Simulation of large neuronal networks with biophysically accurate models on graphics processors. - Mingchao Wang; Boyuan Yan; Jingzhen Hu; Peng Li 001 (IJCNN, 2011)

Linking brain behavior to underlying cellular mechanisms via large-scale brain modeling and simulation. - Yong Zhang 049; Boyuan Yan; Mingchao Wang; Jingzhen Hu; Haokai Lu; Peng Li 001 (Neurocomputing, 2012)

CSS Codes that are Oblivious to Coherent Noise. - Jingzhen Hu; Qingzhong Liang; Narayanan Rengaswamy; A. Robert Calderbank (ISIT, 2021)

Climbing the Diagonal Clifford Hierarchy. - Jingzhen Hu; Qingzhong Liang; A. Robert Calderbank (CoRR, 2021)

Co-design of CSS Codes and Diagonal Gates. - Jingzhen Hu; Qingzhong Liang; A. Robert Calderbank (ISIT, 2022)

Algebraic model selection and experimental design in biological data science. - Elena S. Dimitrova; Jingzhen Hu; Qingzhong Liang; Brandilyn Stigler; Anyu Zhang (Adv. Appl. Math., 2022)

Computing electrostatic binding energy with the TABI Poisson-Boltzmann solver. - Leighton Wilson; Jingzhen Hu; Jiahui Chen 006; Robert Krasny; Weihua Geng (Commun. Inf. Syst., 2022)

Divisible Codes for Quantum Computation. - Jingzhen Hu; Qingzhong Liang; A. Robert Calderbank (CoRR, 2022)

Mitigating Coherent Noise by Balancing Weight-2 Z-Stabilizers. - Jingzhen Hu; Qingzhong Liang; Narayanan Rengaswamy; A. Robert Calderbank (IEEE Trans. Inf. Theory, 2022)

Designing the Quantum Channels Induced by Diagonal Gates. - Jingzhen Hu; Qingzhong Liang; A. Robert Calderbank (Quantum, 2022)

Designing Quantum Channels Induced by Diagonal Gates. - Jingzhen Hu (2023)