Dr. Yan Zhuang serves as a Postdoctoral Fellow in the Machine Intelligence and Nature-Inspired Computing Lab (MIND Lab), Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University (PolyU), Hong Kong SAR, China, advised by Prof. Xingyu Wu and and Prof. Kay Chen Tan. Before joining PolyU, he received his Ph.D. in Computer Science and Technology from University of Electronic Science and Technology of China (UESTC), advised by Prof. Fuji Ren. He received his M.S. in Computer Technology from UESTC, under the supervision of Prof. Yanru Zhang, and his B.S. in Information and Computing Science from Anhui Science and Technology University.
庄岩博士现任香港理工大学 (PolyU)，数据科学及人工智能学系，MIND Lab博士后研究员，合作导师为吴兴宇教授和陈家进（Kay Chen Tan）教授 (IEEE Fellow)。 在加入香港理工大学之前，他于 电子科技大学（UESTC）获得计算机科学与技术博士学位，师从任福继教授（日本工程会院士/AAIA Fellow/CAAI Fellow/中国人工智能学会荣誉副理事长/教育部“长江学者奖励计划”讲座教授/电子科技大学（深圳）高等研究院首席科学家）；于电子科技大学获得计算机技术硕士学位，师从张彦如教授（国家级高层次青年人才）；本科毕业于 安徽科技工程大学 信息与计算科学专业。
Recent News
Recent research updates, publications, awards, and professional activities.
- Aug 2026 · 🎉 MAPS has been accepted to EMNLP Main 2026.
- Aug 2026 · 🎉 MF-CC has been accepted to Computers & Security.
- May 2026 · 🎉 ReNoRD has been accepted to ICMR 2026.
- Apr. 2026 · 🎉 DEJA has been accepted to ACL Main 2026.
- Mar. 2026 · 🎉 DHM has been accepted by Neurocomputing.
- Jan. 2026 · 🎉 TMDC has been accepted to AAAI 2026.
- Sep. 2025 · 🎉 HME has been accepted to NeurIPS 2025.
- Jul. 2025 · 🎉 CMAD has been accepted to ICCV 2025.
Featured Publications
(*denotes joint first-authors. Representative publications on Multimodal Representation Learning, Robust Multimodal Intelligence, and LLM Applications. Full publication list is available on Google Scholar.)
Beyond Explicit Refusals: Soft-Failure Attacks on Retrieval-Augmented Generation
TMDC: A Two-Stage Modality Denoising and Complementation Framework for Multimodal Sentiment Analysis with Missing and Noisy Modalities
Hyper-Modality Enhancement for Multimodal Sentiment Analysis with Missing Modalities
CMAD: Correlation-Aware and Modalities-Aware Distillation for Multimodal Sentiment Analysis with Missing Modalities
Intra-sample and Intra-modal Enhancement for Multimodal Sentiment Analysis with Missing Modalities
- EMNLP Main 2026 Seeing is Believing: Benchmarking and Mitigating the Interference of Language Priors on Visual Perception in MLLMs. Li Ma, Yan Zhuang, Jiawen Deng, Fuji Ren.
- Computers & Security 2026 MC-FF: A Multi-Community Feature Fusion Framework for Social Bot Detection. Wei Li, Jiawen Deng, Jiali You, Yuanyuan He, Yan Zhuang, Fuji Ren.
- ICMR 2026 ReNoRD: Learning from Relations under Noisy Pseudo Labels via Relational Distillation for Multimodal Sentiment. Tiantai Zhai, Yan Zhuang, Fuji Ren, Jiawen Deng, Liang Luo.
- Neurocomputing 2026 Decoupled Hypergraph Modeling for Multimodal Sentiment Analysis. Yanping Huang, Jiawen Deng, Yan Zhuang, Jiali You, Qian Liu, Fuji Ren.
- ACM MM 2025 Grand Challenge FAME: Fusion-Aware Multi-modal Ensemble for Social Media Popularity Prediction. Yan Zhuang, Wei Bai, Yanru Zhang, Minhao Liu, Jiawen Deng, Fuji Ren.
- IEEE TAFFC 2025 Enhanced Emotion Recognition in Conversations through Hybrid Context Encoding and Latent Dependency Mining. Zheng Hu, Jiawen Deng, Satoshi Nakagawa, Yan Zhuang, Xiaoyue Zhang, Shimin Cai, Fuji Ren.
- IEEE TMM 2025 Multi-Level Contrastive Learning for Multimodal Sentiment Analysis. Yan Zhuang, Wei Bai, Yanru Zhang, Jiawen Deng, Zheng Hu, Xiaoyue Zhang, Fuji Ren.
- Research 2025 R3DG: Retrieve, Rank and Reconstruction with Different Granularities for Multimodal Sentiment Analysis. Yan Zhuang, Yanru Zhang, Jiawen Deng, Fuji Ren.
- WWW 2025 ETS-MM: A Multi-Modal Social Bot Detection Model Based on Enhanced Textual Semantic Representation. Wei Li, Jiawen Deng, Jiali You, Yuanyuan He, Yan Zhuang, Fuji Ren.
- ACM MM 2024 GLoMo: Global-local modal fusion for multimodal sentiment analysis. Yan Zhuang, Yanru Zhang, Zheng Hu, Xiaoyue Zhang, Jiawen Deng, Fuji Ren.
- IEEE TKDE 2024 Hierarchical denoising for robust social recommendation. Zheng Hu, Satoshi Nakagawa, Yan Zhuang, Jiawen Deng, Shimin Cai, Tao Zhou, Fuji Ren.
Professional Experience
His research experience spans both academia and industry, with a primary focus on multimodal intelligence, large language and multimodal models, real-world and self-evolving AI systems.
Sep. 2026 – Present: Postdoctoral Fellow in The Hong Kong Polytechnic University (PolyU)
Conducting research on self-evolving LLMs, intelligent agents, and the integration of evolutionary strategies with LLMs, with a focus on developing adaptive and continuously improving intelligent systems.
Jan. 2026 – Sep. 2026: Research Engineer in Tencent
Conducted research on reinforcement learning for multimodal mathematical reasoning.
Jan. 2022 – Jun. 2022: Research Intern in NetEase FUXI Laboratory
Conducted research on large language model pre-training and efficient language representation learning.
Education
- Sep. 2022 – Jun. 2026: Ph.D. in Computer Science and Technology
University of Electronic Science and Technology of China (UESTC), Advisor: Prof. Fuji Ren - Sep. 2019 – Jun. 2022: M.S. in Computer Technology
University of Electronic Science and Technology of China (UESTC), Advisor: Prof. Yanru Zhang - Sep. 2015 – Jun. 2019: B.S. in Information and Computing Science
Anhui Science and Technology University
Honors and Awards
Academic Honors
- UESTC Outstanding Graduate, 2026
- UESTC Academic Newcomer Award, 2026
- National Scholarship (Ph.D.), 2025
- National Scholarship (B.S.), 2017
Competition Awards
- Best Performance Award, ACM Multimedia 2025 Social Media Prediction Challenge (Image Track), 2025
- Silver Award, China International College Students’ “Internet+” Innovation and Entrepreneurship Competition, 2021
- Second Prize, China Postgraduate Mathematical Contest in Modeling (Huawei Cup), 2020
Professional Activities
Journal Reviewing
- IEEE Transactions on Multimedia (TMM 2025-2026)
- IEEE Transactions on Affective Computing (TAFFC 2026)
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT 2026)
- Transactions on Machine Learning Research (TMLR 2026)
- Knowledge-Based Systems (KBS 2026)
- IEEE Transactions on Vehicular Technology (TVT 2023-2024)
Conference Reviewing
- AAAI 2027
- NeurIPS 2026
- ICML 2026 (Gold Reviewer Award, Top 25%)
- CVPR 2026