Publications

Jiaqi Zhang, Manav Chakravarthy, Ritambhara Singh (2025). scMultiNODE: Integrative and Scalable Framework for Multi-Modal Temporal Single-Cell Data. biorxiv.

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Jiaqi Zhang, Yiqin Wang, Meng Wang, Beilun Wang (2024). Sparse and Smooth Additive Isotonic Model in High-Dimensional Settings. Machine Learning.

Jiaqi Zhang, Erica Larschan, Jeremy Bigness, Ritambhara Singh (2024). scNODE: Generative Model for Temporal Single Cell Transcriptomic Data Prediction. 23rd European Conference on Computational Biology (ECCB 2024).

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Jiaqi Zhang, Ritambhara Singh (2023). Evaluating the Complexity of Gene Co-expression Estimation for Single-cell Data. Journal of Machine Learning for Modeling and Computing.

Beilun Wang, Jiaqi Zhang, Haoqing Xu, Te Tao (2022). Fast and Scalable Learning of Sparse Changes in High-Dimensional Graphical Model Structure. Neurocomputing.

Qianli Yang, Zhongqiao Lin, Wenyi Zhang, Jianshu Li, Xiyuan Chen, Jiaqi Zhang, Tianming Yang (2022). Monkey plays Pac-Man with compositional strategies and hierarchical decision-making. Elife.

Kaihong Huang, Chunshu Li, Jiaqi Zhang, Beilun Wang (2021). Cascade and Fusion: A Deep Learning Approach for Camouflaged Object Sensing. Sensors.

Beilun Wang, Jiaqi Zhang, Yan Zhang, Meng Wang, Sen Wang (2021). Scalable Estimator for Multi-task Gaussian Graphical Models Based in an IoT Network. ACM Transactions on Sensor Networks.

Jiaqi Zhang, Meng Wang, Qinchi Li, Sen Wang, Xiaojun Chang, Beilun Wang (2020). Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables. IJCAI 2020.

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