SETA: Scalable Encrypted Traffic Analytics in Multi-Gbps Networks. - Kwon Nung Choi; Achintha Wijesinghe; Chamara Manoj Madarasingha Kattadige; Kanchana Thilakarathna; Suranga Seneviratne; Guillaume Jourjon (LCN, 2020)

Towards a Smart Opponent for Board Games: Learning beyond Simulations. - Naveen Karunanayake; Achintha Wijesinghe; Chameera Wijethunga; Chinthani Kumaradasa; Peshala Jayasekara; Ranga Rodrigo (SMC, 2020)

SETA++: Real-Time Scalable Encrypted Traffic Analytics in Multi-Gbps Networks. - Chamara Kattadige; Kwon Nung Choi; Achintha Wijesinghe; Arpit Nama; Kanchana Thilakarathna; Suranga Seneviratne; Guillaume Jourjon (IEEE Trans. Netw. Serv. Manag., 2021)

PS-FedGAN: An Efficient Federated Learning Framework Based on Partially Shared Generative Adversarial Networks For Data Privacy. - Achintha Wijesinghe; Songyang Zhang; Zhi Ding 001 (CoRR, 2023)

UFed-GAN: A Secure Federated Learning Framework with Constrained Computation and Unlabeled Data. - Achintha Wijesinghe; Songyang Zhang; Siyu Qi; Zhi Ding 001 (CoRR, 2023)

PFL-GAN: When Client Heterogeneity Meets Generative Models in Personalized Federated Learning. - Achintha Wijesinghe; Songyang Zhang; Zhi Ding 001 (CoRR, 2023)

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

Diff-GO: Diffusion Goal-Oriented Communications to Achieve Ultra-High Spectrum Efficiency. - Achintha Wijesinghe; Songyang Zhang; Suchinthaka Wanninayaka; Weiwei Wang; Zhi Ding 001 (CoRR, 2023)

RME-GAN: A Learning Framework for Radio Map Estimation Based on Conditional Generative Adversarial Network. - Songyang Zhang; Achintha Wijesinghe; Zhi Ding 001 (IEEE Internet Things J., 2023)

UFed-GAN: Secure Federated Learning over Wireless Sensor Networks with Unlabeled Data. - Achintha Wijesinghe; Songyang Zhang; Siyu Qi; Zhi Ding 001 (ICC Workshops, 2024)

Diff-GO: Diffusion Goal-Oriented Communications with Ultra-High Spectrum Efficiency. - Achintha Wijesinghe; Songyang Zhang; Suchinthaka Wanninayaka; Weiwei Wang; Zhi Ding 001 (ICC Workshops, 2024)

LaMI-GO: Latent Mixture Integration for Goal-Oriented Communications Achieving High Spectrum Efficiency. - Achintha Wijesinghe; Suchinthaka Wanninayaka; Weiwei Wang; Yu-Chieh Chao; Songyang Zhang; Zhi Ding 001 (CoRR, 2024)

PS-FedGAN: An Efficient Federated Learning Framework With Strong Data Privacy. - Achintha Wijesinghe; Songyang Zhang; Zhi Ding 001 (IEEE Internet Things J., 2024)

Task-Driven Semantic Quantization and Imitation Learning for Goal-Oriented Communications. - Yu-Chieh Chao; Yubei Chen; Weiwei Wang; Achintha Wijesinghe; Suchinthaka Wanninayaka; Songyang Zhang; Zhi Ding 001 (CoRR, 2025)

Task-Adaptive Semantic Communications with Controllable Diffusion-based Data Regeneration. - Fupei Guo; Achintha Wijesinghe; Songyang Zhang; Zhi Ding 001 (CoRR, 2025)

TACO: Rethinking Semantic Communications with Task Adaptation and Context Embedding. - Achintha Wijesinghe; Weiwei Wang; Suchinthaka Wanninayaka; Songyang Zhang; Zhi Ding 001 (CoRR, 2025)

TiRE-GAN: Task-Incentivized Generative Learning for Radiomap Estimation. - Yueling Zhou; Achintha Wijesinghe; Yibo Ma; Songyang Zhang; Zhi Ding 001 (IEEE Wirel. Commun. Lett., 2025)

Diff-GO+: An Efficient Diffusion Goal-Oriented Communication System With Local Feedback. - Achintha Wijesinghe; Songyang Zhang; Suchinthaka Wanninayaka; Weiwei Wang; Zhi Ding 001 (IEEE Trans. Wirel. Commun., 2025)