Qunwei Li - RankMe

56 papers A* 7A 1B 2Misc 4Journal 37Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FedBiF: Communication-Efficient Federated Learning via Bits Freezing. CoRR Shiwei Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Jianbin Lin, Wenliang Zhong
2025	J	`jnl`	FedBiF: Communication-Efficient Federated Learning via Bits Freezing. IEEE Trans. Parallel Distributed Syst. Shiwei Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Jianbin Lin, Wenliang Zhong
2025	A*	`conf`	Towards Principled Learning for Re-ranking in Recommender Systems. SIGIR Qunwei Li, Linghui Li, Jianbin Lin, Wenliang Zhong
2025	J	`jnl`	Towards Principled Learning for Re-ranking in Recommender Systems. CoRR Qunwei Li, Linghui Li, Jianbin Lin, Wenliang Zhong
2024	J	`jnl`	Denoising Time Cycle Modeling for Recommendation. CoRR Sicong Xie, Qunwei Li, Weidi Xu, Kaiming Shen, Shaohu Chen, Wenliang Zhong
2024	A*	`conf`	Towards Efficient Replay in Federated Incremental Learning. CVPR Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang
2024	J	`jnl`	Towards Efficient Replay in Federated Incremental Learning. CoRR Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang
2023	J	`jnl`	A Cubic Regularization Approach for Finding Local Minimax Points in Nonconvex Minimax Optimization. Trans. Mach. Learn. Res. Ziyi Chen, Zhengyang Hu, Qunwei Li, Zhe Wang, Yi Zhou
2023	A*	`conf`	Edge-cloud Collaborative Learning with Federated and Centralized Features. SIGIR Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu
2023	J	`jnl`	Edge-cloud Collaborative Learning with Federated and Centralized Features. CoRR Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu
2023	J	`jnl`	Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction. IEEE Trans. Knowl. Data Eng. Youru Li, Xiaobo Guo, Wenfang Lin, Mingjie Zhong, Qunwei Li, Zhongyi Liu, Wenliang Zhong, Zhenfeng Zhu
2022	A*	`conf`	Denoising Time Cycle Modeling for Recommendation. SIGIR Sicong Xie, Qunwei Li, Weidi Xu, Kaiming Shen, Shaohu Chen, Wenliang Zhong
2022	Misc	`conf`	Human Decision Making with Bounded Rationality. ICASSP Baocheng Geng, Qunwei Li, Pramod K. Varshney
2022	A	`conf`	Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations. CIKM Ningning Li, Qunwei Li, Xichen Ding, Shaohu Chen, Wenliang Zhong
2022	J	`jnl`	Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations. CoRR Ningning Li, Qunwei Li, Xichen Ding, Shaohu Chen, Wenliang Zhong
2022	J	`jnl`	Quickest Change Detection in Anonymous Heterogeneous Sensor Networks. IEEE Trans. Signal Process. Zhongchang Sun, Shaofeng Zou, Ruizhi Zhang, Qunwei Li
2022	J	`jnl`	Robust Decentralized Learning Using ADMM With Unreliable Agents. IEEE Trans. Signal Process. Qunwei Li, Bhavya Kailkhura, Ryan A. Goldhahn, Priyadip Ray, Pramod K. Varshney
2021	B	`conf`	A Computationally Efficient Algorithm for Quickest Change Detection in Anonymous Heterogeneous Sensor Networks. ISIT Zhongchang Sun, Qunwei Li, Ruizhi Zhang, Shaofeng Zou
2021	J	`jnl`	Escaping Saddle Points in Nonconvex Minimax Optimization via Cubic-Regularized Gradient Descent-Ascent. CoRR Ziyi Chen, Qunwei Li, Yi Zhou
2021	A*	`conf`	Learning Graph Neural Networks with Approximate Gradient Descent. AAAI Qunwei Li, Shaofeng Zou, Wenliang Zhong
2021	J	`jnl`	MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data. SIAM J. Math. Data Sci. Qunwei Li, Bhavya Kailkhura, Rushil Anirudh, Jize Zhang, Yi Zhou, Yingbin Liang, Thomas Yong-Jin Han, Pramod K. Varshney
2021	J	`jnl`	Utility-Theory-Based Optimal Resource Consumption for Inference in IoT Systems. IEEE Internet Things J. Baocheng Geng, Qunwei Li, Pramod K. Varshney
2020	A*	`conf`	A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning. NeurIPS Bhavya Kailkhura, Jayaraman J. Thiagarajan, Qunwei Li, Jize Zhang, Yi Zhou, Timo Bremer
2020	J	`jnl`	Learning Graph Neural Networks with Approximate Gradient Descent. CoRR Qunwei Li, Shaofeng Zou, Wenliang Zhong
2020	J	`jnl`	Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers. IEEE Trans. Signal Process. Baocheng Geng, Qunwei Li, Pramod K. Varshney
2020	Misc	`conf`	Quickest Change Detection In Anonymous Heterogeneous Sensor Networks. ICASSP Zhongchang Sun, Shaofeng Zou, Qunwei Li
2019	J	`jnl`	A Look at the Effect of Sample Design on Generalization through the Lens of Spectral Analysis. CoRR Bhavya Kailkhura, Jayaraman J. Thiagarajan, Qunwei Li, Peer-Timo Bremer
2019	J	`jnl`	K-Medoids Clustering of Data Sequences With Composite Distributions. IEEE Trans. Signal Process. Tiexing Wang, Qunwei Li, Donald J. Bucci, Yingbin Liang, Biao Chen, Pramod K. Varshney
2019	—	`conf`	On Convex Stochastic Variance Reduced Gradient for Adversarial Machine Learning. GlobalSIP Saikiran Bulusu, Qunwei Li, Pramod K. Varshney
2019	J	`jnl`	Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers. CoRR Baocheng Geng, Qunwei Li, Pramod K. Varshney
2018	Misc	`conf`	Decision Tree Design for Classification in Crowdsourcing Systems. ACSSC Baocheng Geng, Qunwei Li, Pramod K. Varshney
2018	J	`jnl`	Decision Tree Design for Classification in Crowdsourcing Systems. CoRR Baocheng Geng, Qunwei Li, Pramod K. Varshney
2018	J	`jnl`	K-medoids Clustering of Data Sequences with Composite Distributions. CoRR Tiexing Wang, Qunwei Li, Donald J. Bucci, Yingbin Liang, Biao Chen, Pramod K. Varshney
2018	J	`jnl`	MR-GAN: Manifold Regularized Generative Adversarial Networks. CoRR Qunwei Li, Bhavya Kailkhura, Rushil Anirudh, Yi Zhou, Yingbin Liang, Pramod K. Varshney
2018	J	`jnl`	Nonparametric Composite Hypothesis Testing in an Asymptotic Regime. IEEE J. Sel. Top. Signal Process. Qunwei Li, Tiexing Wang, Donald J. Bucci, Yingbin Liang, Biao Chen, Pramod K. Varshney
2018	Misc	`conf`	Optimal Crowdsourced Classification with a Reject Option in the Presence of Spammers. ICASSP Qunwei Li, Pramod K. Varshney
2017	A*	`conf`	Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization. ICML Qunwei Li, Yi Zhou, Yingbin Liang, Pramod K. Varshney
2017	J	`jnl`	Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization. CoRR Qunwei Li, Yi Zhou, Yingbin Liang, Pramod K. Varshney
2017	—	`conf`	Does Confidence Reporting from the Crowd Benefit Crowdsourcing Performance? SocialSens@CPSWeek Qunwei Li, Pramod K. Varshney
2017	J	`jnl`	Does Confidence Reporting from the Crowd Benefit Crowdsourcing Performance? CoRR Qunwei Li, Pramod K. Varshney
2017	J	`jnl`	Multi-Object Classification via Crowdsourcing With a Reject Option. IEEE Trans. Signal Process. Qunwei Li, Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney
2017	J	`jnl`	Nonparametric Composite Hypothesis Testing in an Asymptotic Regime. CoRR Qunwei Li, Tiexing Wang, Donald J. Bucci, Yingbin Liang, Biao Chen, Pramod K. Varshney
2017	J	`jnl`	Optimal Crowdsourced Classification with a Reject Option in the Presence of Spammers. CoRR Qunwei Li, Pramod K. Varshney
2017	J	`jnl`	Resource Allocation and Outage Analysis for an Adaptive Cognitive Two-Way Relay Network. IEEE Trans. Wirel. Commun. Qunwei Li, Pramod K. Varshney
2017	J	`jnl`	Robust AN-Aided Beamforming and Power Splitting Design for Secure MISO Cognitive Radio With SWIPT. IEEE Trans. Wirel. Commun. Fuhui Zhou, Zan Li, Julian Cheng, Qunwei Li, Jiangbo Si
2017	J	`jnl`	Robust Federated Learning Using ADMM in the Presence of Data Falsifying Byzantines. CoRR Qunwei Li, Bhavya Kailkhura, Ryan A. Goldhahn, Priyadip Ray, Pramod K. Varshney
2016	—	`conf`	Influential Node Detection in Implicit Social Networks using Multi-task Gaussian Copula Models. NIPS Time Series Workshop Qunwei Li, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Zhenliang Zhang, Pramod K. Varshney
2016	J	`jnl`	Influential Node Detection in Implicit Social Networks using Multi-task Gaussian Copula Models. CoRR Qunwei Li, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Zhenliang Zhang, Pramod K. Varshney
2016	J	`jnl`	Multi-object Classification via Crowdsourcing with a Reject Option. CoRR Qunwei Li, Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney
2016	J	`jnl`	Robust AN-Aided Beamforming and Power Splitting Design for Secure MISO Cognitive Radio With SWIPT. CoRR Fuhui Zhou, Zan Li, Julian Cheng, Qunwei Li, Jiangbo Si
2016	J	`jnl`	Robust Max-Min Fairness Energy Harvesting in Secure MISO Cognitive Radio With SWIPT. CoRR Fuhui Zhou, Zan Li, Julian Cheng, Qunwei Li, Jiangbo Si
2015	J	`jnl`	Resource Allocation and Outage Analysis for An Adaptive Cognitive Two-Way Relay Network. CoRR Qunwei Li, Pramod K. Varshney
2014	J	`jnl`	A Novel Sequential Spectrum Sensing Method in Cognitive Radio Using Suprathreshold Stochastic Resonance. IEEE Trans. Veh. Technol. Qunwei Li, Zan Li
2013	B	`conf`	A novel sequential spectrum sensing method in cognitive radio using suprathreshold stochastic resonance. GLOBECOM Qunwei Li, Zan Li, Jiangbo Si, Rui Gao
2013	—	`conf`	A power-efficient cloud-based compressive sensing video communication system. APSIPA Mengsi Wang, Song Xiao, Lei Quan, Qunwei Li
2012	—	`conf`	A novel spectrum sensing method in cognitive radio based on suprathreshold stochastic resonance. ICC Qunwei Li, Zan Li, Jian Shen, Rui Gao