Qi Tan

Orcid: 0000-0002-0831-7999

According to our database1, Qi Tan authored at least 50 papers between 2002 and 2024.

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Bibliography

2024
Mutually Adaptable Learning.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach.
CoRR, 2024

2023
Optimal integration and bargaining decisions in asymmetric competing supply chains under virtual bargaining.
Comput. Ind. Eng., August, 2023

GAN-Based Radar Spectrogram Augmentation via Diversity Injection Strategy.
IEEE Trans. Instrum. Meas., 2023

HDGN: Heat diffusion graph network for few-shot learning.
Pattern Recognit. Lett., 2023

Item Cold Start Recommendation via Adversarial Variational Auto-encoder Warm-up.
CoRR, 2023

Playable Modeling: Interactive Learning Process in Science and Art.
Proceedings of the Design, User Experience, and Usability, 2023

Gamified Participatory Exhibition Design Research for Future Museums.
Proceedings of the Design, User Experience, and Usability, 2023

Channel Estimation for Massive MIMO: A Weighted Nuclear Norm Minimization Approach.
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.
IEEE J. Biomed. Health Informatics, 2022

A Double Threshold Adaptive Method for Robust Detection of Muscle Activation Intervals From Surface Electromyographic Signals.
IEEE Trans. Instrum. Meas., 2022

Collaboration-Enabled Intelligent Internet Architecture: Opportunities and Challenges.
IEEE Netw., 2022

Deep non-negative tensor factorization with multi-way EMG data.
Neural Comput. Appl., 2022

EU-Net: A novel semantic segmentation architecture for surface defect detection of mobile phone screens.
IET Image Process., 2022

Characterizing human collective behaviours of COVID-19 in Hong Kong.
CoRR, 2022

Congestion-Aware Modeling and Analysis of Sponsored Data Plan from End User Perspective.
Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

Optimizing Global Influenza Surveillance for Locations with Deficient Data (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Demystifying Deep Learning in Predictive Spatiotemporal Analytics: An Information-Theoretic Framework.
IEEE Trans. Neural Networks Learn. Syst., 2021

New antiscatter grid design by optimization of strip thickness and height.
Int. J. Imaging Syst. Technol., 2021

Heterogeneous neural metric learning for spatio-temporal modeling of infectious diseases with incomplete data.
Neurocomputing, 2021

A novel framework of graph Bayesian optimization and its applications to real-world network analysis.
Expert Syst. Appl., 2021

An Adaptive DOA Estimation Method Based on Transfer Joint Matching for Space Communications.
Proceedings of the International Symposium on Networks, Computers and Communications, 2021

Multi-layer satellite network resource management based on genetic algorithm.
Proceedings of the International Symposium on Networks, Computers and Communications, 2021

2020
Complex heterogeneity learning: A theoretical and empirical study.
Pattern Recognit., 2020

The determination of the optimal strip-thickness of anti-scatter grids for a given grid ratio and strip height.
Int. J. Imaging Syst. Technol., 2020

Motif-aware diffusion network inference.
Int. J. Data Sci. Anal., 2020

Demystifying Deep Learning in Predictive Spatio-Temporal Analytics: An Information-Theoretic Framework.
CoRR, 2020

Mesoscale Anisotropically-Connected Learning.
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.
CCF Trans. Netw., 2019

Task-Adversarial Co-Generative Nets.
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.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Deep Multi-Task Learning with Adversarial-and-Cooperative Nets.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A GFK-Based SNR Adaptive DOA Estimation Method.
Proceedings of the 19th IEEE International Conference on Communication Technology, 2019

Variable Power Communication: Physical Layer Security System for Space Communication.
Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

2018
Function-on-Function Regression with Mode-Sparsity Regularization.
ACM Trans. Knowl. Discov. Data, 2018

Feature co-shrinking for co-clustering.
Pattern Recognit., 2018

Heterogeneous representation learning with separable structured sparsity regularization.
Knowl. Inf. Syst., 2018

Adaptive Virtual Resource Allocation in 5G Network Slicing Using Constrained Markov Decision Process.
IEEE Access, 2018

Public Health Surveillance with Incomplete Data - Spatio-Temporal Imputation for Inferring Infectious Disease Dynamics.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

2017
Multi-task Function-on-function Regression with Co-grouping Structured Sparsity.
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.
Neural Comput. Appl., 2014

Cross-domain sentiment classification using deep learning approach.
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.
Inf. Process. Manag., 2013

Heuristics to schedule uniform parallel batch processing machines with dynamic job arrivals.
Int. J. Comput. Integr. Manuf., 2013

Scheduling unrelated parallel batch processing machines with non-identical job sizes.
Comput. Oper. Res., 2013

2012
Kernel Mean Matching with a Large Margin.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

Information-theoretic Multi-view Domain Adaptation.
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.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

2008
Bayesian Task-Level Transfer Learning for Non-linear Regression.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2002
Content enhancement for e-learning lecture video using foreground/background separation.
Proceedings of the IEEE 5th Workshop on Multimedia Signal Processing, 2002


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