Qinglei Kong

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All published works

Action	Title	Year	Authors
+ PDF Chat	MetaLoc: Learning to Learn Wireless Localization	2023	Jun Gao Dongze Wu Feng Yin Qinglei Kong Lexi Xu Shuguang Cui
+ PDF Chat	Recent advances in data-driven wireless communication using Gaussian processes: A comprehensive survey	2022	Kai Chen Qinglei Kong Yijue Dai Yue Xu Feng Yin Lexi Xu Shuguang Cui
+	MetaLoc: Learning to Learn Wireless Localization	2022	Jun Gao Dongze Wu Feng Yin Qinglei Kong Lexi Xu Shuguang Cui
+	Data-Driven Wireless Communication Using Gaussian Processes.	2021	Kai Chen Qinglei Kong Yijue Dai Yue Xu Feng Yin Lexi Xu Shuguang Cui
+ PDF Chat	Recent Advances in Data-Driven Wireless Communication Using Gaussian Processes: A Comprehensive Survey	2021	Kai Chen Qinglei Kong Yijue Dai Yue Xu Feng Yin Lexi Xu Shuguang Cui
+	Recent Advances in Data-Driven Wireless Communication Using Gaussian Processes: A Comprehensive Survey	2021	Kai Chen Qinglei Kong Yijue Dai Yue Xu Feng Yin Lexi Xu Shuguang Cui
+	FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing	2020	Feng Yin Zhidi Lin Yue Xu Qinglei Kong Deshi Li Sergios Theodoridis Shuguang
+ PDF Chat	FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing	2020	Feng Yin Zhidi Lin Qinglei Kong Yue Xu Deshi Li Sergios Theodoridis Shuguang Cui

Common Coauthors

Coauthor	Papers Together
Feng Yin	8
Shuguang Cui	7
Lexi Xu	6
Yue Xu	4
Yijue Dai	4
Kai Chen	4
Zhidi Lin	2
Sergios Theodoridis	2
Jun Gao	2
Yue Xu	2
Deshi Li	2
Dongze Wu	2
Shuguang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Wireless Traffic Prediction With Scalable Gaussian Process: Framework, Algorithms, and Verification	2019	Yue Xu Feng Yin Wenjun Xu Jiaru Lin Shuguang Cui	3
+ PDF Chat	Bayesian Cooperative Localization Using Received Signal Strength With Unknown Path Loss Exponent: Message Passing Approaches	2020	Di Jin Feng Yin Carsten Fritsche Fredrik Gustafsson Abdelhak M. Zoubir	3
+	On the Convergence of Federated Optimization in Heterogeneous Networks.	2018	Anit Kumar Sahu Tian Li Maziar Sanjabi Manzil Zaheer Ameet Talwalkar Virginia Smith	2
+	Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data	2019	Felix Sattler Simon Wiedemann Klaus‐Robert Müller Wojciech Samek	2
+ PDF Chat	Semidefinite programming based algorithms for sensor network localization	2006	Pratik K. Biswas Tzu-Chen Lian Ta-Chung Wang Yinyu Ye	2
+	Closed-form Inference and Prediction in Gaussian Process State-Space Models	2018	Alessandro Davide Ialongo Mark van der Wilk Carl Edward Rasmussen	2
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	2
+	signSGD: Compressed Optimisation for Non-Convex Problems	2018	Jeremy Bernstein Yu-Xiang Wang Kamyar Azizzadenesheli Animashree Anandkumar	2
+ PDF Chat	A Hybrid Approach to Privacy-Preserving Federated Learning	2019	Stacey Truex Nathalie Baracaldo Ali Anwar Thomas Steinke Heiko Ludwig Rui Zhang Yi Zhou	2
+	On Exact Computation with an Infinitely Wide Neural Net	2019	Sanjeev Arora Simon S. Du Wei Hu Zhiyuan Li Ruslan Salakhutdinov Ruosong Wang	2
+ PDF Chat	Scalable Learning Paradigms for Data-Driven Wireless Communication	2020	Yue Xu Feng Yin Wenjun Xu Chia‐Han Lee Jiaru Lin Shuguang Cui	2
+ PDF Chat	Contextualized Spatial–Temporal Network for Taxi Origin-Destination Demand Prediction	2019	Lingbo Liu Zhilin Qiu Guanbin Li Qing Wang Wanli Ouyang Liang Lin	2
+	One-Shot Federated Learning	2019	Neel Guha Ameet Talwalkar Virginia Smith	2
+	Towards Federated Learning at Scale: System Design	2019	Keith Bonawitz Hubert Eichner Wolfgang Grieskamp Dzmitry Huba Alex Ingerman Vladimir Ivanov Chloé Kiddon Jakub Konečný Stefano Mazzocchi H. Brendan McMahan	2
+ PDF Chat	Federated Learning for Ultra-Reliable Low-Latency V2V Communications	2018	Sumudu Samarakoon Mehdi Bennis Walid Saad Mérouane Debbah	2
+	Dynamic Routing Between Capsules	2017	Sara Sabour Nicholas Frosst Geoffrey E. Hinton	2
+ PDF Chat	Fast Direct Methods for Gaussian Processes	2015	Sivaram Ambikasaran Daniel Foreman-Mackey Leslie Greengard David W. Hogg Michael O’Neil	2
+	The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.	2019	Jonathan Frankle Michael Carbin	2
+	Learning Human Identity From Motion Patterns	2016	Natalia Neverova Christian Wolf Griffin Lacey Lex Fridman Deepak Chandra Brandon Barbello Graham W. Taylor	2
+ PDF Chat	Predicting Spatio-Temporal Propagation of Seasonal Influenza Using Variational Gaussian Process Regression	2016	Ransalu Senanayake Simon O’Callaghan Fábio Ramos	2
+	Practical Secure Aggregation for Federated Learning on User-Held Data	2016	Kallista Bonawitz Vladimir Ivanov Ben Kreuter Antonio Marcedone H. Brendan McMahan Sarvar Patel Daniel Ramage Aaron Segal Karn Seth	2
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	2
+ PDF Chat	Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series	2020	Feng Yin Lishuo Pan Tianshi Chen Sergios Theodoridis Zhi‐Quan Luo Abdelhak M. Zoubir	2
+	Deep Learning for Spatio-Temporal Data Mining: A Survey	2020	Senzhang Wang Jiannong Cao Philip S. Yu	2
+	Deep Neural Networks as Gaussian Processes	2018	Jaehoon Lee Yasaman Bahri Roman Novak Samuel S. Schoenholz Jeffrey Pennington Jascha Sohl‐Dickstein	2
+ PDF Chat	Federated Learning: Challenges, Methods, and Future Directions	2020	Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith	2
+ PDF Chat	When Gaussian Process Meets Big Data: A Review of Scalable GPs	2020	Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai	2
+ PDF Chat	Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-Grained Air Quality	2018	Zhongang Qi Tianchun Wang Guojie Song Weisong Hu Xi Li Zhongfei Zhang	2
+ PDF Chat	A practical guide to robust optimization	2015	Bram L. Gorissen İhsan Yanıkoğlu Dick den Hertog	2
+	Differentially Private Federated Learning: A Client Level Perspective	2017	R. Geyer Tassilo J. Klein Moin Nabi	2
+	Decentralized Sensor Fusion With Distributed Particle Filters	2012	Matt Rosencrantz Geoffrey J. Gordon Sebastian Thrun	2
+ PDF Chat	Blockchained On-Device Federated Learning	2019	Hyesung Kim Jihong Park Mehdi Bennis Seong-Lyun Kim	2
+ PDF Chat	Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems	2016	Mingyi Hong Zhi-Quan Luo Meisam Razaviyayn	2
+ PDF Chat	Optimal 1D Trajectory Design for UAV-Enabled Multiuser Wireless Power Transfer	2019	Yulin Hu Xiaopeng Yuan Jie Xu Anke Schmeink	2
+	Inference Attacks Against Collaborative Learning.	2018	Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov	2
+ PDF Chat	Particle Markov Chain Monte Carlo Methods	2010	Christophe Andrieu Arnaud Doucet Roman Holenstein	2
+	Neural Tangent Kernel: Convergence and Generalization in Neural Networks	2018	Arthur Paul Jacot Franck Gabriel Clément Hongler	2
+	How To Backdoor Federated Learning	2018	Eugene Bagdasaryan Andreas Veit Yiqing Hua Deborah Estrin Vitaly Shmatikov	2
+	Federated Learning: Strategies for Improving Communication Efficiency	2016	Jakub Konečný H. Brendan McMahan Felix X. Yu Peter Richtárik Ananda Theertha Suresh Dave Bacon	2
+ PDF Chat	Fundamental Limits of Wideband Localization— Part II: Cooperative Networks	2010	Yuan Shen Henk Wymeersch Moe Z. Win	2
+	Non-Factorised Variational Inference in Dynamical Systems.	2018	Alessandro Davide Ialongo Mark van der Wilk James Hensman Carl Edward Rasmussen	2
+ PDF Chat	A General 3-D Non-Stationary 5G Wireless Channel Model	2017	Shangbin Wu Cheng‐Xiang Wang El‐Hadi M. Aggoune Mohammed M. Alwakeel Xiaohu You	1
+ PDF Chat	Collaborative Deep Learning for Recommender Systems	2015	Hao Wang Naiyan Wang Dit‐Yan Yeung	1
+	Deep Neural Networks as Gaussian Processes	2017	Jaehoon Lee Yasaman Bahri Roman Novak Samuel S. Schoenholz Jeffrey Pennington Jascha Sohl‐Dickstein	1
+	Variational Gaussian Process State-Space Models	2014	Roger Frigola Yutian Chen Carl Edward Rasmussen	1
+	Deep Gaussian Processes	2012	Andreas Damianou Neil D. Lawrence	1
+ PDF Chat	Generative Adversarial Networks: An Overview	2018	Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran Biswa Sengupta Anil A. Bharath	1
+	Convolutional Gaussian Processes	2017	Mark van der Wilk Carl Edward Rasmussen James Hensman	1
+ PDF Chat	Target Localization Accuracy Gain in MIMO Radar-Based Systems	2010	Hana Godrich Alexander M. Haimovich Rick S. Blum	1
+ PDF Chat	Nested Kriging predictions for datasets with a large number of observations	2017	Didier Rullière Nicolas Durrande François Bachoc Clément Chevalier	1