| 2026 | ISIT | Iterative Decoding of Stabilizer Codes under Radiation-Induced Correlated Noise. | Anuj K. Nayak, Paul Baity, Peter J. Love, Nicholas Jeon, Byung-Jun Yoon, Adolfy Hoisie, Lav R. Varshney |
| 2025 | COLING | Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features. | Gilchan Park, Paul Baity, Byung-Jun Yoon, Adolfy Hoisie |
| 2025 | CVPR | Scale-Invariant Implicit Neural Representations For Object Counting. | Siyuan Xu, Yucheng Wang, Xihaier Luo, Byung-Jun Yoon, Xiaoning Qian |
| 2025 | ICLR | Pareto Prompt Optimization. | Guang Zhao, Byung-Jun Yoon, Gilchan Park, Shantenu Jha, Shinjae Yoo, Xiaoning Qian |
| 2024 | AISTATS | Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting. | Siyuan Xu, Yucheng Wang, Mingzhou Fan, Byung-Jun Yoon, Xiaoning Qian |
| 2024 | ICASSP | Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks. | Sanket R. Jantre, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon |
| 2024 | ICML | Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution. | Xihaier Luo, Xiaoning Qian, Byung-Jun Yoon |
| 2024 | ICPR | When Uncertainty-Based Active Learning May Fail? | Amir Hossein Rahmati, Mingzhou Fan, Ruida Zhou, Nathan M. Urban, Byung-Jun Yoon, Xiaoning Qian |
| 2024 | UAI | Multi-fidelity Bayesian Optimization with Multiple Information Sources of Input-dependent Fidelity. | Mingzhou Fan, Byung-Jun Yoon, Edward R. Dougherty, Nathan M. Urban, Francis J. Alexander, Raymundo Arryave, Xiaoning Qian |
| 2022 | ICASSP | Adaptive Group Testing with Mismatched Models. | Mingzhou Fan, Byung-Jun Yoon, Francis J. Alexander, Edward R. Dougherty, Xiaoning Qian |
| 2021 | AAAI | Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science. | Ziyu Xiang, Mingzhou Fan, Guillermo Vzquez Tovar, William Trehern, Byung-Jun Yoon, Xiaofeng Qian, Raymundo Arryave, Xiaoning Qian |
| 2021 | ACSSC | AI-Enabled High-Throughput Wireless Telemetry for Effective Photodynamic Therapy. | Woo Seok Kim, Hyun-Myung Woo, M. Ibrahim Khot, Sungcheol Hong, David G. Jayne, Byung-Jun Yoon, Sung Il Park |
| 2021 | AISTATS | Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty. | Guang Zhao, Edward R. Dougherty, Byung-Jun Yoon, Francis J. Alexander, Xiaoning Qian |
| 2021 | ICLR | Uncertainty-aware Active Learning for Optimal Bayesian Classifier. | Guang Zhao, Edward R. Dougherty, Byung-Jun Yoon, Francis J. Alexander, Xiaoning Qian |
| 2020 | ACSSC | Machine Learning Enabled Adaptive Wireless Power Transmission System for Neuroscience Study. | Hyun-Myung Woo, Woo Seok Kim, Sungcheol Hong, Vivekanand Jeevakumar, Clay M. Smithhart, Theodore J. Price, Byung-Jun Yoon, Sung Il Park |
| 2020 | ACSSC | Network-Based RNA Structural Alignment Through Optimal Local Neighborhood Matching. | Hyun-Myung Woo, Byung-Jun Yoon |
| 2016 | ICASSP | Co-segmentation of multiple images through random walk on graphs. | Yijie Wang, Byung-Jun Yoon, Xiaoning Qian |
| 2012 | ICASSP | Structural intervention of gene regulatory networks by general rank-k matrix perturbation. | Xiaoning Qian, Byung-Jun Yoon, Edward R. Dougherty |
| 2012 | RECOMB | RESQUE: Network Reduction Using Semi-Markov Random Walk Scores for Efficient Querying of Biological Networks (Extended Abstract). | Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon |
| 2011 | ACSSC | Session TA8a1: Signal processing methods for representation, analysis, and control of biological systems. | Byung-Jun Yoon, Xiaoning Qian |
| 2011 | ICASSP | Contour-based hidden Markov model to segment 2D ultrasound images. | Xiaoning Qian, Byung-Jun Yoon |
| 2011 | ICASSP | Fast network querying algorithm for searching large-scale biological networks. | Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon |
| 2010 | ICASSP | Shape matching based on graph alignment using hidden Markov models. | Xiaoning Qian, Byung-Jun Yoon |
| 2010 | ICASSP | Identifying reliable subnetwork markers in protein-protein interaction network for classification of breast cancer metastasis. | Junjie Su, Byung-Jun Yoon |
| 2008 | DCC | Coding Overcomplete Representations of Audio Using the MCLT. | Byung-Jun Yoon, Henrique S. Malvar |
| 2007 | ICASSP | Robust Adaptive Beamforming Algorithm using Instantaneous Direction of Arrival with Enhanced Noise Suppression Capability. | Byung-Jun Yoon, Ivan Tashev, Alex Acero |
| 2007 | ICASSP | Fast Search of Sequences with Complex Symbol Correlations using Profile Context-Sensitive HMMS and Pre-Screening Filters. | Byung-Jun Yoon, P. P. Vaidyanathan |
| 2006 | ICASSP | Profile Context-Sensitive HMMs for Probabilistic Modeling of Sequences With Complex Correlations. | Byung-Jun Yoon, P. P. Vaidyanathan |
| 2005 | ICASSP | Optimal alignment algorithm for context-sensitive hidden Markov models. | Byung-Jun Yoon, P. P. Vaidyanathan |
| 2004 | ICASSP | Wavelet-based denoising by customized thresholding. | Byung-Jun Yoon, Palghat P. Vaidyanathan |
| 2004 | ISCAS | Discrete pdf estimation in the presence of noise. | Byung-Jun Yoon, Palghat P. Vaidyanathan |
| 2003 | ICASSP | Discrete probability density estimation using multirate DSP models. | Palghat P. Vaidyanathan, Byung-Jun Yoon |