Mingbo Cai

11 papers A* 1B 2Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Benefits of Feature Extraction and Temporal Sequence Analysis for Video Frame Prediction: An Evaluation of Hybrid Deep Learning Models. CoRR Jose M. Sánchez Velázquez, Mingbo Cai, Andrew Coney, Álvaro J. García-Tejedor, Alberto Nogales
2024	J	`jnl`	Learning 3D object-centric representation through prediction. CoRR John Day, Tushar Arora, Jirui Liu, Li Erran Li, Mingbo Cai
2021	J	`jnl`	Double-Layer Ku/K Dual-Band Orthogonally Polarized High-Efficiency Transmitarray Antenna. IEEE Access Mingbo Cai, Zehong Yan, Fangfang Fan, Shuyang Yang, Xi Li
2021	B	`conf`	Using Recurrent Neural Networks to Understand Human Reward Learning. CogSci Mingyu Song, Yael Niv, Mingbo Cai
2020	B	`conf`	Learning what is relevant for rewards via value-based serial hypothesis testing. CogSci Mingyu Song, Yael Niv, Mingbo Cai
2020	J	`jnl`	Wideband Low-Profile Luneburg Lens Based on a Glide-Symmetric Metasurface. IEEE Access Fangfang Fan, Mingbo Cai, Jiachen Zhang, Zehong Yan, Jinxiao Wu
2019	J	`jnl`	Disentangled Deep Autoencoding Regularization for Robust Image Classification. CoRR Zhenyu Duan, Martin Renqiang Min, Li Erran Li, Mingbo Cai, Yi Xu, Bingbing Ni
2019	J	`jnl`	Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias. PLoS Comput. Biol. Mingbo Cai, Nicolas W. Schuck, Jonathan W. Pillow, Yael Niv
2019	A*	`conf`	Transfer Learning via Minimizing the Performance Gap Between Domains. NeurIPS Boyu Wang, Jorge A. Mendez, Mingbo Cai, Eric Eaton
2016	—	`conf`	A Bayesian method for reducing bias in neural representational similarity analysis. NIPS Mingbo Cai, Nicolas W. Schuck, Jonathan W. Pillow, Yael Niv
2015	J	`jnl`	Reinforcement Learning applied to Single Neuron. CoRR Zhipeng Wang, Mingbo Cai