Jin Liu

26 papers B 1Journal 24Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Model Free Prediction With Uncertainty Assessment.
IEEE Trans. Inf. Theory
Yuling Jiao, Lican Kang, Jin Liu, Heng Peng, Heng Zuo
2025 J jnl
Schrödinger-Föllmer Sampler.
IEEE Trans. Inf. Theory
Jian Huang, Yuling Jiao, Lican Kang, Xu Liao, Jin Liu, Yanyan Liu
2024 J jnl
Deep Dimension Reduction for Supervised Representation Learning.
IEEE Trans. Inf. Theory
Jian Huang, Yuling Jiao, Xu Liao, Jin Liu, Zhou Yu
2023 J jnl
Deep estimation for
Inf. Sci.
Lican Kang, Xu Liao, Jin Liu, Yuan Luo
2023 B conf
Invariant and Sufficient Supervised Representation Learning.
IJCNN
Junyu Zhu, Xu Liao, Changshi Li, Yuling Jiao, Jin Liu, Xiliang Lu
2023 J jnl
PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations.
Bioinform.
Xinyi Yu, Jiashun Xiao, Mingxuan Cai, Yuling Jiao, Xiang Wan, Jin Liu, Can Yang
2022 J jnl
GSDAR: a fast Newton algorithm for ℓ
Comput. Stat.
Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu
2022 J jnl
MR-Corr2: a two-sample Mendelian randomization method that accounts for correlated horizontal pleiotropy using correlated instrumental variants.
Bioinform.
Qing Cheng, Tingting Qiu, Xiaoran Chai, Baoluo Sun, Yingcun Xia, Xingjie Shi, Jin Liu
2022 J jnl
SC-MEB: spatial clustering with hidden Markov random field using empirical Bayes.
Briefings Bioinform.
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
2021 — conf
Deep Generative Learning via Euler Particle Transport.
MSML
Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Jerry Zhijian Yang
2021 J jnl
Robust recovery in 1-bit compressive sensing via ℓ
Signal Process.
Qibin Fan, Cui Jia, Jin Liu, Yuan Luo
2020 J jnl
A Support Detection and Root Finding Approach for Learning High-dimensional Generalized Linear Models.
CoRR
Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu
2020 J jnl
Bayesian weighted Mendelian randomization for causal inference based on summary statistics.
Bioinform.
Jia Zhao, Jingsi Ming, Xianghong Hu, Gang Chen, Jin Liu, Can Yang
2020 J jnl
CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies.
Bioinform.
Yi Yang, Xingjie Shi, Yuling Jiao, Jian Huang, Min Chen, Xiang Zhou, Lei Sun, Xinyi Lin, Can Yang, Jin Liu
2020 J jnl
Deep Dimension Reduction for Supervised Representation Learning.
CoRR
Jian Huang, Yuling Jiao, Xu Liao, Jin Liu, Zhou Yu
2020 J jnl
Generative Learning With Euler Particle Transport.
CoRR
Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Jerry Zhijian Yang
2020 J jnl
Learning Implicit Generative Models with Theoretical Guarantees.
CoRR
Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu
2019 J jnl
CoMM: a collaborative mixed model to dissecting genetic contributions to complex traits by leveraging regulatory information.
Bioinform.
Can Yang, Xiang Wan, Xinyi Lin, Mengjie Chen, Xiang Zhou, Jin Liu
2019 J jnl
Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy.
Bioinform.
Mingwei Dai, Xiang Wan, Hao Peng, Yao Wang, Yue Liu, Jin Liu, Zongben Xu, Can Yang
2019 J jnl
VIMCO: variational inference for multiple correlated outcomes in genome-wide association studies.
Bioinform.
Xingjie Shi, Yuling Jiao, Yi Yang, Ching-Yu Cheng, Can Yang, Xinyi Lin, Jin Liu
2019 J jnl
Wasserstein-Wasserstein Auto-Encoders.
CoRR
Shunkang Zhang, Yuan Gao, Yuling Jiao, Jin Liu, Yang Wang, Can Yang
2018 J jnl
LSMM: a statistical approach to integrating functional annotations with genome-wide association studies.
Bioinform.
Jingsi Ming, Mingwei Dai, Mingxuan Cai, Xiang Wan, Jin Liu, Can Yang
2017 J jnl
IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studies.
Bioinform.
Mingwei Dai, Jingsi Ming, Mingxuan Cai, Jin Liu, Can Yang, Xiang Wan, Zongben Xu
2017 J jnl
LLR: a latent low-rank approach to colocalizing genetic risk variants in multiple GWAS.
Bioinform.
Jin Liu, Xiang Wan, Chaolong Wang, Chao Yang, Xiaowei Zhou, Can Yang
2016 J jnl
EPS: an empirical Bayes approach to integrating pleiotropy and tissue-specific information for prioritizing risk genes.
Bioinform.
Jin Liu, Xiang Wan, Shuangge Ma, Can Yang
2014 J jnl
Similarity of markers identified from cancer gene expression studies: observations from GEO.
Briefings Bioinform.
Xingjie Shi, Shihao Shen, Jin Liu, Jian Huang, Yong Zhou, Shuangge Ma