Detection of a Signal in Colored Noise: A Random Matrix Theory Based Analysis. - Lahiru D. Chamain; Prathapasinghe Dharmawansa; Saman Atapattu; Chintha Tellambura (GLOBECOM, 2019)

Quannet: Joint Image Compression and Classification Over Channels with Limited Bandwidth. - Lahiru D. Chamain; Sen-ching Samson Cheung; Zhi Ding 001 (ICME, 2019)

Faster and Accurate Classification for JPEG2000 Compressed Images in Networked Applications. - Lahiru D. Chamain; Zhi Ding 001 (CoRR, 2019)

Improving Deep Learning Classification of JPEG2000 Images Over Bandlimited Networks. - Lahiru D. Chamain; Zhi Ding 001 (ICASSP, 2020)

Eigenvalue-Based Detection of a Signal in Colored Noise: Finite and Asymptotic Analyses. - Lahiru D. Chamain; Prathapasinghe Dharmawansa; Saman Atapattu; Chintha Tellambura (IEEE Trans. Inf. Theory, 2020)

End-to-End optimized image compression for machines, a study. - Lahiru D. Chamain; Fabien Racapé; Jean Bégaint; Akshay Pushparaja; Simon Feltman (DCC, 2021)

An End-to-End Learning Architecture for Efficient Image Encoding and Deep Learning. - Lahiru D. Chamain; Siyu Qi; Zhi Ding 001 (EUSIPCO, 2021)

End-to-end optimized image compression for multiple machine tasks. - Lahiru D. Chamain; Fabien Racapé; Jean Bégaint; Akshay Pushparaja; Simon Feltman (CoRR, 2021)

Hierarchical Training for Distributed Deep Learning Based on Multimedia Data over Band-Limited Networks. - Siyu Qi; Lahiru D. Chamain; Zhi Ding 001 (ICIP, 2022)

Interplay between vertical sectorization and user distribution for urban NB-IoT networks. - Lahiru D. Chamain; Mehmet Cagri Ilter; Jyri Hämäläinen; Zhi Ding 001 (WCNC, 2022)

End-to-End Image Classification and Compression With Variational Autoencoders. - Lahiru D. Chamain; Siyu Qi; Zhi Ding 001 (IEEE Internet Things J., 2022)

End-to-End Joint Image Compression and Deep Learning under Bandwidth Constrained Environments - Lahiru D. Chamain (2022)

A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification. - Siyu Qi; Achintha Wijesinghe; Lahiru D. Chamain; Zhi Ding 001 (CoRR, 2023)