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, Jia-Sheng Zhang, Ngoc Bui, Jia-Lin 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, Jia-Lin 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, Jia-Yu 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
Jia-Lin Chen, Ao-Song Feng, Harshit Verma, Siyi Gu, Haiwen Wang, Ali Maatouk, Yi-Xuan 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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AesCode: Aesthetic Code Generation with Decoupled Cross-Modal Rewards
Xin Gao, Yi-Fan Yang, Xin Li, Pan Wang, Yan Li, Mu-Zhao Tian, Ming-Xi Cheng, Bei Liu, Kai Qiu, Qi Dai, Dong Chen, Yue Dong, Leandros Tassiulas, Rex Ying, Ji Li, Chong Luo,
arXiv.org,
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
Yi-Dong Jiang, Jun-Rong Chen, Eftychia Makri, Jia-Lin 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, G. Vardoyan, D. 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, Yi-Dong Jiang, Jun-Rong Chen, Jia-Lin 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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