About / 关于我
Qi She (佘琪) leads the Applied Algorithm & Foundation team at ByteDance Business Integrity, where he spearheads the large-scale industrialization of Multimodal Large Language Models (MLLMs) and Agentic Foundation capabilities. Since 2023, his work has focused on the end-to-end deployment of AI Agents.
A 2018 Ph.D. graduate from City University of Hong Kong and a former visiting scholar at Princeton, Qi was honored with the 2025 CityU Young Alumni Award for his professional excellence. Previously, as a Research Scientist at Intel Labs, he received the 2020 Intel Gordy Award—the lab’s highest honor named after Gordon Moore. His long-term research in Generative Models and Representation Learning has been extensively published in premier venues including TPAMI, NeurIPS, ICLR，ICML, CVPR, and ICCV.
Recent Focus / 工作方向
Focusing on the industrial-scale deployment of Agentic AI within ByteDance’s Business Integrity ecosystem:
- Architecting Agentic Foundations: Developing specialized (M)LLMs optimized for reasoning, planning, and autonomous decision-making in high-stakes security scenarios.
- Scaling Autonomous Agents: Leading the end-to-end integration of Multi-Agent systems to handle massive real-time traffic, ensuring robustness and alignment with evolving safety policies.
- Advancing MLLM-Agent Synergy: Pioneering the fusion of (M)LLMs with agentic workflows to solve complex, fine-grained content understanding challenges at scale.
[Hiring!] Recruiting scientists, engineers, and research/engineering interns in Multi Modal Large Language Model & Agentic AI Fooundation at Beijing, Shanghai, Singapore and San Jose～ 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（长期有效）
- [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（长期有效）
News / 动态
- Selected recent news and activities since 2020.
2025
- 2025-08 🚀 Our team is pushing the boundaries of Agentic AI foundation! We are focusing on the large-scale industrialization of autonomous agents and MLLMs for complex Business Integrity scenarios.
- 2025-06 🎉 Honored to receive the 2025 CityU Young Alumni Award! Grateful to my alma mater, CityU EE, for this recognition of my journey from research to industry.
2024
- 2024-02 📢 Invited as a reviewer for ICML 2024.
2023
- 2023-12 🛠️ Excited to share that I am now leading the Applied Algorithm & Foundation team at ByteDance Business Integrity.
- 2023-08 📄 Our work "Background-aware Classification Activation Map for Weakly Supervised Object Localization" is accepted into IEEE TPAMI 2023.
- 2023-08 📢 Reviewer service: ICLR 2024, NeurIPS 2023, ICML 2023.
2022
- 2022-11 📢 Reviewer service: CVPR 2023, ICLR 2023.
- 2022-05 📄 Our work "PDO-e3DCNNs" is accepted into ICML 2022.
- 2022-03 📄 We have 3 papers accepted into CVPR 2022.
- 2022-02 📄 "Newton Design: Designing CNNs with the Family of Newton's Methods" is accepted into Science China (Information Sciences).
2021
- 2021-07 📄 We have 3 papers accepted into ICCV 2021.
- 2021-07 📢 Reviewer service: ACM MM 2021 (industrial track), ICLR 2022, NeurIPS 2021.
- 2021-04 📄 "An Efficient and Flexible Spike Train Model via Empirical Bayes" is accepted into IEEE TSP.
- 2021-03 📄 We have 3 papers accepted into CVPR 2021.
2020
- 2020-12 📢 Workshop proposal "Continual Learning in Computer Vision" is accepted by CVPR 2021 (selected from 109 proposals).
- 2020-12 📢 Invited as an expert reviewer for ICML 2021.
- 2020-11 📄 Our survey "Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy" is accepted by ACM Computing Surveys.
- 2020-08 📢 Joined ByteDance AI Lab as a Research Scientist.
Older News / 更早的动态（2016–2020）
- 2020-06 📢 We have successfully organized the 1st "Continual Learning in Computer Vision" workshop at CVPR 2020.
- 2020-06 📄 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 📄 Our paper is accepted as the Oral presentation at the conference of Uncertainty in Artificial Intelligence (UAI).
- 2020-05 📄 Our paper "Synthetic-Neuroscore: Using a neuro-AI interface for evaluating generative adversarial networks" has been accepted by Neurocomputing.
- 2020-01 📄 We have 2 papers regarding lifelong robotic vision accepted by ICRA 2020.
🏆 Awards / 奖项
- 2024 ByteDance Monetization Product and Technology Q4 Inspire Award (团队奖).
- 2023 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.