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ORCIDJin Liu 0011
Person information
- affiliation: Duke-NUS Medical School, Centre for Quantitative Medicine, Singapore
Other persons with the same name
- Jin Liu — disambiguation page
- Jin Liu 0001 — Heinrich-Hertz-Institut für Nachrichtentechnik GmbH, Berlin, Germany (and 1 more)
- Jin Liu 0002 — Washington State University, School of Mechanical and Materials Engineering, Pullman, WA, USA
- Jin Liu 0003 — The University of Electro-Communications, Department of Communication Engineering, Tokyo, Japan
- Jin Liu 0004
![[0000-0002-0384-5688]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0384-5688")
— University of Texas at Dallas, Department of Electrical Engineering, USA (and 1 more) - Jin Liu 0005 — University of North Texas Health Science Center, Department of Pharmaceutical Sciences, Fort Worth, TX, USA (and 2 more)
- Jin Liu 0006 — China University of Mining and Technology, School of Computer Science, Xuzhou, China (and 1 more)
- Jin Liu 0007 — Hohai University, School of Earth Sciences and Engineering, Nanjing, China
- Jin Liu 0008 — Xidian University, School of Electronic Engineering, Xi'an, China
- Jin Liu 0009 — Shanghai Maritime University, College of Information Engineering, Shanghai, China
- Jin Liu 0010 — Shanghai University of Engineering Science, School of Electronic and Electrical Engineering, Shanghai, China
- Jin Liu 0012 — Central South University, School of Information Science and Engineering, Changsha, China
- Jin Liu 0013 — Wuhan University of Science and Technology, College of Information Science and Engineering, Wuhan, China
- Jin Liu 0014 — Lanzhou Jiaotong University, School of Electronic and Information Engineering, Lanzhou, China
- Jin Liu 0015 — Chongqing University of Science and Technology, College of Safety Engineering, Chongqing, China
- Jin Liu 0016 — Wuhan University, School of Computer, State Key Lab. of Software Engineering, Wuhan, China
- Jin Liu 0017 — National Huaqiao University, College of Computer Science and Technology, Xiamen, China (and 1 more)
- Jin Liu 0018 — Shandong University, School of Control Science and Engineering, Jinan, China
- Jin Liu 0019 — Anhui Polytechnic University, College of Computer and Information, Wuhu, China (and 1 more)
- Jin Liu 0020 — Institute of Information Engineering, Chinese Academy of Sciences, China
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Journal Articles
- 2024
[j17]Jian Huang, Yuling Jiao, Xu Liao, Jin Liu, Zhou Yu:
Deep Dimension Reduction for Supervised Representation Learning. IEEE Trans. Inf. Theory 70(5): 3583-3598 (2024)- 2023
- [j16]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) - [j15]Lican Kang, Xu Liao, Jin Liu, Yuan Luo:
Deep estimation for Q⁎ with minimax Bellman error minimization. Inf. Sci. 648: 119565 (2023) - 2022
- [j14]Yi Yang, Xingjie Shi, Wei Liu, Qiuzhong Zhou, Mai Chan Lau, Jeffrey Chun Tatt Lim, Lei Sun, Cedric Chuan Young Ng, Joe Yeong, Jin Liu:
SC-MEB: spatial clustering with hidden Markov random field using empirical Bayes. Briefings Bioinform. 23(1) (2022) - [j13]Qing Cheng, Tingting Qiu, Xiaoran Chai, Baoluo Sun, Yingcun Xia, Xingjie Shi, Jin Liu:
MR-Corr2: a two-sample Mendelian randomization method that accounts for correlated horizontal pleiotropy using correlated instrumental variants. Bioinform. 38(2): 303-310 (2022) - [j12]Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu:
GSDAR: a fast Newton algorithm for ℓ 0 regularized generalized linear models with statistical guarantee. Comput. Stat. 37(1): 507-533 (2022) - 2021
- [j11]Qibin Fan, Cui Jia, Jin Liu, Yuan Luo:
Robust recovery in 1-bit compressive sensing via ℓq-constrained least squares. Signal Process. 179: 107822 (2021) - 2020
- [j10]Jia Zhao, Jingsi Ming, Xianghong Hu, Gang Chen, Jin Liu, Can Yang:
Bayesian weighted Mendelian randomization for causal inference based on summary statistics. Bioinform. 36(5): 1501-1508 (2020) - [j9]Yi Yang, Xingjie Shi, Yuling Jiao, Jian Huang, Min Chen, Xiang Zhou, Lei Sun, Xinyi Lin, Can Yang, Jin Liu:
CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies. Bioinform. 36(7): 2009-2016 (2020) - 2019
- [j8]Can Yang, Xiang Wan, Xinyi Lin, Mengjie Chen, Xiang Zhou, Jin Liu:
CoMM: a collaborative mixed model to dissecting genetic contributions to complex traits by leveraging regulatory information. Bioinform. 35(10): 1644-1652 (2019) - [j7]Mingwei Dai, Xiang Wan, Hao Peng, Yao Wang, Yue Liu, Jin Liu, Zongben Xu, Can Yang:
Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy. Bioinform. 35(10): 1729-1736 (2019) - [j6]Xingjie Shi, Yuling Jiao, Yi Yang, Ching-Yu Cheng, Can Yang, Xinyi Lin, Jin Liu:
VIMCO: variational inference for multiple correlated outcomes in genome-wide association studies. Bioinform. 35(19): 3693-3700 (2019) - 2018
- [j5]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
- [j4]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) - [j3]Jin Liu, Xiang Wan, Chaolong Wang, Chao Yang, Xiaowei Zhou, Can Yang:
LLR: a latent low-rank approach to colocalizing genetic risk variants in multiple GWAS. Bioinform. 33(24): 3878-3886 (2017) - 2016
- [j2]Jin Liu, Xiang Wan, Shuangge Ma, Can Yang:
EPS: an empirical Bayes approach to integrating pleiotropy and tissue-specific information for prioritizing risk genes. Bioinform. 32(12): 1856-1864 (2016) - 2014
- [j1]Xingjie Shi, Shihao Shen, Jin Liu, Jian Huang, Yong Zhou, Shuangge Ma:
Similarity of markers identified from cancer gene expression studies: observations from GEO. Briefings Bioinform. 15(5): 671-684 (2014)
Conference and Workshop Papers
- 2023
- [c2]Junyu Zhu, Xu Liao, Changshi Li, Yuling Jiao, Jin Liu, Xiliang Lu:
Invariant and Sufficient Supervised Representation Learning. IJCNN 2023: 1-8 - 2021
- [c1]Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Jerry Zhijian Yang:
Deep Generative Learning via Euler Particle Transport. MSML 2021: 336-368
Informal and Other Publications
- 2020
- [i5]Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu:
A Support Detection and Root Finding Approach for Learning High-dimensional Generalized Linear Models. CoRR abs/2001.05819 (2020) - [i4]Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu:
Learning Implicit Generative Models with Theoretical Guarantees. CoRR abs/2002.02862 (2020) - [i3]Jian Huang, Yuling Jiao, Xu Liao, Jin Liu, Zhou Yu:
Deep Dimension Reduction for Supervised Representation Learning. CoRR abs/2006.05865 (2020) - [i2]Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Jerry Zhijian Yang:
Generative Learning With Euler Particle Transport. CoRR abs/2012.06094 (2020) - 2019
- [i1]Shunkang Zhang, Yuan Gao, Yuling Jiao, Jin Liu, Yang Wang, Can Yang:
Wasserstein-Wasserstein Auto-Encoders. CoRR abs/1902.09323 (2019)
Coauthor Index
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