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Jingfeng Zhang

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Locate, Assign, Refine: Taming Customized Image Inpainting with Text-Subject Guidance

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Mar 28, 2024
Yulin Pan, Chaojie Mao, Zeyinzi Jiang, Zhen Han, Jingfeng Zhang

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Make Me Happier: Evoking Emotions Through Image Diffusion Models

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Mar 13, 2024
Qing Lin, Jingfeng Zhang, Yew Soon Ong, Mengmi Zhang

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Privacy-Preserving Low-Rank Adaptation for Latent Diffusion Models

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Feb 19, 2024
Zihao Luo, Xilie Xu, Feng Liu, Yun Sing Koh, Di Wang, Jingfeng Zhang

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SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing

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Dec 18, 2023
Zeyinzi Jiang, Chaojie Mao, Yulin Pan, Zhen Han, Jingfeng Zhang

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Fair Text-to-Image Diffusion via Fair Mapping

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Nov 29, 2023
Jia Li, Lijie Hu, Jingfeng Zhang, Tianhang Zheng, Hua Zhang, Di Wang

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AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework

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Oct 03, 2023
Xilie Xu, Jingfeng Zhang, Mohan Kankanhalli

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BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning

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May 28, 2023
Jingfeng Zhang, Bo Song, Haohan Wang, Bo Han, Tongliang Liu, Lei Liu, Masashi Sugiyama

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Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization

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Apr 30, 2023
Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan Kankanhalli

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Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection

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Feb 08, 2023
Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan Kankanhalli

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GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks

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Feb 06, 2023
Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon

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