Yajie Bao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 31

Top Topics

Reinforcement Learning

Linear Discriminant Analysis

Top Venues

IEEE Control. Syst. Lett.

Publications

Yajie Bao, Tianwei Xing, Xun Chen
Confidence-based interactable neural-symbolic visual question answering. Neurocomputing 564 (2024)
Yajie Bao, Yuyang Huo, Haojie Ren, Changliang Zou
CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control. CoRR (2024)
Yajie Bao, Javad Mohammadpour Velni
Adaptive Uncertainty Quantification for Scenario-based Control Using Meta-learning of Bayesian Neural Networks. CoRR (2024)
Dongwei Sun, Yajie Bao, Xiangyong Cao
A Lightweight Transformer for Remote Sensing Image Change Captioning. CoRR (2024)
Yajie Bao, Amarda Shehu, Mingrui Liu
Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization. NeurIPS (2023)
Michael Crawshaw, Yajie Bao, Mingrui Liu
Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds. NeurIPS (2023)
Sahand Mosharafian, Yajie Bao, Javad Mohammadpour Velni
Scenario-Based Hybrid Model Predictive Design for Cooperative Adaptive Cruise Control in Mixed-Autonomy Environments. CDC (2023)
Yajie Bao, Haojie Ren
Semi-profiled distributed estimation for high-dimensional partially linear model. Comput. Stat. Data Anal. 188 (2023)
Yajie Bao, Javad Mohammadpour Velni
A Hybrid Neural Network Approach for Adaptive Scenario-Based Model Predictive Control in the LPV Framework. IEEE Control. Syst. Lett. 7 (2023)
Yajie Bao, Dan Shen, Genshe Chen, Khanh Pham, Erik Blasch
Resilient Range-Only Cooperative Positioning of Multiple Smart Unmanned Aerial Systems. SmartSP (2023)
Yajie Bao, Javad Mohammadpour Velni
Safe control of nonlinear systems in LPV framework using model-based reinforcement learning. Int. J. Control 96 (4) (2023)
Michael Crawshaw, Yajie Bao, Mingrui Liu
EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data. CoRR (2023)
Michael Crawshaw, Yajie Bao, Mingrui Liu
EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data. ICLR (2023)
Shirin Afzali, Yajie Bao, Marc W. van Iersel, Javad Mohammadpour Velni
Optimal Lighting Control in Greenhouses Using Bayesian Neural Networks for Sunlight Prediction. ECC (2022)
Yajie Bao, Vaishnavi Thesma, Atul Kelkar, Javad Mohammadpour Velni
Physics-guided and Energy-based Learning of Interconnected Systems: from Lagrangian to Port-Hamiltonian Systems. CDC (2022)
Shirin Afzali, Yajie Bao, Marc W. van Iersel, Javad Mohammadpour Velni
Optimal Lighting Control in Greenhouses Using Bayesian Neural Networks for Sunlight Prediction. CoRR (2022)
Yajie Bao, Yuyang Liu
Varying Coefficient Linear Discriminant Analysis for Dynamic Data. CoRR (2022)
Yajie Bao, Michael Crawshaw, Shan Luo, Mingrui Liu
Fast Composite Optimization and Statistical Recovery in Federated Learning. ICML (2022)
Yajie Bao, Michael Crawshaw, Shan Luo, Mingrui Liu
Fast Composite Optimization and Statistical Recovery in Federated Learning. CoRR (2022)
Sahand Mosharafian, Shirin Afzali, Yajie Bao, Javad Mohammadpour Velni
A Deep Reinforcement Learning-based Sliding Mode Control Design for Partially-known Nonlinear Systems. CoRR (2022)
Sahand Mosharafian, Shirin Afzali, Yajie Bao, Javad Mohammadpour Velni
A Deep Reinforcement Learning-based Sliding Mode Control Design for Partially-known Nonlinear Systems. ECC (2022)
Yajie Bao, Weidong Liu, Xiaojun Mao, Weijia Xiong
Byzantine-tolerant distributed multiclass sparse linear discriminant analysis. UAI (2022)
Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Zamir, Leonidas J. Guibas
An Information-Theoretic Approach to Transferability in Task Transfer Learning. CoRR (2022)
Yajie Bao, Hossam S. Abbas, Javad Mohammadpour Velni
A Learning- and Scenario-based MPC Design for Nonlinear Systems in LPV Framework with Safety and Stability Guarantees. CoRR (2022)
Yajie Bao, Kimberly J. Chan, Ali Mesbah, Javad Mohammadpour Velni
Learning-based Adaptive-Scenario-Tree Model Predictive Control with Probabilistic Safety Guarantees Using Bayesian Neural Networks. ACC (2022)
Yajie Bao, Javad Mohammadpour Velni, Mahdi Shahbakhti
Epistemic Uncertainty Quantification in State-Space LPV Model Identification Using Bayesian Neural Networks. IEEE Control. Syst. Lett. 5 (2) (2021)
Yajie Bao, Javad Mohammadpour Velni
Model-free Control Design Using Policy Gradient Reinforcement Learning in LPV Framework. ECC (2021)
Yajie Bao, Weijia Xiong
One-Round Communication Efficient Distributed M-Estimation. AISTATS (2021)
Yajie Bao, Javad Mohammadpour Velni
Data-Driven Linear Parameter-Varying Model Identification Using Transfer Learning. IEEE Control. Syst. Lett. 5 (5) (2021)
Yajie Bao, Javad Mohammadpour Velni
Data-driven Linear Parameter-varying Model Identification Using Transfer Learning. ACC (2021)
Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Roshan Zamir, Leonidas J. Guibas
An Information-Theoretic Approach to Transferability in Task Transfer Learning. ICIP (2019)