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2020 – today
- 2024
[c18]Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang:
Towards Efficient Replay in Federated Incremental Learning. CVPR 2024: 12820-12829- [i21]Sicong Xie, Qunwei Li, Weidi Xu, Kaiming Shen, Shaohu Chen, Wenliang Zhong:
Denoising Time Cycle Modeling for Recommendation. CoRR abs/2402.02718 (2024) - [i20]Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang:
Towards Efficient Replay in Federated Incremental Learning. CoRR abs/2403.05890 (2024) - 2023
- [j13]Youru Li
, Xiaobo Guo, Wenfang Lin, Mingjie Zhong, Qunwei Li, Zhongyi Liu, Wenliang Zhong, Zhenfeng Zhu:
Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction. IEEE Trans. Knowl. Data Eng. 35(1): 647-657 (2023) - [j12]Ziyi Chen, Zhengyang Hu, Qunwei Li, Zhe Wang, Yi Zhou:
A Cubic Regularization Approach for Finding Local Minimax Points in Nonconvex Minimax Optimization. Trans. Mach. Learn. Res. 2023 (2023) - [c17]Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu:
Edge-cloud Collaborative Learning with Federated and Centralized Features. SIGIR 2023: 1949-1953 - [i19]Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu:
Edge-cloud Collaborative Learning with Federated and Centralized Features. CoRR abs/2304.05871 (2023) - 2022
- [j11]Zhongchang Sun, Shaofeng Zou, Ruizhi Zhang, Qunwei Li:
Quickest Change Detection in Anonymous Heterogeneous Sensor Networks. IEEE Trans. Signal Process. 70: 1041-1055 (2022) - [j10]Qunwei Li, Bhavya Kailkhura, Ryan A. Goldhahn, Priyadip Ray, Pramod K. Varshney:
Robust Decentralized Learning Using ADMM With Unreliable Agents. IEEE Trans. Signal Process. 70: 2743-2757 (2022) - [c16]Ningning Li, Qunwei Li, Xichen Ding, Shaohu Chen, Wenliang Zhong:
Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations. CIKM 2022: 4183-4187 - [c15]Baocheng Geng, Qunwei Li, Pramod K. Varshney:
Human Decision Making with Bounded Rationality. ICASSP 2022: 5493-5497 - [c14]Sicong Xie, Qunwei Li, Weidi Xu, Kaiming Shen, Shaohu Chen, Wenliang Zhong:
Denoising Time Cycle Modeling for Recommendation. SIGIR 2022: 1950-1955 - [i18]Ningning Li, Qunwei Li, Xichen Ding, Shaohu Chen, Wenliang Zhong:
Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations. CoRR abs/2211.12893 (2022) - 2021
- [j9]Baocheng Geng, Qunwei Li, Pramod K. Varshney:
Utility-Theory-Based Optimal Resource Consumption for Inference in IoT Systems. IEEE Internet Things J. 8(15): 12279-12288 (2021) - [j8]Qunwei Li, Bhavya Kailkhura, Rushil Anirudh, Jize Zhang, Yi Zhou, Yingbin Liang, Thomas Yong-Jin Han, Pramod K. Varshney:
MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data. SIAM J. Math. Data Sci. 3(4): 1197-1222 (2021) - [c13]Qunwei Li, Shaofeng Zou, Wenliang Zhong:
Learning Graph Neural Networks with Approximate Gradient Descent. AAAI 2021: 8438-8446 - [c12]Zhongchang Sun, Qunwei Li, Ruizhi Zhang, Shaofeng Zou:
A Computationally Efficient Algorithm for Quickest Change Detection in Anonymous Heterogeneous Sensor Networks. ISIT 2021: 599-604 - [i17]Ziyi Chen, Qunwei Li, Yi Zhou:
Escaping Saddle Points in Nonconvex Minimax Optimization via Cubic-Regularized Gradient Descent-Ascent. CoRR abs/2110.07098 (2021) - 2020
- [j7]Baocheng Geng, Qunwei Li, Pramod K. Varshney:
Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers. IEEE Trans. Signal Process. 68: 4083-4093 (2020) - [c11]Zhongchang Sun, Shaofeng Zou, Qunwei Li:
Quickest Change Detection In Anonymous Heterogeneous Sensor Networks. ICASSP 2020: 5925-5929 - [c10]Bhavya Kailkhura, Jayaraman J. Thiagarajan, Qunwei Li, Jize Zhang, Yi Zhou, Timo Bremer:
A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning. NeurIPS 2020 - [i16]Qunwei Li, Shaofeng Zou, Wenliang Zhong:
Learning Graph Neural Networks with Approximate Gradient Descent. CoRR abs/2012.03429 (2020)
2010 – 2019
- 2019
- [j6]Tiexing Wang, Qunwei Li, Donald J. Bucci, Yingbin Liang, Biao Chen, Pramod K. Varshney:
K-Medoids Clustering of Data Sequences With Composite Distributions. IEEE Trans. Signal Process. 67(8): 2093-2106 (2019) - [c9]Saikiran Bulusu, Qunwei Li, Pramod K. Varshney:
On Convex Stochastic Variance Reduced Gradient for Adversarial Machine Learning. GlobalSIP 2019: 1-5 - [i15]Bhavya Kailkhura, Jayaraman J. Thiagarajan, Qunwei Li, Peer-Timo Bremer:
A Look at the Effect of Sample Design on Generalization through the Lens of Spectral Analysis. CoRR abs/1906.02732 (2019) - [i14]Baocheng Geng, Qunwei Li, Pramod K. Varshney:
Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers. CoRR abs/1909.01463 (2019) - 2018
- [j5]Qunwei Li, Tiexing Wang, Donald J. Bucci, Yingbin Liang, Biao Chen, Pramod K. Varshney:
Nonparametric Composite Hypothesis Testing in an Asymptotic Regime. IEEE J. Sel. Top. Signal Process. 12(5): 1005-1014 (2018) - [c8]Baocheng Geng, Qunwei Li, Pramod K. Varshney:
Decision Tree Design for Classification in Crowdsourcing Systems. ACSSC 2018: 859-863 - [c7]Qunwei Li, Pramod K. Varshney:
Optimal Crowdsourced Classification with a Reject Option in the Presence of Spammers. ICASSP 2018: 4109-4113 - [i13]Baocheng Geng, Qunwei Li, Pramod K. Varshney:
Decision Tree Design for Classification in Crowdsourcing Systems. CoRR abs/1805.00559 (2018) - [i12]Tiexing Wang, Qunwei Li, Donald J. Bucci, Yingbin Liang, Biao Chen, Pramod K. Varshney:
K-medoids Clustering of Data Sequences with Composite Distributions. CoRR abs/1807.11620 (2018) - [i11]Qunwei Li, Bhavya Kailkhura, Rushil Anirudh, Yi Zhou, Yingbin Liang, Pramod K. Varshney:
MR-GAN: Manifold Regularized Generative Adversarial Networks. CoRR abs/1811.10427 (2018) - 2017
- [j4]Qunwei Li, Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney:
Multi-Object Classification via Crowdsourcing With a Reject Option. IEEE Trans. Signal Process. 65(4): 1068-1081 (2017) - [j3]Fuhui Zhou, Zan Li, Julian Cheng, Qunwei Li, Jiangbo Si:
Robust AN-Aided Beamforming and Power Splitting Design for Secure MISO Cognitive Radio With SWIPT. IEEE Trans. Wirel. Commun. 16(4): 2450-2464 (2017) - [j2]Qunwei Li, Pramod K. Varshney:
Resource Allocation and Outage Analysis for an Adaptive Cognitive Two-Way Relay Network. IEEE Trans. Wirel. Commun. 16(7): 4727-4737 (2017) - [c6]Qunwei Li, Pramod K. Varshney:
Does Confidence Reporting from the Crowd Benefit Crowdsourcing Performance? SocialSens@CPSWeek 2017: 49-54 - [c5]Qunwei Li, Yi Zhou, Yingbin Liang, Pramod K. Varshney:
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization. ICML 2017: 2111-2119 - [i10]Qunwei Li, Pramod K. Varshney:
Does Confidence Reporting from the Crowd Benefit Crowdsourcing Performance? CoRR abs/1704.00768 (2017) - [i9]Qunwei Li, Yi Zhou, Yingbin Liang, Pramod K. Varshney:
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization. CoRR abs/1705.04925 (2017) - [i8]Qunwei Li, Bhavya Kailkhura, Ryan A. Goldhahn, Priyadip Ray, Pramod K. Varshney:
Robust Federated Learning Using ADMM in the Presence of Data Falsifying Byzantines. CoRR abs/1710.05241 (2017) - [i7]Qunwei Li, Pramod K. Varshney:
Optimal Crowdsourced Classification with a Reject Option in the Presence of Spammers. CoRR abs/1710.09901 (2017) - [i6]Qunwei Li, Tiexing Wang, Donald J. Bucci, Yingbin Liang, Biao Chen, Pramod K. Varshney:
Nonparametric Composite Hypothesis Testing in an Asymptotic Regime. CoRR abs/1712.03296 (2017) - 2016
- [c4]Qunwei Li, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Zhenliang Zhang, Pramod K. Varshney:
Influential Node Detection in Implicit Social Networks using Multi-task Gaussian Copula Models. NIPS Time Series Workshop 2016: 27-37 - [i5]Qunwei Li, Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney:
Multi-object Classification via Crowdsourcing with a Reject Option. CoRR abs/1602.00575 (2016) - [i4]Fuhui Zhou, Zan Li, Julian Cheng, Qunwei Li, Jiangbo Si:
Robust AN-Aided Beamforming and Power Splitting Design for Secure MISO Cognitive Radio With SWIPT. CoRR abs/1602.06913 (2016) - [i3]Fuhui Zhou, Zan Li, Julian Cheng, Qunwei Li, Jiangbo Si:
Robust Max-Min Fairness Energy Harvesting in Secure MISO Cognitive Radio With SWIPT. CoRR abs/1602.08161 (2016) - [i2]Qunwei Li, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Zhenliang Zhang, Pramod K. Varshney:
Influential Node Detection in Implicit Social Networks using Multi-task Gaussian Copula Models. CoRR abs/1611.10305 (2016) - 2015
- [i1]Qunwei Li, Pramod K. Varshney:
Resource Allocation and Outage Analysis for An Adaptive Cognitive Two-Way Relay Network. CoRR abs/1511.07469 (2015) - 2014
- [j1]Qunwei Li, Zan Li:
A Novel Sequential Spectrum Sensing Method in Cognitive Radio Using Suprathreshold Stochastic Resonance. IEEE Trans. Veh. Technol. 63(4): 1717-1725 (2014) - 2013
- [c3]Mengsi Wang, Song Xiao, Lei Quan, Qunwei Li:
A power-efficient cloud-based compressive sensing video communication system. APSIPA 2013: 1-4 - [c2]Qunwei Li, Zan Li, Jiangbo Si, Rui Gao:
A novel sequential spectrum sensing method in cognitive radio using suprathreshold stochastic resonance. GLOBECOM 2013: 1143-1148 - 2012
- [c1]Qunwei Li, Zan Li, Jian Shen, Rui Gao:
A novel spectrum sensing method in cognitive radio based on suprathreshold stochastic resonance. ICC 2012: 4426-4430
Coauthor Index
aka: Wenliang Zhong
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