Mingxuan Cai

According to our database, Mingxuan Cai authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AI in Medical Education: Global situation, effects and challenges.

Wei Zhang, Mingxuan Cai, Hong Joo Lee, Richard Evans, Chengyan Zhu, Chenghan Ming

Educ. Inf. Technol., March, 2024

RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing.

Xinyu Sun, Zhikun Zhao, Lili Wei, Congyan Lang, Mingxuan Cai, Longfei Han, Juan Wang, Bing Li, Yuxuan Guo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Passive Soil Arching Effect in Aeolian Sand Backfills for Grillage Foundation.

Chengcheng Zhang, Guanshi Liu, Shengkui Tian, Mingxuan Cai

Sensors, October, 2023

PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations.

Xinyi Yu, Jiashun Xiao, Mingxuan Cai, Yuling Jiao, Xiang Wan, Jin Liu, Can Yang

Bioinform., February, 2023

MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information.

Zhiwei Wang, Fa Zhang, Cong Zheng, Xianghong Hu, Mingxuan Cai, Can Yang

CoRR, 2023

2022

XPXP: improving polygenic prediction by cross-population and cross-phenotype analysis.

Jiashun Xiao, Mingxuan Cai, Xianghong Hu, Xiang Wan, Gang Chen, Can Yang

Bioinform., 2022

Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report.

Andrey Ignatov, Radu Timofte, Shuai Liu, Chaoyu Feng, Furui Bai, Xiaotao Wang, Lei Lei, Ziyao Yi, Yan Xiang, Zibin Liu, Shaoqing Li, Keming Shi, Dehui Kong, Ke Xu, Minsu Kwon, Yaqi Wu, Jiesi Zheng, Zhihao Fan, Xun Wu, Feng Zhang, Albert No, Minhyeok Cho, Zewen Chen, Xiaze Zhang, Ran Li, Juan Wang, Zhiming Wang, Marcos V. Conde, Ui-Jin Choi, Georgy Perevozchikov, Egor I. Ershov, Zheng Hui, Mengchuan Dong, Xin Lou, Wei Zhou, Cong Pang, Haina Qin, Mingxuan Cai

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2018

LSMM: a statistical approach to integrating functional annotations with genome-wide association studies.

Jingsi Ming, Mingwei Dai, Mingxuan Cai, Xiang Wan, Jin Liu, Can Yang

Bioinform., 2018

2017

IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studies.

Mingwei Dai, Jingsi Ming, Mingxuan Cai, Jin Liu, Can Yang, Xiang Wan, Zongben Xu

Bioinform., 2017