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Changxi Chi
Computer Science and Technology |
I’m Changxi Chi (池昌熙). Before joining Westlake, I received my B.E. degree with honors from Nanjing University of Aeronautics and Astronautics. My research interests lie at Generative Model.
✨ Research Collaboration ✨ I am seeking opportunities for research collaboration. My current research focuses on generative modeling for biology (AI4Science), including diffusion, flow matching, and bridge models for single-cell perturbations and cell imaging.
🚀 Internship Opportunities 🚀 I am also seeking internship opportunities in video generation, multimodal LLMs (MLLM), and embodied AI.
If you are interested, please feel free to contact me directly via email.
Changxi Chi, Jun Xia, Yufei Huang, Zhuoli Ouyang et al., Doloris: Dual Conditional Diffusion Implicit Bridges with Sparsity Masking Strategy for Unpaired Single-Cell Perturbation Estimation, International Conference on Learning Representations (ICLR), 2026. 📄 paper
Changxi Chi, Yufei Huang, Jun Xia, Jiangbin Zheng, Yunfan Liu, Zelin Zang, Stan Z. Li, Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges, International Joint Conference on Artificial Intelligence (AAAI), 2026. 📄 paper
Jiabei Cheng, Changxi Chi, Jingbo Zhou, Hongyi Xin, Jun Xia, PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation, Conference on Neural Information Processing Systems (NeurIPS), 2025. 📄 paper
Changxi Chi, Jun Xia, Jingbo Zhou, Jiabei Cheng, Chang Yu, Stan Z. Li, GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype, International Joint Conference on Artificial Intelligence (IJCAI), 2025. 📄 paper
Hang Shi [†], Changxi Chi [†], Peng Wan, Daoqiang Zhang, Wei Shao, Multi-modal Topology-embedded Graph Learning for Spatially Resolved Genes Prediction from Pathology Images with Prior Gene Similarity Information, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. 📄 paper
[†] Equal contribution.