Jintao Wen

According to our database, Jintao Wen authored at least 14 papers between 2021 and 2026.

Collaborative distances:

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

2026

How Robust are Large Language Models Against Word-Level Spurious Correlations? A Causal Discovery Approach.

Xin Miao, Yongqi Li, Hankun Kang, Mayi Xu, Jintao Wen, Yuyang Ren, Tieyun Qian

Mach. Learn., March, 2026

Reasoning based on symbolic and parametric knowledge bases: A survey.

Mayi Xu, Yunfeng Ning, Yongqi Li, Jianhao Chen, Jintao Wen, Yao Xiao, Shen Zhou, Birong Pan, Zepeng Bao, Xin Miao, Hankun Kang, Ke Sun, Tieyun Qian

Inf. Process. Manag., 2026

Tracing Belief-Driven Thoughts with Theory-of-Mind Agents: An Opinion Analysis Framework.

Jintao Wen, Yunfeng Ning, Hankun Kang, Xin Miao, Tieyun Qian

Proceedings of the ACM Web Conference 2026, 2026

ContiGuard: A Framework for Continual Toxicity Detection Against Evolving Evasive Perturbations.

Hankun Kang, Xin Miao, Jianhao Chen, Jintao Wen, Mayi Xu, Weiyu Zhang, Wenpeng Lu, Tieyun Qian

Proceedings of the ACM Web Conference 2026, 2026

Debiasing LLMs in Knowledge-Intensive Tasks via Information-Gain Guided Front-Door Adjustment.

Xin Miao, Yongqi Li, Hankun Kang, Mayi Xu, Jintao Wen, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian

Proceedings of the Database Systems for Advanced Applications, 2026

Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering.

Yunfeng Ning, Mayi Xu, Jintao Wen, Qiankun Pi, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SynTSE: A Syntax-Aware Generative Method for Topic-Stance Extraction.

Jintao Wen, Yongqi Li, Shen Zhou, Ming Zhong, Yuanyuan Zhu, Tieyun Qian

Proceedings of the Web and Big Data - 9th International Joint Conference, 2025

Aligning VLM Assistants with Personalized Situated Cognition.

Yongqi Li, Shen Zhou, Xiaohu Li, Xin Miao, Jintao Wen, Mayi Xu, Jianhao Chen, Birong Pan, Hankun Kang, Yuanyuan Zhu, Ming Zhong, Tieyun Qian

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

Dynamic interactive multiview memory network for emotion recognition in conversation.

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

Inf. Fusion, 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

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