Multi-view Hierarchical Graph Neural Network for Argumentation Mining. - Sun, Yang; Bao, Jianzhu; Tu, Geng; Liang, Bin; Yang, Min; Xu, Ruifeng (Cogn. Comput., 2025)

Knowing What and Why: Causal emotion entailment for emotion recognition in conversations. - Liu, Hao; Wei, Runguo; Tu, Geng; Lin, Jiali; Jiang, Dazhi; Cambria, Erik (Expert Syst. Appl., 2025)

AdaCLF: An Adaptive Curriculum Learning Framework for Emotional Support Conversation. - Tu, Geng; Niu, Taiyu; Xu, Ruifeng; Liang, Bin; Cambria, Erik (IEEE Intell. Syst., 2024)

Self-supervised utterance order prediction for emotion recognition in conversations. - Jiang, Dazhi; Liu, Hao; Tu, Geng; Wei, Runguo; Cambria, Erik (Neurocomputing, 2024)

Sarcasm driven by sentiment: A sentiment-aware hierarchical fusion network for multimodal sarcasm detection. - Liu, Hao; Wei, Runguo; Tu, Geng; Lin, Jiali; Liu, Cheng; Jiang, Dazhi (Inf. Fusion, 2024)

Multi-Modal Attentive Prompt Learning for Few-shot Emotion Recognition in Conversations. - Liang, Xingwei; Tu, Geng; Du, Jiachen; Xu, Ruifeng (J. Artif. Intell. Res., 2024)

What do they "meme"? A metaphor-aware multi-modal multi-task framework for fine-grained meme understanding. - Wang, Bingbing; Huang, Shijue; Liang, Bin; Tu, Geng; Yang, Min; Xu, Ruifeng (Knowl. Based Syst., 2024)

Adaptive Graph Learning for Multimodal Conversational Emotion Detection. - Tu, Geng; Xie, Tian; Liang, Bin; Wang, Hongpeng; Xu, Ruifeng (2024)

Multiple Knowledge-Enhanced Interactive Graph Network for Multimodal Conversational Emotion Recognition. - Tu, Geng; Wang, Jun; Li, Zhenyu; Chen, Shiwei; Liang, Bin; Zeng, Xi; Yang, Min; Xu, Ruifeng (2024)

SDIF-DA: A Shallow-to-Deep Interaction Framework with Data Augmentation for Multi-Modal Intent Detection. - Huang, Shijue; Qin, Libo; Wang, Bingbing; Tu, Geng; Xu, Ruifeng (2024)

Multimodal Emotion Recognition Calibration in Conversations. - Tu, Geng; Xiong, Feng; Liang, Bin; Wang, Hui; Zeng, Xi; Xu, Ruifeng (2024)

A Persona-Infused Cross-Task Graph Network for Multimodal Emotion Recognition with Emotion Shift Detection in Conversations. - Tu, Geng; Xiong, Feng; Liang, Bin; Xu, Ruifeng (2024)

HITSZ-HLT at WASSA-2024 Shared Task 2: Language-agnostic Multi-task Learning for Explainability of Cross-lingual Emotion Detection. - Xiong, Feng; Wang, Jun; Tu, Geng; Xu, Ruifeng (2024)

SDIF-DA: A Shallow-to-Deep Interaction Framework with Data Augmentation for Multi-modal Intent Detection. - Huang, Shijue; Qin, Libo; Wang, Bingbing; Tu, Geng; Xu, Ruifeng (CoRR, 2024)

CSAT-FTCN: A Fuzzy-Oriented Model with Contextual Self-attention Network for Multimodal Emotion Recognition. - Jiang, Dazhi; Liu, Hao; Wei, Runguo; Tu, Geng (Cogn. Comput., 2023)

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

Window transformer for dialogue document: a joint framework for causal emotion entailment. - Jiang, Dazhi; Liu, Hao; Tu, Geng; Wei, Runguo (Int. J. Mach. Learn. Cybern., 2023)

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

Sentiment- Emotion- and Context-Guided Knowledge Selection Framework for Emotion Recognition in Conversations. - Tu, Geng; Liang, Bin; Jiang, Dazhi; Xu, Ruifeng (IEEE Trans. Affect. Comput., 2023)

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

Probing Graph Decomposition for Argument Pair Extraction. - Sun, Yang; Liang, Bin; Bao, Jianzhu; Zhang, Yice; Tu, Geng; Yang, Min; Xu, Ruifeng (2023)

Context or Knowledge is Not Always Necessary: A Contrastive Learning Framework for Emotion Recognition in Conversations. - Tu, Geng; Liang, Bin; Mao, Ruibin; Yang, Min; Xu, Ruifeng (2023)

Do Topic and Causal Consistency Affect Emotion Cognition? A Graph Interactive Network for Conversational Emotion Detection. - Tu, Geng; Liang, Bin; Lyu, Xiucheng; Gui, Lin; Xu, Ruifeng (2023)

An Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations. - Tu, Geng; Liang, Bin; Qin, Bing; Wong, Kam-Fai; Xu, Ruifeng (2023)

A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection. - Tu, Geng; Jing, Ran; Liang, Bin; Yang, Min; Wong, Kam-Fai; Xu, Ruifeng (2023)

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

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

Developing Relationships: A Heterogeneous Graph Network with Learnable Edge Representation for Emotion Identification in Conversations. - Li, Zhenyu; Tu, Geng; Liang, Xingwei; Xu, Ruifeng (2022)

Multimodality Sentiment Analysis in Social Internet of Things Based on Hierarchical Attentions and CSAT-TCN With MBM Network. - Xiao, Guorong; Tu, Geng; Zheng, Lin; Zhou, Teng; Li, Xin; Ahmed, Syed Hassan; Jiang, Dazhi (IEEE Internet Things J., 2021)

A hybrid intelligent model for acute hypotensive episode prediction with large-scale data. - Jiang, Dazhi; Tu, Geng; Jin, Donghui; Wu, Kaichao; Liu, Cheng; Zheng, Lin; Zhou, Teng (Inf. Sci., 2021)

A framework for designing of genetic operators automatically based on gene expression programming and differential evolution. - Jiang, Dazhi; Tian, Zhihang; He, Zhihui; Tu, Geng; Huang, Ruixiang (Nat. Comput., 2021)

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

Real-time hand gestures system based on leap motion. - Jia, Jing; Tu, Geng; Deng, Xin; Zhao, Chuchu; Yi, Wenlong (Concurr. Comput. Pract. Exp., 2019)

Dynamic Gesture Recognition Based on HMM-DTW Model Using Leap Motion. - Tu, Geng; Li, Qingyuan; Jiang, Dazhi (2019)