Publications
Ph.D. Dissertation
Sequential Prediction and Decision Making, Joint Community Detection and Phase Synchronization, and Acceleration Methods for Convex Optimization
Lingda Wang, University of Illinois at Urbana-Champaign, 2024
Master’s Thesis
On Upper Confidence Bound Algorithms for Piecewise-Stationary Stochastic Multi-Armed Bandits and The Variants
Lingda Wang, University of Illinois at Urbana-Champaign, 2019
Preprint(s)
Convolutional GRU Network for Seasonal Prediction of the El Nino-Southern Oscillation [Codes]
Lingda Wang, Savana Ammons, Vera Mikyoung Hur, Ryan L. Sriver, and Zhizhen Zhao
Submitted to Scientific Reports
Journal Papers
Multi-Frequency Joint Community Detection and Phase Synchronization [Codes]
Lingda Wang, and Zhizhen Zhao
IEEE Transactions on Signal and Information Processing over Networks, 2023
Soft Iterative Quantum Receivers Approaching the Helstrom Limit Using Realistic Quantum Devices
Chenjia Wei, Xiaolin Zhou, Lingda Wang, Pengfei Tian, and Lajos Hanzo
IEEE Access, 2017
Conference Papers
Robust Nonparametric Distribution Forecast with Backtest-Based Bootstrap and Adaptive Residual Selection [Slides]
Longshaokan Wang, Lingda Wang, Mina Georgieva, Paulo Machado, Abinaya Ulagappa, Safwan Ahmed, Yan Lu, Arjun Bakshi, and Farhad Ghassemi
In Proceedings of 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits [Slides]
Lingda Wang*, Huozhi Zhou*, Bingcong Li, Lav R. Varshney, and Zhizhen Zhao (* indicates equal contribution)
In Proceedings of 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations [Slides]
Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, and Zhizhen Zhao
In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem [Slides]
Bingcong Li, Lingda Wang, Georgios B. Giannakis, and Zhizhen Zhao
In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021
Almost Tune-Free Variance Reduction [Slides]
Bingcong Li, Lingda Wang, and Georgios B. Giannakis
In Proceedings of the 37th International Conference on Machine Learning (ICML), 2020
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits [Slides]
Huozhi Zhou*, Lingda Wang*, Lav R. Varshney, and Ee-Peng Lim (* indicates equal contribution)
In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020
Two-Dimensional Tomography From Noisy Projection Tilt Series Taken At Unknown View Angles With Non-Uniform Distribution [Slides]
Lingda Wang and Zhizhen Zhao
In Proceedings of the 2019 IEEE International Conference on Image Processing (ICIP), 2019
A NOMA-Based Quantum Key Distribution System over Poisson Atmospheric Channels
Xiaojun Yu, Xiaolin Zhou, Chongbin Xu, Lingda Wang, Dailing Shen, and Haitao Zhou
In Proceedings of the 2019 IEEE Global Communications Conference (GLOBECOM), 2019
A Shot Noise Limited Quantum Iterative Massive MIMO System Over Poisson Atmospheric Channels
Xiaolin Zhou, Chenjia Wei, Dailing Shen, Chongbin Xu, Lingda Wang, and Xiaojun Yu
In Proceedings of the 2019 IEEE International Conference on Communications (ICC), 2019
Photon Counting Based Iterative Quantum Non-Orthogonal Multiple Access with Spatial Coupling
Dailing Shen, Chenjia Wei, Xiaolin Zhou, Lingda Wang, and Chongbin Xu
In Proceedings of the 2018 IEEE Global Communications Conference (GLOBECOM), 2018
Design and Analysis of an Iterative Quantum Receiver with Photon-Number-Resolving Detector
Chenjia Wei, Lingda Wang, Xiaolin Zhou, Pengfei Tian, and Julian Cheng
In Proceedings of the 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), 2017
Quantum Multiuser Communication Systems with Adaptive Feedback Measurement and Chip-Interleaved Iter-PIC Receiver
Lingda Wang, Xiaolin Zhou, and Pengfei Tian
In Proceedings of the 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), 2017