We stand with Ukraine

We stand with Ukraine

Qi Tan

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024

FedPAGE: Pruning Adaptively Toward Global Efficiency of Heterogeneous Federated Learning.

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IEEE/ACM Trans. Netw., June, 2024

A deep reinforcement learning hyper-heuristic to solve order batching problem with mobile robots.

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Appl. Intell., May, 2024

Mutually Adaptable Learning.

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IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Deep reinforcement learning driven cost minimization for batch order scheduling in robotic mobile fulfillment systems.

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Expert Syst. Appl., 2024

Integrated block-wise neural network with auto-learning search framework for finger gesture recognition using sEMG signals.

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Artif. Intell. Medicine, 2024

Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach.

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Proceedings of the 33rd USENIX Security Symposium, 2024

Gamified Participatory Design Empowers Blind People's Emotional Experience - Take "Sound·Sound" as an Example.

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Proceedings of the Design, User Experience, and Usability, 2024

From Modeling to Fractals: Research on Prototyping of Augmented Fractal Tangram Blocks Set.

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Proceedings of the Design, User Experience, and Usability, 2024

2023

Optimal integration and bargaining decisions in asymmetric competing supply chains under virtual bargaining.

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Comput. Ind. Eng., August, 2023

GAN-Based Radar Spectrogram Augmentation via Diversity Injection Strategy.

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IEEE Trans. Instrum. Meas., 2023

HDGN: Heat diffusion graph network for few-shot learning.

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Pattern Recognit. Lett., 2023

Item Cold Start Recommendation via Adversarial Variational Auto-encoder Warm-up.

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Shenzheng Zhang

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CoRR, 2023

Playable Modeling: Interactive Learning Process in Science and Art.

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Proceedings of the Design, User Experience, and Usability, 2023

Gamified Participatory Exhibition Design Research for Future Museums.

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Proceedings of the Design, User Experience, and Usability, 2023

Channel Estimation for Massive MIMO: A Weighted Nuclear Norm Minimization Approach.

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Proceedings of the IEEE Global Communications Conference, 2023

2022

Continuous Estimation of Human Joint Angles From sEMG Using a Multi-Feature Temporal Convolutional Attention-Based Network.

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IEEE J. Biomed. Health Informatics, 2022

A Double Threshold Adaptive Method for Robust Detection of Muscle Activation Intervals From Surface Electromyographic Signals.

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IEEE Trans. Instrum. Meas., 2022

Collaboration-Enabled Intelligent Internet Architecture: Opportunities and Challenges.

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IEEE Netw., 2022

Deep non-negative tensor factorization with multi-way EMG data.

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Neural Comput. Appl., 2022

EU-Net: A novel semantic segmentation architecture for surface defect detection of mobile phone screens.

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IET Image Process., 2022

Characterizing human collective behaviours of COVID-19 in Hong Kong.

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Benjamin J. Cowling

CoRR, 2022

Congestion-Aware Modeling and Analysis of Sponsored Data Plan from End User Perspective.

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Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

Optimizing Global Influenza Surveillance for Locations with Deficient Data (Student Abstract).

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Benjamin J. Cowling

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Demystifying Deep Learning in Predictive Spatiotemporal Analytics: An Information-Theoretic Framework.

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IEEE Trans. Neural Networks Learn. Syst., 2021

New antiscatter grid design by optimization of strip thickness and height.

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Graeme L. White

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Int. J. Imaging Syst. Technol., 2021

Heterogeneous neural metric learning for spatio-temporal modeling of infectious diseases with incomplete data.

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Neurocomputing, 2021

A novel framework of graph Bayesian optimization and its applications to real-world network analysis.

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Expert Syst. Appl., 2021

An Adaptive DOA Estimation Method Based on Transfer Joint Matching for Space Communications.

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Proceedings of the International Symposium on Networks, Computers and Communications, 2021

Multi-layer satellite network resource management based on genetic algorithm.

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Proceedings of the International Symposium on Networks, Computers and Communications, 2021

2020

Complex heterogeneity learning: A theoretical and empirical study.

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Pattern Recognit., 2020

The determination of the optimal strip-thickness of anti-scatter grids for a given grid ratio and strip height.

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Graeme L. White

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Int. J. Imaging Syst. Technol., 2020

Motif-aware diffusion network inference.

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Int. J. Data Sci. Anal., 2020

Demystifying Deep Learning in Predictive Spatio-Temporal Analytics: An Information-Theoretic Framework.

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CoRR, 2020

Mesoscale Anisotropically-Connected Learning.

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Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

2019

Interference-aware lifetime maximization with joint routing and charging in wireless sensor networks.

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CCF Trans. Netw., 2019

Task-Adversarial Co-Generative Nets.

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Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

TDFI: Two-stage Deep Learning Framework for Friendship Inference via Multi-source Information.

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Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Deep Multi-Task Learning with Adversarial-and-Cooperative Nets.

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Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A GFK-Based SNR Adaptive DOA Estimation Method.

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Proceedings of the 19th IEEE International Conference on Communication Technology, 2019

Variable Power Communication: Physical Layer Security System for Space Communication.

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Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

2018

Function-on-Function Regression with Mode-Sparsity Regularization.

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ACM Trans. Knowl. Discov. Data, 2018

Feature co-shrinking for co-clustering.

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Pattern Recognit., 2018

Heterogeneous representation learning with separable structured sparsity regularization.

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Knowl. Inf. Syst., 2018

Adaptive Virtual Resource Allocation in 5G Network Slicing Using Constrained Markov Decision Process.

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IEEE Access, 2018

Public Health Surveillance with Incomplete Data - Spatio-Temporal Imputation for Inferring Infectious Disease Dynamics.

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Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

2017

Multi-task Function-on-function Regression with Co-grouping Structured Sparsity.

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Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2014

Knowledge transfer across different domain data with multiple views.

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Neural Comput. Appl., 2014

Cross-domain sentiment classification using deep learning approach.

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Proceedings of the IEEE 3rd International Conference on Cloud Computing and Intelligence Systems, 2014

2013

A link-bridged topic model for cross-domain document classification.

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Inf. Process. Manag., 2013

Heuristics to schedule uniform parallel batch processing machines with dynamic job arrivals.

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Int. J. Comput. Integr. Manuf., 2013

Scheduling unrelated parallel batch processing machines with non-identical job sizes.

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Comput. Oper. Res., 2013

2012

Kernel Mean Matching with a Large Margin.

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Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

Information-theoretic Multi-view Domain Adaptation.

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Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2009

An Information-Theoretic Approach for Multi-task Learning.

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Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

2008

Bayesian Task-Level Transfer Learning for Non-linear Regression.

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Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2002

Content enhancement for e-learning lecture video using foreground/background separation.

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Proceedings of the IEEE 5th Workshop on Multimedia Signal Processing, 2002

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