Publications - Li Jiahao

SAVE: A Generalizable Framework for Multi-Condition Single-Cell Generation with Gene Block Attention

Jiahao Li, Jiayi Dong, Peng Ye, Xiaochi Zhou, Haohai Lu, Fei Wang

International Conference on Learning Representations (ICLR), 2026

A generative framework for multi-condition single-cell generation that attends over gene blocks, so the model conditions on coordinated gene programs rather than individual genes.

[Paper] [arXiv] [Code]

SAVE: A Generalizable Framework for Multi-Condition Single-Cell Generation with Gene Block Attention

Jiahao Li, Jiayi Dong, Peng Ye, Xiaochi Zhou, Haohai Lu, Fei Wang

International Conference on Learning Representations (ICLR), 2026

A generative framework for multi-condition single-cell generation that attends over gene blocks, so the model conditions on coordinated gene programs rather than individual genes.

[Paper] [arXiv] [Code]

Conditional causal representation learning for heterogeneous single-cell RNA data integration and prediction

Jiayi Dong, Jiahao Li, Fei Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI), pp. 7392–7400, 2025

[Paper]

Conditional causal representation learning for heterogeneous single-cell RNA data integration and prediction

Jiayi Dong, Jiahao Li, Fei Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI), pp. 7392–7400, 2025

[Paper]

scDiformer: A Difference-Aware Transformer for Time-Series Single-Cell Gene Expression Forecasting

Xinyue Gu, Jiayi Dong, Jiahao Li, Fei Wang

IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 493–498, 2025 · IEEE

[Paper]

scDiformer: A Difference-Aware Transformer for Time-Series Single-Cell Gene Expression Forecasting

Xinyue Gu, Jiayi Dong, Jiahao Li, Fei Wang

IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 493–498, 2025 · IEEE

[Paper]

Deep learning in gene regulatory network inference: a survey

Jiayi Dong, Jiahao Li, Fei Wang

IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 21, no. 6, pp. 2089–2101, 2024 · IEEE

[Paper]

Deep learning in gene regulatory network inference: a survey

Jiayi Dong, Jiahao Li, Fei Wang

IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 21, no. 6, pp. 2089–2101, 2024 · IEEE

[Paper]

stDiff: a diffusion model for imputing spatial transcriptomics through single-cell transcriptomics

Kongming Li, Jiahao Li, Yuhao Tao, Fei Wang

Briefings in Bioinformatics, Art. no. bbae171, vol. 25, no. 3, 2024 · Oxford University Press

[Paper]

stDiff: a diffusion model for imputing spatial transcriptomics through single-cell transcriptomics

Kongming Li, Jiahao Li, Yuhao Tao, Fei Wang

Briefings in Bioinformatics, Art. no. bbae171, vol. 25, no. 3, 2024 · Oxford University Press

[Paper]

The short-time prediction of the energetic electron flux in the planetary radiation belt based on stacking ensemble-learning algorithm

Rongxin Tang, Yuhao Tao, Jiahao Li, Zhou Chen, Xiaohua Deng, Haimeng Li

Space Weather, Art. no. e2021SW002969, vol. 20, no. 2, 2022 · Wiley

[Paper]

The short-time prediction of the energetic electron flux in the planetary radiation belt based on stacking ensemble-learning algorithm

Rongxin Tang, Yuhao Tao, Jiahao Li, Zhou Chen, Xiaohua Deng, Haimeng Li

Space Weather, Art. no. e2021SW002969, vol. 20, no. 2, 2022 · Wiley

[Paper]

Fruchterman–Reingold hexagon empowered node deployment in wireless sensor network application

Jiahao Li, Yuhao Tao, Kai Yuan, Rongxin Tang, Zhiming Hu, Weichao Yan, Shiyun Liu

Sensors, Art. no. 5179, vol. 22, no. 14, 2022

[Paper]

Fruchterman–Reingold hexagon empowered node deployment in wireless sensor network application

Jiahao Li, Yuhao Tao, Kai Yuan, Rongxin Tang, Zhiming Hu, Weichao Yan, Shiyun Liu

Sensors, Art. no. 5179, vol. 22, no. 14, 2022

[Paper]