Junqi Wang

Orcid: 0000-0001-8843-7781

According to our database1, Junqi Wang authored at least 32 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks.
IEEE Trans. Medical Imaging, April, 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

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

ODMA Transmission and Joint Pattern and Data Recovery for Unsourced Multiple Access.
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

Efficient Discretization of Optimal Transport.
Entropy, 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

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

ZFP-X: Efficient Embedded Coding for Accelerating Lossy Floating Point Compression.
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

Brain Functional Connectivity Analysis via Graphical Deep Learning.
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

Efficient Discretizations of Optimal Transport.
CoRR, 2021

Distributionally-Constrained Policy Optimization via Unbalanced Optimal Transport.
CoRR, 2021

Total Variation Reduction for Lossless Compression of HPC Applications.
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
Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data.
IEEE Trans. Medical Imaging, 2020

Distributed networked localization using neighboring distances only through a computational topology control approach.
Int. J. Distributed Sens. Networks, 2020

A mathematical theory of cooperative communication.
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

Sequential Cooperative Bayesian Inference.
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

Learning to recognize opinion targets using recurrent neural networks.
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
A design approach for event-driven optimization in complex air conditioning systems.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017


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