I'm Jing Yang / 杨靖 / 양정

A current Ph.D. candidate @ USC's Vision & Graphics Lab (VGL) working with Prof. Yajie Zhao, Prof. Hao Li, and Prof. Randal Hill. Drawing inspiration from the pioneering Paul Debevec, our research adjunct professor, I'm delving into Light Stage related research projects and problems.

My research interests are centered on tackling challenges in light transport through the use of Light Stage and machine learning. I am particularly passionate about acquiring real-world material properties and applying them to relighting, physically accurate material generation via generative AI, and physically-based neural rendering. My goal is to improve the accuracy and realism of material representation and light interaction in digital environments.

My website (papercopilot.com) has been utilized in multiple media outlets, as detailed in the following section including SCMP, ShoutoutLA, 机器之心 (jiqizhixin.com), 新智元, etc. My volunteer/leadership roles at the Olympic/Paralympic Games have been covered by media outlets such as 中国中央电视台 (CCTV-5, CCTV-13), 北京卫视 (BRTV). More to come in the future.

papercopilot.com

I build Paper Copilot™ to help the community (5.91M+ All-time Impressions)

Vanity Metrics: Paper Copilot™ now has over 184K users from 174 countries (covering 89.23% of all 195 countries worldwide) and 7,066 cities, with 851K+ page views, 2.67M+ Google Search Impressions, and 2.91M+ user events. (Vanity Metrics means these numbers look cool at a glance but actually useless.)
Users also land from: perplexity.ai, chatGPT.com, openreview.com, etc
Trademark submitted to USPTO (Status), owned by Jing Yang.

Used or reported in the following meia/social media/news

Star (*) : original report or post
SCMP[1*], ShoutoutLA [1*], Linkedin[1*], CVPR Official Retweets[1*,2*], 新智元(xinzhiyuan)[1*,2*,3*], 机器之心(jiqizhixin)[1*,2*,3*,4*,5*], 搜狐(souhu)[1*,2,3], 图灵学术(tulingxueshu)[1*], 国家科技成果网(gfkjgy.com)[1], 凤凰网[1*,2], 腾讯(tencent)[1,2], 网易(163.com)[1,2], 百度(baidu)[1], 新浪(sina)[1,2], 澎湃(thepaper.cn)[1,2], 掘金(juejn)[1,2], AI科技评论[1], CSDN[1, 2*], Reddit (r/MachineLearning)[1,2,3], publications[1], company report[1], blogs[1] and personal sites[1,2,3].
知乎 (zhihu,460K+ views)
小红书 (xiaohongshu,142K+ views)
Twitter (855K views)