Lu Jiang

Brief Biosketch

Lu Jiang is a Principal Research Scientist at Apple (brief bio). He was previously a Research Director at ByteDance USA, leading efforts on video foundation models, and held research scientist and manager roles at Google. He also served as Adjunct Faculty at the School of Computer Science, Carnegie Mellon University.

His research focuses on video generation, generative AI, and multimodal foundation models, with applications in YouTube, Google Cloud, Google Ads, Waymo, TikTok, and CapCut, impacting billions of users. His work has received Best Paper Awards at ICML and IJCAI-JAIR, and nominations at ACL and CVPR.

He actively serves the research community as an AI panelist for NSF SBIR, Area Chair for CVPR, ICCV, ICML, ICLR, NeurIPS, and Associate Editor for CVIU, IEEE TPAMI, and TMLR.

He received his Ph.D. from Carnegie Mellon University, advised by Alexander Hauptmann, Teruko Mitamura. He was also affiliated with Xi'an Jiaotong University under Jun Liu.

Honors and Awards

ICML Best Paper Award, 2024
IJCAI-JAIR Best Paper 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)
Invited lectures, the DeepLearn. Slides [part 1, part 2, part 3]
Invited talk, the NTIRE workshop on video generation foundation model at CVPR 2025.
Invited talk, the EDGE workshop on efficient video generation at CVPR 2025.
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).