Contextual Dependency-aware Graph Convolutional Network for Extracting Entity Relations. - Jiahui Liao; Yajun Du (ICAIIC, 2023)

Deep Incomplete Multi-View Network Semi-Supervised Multi-Label Learning with Unbiased Loss. - Quanjiang Li; Tingjin Luo; Mingdie Jiang; Jiahui Liao; Zhangqi Jiang (ACM Multimedia, 2024)

FedDeSnowNet: Federated De-snowing Network for LiDAR Point Clouds. - Zhiyu Fang; Boyang Li 009; Jiahui Liao; Siheng Ren; Kai Huang 001 (NPC (2), 2024)

EEG power spectra parameterization and adaptive channel selection towards semi-supervised seizure prediction. - Hanyi Li; Jiahui Liao; Hongxiao Wang; Chang'an A. Zhan; Feng Yang 012 (Comput. Biol. Medicine, 2024)

A Contextual Dependency-Aware Graph Convolutional Network for extracting entity relations. - Jiahui Liao; Yajun Du; Jinrong Hu; Hui Li; Xianyong Li; Xiaoliang Chen (Expert Syst. Appl., 2024)

Multi-animal 3D social pose estimation, identification and behaviour embedding with a few-shot learning framework. - Yaning Han; Ke Chen; Yunke Wang; Wenhao Liu; Zhouwei Wang; Xiaojing Wang; Chuanliang Han; Jiahui Liao; Kang Huang; Shengyuan Cai; Yiting Huang; Nan Wang; et al. (Nat. Mac. Intell., 2024)

Theory-Inspired Deep Multi-View Multi-Label Learning with Incomplete Views and Noisy Labels. - Quanjiang Li; Tingjin Luo; Jiahui Liao (CVPR, 2025)

MQVAE: Capturing Metastable Dynamics from EEG for Brain-computer Interfaces. - Yihang He; Chenfei Ye; Guoqing Cai; Jiahui Liao; Ting Ma (ICASSP, 2025)