Lingda Wang

According to our database, Lingda Wang authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Triple Network Knowledge Learning Framework for Particle Swarm Optimization.

Zhao Zhang, Lingda Wang, Chen Chen

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Multi-Frequency Joint Community Detection and Phase Synchronization.

Lingda Wang, Zhizhen Zhao

IEEE Trans. Signal Inf. Process. over Networks, 2023

Convolutional GRU Network for Seasonal Prediction of the El Niño-Southern Oscillation.

Lingda Wang, Savana Ammons, Vera Mikyoung Hur, Ryan L. Sriver, Zhizhen Zhao

CoRR, 2023

2022

Robust Nonparametric Distribution Forecast with Backtest-Based Bootstrap and Adaptive Residual Selection.

Longshaokan Wang, Lingda Wang, Mina Georgieva, Paulo Machado, Abinaya Ulagappa, Safwan Ahmed, Yan Lu, Arjun Bakshi, Farhad Ghassemi

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits.

Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao

Proceedings of the IEEE International Conference on Acoustics, 2021

Adversarial Linear Contextual Bandits with Graph-Structured Side Observations.

Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem.

Bingcong Li, Lingda Wang, Georgios B. Giannakis, Zhizhen Zhao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Almost Tune-Free Variance Reduction.

Bingcong Li, Lingda Wang, Georgios B. Giannakis

Proceedings of the 37th International Conference on Machine Learning, 2020

A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits.

Huozhi Zhou, Lingda Wang, Lav R. Varshney, Ee-Peng Lim

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits.

Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao

CoRR, 2019

Two-Dimensional Tomography from Noisy Projection Tilt Series Taken at Unknown View Angles with Non-Uniform Distributi.

Lingda Wang, Zhizhen Zhao

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

A Shot Noise Limited Quantum Iterative Massive MIMO System Over Poisson Atmospheric Channels.

Xiaolin Zhou, Chenjia Wei, Dailing Shen, Chongbin Xu, Lingda Wang, Xiaojun Yu

Proceedings of the 2019 IEEE International Conference on Communications, 2019

A NOMA-Based Quantum Key Distribution System over Poisson Atmospheric Channels.

Xiaojun Yu, Xiaolin Zhou, Chongbin Xu, Lingda Wang, Dailing Shen, Haitao Zhou

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

Soft Iterative Quantum Receivers Approaching the Helstrom Limit Using Realistic Quantum Devices.

Chenjia Wei, Xiaolin Zhou, Lingda Wang, Pengfei Tian, Lajos Hanzo

IEEE Access, 2018

Photon Counting Based Iterative Quantum Non-Orthogonal Multiple Access with Spatial Coupling.

Dailing Shen, Chenjia Wei, Xiaolin Zhou, Lingda Wang, Chongbin Xu

Proceedings of the IEEE Global Communications Conference, 2018

2017

Design and Analysis of an Iterative Quantum Receiver with Photon-Number-Resolving Detector.

Chenjia Wei, Lingda Wang, Xiaolin Zhou, Pengfei Tian, Julian Cheng

Proceedings of the 86th IEEE Vehicular Technology Conference, 2017

Quantum Multiuser Communication Systems with Adaptive Feedback Measurement and Chip-Interleaved Iter-PIC Receiver.

Lingda Wang, Xiaolin Zhou, Pengfei Tian

Proceedings of the 86th IEEE Vehicular Technology Conference, 2017