Recent Publications
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Cost-Effective Soil Carbon Sensing with Wi-Fi and Optical Signals
Jian Ding, Ranveer Chandra, Rattan Lal, L. Tassiulas,
ACM/IEEE International Conference on Mobile Computing and Networking,
2024
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Scarf: Soil Carbon Sensing with Wi-Fi and Optical Signals
Jian Ding, Ranveer Chandra, Rattan Lal, L. Tassiulas,
ACM/IEEE International Conference on Mobile Computing and Networking,
2024
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From Similarity to Superiority: Channel Clustering for Time Series Forecasting
Jialin Chen, J. E. Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, L. Tassiulas, J. Leskovec, Rex Ying,
arXiv.org,
2024
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LitFM: A Retrieval Augmented Structure-aware Foundation Model For Citation Graphs
Jiasheng Zhang, Jialin Chen, Ali Maatouk, Ngoc Bui, Qianqian Xie, L. Tassiulas, Jie Shao, Hua Xu, Rex Ying,
arXiv.org,
2024
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Maximizing Entanglement Rates via Efficient Memory Management in Flexible Quantum Switches
Panagiotis Promponas, Víctor Valls, Saikat Guha, L. Tassiulas,
IEEE Journal on Selected Areas in Communications,
2024
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SplitLLM: Collaborative Inference of LLMs for Model Placement and Throughput Optimization
Akrit Mudvari, Yuang Jiang, L. Tassiulas,
arXiv.org,
2024
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Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications
Ali Maatouk, Kenny Chirino Ampudia, Rex Ying, L. Tassiulas,
arXiv.org,
2024
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Machine Learning in DeFi: Credit Risk Assessment and Liquidation Prediction
Georgios Palaiokrassas, S. Scherrers, Eftychia Makri, L. Tassiulas,
International Conference on Blockchain,
2024
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An Item is Worth a Prompt: Versatile Image Editing with Disentangled Control
Aosong Feng, Weikang Qiu, Jinbin Bai, Kaicheng Zhou, Zhen Dong, Xiao Zhang, Rex Ying, L. Tassiulas,
arXiv.org,
2024
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Throughput-Optimal Scheduling via Rate Learning
Panagiotis Promponas, Víctor Valls, Konstantinos E. Nikolakakis, Dionysis Kalogerias, L. Tassiulas,
arXiv.org,
2024
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SANDWICH: Towards an Offline, Differentiable, Fully-Trainable Wireless Neural Ray-Tracing Surrogate
Yifei Jin, Ali Maatouk, Sarunas Girdzijauskas, Shugong Xu, L. Tassiulas, Rex Ying,
arXiv.org,
2024
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Cyber-Twin: Digital Twin-Boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks
Yagmur Yigit, Ioannis Panitsas, Leandros A. Maglaras, L. Tassiulas, B. Canberk,
ICC 2024 - IEEE International Conference on Communications,
2024
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Adaptive Heterogeneous Client Sampling for Federated Learning Over Wireless Networks
Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, L. Tassiulas,
IEEE Transactions on Mobile Computing,
2024
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Over-the-Air Federated Learning via Weighted Aggregation
Seyed Mohammad Azimi-Abarghouyi, L. Tassiulas,
IEEE Transactions on Wireless Communications,
2024
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Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning
Aosong Feng, Rex Ying, L. Tassiulas,
Conference on Empirical Methods in Natural Language Processing,
2024
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Machine Learning on Blockchain Data: A Systematic Mapping Study
Georgios Palaiokrassas, Sarah Bouraga, L. Tassiulas,
arXiv.org,
2024
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Constrained Reinforcement Learning for Adaptive Controller Synchronization in Distributed SDN
Ioannis Panitsas, Akrit Mudvari, L. Tassiulas,
arXiv.org,
2024
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Compiler for Distributed Quantum Computing: a Reinforcement Learning Approach
Panagiotis Promponas, Akrit Mudvari, Luca Della Chiesa, P. Polakos, Louis Samuel, L. Tassiulas,
arXiv.org,
2024
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SAR Data Generation Using Denoising Diffusion Probabilistic Models
Trey Crump, S. Kompella, Clement Kam, L. Tassiulas,
IEEE Military Communications Conference,
2024
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Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition
Aosong Feng, Jialin Chen, Juan Garza, Brooklyn Berry, Francisco Salazar, Yifeng Gao, Rex Ying, L. Tassiulas,
arXiv.org,
2024
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