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2020 – today
- 2024
[j6]Wei Zhang, Mingxuan Cai, Hong Joo Lee, Richard Evans, Chengyan Zhu, Chenghan Ming:
AI in Medical Education: Global situation, effects and challenges. Educ. Inf. Technol. 29(4): 4611-4633 (2024)- [c2]Xinyu Sun, Zhikun Zhao, Lili Wei, Congyan Lang, Mingxuan Cai, Longfei Han, Juan Wang, Bing Li, Yuxuan Guo:
RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing. AAAI 2024: 5025-5033 - 2023
- [j5]Xinyi Yu, Jiashun Xiao, Mingxuan Cai
, Yuling Jiao, Xiang Wan, Jin Liu, Can Yang:
PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations. Bioinform. 39(2) (2023) - [j4]Chengcheng Zhang, Guanshi Liu, Shengkui Tian, Mingxuan Cai:
Passive Soil Arching Effect in Aeolian Sand Backfills for Grillage Foundation. Sensors 23(19): 8098 (2023) - [i2]Zhiwei Wang, Fa Zhang, Cong Zheng, Xianghong Hu, Mingxuan Cai, Can Yang:
MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information. CoRR abs/2303.02566 (2023) - 2022
- [j3]Jiashun Xiao, Mingxuan Cai, Xianghong Hu, Xiang Wan, Gang Chen, Can Yang:
XPXP: improving polygenic prediction by cross-population and cross-phenotype analysis. Bioinform. 38(7): 1947-1955 (2022) - [c1]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:
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 44-70 - [i1]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:
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. CoRR abs/2211.03885 (2022)
2010 – 2019
- 2018
- [j2]Jingsi Ming, Mingwei Dai, Mingxuan Cai, Xiang Wan, Jin Liu, Can Yang:
LSMM: a statistical approach to integrating functional annotations with genome-wide association studies. Bioinform. 34(16): 2788-2796 (2018) - 2017
- [j1]Mingwei Dai, Jingsi Ming, Mingxuan Cai, Jin Liu, Can Yang, Xiang Wan, Zongben Xu:
IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studies. Bioinform. 33(18): 2882-2889 (2017)
Coauthor Index
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last updated on 2024-08-05 20:21 CEST by the dblp team
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