About

I am a Postdoctoral Researcher at THU-AIR and a Neuroscience PhD graduate from the IDG/McGovern Institute for Brain Research, Tsinghua University. Driven by a passion for AI4Science, my research focuses on using unsupervised learning and synthetic data to solve complex pharmaceutical and biological problems. See more about me via Timeline

Work and Education

Research Highlights

Deep contrastive learning enables genome-wide virtual screening.

Yinjun Jia†, Bowen Gao†, Jiaxin Tan†, Jiqing Zheng†, Xin Hong†, Wenyu Zhu, Haichuan Tan, Yuan Xiao, Liping Tan, Hongyi Cai, Yanwen Huang, Zhiheng Deng, Xiangwei Wu, Yue Jin, Yafei Yuan, Jiekang Tian, Wei He, Weiying Ma, Yaqin Zhang, Lei Liu*, Chuangye Yan*, Wei Zhang*, Yanyan Lan* (Co-first Author)

Science 2026 Demo GitHub Paper

Manipulating 3D Molecules in a Fixed-Dimensional E(3)-Equivariant Latent Space.

Zitao Chen†, Yinjun Jia†*, Zitong Tian†, Wei-Ying Ma, Yanyan Lan* (Co-first and Co-corresponding Author)

NeurIPS 2025 GitHub Paper

Selfee, self-supervised features extraction of animal behaviors

Yinjun Jia*, Shuaishuai Li, Xuan Guo, Bo Lei, Junqiang Hu, Xiao-Hong Xu, Wei Zhang* (Co-corresponding Author)

eLife 2022 GitHub Paper