Changxi Chi Computer Science and Technology Zhejiang University & Westlake University Email: chichangxi@westlake.edu.cn

👋 Hi there!

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.

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✨ 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.

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🚀 Internship Opportunities 🚀 I am also seeking internship opportunities in video generation, multimodal LLMs (MLLM), and embodied AI.

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If you are interested, please feel free to contact me directly via email.

📰 News ^✨

• (2026.2) One paper is accepted in CVPR2026.
• (2026.1) Three paper (one first-author) is accepted in ICLR2026.
• (2025.11) One first-author paper is accepted in AAAI2026.
• (2025.9) One paper is accepted in NeurIPS2025.
• (2025.4) One first-author paper is accepted in IJCAI2025.
• (2025.2) One paper is accepted in CVPR2025.

📚 Selected Publications

🔗 Discover the full list

• 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.