Tsinghua University | School

Ji Lin is a research scientist at OpenAI working on multimodal models, reasoning, and synthetic data. He previously completed his Ph.D. and M.Sc. in EECS at MIT under Song Han, earned a B.Eng. in Electronic Engineering from Tsinghua University, and has interned or worked at Adobe Research, OmniML, and NVIDIA Research.

CEO of Sand AI. His homepage describes prior work leading multimodal and vision research at BAAI and serving as a senior researcher at Microsoft Research Asia.

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

Juntang Zhuang leads pretraining at xAI and previously worked at OpenAI. His homepage highlights Grok pretraining work and contributions to GPT-4o, GPT-4 Turbo long-context, DALL-E 3, and OpenAI embeddings.

Tong Wu is a researcher at BIGAI in Beijing. His homepage says he works on diffusion language models, long context, and long sequence generation, and that he holds a master's from Tsinghua University and a bachelor's from Beijing Institute of Technology.

Jifeng Dai is a tenured associate professor in electronic engineering at Tsinghua University and founder of Fundamental Vision. His research spans computer vision, deep learning, multimodal learning, and autonomous driving. He previously worked at Microsoft Research Asia and SenseTime Research, and he received both his bachelor's and PhD degrees from Tsinghua University.

Jifeng Dai is a tenured associate professor in the Department of Electronic Engineering at Tsinghua University. His homepage says his current research focuses on agentic AI and continual learning, and lists prior roles at Shanghai AI Lab, SenseTime Research, and Microsoft Research Asia.

Research Principal at Meta Superintelligence Labs. He previously led the strategic explorations team at OpenAI and is known for foundational work on score-based diffusion models.

Claire Cui is a Google Fellow in the Google Brain team, where she leads research on deep generalist learning, large language models, multimodal learning, and interpretable AI. During her tenure at Google she helped found AdSense for Content and co-founded Google Health Research and Medical Brain; she holds a Ph.D. in computer science from Stanford and a B.S. in computer science from Tsinghua University.

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.

Pengyu Cheng is a researcher at Alibaba Group leading reinforcement-learning training for the Qwen large-model application team. His homepage also lists prior work with Moonshot AI and Tencent's Hunyuan large-model team.

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.

Hao Yang works on multimodal data infrastructure at Moonshot.ai. He previously worked at ByteDance ICVG and Microsoft Research Asia, and received BS and PhD degrees from Tsinghua University.

Jin Xu's homepage says he leads the audio group at Qwen Team, Alibaba, working on audio understanding, real-time multimodal interaction, speech synthesis, general audio synthesis, and audio-centered chat models. He previously completed a Ph.D. at IIIS, Tsinghua University and received a BSc in 2018 from Beijing University of Posts and Telecommunications.

AI researcher and former OpenAI scientist who became chief scientist of Meta Superintelligence Labs in July 2025; public academic sources also show earlier Stanford and Tsinghua training.

Chuanqi Tan's homepage says he received a PhD from Tsinghua University in July 2019, is currently focused on LLM research and applications, and is also a postdoctoral fellow at the University of Hong Kong.

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.

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.

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.

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.

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.

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.

Can Cao is a Ph.D. student at Tsinghua University advised by Ming Zhou and Yuxuan Wang. The homepage says Can Cao received a bachelor's degree from Tsinghua University in 2022, previously interned at Microsoft Research Asia in summer 2022 and Meta AI in summer 2025, and studies large language models with a focus on pre-training, reasoning, agents, post-training, and multimodal learning.

Assistant Professor in Penn CIS, a primary GRASP faculty member, and a member of the ASSET Center; he also works part-time as a Staff Research Scientist at Apple MLR on multimodal generative models, reasoning, and embodied AI.

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.

Public profiles describe Wenchao Zhou as Director of Data Product and Data Analytics at Alibaba Cloud Intelligence and a former tenured computer science faculty member at Georgetown University. His work centers on databases and distributed systems.

Jiatao Gu is an assistant professor in the University of Pennsylvania Department of CIS and a primary faculty member of GRASP Lab and the ASSET Center. His homepage also states that he works part-time as a staff research scientist at Apple ML Research after earlier work at Meta AI.

Yutao Sun is a fifth-year Ph.D. student at Zhejiang University supervised by Minlie Huang. The homepage says Yutao Sun has been a visiting student researcher at Stanford University since September 2023 under Tatsunori Hashimoto, earned a bachelor's degree from Tsinghua University in 2019, and studies code generation, code agents, execution feedback, and reasoning in large language models.

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.

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.

Senior Staff Research Scientist and Tech Lead Manager at Google DeepMind Robotics, focused on embodied agents and foundation models for robot decision-making.

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.

PhD student in Computer Science and Technology at Tsinghua University with public research interests in machine learning, natural language processing, and large language models.

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.

Ji Lin

Yue Cao

Hang Zhu

Juntang Zhuang

Tong Wu

Jifeng Dai

Jifeng Dai

Yang Song

Claire Cui

Huarong Chen

Pengyu Cheng

Daogao Liu

Xingyan Bin

Yujia Qin

Hao Yang

Jin Xu

Shengjia Zhao

Chuanqi Tan

Qiying Yu

Weinan Dai

Wenyi Hong

Tenglong Ao

Rui Yang

Yining Ye

Can Cao

Jiatao Gu

Xinchen Zhang

Wenchao Zhou

Jiatao Gu

Yutao Sun

Wenchang Ma

Zhengzhuo Xu

Chenggang Li

Jie Tang

Heng Ji

Yuhua Jiang

Hongli Yu

Zhipeng Chen

Zhuofan Zheng

Fei Xia

Qi Hou

Xijin Zhang

Jiafan He

Chaoyi Deng

Kaiyuan Chen

Yuzi Yan

Tao Peng