Songming Liu - RankMe

28 papers A* 9Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization. CoRR Songming Liu, Bangguo Li, Kai Ma, Lingxuan Wu, Hengkai Tan, Xiao Ouyang, Hang Su, Jun Zhu
2025	J	`jnl`	From reactive to cognitive: brain-inspired spatial intelligence for embodied agents. CoRR Shouwei Ruan, Liyuan Wang, Caixin Kang, Qihui Zhu, Songming Liu, Xingxing Wei, Hang Su
2025	A*	`conf`	RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation. ICLR Songming Liu, Lingxuan Wu, Bangguo Li, Hengkai Tan, Huayu Chen, Zhengyi Wang, Ke Xu, Hang Su, Jun Zhu
2025	J	`jnl`	Regulating learning module for patient monitoring interactive event detecting robots. Expert Syst. Appl. Fan Wu, Lin Wu, Songming Liu, Ghulam Abbas, Salwa Othmen, Jingming Wang
2024	A*	`conf`	DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training. ICML Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu
2024	J	`jnl`	DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training. CoRR Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu
2024	A*	`conf`	Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning. ICML Hengkai Tan, Songming Liu, Kai Ma, Chengyang Ying, Xingxing Zhang, Hang Su, Jun Zhu
2024	J	`jnl`	Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning. CoRR Hengkai Tan, Songming Liu, Kai Ma, Chengyang Ying, Xingxing Zhang, Hang Su, Jun Zhu
2024	J	`jnl`	ManiBox: Enhancing Spatial Grasping Generalization via Scalable Simulation Data Generation. CoRR Hengkai Tan, Xuezhou Xu, Chengyang Ying, Xinyi Mao, Songming Liu, Xingxing Zhang, Hang Su, Jun Zhu
2024	A*	`conf`	PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs. NeurIPS Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu
2024	J	`jnl`	Preconditioning for Physics-Informed Neural Networks. CoRR Songming Liu, Chang Su, Jiachen Yao, Zhongkai Hao, Hang Su, Youjia Wu, Jun Zhu
2024	J	`jnl`	RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation. CoRR Songming Liu, Lingxuan Wu, Bangguo Li, Hengkai Tan, Huayu Chen, Zhengyi Wang, Ke Xu, Hang Su, Jun Zhu
2024	A*	`conf`	Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations. ICML Ze Cheng, Zhongkai Hao, Xiaoqiang Wang, Jianing Huang, Youjia Wu, Xudan Liu, Yiru Zhao, Songming Liu, Hang Su
2024	J	`jnl`	Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations. CoRR Ze Cheng, Zhongkai Hao, Xiaoqiang Wang, Jianing Huang, Youjia Wu, Xudan Liu, Yiru Zhao, Songming Liu, Hang Su
2023	—	`conf`	Arterial Traffic Optimization Algorithm Based on Deep Reinforcement Learning and Green Wave Coordination Control in Complex Lane Queuing Conditions. ChineseCSCW (2) Tong Wang, Songming Liu, Liwei Chen, Min Ouyang, Shan Gao, Yingxue Zhang
2023	A*	`conf`	GNOT: A General Neural Operator Transformer for Operator Learning. ICML Zhongkai Hao, Zhengyi Wang, Hang Su, Chengyang Ying, Yinpeng Dong, Songming Liu, Ze Cheng, Jian Song, Jun Zhu
2023	J	`jnl`	GNOT: A General Neural Operator Transformer for Operator Learning. CoRR Zhongkai Hao, Chengyang Ying, Zhengyi Wang, Hang Su, Yinpeng Dong, Songming Liu, Ze Cheng, Jun Zhu, Jian Song
2023	A*	`conf`	MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks. ICML Jiachen Yao, Chang Su, Zhongkai Hao, Songming Liu, Hang Su, Jun Zhu
2023	J	`jnl`	MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks. CoRR Jiachen Yao, Chang Su, Zhongkai Hao, Songming Liu, Hang Su, Jun Zhu
2023	A*	`conf`	NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data. ICML Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu
2023	J	`jnl`	NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data. CoRR Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu
2023	J	`jnl`	PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs. CoRR Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu
2023	J	`jnl`	Reward Informed Dreamer for Task Generalization in Reinforcement Learning. CoRR Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Songming Liu, Jialian Li, Dong Yan, Jun Zhu
2023	—	`conf`	Vessel Traffic Flow Prediction and Analysis Based on Ship Big Data. ChineseCSCW (1) Tong Wang, Xiaoyang Gai, Songming Liu, Shan Gao, Min Ouyang, Liwei Chen
2022	A*	`conf`	A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs. NeurIPS Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng
2022	J	`jnl`	A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs. CoRR Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng
2022	J	`jnl`	Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications. CoRR Zhongkai Hao, Songming Liu, Yichi Zhang, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu
2021	J	`jnl`	Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip. Neurocomputing Nianyin Zeng, Han Li, Zidong Wang, Weibo Liu, Songming Liu, Fuad E. Alsaadi, Xiaohui Liu