Boosting Hidden Graph Node Classification for Large Social Networks. - Hanxuan Yang 002; Qingchao Kong; Wenji Mao; Lei Wang 062 (ISI, 2021)

A Deep Latent Space Model for Graph Representation Learning. - Hanxuan Yang 002; Qingchao Kong; Wenji Mao (CoRR, 2021)

Spiking Variational Graph Auto-Encoders for Efficient Graph Representation Learning. - Hanxuan Yang 002; Ruike Zhang; Qingchao Kong; Wenji Mao (CoRR, 2022)

Target-Oriented Relation Alignment for Cross-Lingual Stance Detection. - Ruike Zhang; Nan Xu; Hanxuan Yang 002; Yuan Tian; Wenji Mao (ACL (Findings), 2023)

Cross-Lingual Cross-Target Stance Detection with Dual Knowledge Distillation Framework. - Ruike Zhang; Hanxuan Yang 002; Wenji Mao (EMNLP, 2023)

Isomorphic-Consistent Variational Graph Auto-Encoders for Multi-Level Graph Representation Learning. - Hanxuan Yang 002; Qingchao Kong; Wenji Mao (CoRR, 2023)

YAYI 2: Multilingual Open-Source Large Language Models. - Yin Luo; Qingchao Kong; Nan Xu; Jia Cao; Bao Hao; Baoyu Qu; Bo Chen; Chao Zhu; Chenyang Zhao; Donglei Zhang; Fan Feng; Feifei Zhao; et al. (CoRR, 2023)

YAYI-UIE: A Chat-Enhanced Instruction Tuning Framework for Universal Information Extraction. - Xinglin Xiao; Yijie Wang; Nan Xu; Yuqi Wang; Hanxuan Yang 002; Minzheng Wang 001; Yin Luo; Lei Wang 062; Wenji Mao; Daniel Zeng 001 (CoRR, 2023)

Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification. - Hanxuan Yang 002; Zhaoxin Yu; Qingchao Kong; Wei Liu; Wenji Mao (CoRR, 2024)

Efficient Spiking Variational Graph Autoencoders for Unsupervised Graph Representation Learning Tasks. - Hanxuan Yang 002; Qingchao Kong; Ruike Zhang; Wenji Mao (IEEE Intell. Syst., 2024)

A deep latent space model for interpretable representation learning on directed graphs. - Hanxuan Yang 002; Qingchao Kong; Wenji Mao (Neurocomputing, 2024)