Recent Publications
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A Novel Framework for Fair Resource Allocation in RIS-Enabled Networks
Alexandros I. Papadopoulos, Antonios Lalas, Konstantinos Votis, Leandros Tassiulas, Christos K. Liaskos,
IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks,
2026
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Contribution-Aware Bandwidth Allocation for Multimodal Split Learning
Iason Ofeidis, Leandros Tassiulas,
arXiv.org,
2026
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A Family of Open Time-Series Foundation Models for the Radio Access Network
Ioannis Panitsas, Leandros Tassiulas,
arXiv.org,
2026
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LitBench: A Graph-Centric Large Language Model Benchmarking Tool For Literature Tasks
Andreas A. Varvarigos, Ali Maatouk, Jiasheng Zhang, Ngoc Bui, Jialin Chen, Leandros Tassiulas, Rex Ying,
Knowledge Discovery and Data Mining,
2026
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Multi-Modal Time Series Prediction via Mixture of Modulated Experts
Li-Ge Zhang, Ali Maatouk, Jialin Chen, Karthik Charan Konduri, Leandros Tassiulas, Rex Ying,
arXiv.org,
2026
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CLAD: A Clustered Label-Agnostic Federated Learning Framework for Joint Anomaly Detection and Attack Classification
Iason Ofeidis, Nikos Papadis, Randeep Bhatia, Leandros Tassiulas, T. Lakshman,
arXiv.org,
2026
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Rank Is Not Capacity: Spectral Occupancy for Latent Graph Models
Nikolaos Nakis, Panagiotis Promponas, K. Tsirkas, Katerina Mamali, Eftychia Makri, Leandros Tassiulas, Nicholas A. Christakis,
arXiv.org,
2026
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FedJam: Multimodal Federated Learning Framework for Jamming Detection
Ioannis Panitsas, Iason Ofeidis, Leandros Tassiulas,
IEEE Conference on Computer Communications,
2026
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Age Optimal Sampling for Unreliable Channels Under Unknown Channel Statistics
Hong-Yi He, Haoyue Tang, Jiayu Pan, Jin-Tao Wang, Jian Song, Leandros Tassiulas,
IEEE Transactions on Mobile Computing,
2026
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A Deep and Transfer Learning Approach for Handover Management in O-RAN
Ioannis Panitsas, Akrit Mudvari, Ali Maatouk, Leandros Tassiulas,
IEEE Wireless Communications and Networking Conference,
2026
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Benchmark for Assessing Olfactory Perception of Large Language Models
Eftychia Makri, Nikolaos Nakis, Laura Sisson, Gigi Minsky, Leandros Tassiulas, V. Satarifard, Nicholas A. Christakis,
arXiv.org,
2026
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Reasoning through Verifiable Forecast Actions: Consistency-Grounded RL for Financial LLMs
Jialin Chen, Aosong Feng, Harshit Verma, Siyi Gu, Haiwen Wang, Ali Maatouk, Yixuan He, Yi-Feng Gao, Leandros Tassiulas, Rex Ying,
arXiv.org,
2026
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Editorial: Emerging optimization, learning and signal processing for next-generation wireless communications and networking
Dionysis Kalogerias, Le Liang, Mark Eisen, Athina P. Petropulu, Leandros Tassiulas,
Frontiers in Signal Processing,
2026
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HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation
Hiren Madhu, Ngoc Bui, Ali Maatouk, Leandros Tassiulas, Smita Krishnaswamy, Meng-Lin Yang, Sukanta Ganguly, K. Srinivasan, Rex Ying,
arXiv.org,
2026
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Modeling RIS for Multi-User Resource Allocation Under Pricing-Aware Policies
Alexandros I. Papadopoulos, Antonios Lalas, Konstantinos Votis, Leandros Tassiulas, Christos K. Liaskos,
IEEE Access,
2026
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Fin-RATE: A Real-world Financial Analytics and Tracking Evaluation Benchmark for LLMs on SEC Filings
Yidong Jiang, Junrong Chen, Eftychia Makri, Jialin Chen, Pei-Ye Li, Ali Maatouk, Leandros Tassiulas, Eliot Brenner, Bing Xiang, Rex Ying,
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2,
2026
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Rate-Fidelity Tradeoffs in All-Photonic and Memory-Equipped Quantum Switches
Panagiotis Promponas, Leonardo Bacciottini, P. Polakos, Gayane Vardoyan, Don Towsley, Leandros Tassiulas,
2026 International Conference on Quantum Communications, Networking, and Computing (QCNC),
2026
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NumCache: KV Cache Compression and Retrieval for Financial Document QA
Eftychia Makri, Peiwen Li, Yidong Jiang, Junrong Chen, Jialin Chen, Ali Maatouk, Leandros Tassiulas, Eliot Brenner, Bing Xiang, Rex Ying,
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2,
2026
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Hierarchical Federated Learning for Networked AI: From Communication Saving to Architecture-Aware Design
Seyed Mohammad Azimi-Abarghouyi, Mehdi Bennis, Leandros Tassiulas,
arXiv.org,
2026
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Towards In-Network Drift-Aware Traffic Classification
Kai-Yi Zhang, Nancy Samaan, Ahmed Karmouch, Leandros Tassiulas,
Conference on Network Function Virtualization and Software Defined Network,
2025
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