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author=Qi She (佘琪);
keywords=Qi She, 佘琪, ByteDance, Applied Algorithm, Agentic AI, Multimodal Large Language Model, Machine Learning, Computer Vision, AI, Research Scientist, Intel Labs, LLM, MLLM, VLM, Seed, I2V, T2V, T2I, Video Generation, Generative AI, AIGC;
author=Qi She;
description=Qi She — Research Scientist at ByteDance. Multimodal LLMs & Agentic AI at scale. PhD CityU HK. 4,637+ citations, H-index 25. 2025 CityU Young Alumni Award.;

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qi she 佘琪 research scientist at bytedance skip to content qi she 佘琪 bytedance research scientist mllms agentic ai aigc homepage publication about me blog 2026 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 4637 citations 25 h index 36 i10 index 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 we re hiring multimodal llm agentic ai foundation roles in beijing shanghai singapore and san jose get in touch 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 正式 多模态大模型算法工程师 应用研究员 sft rm rlhf pretrain agent 框架与应用 实习 多模态大模型 计算机视觉 自然语言处理 算法研究实习生 news 动态 latest 10 selected news and activities 2025 2025 08 our team has been advancing agentic ai foundations at scale driving 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 older news 更早的动态 2016 2021 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 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 blog 博文 scaling mllm powered ai agents for real world industrial applications 2024 06 key lessons from deploying multimodal large language model agents at scale in bytedance s business integrity ecosystem covering architecture choices reliability challenges and what it takes to involution rethinking the core of convolutional neural networks 2021 06 involution introduces a new atomic operation for deep neural networks that inverts the design principles of standard convolution spatial specific and channel agnostic achieving better performan news 2020 12 homepage publication about me blog 2026