I am a Research Fellow at the NExT++ Center, National University of Singapore (NUS), working with Prof. Tat-Seng Chua. Previously, I received my Ph.D. from Nanjing University of Science and Technology under Prof. Jinhui Tang, and conducted research at Tencent AI Lab with Prof. Xiao Han and Dr. Jun Zhang. I was very lucky to participate in several interesting projects, including Duix.Avatar , V-Express , and IMAGDressing . To date, I have achieved 50+ top-three finishes in algorithm competitions, including five CCF-A workshop championships, and maintain close collaborations with Tencent AI Lab, Huawei, AIUNI, GuijiAI, and Mobvoi. I serve as a reviewer for TPAMI, NeurIPS, ICML, ICLR, CVPR, ECCV, and ICCV. PS: We are actively seeking motivated Ph.D., M.S., and undergraduate students to collaborate with Prof. Chua and myself through CSC, RA, visiting positions, or remote internships in the following research areas. If you are interested, please send your CV to shenfei29@nus.edu.sg.

📚 Research Interests

My research focuses on Latent Knowledge, Large Model Safety and Controllable Generation, organized into three themes:

• Latent Knowledge
  • Modality-Specific and Shared Representations
  • Cross-Lingual/Modal Transfer and Understanding
• Large Model Safety
  • Multilingual safety
  • Multiagent safety
  • Multimodal safety
• Image/Video Generation and Editing
  • Human/Story image generation
  • Clothing/Fashion image generation
  • Controllable editing
  • Controllable adapter

🔥 News

• 2026.02:  🎉 Two papers were accepted by CVPR 2026.
• 2026.01:  🎉 One paper was accepted by IEEE TIP.
• 2025.11:  🎉 Seven papers were accepted by AAAI 2026, including 5 Orals.
• 2025.09:  🎉 Three papers were accepted by NeurIPS 2025.
• 2025.05:  🎉 Two papers were accepted by ICML 2025.
• 2025.01:  🎉 Two papers were accepted by ICLR 2025.
• 2024.12:  🎉 Five papers were accepted by AAAI 2025.
• 2024.10:  🎉 One paper was accepted by ACM ToMM.
• 2024.09:  🎉 One paper was accepted by NeurIPS 2024.
• 2024.01:  🎉 One paper was accepted by ICLR 2024.
• 2023.07:  🎉 One paper was accepted by ACM Multimedia 2023.

📝 Selected Publications

Transport and Merge: Cross-Architecture Merging for Large Language Models
C. Cui, B. Yang, F. Shen^✉, Y. Chen, J. Zheng, X. Wang, A. Zhang, T.-S. Chua
Under Review.
[PDF]    [Code]

Who Transfers Safety? Identifying and Targeting Cross-Lingual Shared Safety Neurons
X. Zhang, C. Xie, L. Zhu, Y. Yang, W. Zhao, Z. Cheng, C. Wang,
F. Shen^✉, T.-S. Chua
Under Review.
[PDF]    [Code]

DNA: Uncovering Universal Latent Forgery Knowledge
J. Dou, C. Shi, Y. Wang, S. Guo, A. Yi, W. Wu, L. Zhang,
F. Shen^✉, T.-S. Chua
Under Review.
[PDF]    [Code]

Lingua-SafetyBench: A Benchmark for Safety Evaluation of Multilingual Vision-Language Models
E. Shi, P. Shao, Y. Zhang, C. Cui, J. Lyu, X. Xie, X. Xia, F. Shen^✉, T.-S. Chua
Under Review.
[PDF]    [Code]

TraceRouter: Robust Safety for Large Foundation Models via Path-Level Intervention
C. Shi, S. Li, W. Lu, W. Wu, C. Wang, Z. Cheng, F. Shen^✉, T.-S. Chua
Under Review.
[PDF]    [Code]

Where Culture Fades: Revealing the Cultural Gap in Text-to-Image Generation
C. Shi, S. Li, S. Guo, S. Xie, W. Wu, J. Dou, C. Wu, C. Xiao, C. Wang, Z. Cheng, F. Shen^✉, T.-S. Chua
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
[PDF]    [Code]

IMAGEdit : Let Any Subject Transform
F. Shen, W. Xu, R. Yan, D. Zhang, X. Shu, J. Tang
Under Review.
[PDF]    [Code]

IMAGHarmony: Controllable image editing with consistent object quantity and layout
F. Shen, X. Du, Y. Gao, J. Yu, Y. Cao, X. Lei, J. Tang
Under Review.
[PDF]    [Code]

IMAGGarment: Fine-grained garment generation for controllable fashion design
F. Shen, J. Yu, C. Wang, X. Jiang, X. Du, J. Tang
Under Review.
[PDF]    [Code]

IMAGGarment+: Efficient Attribute-Wise Diffusion for Garment Generation
J. Yu*, F. Shen*, C. Wang, Y. Sun, H. Tang, Q. Guo, X. Du
AAAI Conference on Artificial Intelligence (AAAI), 2026.
[PDF]    [Code]

SGMHand: Structure-Guided Modulation for Structure-Aware Hand Inpainting
C. Shi, S. Guo, Y. Chen, K. Shui, F. Shen^✉
AAAI Conference on Artificial Intelligence (AAAI), 2026.
[PDF]    [Code]

CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action Model
D. Zhang, F. Shen^✉, R. Zhao, Y. Chen, P. Zhi, C. Li, R. Zhou, Q. Zhou
Neural Information Processing Systems (NeurIPS), 2025.
[PDF]    [Code]

IMAGDressing-v1: Customizable Virtual Dressing
F. Shen, X. Jiang, X. He, H. Ye, C. Wang, X. Du, Z. Li, J. Tang
AAAI Conference on Artificial Intelligence (AAAI), 2025.
[PDF]    [Code]

Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model
F. Shen, C. Wang, J. Gao, Q. Guo, J. Dang, J. Tang, T.-S. Chua
International Conference on Machine Learning (ICML), 2025.
[PDF]    [Code]

Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models
F. Shen, H. Ye, S. Liu, J. Zhang, C. Wang, X. Han, W. Yang
AAAI Conference on Artificial Intelligence (AAAI), 2025.
[PDF]    [Code]

IMAGPose: A Unified Conditional Framework for Pose-Guided Person Generation
F. Shen, J. Tang
Neural Information Processing Systems (NeurIPS), 2024.
[PDF]    [Code]

Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models
F. Shen, H. Ye, J. Zhang, C. Wang, X. Han, W. Yang
International Conference on Learning Representations (ICLR), 2024.
[PDF]    [Code]

Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-Identification
F. Shen, X. Du, L. Zhang, X. Shu, J. Tang
ACM Transactions on Multimedia Computing, Communications and Applications (ToMM), 2024
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[PDF]    [Code]

GiT: Graph Interactive Transformer for Vehicle Re-identification
F. Shen, Y. Xie, J. Zhu, X. Zhu, H. Zeng
IEEE Transactions on Image Processing (IEEE TIP), 2023
[PDF]    [Code]

Exploring Spatial Significance via Hybrid Pyramidal Graph Network for Vehicle Re-Identification
F. Shen, J. Zhu, X. Zhu, Y. Xie, J. Huang
IEEE Transactions on Intelligent Transportation Systems, 2023.
[PDF]    [Code]

Pedestrian-specific Bipartite-aware Similarity Learning for Text-based Person Retrieval
F. Shen, X. Shu, X. Du, J. Tang
ACM International Conference on Multimedia (ACM MM), 2023.
[PDF]    [Code]