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.
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.
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.
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.
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.
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.
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.
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.
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.".
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.
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.
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).
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).
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.
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.
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.
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.
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.
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.
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.