no code implementations • 20 May 2024 • Wenguo Li, xinling Guo, Xu Jiao, Tiancheng Huang, Xiaoran Yan, Yao Yang
VFLHLP first pre-trains local networks on the local data of participating parties.
1 code implementation • 13 Nov 2021 • Xintao Xiang, Tiancheng Huang, Donglin Wang
In this paper, we propose Learning to Evolve on Dynamic Graphs (LEDG) - a novel algorithm that jointly learns graph information and time information.
no code implementations • 10 Dec 2020 • Tiancheng Huang, Ke Xu, Donglin Wang
Domain adaptation using graph-structured networks learns label-discriminative and network-invariant node embeddings by sharing graph parameters.
no code implementations • 8 Aug 2020 • Xinyi Xu, Tiancheng Huang, Pengfei Wei, Akshay Narayan, Tze-Yun Leong
This work is inspired by recent advances in hierarchical reinforcement learning (HRL) (Barto and Mahadevan 2003; Hengst 2010), and improvements in learning efficiency from heuristic-based subgoal selection, experience replay (Lin 1993; Andrychowicz et al. 2017), and task-based curriculum learning (Bengio et al. 2009; Zaremba and Sutskever 2014).