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Yifan Jiang @ University of Texas at Austin
Yifan Jiang ,
Hao Tang,
Jen-Hao Rick Chang,
Liangchen Song,
Zhangyang Wang,
Liangliang Cao
[Paper]
Yifan Jiang ,
Peter Hedman,
Ben Mildenhall,
Dejia Xu,
Jonathan T. Barron,
Zhangyang Wang,
Tianfan Xue
[Paper]
[Project Page]
Yifan Jiang* ,
Zhiwen Fan*,
Peihao Wang*,
Xinyu Gong,
Dejia Xu,
Zhangyang Wang
[Paper]
[Project Page]
[Code]
Yifan Jiang* ,
Xinyu Gong*,
Junru Wu,
Humphery Shi,
Zhicheng Yan,
Zhangyang Wang
[Paper]
Yifan Jiang ,
Shiyu Chang,
Zhangyang Wang
[Paper]
[Code]
Covered Media:
[Youtube
Video]
[机器之心]
[青源 Live]
[Quanta
Magazine]
Covered Media:
[Synced
AI Review]
Yifan Jiang , Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen,
Jianchao Yang, Pan Zhou, Zhangyang Wang
[Paper]
[Code]
[Supplementary]
[Slides]
Covered Media:
[IEEE SPS Webinar]
Reviewer or program committee member for CVPR'2021-2023, ICCV'2021-2023, ECCV'2022, ICML'2022-2023, NeurIPS'2022-2023, ICLR'2023, Siggraph'2022, Siggraph Aisa'2022, IROS'2023, WACV'2022, IJCAI'2023, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transaction on Image Processing (TIP), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), International Journal of Computer Vision
(IJCV), NeuroComputing, IEEE Transactions on Computational Imaging (TCI).
Workshop Organizer for ECCV RLQ-TOD Workshop 2020
[May 2023] "Extreme Novel-view Synthesis and 3D Content Creation using Deep Generative Prior" at Caltech & UCLA, and Apple
[Jan 2023] "Learning to Enhance Low-light Images without Paired Supervision" at [IEEE SPS Webinar], after my TIP work EnlightenGAN was highlighted as one of SPS's top-25 most downloaded articles on IEEE Xplore®, 2021-2022
[Jan 2022] "Fast and High Quality Image Denoising via Malleable Convolution" at Adobe, NextCam.
[July 2021] "Vision Transformer for Image Generation, Editing, and Processing" at Google Research, GCam.
[Mar 2021]
"TransGAN: Two Transformers Can Make One Strong GAN, and That Can Scale Up."
at [机器之心], [智源社区], [cai-workshop], University of Oregon
About
Hi, I am Yifan Jiang (江亦凡). I am a Senior Research Scientist at 
Meta SuperIntelligence Lab. I earned my PhD degree from University of Texas at Austin, VITA Group, supervised by Prof. Zhangyang (Atlas) Wang. Before that, I received my bachelor's degree from Huazhong University of Science and Technology. At Meta, I mainly work on personalized generative intelligence.
News:
- I joined Meta SuperIntelligence Lab as a AI Research Scientist.
- EnlightenGAN is awarded an IEEE SPS Young Author Best Paper Award.
- I joined Apple AI/ML as a Machine Learning Research Scientist.
- I'm awarded a University of Texas Graduate Dean’s Prestigious Fellowship.
- I'm selected to be a recipient of
Apple Scholars in AI/ML PhD fellowship 2023.
Selected Publications
( show selected / show all by date / show all by topic )
Topics: Generative Model / Neural Rendering / Computational Photography / Others / (*: indicates equal contribution.)
Dejia Xu,
Yifan Jiang ,
Chen Huang,
Liangchen Song,
Thorsten Gernoth,
Liangliang Cao,
Zhangyang Wang,
Hao Tang
[Paper]
[Project Page]
Zhendong Wang,
Yifan Jiang ,
Yadong Lu,
Yelong Shen,
Pengcheng He,
Weizhu Chen,
Zhangyang Wang,
Mingyuan Zhou
[Paper]
[Project Page]
[Code]
Qiucheng Wu,
Yifan Jiang ,
Junru Wu,
Victor Kulikov,
Vidit Goel,
Nikita Orlov,
Humphrey Shi,
Zhangyang Wang,
Shiyu Chang
[Paper]
Dejia Xu,
Yifan Jiang ,
Peihao Wang,
Zhiwen Fan,
Yi Wang,
Zhangyang Wang
[Paper]
[Project Page]
[Code]
Zhiwen Fan,
Peihao Wang,
Yifan Jiang ,
Xinyu Gong,
Dejia Xu,
Zhangyang Wang
[Paper]
[Project Page]
[Code]
Covered Media:
[Youtube
Video]
[机器之心]
[青源 Live]
[Quanta
Magazine]
Bowen Pan,
Rameswar Panda,
Yifan Jiang ,
Zhangyang Wang,
Rogerio Feris,
Aude Oliva
[Paper]
Xinyu Gong, Shiyu Chang, Yifan Jiang , Zhangyang Wang
[Paper]
[Code]
Covered Media:
[Synced
AI Review]
Covered Media:
[IEEE SPS Webinar]
Click to show [Full Publications]
Click to show [Selected Publications]
Experiences
I've interned at 
Apple (AI/ML), 
Adobe (Marc Levoy's team),
Google Research (GCam), Adobe (ART), and 
Bytedance AI Lab (US CV Lab).
Apple (AI/ML), Adobe (Marc Levoy's team),
Google Research (GCam), Adobe (ART), and Bytedance AI Lab (US CV Lab).
Service
Invited Talk