Publications

You can also find my articles on my Google Scholar profile.

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

Published in arXiv preprint arXiv:2501.10074, 2025

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

Published in arXiv preprint arXiv:2509.09332, 2025

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

Published in arXiv preprint arXiv:2502.14254, 2025

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

Published in 2025 IEEE International Conference on Robotics and Automation (ICRA), 2025

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

Published in EMNLP 2025, 2025

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

Published in NeurIPS 2025 Datasets and Benchmarks Track, 2025

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

Published in arXiv preprint arXiv:2509.15273, 2025

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

Published in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025), 2024

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

Published in 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024

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

Published in IEEE Transactions on Emerging Topics in Computational Intelligence, 2024

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

Published in EMNLP 2025, 2024

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

Published in , 2024

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

Published in IEEE Transactions on Neural Networks and Learning Systems, 2024

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

Published in Eleventh International Conference on Learning Representations, 2023, 2023

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

Published in Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

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

Published in International Conference on Intelligent Robotics and Applications, 2021

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

Published in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2021

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

Published in 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), 2021

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

Published in 2021 IEEE International Conference on Networking, Sensing and Control (ICNSC), 2021

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

Published in 2021 IEEE International Conference on Real-time Computing and Robotics (RCAR), 2021

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.