Jin Liu

According to our database, Jin Liu authored at least 22 papers between 2014 and 2023.

Collaborative distances:

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

2023

Deep estimation for <i>Q</i>^⁎ with minimax Bellman error minimization.

Lican Kang, Xu Liao, Jin Liu, Yuan Luo

Inf. Sci., November, 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

Invariant and Sufficient Supervised Representation Learning.

Junyu Zhu, Xu Liao, Changshi Li, Yuling Jiao, Jin Liu, Xiliang Lu

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

GSDAR: a fast Newton algorithm for ℓ ₀ regularized generalized linear models with statistical guarantee.

Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu

Comput. Stat., 2022

MR-Corr2: a two-sample Mendelian randomization method that accounts for correlated horizontal pleiotropy using correlated instrumental variants.

Qing Cheng, Tingting Qiu, Xiaoran Chai, Baoluo Sun, Yingcun Xia, Xingjie Shi, Jin Liu

Bioinform., 2022

SC-MEB: spatial clustering with hidden Markov random field using empirical Bayes.

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

Briefings Bioinform., 2022

2021

Robust recovery in 1-bit compressive sensing via ℓ_<i>q</i>-constrained least squares.

Qibin Fan, Cui Jia, Jin Liu, Yuan Luo

Signal Process., 2021

2020

Generative Learning With Euler Particle Transport.

Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Jerry Zhijian Yang

CoRR, 2020

Deep Dimension Reduction for Supervised Representation Learning.

Jian Huang, Yuling Jiao, Xu Liao, Jin Liu, Zhou Yu

CoRR, 2020

Learning Implicit Generative Models with Theoretical Guarantees.

Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu

CoRR, 2020

A Support Detection and Root Finding Approach for Learning High-dimensional Generalized Linear Models.

Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu

CoRR, 2020

Bayesian weighted Mendelian randomization for causal inference based on summary statistics.

Jia Zhao, Jingsi Ming, Xianghong Hu, Gang Chen, Jin Liu, Can Yang

Bioinform., 2020

CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies.

Yi Yang, Xingjie Shi, Yuling Jiao, Jian Huang, Min Chen, Xiang Zhou, Lei Sun, Xinyi Lin, Can Yang, Jin Liu

Bioinform., 2020

2019

Wasserstein-Wasserstein Auto-Encoders.

Shunkang Zhang, Yuan Gao, Yuling Jiao, Jin Liu, Yang Wang, Can Yang

CoRR, 2019

CoMM: a collaborative mixed model to dissecting genetic contributions to complex traits by leveraging regulatory information.

Can Yang, Xiang Wan, Xinyi Lin, Mengjie Chen, Xiang Zhou, Jin Liu

Bioinform., 2019

VIMCO: variational inference for multiple correlated outcomes in genome-wide association studies.

Xingjie Shi, Yuling Jiao, Yi Yang, Ching-Yu Cheng, Can Yang, Xinyi Lin, Jin Liu

Bioinform., 2019

Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy.

Mingwei Dai, Xiang Wan, Hao Peng, Yao Wang, Yue Liu, Jin Liu, Zongben Xu, Can Yang

Bioinform., 2019

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

LLR: a latent low-rank approach to colocalizing genetic risk variants in multiple GWAS.

Jin Liu, Xiang Wan, Chaolong Wang, Chao Yang, Xiaowei Zhou, Can Yang

Bioinform., 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

2016

EPS: an empirical Bayes approach to integrating pleiotropy and tissue-specific information for prioritizing risk genes.

Jin Liu, Xiang Wan, Shuangge Ma, Can Yang

Bioinform., 2016

2014

Similarity of markers identified from cancer gene expression studies: observations from GEO.

Xingjie Shi, Shihao Shen, Jin Liu, Jian Huang, Yong Zhou, Shuangge Ma

Briefings Bioinform., 2014