A Multitask Learning Framework for Multimodal Sentiment Analysis. - Dazhi Jiang; Runguo Wei; Hao Liu; Jintao Wen; Geng Tu; Lin Zheng 003; Erik Cambria (ICDM (Workshops), 2021)

Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models. - Geng Tu; Jintao Wen; Hao Liu 080; Sentao Chen; Lin Zheng 003; Dazhi Jiang (Knowl. Based Syst., 2022)

Context- and Sentiment-Aware Networks for Emotion Recognition in Conversation. - Geng Tu; Jintao Wen; Cheng Liu 001; Dazhi Jiang; Erik Cambria (IEEE Trans. Artif. Intell., 2022)

Dynamic interactive multiview memory network for emotion recognition in conversation. - Jintao Wen; Dazhi Jiang; Geng Tu; Cheng Liu 001; Erik Cambria (Inf. Fusion, 2023)

Learning More from Mixed Emotions: A Label Refinement Method for Emotion Recognition in Conversations. - Jintao Wen; Geng Tu; Rui Li; Dazhi Jiang; Wenhua Zhu (Trans. Assoc. Comput. Linguistics, 2023)

AutoML-Emo: Automatic Knowledge Selection Using Congruent Effect for Emotion Identification in Conversations. - Dazhi Jiang; Runguo Wei; Jintao Wen; Geng Tu; Erik Cambria (IEEE Trans. Affect. Comput., 2023)

Aligning VLM Assistants with Personalized Situated Cognition. - Yongqi Li 002; Shen Zhou; Xiaohu Li; Xin Miao; Jintao Wen; Mayi Xu; Jianhao Chen; Birong Pan; Hankun Kang; Yuanyuan Zhu 001; Ming Zhong 002; Tieyun Qian (ACL (1), 2025)