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Lu Jiang

Research Scientist
Google AI
lujiang [at] google.com
CV Google Scholar














Greeting! I am a senior research scientist at Google Research. I obtained my Ph.D. at Carnegie Mellon University. My CV can be found here. My research goal is to solve the real problem on big multimodal data. My research area is in the interdisciplinary area of Machine Learning, Computer Vision, and Multimedia, specifically including robust deep learning, video understanding, and vision+language.

news What's New:
  • [2019/11] Co-orgnize two workshops in CVPR 2020: (1) AI for Content Creation (2) Language and Vision with applications to Video Understanding
  • [2019/09] Serve as the review panelist for NSF SBIR/STTR
  • [2019/07] Our work on robust learning for machine translation has been named as the best paper candidate in ACL 2019 (1% of all submitted long papers).
  • [2019/05] Our code for Composing Text and Image for Image Retrieval (CVPR 2019) is now on GitHub. It shows a new task of using vision and language research for retrieval.
  • [2019/05] Our code for future activity prediction (CVPR 2019) is now available. It is the first and currently the best model for joint path and activity prediction. Check out this cool demo video.
  • [2019/05] Our code for Eidetic-3D LSTM (ICLR 2019) is now on GitHub. It obtains a new state-of-the-art of self-supervised video learning.
Archived News:
  • [2019/03] Give two guest lectures (LTI-11-775) on vision + language at Carnegie Mellon University.
  • [2019/03] Serve as an area chair for ACM Multimedia 2019.
  • [2019/01] The code for our graph distillation (ECCV 2018) is now on GitHub.
  • [2018/12] Check out our MemexQA dataset published in TPAMI 2019.
  • [2018/09] Dealing with noisy data in deep learning? Check out our code for ICML 2018.
  • [2018/07] Check out our code for visual question answering over sequence data (CVPR 2018)
  • [2018/03] Congrats to my intern Zelun (Alan) Luo, co-hosted with Juan Carlos for receiving Ph.D. offers from top universities (MIT/Stanford/UC Berkeley/CMU).