Yuecheng Liu

According to our database, Yuecheng Liu authored at least 25 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

GemDepth: Geometry-Embedded Features for 3D-Consistent Video Depth.

Yuecheng Liu, Junda Cheng, Longliang Liu, Wenjing Liao, Hanrui Cheng, Yuzhou Wang, Xin Yang

CoRR, May, 2026

OpenPyRo-A1: An Open Python-Based Low-Cost Bimanual Robot for Embodied AI.

Helong Huang, Christopher E. Mower, Guowei Huang, Sarthak Das, Magnus Dierking, Guangyuan Luo, Kai Tan, Xi Chen, Yehai Yang, Yingbing Chen, Yiming Zeng, Yinchuan Li, Zhanpeng Zhang, Shuang Wu, Yingxue Zhang, Weichao Qiu, Tongtong Cao, Mian Qin, Sajjad Pakdamansavoji, Yuecheng Liu, Yuzheng Zhuang, Guangjian Tian, Jianye Hao, Jun Wang, Haitham Bou-Ammar, Xingyue Quan

IEEE Robotics Autom. Lett., January, 2026

2025

EchoVLA: Robotic Vision-Language-Action Model with Synergistic Declarative Memory for Mobile Manipulation.

Min Lin, Xiwen Liang, Bingqian Lin, Liu Jingzhi, Zijian Jiao, Kehan Li, Yuhan Ma, Yuecheng Liu, Shen Zhao, Yuzheng Zhuang, Xiaodan Liang

CoRR, November, 2025

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, David Gamaliel Arcos Bravo, Yuening Wang, Xiao Hu, Zhanguang Zhang, Xianze Yao, Yutong Li, Zhao Zhang, Ying Wen, Ying-Cong Chen, Xiaodan Liang, Liang Lin, Bin He, Haitham Bou-Ammar, He Wang, Huazhe Xu, Jiankang Deng, Shan Luo, Shuqiang Jiang, Wei Pan, Yang Gao, Stefanos Zafeiriou, Jan Peters, Yuzheng Zhuang, Yingxue Zhang, Yan Zheng, Hongyao Tang, Jianye Hao

CoRR, September, 2025

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, Yingxue Zhang, Jianye Hao, Xingyue Quan

CoRR, September, 2025

Distributional Policy Gradient With Distributional Value Function.

Qi Liu, Yanjie Li, Xiongtao Shi, Ke Lin, Yuecheng Liu, Yunjiang Lou

IEEE Trans. Neural Networks Learn. Syst., April, 2025

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, Haoping Xu, Guowei Huang, Zhanpeng Zhang, Tongtong Cao, Weichao Qiu, Xingyue Quan, Jianye Hao, Yuzheng Zhuang, Yingxue Zhang

CoRR, February, 2025

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, Helong Huang, Guangjian Tian, Weichao Qiu, Xingyue Quan, Jianye Hao, Yuzheng Zhuang

CoRR, January, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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, Tongtong Cao, Xingyue Quan, Yuzheng Zhuang, Yingxue Zhang, Jianye Hao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Astra: Efficient Transformer Architecture and Contrastive Dynamics Learning for Embodied Instruction Following.

Yueen Ma, Dafeng Chi, Shiguang Wu, Yuecheng Liu, Yuzheng Zhuang, Irwin King

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Data Efficient Deep Reinforcement Learning With Action-Ranked Temporal Difference Learning.

Qi Liu, Yanjie Li, Yuecheng Liu, Ke Lin, Jianqi Gao, Yunjiang Lou

IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

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, Tongtong Cao, Yuzheng Zhuang, Yingxue Zhang, Jianye Hao

CoRR, 2024

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

CoRR, 2024

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

Chang Chen, Yuecheng Liu, Yuzheng Zhuang, Sitong Mao, Kaiwen Xue, Shunbo Zhou

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

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

Proceedings of the 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, Ziqing Gong, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu

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

2022

RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow.

Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang, Yuecheng Liu, Minghuan Liu, Liyuan Mao, Ziqing Gong, Weinan Zhang, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu

CoRR, 2022

2021

Towards Autonomous Driving Decision by Combining Self-attention and Deep Reinforcement Learning.

Meiling Chen, Yanjie Li, Qi Liu, Shaohua Lv, Yunhong Xu, Yuecheng Liu

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

Action Set Based Policy Optimization for Safe Power Grid Management.

Bo Zhou, Hongsheng Zeng, Yuecheng Liu, Kejiao Li, Fan Wang, Hao Tian

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Multi-agent Pathfinding with Local and Global Guidance.

Yunhong Xu, Yanjie Li, Qi Liu, Jianqi Gao, Yuecheng Liu, Meiling Chen

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021

Efficient Power Grid Topology Control via Two-Stage Action Search.

Yuecheng Liu, Yanjie Li, Qi Liu, Yunhong Xu, Shaohua Lv, Meiling Chen

Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

Exploration via Distributional Reinforcement Learning with Epistemic and Aleatoric Uncertainty Estimation.

Qi Liu, Yanjie Li, Yuecheng Liu, Meiling Chen, Shaohua Lv, Yunhong Xu

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021