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About Me
I am currently a senior lecturer in the Department of Electrical and Computer Engineering, College of Design and Engineering, National University of Singapore (NUS). Previously, I was a senior research fellow in the School of Computing at NUS, working with Prof. Mohan Kankanhalli. Prior to joining NUS, I was a senior research engineer at the Institute for Infocomm Research, part of Singapore's Agency for Science, Technology, and Research (A*STAR) from 2013 to 2015. I worked as a lecturer from 2006 to 2012 in Ningbo University of Technology. I received the B. E. and M. E. degree from South China University of Technology in 2001, 2004, respectively. I did my D. Phil in Ningbo University, and Institute for Infocomm Research, A*STAR from 2010 to 2015. My research interest includes cognitive vision, computer vision, and computational social science. My PhD is co-supervised by Tian-Tsong Ng and Rang-Ding Wang. I also receive intensive guidance from Bryan L. Koenig, Jonathan S. Herberg, and Cheston Y.-C. Tan.
Email: dcsfs AT nus.edu.sg
Selected Publications (For a more complete list, please see my Google Scholar Citation page.)
S. Fan, B. Koenig, N. Memon, M. Kankanhalli. “Fighting Misinformation on Social Media: Why People Share Fake News and Whether Credibility Indicators Help”, Computer, 2026.
Z. Shen*, S. Fan*, D. Xu, T. Sim, M. Kankanhalli. “Modeling Human Responses to Multimodal AI Content”, Computer, 2026. (* Co-first authors).
D. Xu, S. Fan, H. Cheng, M. Kankanhalli, “RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild”, PPMisDet Workshop, CVPR, 2026. (Best Paper and Presentation)
Z. Wang, Z. Liu, S. Fan, S. Wu, Y. Jiao, “DiffusionPose: Markov-optimized Diffusion Model for Human Pose Estimation”, AAAI, 2026. (Oral)
K. Pan, C. Xie, J. Hou, C. Shuai, Y. Wang, S. Fan, S. Wu, Z. Liu, Z. Ba, K. Run, "Seeing Beyond the Pixels: Detecting Concealed Harmful Text in Visual Illusion Images", IEEE Transactions on Dependable and Secure Computing, 2026.
S. Wu, H. Chen, Y. Lyu, S. Fan, Z. Wang, Z. Liu, Y. Jiao, “Dual Coding Theory in Action: Language-Assisted Human Pose Estimation in Videos”, AAAI, 2026.
S. Wu, H. Chen, Y. Lyu, S. Fan, Z. Wang, Z. Liu, Y. Jiao, “Attentive Keypoint Identification: Progressive Spatiotemporal Refinement for Video-Based Human Pose Estimation”, AAAI, 2026.
J. Hu, S. Fan, and T. Sim. "Seeing Through Deepfakes: A Human-Inspired Framework for Multi-Face Detection." ICCV. 2025.
Z. Wang, S. Fan, Z. Liu, Z. Wu, S. Wu, Y. Jiao, Multi-Grained Feature Pruning for Video-Based Human Pose Estimation, ICASSP 2025
Y.Jiao, Z. Wang, Z. Liu, S. Fan, S. Wu, Z. Wu, Z. Xu, Optimizing Human Pose Estimation through Focused Human and Joint Regions, AAAI 2025
Y.Jiao, Z. Wang, S. Wu, S. Fan, Z. Liu, Z. Xu, Z. Wu, SpatioTemporal Learning for Human Pose Estimation in Sparsely-Labeled Videos, AAAI 2025
S. Fan, R. Jain, M. Kankanhalli, A Comprehensive Picture of Factors Affecting User Willingness to Use Mobile Health Applications. ACM Transactions on Computing for Healthcare, 2024. [pdf] [2024 Best Paper of ACM HEALTH]
D. Xu, S. Fan, M. Kankanhalli, Combating Misinformation in the Era of Generative AI Models. (ACMMM), 2023. [pdf]
Y. Wong, S. Fan, Y.Guo, Z. Xu, K. Stephen, R. Sheoran, A. Bhamidipati, V. Barsopia, J. Liu, M. Kankanhalli, Compute to tell the tale: Goal-driven narrative generation (ACMMM), 2022. [pdf]
S. Fan*, Z. Shen*, M. Jiang, B. Koenig, M. Kankanhalli, Q.Zhao. Emotional attention: From eye tracking to computational modeling, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2022. [pdf] [supplementary] [code & dataset]
A. Singh, S. Fan, M. Kankanhalli, "Human Attributes Prediction Under Privacy-preserving Conditions". ACM Multimedia Conference (ACMMM) 2021. (Oral). [pdf] [supplementary] [code] [dataset] Project website
Sun, Y., Zhao, M., Hu, K. and S. Fan, "Visual saliency prediction using multi-scale attention gated network". Multimedia Systems, pp.1-9. 2021
S. Fan, Z. Shen, B. Koenig, T. -T Ng and M. Kankanhalli. "When and Why Static Images Are More Effective Than Videos." IEEE Transactions on Affective Computing 01 (2020): 1-1.
S. Fan, B. Koenig, Q.Zhao, M. Kankanhali, A Deeper Look at Human Visual Perception of Images. SN Computer Science 1, 1 (2020) 1-16 [pdf]
Z. Shen, MF Habibi, S. Fan, and M. Kankanhalli, "MediaEval 2020: Maintaining Human-Imperceptibility of Image Adversarial Attack by using Human-Aware Sensitivity Map", MediaEval 2020. [pdf]
S. Wu, S. Fan, Z. Shen, M. Kankanhalli and A Tung, Who You Are Decides How You Tell. ACM Multimedia Conference (ACMMM), 2020. (Oral) [pdf] [Oral presentation]
C Weth, A. Abdul, S. Fan, M. Kankanhalli, Helping Users Tackle Algorithmic Threats on Social Media: A Multimedia Research Agenda (ACMMM), 2020.
Z. Shen, S. Fan, Y. Wong, T. -T Ng and M. Kankanhalli, Human-imperceptible Privacy Protection Against Machines. ACM Multimedia Conference (ACMMM), Nice, France, 2019 (Oral, Best Student Paper). [Featured in The Straits Times ]
M. Cordel, S. Fan, Z. Shen and M. Kankanhalli, Emotion-Aware Human Attention Prediction. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
S. Fan, Z. Shen, M. Jiang, B. Koenig, J. Xu, M. Kankanhali, Q.Zhao, Emotional Attention: A Study of Image Sentiment and Visual Attention. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (Spotlight oral, acceptance rate: 6.6%).
S. Fan, T.-T. Ng, B. Koenig, J. Herberg, M. Jiang, Z. Shen, Q.Zhao. Image Visual Realism: From Human Perception to Machine Computation, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 40.9(2018).
S. Fan, M. Jiang, B. Koenig, Z. Shen, M. Kankanhali, Q.Zhao, The Role of Visual Attention in Sentiment Prediction, ACM Multimedia Conference (ACMMM), Mountain View, CA, USA, 2017.
S. Fan, M. Jiang, B. Koenig, J. Xu, Y. Chen, M. Kankanhalli, Q. Zhao. ``A Correlational Study Between Human Attention and High-level Image Perception ''. Journal of Vision, August 2017, vol. 17.
M. Jiang, Z. Shen, S. Fan, Q. Zhao. ``SALICON: A Web Platform for Crowdsourcing Behavioral Experiments''. Journal of Vision, August 2017, vol. 17.
S. Wang, S. Fan, B. Chen, S. Hakimi, L. Paul, Q. Zhao, R. Adolphs. Revealing the world of autism through the lens of a camera. Current Biology, 2016. [pdf] [news]
S. Fan, T.-T. Ng, B. Koenig, M. Jiang, Q.Zhao. A Paradigm for Building Generalized Models of Human Image Perception through Data Fusion, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016.
B. Xu, M. Jiang, S. Fan, Q. Zhao. Data fusion with Deep Boltzmann Machines for high-level image perception, WICV 2016, in conjunction with CVPR 2016.
S. Fan, T.-T. Ng, J. Herberg, B. Koenig, Y.-C. Tan, R. Wang. An Automated Estimator of Image Visual Realism Based on Human Cognition., IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2014.
S. Fan, T.-T. Ng, J. Herberg, B. Koenig, Y.-C. Tan, R.Wang. Human Perception of Visual Realism for Photo and Computer-generated Face Images. ACM Transactions on Applied Perception (TAP) 11.2 (2014): 7.
S. Fan, T.-T. Ng, J. Herberg, B. Koenig, S. Xin. Real or Fake?: Human Judgments about Photographs and Computer-generated Images of Faces. Siggraph Asia, Technical Brief, 2012. (Oral)
S. Fan, T.-T. Ng, J. Herberg, B. Koenig, Y.-C. Tan, R. Wang. An Automated Estimator of Image Visual Realism Based on Human Cognition, Vision Meets Cognition Workshop, in conjunction with CVPR 2014. (Invited). Extended Abstract. 2014.
S. Fan, T.-T. Ng, J. Herberg, B. Koenig, Y.-C. Tan, R. Wang. Human Perception of Visual Realism for Photo and Computer-generated Face Images, Vision Meets Cognition Workshop, in conjunction with CVPR 2014. Extended Abstract. 2014.
Teaching
EE2211 Introduction to Machine Learning [NUSMods]
EE2213 Introduction to Artificial Intelligence [NUSMods]
EE3703 Machine Learning with Applications [NUSMods]
EE4312 Artificial Neural Networks [NUSMods]
Professional Services
Senior Program Committee Member of AAAI 2022. Program Committee Member of AAAI 2021, ACM MM 2017, 2018
Invited reviewer for CVPR 2018, 2019, 2020, 2021, 2022, 2023, 2024; ICCV 2019, 2021, 2022; ECCV 2020, 2021, 2022; SIGGRAPH 2022; NeurIPS 2022, 2023, 2024; ICLR 2022, 2023; ICML 2023; WWW 2024
Invited reviewer for WACV 2018, 2019. 2020; 2021
Invited reviewer for ACCV 2018, 2019, 2020, 2021; ICPR 2018, 2019
Invited reviewer for Journal of Experimental & Theoretical Artificial Intelligence
Invited reviewer for Scientific Reports (by Nature Publishing Group)
Invited reviewer for IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)
Invited reviewer for ACM Transactions on Applied Perception (TAP)
Invited reviewer for IEEE Transactions on Information Forensics and Security (TIFS)
Invited reviewer for IEEE Transactions on Multimedia
Invited reviewer for IEEE Signal Processing Letters
Invited reviewer for Pattern Recognition Letters
Invited reviewer for ACM Transactions on Multimedia Computing, Communications and Applications
Invited reviewer for Signal Processing
Invited reviewer for Multimedia Systems
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