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Qunwei Li

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Denoising Time Cycle Modeling for Recommendation

Feb 05, 2024
Sicong Xie, Qunwei Li, Weidi Xu, Kaiming Shen, Shaohu Chen, Wenliang Zhong

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Edge-cloud Collaborative Learning with Federated and Centralized Features

Apr 12, 2023
Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu

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Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations

Nov 23, 2022
Ningning Li, Qunwei Li, Xichen Ding, Shaohu Chen, Wenliang Zhong

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Quickest Change Detection in Anonymous Heterogeneous Sensor Networks

Feb 26, 2022
Zhongchang Sun, Shaofeng Zou, Ruizhi Zhang, Qunwei Li

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Escaping Saddle Points in Nonconvex Minimax Optimization via Cubic-Regularized Gradient Descent-Ascent

Oct 15, 2021
Ziyi Chen, Qunwei Li, Yi Zhou

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Learning Graph Neural Networks with Approximate Gradient Descent

Dec 07, 2020
Qunwei Li, Shaofeng Zou, Wenliang Zhong

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Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers

Sep 03, 2019
Baocheng Geng, Qunwei Li, Pramod K. Varshney

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A Look at the Effect of Sample Design on Generalization through the Lens of Spectral Analysis

Jun 08, 2019
Bhavya Kailkhura, Jayaraman J. Thiagarajan, Qunwei Li, Peer-Timo Bremer

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MR-GAN: Manifold Regularized Generative Adversarial Networks

Nov 22, 2018
Qunwei Li, Bhavya Kailkhura, Rushil Anirudh, Yi Zhou, Yingbin Liang, Pramod Varshney

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