ByteDance Seed

Hang Zhu is a Research Scientist at ByteDance Seed focused on LLM infrastructure, including large-scale pre-training and post-training systems.

Renjie Zheng is a researcher at ByteDance. His public OpenReview profile lists prior research experience at Baidu Research and earlier study at Oregon State University and Tongji University, with public work spanning NLP, language models, and reasoning-related research.

Xiangpeng Wei is an algorithm engineer at ByteDance Seed whose public research profile spans large language models, multimodal applications, and multilingual NLP.

Yuwen Xiong is a Research Scientist at ByteDance Seed in the Bay Area. He received a Ph.D. from the University of Toronto's Machine Learning Group and previously worked at Waabi and Uber ATG.

Feida Zhu is a ByteDance researcher in computer vision. Public sources show prior roles at Tencent Youtu Lab and Nanyang Technological University, and a PhD in Computer Science from The University of Hong Kong.

Yong Shan is a ByteDance researcher whose public profiles and publication record indicate work across LLMs, neural machine translation, dialogue systems, and music generation.

Public sources identify Can Huang as a ByteDance researcher. OpenReview lists prior research work at Intsig Information Co. Ltd., master's study at Shanghai Jiao Tong University, and undergraduate study at Xi'an Jiaotong University.

Weihao Yu is a researcher in computer vision, multimodal AI, and neural architecture design. Public profiles show PhD and postdoctoral work at the National University of Singapore, a 2025 Research Scientist role at ByteDance Seed, and a 2026 appointment at Peking University Shenzhen Graduate School.

Jian-Hui Duan is an algorithm researcher in the ByteDance Seed LLM team whose public homepage highlights work on pretraining data, training optimization, and distribution-shift mitigation for large language models.

Public profiles and publication indexes link Xingyan Bin to ByteDance research work and Tsinghua University, with papers in recommendation, retrieval, MoE models, and LLM pre-training/quantization.

Zhiqi Lin is publicly listed on OpenReview as a researcher at ByteDance Inc. OpenReview also lists prior computer science study at the University of Science and Technology of China, with undergraduate study from 2015 to 2019 and PhD study from 2019 to 2024.

Rui Qian is a researcher at ByteDance Seed. Qian received a Ph.D. from The Chinese University of Hong Kong and a bachelor's degree from Shanghai Jiao Tong University in 2021.

Yujia Qin focuses on LLM/VLM-based agents. The official homepage lists a Ph.D. in Computer Science from Tsinghua University (2020-2024), a B.E. in Electronic Information Science and Technology from Tsinghua University (2016-2020), and Seed at ByteDance starting in July 2024.

Guanghan Ning is a ByteDance researcher whose public homepage says he switched to foundation models at the beginning of 2023, especially code LLMs, after earlier work in computer vision and deep learning.

Qi Liu is a ByteDance researcher whose public OpenReview profile lists prior research work at Horizon Robotics and studies at Fudan University and Huazhong University of Science and Technology. Public expertise areas include multimodal large language models, gesture recognition, metric learning, and deep learning.

Qiyang Min is a researcher at ByteDance Inc. whose public profiles and publication record indicate work on large language models, memory-augmented architectures, and related model systems. OpenReview lists prior research experience at Baidu and undergraduate study in software engineering at Nanjing University.

Xianhan Zeng is a researcher at ByteDance. Public OpenReview records list prior work at Tencent AI Lab and public publications spanning detailed image captioning, large language models, reinforcement learning, and human-agent collaboration.

Yifan Du is a Ph.D. student at Renmin University of China advised by Wayne Xin Zhao. His public homepage lists research interests in multimodal large language models, visual instruction tuning, long video understanding, and complex visual reasoning, and it lists a VLM post-training internship at ByteDance Seed.

Chenwei Lou is a researcher at ByteDance Seed. Public profiles indicate earlier research experience at Tencent, an MS period at Harbin Institute of Technology, and earlier undergraduate study at Jilin University.

Research scientist at ByteDance Seed and final-year PhD student at the University of Toronto.

Jiangjie Chen is a researcher at ByteDance Seed. He earned a Ph.D. in computer science from Fudan University in 2024 and works on reasoning models, autonomous agents, and machine reasoning.

Qiying Yu is a PhD student at the Institute for AI Industry Research (AIR), Tsinghua University, working on self-supervised learning and multimodal large models.

Yongfei Liu is a researcher whose public profiles list interests in CodeLLM, generative multimodality, and vision-language research. His homepage says he completed a joint PhD program at the University of Chinese Academy of Sciences and ShanghaiTech University in 2022 after a bachelor's degree from Xidian University in 2017.

Ziheng Jiang is an AI researcher working on large language models and machine learning systems. His public homepage says he is a Principal AI Researcher at Meta and previously was a Principal Research Scientist at ByteDance.

Hang Zhu

Renjie Zheng

Xiangpeng Wei

Yuwen Xiong

Feida Zhu

Yong Shan

Can Huang

Weihao Yu

Jianhui Duan

Xingyan Bin

Zhiqi Lin

Rui Qian

Yujia Qin

Guanghan Ning

Qi Liu

Qiyang Min

Xianhan Zeng

Yifan Du

Chenwei Lou

Shiyu Tian

Jiangjie Chen

Qiying Yu

Yongfei Liu

Ziheng Jiang