I am currently a Ph.D. candidate at the University of Chinese Academy of Sciences and the Institute of Information Engineering, Chinese Academy of Sciences, under the supervision of Prof. Songlin Hu. My research interests include natural language processing and machine learning, with a recent focus on representation learning theory, sentiment analysis, and trustworthy large language models. I achieved first place in four tasks at the SemEval competitions and received the Best System Award at SemEval-2023 in Task 12.

Research Interests

  • Representation Learning for NLP
    • Learning theory & principle, generalization, robustness, transferability.
  • Sentiment Analysis
    • Sentiment classification, emotion recognition, dimensional emotion analysis.
  • Trustworthy Large Language Models
    • LLM-generated content moderation, LLM hallucination mitigation.

🔥 News

  • May 2024: 🎉 One paper is accepted to ACL 2024 main conference.
  • Feb 2024: 🎉 One paper is accepted to LREC-COLING 2024 main conference.
  • Dec 2023: 🎉 One paper is accepted to ICASSP 2024 main conference.
  • Dec 2023: 🎉 One paper is accepted to AAAI 2024 main conference (Oral).
  • Dec 2023: Invited to serve as an Area Chair for NAACL ARR 2024.
  • Jul 2023: 🎖 Received the Best System Award at SemEval 2023 in Task 12.
  • May 2023: 🎉🎉 One paper is accepted to ACL 2023 main conference.

đź“– Selected Publications

A growing list of conference and Journal publications papers at ACL/AAAI/EMNLP/TNNLS/TMM/etc. You can also browse my Google Scholar profile.

First-author Publications:

  • Representation Learning with Conditional Information Flow Maximization.
    Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu. ACL 2024 [Paper] [Code]

  • Structured Probabilistic Coding.
    Dou Hu, Lingwei Wei, Yaxin Liu, Wei Zhou, Songlin Hu. AAAI 2024 (Oral 2.2%) [Paper] [Code]

  • Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations.
    Dou Hu, Yinan Bao, Lingwei Wei, Wei Zhou, Songlin Hu. ACL 2023 [Paper] [Code]

  • UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis.
    Dou Hu, Lingwei Wei, Yaxin Liu, Wei Zhou, Songlin Hu. SemEval@ACL 2023 (Best System Award) [Paper] [Code]

  • VarMAE: Pre-training of Variational Masked Autoencoder for Domain-adaptive Language Understanding.
    Dou Hu, Xiaolong Hou, Xiyang Du, Mengyuan Zhou, Lianxin Jiang, Yang Mo, and Xiaofeng Shi. Findings of EMNLP 2022 [Paper]

  • MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations.
    Dou Hu, Xiaolong Hou, Lingwei Wei, Lianxin Jiang, Yang Mo. ICASSP 2022 [Paper] [Code]

  • DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations.
    Dou Hu, Lingwei Wei, Xiaoyong Huai. ACL-IJCNLP 2021 (Oral) [Paper] [Code]

  • A Rumor Detection Approach based on Multi-relational Propagation Tree (一种基于多关系传播树的谣言检测方法).
    Dou Hu, Lingwei Wei, Wei Zhou, Xiaoyong Huai, Jizhong Han, Songlin Hu. Journal of Computer Research and Development 2021 [Paper]

  • Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis.
    Lingwei Wei*, Dou Hu*, Wei Zhou, Xuehai Tang, Xiaodan Zhang, Xin Wang, Jizhong Han, Songlin Hu. ECML 2020 [Paper] [Code] (* Equal Contribution)

  • SLK-NER: exploiting second-order lexicon knowledge for Chinese NER.
    Dou Hu, Lingwei Wei. SEKE 2020 [Paper] [Code]

Co-author Publications:

  • Transferring Structure Knowledge: A New Task to Fake news Detection Towards Cold-Start Propagation.
    Lingwei Wei, Dou Hu, Wei Zhou, Songlin Hu. ICASSP 2024 [Paper]

  • Multi-stream Information Fusion Framework for Emotional Support Conversation.
    Yinan Bao, Dou Hu, Lingwei Wei, Shuchong Wei, Wei Zhou, Songlin Hu. LREC-COLING 2024

  • Modeling the Uncertainty of Information Propagation for Rumor Detection: A Neuro-Fuzzy Approach.
    Lingwei Wei, Dou Hu, Wei Zhou, Xin Wang, Songlin Hu. TNNLS 2024 [Paper]

  • Modeling Both Intra-and Inter-Modality Uncertainty for Multimodal Fake News Detection.
    Lingwei Wei, Dou Hu, Wei Zhou, Songlin Hu. TMM 2023 [Paper]

  • PALI-NLP at SemEval-2022 Task 6: iSarcasmEval- Fine-tuning the Pre-trained Model for Detecting Intended Sarcasm.
    Xiyang Du, Dou Hu, Meizhi Jin, Lianxin Jiang, Xiaofeng Shi. SemEval@NAACL 2022 [Paper]

  • PALI at SemEval-2022 Task 7: Identifying Plausible Clarifications of Implicit and Underspecified Phrases in Instructional Texts.
    Mengyuan Zhou, Dou Hu, Mengfei Yuan, Meizhi Jin, Xiyang Du, Lianxin Jiang, Yang Mo, Xiaofeng Shi. SemEval@NAACL 2022 [Paper]

  • Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection.
    Lingwei Wei, Dou Hu, Wei Zhou, Zhaojuan Yue, Songlin Hu. ACL-IJCNLP 2021 (Oral) [Paper]

🎖 Awards

  • Merit Student of UCAS, 2024. (Top 2.7%)
  • Best System Award at SemEval 2023 in Task 12. (Team Leader)
  • First Prize, Sentiment Analysis for African Languages Task, SemEval 2023. (1/213, Team Leader)
  • First Prize, Patronizing and Condescending Language Detection Task, SemEval 2022. (1/300, Team Leader)
  • First Prize, Intended Sarcasm Detection Task, SemEval 2022.
  • First Prize, Multimedia Automatic Misogyny Identification Task, SemEval 2022.

đź’¬ Invited Talks

  • Feb 2024, Invited talk “Structured Probabilistic Coding” at AAAI-2024.
  • Jan 2024, Invited talk “Structured Probabilistic Coding” at CIPS.
  • Jan 2024, Invited talk “Structured Probabilistic Coding” at AI TIME.
  • Sep 2023, Invited talk “Supervised Adversarial Contrastive Learning” at AI TIME.

đź“ť Academic Services

  • Area Chair: NAACL ARR 2024
  • Journal Reviewer: TCSVT, EAAI
  • Conference Reviewer: ICLR 2025, NeurIPS 2024, ACL 2023/2024, EMNLP 2023/2024, KDD 2025, etc.