Junqi Wang
Orcid: 0000-0001-8843-7781
According to our database1,
Junqi Wang
authored at least 39 papers
between 2017 and 2024.
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Bibliography
2024
AMP: Total Variation Reduction for Lossless Compression via Approximate Median-based Preconditioning.
ACM Trans. Embed. Comput. Syst., November, 2024
Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks.
IEEE Trans. Medical Imaging, April, 2024
Supervised contrastive learning enhances graph convolutional networks for predicting neurodevelopmental deficits in very preterm infants using brain structural connectome.
NeuroImage, 2024
Score Neural Operator: A Generative Model for Learning and Generalizing Across Multiple Probability Distributions.
CoRR, 2024
Evaluating and Modeling Social Intelligence: A Comparative Study of Human and AI Capabilities.
CoRR, 2024
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents.
CoRR, 2024
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies.
CoRR, 2024
DFC-Igloo: A dynamic functional connectome learning framework for identifying neurodevelopmental biomarkers in very preterm infants.
Comput. Methods Programs Biomed., 2024
DAMS: Document Image Steganography with Dual Attention Multi-scale Encoder-Decoder Architecture.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
LAMP: Improving Compression Ratio for AMR Applications via Level Associated Mapping-Based Preconditioning.
IEEE Trans. Computers, December, 2023
Assessing the Spatiotemporal Evolution and Drivers of Ecological Environment Quality Using an Enhanced Remote Sensing Ecological Index in Lanzhou City, China.
Remote. Sens., October, 2023
Double penalized regularization estimation for partially linear instrumental variable models with ultrahigh dimensional instrumental variables.
Commun. Stat. Simul. Comput., October, 2023
IEEE Wirel. Commun. Lett., July, 2023
A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data.
IEEE Trans. Big Data, June, 2023
Implementation of Basic Reflex Functions on Musculoskeletal Robots Driven by Pneumatic Artificial Muscles.
IEEE Robotics Autom. Lett., April, 2023
Recent Advances in Luminescent Metal-Organic Frameworks for Detection of Gas and Volatile Organic Molecules.
IEEE Trans. Instrum. Meas., 2023
Dynamic weighted hypergraph convolutional network for brain functional connectome analysis.
Medical Image Anal., 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
2022
zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement.
IEEE Trans. Parallel Distributed Syst., 2022
IEEE Trans. Biomed. Eng., 2022
Dynamic Characteristic Analysis of Current-coordinated Control Strategy to Improve Renewable Energy Consumption.
Proceedings of the 7th International Conference on Cyber Security and Information Engineering, 2022
2021
Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction.
IEEE Trans. Biomed. Eng., 2021
CoRR, 2021
Proceedings of the 34th IEEE International System-on-Chip Conference, 2021
zMesh: Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
2020
IEEE Trans. Medical Imaging, 2020
Distributed networked localization using neighboring distances only through a computational topology control approach.
Int. J. Distributed Sens. Networks, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Graph Laplacian learning based Fourier Transform for brain network analysis with resting state fMRI.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Update Algebra: Toward Continuous, Non-Blocking Composition of Network Updates in SDN.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
2018
A Practical Multi-Sensor Cooling Demand Estimation Approach Based on Visual, Indoor and Outdoor Information Sensing.
Sensors, 2018
Pattern Recognit. Lett., 2018
Integration of network topological features and graph Fourier transform for fMRI data analysis.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017