Qunwei Li

Orcid: 0000-0001-8211-8122

According to our database1, Qunwei Li authored at least 36 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Towards Efficient Replay in Federated Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
A Cubic Regularization Approach for Finding Local Minimax Points in Nonconvex Minimax Optimization.
Trans. Mach. Learn. Res., 2023

Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction.
IEEE Trans. Knowl. Data Eng., 2023

Edge-cloud Collaborative Learning with Federated and Centralized Features.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022
Quickest Change Detection in Anonymous Heterogeneous Sensor Networks.
IEEE Trans. Signal Process., 2022

Robust Decentralized Learning Using ADMM With Unreliable Agents.
IEEE Trans. Signal Process., 2022

Denoising Time Cycle Modeling for Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Human Decision Making with Bounded Rationality.
Proceedings of the IEEE International Conference on Acoustics, 2022

Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data.
SIAM J. Math. Data Sci., 2021

Utility-Theory-Based Optimal Resource Consumption for Inference in IoT Systems.
IEEE Internet Things J., 2021

Escaping Saddle Points in Nonconvex Minimax Optimization via Cubic-Regularized Gradient Descent-Ascent.
CoRR, 2021

A Computationally Efficient Algorithm for Quickest Change Detection in Anonymous Heterogeneous Sensor Networks.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Learning Graph Neural Networks with Approximate Gradient Descent.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers.
IEEE Trans. Signal Process., 2020

A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Quickest Change Detection In Anonymous Heterogeneous Sensor Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
K-Medoids Clustering of Data Sequences With Composite Distributions.
IEEE Trans. Signal Process., 2019

A Look at the Effect of Sample Design on Generalization through the Lens of Spectral Analysis.
CoRR, 2019

On Convex Stochastic Variance Reduced Gradient for Adversarial Machine Learning.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018
Nonparametric Composite Hypothesis Testing in an Asymptotic Regime.
IEEE J. Sel. Top. Signal Process., 2018

MR-GAN: Manifold Regularized Generative Adversarial Networks.
CoRR, 2018

Optimal Crowdsourced Classification with a Reject Option in the Presence of Spammers.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Decision Tree Design for Classification in Crowdsourcing Systems.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Robust AN-Aided Beamforming and Power Splitting Design for Secure MISO Cognitive Radio With SWIPT.
IEEE Trans. Wirel. Commun., 2017

Resource Allocation and Outage Analysis for an Adaptive Cognitive Two-Way Relay Network.
IEEE Trans. Wirel. Commun., 2017

Multi-Object Classification via Crowdsourcing With a Reject Option.
IEEE Trans. Signal Process., 2017

Robust Federated Learning Using ADMM in the Presence of Data Falsifying Byzantines.
CoRR, 2017

Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization.
Proceedings of the 34th International Conference on Machine Learning, 2017

Does Confidence Reporting from the Crowd Benefit Crowdsourcing Performance?
Proceedings of the 2nd International Workshop on Social Sensing, 2017

2016
Robust Max-Min Fairness Energy Harvesting in Secure MISO Cognitive Radio With SWIPT.
CoRR, 2016

Influential Node Detection in Implicit Social Networks using Multi-task Gaussian Copula Models.
Proceedings of the NIPS 2016 Time Series Workshop, 2016

2014
A Novel Sequential Spectrum Sensing Method in Cognitive Radio Using Suprathreshold Stochastic Resonance.
IEEE Trans. Veh. Technol., 2014

2013
A novel sequential spectrum sensing method in cognitive radio using suprathreshold stochastic resonance.
Proceedings of the 2013 IEEE Global Communications Conference, 2013

A power-efficient cloud-based compressive sensing video communication system.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

2012
A novel spectrum sensing method in cognitive radio based on suprathreshold stochastic resonance.
Proceedings of IEEE International Conference on Communications, 2012


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