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2020 – today
- 2024
[j7]Yajie Bao
, Tianwei Xing, Xun Chen:
Confidence-based interactable neural-symbolic visual question answering. Neurocomputing 564: 126991 (2024)- [j6]Dongwei Sun, Yajie Bao, Junmin Liu, Xiangyong Cao:
A Lightweight Sparse Focus Transformer for Remote Sensing Image Change Captioning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 18727-18738 (2024) - [c17]Zhengyang Fan, Dan Shen, Yajie Bao, Khanh Pham, Erik Blasch, Genshe Chen:
RNN-UKF: Enhancing Hyperparameter Auto-Tuning in Unscented Kalman Filters through Recurrent Neural Networks. FUSION 2024: 1-8 - [c16]Yajie Bao, Michael Crawshaw, Mingrui Liu:
Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective. ICML 2024 - [i10]Yajie Bao, Yuyang Huo, Haojie Ren, Changliang Zou:
CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control. CoRR abs/2403.07728 (2024) - [i9]Dongwei Sun, Yajie Bao, Xiangyong Cao:
A Lightweight Transformer for Remote Sensing Image Change Captioning. CoRR abs/2405.06598 (2024) - [i8]Yajie Bao, Javad Mohammadpour Velni:
Adaptive Uncertainty Quantification for Scenario-based Control Using Meta-learning of Bayesian Neural Networks. CoRR abs/2407.14492 (2024) - 2023
- [j5]Yajie Bao, Haojie Ren:
Semi-profiled distributed estimation for high-dimensional partially linear model. Comput. Stat. Data Anal. 188: 107824 (2023) - [j4]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: 1921-1926 (2023) - [j3]Yajie Bao, Javad Mohammadpour Velni:
Safe control of nonlinear systems in LPV framework using model-based reinforcement learning. Int. J. Control 96(4): 1079-1090 (2023) - [c15]Sahand Mosharafian, Yajie Bao, Javad Mohammadpour Velni:
Scenario-Based Hybrid Model Predictive Design for Cooperative Adaptive Cruise Control in Mixed-Autonomy Environments. CDC 2023: 6104-6109 - [c14]Michael Crawshaw, Yajie Bao, Mingrui Liu:
EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data. ICLR 2023 - [c13]Yajie Bao, Amarda Shehu, Mingrui Liu:
Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization. NeurIPS 2023 - [c12]Michael Crawshaw, Yajie Bao, Mingrui Liu:
Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds. NeurIPS 2023 - [c11]Yajie Bao, Dan Shen, Genshe Chen, Khanh Pham, Erik Blasch:
Resilient Range-Only Cooperative Positioning of Multiple Smart Unmanned Aerial Systems. SmartSP 2023: 130-147 - [i7]Michael Crawshaw, Yajie Bao, Mingrui Liu:
EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data. CoRR abs/2302.07155 (2023) - 2022
- [c10]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: 3260-3265 - [c9]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: 2815-2820 - [c8]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: 1140-1145 - [c7]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: 2241-2246 - [c6]Yajie Bao, Michael Crawshaw, Shan Luo, Mingrui Liu:
Fast Composite Optimization and Statistical Recovery in Federated Learning. ICML 2022: 1508-1536 - [c5]Yajie Bao, Weidong Liu, Xiaojun Mao, Weijia Xiong:
Byzantine-tolerant distributed multiclass sparse linear discriminant analysis. UAI 2022: 129-138 - [i6]Yajie Bao, Yuyang Liu:
Varying Coefficient Linear Discriminant Analysis for Dynamic Data. CoRR abs/2203.06371 (2022) - [i5]Sahand Mosharafian, Shirin Afzali, Yajie Bao, Javad Mohammadpour Velni:
A Deep Reinforcement Learning-based Sliding Mode Control Design for Partially-known Nonlinear Systems. CoRR abs/2205.02975 (2022) - [i4]Shirin Afzali, Yajie Bao, Marc W. van Iersel, Javad Mohammadpour Velni:
Optimal Lighting Control in Greenhouses Using Bayesian Neural Networks for Sunlight Prediction. CoRR abs/2205.03733 (2022) - [i3]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 abs/2206.02880 (2022) - [i2]Yajie Bao, Michael Crawshaw, Shan Luo, Mingrui Liu:
Fast Composite Optimization and Statistical Recovery in Federated Learning. CoRR abs/2207.08204 (2022) - [i1]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 abs/2212.10082 (2022) - 2021
- [j2]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): 719-724 (2021) - [j1]Yajie Bao, Javad Mohammadpour Velni:
Data-Driven Linear Parameter-Varying Model Identification Using Transfer Learning. IEEE Control. Syst. Lett. 5(5): 1579-1584 (2021) - [c4]Yajie Bao, Weijia Xiong:
One-Round Communication Efficient Distributed M-Estimation. AISTATS 2021: 46-54 - [c3]Yajie Bao, Javad Mohammadpour Velni:
Data-driven Linear Parameter-varying Model Identification Using Transfer Learning. ACC 2021: 2569-2574 - [c2]Yajie Bao, Javad Mohammadpour Velni:
Model-free Control Design Using Policy Gradient Reinforcement Learning in LPV Framework. ECC 2021: 150-155
2010 – 2019
- 2019
- [c1]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. ICIP 2019: 2309-2313
Coauthor Index
aka: Javad Mohammadpour Velni
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