Reinforcement Learning applied to Single Neuron. - Zhipeng Wang; Mingbo Cai (CoRR, 2015)

A Bayesian method for reducing bias in neural representational similarity analysis. - Mingbo Cai; Nicolas W. Schuck; Jonathan W. Pillow; Yael Niv (NIPS, 2016)

Transfer Learning via Minimizing the Performance Gap Between Domains. - Boyu Wang; Jorge A. Mendez; Mingbo Cai; Eric Eaton (NeurIPS, 2019)

Disentangled Deep Autoencoding Regularization for Robust Image Classification. - Zhenyu Duan; Martin Renqiang Min; Li Erran Li; Mingbo Cai; Yi Xu 001; Bingbing Ni (CoRR, 2019)

Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias. - Mingbo Cai; Nicolas W. Schuck; Jonathan W. Pillow; Yael Niv (PLoS Comput. Biol., 2019)

Learning what is relevant for rewards via value-based serial hypothesis testing. - Mingyu Song; Yael Niv; Mingbo Cai (CogSci, 2020)

Wideband Low-Profile Luneburg Lens Based on a Glide-Symmetric Metasurface. - Fangfang Fan; Mingbo Cai; Jiachen Zhang; Zehong Yan; Jinxiao Wu (IEEE Access, 2020)

Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis. - Ming Bo Cai; Michael Shvartsman; Anqi Wu; Hejia Zhang; Xia Zhu (CoRR, 2020)

Using Recurrent Neural Networks to Understand Human Reward Learning. - Mingyu Song; Yael Niv; Mingbo Cai (CogSci, 2021)

Double-Layer Ku/K Dual-Band Orthogonally Polarized High-Efficiency Transmitarray Antenna. - Mingbo Cai; Zehong Yan; Fangfang Fan; Shuyang Yang; Xi Li (IEEE Access, 2021)

Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning. - Mingyu Song; Persis A. Baah; Ming Bo Cai; Yael Niv (PLoS Comput. Biol., 2022)

Learning 3D object-centric representation through prediction. - John Day; Tushar Arora; Jirui Liu; Li Erran Li; Mingbo Cai (CoRR, 2024)

Benefits of Feature Extraction and Temporal Sequence Analysis for Video Frame Prediction: An Evaluation of Hybrid Deep Learning Models. - Jose M. Sánchez Velázquez; Mingbo Cai; Andrew Coney; Álvaro J. García-Tejedor; Alberto Nogales (CoRR, 2025)