Publications
*: equal contribution
Journal Articles
Kaichen Xu*, Yan Lu, Suyang Hou, Kainan Liu, Yihang Du, Mengqian Huang, Hao Feng, Hao Wu, and Xiaobo Sun*. Detecting and Dissecting Anomalous Anatomic Regions in Spatial Transcriptomics with STANDS. Nature Communications, 2024.
Kaichen Xu, Pengyu Xie, Zhanli Li, Hao Wu, and Xiaobo Sun. Large-scale Gene Topic Modeling for Single-cell Multi-omics Retrieval Augmented Generation. Manuscript, 2024. In Preparation.
Kaichen Xu*, Kainan Liu*, Linjie Wang, Yueyang Ding, Yan Lu, Hao Wu, and Xiaobo Sun. An Integrated Approach for Detecting and Subtyping Anomalous Single Cells across Samples and Modalities. Genome Biology, 2024. Under Review.
Tao Deng*, Mengqian Huang, Kaichen Xu, Yan Lu, Yucheng Xu, Shiyu Chen, Nina Xie, Hao Wu, and Xiaobo Sun*. LEGEND: An Integrative Algorithm for Identifying Co-expressed and Cofunctional Genes in Multimodal Transcriptomic Sequencing Data. Genome Biology, 2023. Under Review.
Kaichen Xu. Estimation and Application of the Convergence Bounds for Nonlinear Markov Chains. arXiv preprint arXiv:2212.05304, 2022.
Conference Papers
Kaichen Xu*, Yueyang Ding*, Suyang Hou, Weiqiang Zhan, Nisang Chen, Jun Wang, and Xiaobo Sun. Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond. In Proceedings of the International Joint Conference on Artificial Intelligence, 2024.
Kaichen Xu, Yan Lu. Align Anything: Learning Coherent Representation with Multi-domain Independence Discrepancy. In Proceedings of the the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024. Under Review.
Kaichen Xu*, Qilong Wu*, Yan Lu, Yinan Zheng, Jun Wang, and Xiaobo Sun. Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics. In Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Under Review.
Kaichen Xu, Yan Lu. Series Anomaly Inference with Nonlinear Markov to Circumvent Walking a Tightrope. In Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Under Review.