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Lican Kang
Observed name:
Kang, Lican
Institutions:
Wuhan University,
Hubei University
Observed institutions:
National University of Singapore,
Wuhan University,
Duke-NUS Medical School,
Hubei University,
Nanjing Medical University
ORCID:
0000-0003-3136-9225
Observed ORCID:
0000-0003-3136-9225
OpenAlex ID:
A5086788173
Human‐in‐the‐loop machine learning for healthcare: Current progress and future opportunities in electronic health records
2024
·
Han Yuan
, Lican Kang
, et al.
·
Medicine Advances
·
32
PDF
An empirical study of the effect of background data size on the stability of SHapley Additive exPlanations (SHAP) for deep learning models
2022
·
Yuan, Han
, Liu, Minxuan
, et al.
·
Zurich Open Repository and Archive (University of Zurich)
·
15
PDF
Multivariate stochastic modeling for transcriptional dynamics with cell-specific latent time using SDEvelo
2024
·
Xu Liao
, Lican Kang
, et al.
·
Nature Communications
·
14
PDF
GSDAR: a fast Newton algorithm for $$\ell _0$$ regularized generalized linear models with statistical guarantee
2021
·
Jian Huang
, Yuling Jiao
, et al.
·
Computational Statistics
·
14
Fitting sparse linear models under the sufficient and necessary condition for model identification
2020
·
Jian Huang
, Yuling Jiao
, et al.
·
Statistics & Probability Letters
·
11
Deep contrastive representation learning for supervised tasks
2024
·
Chenguang Duan
, Yuling Jiao
, et al.
·
Pattern Recognition
·
8
Newton–Raphson Meets Sparsity: Sparse Learning Via a Novel Penalty and a Fast Solver
2023
·
Yongxiu Cao
, Lican Kang
, et al.
·
IEEE Transactions on Neural Networks and Learning Systems
·
7
Schr{ö}dinger-F{ö}llmer Sampler: Sampling without Ergodicity
2021
·
Huang, Jian
, Jiao, Yuling
, et al.
·
arXiv (Cornell University)
·
5
PDF
Global Optimization via Schrödinger–Föllmer Diffusion
2023
·
Yin Dai
, Yuling Jiao
, et al.
·
SIAM Journal on Control and Optimization
·
3
PDF
A data-driven line search rule for support recovery in high-dimensional data analysis
2022
·
Peili Li
, Yuling Jiao
, et al.
·
Computational Statistics & Data Analysis
·
3
PDF
A primal and dual active set algorithm for truncated $L_1$ regularized logistic regression
2022
·
Lican Kang
, Yuan Luo
, et al.
·
Journal of Industrial and Management Optimization
·
3
Schrödinger-Föllmer Sampler
2024
·
Jian Huang
, Yuling Jiao
, et al.
·
IEEE Transactions on Information Theory
·
2
Approximate Policy Iteration With Deep Minimax Average Bellman Error Minimization
2024
·
Lican Kang
, Yuhui Liu
, et al.
·
IEEE Transactions on Neural Networks and Learning Systems
·
2
A communication-efficient method for generalized linear regression with ℓ 0 regularization
2022
·
Kunpeng Wang
, Xuerui Li
, et al.
·
Communications in Statistics - Simulation and Computation
·
2
Opening the black box of deep learning: Validating the statistical association between explainable artificial intelligence (XAI) and clinical domain knowledge in fundus image-based glaucoma diagnosis
2025
·
Yuan, Han
, Kang, Lican
, et al.
·
arXiv (Cornell University)
·
1
PDF
Deep estimation for Q⁎ with minimax Bellman error minimization
2023
·
Lican Kang
, Xu Liao
, et al.
·
Information Sciences
·
1
Computation and analysis of change points with different jump locations in high-dimensional regression
2023
·
Jian Huang
, Yuling Jiao
, et al.
·
Statistical Papers
·
1
A communication-efficient method for ℓ0 regularization linear regression models
2022
·
Lican Kang
, Xuerui Li
, et al.
·
Journal of Statistical Computation and Simulation
·
1
Distributed Bayesian posterior voting strategy for massive data
2022
·
Xuerui Li
, Lican Kang
, et al.
·
Electronic Research Archive
·
1
Truncated $L_1$ Regularized Linear Regression: Theory and Algorithm
2021
·
Mingwei Dai
, Shuyang Dai
, et al.
·
Communications in Computational Physics
·
1
PDF
Latent-Space Importance Weighting under Covariate Shift
2026
·
Jiao, Yuling
, Kang, Lican
, et al.
·
arXiv (Cornell University)
Joint Contrastive-Adversarial Representation Learning for Unsupervised Domain Adaptation
2026
·
Jiao, Yuling
, Kang, Lican
, et al.
·
arXiv (Cornell University)
Deep Weighted Bellman Residual Minimization for $Q^*$ Estimation
2026
·
Kang, Lican
, Yang, Jerry Zhijian
, et al.
·
arXiv (Cornell University)
PDF
Schrödinger--Föllmer Actor--Critic: Diffusion Policy Improvement with Finite-Sample Analysis
2026
·
Jiao, Yuling
, Kang, Lican
, et al.
·
arXiv (Cornell University)
PDF
Offline Deep Q* Estimation with Diffusion Models
2026
·
Chen, Xiaohong
, Jiao, Yuling
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
38
Citation count:
126
H-index:
7
I10-index:
5
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