Lu Jiang

Brief Biosketch

Lu Jiang was a research scientist at ByteDance USA (a brief bio). Lu is a former adjunct faculty member at Carnegie Mellon University, School of Computer Science. Prior to this, he served as a staff research scientist and manager at Google.

His work has been awarded the Best Paper at top machine learning conferences such as ICML and IJCAI-JAIR, and has also been nominated for the Best Paper at ACL and CVPR. His research has been integral in multiple Google products such as YouTube, Cloud, Cloud AutoML, Ads, Waymo, and Translate, impacting the daily lives of billions of users worldwide.

He has worked with several renowned researchers in the field of computer vision and natural language processing. From 2017-2018, he was the founding member and first research scientist hired by Dr. Jia Li and Dr. Fei-Fei Li at Google Cloud AI. He then went on to work at Google Research, where he worked with Dr. Weilong Yang (2019-2020), Dr. Ce Liu (2020-2021), Madison Le (2021-2022), and Dr. Irfan Essa (2023). Dr. Tat-Seng Chua and Dr. Louis-Philippe Morency were his thesis advisors during his PhD at Carnegie Mellon University, which he received in 2017 under the guidance of Dr. Alexander Hauptmann and Dr. Teruko Mitamura. Throughout his internships at Yahoo, Google, and Microsoft Research, he was mentored by several researchers including Dr. Liangliang Cao, Dr. Yannis Kalantidis and Sachin Farfade from Yahoo Research, Dr. Paul Natsev and Dr. Balakrishnan Varadarajan from Google Research, Dr. Qiang Wang and Dr. Dongmei Zhang from Microsoft Research. Prior to this, he worked as a research assistant at Xi'an Jiaotong University under the supervision of Dr. Jun Liu.

Honors and Awards

IJCAI-JAIR Best Paper Award, 2024
Best Paper ICML Award, 2024
Best paper Finalist at CVPR, 2022 (Top 33 out of 8,160+ submissions)
Best Paper Nomination at ACL, 2019 (Top 18 out of 1,737+ submissions)
Yahoo! Fellowship, 2016
Best Poster at IEEE Spoken Language Technology, 2014
Best Paper Nomination at ICMR 2014, 2015
Best performer on IARPA Aladdin Video at NIST TRECVID 2013, 2014

Selected Professional Activities

Program Chair:

Program Co-chairs of CVPR AI for Content Creation Workshop (AI4CC) (2020-2025)

Area Chair:

Area Chair of CVPR (2023, 2024, 2025), ICML (2024, 2025), ICCV (2023, 2025), NeurIPS (2023, 2024, 2025), ICLR (2025)
Area Chair of ACM Multimedia (2019-2023), SPC of AAAI (2022-2024), WACV (2023, 2024)

Editorship:

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Transactions on Machine Learning Research (TMLR)

Computer Vision and Image Understanding (CVIU)

Misc.

AI panelist for America's Seed Fund (NSF SBIR)
Google Faculty Award Committee
Keynote talk, 2024 IEEE International Conference on Multimedia and Expo (ICME 2024). slides
Invited talk on the Weakly Supervised Learning workshop in ICLR 2021.
Guest lectures on vision and language in Carnegie Mellon University (2019, 2021).