Qi She (佘琪)

About / 关于我

Qi She (佘琪) is leading the Applied Algorithm team in Business Integrity at ByteDance, focusing on multimodal Large Language Models, Machine Learning and Computer Vision in real-world AI products. Previously, he was a Research Scientist at Intel Labs, working on statistical machine learning, deep learning and lifelong robotic vision.

Recent Focus / 当前工作方向

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 / 动态

Selected recent news and activities since 2020.

2024

2024-02 Invited as a reviewer for ICML 2024.

2023

2023-08-25 Invited as a reviewer for ICLR 2024.
2023-08-01 Paper Our work "Background-aware Classification Activation Map for Weakly Supervised Object Localization" is accepted into IEEE TPAMI 2023.
2023-03-28 Invited as a reviewer for NeurIPS 2023.
2023-01-29 Invited as a reviewer for ICML 2023.

2022

2022-11-02 Invited as a reviewer for CVPR 2023.
2022-07-30 Invited as a reviewer for ICLR 2023.
2022-05-15 Paper Our work "PDO-e3DCNNs" is accepted into ICML 2022.
2022-03-03 Paper We have 3 papers accepted into CVPR 2022.
2022-02-16 Paper "Newton Design: Designing CNNs with the Family of Newton's Methods" is accepted into Science China (Information Sciences).

2021

2021-07-24 Paper We have 3 papers accepted into ICCV 2021.
2021-07-23 Invited as a reviewer for ACM MM 2021 industrial track.
2021-06-13 Invited as a reviewer for ICLR 2022.
2021-04-12 Paper "An Efficient and Flexible Spike Train Model via Empirical Bayes" is accepted into IEEE TSP.
2021-04-06 Invited as a reviewer for NeurIPS 2021.
2021-03-04 Paper We have 3 papers accepted into CVPR 2021.

2020

2020-12-14 Workshop proposal "Continual Learning in Computer Vision" is accepted by CVPR 2021 (selected from 109 proposals).
2020-12-09 Invited as an expert reviewer for ICML 2021.
2020-11-24 Paper Our survey "Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy" is accepted by ACM Computing Surveys.
2020-08-14 Joined ByteDance AI Lab as a Research Scientist.

Older News / 更早的动态（2016–2020）

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 / 奖项

2024-03 Bytedance Monetization Product and Technology Q4 Inspire Award (团队奖).
2023-09 Bytedance Monetization Product and Technology Q2 Inspire Award (团队奖).
2021 3rd Place (3/383) in Google Landmark Recognition 2021, the kaggle competition.
2020 Recognized as top 10% high-scoring reviewer at NeurIPS 2020.
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, famous for 摩尔定律).
2018-2020 5 times Intel China Awards (2018 Q4、2019 Q1、2019 Q3、2020 Q1、& 2020 Q2).
2016 2nd place in the 10th Global Artificial Intelligence Hackathon by Korea ministry of ICT.
2016 Outstanding Academic Performance Award.