Brief Biosketch

Lu Jiang is a staff research scientist and manager at Google Research (a brief bio). Lu is also an adjunct faculty member at Carnegie Mellon University, School of Computer Science, Language Technologies Institute where he supervises graduate student's research and teaches lectures.

His work has been nominated for the best paper at the top conferences in natural language processing (ACL) and computer vision (CVPR), among other best paper and poster awards at ACM ICMR, IEEE SLT, and NIST TRECVID. His research has been integral in the development of multiple Google products such as YouTube, 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 worked with 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. Dr. Tat-Seng Chua and Dr. Louis-Philippe Morency are his thesis advisors during his PhD at Carnegie Mellon University, which he received in 2017 under the guidance of DDr. Alexander Hauptmann and Dr. Teruko Mitamura. Throughout his internships at Yahoo, Google, and Microsoft Research, he was mentored by several experts 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 his internships, he worked as a research assistant at Xi'an Jiaotong University under the supervision of Dr. Jun Liu.

Honors and Awards

  • Best paper finalist at CVPR, 2022
  • AI 2000 Most Influential Scholar, 2021
  • Best paper nomination at ACL, 2019
  • 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

Area Chair:

Reviewer/Program Committee:

  • Program Committee member for ACM Multimedia (2013-2022), Author Advocator for ACM Multimedia 2017
  • Reviewer for ICML (2020-2022), CVPR (2017-2023), AAAI (2017-2018, 2021-2023), NeurIPS (2020-2023), ECCV (2018-2022), ICCV (2019-2023), EMNLP 2020, IJCAI 2017

Journal Reviewer:

  • IEEE Transactions on Circuits and System for Video Technology, Journal of Supercomputing, Journal on Signal Processing, Journal on Information Fusion, IEEE Transactions on Multimedia (TMM), Journal of Machine Learning Research (JMLR), Computer Vision and Image Understanding (CVIU), International Journal of Automation and Computing, Electronic Commerce Research and Applications (ECRA), International Journal of Automation and Computing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), ACM Transactions on Multimedia Computing, Communications and Applications (TOMM)


  • AI panelist for America's Seed Fund (NSF SBIR)
  • Google Faculty Award Committee
  • Google Research Collabs Reviewing Committee
  • Google Research Hiring Committee


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