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2020 – today
- 2026
[j1]Yunfan Liu
, Zhifeng Gao, Lirong Wu, Jingbo Zhou, Tongyue Xu, Cheng Tan, Yufei Huang, Changxi Chi, Chang Yu, Stan Z. Li:
VitaMol: Lightweight molecular modality expansion in discrete space for multi-task transfer learning. Pattern Recognit. 177: 113319 (2026)- [c4]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. AAAI 2026: 20544-20552 - [c3]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:
VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention. WWW 2026: 1115-1126 - [i8]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:
VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention. CoRR abs/2602.19622 (2026) - [i7]Yiran Zhu, Changxi Chi, Hongxin Xiang, Wenjie Du, Xiaoqi Wang, Jun Xia:
Refold: Refining Protein Inverse Folding with Efficient Structural Matching and Fusion. CoRR abs/2603.14350 (2026) - [i6]Liangyu Yuan, Yufei Huang, Mingkun Lei, Tong Zhao, Ruoyu Wang, Changxi Chi, Yiwei Wang, Chi Zhang:
Improving Diffusion Generalization with Weak-to-Strong Segmented Guidance. CoRR abs/2603.20584 (2026) - 2025
- [c2]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. CVPR 2025: 20810-20819 - [c1]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. IJCAI 2025: 4949-4957 - [i5]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. CoRR abs/2505.03853 (2025) - [i4]Changxi Chi, Jun Xia, Yufei Huang, Jingbo Zhou, Siyuan Li, Yunfan Liu, Chang Yu, Stan Z. Li:
Unlasting: Unpaired Single-Cell Multi-Perturbation Estimation by Dual Conditional Diffusion Implicit Bridges. CoRR abs/2506.21107 (2025) - [i3]Jiabei Cheng, Changxi Chi, Jingbo Zhou, Hongyi Xin, Jun Xia:
PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation. CoRR abs/2510.07964 (2025) - [i2]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. CoRR abs/2511.13124 (2025) - 2024
- [i1]Changxi Chi, Hang Shi, Qi Zhu, Daoqiang Zhang, Wei Shao:
Spatially Resolved Gene Expression Prediction from Histology via Multi-view Graph Contrastive Learning with HSIC-bottleneck Regularization. CoRR abs/2406.12229 (2024)
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