2018，Carnegie Mellon University，Pittsburgh, United States，Computer Science，Ph.D
2011，University of Michigan，Ann Arbor, United States，Computer Engineering，B.S.E
2011，SJTU, Shanghai, China，Electrical and Computer Engineering，B.S.E
2022-Pres.，Global Institute of Future Technology，SJTU，Assistant Dean
2021-Pres.，Global Institute of Future Technology，SJTU，Associate Professor
2021-2021，UM-SJTU Joint Institute，SJTU，Associate Professor
2020-2021，UM-SJTU Joint Institute，SJTU，Assistant Professor
2018-2020，University of Pittsburgh，Pediatrics，Postdoctoral Associate
Machine learning and statistical methods for single cell analysis
Cancer multiomics, immunology and precision medicine
Combinatorial optimization algorithms in bioinformatics
Stable and explainable artificial intelligence in science
Tencent Rhinoceros Talent Plan
2021，National Science Foundation for Outstanding Young Scholars (Overseas)
2020，Shanghai Leading Talent Program
2020，Shanghai Pujiang Talent Program,CTCSM
2018，ASHG Selection of Judges
2016，ISMB Travel Award
IEEE Society for Bioinformatics and Biomedicine（BIBM），Program Commissioner
Journal of Computational Biology ，Editorial Board
Clinical E-Health，Editorial Board
The 7th National Conference on Computational Biology and Bioinformatics，Topic moderator
International Young Scientists Forum on Future Technology of Shanghai Jiaotong University，Co-Chairs
Zhou, Jieli, and Hongyi Xin*. “Emerging artificial intelligence methods for fighting lung cancer: A survey.” in Clinical eHealth, 5, 19-34, December 2022.
Jieli Zhou, Baoyu Jing, Zeya Wang*, Hongyi Xin*, Hanghang Tong. “SODA: Detecting COVID-19 in Chest X-rays with Semi-supervised Open Set Domain Adaptation”, in IEEE/ACM Transactions on Computational Biology and Bioinformatics, 10.1109/TCBB.2021.3066331, March 2021.
Hongyi Xin, Qiuyu Lian, Yale Jiang, Jiadi Luo, Xinjun Wang, Carla Erb, Xiaoyi Zhang, Elisa Heidrich-O’Hare, Qi Yan, Richard Duerr, Kong Chen, Wei Chen. “Sample demultiplexing, multiplet detection, experiment planning and novel cell type verification in single cell sequencing”, in Genome Biology, 21, 188, July 2020.
Qiuyu Lian, Hongyi Xin(co-first), Jianzhu Ma, Lina Konnikova, Wei Chen, Jin Gu, Kong Chen. “Artificial-Cell-Type Aware Cell Type Classification in CITE-seq”, in Oxford Bioinformatics, Volume 33 Issue Supplement_1, November 2020
Hongyi Xin, Mingfu Shao, Carl Kingsford. “Context-Aware Seeds for Read Mapping”, in Algorithms in Molecular Biology, 15, 10, May 2020.
Xinjun Wang, Zhe Sun, Yanfu Zhang, Zhongli Xu, Hongyi Xin, Heng Huang, Richard H Duerr, Kong Chen, Ying Ding, Wei Chen. “BREM-SC: a bayesian random effects mixture model for joint clustering single cell multi-omics data”, in Nucleic Acids Research, gkaa314, May 2020.
Qi Yan, Daniel Weeks, Hongyi Xin, Anand Swaroop, Emily Chew, Heng Huang, Ying Ding, Wei Chen. “Deep-LearningBased Prediction of Late Age-Related Macular Degeneration Progression”, in Nature Machine Intelligence, 2, 141-150, February 2020.
KR Jayaram, Anshul Gandhi, Hongyi Xin, Shu Tao. “Adaptively Accelerating Map-Reduce/Spark with GPUs: A Case Study”, in Proceedings of the 16th The International Conference on Autonomic Computing (ICAC 2019), Umea, Sweden, June 2019.
Zhe Sun, Li Chen, Hongyi Xin, Qianhui Huang, Anthony Cillo, Tracy Tabib, Ying Ding, Jay Kolls, Tullia Bruno, Robert Lafyatis, Dario Vignali, Kong Chen, Ming Hu, and Wei Chen. “BAMM-SC: A Bayesian Mixture Model for Clustering Droplet-Based Single Cell Transcriptomic Data from Population Studies”, in Nature Communications, 10(1), Page 1649, 2019.
Introduction to Algorithms and Data Structures
Copyright@ 2021 Global Institute of Future Technology,Shanghai Jiao Tong University
