Yajie Bao

According to our database, Yajie Bao authored at least 22 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Confidence-based interactable neural-symbolic visual question answering.

Yajie Bao, Tianwei Xing, Xun Chen

Neurocomputing, January, 2024

CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control.

Yajie Bao, Yuyang Huo, Haojie Ren, Changliang Zou

CoRR, 2024

2023

Semi-profiled distributed estimation for high-dimensional partially linear model.

Yajie Bao, Haojie Ren

Comput. Stat. Data Anal., December, 2023

Safe control of nonlinear systems in LPV framework using model-based reinforcement learning.

Yajie Bao, Javad Mohammadpour Velni

Int. J. Control, April, 2023

A Hybrid Neural Network Approach for Adaptive Scenario-Based Model Predictive Control in the LPV Framework.

Yajie Bao, Javad Mohammadpour Velni

IEEE Control. Syst. Lett., 2023

Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds.

Michael Crawshaw, Yajie Bao, Mingrui Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization.

Yajie Bao, Amarda Shehu, Mingrui Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data.

Michael Crawshaw, Yajie Bao, Mingrui Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Scenario-Based Hybrid Model Predictive Design for Cooperative Adaptive Cruise Control in Mixed-Autonomy Environments.

Sahand Mosharafian, Yajie Bao, Javad Mohammadpour Velni

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

A Learning- and Scenario-based MPC Design for Nonlinear Systems in LPV Framework with Safety and Stability Guarantees.

Yajie Bao, Hossam S. Abbas, Javad Mohammadpour Velni

CoRR, 2022

Varying Coefficient Linear Discriminant Analysis for Dynamic Data.

Yajie Bao, Yuyang Liu

CoRR, 2022

Byzantine-tolerant distributed multiclass sparse linear discriminant analysis.

Yajie Bao, Weidong Liu, Xiaojun Mao, Weijia Xiong

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Fast Composite Optimization and Statistical Recovery in Federated Learning.

Yajie Bao, Michael Crawshaw, Shan Luo, Mingrui Liu

Proceedings of the International Conference on Machine Learning, 2022

A Deep Reinforcement Learning-based Sliding Mode Control Design for Partially-known Nonlinear Systems.

Sahand Mosharafian, Shirin Afzali, Yajie Bao, Javad Mohammadpour Velni

Proceedings of the European Control Conference, 2022

Optimal Lighting Control in Greenhouses Using Bayesian Neural Networks for Sunlight Prediction.

Shirin Afzali, Yajie Bao, Marc W. van Iersel, Javad Mohammadpour Velni

Proceedings of the European Control Conference, 2022

Physics-guided and Energy-based Learning of Interconnected Systems: from Lagrangian to Port-Hamiltonian Systems.

Yajie Bao, Vaishnavi Thesma, Atul Kelkar, Javad Mohammadpour Velni

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Learning-based Adaptive-Scenario-Tree Model Predictive Control with Probabilistic Safety Guarantees Using Bayesian Neural Networks.

Yajie Bao, Kimberly J. Chan, Ali Mesbah, Javad Mohammadpour Velni

Proceedings of the American Control Conference, 2022

2021

Epistemic Uncertainty Quantification in State-Space LPV Model Identification Using Bayesian Neural Networks.

Yajie Bao, Javad Mohammadpour Velni, Mahdi Shahbakhti

IEEE Control. Syst. Lett., 2021

Data-Driven Linear Parameter-Varying Model Identification Using Transfer Learning.

Yajie Bao, Javad Mohammadpour Velni

IEEE Control. Syst. Lett., 2021

Model-free Control Design Using Policy Gradient Reinforcement Learning in LPV Framework.

Yajie Bao, Javad Mohammadpour Velni

Proceedings of the 2021 European Control Conference, 2021

One-Round Communication Efficient Distributed M-Estimation.

Yajie Bao, Weijia Xiong

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019

An Information-Theoretic Approach to Transferability in Task Transfer Learning.

Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Zamir, Leonidas J. Guibas

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019