Geng Tu

According to our database, Geng Tu authored at least 31 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

What do they "meme"? A metaphor-aware multi-modal multi-task framework for fine-grained meme understanding.

Bingbing Wang, Shijue Huang, Bin Liang, Geng Tu, Min Yang, Ruifeng Xu

Knowl. Based Syst., 2024

Multi-Modal Attentive Prompt Learning for Few-shot Emotion Recognition in Conversations.

Xingwei Liang, Geng Tu, Jiachen Du, Ruifeng Xu

J. Artif. Intell. Res., 2024

Sarcasm driven by sentiment: A sentiment-aware hierarchical fusion network for multimodal sarcasm detection.

Hao Liu, Runguo Wei, Geng Tu, Jiali Lin, Cheng Liu, Dazhi Jiang

Inf. Fusion, 2024

Self-supervised utterance order prediction for emotion recognition in conversations.

Dazhi Jiang, Hao Liu, Geng Tu, Runguo Wei, Erik Cambria

Neurocomputing, 2024

AdaCLF: An Adaptive Curriculum Learning Framework for Emotional Support Conversation.

Geng Tu, Taiyu Niu, Ruifeng Xu, Bin Liang, Erik Cambria

IEEE Intell. Syst., 2024

HITSZ-HLT at WASSA-2024 Shared Task 2: Language-agnostic Multi-task Learning for Explainability of Cross-lingual Emotion Detection.

Feng Xiong, Jun Wang, Geng Tu, Ruifeng Xu

Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, 2024

A Persona-Infused Cross-Task Graph Network for Multimodal Emotion Recognition with Emotion Shift Detection in Conversations.

Geng Tu, Feng Xiong, Bin Liang, Ruifeng Xu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Multimodal Emotion Recognition Calibration in Conversations.

Geng Tu, Feng Xiong, Bin Liang, Hui Wang, Xi Zeng, Ruifeng Xu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

SDIF-DA: A Shallow-to-Deep Interaction Framework with Data Augmentation for Multi-Modal Intent Detection.

Shijue Huang, Libo Qin, Bingbing Wang, Geng Tu, Ruifeng Xu

Proceedings of the IEEE International Conference on Acoustics, 2024

Multiple Knowledge-Enhanced Interactive Graph Network for Multimodal Conversational Emotion Recognition.

Geng Tu, Jun Wang, Zhenyu Li, Shiwei Chen, Bin Liang, Xi Zeng, Min Yang, Ruifeng Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Adaptive Graph Learning for Multimodal Conversational Emotion Detection.

Geng Tu, Tian Xie, Bin Liang, Hongpeng Wang, Ruifeng Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Sentiment- Emotion- and Context-Guided Knowledge Selection Framework for Emotion Recognition in Conversations.

Geng Tu, Bin Liang, Dazhi Jiang, Ruifeng Xu

IEEE Trans. Affect. Comput., 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

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

Window transformer for dialogue document: a joint framework for causal emotion entailment.

Dazhi Jiang, Hao Liu, Geng Tu, Runguo Wei

Int. J. Mach. Learn. Cybern., 2023

Dynamic interactive multiview memory network for emotion recognition in conversation.

Jintao Wen, Dazhi Jiang, Geng Tu, Cheng Liu, Erik Cambria

Inf. Fusion, 2023

CSAT-FTCN: A Fuzzy-Oriented Model with Contextual Self-attention Network for Multimodal Emotion Recognition.

Dazhi Jiang, Hao Liu, Runguo Wei, Geng Tu

Cogn. Comput., 2023

An Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations.

Geng Tu, Bin Liang, Bing Qin, Kam-Fai Wong, Ruifeng Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection.

Geng Tu, Ran Jing, Bin Liang, Min Yang, Kam-Fai Wong, Ruifeng Xu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Do Topic and Causal Consistency Affect Emotion Cognition? A Graph Interactive Network for Conversational Emotion Detection.

Geng Tu, Bin Liang, Xiucheng Lyu, Lin Gui, Ruifeng Xu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Context or Knowledge is Not Always Necessary: A Contrastive Learning Framework for Emotion Recognition in Conversations.

Geng Tu, Bin Liang, Ruibin Mao, Min Yang, Ruifeng Xu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Probing Graph Decomposition for Argument Pair Extraction.

Yang Sun, Bin Liang, Jianzhu Bao, Yice Zhang, Geng Tu, Min Yang, Ruifeng Xu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Context- and Sentiment-Aware Networks for Emotion Recognition in Conversation.

Geng Tu, Jintao Wen, Cheng Liu, Dazhi Jiang, Erik Cambria

IEEE Trans. Artif. Intell., 2022

Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models.

Geng Tu, Jintao Wen, Hao Liu, Sentao Chen, Lin Zheng, Dazhi Jiang

Knowl. Based Syst., 2022

Developing Relationships: A Heterogeneous Graph Network with Learnable Edge Representation for Emotion Identification in Conversations.

Zhenyu Li, Geng Tu, Xingwei Liang, Ruifeng Xu

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

A framework for designing of genetic operators automatically based on gene expression programming and differential evolution.

Dazhi Jiang, Zhihang Tian, Zhihui He, Geng Tu, Ruixiang Huang

Nat. Comput., 2021

A hybrid intelligent model for acute hypotensive episode prediction with large-scale data.

Dazhi Jiang, Geng Tu, Donghui Jin, Kaichao Wu, Cheng Liu, Lin Zheng, Teng Zhou

Inf. Sci., 2021

Multimodality Sentiment Analysis in Social Internet of Things Based on Hierarchical Attentions and CSAT-TCN With MBM Network.

Guorong Xiao, Geng Tu, Lin Zheng, Teng Zhou, Xin Li, Syed Hassan Ahmed, Dazhi Jiang

IEEE Internet Things J., 2021

A Multitask Learning Framework for Multimodal Sentiment Analysis.

Dazhi Jiang, Runguo Wei, Hao Liu, Jintao Wen, Geng Tu, Lin Zheng, Erik Cambria

Proceedings of the 2021 International Conference on Data Mining, 2021

2019

Real-time hand gestures system based on leap motion.

Jing Jia, Geng Tu, Xin Deng, Chuchu Zhao, Wenlong Yi

Concurr. Comput. Pract. Exp., 2019

Dynamic Gesture Recognition Based on HMM-DTW Model Using Leap Motion.

Geng Tu, Qingyuan Li, Dazhi Jiang

Proceedings of the Artificial Intelligence Algorithms and Applications, 2019