Manxi Lin

Manxi Lin

Research Engineer, Alibaba Inc.
Research Interest: Multimodal Learning, Medical Imaging

About Me

I am a Research Engineer at Taobao & Tmall Group, Alibaba Inc., focused on building multimodal methods for content understanding and generative recommendation.

I received my Ph.D. from the Technical University of Denmark (DTU) in January 2025, supervised by Prof. Aasa Feragen, and affiliated with the Pioneer Centre of Artificial Intelligence. My research centers on multimodal learning — bridging time series, images, and point clouds — through robust neural architectures, explainability, and clinically-oriented applications. During my Ph.D. I was a visiting researcher in Prof. Qi Dou's group at the Chinese University of Hong Kong.

I earned my B.E. from Huazhong University of Science and Technology (2019), where I worked with Prof. Jun Wu. My primary interests include multimodal learning, medical imaging, and interpretable models for real-world systems.

Selected Publications

* denotes equal contribution. denotes corresponding author.

MIRAGE: Towards AI-Generated Image Detection in the Wild
Cheng Xia*, Manxi Lin*, Jiexiang Tan*, Xiaoxiong Du, Yang Qiu, Junjun Zheng, Xiangheng Kong, Yuning Jiang, Bo Zheng
AAAI 2026 [PDF]
U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding
Anjie Le... Manxi Lin, Hongcheng Guo (Selected authors for brevity)
ICLR 2026 [PDF]
Shortcut Learning in Medical Image Segmentation
Manxi Lin*, Nina Weng*, Kamil Mikolaj, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Tolsgaard, Anders Nymark Christensen, Aasa Feragen
MICCAI 2024 [PDF]
Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring
Tiantian Zhang*, Manxi Lin*, Hongda Guo, Xiaofan Zhang, Ka Fung Peter Chiu, Aasa Feragen, Qi Dou
MICCAI 2024 [PDF]
Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms
Diandian Guo*, Manxi Lin*, Jialun Pei, He Tang, Yueming Jin, Pheng-Ann Heng
MICCAI 2024 [PDF]
DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation
Manxi Lin, Zahra Bashir, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
IPMI 2023 (Oral) [PDF]
diffConv: Analyzing Irregular Point Clouds with an Irregular View
Manxi Lin, Aasa Feragen
ECCV 2022 [PDF]


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