About Me
I am currently a Postdoctoral Research Fellow at the National University of Singapore (NUS), working with Prof. Wynne Hsu and Prof. Mong-Li Lee. I received my Ph.D. degree from Shandong University, under the supervision of Prof. Liqiang Nie and Prof. Xuemeng Song. From November 2022 to December 2023, I was a visiting Ph.D. student at the NExT++ Lab, NUS, supervised by Prof. Tat-Seng Chua and Prof. Yinwei Wei. My research interests lie in culturally aware multimodal large language models (MLLMs), multimodal understanding, and affective computing.
I am looking for motivated research interns to work on culturally aware MLLMs, multimodal understanding, and affective computing. If you are interested, please feel free to contact me via email.
Selected Publications
Selected first-author works. View all publications →
ArtECulture: Benchmarking Culture-Conditioned Visual Emotion Understanding in Multimodal Large Language Models
Xiaolin Chen, Xuemeng Song, Wenhao Shi, Xianjing Han, Mong-Li Lee, and Wynne Hsu.
arXiv, 2026 · Paper
Dual Knowledge-Enhanced Two-Stage Reasoner for Multimodal Dialog Systems
Xiaolin Chen, Xuemeng Song, Haokun Wen, Weili Guan, Xiangyu Zhao, and Liqiang Nie.
arXiv, 2025 · Paper
Domain-aware Multimodal Dialog Systems with Distribution-based User Characteristic Modeling
Xiaolin Chen, Xuemeng Song, Jianhui Zuo, Yinwei Wei, Liqiang Nie, and Tat-Seng Chua.
ACM TOMM, 2024 · Paper
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model
Xiaolin Chen, Xuemeng Song, Liqiang Jing, Shuo Li, Linmei Hu, and Liqiang Nie.
ACM TOIS, 2023 · Paper
Dual Semantic Knowledge Composed Multimodal Dialog Systems
Xiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, and Tat-Seng Chua.
ACM SIGIR, 2023 · Paper
Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage
Xiaolin Chen, Xuemeng Song, Guozhen Peng, Shanshan Feng, and Liqiang Nie.
ACM SIGIR, 2021 · Paper
User Identity Linkage Across Social Media via Attentive Time-Aware User Modeling
Xiaolin Chen, Xuemeng Song, Siwei Cui, Tian Gan, Zhiyong Cheng, and Liqiang Nie.
IEEE TMM, 2021 · Paper
Fine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation Learning
Xiaolin Chen, Xuemeng Song, Ruiyang Ren, Lei Zhu, Zhiyong Cheng, and Liqiang Nie.
ACM TOIS, 2020 · Paper
Education & Experience
