TransN: Heterogeneous Network Representation Learning by Translating Node Embeddings. - Zijian Li 002; Wenhao Zheng 001; Xueling Lin; Ziyuan Zhao; Zhe Wang 019; Yue Wang 012; Xun Jian 001; Lei Chen 002; Qiang Yan; Tiezheng Mao (ICDE, 2020)

Matching Intentions for Discourse Parsing in Multi-party Dialogues. - Tiezheng Mao; Jialing Fu; Osamu Yoshie; Yimin Fu; Zhuyun Li (IEA/AIE (2), 2023)

GMM: Delving into Gradient Aware and Model Perceive Depth Mining for Monocular 3D Detection. - Weixin Mao; Jinrong Yang; Zheng Ge; Lin Song 002; Hongyu Zhou; Tiezheng Mao; Zeming Li; Osamu Yoshie (CoRR, 2023)

Seeing both sides: context-aware heterogeneous graph matching networks for extracting-related arguments. - Tiezheng Mao; Osamu Yoshie; Jialing Fu; Weixin Mao (Neural Comput. Appl., 2024)

Hierarchical graph fusion network and a new argumentative dataset for multiparty dialogue discourse parsing. - Tiezheng Mao; Tianyong Hao; Jialing Fu; Osamu Yoshie (Inf. Process. Manag., 2024)