Lu Jiang

Research Scientist
Google AI
lujiang [at]
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 AutoML, video understanding and vision+language.

news What's New:
  • [2019/05] Our work on robust learning for machine translation was accepted by ACL 2019.
  • [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.
  • [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)