3 papers
cs.AI2026
HaReCAP: Habitual-action Grounding for Recursive Large Language Model Agents
Shen Liu, Zhenguo Xu, Shaopu Wang +2
Long-horizon embodied tasks require LLM agents to iteratively decompose high-level goals, revise plans in response to environmental feedback, and ground leaf-level subgoals into va…
cs.LG2024
Federated Learning with Limited Node Labels
Bisheng Tang, Xiaojun Chen, Shaopu Wang +2
Subgraph federated learning (SFL) is a research methodology that has gained significant attention for its potential to handle distributed graph-structured data. In SFL, the local m…
cs.CV2022
PrUE: Distilling Knowledge from Sparse Teacher Networks
Shaopu Wang, Xiaojun Chen, Mengzhen Kou +1
Although deep neural networks have enjoyed remarkable success across a wide variety of tasks, their ever-increasing size also imposes significant overhead on deployment. To compres…