Changxi Chi

According to our database, Changxi Chi authored at least 10 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Improving Diffusion Generalization with Weak-to-Strong Segmented Guidance.

Liangyu Yuan, Yufei Huang, Mingkun Lei, Tong Zhao, Ruoyu Wang, Changxi Chi, Yiwei Wang, Chi Zhang

CoRR, March, 2026

Refold: Refining Protein Inverse Folding with Efficient Structural Matching and Fusion.

Yiran Zhu, Changxi Chi, Hongxin Xiang, Wenjie Du, Xiaoqi Wang, Jun Xia

CoRR, March, 2026

VitaMol: Lightweight molecular modality expansion in discrete space for multi-task transfer learning.

Yunfan Liu, Zhifeng Gao, Lirong Wu, Jingbo Zhou, Tongyue Xu, Cheng Tan, Yufei Huang, Changxi Chi, Chang Yu, Stan Z. Li

Pattern Recognit., 2026

VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention.

Jingbo Zhou, Jun Xia, Siyuan Li, Yunfan Liu, Wenjun Wang, Yufei Huang, Changxi Chi, Mutian Hong, Zhuoli Ouyang, Shu Wang, Zhongqi Wang, Xingyu Wu, Chang Yu, Stan Z. Li

Proceedings of the ACM Web Conference 2026, 2026

Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges.

Changxi Chi, Yufei Huang, Jun Xia, Jiangbin Zheng, Yunfan Liu, Zelin Zang, Stan Z. Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation.

Jiabei Cheng, Changxi Chi, Jingbo Zhou, Hongyi Xin, Jun Xia

CoRR, October, 2025

Unlasting: Unpaired Single-Cell Multi-Perturbation Estimation by Dual Conditional Diffusion Implicit Bridges.

Changxi Chi, Jun Xia, Yufei Huang, Jingbo Zhou, Siyuan Li, Yunfan Liu, Chang Yu, Stan Z. Li

CoRR, June, 2025

GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype.

Changxi Chi, Jun Xia, Jingbo Zhou, Jiabei Cheng, Chang Yu, Stan Z. Li

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Multi-modal Topology-embedded Graph Learning for Spatially Resolved Genes Prediction from Pathology Images with Prior Gene Similarity Information.

Hang Shi, Changxi Chi, Peng Wan, Daoqiang Zhang, Wei Shao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Spatially Resolved Gene Expression Prediction from Histology via Multi-view Graph Contrastive Learning with HSIC-bottleneck Regularization.

Changxi Chi, Hang Shi, Qi Zhu, Daoqiang Zhang, Wei Shao

CoRR, 2024