Deep Learning Researher

I am currently a research scientist at ByteDance, focusing on applying machine learning and computer vision techniques in Bytedance AI products. Before that, I was a research scientist at Intel Labs.

[Hiring!] Recruiting scientists, engineers, and research/engineering interns in machine learning or computer vision at Beijing, Shanghai and Singapore. Feel free to contact me !

[Call for paper!] CVPR 2021 workshop on continual learning in computer vision.

News

  • [2021-07-24] [Paper] We have 3 paper accepted into ICCV 2021 !

  • [2021-07-23] I am invited as the reviewer for ACM MM 2021 industrial track.

  • [2021-06-13] I am invited as the reviewer for ICLR 2022.

  • [2021-04-12] [Paper] Our paper “An Efficient and Flexible Spike Train Model via Empirical Bayes” has be accepted into IEEE Transactions on Signal Processing (TSP).

  • [2021-04-06] I am invited as the reviewer for NeurIPS 2021.

  • [2021-03-04] [Paper] We have 3 paper accepted into CVPR 2021 !

  • [2020-12-14] Our workshop proposal “Continual Learnig in Computer Vision” has been accepted by CVPR 2021, which is selected out of 109 proposals.

  • [2020-12-09] I am invited as the expert reviewer for ICML 2021.

  • [2020-11-24] [Paper] Our paper “Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy” has been accepted by ACM Computing Surveys. The journal is ranked 3/221 in Computer Science Theory & Methods (Impact Factor: 7.99):

  • [2020-10-21] I am pleased to receive the recognition of top 10% high-scoring reviewers from NeurIPS 2020.

  • [2020-08-14] I join the Bytedance AI Lab as a research scientist.

  • [2020-06-14] We have successfully organized the 1st “Continual Learning in Computer Vision” workshop at CVPR 2020.

  • [2020-06-10] [Paper] Our paper “IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge [Competitions]” has been published at IEEE Robotics & Automation Magazine. The journal is one of four top-tier journals in robotics field.

  • [2020-06-01] [Paper] Our paper is accepted as the Oral presentation at the conference of Uncertainty in Artificial Intelligence (UAI).

  • [2020-05-22] [Paper] Our paper “Synthetic-Neuroscore: Using a neuro-AI interface for evaluating generative adversarial networks” has been accepted by Neurocomputing.

  • [2020-01-22] [Paper] We have 2 papers regarding lifelong robotic vision accepted by ICRA 2020.

Awards

  • 5 times Intel China Awards, 2018-2020
  • Annual Intel Labs Gordy Awards (the highest annual research award named after Intel’s co-founder Gordon Earle Moore, 戈登·摩尔奖), 2020
  • 2nd place in the 10th Global Artificial Intelligence Hackathon by Korea ministry of ICT, 2016
  • Outstanding Academic Performance Award, 2016