Qi She (佘琪)

Qi She (佘琪)

© 2024

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Recent Focus

I am currently leading Applied Algorithm team in Business Integrity at ByteDance, focusing on applying (Multi Modal) Large Language Model、Machine Learning and Computer Vision techniques in AI products. Before that, I was a research scientist at Intel Labs.

[Hiring!] Recruiting scientists, engineers, and research/engineering interns in Multi Modal Large Language Model at Beijing, Shanghai and Hangzhou ～ Feel free to contact me . 和优秀人才一起探索并落地多模态大模型，在业务场景做深度适配和极致优化，寻找具备出色问题分析与解决能力的候选人:

  • [正式] 多模态大模型算法工程师/应用研究员（SFT/RM/RLHF/Pretrain, Agent框架+应用）招聘中
  • [实习] 多模态大模型、计算机视觉、自然语言处理等「算法研究实习生」招聘中

News

  • [2023-08-25] I am invited as the reviewer for ICLR 2024.

  • [2023-08-01] [Paper] Our work “Background-aware Classification Activation Map for Weakly Supervised Object Localization” is accepted into IEEE Transactions on Pattern Analysis and Machine Intelligence（PAMI 2023） !

  • [2023-03-28] I am invited as the reviewer for NeurIPS 2023.

  • [2023-01-29] I am invited as the reviewer for ICML 2023.

  • [2022-11-02] I am invited as the reviewer for CVPR 2023.

  • [2022-07-30] I am invited as the reviewer for ICLR 2023.

  • [2022-05-15] [Paper] Our work “PDO-e3DCNNs” is accepted into ICML 2022 !

  • [2022-03-03] [Paper] We have 3 paper accepted into CVPR 2022 !

  • [2022-02-16] [Paper] Glad to know that “Newton Design: Designing CNNs with the Family of Newton’s Methods” has been accepted into Science China (Information Sciences).

  • [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.

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  • [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 (IEEE RAM). 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

  • Bytedance Monetization Product and Technolog Q2/Q4 Inspire Award (团队奖), Sept. 2023 & March. 2024
  • 3rd Place (3/383) in Google Landmark Recognition 2021, the kaggle competition
  • 5 times Intel China Awards, 2018 Q4、2019 Q1、2019 Q3、2020 Q1、& 2020 Q2
  • Annual Intel Labs Gordy Awards (the highest annual research award named after Intel’s co-founder Gordon Earle Moore, 戈登·摩尔奖, famous for 摩尔定律), 2020
  • 2nd place in the 10th Global Artificial Intelligence Hackathon by Korea ministry of ICT, 2016
  • Outstanding Academic Performance Award, 2016