Tsinghua University

Researcher focused on computer vision, multimodal learning, and generative AI. His public homepage says he is currently with Stepfun, after serving as a principal scientist at SenseTime Research and a researcher at Microsoft Research Asia, and that he earned a PhD in computer science from Tsinghua University.

Researcher at DeepSeek AI interested in generative models, large language models, multimodal learning, and computer vision. He is pursuing a PhD in electrical engineering at Stanford University after earning a bachelor's degree from Tsinghua University, and has also worked at Meta AI and Google.

Research scientist at Google DeepMind focused on embodied AI and robotics. His homepage highlights work on skill acquisition, motion planning, world models, and imitation learning.

PhD student at the University of Chinese Academy of Sciences and researcher at BIGAI focused on reasoning, long context, and diffusion models; previously interned at DeepSeek, Microsoft Research Asia, and IDEA Research.

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

Yiheng Xu is a research scientist focused on multimodal AI, coding agents, and reasoning systems. His public profiles link him to Qwen research and later work at OpenAI, with publications spanning vision-language models and code 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.

Daogao Liu's homepage says he is currently a visiting postdoctoral researcher at Google. It says his research focuses on machine learning and theoretical computer science, especially differential privacy, stochastic optimization, and algorithm design.

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.

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.

Tenglong Ao is a computer science researcher whose public work focuses on character animation, co-speech gesture generation, music-driven dance generation, and multimodal agent behavior. Public sources indicate he received a Ph.D. in computer science from Peking University and a B.S. in electronic engineering from Tsinghua University.

Wenyi Hong's homepage says she is a fourth-year PhD student in Computer Science at Tsinghua University, supervised by Jie Tang, with research focused on multimodal foundation models.

Rui Yang is a PhD student at The University of Hong Kong. Public OpenReview and DBLP records link him to research on multimodal large language models, language agents, and vision-language systems, including GPT4Tools, HaploVL, and Visual Spatial Tuning.

Weinan Dai is a PhD student in Computer Science and Technology at Tsinghua University. Public profiles and publications link him to research on large language models, reasoning, and reinforcement learning, including Seed1.5-Thinking, DAPO, MemAgent, and Enigmata.

Yining Ye (叶奕宁) is a master's student in the THUNLP Lab at Tsinghua University advised by Zhiyuan Liu. Public profiles describe research on LLM/VLM agents, tool learning, and unified language models.

Technical staff member on Moonshot AI's agent team whose public OpenReview profile lists work across deep learning, natural language processing, large language models, vision-language models, and agents.

Xinchen Zhang is a master's student at Tsinghua University and a research intern at ByteDance Seed. His public profiles describe research on multimodal large language models, reinforcement learning for multimodal post-training, and earlier work on diffusion-based text-to-image generation.

Assistant professor in the University of Pennsylvania Department of Computer and Information Science whose research spans natural language processing, speech, and multimodal learning; previously a research scientist at Facebook AI Research.

Public sources attribute Wenchang Ma to publications at EMNLP 2021, ICLR 2023, WWW 2024, and ACM TOIS 2024. OpenReview lists prior study at Tsinghua University and the National University of Singapore.

Public profiles list Zhengzhuo Xu as a PhD student at Tsinghua University (2023-2026), after an MS at Tsinghua (2020-2023). His publication record includes work on chart understanding, visual language modeling, and long-tailed recognition.

Publicly listed as a ByteDance researcher focused on large language models, with Tsinghua University education history, and as an author on ByteDance Seed's Seed1.5-VL and Seed1.5-Thinking reports.

Jie Tang works on artificial general intelligence, data mining, machine learning, and knowledge graphs, and is an author on the GLM-OCR Technical Report.

Heng Ji is a professor of computer science at the University of Illinois Urbana-Champaign and founding director of the Amazon-Illinois Center on AI for Interactive Conversational Experiences (AICE). Her research focuses on natural language processing, information extraction, knowledge-enhanced large language models, and vision-language models.

Chuanqi Tan works on LLM research and applications. His personal homepage says he earned a PhD from Tsinghua University in 2019 and is also a postdoctoral fellow at The University of Hong Kong.

Yuhua Jiang is a PhD student in the Department of Automation at Tsinghua University, advised by Qianchuan Zhao, whose public profile focuses on reinforcement learning and recent LLM-related RL methods.

Hongli Yu is a PhD student at the Institute for AI Industry Research, Tsinghua University. Public records also show prior undergraduate study in Computer Science and Technology at Harbin Institute of Technology and authorship on the ByteDance Seed report Seed1.5-Thinking.

Public sources identify Zhipeng Chen as a ByteDance engineer with earlier Baidu experience and PhD training in Electronic Engineering at Tsinghua University. Speech recognition is listed as an expertise area, and he is also listed as an author on the Seed1.5-VL technical report.

Zhuofan Zheng is a ByteDance artificial intelligence researcher publicly listed on OpenReview, with undergraduate study at Tsinghua University from 2017 to 2021 and MS study there from 2021 to 2024. Zhuofan Zheng is also listed as an author of the Seed1.5-VL Technical Report.

Qi Hou is a researcher at AML, ByteDance Inc. Public OpenReview information also lists prior MS study in Electronic Engineering at Tsinghua University.

Public sources identify Xijin Zhang as a researcher with a confirmed @bytedance.com OpenReview profile. That profile lists MS studies at Tsinghua University from 2014 to 2017 and undergraduate studies at Xi'an University of Electronic Science and Technology from 2010 to 2014.

Jiafan He's public homepage identifies him as a UCLA PhD student advised by Quanquan Gu, with research focused on machine learning, reinforcement learning, and optimization.

Chaoyi Deng is listed on Mingsheng Long's official Tsinghua University page as a Tsinghua undergraduate from 2019 to 2023 and a master's student from 2023 to 2026. Public sources also list Deng as a coauthor of the NeurIPS 2023 paper "Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning" and the ByteDance Seed "Seed1.5-VL Technical Report."

Kaiyuan Chen is a researcher at ByteDance Seed. Public sources also list him as a former MS student in the School of Software at Tsinghua University and index his ICML 2024 paper CogDPM.

Publicly listed on OpenReview as Tao Peng, with a publication on compositional reasoning evaluation of large language models and a reported PhD-student history in Tsinghua University's Department of Automation.

Jifeng Dai

Sifan Zhou

Tianhe Yu

Tong Wu

Hang Zhu

Yiheng Xu

Shengding Hu

Liu, Daogao

Xingyan Bin

Yujia Qin

Qiying Yu

Tenglong Ao

Hong, Wenyi

Rui Yang

Weinan Dai

Yining Ye

Huarong Chen

Xinchen Zhang

Jiatao Gu

Wenchang Ma

Zhengzhuo Xu

Chenggang Li

Tang, Jie

Heng Ji

Chuanqi Tan

Yuhua Jiang

Hongli Yu

Zhipeng Chen

Zhuofan Zheng

Qi Hou

Xijin Zhang

He, Jiafan

Chaoyi Deng

Kaiyuan Chen

Tao Peng