chain-of-Thought for Embodied Task Planning." arXiv preprint arXiv:2501.10074.

OmniEVA: Embodied Versatile Planner via Task-Adaptive 3D-Grounded and Embodiment-aware Reasoning

Yuecheng Liu; Dafeng Chi; Shiguang Wu; Zhanguang Zhang; Yuzheng Zhuang; Bowen Yang; He Zhu; Lingfeng Zhang; Pengwei Xie; David Gamaliel Arcos Bravo (2025). "OmniEVA: Embodied Versatile Planner via Task-Adaptive 3D-Grounded and Embodiment-aware Reasoning." arXiv preprint arXiv:2509.09332.

Mem2ego: Empowering vision-language models with global-to-ego memory for long-horizon embodied navigation

Lingfeng Zhang; Yuecheng Liu; Zhanguang Zhang; Matin Aghaei; Yaochen Hu; Hongjian Gu; Mohammad Ali Alomrani; David Gamaliel Arcos Bravo; Raika Karimi; Atia Hamidizadeh (2025). "Mem2ego: Empowering vision-language models with global-to-ego memory for long-horizon embodied navigation." arXiv preprint arXiv:2502.14254.

ASCENT: Autonomous Skill Learning Toward Complex Embodied Tasks With Foundation Models

Haolin Wu; Yuecheng Liu; Junyi Dong; Heng Zhang; Sitong Mao; Hesheng Wang; Weigang Wu; Shunbo Zhou (2025). "ASCENT: Autonomous Skill Learning Toward Complex Embodied Tasks With Foundation Models." 2025 IEEE International Conference on Robotics and Automation (ICRA), 16752-16758. IEEE.

Structured preference optimization for vision-language long-horizon task planning

Xiwen Liang; Min Lin; Weiqi Ruan; Rongtao Xu; Yuecheng Liu; Jiaqi Chen; Bingqian Lin; Yuzheng Zhuang; Xiaodan Liang (2025). "Structured preference optimization for vision-language long-horizon task planning." EMNLP 2025.

MineAnyBuild: Benchmarking Spatial Planning for Open-world AI Agents

Ziming Wei; Bingqian Lin; Zijian Jiao; Yunshuang Nie; Liang Ma; Yuecheng Liu; Yuzheng Zhuang; Xiaodan Liang (2025). "MineAnyBuild: Benchmarking Spatial Planning for Open-world AI Agents." NeurIPS 2025 Datasets and Benchmarks Track.

Embodied Arena: A Comprehensive, Unified, and Evolving Evaluation Platform for Embodied AI

Fei Ni; Min Zhang; Pengyi Li; Yifu Yuan; Lingfeng Zhang; Yuecheng Liu; Peilong Han; Longxin Kou; Shaojin Ma; Jinbin Qiao (2025). "Embodied Arena: A Comprehensive, Unified, and Evolving Evaluation Platform for Embodied AI." arXiv preprint arXiv:2509.15273.

Et-plan-bench: Embodied task-level planning benchmark towards spatial-temporal cognition with foundation models

Lingfeng Zhang; Yuening Wang; Hongjian Gu; Atia Hamidizadeh; Zhanguang Zhang; Yuecheng Liu; Yutong Wang; David Gamaliel Arcos Bravo; Junyi Dong; Shunbo Zhou (2024). "Et-plan-bench: Embodied task-level planning benchmark towards spatial-temporal cognition with foundation models." IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025).

SCALE: Self-Correcting Visual Navigation for Mobile Robots via Anti-Novelty Estimation

Chang Chen; Yuecheng Liu; Yuzheng Zhuang; Sitong Mao; Kaiwen Xue; Shunbo Zhou (2024). "SCALE: Self-Correcting Visual Navigation for Mobile Robots via Anti-Novelty Estimation." 2024 IEEE International Conference on Robotics and Automation (ICRA).

Data efficient deep reinforcement learning with action-ranked temporal difference learning

Qi Liu; Yanjie Li; Yuecheng Liu; Ke Lin; Jianqi Gao; Yunjiang Lou (2024). "Data efficient deep reinforcement learning with action-ranked temporal difference learning." IEEE Transactions on Emerging Topics in Computational Intelligence, 8(4), 2949-2961. IEEE.

Actra: Optimized transformer architecture for vision-language-action models in robot learning

Yueen Ma; Dafeng Chi; Shiguang Wu; Yuecheng Liu; Yuzheng Zhuang; Jianye Hao; Irwin King (2024). "Actra: Optimized transformer architecture for vision-language-action models in robot learning." EMNLP 2025.

Memory-Driven Multimodal Chain of Thought for Embodied Long-Horizon Task Planning

Xiwen Liang; Min Lin; Weiqi Ruan; Yuecheng Liu; Yuzheng Zhuang; Xiaodan Liang (2024). "Memory-Driven Multimodal Chain of Thought for Embodied Long-Horizon Task Planning.".

Distributional policy gradient with distributional value function

Qi Liu; Yanjie Li; Xiongtao Shi; Ke Lin; Yuecheng Liu; Yunjiang Lou (2024). "Distributional policy gradient with distributional value function." IEEE Transactions on Neural Networks and Learning Systems, 36(4), 6556-6568. IEEE.

Learnable behavior control: Breaking atari human world records via sample-efficient behavior selection

Jiajun Fan; Yuzheng Zhuang; Yuecheng Liu; Jianye Hao; Bin Wang; Jiangcheng Zhu; Hao Wang; Shu-Tao Xia (2023). "Learnable behavior control: Breaking atari human world records via sample-efficient behavior selection." Eleventh International Conference on Learning Representations, 2023.

RITA: Boost driving simulators with realistic interactive traffic flow

Zhengbang Zhu; Shenyu Zhang; Yuzheng Zhuang; Yuecheng Liu; Minghuan Liu; Ziqin Gong; Shixiong Kai; Qiang Gu; Bin Wang; Siyuan Cheng (2023). "RITA: Boost driving simulators with realistic interactive traffic flow." Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 1-10.

Efficient Power Grid Topology Control via Two-Stage Action Search

Yuecheng Liu; Yanjie Li; Qi Liu; Yunhong Xu; Shaohua Lv; Meiling Chen (2021). "Efficient Power Grid Topology Control via Two-Stage Action Search." International Conference on Intelligent Robotics and Applications, 694-704. Springer International Publishing Cham.

Action set based policy optimization for safe power grid management

Bo Zhou; Hongsheng Zeng; Yuecheng Liu; Kejiao Li; Fan Wang; Hao Tian (2021). "Action set based policy optimization for safe power grid management." Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 168-181. Springer International Publishing Cham.

Exploration via distributional reinforcement learning with epistemic and aleatoric uncertainty estimation

Qi Liu; Yanjie Li; Yuecheng Liu; Meiling Chen; Shaohua Lv; Yunhong Xu (2021). "Exploration via distributional reinforcement learning with epistemic and aleatoric uncertainty estimation." 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), 2256-2261. IEEE.

Multi-agent pathfinding with local and global guidance

Yunhong Xu; Yanjie Li; Qi Liu; Jianqi Gao; Yuecheng Liu; Meiling Chen (2021). "Multi-agent pathfinding with local and global guidance." 2021 IEEE International Conference on Networking, Sensing and Control (ICNSC), 1, 1-7. IEEE.

Towards autonomous driving decision by combining self-attention and deep reinforcement learning

Meiling Chen; Yanjie Li; Qi Liu; Shaohua Lv; Yunhong Xu; Yuecheng Liu (2021). "Towards autonomous driving decision by combining self-attention and deep reinforcement learning." 2021 IEEE International Conference on Real-time Computing and Robotics (RCAR), 1110-1115. IEEE.