Originally from Kunming, Yunnan, China, I am currently a Research Fellow at the National University of Singapore, jointly supervised by Prof. Gianmarco Mengaldo and Prof. Erik Cambria, an IEEE Fellow. I received my Ph.D. in Computer Application Technology from East China Normal University in 2025 under the supervision of Prof. Liang He. During my doctoral studies, I spent one year as a CSC-sponsored visiting Ph.D. student at Nanyang Technological University under the supervision of Prof. Cambria. I am also a member of the Sentic Team.

My research interests include AI4Science, Affective Computing, Large Language Models, Multimodal Interaction, and Human-in-the-loop AI. My current work explores cognitive and aesthetic causality in multimodal sentiment analysis, socially intelligent AI, and multimodal AI for weather and climate.

I currently serve as an Associate Editor for IEEE Transactions on Affective Computing (IF 11.3, CCF-B, SCI Q1) and Pattern Recognition (IF 9.1, CCF-B, SCI Q1), and as an Early Career Editor for Information Fusion (IF 17.4, CAAI-A, SCI Q1).

For my complete and up-to-date publication list, please visit my Google Scholar profile .

Opportunities. We are looking for self-motivated master’s and doctoral students interested in remote research internships, in collaboration with researchers at the National University of Singapore (NUS), Nanyang Technological University (NTU), and East China Normal University (ECNU). I also welcome collaborations with students and researchers on cutting-edge topics in large language models, multimodal data processing, and related areas, and remain open to opportunities in both academia and industry. If our research interests align, please feel free to contact me at luwei@sentic.net.

🔥 News

• 2026.08: 🧭 Serving as an Area Chair for XAI4Science, a NeurIPS 2026 Workshop on interpretable foundation models for science.
• 2026.08: 🎉 Our work on metacognitive probing for defending customized LLM systems was published in IEEE TIFS.
• 2026.07: 🎉 One paper was accepted to ACM Multimedia 2026.
• 2026.06: 🚀 SenticNet 9 was published in IEEE TCSS.
• 2026.05: 🎉 Two papers were accepted to ICML 2026.
• 2026.05: 🌏 Presented ClimateFieldQA, a physics-aware vision–language benchmark for tropical-cyclone hazard fields, at EGU General Assembly 2026.
• 2026.02: 🎉 One paper was accepted by Pattern Recognition.
• 2026.01: 🎉 One paper was accepted by IEEE TAFFC.
• 2025.06: 🎓 Received my Ph.D. from East China Normal University and joined the National University of Singapore as a Research Fellow.
• 2022: 🏆 Our survey “A Survey of Human-in-the-Loop for Machine Learning” was selected as an Editor’s Choice Paper by Future Generation Computer Systems.

📚 Publications

2026

• OmniClimate-TC: Physics-Aware Visual Abstractions for Multimedia Reasoning over Tropical Cyclones. Luwei Xiao, Xin Wang, Keane Ong, Jiawen Wei, Chenyu Dong, Rui Mao, Erik Cambria, Gianmarco Mengaldo. ACM Multimedia, 2026.
• Protecting Your Customized LLM Systems From Backdoored Instructions With Metacognitive Probing. Shuai Zhao, Zhongliang Guo, Xinyi Wu, Xiaobao Wu, Yanhao Jia, Luwei Xiao, Anh Tuan Luu. IEEE Transactions on Information Forensics and Security, 2026.
• Profiling Cognitive Interaction and Epistemic Emotions in Generative Artificial Intelligence-Supported Learning: A Dual-Agent Analysis Based on Reflective Journals. Qinglin Zhang, Luwei Xiao, Xinyi Wu, G. Chen, Fengkuang Chiang. International Conference on Artificial Intelligence in Education (AIED), 2026.
• Caring Without Feeling: Affective Dynamics as the Control Layer of Human-AI Agent Collaboration. Junjie Xu, Xingjiao Wu, Zihao Zhang, Yujia Xu, Yuzhe Yang, Jin Zhu, Luwei Xiao, Wen Wu, Liang He. arXiv preprint, 2026.
• FATE-YOLO: Fourier-Taylor Convolution and Entropy-Gated Dual-Affinity for Brain Tumor Detection. Zhengnan Yin, Y. He, L. Li, Y. Che, Luwei Xiao. ICASSP, 2026.
• SenticNet 9: Generative Commonsense for Emotion AI via Conceptual Primitive Discovery and Time Shift Mechanism. Erik Cambria, Rui Mao, Xulang Zhang, Luwei Xiao, Tiesunlong Shen, Avinash Anand. IEEE Transactions on Computational Social Systems, 2026.
• ClimateFieldQA: Evaluating Vision–Language Models on Tropical Cyclone Hazard Fields with Physics-Aware Visual Abstractions. Luwei Xiao, Gianmarco Mengaldo. EGU General Assembly, 2026.
• Human-Centered Pathways to Trustworthy AI in Healthcare: A Comparative Analysis of Explainable AI, Human-in-the-Loop, Hybrid AI, and Uncertainty Quantification Techniques. A. Kohan, Junjie Xu, Luwei Xiao, Xingjiao Wu, A. Kukkar, S. Hussain, M. Roshanzamir, et al. Manuscript, 2026.
• AOSNet-Sec: Aperture–Orientation–Spectrum Fusion with Statistical Markov Repair for Trustworthy Super-Resolution. Zhengnan Yin, Luwei Xiao, Xuan Feng, Yiwei Chen, Xianxun Zhu, Cai Luo, Faten S. Alamri, Rui Mao, Erik Cambria. Pattern Recognition, 2026.
• A Survey of LLM Reasoning in Healthcare and Medicine: From Individual Modeling to Collaborative Agents. Qika Lin, Luwei Xiao, B. Pu, Kaize Shi, Y. Du, Junjie Xu, K. He, Shuai Zhao, Erik Cambria, S. Mishra, et al. TechRxiv, 2026.
• OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization. Keane Ong, Sabri Boughorbel, Luwei Xiao, Chanakya Ekbote, Wei Dai, Ao Qu, Jingyao Wu, Rui Mao, Ehsan Hoque, Erik Cambria, Gianmarco Mengaldo, Paul Pu Liang. ICML, 2026.
• Affective Flow Language Model for Emotional Support Conversation. Chenghui Zou, Ning Wang, Tiesunlong Shen, Luwei Xiao, Chuan Ma, Xiangpeng Li, Rui Mao, Erik Cambria. arXiv preprint, 2026.
• Towards Affective Evaluation of STEM Education: Leveraging MLLMs in Project-Based Learning. Xinyi Wu, Yanhao Jia, Qinglin Zhang, Yiran Qin, Luwei Xiao, Shuai Zhao. IEEE Transactions on Affective Computing, 2026.
• Backdoor Defense for Large Language Models with Weak-to-Strong Knowledge Distillation. Yuwen Li, Xinyi Wu, Zhongliang Guo, Luwei Xiao, Yanhao Jia, Shuai Zhao. Pattern Recognition, 2026.
• Self-Debias: Self-Correcting for Debiasing Large Language Models. Xuan Feng, Shuai Zhao, Luwei Xiao, Tianlong Gu, Bo An. ICML, 2026.
• A Practical Guide to Interpretability Metrics for Chain-of-Thought Reasoning. E. Andrews, Keane Ong, Luwei Xiao, L. Pesce, J. Wei, Gianmarco Mengaldo. Manuscript, 2026.

2025

• Large Language Models Have Chain-of-Affect. Junjie Xu, Xingjiao Wu, Luwei Xiao, Yuzhe Yang, Jie Zhou, Zihao Zhang, Luhan Wang, Yi Huang, Nan Wu, Yingbin Zheng, Chao Yan, Cheng Jin, Honglin Li, Liang He. arXiv preprint, 2025.
• Syntactic Paraphrase-Based Synthetic Data Generation for Backdoor Attacks Against Chinese Language Models. Man Hu, Yatao Yang, Deng Pan, Zhongliang Guo, Luwei Xiao, Deyu Lin, Shuai Zhao. Information Fusion, 2025.
• MATADOR: Multimodal Traffic Accident Prediction Enhanced by Multi-Source Aggregated Emotion Recognition. Sainan Zhang, Rui Mao, Jun Zhang, Luwei Xiao, Erik Cambria. Information Fusion, 2025.
• Affective-ROPTester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity. Shuai Zhao, Yulin Zhang, Luwei Xiao, Xinyi Wu, Yanhao Jia, Zhongliang Guo, Xiaobao Wu, Cong-Duy Nguyen, Guoming Zhang, Anh Tuan Luu. IEEE Transactions on Affective Computing, 2025.
• Fine-Grained Sentiment Analysis Through Aesthetic Caption Fusion and Semantic Filtering. S. Zhou, Luwei Xiao, X. Li, J. Bei, P. Chang. International Workshop on Multimedia Content Generation and Evaluation, 2025.
• From Query to Explanation: Uni-RAG for Multi-Modal Retrieval-Augmented Learning in STEM. Xinyi Wu, Yanhao Jia, Luwei Xiao, Shuai Zhao, Fengkuang Chiang, Erik Cambria. arXiv preprint, 2025.
• FLIP: Adaptive Comparison Method Selection for Efficient Preference-Based Reinforcement Learning. Ziang Liu, Xingjiao Wu, Hongxin Chen, Luwei Xiao, Jing Yang. IJCNN, 2025.
• Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation. Yichao Feng, Shuai Zhao, Yueqiu Li, Luwei Xiao, Xiaobao Wu, Anh Tuan Luu. IJCNN, 2025.
• Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis. Luwei Xiao, Rui Mao, Shuai Zhao, Qika Lin, Yanhao Jia, Liang He, Erik Cambria. IEEE Transactions on Affective Computing, 2025.
• Bidirectional Directed Acyclic Graph Neural Network for Aspect-Level Sentiment Classification. Junjie Xu, Luwei Xiao, Anran Wu, Tianlong Ma, Daoguo Dong, Liang He. ACM Transactions on Asian and Low-Resource Language Information Processing, 2025.
• Clean-Label Backdoor Attack and Defense: An Examination of Language Model Vulnerability. Shuai Zhao, Xiaoyu Xu, Luwei Xiao, Jinming Wen, Anh Tuan Luu. Expert Systems with Applications, 2025.
• Label-Perception Augmented Causal Analysis of Mental Health over Social Media. Y. Liang, Luwei Xiao, Linlin Wang. Journal of East China Normal University (Natural Science), 2025.

2024

• Imaginique Expressions: Tailoring Personalized Short-Text-to-Image Generation Through Aesthetic Assessment and Human Insights. Yitian Wan, Luwei Xiao, Xingjiao Wu, Jing Yang, Liang He. Symmetry, 2024.
• Vanessa: Visual Connotation and Aesthetic Attributes Understanding Network for Multimodal Aspect-Based Sentiment Analysis. Luwei Xiao, Rui Mao, Xulang Zhang, Liang He, Erik Cambria. Findings of EMNLP, 2024.
• Artistry in Pixels: FVS—A Framework for Evaluating Visual Elegance and Sentiment Resonance in Generated Images. Weijie Li, Luwei Xiao, Xingjiao Wu, Tianlong Ma, Jiabao Zhao, Liang He. ICME, 2024.
• Cross-Domain Document Layout Analysis Using Document Style Guide. Xingjiao Wu, Luwei Xiao, Xiangcheng Du, Yingbin Zheng, Xin Li, Tianlong Ma, Cheng Jin, Liang He. Expert Systems with Applications, 2024.
• Atlantis: Aesthetic-Oriented Multiple Granularities Fusion Network for Joint Multimodal Aspect-Based Sentiment Analysis. Luwei Xiao, Xingjiao Wu, Junjie Xu, Weijie Li, Cheng Jin, Liang He. Information Fusion, 2024. ESI Highly Cited Paper.
• Simple Contrastive Learning in a Self-Supervised Manner for Robust Visual Question Answering. Shuwen Yang, Luwei Xiao, Xingjiao Wu, Junjie Xu, Linlin Wang, Liang He. Computer Vision and Image Understanding, 2024.
• Best Evidence Summary for Prevention and Management of Enteral Feeding Intolerance in Critically Ill Patients. Fang Peng, Huaqin Wang, Jianzhi Li, Mengqi Ma, Xuemeng Jiang, Han Run, Qingting Li, Juanjuan Leng, Luwei Xiao, Li Tang. Journal of Clinical Nursing, 2024.
• Weak-to-Strong Backdoor Attacks for LLMs with Contrastive Knowledge Distillation. Shuai Zhao, Leilei Gan, Zhongliang Guo, Xiaobao Wu, Luwei Xiao, Xiaoyu Xu, Cong-Duy Nguyen, Anh Tuan Luu. arXiv preprint, 2024.

2023

• Cross-Modal Fine-Grained Alignment and Fusion Network for Multimodal Aspect-Based Sentiment Analysis. Luwei Xiao, Xingjiao Wu, Shuwen Yang, Junjie Xu, Jie Zhou, Liang He. Information Processing & Management, 2023. ESI Highly Cited Paper.
• Progressive Evidence Refinement for Open-Domain Multimodal Retrieval Question Answering. Shuwen Yang, Anran Wu, Xingjiao Wu, Luwei Xiao, Tianlong Ma, Cheng Jin, Liang He. arXiv preprint, 2023.
• Dual-Expert Distillation Network for Few-Shot Segmentation. Junhang Zhang, Zisong Zhuang, Luwei Xiao, Xingjiao Wu, Tianlong Ma, Liang He. ICME, 2023.
• DCQA: Document-Level Chart Question Answering Towards Complex Reasoning and Common-Sense Understanding. Anran Wu, Luwei Xiao, Xingjiao Wu, Shuwen Yang, Junjie Xu, Zisong Zhuang, Nian Xie, Cheng Jin, Liang He. arXiv preprint, 2023.

2022 and Earlier

• Document Layout Analysis via Positional Encoding. Ejian Zhou, Xingjiao Wu, Luwei Xiao, Xiangcheng Du, Tianlong Ma, Liang He. ICIP, 2022.
• PGTNet: Prototype Guided Transfer Network for Few-Shot Anomaly Localization. Zisong Zhuang, Junhang Zhang, Luwei Xiao, Tianlong Ma, Liang He. ICIP, 2022.
• A Survey of Human-in-the-Loop for Machine Learning. Xingjiao Wu, Luwei Xiao, Yixuan Sun, Junhang Zhang, Tianlong Ma, Liang He. Future Generation Computer Systems, 2022. ESI Highly Cited Paper · ESI Hot Paper · Editor’s Choice Paper.
• Depth Completion via a Dual-Fusion Method. Shuwen Yang, Luwei Xiao, Junhang Zhang, Zhichao Fu, Tianlong Ma, Liang He. ICPR, 2022.
• Graph Convolution over the Semantic-Syntactic Hybrid Graph Enhanced by Affective Knowledge for Aspect-Level Sentiment Classification. Junjie Xu, Shuwen Yang, Luwei Xiao, Zhichao Fu, Xingjiao Wu, Tianlong Ma, Liang He. IJCNN, 2022.
• Adaptive Multi-Feature Extraction Graph Convolutional Networks for Multimodal Target Sentiment Analysis. Luwei Xiao, Ejian Zhou, Xingjiao Wu, Shuwen Yang, Tianlong Ma, Liang He. ICME, 2022.
• Bayesian Estimation-Based Sentiment Word Embedding Model for Sentiment Analysis. Jingyao Tang, Yun Xue, Ziwen Wang, Shaoyang Hu, Tao Gong, Yinong Chen, Haoliang Zhao, Luwei Xiao. CAAI Transactions on Intelligence Technology, 2022.
• Multi-Head Self-Attention Based Gated Graph Convolutional Networks for Aspect-Based Sentiment Classification. Luwei Xiao, Xiaohui Hu, Yinong Chen, Yun Xue, Bingliang Chen, Donghong Gu, Bixia Tang. Multimedia Tools and Applications, 2022.
• Multi-Channel Attentive Graph Convolutional Network with Sentiment Fusion for Multimodal Sentiment Analysis. Luwei Xiao, Xingjiao Wu, Wen Wu, Jing Yang, Liang He. ICASSP, 2022.
• Correlations among Spiritual Care Competence, Spiritual Care Perceptions and Spiritual Health of Chinese Nurses: A Cross-Sectional Correlational Study. Zhangyi Wang, Haomei Zhao, Siai Zhang, Yue Wang, Yajun Zhang, Zhao Wang, Xuechun Li, Luwei Xiao, Yue Zhu, Guanghong Han, Yishan Yan, Jing Wang, Yujing Zhang, Xiaoli Pang. Palliative & Supportive Care, 2022.
• Aspect-Level Sentiment Analysis with Local Semantic and Global Syntactic Features Integration. Yifan Liu, Luwei Xiao, Yue-Cai Huang, Yun Xue, Xiaohui Hu, Haoliang Zhao, Ying Li. International Journal of Pattern Recognition and Artificial Intelligence, 2022.

• Exploring Fine-Grained Syntactic Information for Aspect-Based Sentiment Classification with Dual Graph Neural Networks. Luwei Xiao, Yun Xue, Hua Wang, Xiaohui Hu, Donghong Gu, Yongsheng Zhu. Neurocomputing, 2022.

• Aspect-Based Sentiment Analysis Using Graph Convolutional Networks and Co-Attention Mechanism. Zhaowei Chen, Yun Xue, Luwei Xiao, Jinpeng Chen, Haolan Zhang. ICONIP, 2021.
• Targeted Aspect-Based Multimodal Sentiment Analysis: An Attention Capsule Extraction and Multi-Head Fusion Network. Donghong Gu, Jiaqian Wang, Shaohua Cai, Chi Yang, Zhengxin Song, Haoliang Zhao, Luwei Xiao, Hua Wang. IEEE Access, 2021.
• SIntactical Distance Attention Guided Graph Convolutional Network for Aspect-Based Sentiment Analysis. Luwei Xiao, Donghong Gu, Yun Xue, Xiaohui Hu, Yongsheng Zhu. IJCNN, 2021.

• Modeling Inter-Aspect Relationship with Conjunction for Aspect-Based Sentiment Analysis. Haoliang Zhao, Yun Xue, Donghong Gu, Jianying Chen, Luwei Xiao. PAKDD, 2021.

• Electroencephalogram Access for Emotion Recognition Based on a Deep Hybrid Network. Q. Zhong, Y. Zhu, D. Cai, Luwei Xiao, H. Zhang. Frontiers in Human Neuroscience, 2020.

• Targeted Sentiment Classification Based on Attentional Encoding and Graph Convolutional Networks. Luwei Xiao, Xiaohui Hu, Yinong Chen, Yun Xue, Donghong Gu, Bingliang Chen, T. Zhang. Applied Sciences, 2020.

• Occlusion Face Detection Technology Based on Facial Physiology. Zhuohao Guo, Weixing Zhou, Luwei Xiao, Xiaohui Hu, Zehao Zhang, Zhou Hong. International Conference on Computational Intelligence and Security (CIS), 2018.

Manuscripts and Preprints

• Cross-Modal Alignment and Human Preference Learning for Fine-Grained Music-Guided Image Generation. Junjie Xu, Xingjiao Wu, Zihao Zhang, Luwei Xiao, Jing Yang, Jie Zhou, Q. Chen, Liang He.
• Phoenix: Prioritize the Hierarchical Observation of Auditory Expression for Audio-Based Image Generation. Junjie Xu, Xingjiao Wu, Zihao Zhang, Luwei Xiao, Daoguo Dong, Liang He. SSRN preprint.

🏆 Honors & Awards

• Editor’s Choice Paper, Future Generation Computer Systems, for “A Survey of Human-in-the-Loop for Machine Learning”.
• Shanghai Outstanding Graduate, Shanghai Municipal Education Commission.
• Outstanding Student, East China Normal University.
• Outstanding Graduation Thesis, East China Normal University.
• Huaxin Scholarship, East China Normal University.
• Social Scholarship, East China Normal University.
• Excellent Doctoral Student Academic Innovation Project, East China Normal University.

🎓 Education & Experience

• 2025.07 – present, Research Fellow, National University of Singapore, Singapore; jointly supervised by Prof. Gianmarco Mengaldo and Prof. Erik Cambria.
• 2024.01 – 2025.01, Joint Ph.D. Student, Nanyang Technological University, Singapore; supervised by Prof. Erik Cambria.
• 2021.09 – 2025.06, Ph.D. in Computer Application Technology, East China Normal University, Shanghai, China; supervised by Prof. Liang He.

🚨 Academic Services

Editorial Service

• Associate Editor, IEEE Transactions on Affective Computing.
• Associate Editor, Pattern Recognition.
• Early Career Editor, Information Fusion.
• Guest Editor, Computers, Materials & Continua, Special Issue on “Large Language Models: Foundations, Advances, and Emerging Applications”.

Conference Service

• Area Chair, XAI4Science: Knowledge Discovery and Trust through Interpretable Foundation Models, NeurIPS 2026 Workshop.
• Special Session Chair, “Toward Human-Centered GenAI: Cognitive and Behavioral Intelligence with Foundation Models and Agents”, BESC 2026.
• Reviewer / Program Committee Member: NeurIPS, ICLR, ICML, CVPR, AAAI, ACL ARR, and ACM Multimedia.

Journal Reviewing

• Reviewer for leading journals, including IEEE Transactions on Affective Computing, IEEE Transactions on Multimedia, IEEE Transactions on Knowledge and Data Engineering, Pattern Recognition, Information Fusion, Information Processing & Management, Expert Systems with Applications, and Knowledge-based Systems.

Selected Talks

• 2024.09, “AesExpert: Towards Multi-modality Foundation Model for Image Aesthetics Perception”, Nanyang Technological University, Singapore.

🌏 Visitors

Live visitor locations recorded since September 2026.