Publications

Conferences

[C19] L. Zhu, Y. Bian, and L. You, "FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation", Conference on Neural Information Processing Systems (NeurIPS) 2025 WiML Workshop. [arXiv] [code]

[C18] L. Cao, L. You, and CSPaper Core Team, "CSPaper Review: Fast, Rubric-Faithful Conference Feedback", International Natural Language Generation Conference (INLG) 2025, accepted. [paper] [demo] [discussion]

[C17] Y. Zhao, Z. Yu, C. Feng, L. You, L. Lei, and D. Yuan, "Orchestrating in the Sky: Joint Routing and Client Selection for Federated Learning in LEO Networks", GLOBECOM 2025, accepted. [link]

[C16] L. You, L. Cao, M. Nilsson, B. Zhao, and L. Lei, "Distributional Counterfactual Explanation With Optimal Transport", International Conference on Artificial Intelligence and Statistics (AISTATS) 2025. (Oral, top 2%). [arXiv] [code]

[C15] Z. Senane, L. Cao, V. L. Buchner, Y. Tashiro, L. You, P. Herman, M. Nordahl, R. Tu, and V. Ehrenheim, "Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask", Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) 2024. [arXiv] [code]

[C14] L. You and H. V. Cheng, "Sparse Entropic Wasserstein Regression for Robust Network Pruning", International Conference on Learning Representations (ICLR) 2024. [arXiv] [code]

[C13] Z. Yu, Y. Zhao, L. You, and D. Yuan, "Learn to Stay Cool: Online Load Management for Passively Cooled Base Stations", IEEE WCNC 2024. [link]

[C12] Y. Zhou, X. Zhao, X. Liu, L. You, and L. Lei, "Efficient Federated Learning in Wireless Communication Systems: A Multi-Objective Optimization Perspective", IEEE ICCC 2023. [link]

[C11] L. You. “Weighted Sum-Rate Maximization With Causal Inference for Latent Interference Estimation”, Proceedings of IEEE International Conference on Communications (ICC) 2023. [link] [code]

[C10] Z. Yu, L. You, and D. Yuan, “Leveraging Multi-Cell NOMA for Cell Edge”, IEEE ANTS 2020.

[C09] L. Lei, L. You, Y. Yang, D. Yuan, S. Chatzinotas, and B. Ottersten, “Power and load optimization in interference-coupled non-orthogonal multiple access networks”, IEEE GLOBECOM 2018.

[C08] L. Lei, T. X. Vu, L. You, S. Fowler, and D. Yuan. “Efficient minimum-energy scheduling with machine-learning based predictions for multiuser MISO systems”. IEEE International Conference on Communications (ICC) 2018. [link]

[C07] L. You, and D. Yuan, “Joint CoMP-cell selection and resource allocation in fronthaul-constrained C-RAN”. IEEE WiOpt Workshop 2017. [arXiv]

[C06] L. You, L. Lei, D. Yuan, S. Sun, S. Chatzinotas, and B. Ottersten, “A framework for optimizing multi-cell NOMA: Delivering demand with less resource”. IEEE GLOBECOM 2017. [arXiv]

[C05] L. Lei, L. You, G. Dai, T. X. Vu, D. Yuan, and S. Chatzinotas, “A deep learning approach for optimizing content delivering in cache-enabled HetNet”. IEEE International Symposium on Wireless Communication Systems (ISWCS) 2017. [link]

[C04] L. You, L. Lei, and D. Yuan, “Optimizing power and user association for energy saving in load-coupled cooperative LTE”. IEEE ICC 2016. [arXiv]

[C03] L. You, L. Lei, and D. Yuan, “Load balancing via joint transmission in heterogeneous LTE: Modeling and computation”. IEEE PIMRC 2015. [arXiv]

[C02] L. You, L. Lei, and D. Yuan. “Range assignment for power optimization in load-coupled heterogeneous networks”. IEEE ICCS 2014. [arXiv]

[C01] L. You, L. Lei, and D. Yuan, “A performance study of energy minimization for interleaved and localized FDMA”. IEEE CAMAD 2014. [arXiv]

JOURNALS

[J25] Z. Lv, Q. Hao, J. Li, and L. You, "PSTGCN: A Taxi Flow Prediction Model Period-based Spatial-Temporal Graph Convolution Network", Tsinghua Science and Technology, accepted. [link]

[J24] Y. Zhou, L. Lei, X. Zhao, L. You, Y. Sun, and S. Chatzinotas, "Decomposition and Meta-DRL based Multi-Objective Optimization for Asynchronous Federated Learning in 6G-Satellite Systems", IEEE Journal on Selected Areas in Communications, vol. 42, no. 5, 2024. [link]

[J23] Z. Yu, Y. Zhao, T. Deng, L. You, and D. Yuan, "Less Carbon Footprint in Edge Computing by Joint Task Offloading and Energy Sharing", IEEE Networking Letters, vol.5, no.4, 2023. [arXiv]

[J22] T. Deng, L. You, Z. Yu, and D. Yuan, "Optimal Task Allocation for Battery-Assisted and Price-Aware Mobile Edge Computing", IEEE Networking Letters, vol.5, no.4., 2023. [link] [code]

[J21] Y. Zhao, D. Yuan, and L. You. “Delivering more to cell edge via joint multi-cell non-orthogonal multiple access and traffic offloading”. IET Networks, vol.10, no.6, 2021. [link]

[J20] L. You and D. Yuan. “A note on decoding order in user grouping and power optimization for multi-cell NOMA with load coupling”. IEEE Transactions on Wireless Communications, vol.20, no.1, 2021. [arXiv] [code]

[J19] L. You and D. Yuan. “User-centric performance optimization with remote radio head cooperation in C-RAN”, IEEE Transactions on Wireless Communications, vol.19, no.1, 2020. [arXiv]

[J18] L. Lei, L. You, Y. Yang, D. Yuan, S. Chatzinotas, and B. Ottersten, “Load coupling and energy optimization in multi-cell and multi-carrier NOMA networks”, IEEE Transactions on Vehicular Technology, vol.68, no.11, 2019. [link]

[J17] L. Lei, L. You, Q. He, T. X. Vu, S. Chatzinotas, D. Yuan, and B. Ottersten, “Learning-assisted optimization for energy-efficient scheduling in deadline-aware NOMA systems”. IEEE Transactions on Green Communications and Networking, vol.3, no.3, 2019. [link]

[J16] B. Chen, L. You, D. Yuan, N. Pappas, and J. Zhang, “Resource optimization for joint LWA and LTE-U in load-coupled and multi-cell networks”. IEEE Communications Letters, vol.23, no.2, 2018. [link]

[J15] L. You, D. Yuan, L. Lei, S. Sun, S. Chatzinotas, and B. Ottersten. “Resource optimization with load coupling in multi-cell NOMA”. IEEE Transactions on Wireless Communications, vol.17, no.7, 2018. [arXiv] [code]

[J14] L. You, Q. Liao, N. Pappas, and D. Yuan. “Resource Optimization with Flexible Numerology and Frame Structure for Heterogeneous Services”. IEEE Communications Letters, vol.22, no.12, 2018. [arXiv] [code]

[J13] T. Deng, L. You, P. Fan, and D. Yuan. “Device caching for network offloading: Delay minimization with presence of user mobility”. IEEE Wireless Communications Letters vol.7, no.4, 2018. [arXiv]

[J12] L. You and D. Yuan. “Load optimization with user association in cooperative and load-coupled LTE networks”. IEEE Transactions on Wireless Communications, vol.16, no.5, 2017. [arXiv]

[J11] L. You, D. Yuan, N. Pappas, and P. Värbrand. “Energy-aware wireless relay selection in load-coupled OFDMA cellular networks”. IEEE Communications Letters, vol.21, no.1, 2016. [arXiv]

[J10] L. You, J. Li, C. Wei, and C. Dai, “A one-hop information based geographic routing protocol for delay tolerant MANETs”, International Journal of Ad Hoc and Ubiquitous Computing, vol.20, no.2, 2015. [arXiv]

[J09] L. You, J. Li, C. Wei, and L. Hu, “MPAR: A movement pattern-aware optimal routing for social delay tolerant networks”, Ad Hoc Networks, vol.24, 2015. [arXiv]

[J08] J. Xu, J. Li, L. You, and C. Dai, “一种基于移动方向的容延迟网络受控传染路由算法”，《小型微型计算机系统》，vol. 36, no. 1, 2015.

[J07] L. You, J. Li, C. Wei, J. Xu, and C. Dai, “A data item selection mechanism for mobile opportunistic networks”, International Journal of Distributed Sensor Networks, vol.10, no.5, 2014.

[J06] J. Xu, J. Li, L. You, and C. Dai, “Dynamic groups based adaptive DTN routing algorithms in social networks”, International Journal of Distributed Sensor Networks, vol.10, no.4, 2014.

[J05] L. You, J. Li, C. Wei, C. Dai, and J. Xu, “A general and specific utility-based adaptive routing for delay tolerant networks”, International Journal of Distributed Sensor Networks, vol.10, no.1, 2014.

[J04] J. Xu, J. Li, S. Jiang, C. Dai, and L. You, “A Statistical Analysis Based Probabilistic Routing for Resource-Constrained Delay Tolerant Networks”，International Journal of Distributed Sensor Networks, vol. 10, no. 10, 2014.

[J03] L. You, J. Li, C. Wei, C. Dai, J. Xu, and L. Hu, “A hop count based heuristic routing protocol for mobile delay tolerant networks”. The Scientific World Journal, 2014.

[J02] C. Dai, J. Li, L. You, and J. Xu, “基于节点相似性的容延/容断网络路由算法”，《计算机应用》, vol. 34, no. 9, 2014.

[J01] J. Li, L. You, S. Jiang, C. Dai, and J. Xu, “基于邻居节点位置的受控传染 DTN 路由算法”，《计算机工程》，vol. 40, no. 8, 2014.

Under-REVIEW

C. Yu, V. Uotila, S. Deng, Q. Wu, T. Shi, S. Jiang, L. You, and B. Zhao, "QUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RL", submitted to International Conference on Learning Representations (ICLR) 2026. [arXiv]
L. Zhu, Y. Bian, and L. You, "FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation", submitted to International Conference on Artificial Intelligence and Statistics (AISTATS) 2026. [arXiv] [code]
C. Yu, V. Uotila, S. Deng, Q. Wu, T. Shi, S. Jiang, L. You, and B. Zhao"QUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RL", submitted to International Conference on Learning Representations (ICLR) 2026.
A. Alhusenat, L. Lei, Q. Wang, L. You, X. Zhang, and S. Chatzinotas, "An Entropy-Driven Optimization Framework for Communication-Sensing-Computation Integration in Energy-Constrained LEO Networks", submitted to IEEE Transactions on Green Communications and Networking.
Y. Zhao, L. You, L. Lei, and D. Yuan, "Distilling Intelligence in Space: Optimized Dual Federated Learning amid Orbital Dynamics", submitted to IEEE International Conference on Computer Communications (INFOCOM) 2025.
L. You, Y. Bian, and L. Cao, "Refining Counterfactual Explanations With Joint-Distribution-Informed Shapley Towards Actionable Minimality", preprint, 🤣ICLR 2025: 8(accept) 8(accept) 6(weak accept) 6(weak accept) -> rejected 🤣, submitted to Internatioanl Conference on Learning Representations (ICLR) 2026. [arXiv] [code] [software]
H. Li, Z. Lv, L. You, Z. Xu, J. Li, and X. Ma, "Fast Spatio-temporal Modeling Based on Hypergraph Structure", submitted to ACM Transactions on Knowledge Discovery from Data.
X. Zhao, Z. Yu, L. You, L. Lei, and D. Yuan, "Massive Beam Scheduling in LEO Systems: Low Complexity via Effective Interference Approximation", submitted to IEEE Networking Letters.

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