A novel spectrum sensing method in cognitive radio based on suprathreshold stochastic resonance. - Qunwei Li; Zan Li 001; Jian Shen; Rui Gao 005 (ICC, 2012)

A power-efficient cloud-based compressive sensing video communication system. - Mengsi Wang; Song Xiao 001; Lei Quan; Qunwei Li (APSIPA, 2013)

A novel sequential spectrum sensing method in cognitive radio using suprathreshold stochastic resonance. - Qunwei Li; Zan Li 001; Jiangbo Si; Rui Gao 005 (GLOBECOM, 2013)

A Novel Sequential Spectrum Sensing Method in Cognitive Radio Using Suprathreshold Stochastic Resonance. - Qunwei Li; Zan Li (IEEE Trans. Veh. Technol., 2014)

Influential Node Detection in Implicit Social Networks using Multi-task Gaussian Copula Models. - Qunwei Li; Bhavya Kailkhura; Jayaraman J. Thiagarajan; Zhenliang Zhang; Pramod K. Varshney (NIPS Time Series Workshop, 2016)

Robust Max-Min Fairness Energy Harvesting in Secure MISO Cognitive Radio With SWIPT. - Fuhui Zhou; Zan Li 001; Julian Cheng; Qunwei Li; Jiangbo Si (CoRR, 2016)

Does Confidence Reporting from the Crowd Benefit Crowdsourcing Performance? - Qunwei Li; Pramod K. Varshney (SocialSens@CPSWeek, 2017)

Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization. - Qunwei Li; Yi Zhou 017; Yingbin Liang; Pramod K. Varshney (ICML, 2017)

Robust Federated Learning Using ADMM in the Presence of Data Falsifying Byzantines. - Qunwei Li; Bhavya Kailkhura; Ryan A. Goldhahn; Priyadip Ray; Pramod K. Varshney (CoRR, 2017)

Multi-Object Classification via Crowdsourcing With a Reject Option. - Qunwei Li; Aditya Vempaty; Lav R. Varshney; Pramod K. Varshney (IEEE Trans. Signal Process., 2017)

Resource Allocation and Outage Analysis for an Adaptive Cognitive Two-Way Relay Network. - Qunwei Li; Pramod K. Varshney (IEEE Trans. Wirel. Commun., 2017)

Robust AN-Aided Beamforming and Power Splitting Design for Secure MISO Cognitive Radio With SWIPT. - Fuhui Zhou; Zan Li 001; Julian Cheng; Qunwei Li; Jiangbo Si (IEEE Trans. Wirel. Commun., 2017)

Decision Tree Design for Classification in Crowdsourcing Systems. - Baocheng Geng; Qunwei Li; Pramod K. Varshney (ACSSC, 2018)

Optimal Crowdsourced Classification with a Reject Option in the Presence of Spammers. - Qunwei Li; Pramod K. Varshney (ICASSP, 2018)

MR-GAN: Manifold Regularized Generative Adversarial Networks. - Qunwei Li; Bhavya Kailkhura; Rushil Anirudh; Yi Zhou 017; Yingbin Liang; Pramod K. Varshney (CoRR, 2018)

Nonparametric Composite Hypothesis Testing in an Asymptotic Regime. - Qunwei Li; Tiexing Wang; Donald J. Bucci; Yingbin Liang; Biao Chen 001; Pramod K. Varshney (IEEE J. Sel. Top. Signal Process., 2018)

On Convex Stochastic Variance Reduced Gradient for Adversarial Machine Learning. - Saikiran Bulusu; Qunwei Li; Pramod K. Varshney (GlobalSIP, 2019)

A Look at the Effect of Sample Design on Generalization through the Lens of Spectral Analysis. - Bhavya Kailkhura; Jayaraman J. Thiagarajan; Qunwei Li; Peer-Timo Bremer (CoRR, 2019)

K-Medoids Clustering of Data Sequences With Composite Distributions. - Tiexing Wang; Qunwei Li; Donald J. Bucci; Yingbin Liang; Biao Chen 001; Pramod K. Varshney (IEEE Trans. Signal Process., 2019)

Quickest Change Detection In Anonymous Heterogeneous Sensor Networks. - Zhongchang Sun; Shaofeng Zou; Qunwei Li (ICASSP, 2020)

A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning. - Bhavya Kailkhura; Jayaraman J. Thiagarajan; Qunwei Li; Jize Zhang; Yi Zhou; Timo Bremer (NeurIPS, 2020)

Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers. - Baocheng Geng; Qunwei Li; Pramod K. Varshney (IEEE Trans. Signal Process., 2020)

Learning Graph Neural Networks with Approximate Gradient Descent. - Qunwei Li; Shaofeng Zou; Wenliang Zhong (AAAI, 2021)

A Computationally Efficient Algorithm for Quickest Change Detection in Anonymous Heterogeneous Sensor Networks. - Zhongchang Sun; Qunwei Li; Ruizhi Zhang 001; Shaofeng Zou (ISIT, 2021)

Escaping Saddle Points in Nonconvex Minimax Optimization via Cubic-Regularized Gradient Descent-Ascent. - Ziyi Chen 002; Qunwei Li; Yi Zhou 017 (CoRR, 2021)

Utility-Theory-Based Optimal Resource Consumption for Inference in IoT Systems. - Baocheng Geng; Qunwei Li; Pramod K. Varshney (IEEE Internet Things J., 2021)

MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data. - Qunwei Li; Bhavya Kailkhura; Rushil Anirudh; Jize Zhang; Yi Zhou 017; Yingbin Liang; Thomas Yong-Jin Han; Pramod K. Varshney (SIAM J. Math. Data Sci., 2021)

Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations. - Ningning Li; Qunwei Li; Xichen Ding; Shaohu Chen; Wenliang Zhong (CIKM, 2022)

Human Decision Making with Bounded Rationality. - Baocheng Geng; Qunwei Li; Pramod K. Varshney (ICASSP, 2022)

Denoising Time Cycle Modeling for Recommendation. - Sicong Xie; Qunwei Li; Weidi Xu; Kaiming Shen; Shaohu Chen; Wenliang Zhong (SIGIR, 2022)

Robust Decentralized Learning Using ADMM With Unreliable Agents. - Qunwei Li; Bhavya Kailkhura; Ryan A. Goldhahn; Priyadip Ray; Pramod K. Varshney (IEEE Trans. Signal Process., 2022)

Quickest Change Detection in Anonymous Heterogeneous Sensor Networks. - Zhongchang Sun; Shaofeng Zou; Ruizhi Zhang 001; Qunwei Li (IEEE Trans. Signal Process., 2022)

Edge-cloud Collaborative Learning with Federated and Centralized Features. - Zexi Li 001; Qunwei Li; Yi Zhou; Wenliang Zhong; Guannan Zhang; Chao Wu 001 (SIGIR, 2023)

Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction. - Youru Li; Xiaobo Guo; Wenfang Lin; Mingjie Zhong; Qunwei Li; Zhongyi Liu; Wenliang Zhong; Zhenfeng Zhu (IEEE Trans. Knowl. Data Eng., 2023)

A Cubic Regularization Approach for Finding Local Minimax Points in Nonconvex Minimax Optimization. - Ziyi Chen; Zhengyang Hu 002; Qunwei Li; Zhe Wang; Yi Zhou (Trans. Mach. Learn. Res., 2023)

Towards Efficient Replay in Federated Incremental Learning. - Yichen Li 006; Qunwei Li; Haozhao Wang; Ruixuan Li 001; Wenliang Zhong; Guannan Zhang (CVPR, 2024)

Towards Principled Learning for Re-ranking in Recommender Systems. - Qunwei Li; Linghui Li; Jianbin Lin; Wenliang Zhong (SIGIR, 2025)