no code implementations • 31 Aug 2023 • Si Liu, Chen Gao, Yuan Chen, Xingyu Peng, Xianghao Kong, Kun Wang, Runsheng Xu, Wentao Jiang, Hao Xiang, Jiaqi Ma, Miao Wang
Specifically, we analyze the performance changes of different methods under different bandwidths, providing a deep insight into the performance-bandwidth trade-off issue.
no code implementations • 22 Apr 2023 • Xingyu Peng, Zhenkun Zhou, Chong Zhang, Ke Xu
Public opinion is a crucial factor in shaping political decision-making.
no code implementations • 20 Jan 2023 • Chong Zhang, Zhenkun Zhou, Xingyu Peng, Ke Xu
Subsequently, we propose a bipartite graph neural network model, DoubleH, which aims to better utilize homogeneous and heterogeneous information in user stance detection tasks.
1 code implementation • CVPR 2023 • Chen Gao, Xingyu Peng, Mi Yan, He Wang, Lirong Yang, Haibing Ren, Hongsheng Li, Si Liu
In this paper, we propose an Adaptive Zone-aware Hierarchical Planner (AZHP) to explicitly divides the navigation process into two heterogeneous phases, i. e., sub-goal setting via zone partition/selection (high-level action) and sub-goal executing (low-level action), for hierarchical planning.
2 code implementations • COLING 2022 • Chong Zhang, He Zhu, Xingyu Peng, Junran Wu, Ke Xu
Inspired by the structural entropy, we construct the coding tree of the graph by minimizing the structural entropy and propose HINT, which aims to make full use of the hierarchical information contained in the text for the task of text classification.