3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Rethinking State Disentanglement in Causal Reinforcement Learning
Haiyao Cao, Zhen Zhang, Panpan Cai +7
One of the significant challenges in reinforcement learning (RL) when dealing with noise is estimating latent states from observations. Causality provides rigorous theoretical supp…
cs.CL2023★ 3 cited
MindLLM: Pre-training Lightweight Large Language Model from Scratch, Evaluations and Domain Applications
Yizhe Yang, Huashan Sun, Jiawei Li +5
Large Language Models (LLMs) have demonstrated remarkable performance across various natural language tasks, marking significant strides towards general artificial intelligence. Wh…
eess.IV2023★ 1 cited
Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifier
Zhixing Zhang, Ziwei Zhao, Dong Wang +4
Automatic labeling of coronary arteries is an essential task in the practical diagnosis process of cardiovascular diseases. For experienced radiologists, the anatomically predeterm…