We use the tools of statistical inference and large-scale computing to deal with uncertainty and information in various domains, including text mining, image & video processing, network...

Alumni Xingxing Wei, Postdoc, (graduated in 2019, now Associate Professor at BUAA) Chao Du, PhD, (graduated in 2019, now at Ali) Jingwei Zhuo, PhD, (graduated in 2019, now at Ali) Chang Liu, PhD, (graduated in 2019, now at MSRA) Tongzheng Ren, Undergraduate, (graduated in 2019, now PhD at UT Austin) Juzheng Li, PhD, (graduated in 2018) Zihao Xiao, Master, (graduated in 2018, now at RealAI ...

TSAIL focuses on biomarker discovery activities, exploratory clinical sample testing and new technology evaluation. The scientific team includes experts in anatomic pathology, flow cytometry, genomics, bioinformatics, and immunoassays including cell-based assay.

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness. An elegant PyTorch deep reinforcement learning library. SpargeAttention: A …

My research focuses on developing statistical machine learning methods to understand complex scientific and engineering data. My current interests are in probabilistic machine learning,...

At Q2 Solutions, our dedicated, state-of-the-art Translational Science and Innovation Laboratory (TSAIL) is designed to address these challenges, provide the agility and breadth of translational science capabilities and expertise required to bridge the gap.

I’m a PhD student from TSAIL (Fall 2025), advised by Prof. [Jun Zhu], and closely collaborate with Prof. [Yinpeng Dong]. I have a keen interest in the physics of machine learning.

I am a fourth-year PhD student of TSAIL Group in the Department of Computer Science and Technology, Tsinghua University, advised by Prof. Jun Zhu and Prof. Hang Su. Currently, I am also a research intern at Nvidia Deep Imagination Research group in the San Francisco Bay Area.

At IQVIA Laboratories, our dedicated, state-of-the-art Translational Science and Innovation Laboratory (TSAIL) is designed to address these challenges and provide the agility and breadth of translational science capabilities and expertise required to bridge the gap between preclinical and early clinical drug development and to introduce new ...

RDT（Robotics Diffusion Transformer）是清华大学AI研究院TSAIL团队推出的全球最大的双臂机器人操作任务扩散基础模型。 RDT具备十亿参数量，能在无需人类操控的情况下，自主完成复杂任务，如调酒和遛狗。