Identifiability and Estimation of Probabilities from Multiple Databases with Incomplete Data and Sampling Selection. - Jinzhu Jia; Zhi Geng; Mingfeng Wang (SSPR/SPR, 2006)

Hidden Markov Models with Multiple Observers. - Hua Chen; Zhi Geng; Jinzhu Jia (ICIC (2), 2007)

Multi-Task Sparse Discriminant Analysis (MtSDA) with Overlapping Categories. - Yahong Han; Fei Wu 001; Jinzhu Jia; Yueting Zhuang; Bin Yu 001 (AAAI, 2010)

Discovering word associations in news media via feature selection and sparse classification. - Brian Gawalt; Jinzhu Jia; Luke Miratrix; Laurent El Ghaoui; Bin Yu 001; Sophie Clavier (Multimedia Information Retrieval, 2010)

Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression. - Ling Huang 001; Jinzhu Jia; Bin Yu 001; Byung-Gon Chun; Petros Maniatis; Mayur Naik (NIPS, 2010)

Image Annotation by Sparse Logistic Regression. - Siqiong He; Jinzhu Jia (PCM (2), 2010)

SBA-term: Sparse Bilingual Association for Terms. - Xinyu Dai; Jinzhu Jia; Laurent El Ghaoui; Bin Yu 001 (ICSC, 2011)

Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs - Yangbo He; Jinzhu Jia; Bin Yu 001 (CoRR, 2012)

Concise comparative summaries (CCS) of large text corpora with a human experiment. - Jinzhu Jia; Luke Miratrix; Bin Yu 001; Brian Gawalt; Laurent El Ghaoui; Luke Barnesmoore; Sophie Clavier (CoRR, 2014)

Counting and exploring sizes of Markov equivalence classes of directed acyclic graphs. - Yangbo He; Jinzhu Jia; Bin Yu 001 (J. Mach. Learn. Res., 2015)

On stepwise pattern recovery of the fused Lasso. - Junyang Qian; Jinzhu Jia (Comput. Stat. Data Anal., 2016)

SIPID: A deep learning framework for sinogram interpolation and image denoising in low-dose CT reconstruction. - Huizhuo Yuan; Jinzhu Jia; Zhanxing Zhu (ISBI, 2018)

CPPM: chi-squared progressive photon mapping. - Zehui Lin; Sheng Li 008; Xinlu Zeng; Congyi Zhang 001; Jinzhu Jia; Guoping Wang; Dinesh Manocha (ACM Trans. Graph., 2020)

Integrated Sensing and Communication enabled Doppler Frequency Shift Estimation and Compensation. - Jinzhu Jia; Zhiqing Wei; Ruiyun Zhang; Lin Wang 082 (ICCC, 2023)

Hypothesis Testing for Progressive Kernel Estimation and VCM Framework. - Zehui Lin; Chenxiao Hu; Jinzhu Jia; Sheng Li 008 (IEEE Trans. Vis. Comput. Graph., 2024)

Reinforcement learning using neural networks in estimating an optimal dynamic treatment regime in patients with sepsis. - Weijie Liang; Jinzhu Jia (Comput. Methods Programs Biomed., 2025)

Corrigendum to "Reinforcement learning using neural networks in estimating an optimal dynamic treatment regime in patients with sepsis" [Computer methods and programs in biomedicine 266 (2025) 108754]. - Weijie Liang; Jinzhu Jia (Comput. Methods Programs Biomed., 2025)

Integrated Sensing and Communication Channel Modeling: A Survey. - Zhiqing Wei; Jinzhu Jia; Yangyang Niu; Lin Wang 082; Huici Wu; Heng Yang 006; Zhiyong Feng 001 (IEEE Internet Things J., 2025)