Quan Wen — accepted AI-conference papers

2026

FedUP: One-Shot Federated Unlearning via Centroid-Guided Plug-in Filters

Feihong Nan, Zhengyi Zhong, Pan Wang, Weidong Bao, Xiongtao Zhang, Quan Wen +1

IJCAI 2026

Federated unlearning (FU) is critical for complying with legal mandates like the right to be forgotten in decentralized systems, yet current methods face a persistent dilemma between non-target knowledge loss and high request latency. To resolve these issues, we propose FedUP, a one-shot federated u

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2025

From Pixels to Views: Learning Angular-Aware and Physics-Consistent Representations for Light Field Microscopy

Feng He, Guodong Tan, Qiankun Li, Jun Yu, Quan Wen

NeurIPS 2025poster

Light field microscopy (LFM) has become an emerging tool in neuroscience for large-scale neural imaging in vivo, with XLFM (eXtended Light Field Microscopy) notable for its single-exposure volumetric imaging, broad field of view, and high temporal resolution. However, learning-based 3D reconstructi…

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