Publications

2026 | 2025 | 2024 | 2023 | 2022 | 2021 and earlier

• B. Oral and E. Koyuncu, “REPA: Random-Order Embedding Predictive Autoregression for Sparse Vector Field Reconstruction,” IEEE International Conference on Image Processing (ICIP), Tampere, Finland, Sept. 13–17, 2026.
• E. Koyuncu, “Theoretical Guarantees for One-Shot Magnitude Pruning and Compute-Adaptive Early Exit,” International Conference on Machine Learning (ICML), Seoul, South Korea, July 6–11, 2026.
• Y. Wong and E. Koyuncu, “Fo Guang Shan: Supporting Human and Machine Translations of Buddhist Scriptures for Over Three Decades,” International Conference on Cultural Diversity and Funded Translations, April 20th–22nd, 2026. Invited paper.
• E. Hamdan, A. F. Tharima, M. Z. M. Tohir, D. N. S. Musa, E. Koyuncu, A. J. Watts, and A. E. Cetin, “Deep learning based wildfire detection for peatland fires using transfer learning,” 4th International Smoke Symposium (ISS4), Mar. 2026. Invited paper.
• A. Gormez and E. Koyuncu, “Dataset Pruning Using Early Exit Networks,” ACM Transactions on Intelligent Systems and Technology, Feb. 2026.

• A. B. Ardic, M. Dwyer, and E. Koyuncu, “Decentralized Model-Distributed Inference,” IEEE Military Communications Conference (MILCOM), Los Angeles, CA, October 6-10, 2025.
• D. Macario, H. Seferoglu, and E. Koyuncu, “Model-Distributed Inference for Large Language Models at the Edge,” IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN), Lille, France, July 7-8, 2025 (Best paper award).

• A. Martinino, O. Khanolkar, E. Koyuncu, E. Petrochenkov, G. Bencini, J. Olazar, P. Di Cocco, J. Almario-Alvarez, M. Spaggiari, E. Benedetti, and I. Tzvetanov, “Predictive Capacities of a Machine Learning Decision Tree Model Created to Analyze Feasibility of an Open or Robotic Kidney Transplant,” The International Journal of Medical Robotics and Computer Assisted Surgery, Dec. 2024.
• R. Miao and E. Koyuncu, “Contrastive and Non-Contrastive Strategies for Federated Self-Supervised Representation Learning and Deep Clustering,” IEEE Journal of Selected Topics in Signal Processing: Special Issue on Seeking Low-dimensionality in Deep Neural Networks (SLowDNN), Sept. 2024.
• A. Gormez and E. Koyuncu, “Class-aware Initialization of Early Exits for Pre-training Large Language Models,” ICML Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization, Vienna, Austria, July 27, 2024.
• E. Koyuncu, “Why Pruning and Conditional Computation Work: A High-Dimensional Perspective,” ICML Workshop on High-dimensional Learning Dynamics, Vienna, Austria, July 26, 2024.
• M. Colocrese, E. Koyuncu, and H. Seferoglu, “Early-Exit Meets Model-Distributed Inference at Edge Networks,” IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN), Boston, MA, July 10-11, 2024.
• E. Koyuncu, “Information Theory in Emerging Wireless Communication Systems and Networks,” (Editorial) Entropy, June 2024.
• Y. Wong, N. Parde and E. Koyuncu, “Humanistic Buddhism Corpus: A Challenging Domain-Specific Dataset of English Translations for Classical and Modern Chinese,” Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), Torino, Italy, May 20-25, 2024.
• A. Gormez and E. Koyuncu, “Class based thresholding in early exit semantic segmentation networks,” IEEE Signal Processing Letters, Apr. 2024.
• R. Miao and E. Koyuncu, “Federated momentum contrastive clustering,” ACM Transactions on Intelligent Systems and Technology, Mar. 2024.
• E. Koyuncu, “Centroidal clustering of noisy observations by using r^th power distortion measures,” IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 1, pp. 1430-1438, Jan. 2024.

• R. Miao, E. Koyuncu, “Federated representation learning through clustering,” IEEE Workshop on Machine Learning for Signal Processing (MLSP), Sept. 2023.
• A. Gormez, E. Koyuncu, “Dataset pruning using early exit networks,” ICML Localized Learning Workshop, July 2023.
• R. Miao, E. Koyuncu, “Clustering-guided federated learning of representations,” ICML Workshop on Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities, July 2023.
• H. Pan, E. Koyuncu, A. E. Cetin, “Robust array signal processing using L1-kernel-based principal component analysis,” IEEE Antennas and Propagation in Wireless Communications (APWC), Oct. 2023.
• A. Ardic, H. Seferoglu, S. El Rouayheb, E. Koyuncu, “Random walking snakes for decentralized learning at edge networks,” IEEE International Symposium on Local and Metropolitan Area Networks, July 2023.
• R. Miao, E. Koyuncu, “Resource-efficient federated clustering with past negatives pool,” IEEE ICASSP Workshop on Timely and Private Machine Learning over Networks, June 2023.
• P. Li, H. Seferoglu, E. Koyuncu, “Model distributed inference in multi-source edge networks,” IEEE ICASSP Workshop on Timely and Private Machine Learning over Networks, June 2023.
• P. Li, E. Koyuncu, H. Seferoglu, “Adaptive and resilient model-distributed inference in edge computing systems,” IEEE Open Journal of the Communications Society, vol. 4, May 2023.
• E. Koyuncu, “Memorization capacity of neural networks with conditional computation,” International Conference on Learning Representations, May 2023.

• T. Li, H. Seferoglu, E. Koyuncu, “REDIT: Resilient distributed text-to-speech at edge networks,” IEEE Global Communications Conference, Dec. 2022.
• A. Gormez, E. Koyuncu, “Pruning early exit networks,” Workshop on Sparsity in Neural Networks, July 2022.
• M. Shabanighazikelayeh, E. Koyuncu, “Optimal placement of UAVs for minimum outage probability,” IEEE Transactions on Vehicular Technology, Sept. 2022.
• A. Gormez, V. Dasari, E. Koyuncu, “E2CM: Early exit via class means for efficient supervised and unsupervised learning,” IEEE World Congress on Computational Intelligence (WCCI): International Joint Conference on Neural Networks (IJCNN), July 2022. Also presented at Eastern European Machine Learning Summer School, July 2022 (Top-voted poster of the summer school).
• H. Pan, D. Badawi, C. Chen, A. Watts, E. Koyuncu, A. E. Cetin, “Deep neural network with Walsh-Hadamard transform layer for ember detection during a wildfire,” 18th CVPR Workshop on Perception Beyond the Visible Spectrum (PBVS), June 2022.
• H. Pan, D. Badawi, R. Miao, E. Koyuncu, A. E. Cetin, “Multiplication-avoiding variant of power iteration with applications,” IEEE ICASSP, May 2022.

• H. Pan, D. Badawi, E. Koyuncu, A. E. Cetin, “Robust principal component analysis using a novel kernel related with the L1-norm,” EUSIPCO, Aug. 2021.
• P. Li, H. Seferoglu, V. Dasari, E. Koyuncu, “Model-distributed DNN training for memory-constrained edge computing devices,” IEEE LANMAN, July 2021.
• P. Li, E. Koyuncu, H. Seferoglu, “RESPIPE: Resilient model-distributed DNN training at edge networks,” IEEE ICASSP, June 2021.
• M. Shabanighazikelayeh and E. Koyuncu, “Optimal UAV deployment for rate maximization in IoT networks,” IEEE PIMRC, Sept. 2020.
• E. Koyuncu, “The tradeoff between coverage and computation in wireless networks,” IEEE ICC, June 2020.
• M. Biasielli, C. Bolchini, L. Cassano, E. Koyuncu, A. Miele, “A neural network based fault management scheme for reliable image processing,” IEEE Transactions on Computers, May 2020.
• S. Battaglino, E. Koyuncu, “A generalization of principal component analysis,” IEEE ICASSP, May 2020.
• U. Muneeb, E. Koyuncu, Y. Keshtkarjahromi, H. Seferoglu, M. F. Erden, A. E. Cetin, “Robust and computationally-efficient anomaly detection using powers-of-two networks,” IEEE ICASSP, May 2020.
• M. Shabanighazikelayeh, E. Koyuncu, “Outage-optimized deployment of UAVs,” IEEE PIMRC, Sept. 2019.
• E. Koyuncu, H. Jafarkhani, “Asynchronous local construction of bounded-degree network topologies using only neighborhood information,” IEEE Transactions on Communications, Mar. 2019.
• E. Koyuncu, M. Shabanighazikelayeh, H. Seferoglu, “Deployment and trajectory optimization of UAVs: A quantization theory approach,” IEEE Transactions on Wireless Communications, Dec. 2018.
• E. Koyuncu, X. Zou, H. Jafarkhani, “Interleaving channel estimation and limited feedback for point-to-point systems with a large number of transmit antennas,” IEEE Transactions on Wireless Communications, Oct. 2018.
• E. Koyuncu, “Power-efficient deployment of UAVs as relays,” IEEE SPAWC, June 2018.
• E. Koyuncu, R. Khodabakhsh, N. Surya, H. Seferoglu, “Deployment and trajectory optimization for UAVs: A quantization theory approach,” IEEE WCNC, Apr. 2018.
• E. Koyuncu, “Performance gains of optimal antenna deployment in massive MIMO systems,” IEEE Transactions on Wireless Communications, Apr. 2018.
• J. Guo, E. Koyuncu, H. Jafarkhani, “A source coding perspective on node deployment in two-tier networks,” IEEE Transactions on Communications, Feb. 2018.
• E. Koyuncu, “Performance gains of optimal antenna deployment for massive MIMO systems,” IEEE GLOBECOM, Dec. 2017.
• E. Koyuncu, H. Jafarkhani, “On the minimum average distortion of quantizers with index-dependent distortion measures,” IEEE Transactions on Signal Processing, Sept. 2017.
• J. Guo, E. Koyuncu, H. Jafarkhani, “Energy-efficiency in two-tiered wireless sensor networks,” IEEE ICC, May 2017.
• E. Koyuncu, C. Remling, X. Liu, H. Jafarkhani, “Outage-optimized multicast beamforming with distributed limited feedback,” IEEE Transactions on Wireless Communications, Apr. 2017.
• E. Koyuncu, H. Jafarkhani, “Local construction of bounded-degree network topologies using only neighborhood information,” IEEE WCNC, Mar. 2017.
• X. Liu, H. Jafarkhani, E. Koyuncu, “Amplify-and-forward relay networks with variable-length limited feedback,” IEEE Transactions on Wireless Communications, Nov. 2016.
• E. Koyuncu, H. Jafarkhani, “Delay-limited and ergodic capacities of MIMO channels with limited feedback,” IEEE Transactions on Communications, Sept. 2016.
• E. Koyuncu, C. Remling, X. Liu, H. Jafarkhani, “Outage-optimized distributed quantizers for multicast beamforming,” IEEE ISIT, July 2016.
• E. Koyuncu, H. Jafarkhani, “On the minimum distortion of quantizers with heterogeneous reproduction points,” IEEE DCC, Mar. 2016.
• S. Zhou, H. Seferoglu, and E. Koyuncu, “Flow control and scheduling for shared FIFO queues over wireless networks,” ITA, Feb. 2016 (invited paper).
• E. Koyuncu, H. Jafarkhani, “Connectivity of random wireless networks with distributed resource allocation,” IEEE GLOBECOM, Dec. 2015.
• X. Liu, H. Jafarkhani, and E. Koyuncu, “Variable-length limited feedback for amplify-and-forward relay networks,” IEEE GLOBECOM, Dec. 2015.
• E. Koyuncu, H. Jafarkhani, “Interleaving training and limited feedback for point-to-point massive multiple-antenna systems,” IEEE ISIT, June 2015.
• X. Liu, E. Koyuncu, H. Jafarkhani, “Cooperative quantization for two-user interference channels,” IEEE Transactions on Wireless Communications, June 2015.
• X. Liu, E. Koyuncu, H. Jafarkhani, “Multicast networks with variable-length limited feedback,” IEEE Transactions on Wireless Communications, Jan. 2015.
• X. Liu, H. Jafarkhani, E. Koyuncu, “Distributed channel quantization for two-user interference networks,” IEEE GLOBECOM, Dec. 2014.
• X. Liu, E. Koyuncu, H. Jafarkhani, “A variable-length channel quantizer for multicast networks with two users,” IEEE GLOBECOM, Dec. 2014.
• E. Koyuncu, H. Jafarkhani, “Variable-length limited feedback beamforming in multiple-antenna fading channels,” IEEE Transactions on Information Theory, Nov. 2014.
• E. Koyuncu, H. Jafarkhani, “Delay-limited capacity of MIMO channels with limited feedback,” IEEE ISIT, July 2014.
• E. Koyuncu, H. Jafarkhani, “Variable-length channel quantizers for maximum diversity and array gains,” IEEE ISIT, July 2013.
• E. Koyuncu, H. Jafarkhani, “Very low-rate variable-length channel quantization for minimum outage probability,” IEEE DCC, Mar. 2013.
• E. Koyuncu, H. Jafarkhani, “Distributed beamforming in wireless multiuser relay-interference networks with quantized feedback,” IEEE Transactions on Information Theory, July 2012.
• E. Koyuncu, H. Jafarkhani, “On the structure of limited feedback beamforming codebooks for amplify-and-forward relay networks,” IEEE Transactions on Information Theory, May 2012.
• E. Koyuncu, H. Jafarkhani, “The necessity of relay selection for beamforming in amplify-and-forward networks,” IEEE ISIT, Aug. 2011.
• E. Koyuncu, H. Jafarkhani, “On relay-interference networks with quantized feedback,” Asilomar, Nov. 2010.
• E. Koyuncu, H. Jafarkhani, “A systematic distributed quantizer design method with an application to MIMO broadcast channels,” IEEE DCC, Mar. 2010.
• E. Koyuncu, H. Jafarkhani, “Beamforming in wireless relay-interference networks with quantized feedback,” IEEE GLOBECOM, Nov. 2009.
• E. Koyuncu, Y. Jing, H. Jafarkhani, “Distributed beamforming in wireless relay networks with quantized feedback,” IEEE JSAC, Oct. 2008.