Lunan Sun

According to our database, Lunan Sun authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

Disentangled Information Bottleneck Guided Privacy-Protective Joint Source and Channel Coding for Image Transmission.

Lunan Sun, Yang Yang, Mingzhe Chen, Caili Guo

IEEE Trans. Commun., November, 2024

Privacy-Aware Joint Source-Channel Coding For Image Transmission Based On Disentangled Information Bottleneck.

Lunan Sun, Caili Guo, Mingzhe Chen, Yang Yang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Adaptive Information Bottleneck Guided Joint Source and Channel Coding for Image Transmission.

Lunan Sun, Yang Yang, Mingzhe Chen, Caili Guo, Walid Saad, H. Vincent Poor

IEEE J. Sel. Areas Commun., August, 2023

Disentangled Information Bottleneck guided Privacy-Protective JSCC for Image Transmission.

Lunan Sun, Yang Yang, Mingzhe Chen, Caili Guo

CoRR, 2023

2022

Adaptive Information Bottleneck Guided Joint Source-Channel Coding.

Lunan Sun, Caili Guo, Yang Yang

CoRR, 2022

Joint Source-Channel Coding for Efficient Image Transmission: An Information Bottleneck Based Scheme.

Lunan Sun, Caili Guo, Yang Yang

Proceedings of the IEEE Globecom 2022 Workshops, 2022

2021

Semantic Communications With AI Tasks.

Yang Yang, Caili Guo, Fangfang Liu, Chuanhong Liu, Lunan Sun, Qizheng Sun, Jiujiu Chen

CoRR, 2021

2019

Enabling real-time multi-messenger astrophysics discoveries with deep learning.

Eliu A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark S. Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

CoRR, 2019

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.

Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Anushri Gupta, Roland Haas, Eliu A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, Mark S. Neubauer, Steve Oberlin, Alexander Reinefeld, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta Miksztai-Réthey, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

CoRR, 2019