I am Dou Hu, an Assistant Professor at Communication University of China (CUC). Before that, I obtained my Ph.D. degree from the University of Chinese Academy of Sciences (UCAS) and the Institute of Information Engineering, Chinese Academy of Sciences (IIE CAS) in 2025, under the supervision of Prof. Songlin Hu.

My research interests include natural language processing and machine learning. My research goal is to develop more intelligent, efficient, and trustworthy AI systems for language understanding and generation. To achieve this, I am currently focused on general representation learning to enhance language models’ generalization, robustness, trustworthiness, and safety, particularly in representation learning theory and trustworthy large language models.

Concat: hudou [AT] cuc.edu.cn

Research Interests

Machine Learning for NLP
- Information-theoretic Representation Learning
- Probabilistic Methods & Causal Reasoning
- Generalization & Robustness of Language Models
- Representation Learning for Trustworthy LLMs
NLP Applications: Social Media Analysis and AI Safety
- Sentiment & Emotion Analysis
- Content Moderation & Safety of LLMs

🔥 News

Oct. 2025: 🎖 I was selected for the CIPS Doctoral Dissertation Incentive Program.
Aug. 2025: 🎉 One paper is accepted at EMNLP 2025. Congrats to Haonan Sheng!
Jun. 2025: 🎖 I received the CAS Presidential Scholarship - Special Prize.
May. 2025: 🎉🎉 Two papers are accepted at ACL 2025.
Dec. 2024: 🎉 One paper is accepted at AAAI 2025.
May. 2024: 🎉 One paper is accepted at ACL 2024.
Feb. 2024: 🎉 One paper is accepted at LREC-COLING 2024. Congrats to Yinan Bao!
Dec. 2023: 🎉 One paper is accepted at ICASSP 2024. Congrats to Lingwei Wei!
Dec. 2023: 🎉 One paper is accepted at AAAI 2024 (Oral).
Jul. 2023: 🏆 I received the Best System Award at Afrisenti-SemEval 2023.
May. 2023: 🎉🎉 Two papers are accepted at ACL 2023.
Mar. 2023: 🏆 We won 1st Place in SemEval 2023 Task 12.

📖 Selected Publications (Full List)

(# represents corresponding author)

Regularized Contrastive Decoding with Hard Negative Samples for LLM Hallucination Mitigation.
Haonan Sheng, Dou Hu#, Lingwei Wei#, Wei Zhou, Songlin Hu. Findings of EMNLP 2025. (CCF-B Findings)
Impartial Multi-task Representation Learning via Variance-invariant Probabilistic Decoding.
Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu. ACL 2025. (CCF-A)
[Paper]
An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding.
Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu. AAAI 2025. (CCF-A)
[Paper]
Structure-adaptive Adversarial Contrastive Learning for Multi-Domain Fake News Detection.
Lingwei Wei, Dou Hu#, Wei Zhou, Philip S. Yu, Songlin Hu#. Findings of ACL 2025. (CCF-A Findings) [Paper]
Representation Learning with Conditional Information Flow Maximization.
Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu. ACL 2024. (CCF-A)
[Paper] [Code]
Structured Probabilistic Coding.
Dou Hu, Lingwei Wei, Yaxin Liu, Wei Zhou, Songlin Hu. AAAI 2024. (CCF-A, Oral)
[Paper] [Code]
Multi-stream Information Fusion Framework for Emotional Support Conversation.
Yinan Bao, Dou Hu, Lingwei Wei, Shuchong Wei, Wei Zhou, Songlin Hu. LREC-COLING 2024. (CCF-B)
[Paper]
Transferring Structure Knowledge: A New Task to Fake News Detection Towards Cold-Start Propagation.
Lingwei Wei, Dou Hu, Wei Zhou, Songlin Hu. ICASSP 2024. (CCF-B)
[Paper]
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. (CCF-B, SCI-Q1)
[Paper]
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations.
Dou Hu, Yinan Bao, Lingwei Wei, Wei Zhou, Songlin Hu. ACL 2023. (CCF-A)
[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. (1st Place, Best System Award)
[Paper] [Code]
Modeling Both Intra-and Inter-Modality Uncertainty for Multimodal Fake News Detection.
Lingwei Wei, Dou Hu, Wei Zhou, Songlin Hu. TMM 2023. (CCF-B, SCI-Q1)
[Paper]
MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations.
Dou Hu, Xiaolong Hou, Lingwei Wei, Lianxin Jiang, Yang Mo. ICASSP 2022. (CCF-B)
[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. (CCF-B Findings)
[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. (1st Place)
[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. (1st Place)
[Paper]
PAIC at SemEval-2022 Task 5: Multi-Modal Misogynous Detection in MEMES with Multi-Task Learning and Multi-model Fusion.
Meizhi Jin, Mengyuan Zhou, Mengfei Yuan, Dou Hu, Xiyang Du, Lianxin Jiang, Yang Mo, Xiaofeng Shi. SemEval@NAACL 2022. (2nd Place)
[Paper]
PALI-NLP at SemEval-2022 Task 4: Discriminative Fine-tuning of Transformers for Patronizing and Condescending Language Detection.
Dou Hu, Zhou Mengyuan, Xiyang Du, Mengfei Yuan, Jin Zhi, Lianxin Jiang, Mo Yang, Xiaofeng Shi. SemEval@NAACL 2022. (1st Place)
[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. (CCF-A, Oral)
[Paper]
DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations.
Dou Hu, Lingwei Wei, Xiaoyong Huai. ACL-IJCNLP 2021. (CCF-A, 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. (CCF-A Chinese)
[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-PKDD 2020. (CCF-B)
[Paper] [Code]
SLK-NER: exploiting second-order lexicon knowledge for Chinese NER.
Dou Hu, Lingwei Wei. SEKE 2020.
[Paper] [Code]

🎖 Honors and Awards

CIPS Doctoral Dissertation Incentive Program, CIPS, 2025
Beijing Outstanding Graduate, Beijing Municipal Commission of Education, 2025
CAS Presidential Scholarship - Special Prize, CAS, 2025
Best System Award, Afrisenti-SemEval 2023
1st Place, Sentiment Analysis for African Languages Task, SemEval 2023
1st Place, Patronizing and Condescending Language Detection Task, SemEval 2022
1st Place, Intended Sarcasm Detection Task, SemEval 2022
1st Place, Multimedia Automatic Misogyny Identification Task, SemEval 2022

💬 Invited Talks

May 2025, Invited talk, “Information-theoretic Representation Learning and Its Applications in the AI Safety”, IIE, CAS.
Apr. 2025, Invited talk, “Information-theoretic Representation Learning and Its Applications in the Media Field”, Communication University of China.
Dec. 2024, Invited talk, “Information-theoretic Representation learning on Natural Language Understanding”, Beijing Normal University.
Jan. 2024, Paper presentation, “Structured Probabilistic Coding”, Youth Working Committee, Chinese Information Processing Society of China (CIPS).

📝 Academic Services

Area Chair:
- ACL Rolling Review: ACL 2025, EMNLP 2025, EACL 2025
Conference Reviewer or Program Committee Member:
- ACL 2023/2024, EMNLP 2023/2024, NAACL 2024, NeurIPS 2024, ICLR 2025/2026, AAAI 2025/2026
Journal Reviewer:
- Engineering Applications of Artificial Intelligence (EAAI)
- IEEE Transactions on Multimedia (TMM)
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
- IEEE Transactions on Mobile Computing (TMC)