Ning Yu 于宁

Call for interns

I am looking for Ph.D. research interns with a background in visual generative models or vision-language learning during spring/summer 2023 and beyond. Each internship targets 1+ top-tier publications, has the potential to transfer to real features in Salesforce AI-empowered products, and is followed by full-time opportunities. Please apply here and email me your C.V. The hiring is rolling-based.

About me

I am a Research Scientist at Salesforce Research. My research aspirations lie in computer vision and visual security, with a focused lens at the bright/dark sides of multimodal generative models and vision-language learning. I hold a Ph.D. from the joint program with the University of Maryland and Max Planck Institute for Informatics where I was supervised by Larry Davis and Mario Fritz.

My selected works include LayoutDETR, GlueGen, HIVE, Contrast and Attention GANs, Scalable GAN Fingerprints, Artificial GAN Fingerprints, GAN Fingerprints, Inclusive GAN, Texture Mixer, and Defect Detection. My research was featured in media press such as Zhihu, thejiangmen, QbitAI, and foodplus.

I am constantly dedicated to academic services, such as serving as area chair for CVPR'23, ICCV'23, NeurIPS'23, AAAI'23, AISTATS'23, WACV'23, and BMVC'22.

I am a recipient of Twitch (Amazon) Research Fellowship, Microsoft Young Fellowship, Qualcomm Innovation Fellowship Finalist x2, and SPIE Best Student Paper Finalist.

News

[2023/05] DE-FAKE is accepted to CCS 2023.
[2023/04] Generated Graph Detection is accepted to ICML 2023.
[2023/04] SPAD and Prototype LTR are accepted to IJCAI 2023.
[2023/04] RoSteALS is accepted to CVPR Workshop on Media Forensics 2023.
[2023/02] Mask-free OVIS and Cont-Steal are accepted to CVPR 2023.
[2022/10] UnGANable is accepted to USENIX 2023.
[2022/08] FcF Image Inpainting is accepted to WACV 2023. The code is released.
[2022/07] I am one of the top reviewers and serve as a session chair for ICML 2022.
[2022/07] RepMix is accepted to ECCV 2022. The code is released.
[2022/05] Vision-Language for Food Nutrient Estimation is accepted to Food Chemistry 2022.
[2022/04] Multi-Exit Privacy is accepted to CCS 2022.
[2022/04] The code for RelaxLoss is released.
[2022/01] The code for Scalable GAN Fingerprints is released.
[2022/01] Scalable GAN Fingerprints and RelaxLoss are accepted to ICLR 2022 as Spotlight.
[2021/10] The code for VIDNet is released.
[2021/10] VIDNet is accepted to BMVC 2021.
[2021/09] The code for Artificial GAN Fingerprints is released.
[2021/08] I defended my Ph.D. The dissertation about Human-Centric Deep Generative Models is online.
[2021/08] CV for Food Nutrient Estimation is accepted to Food Chemistry 2021.
[2021/08] The code for Beyond the Spectrum is released.
[2021/07] Artificial GAN Fingerprints is accepted to ICCV 2021 as Oral.
[2021/07] Dual Contrastive Loss and Attention for GANs is accepted to ICCV 2021.
[2021/06] The code for Hijack-GAN is released.
[2021/05] CV for Food Nutrient Prediction is accepted to Food Research International 2021.
[2021/04] Re-Synthesis for Deepfake Detection is accepted to IJCAI 2021.
[2021/03] AI for Food Nutrient Estimation is accepted to Journal of Food Composition and Analysis 2021.
[2021/02] Hijack-GAN is accepted to CVPR 2021.
[2021/01] The code for Inclusive GAN is released.
[2020/09] The code for Class Balanced Experts for Long-Tailed Recognition is released.
[2020/08] Class Balanced Experts for Long-Tailed Recognition is accepted to GCPR 2020.
[2020/08] The code for GAN-Leaks is released.
[2020/06] Inclusive GAN is accepted to ECCV 2020.
[2020/03] GAN-Leaks is accepted to CCS 2020.

Publications