ByteDance Seed

Zihan Wang is a Northwestern University PhD candidate advised by Manling Li whose research focuses on agentic reinforcement learning, model efficiency, and long-context understanding. His official homepage lists prior internships at DeepSeek, Microsoft, and Yutori.

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.

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.

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.

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

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

Shengding Hu is a final-year PhD student in the Department of Computer Science and Technology at Tsinghua University. His public homepage describes research on scalable pretraining, reinforcement learning, world models, large language models, and embodied agents.

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.

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.

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.

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.

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.

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.

Public profiles identify Shihan Dou as a PhD student at Fudan University. His publication record covers LLM alignment and reward or preference modeling, with additional work on code intelligence and document parsing.

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.

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.

MS student at Peking University's Wangxuan Institute of Computer Technology working on visual reasoning, VLM, OCR, and handwritten mathematical expression recognition.

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.

Zihan Wang

Hang Zhu

Renjie Zheng

Yuwen Xiong

Feida Zhu

Can Huang

Weihao Yu

Xiangpeng Wei

Yong Shan

Shengding Hu

Jianhui Duan

Rui Qian

Xingyan Bin

Yujia Qin

Zhiqi Lin

Guanghan Ning

Qi Liu

Qiyang Min

Shihan Dou

Yifan Du

Chenwei Lou

Jiangjie Chen

Jianhua Zhu

Qiying Yu