S. Kang, S. Lim, and S. Jun, "Lembas: An appliance for Scalable Genome Alignment," ISCA, 2026.

D. Lee, J. Shin, J. Bae, H. Cho, and J. Kim, "Weight Initialization based on Gradient Similarity for Versatile Machine Unlearning," PETS, 2026.

E. Kwon, "TACo: Training-Free, Hardware-Aware ViT Architecture Search with a Hypervolume-Based Unified Zero-Cost Score," DAC, 2026.

H. Cho, S. An, H. Park, and J. Kim, "SharedKD: Gradient-Guided Dynamic Student Discovery inside a Single 3D Object Detector," DAC, 2026.

J. Lee, S. Jo, J.-H. Park, Y. Ryou, J. Yang, and J. Kim, "Nonlinear Color Transfer via Learnable Bezier Flows," CVPR, 2026.

S. Kwon, G. Lee, D. Jung, and J. Lee, "FEAT: Fashion Editing and Try-On from Any Design," CVPR 2026.

B. Kim, S. Um, and J. C. Ye, "Diverse Text-to-Image Generation via Contrastive Noise Optimization," ICLR, 2026.

M. Kim, Y.-H. Kim, and M. Park, "Safety-Guided Flow (SGF): A Unified Framework for Negative Guidance in Safe Generation," ICLR (Oral), 2026.

H. Lee, H. Jo, J. Chung, and J. Kim, "SQuaT: Self-Supervised Knowledge Distillation via Student-Aware Quantized Teacher Features," AISTATS, 2026.

J. Nam, J. Kim, E. Kwon, and S. Kang, "Efficient Down-sampling in Hybrid Neural Network using Adversarial Autoencoders," DATE, 2026.

M. Kim, D. Lee, and J. Noh, "ComVi: Context-Aware Optimized Comment Display in Video Playback," ACM CHI, 2026.

J. Kang, C. Han, S. Kim, and H.-M. Park, "Efficient Time-Restricted kNN Search in High-Dimensional Data Using Multi-Level Block Indexing, with Extensions to Multi-Attribute Filtering," ACM TKDD, 2026.

M. Torquato, D. Lim, T. A. Nguyen, J. Li, E. Choi, D. Min, R. M. Cadena, B. Nogueira, E. Andrade, G. Callou, M. Di Mauro, F. A. Silva, and P. Maciel, "S-iNAS: A Performance-Centric SRN Modeling and Analysis of Time and Event Based Scaling Strategies in Ceph-Based Industrial Network-Attached Storage," Journal of Network and Systems Management, 2026.

D. Seo, S. Um, S. Lee, J. C. Ye, and H. Chung, "Physics-Guided and Fabrication-Aware Inverse Design of Photonic Devices Using Diffusion Models," ACS Photonics, 2026.

H. Kim, J. Yoon, and S. M. Yoon, "Dynamic window transformer for three-dimensional indoor scene segmentation," Neurocomputing, March 2026.

J. Eom, M. Kang, M. Yoon, N. Dutt, J. Kim, and J. Lee, "PRCSL: Privacy-preserving Continual Split Learning for Decentralized Medical Diagnosis," Machine Learning with Applications, 2026.

S. Kim, G. Yoon, J. Song, and S. M. Yoon, "Scalable feed-forward and backward quantum image representation," Engineering Applications of Artificial Intelligence, February 2026.

D. Seo, J. Jung, Y. Yoon, P.-X. Chen, Y. Joo, S.-S. Lim, and N. Dutt, "DPAS: A Prompt, Accurate and Safe I/O Completion Method for SSDs," USENIX FAST, 2026.

E. Yoon, T. Park, and J. Lee, "Training-Free Few-Shot Segmentation via Vision-Language Guided Prompting," WACV 2026.

H. Nam and E. Im, "Enhancing Browser Physics Simulations: WebAssembly and Multithreading Strategies," IEEE Access, Vol. 13, 2025.

C. Jang, D. Cho, S. Lee, H. Lee, and J. Lee, "Reliable Decision-Making via Calibration-Oriented Retrieval-Augmented Generation," NeurIPS, 2025.

H. Lee, M. Choi, H. Kim, K. Cho, R. Ranganath, and J. Lee, "Test Time Scaling for Neural Processes," NeurIPS, 2025.

M. Kim, D. Kim, A. Yusuf, S. Ermon, and M. Park, "Training-Free Safe Denoisers For Safe Use of Diffusion Models," NeurIPS, 2025.

S. Lee, G. Nam, M. Choi, H. Lee, and J. Lee, "PANGEA: Projection-Based Augmentation with Non-Relevant General Data for Enhanced Domain Adaptation in LLMs," NeurIPS, 2025.

Y. Jung, H. Lee, W. Chen, T. Mollenhoff, Y. Li, J. Lee, and M. E. Khan, "Compact Memory for Continual Logistic Regression," NeurIPS, 2025.

M. Choe, G. Lee, C. Han, S. Kim, W. Hu, H. Hwang, G. Park, B. Kim, H. Lee, H.-M. Park, and K. Shin, "SkySearch: Satellite Video Search at Scale," KDD, 2025.

S. An, J. Kim, K. Lee, J. Huh, C. Kwak, Y. Lee, M. Jin, and J. Kim, "Sparse Structure Exploration and Re-optimization for Vision Transformer," UAI, 2025.

S. Um, B. Kim, and J. C. Ye, "Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation," ICML, 2025.

C. Melo, G. D. Gonçalves, F. A. Silva, I. Fé, E. Moura, A. Soares, E. Choi, D. Min, J.-W. Lee, T. A. Nguyen, "Transactional Dynamics in Hyperledger Fabric: A Stochastic Modeling and Performance Evaluation of Permissioned Blockchains," ICT Express, 2025.

E. Kwon and T. Rosing, "Autonomous Model Quantization Framework for Hybrid Vision Transformers based on Reinforcement Learning," IEEE TCAD, 2025.

G. H. Lee and J. Han, "An Edge-Based Intelligent IoT Control System: Achieving Energy Efficiency with Secure Real-Time Incident Detection," J. Netw. Syst. Manag., Vol. 33, 2025.

G. Sun, S. Kang, J. He, S.-M. Lim, and S.-W. Jun, "Labidus: RISC-V Overlay with Streaming Asynchronous Custom Instructions," IEEE ASAP, 2025.

H.-K. Bae, J. Kim, J. Lee, and S.-W. Kim, "DUET: Dually Guided Knowledge Distillation from Explicit Feedback," Information Fusion, 2025.

I. Fé, T. A. Nguyen, E. Choi, D. Min, J.-W. Lee, V. Barbosa, A. Soares, P. A. L. Rego, A. Mei, F. A. Silva, "Energy-Efficient Performance Optimization in Kubernetes Microservices Using Generalized Stochastic Petri Net," Journal of Network and Computer Applications, 2025.

J. Back, N. Ahn, and J. Kim, "Magnitude attention-based dynamic pruning," Expert Systems with Applications, 2025.

J. Kim, J. Lee, D. Han, and N. Kwak, "Layerwise-priority-based gradient adjustment for few-shot learning," Expert Systems with Applications, 2025.

J. Kim, J. Shin, S. An, and J. Kim, "Exploring Diverse Sparse Network Structures via Dynamic Pruning with Weight Alignment," CIKM, 2025.

J. Seo, S. Choi, and E. Paek, "NovoRank: Refinement for De Novo Peptide Sequencing Based on Spectral Clustering and Deep Learning," Journal of Proteome Research, 2025.

J. Shin, J. Kim, and J. Kim, "Entropy-Guided Meta-Initialization regularization for few-shot text classification," Knowledge-Based Systems, 2025.

J. Shin, Y. Kim, and J. Lee, "A Plug-In Curriculum Scheduler for Improved Deformable Medical Image Registration," IEEE Access, 2025.

J. W. Rocha, E. Gomes, V. Barbosa, A. Sabino, L. N. Lima, G. Callou, F. A. Silva, E. Choi, T. A. Nguyen, D. Min, J.-W. Lee, "Enhancing Data Harvesting Systems: Performance Quantification of Cloud-Edge-Sensor Networks Using Queueing Theory," ICT Express, 2025.

J.-S. Kim, M. Kim, G.-U. Kim, T.-H. Oh, and J.-H. Kim, "Factorized Multi-Resolution HashGrid for Efficient Neural Radiance Fields," IEEE RA-L / ICRA, 2025.

K. J. Song, M. Kim, Y. J. Heo, ..., S. Choi, ..., and M.-S. Kim, "Assessing Long-Term Stored Tissues for Multi-Omics Data Quality and Proteogenomics Suitability," Journal of Proteome Research, 2025.

K. Shim, S.-H. Park, B.-S. Kim, and B. An, "Exploiting Opportunistic Scheduling Schemes on Cooperative NOMA Networks Under Active Eavesdropper," IEEE Access, Vol. 13, pp. 111484-111507, 2025.

M. Jung, S. Jeong, Y. Kim, and J. Lee, "EDAS: Effective Data Augmentation Strategies for test-time adaptation," ICT Express, 2025.

M. Park, J. Song, and S. M. Yoon, "Visual object tracking using learnable target-aware token emphasis," Engineering Applications of Artificial Intelligence, June 2025.

S. An, J. Shin, and J. Kim, "Quantization-aware training with Dynamic and Static Pruning," IEEE Access, 2025.

S. Chang, R. Moon, D. Nam, ..., S. Choi, ..., and H. Park, "Hypoxia increases methylated histones to prevent histone clipping and heterochromatin redistribution during Raf-induced senescence," Nucleic Acids Research, 2025.

S. Choi and B. Zhang, "PepQueryMHC: Rapid and comprehensive tumor antigen prioritization from immunopeptidomics data," Genome Biology, 2025.

S. Jang, J. Kim, H. Shon, C. Park, and M. Yoon, "Detecting Unknown Cyberattacks on Traffic Management Center in C-ITS," IEEE Communications Magazine, 2025.

S. Kim, G.-J. Yoon, J. Song, and S. M. Yoon, "Scale-invariant mask-guided vehicle keypoint detection from a monocular image," Journal of Visual Communication and Image Representation, March 2025.

S. Kim, J. Baek, J. Kim, and J. Lee, "GUIDE-CoT: Goal-driven and User-Informed Dynamic Estimation for Pedestrian Trajectory using Chain-of-Thought," AAMAS 2025.

S. Moon and E. Kwon, "DeltaTrack: Flow-Driven Multiple Object Tracking Accelerator with Variable LSB Approximation," IEEE TCAS-II, 2025.

S. Song and J. Lee, "Leveraging Text-Driven Semantic Variation for Robust OOD Segmentation," IROS 2025.

S. Um and J. C. Ye, "Minority-Focused Text-to-Image Generation via Prompt Optimization," CVPR (Oral), 2025.

S.-C. Kim and Y. M. Jang, "A Semantic Segmentation Dataset and Real-Time Localization Model for Anti-Collision Alarm for Forklifts," IEEE Access, 2025.

S.-M. Lim, S. Kang, and S.-W. Jun, "Bancroft: Genomics Acceleration Beyond On-Device Memory," PACT, 2025.

Y. Kim, "Leveraging Single Positive Class Label Supervision for Weakly Supervised Semantic Segmentation," IEEE Access, 2025.

Y. Lee, G.-J. Yoon, J. Song, and S. M. Yoon, "Single-stage convolutional neural radiance fields," Pattern Analysis and Applications, February 2025.

Y. Lee, J. Im, J. Kim, and M. Yoon, "Mitigating Semantic Label Divergence in Federated Learning: Obfuscated Encoding and Alert Filtering for Security Monitoring," PLoS ONE, 2025.

B. Park, H. Lee, and J. Lee, "Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series," ICLR, 2025.

H. Lee, C. Jang, D. B. Lee, and J. Lee, "Dimension Agnostic Neural Processes," ICLR, 2025.

H. Lee, S. Lee, and J. Lee, "Variational Bayesian Pseudo-Coreset," ICLR, 2025.

D. Lee, J. Choi, and J. Noh, "OptiSub: Optimizing Video Subtitle Presentation for Varied Display and Font Sizes via Speech Pause-Driven Chunking," ACM CHI, 2025.

H.-K. Bae, H.-R. Jang, W.-Y. Shin, and S.-W. Kim, "Ranking Items by the Current-Preferences and Profits: A List-wise Learning-to-Rank Approach to Profit Maximization," ACM WWW, 2025.

M. Kim, D. Lee, and J. Noh, "Generating Highlight Videos of a User-Specified Length using Most Replayed Data," ACM CHI, 2025.

M. Kim, J. Ko, and M. Park, "Bayesian Principles Improve Prompt Learning In Vision-Language Models," AISTATS, 2025.

S. Sinha, S.-H. Yum, and S.-H. Park, "Exploratory Data Analysis for AI-Based Channel Selection for Stable Coastal Maritime Wireless Communications in Emergency Situations," ICAIIC, pp. 585-589, 2025.

S.-C. Kim and Y. M. Jang, "Deep Learning-Based Lightweight LiDAR and Fisheye Camera Fusion for Pedestrian Detection," ICAIIC, 2025.

Y.-W. Jun and S.-C. Kim, "Evaluating SAM-Based Labeling Approaches for Autonomous Driving," ICAIIC, 2025.

I. Abdulhakin, and H.-M. Park, "Latent Representation Generation for Efficient Content-Based Image Retrieval in Weather Satellite Images Using Self-Supervised Segmentation", BigComp, 2024.

H. Park, and H.-M. Park, "Enhancing Heterophilic Graph Neural Network Performance through Label Propagation in K-Nearest Neighbor Graphs", BigComp, 2024.

C. Jang, H. Lee, J. Kim, and J. Lee, "Model Fusion through Bayesian Optimization in Language Model Fine-Tuning," NeurIPS (Spotlight), 2024.

J. Shin, Y. Kim, S. Hong, and J. Lee, "Learning Dual Hierarchical Representation for 3D Surface Reconstruction," ACCV, 2024.

S. Um and J. C. Ye, "Self-Guided Generation of Minority Samples Using Diffusion Models," ECCV, 2024.

J. Shin, S. Han, and J. Kim, "Cooperative Meta-Learning with Gradient Augmentation," UAI, 2024.

D. Seo, Y. Joo, and N. Dutt, "Improving Virtualized I/O Performance by Expanding the Polled I/O Path of Linux," ACM HotStorage, pp. 31-37, 2024.

M. Kim, J.-S. Kim, S.-Y. Yun, and J.-H. Kim, "Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs," ICML, 2024.

E. Choi, T. Kim, S. J. Hong, T. Kim, M. Kang, Y.-M. Shon, E. Park, "Transcutaneous Auricular Vagus Nerve Stimulation Can Alter Autonomic Function and Induce an Antiepileptic Effect in Pentylenetetrazol-Induced Seizures in Rats," IEEE Access, 2024.

E. Kwon, M. Zhou, W. Xu, T. Losing, and S. Kang, "RL-PTQ: RL-based Mixed Precision Quantization for Hybrid Vision Transformers," DAC, 2024.

G. Araújo, V. Barbosa, L. N. Lima, A. Sabino, C. Brito, I. Fé, P. A. L. Rego, E. Choi, D. Min, T. A. Nguyen, F. A. Silva, "Energy Consumption in Microservices Architectures: A Systematic Literature Review," IEEE Access, 2024.

G. H. Lee, J. Han, and S. Lee, "Economic and Operational Benefits of Centralized Energy Storage Systems for Effective Power-Sharing in Multi-Tenant Buildings," IEEE Access, Vol. 12, 2024.

G.-J. Yoon, G. Jung, J. Song, and S. M. Yoon, "View synthesis with multiplane images from computationally generated RGB-D light fields," Engineering Applications of Artificial Intelligence, June 2024.

H. Park, G. H. Lee, J. Han, and J. K. Choi, "Multiclass autoencoder-based active learning for sensor-based human activity recognition," Future Gener. Comput. Syst., Vol. 151, 2024.

I. An, G. An, T. Kim, and S.-E. Yoon, "Microphone Pair Training for Robust Sound Source Localization With Diverse Array Configurations," IEEE RA-L, 2024.

I. Fé, T. A. Nguyen, M. Di Mauro, F. Postiglione, A. Ramos, A. Soares, E. Choi, D. Min, J.-W. Lee, F. A. Silva, "Energy-Aware Dynamic Response and Efficient Consolidation Strategies for Disaster Survivability of Cloud Microservices Architecture," Computing, 2024.

J. Ha, E. Yoon, S. Kim, J. Kim, and J. Lee, "Leveraging Inductive Bias in ViT for Medical Image Diagnosis," BMVC 2024.

J. Han, G. H. Lee, J. Lee, and J. K. Choi, "IEC-TPC: An Imputation Error Cluster-Based Approach for Energy Optimization in IoT Data Transmission Period Control," IEEE Internet Things J., Vol. 11, 2024.

J. Lee and J. Lee, "Controllable 3D Object Generation with Single Image Prompt," ICPR 2024.

K. Hwang, G.-J. Yoon, J. Song, and S. M. Yoon, "Fusing bi-directional global-local features for single image super-resolution," Engineering Applications of Artificial Intelligence, January 2024.

K. J. Song, S. Choi, ..., and M.-S. Kim, "Proteogenomic analysis reveals non-small cell lung cancer subtypes predicting chromosome instability, and tumor microenvironment," Nature Communications, 2024.

L. Santos, C. Brito, I. Fé, J. Carvalho, M. F. Torquato, E. Choi, D. Min, J.-W. Lee, T. A. Nguyen, F. A. Silva, "Event-Based Moving Target Defense in Cloud Computing With VM Migration: A Performance Modeling Approach," IEEE Access, 2024.

M. Kim, W. Jang, J. Hur, and M. Yoon, "Relative Frequency-Rank Encoding for Unsupervised Network Anomaly Detection," IEEE/ACM Trans. on Networking, Vol. 32, 2024.

M. Park, G.-J. Yoon, J. Song, and S. M. Yoon, "Unified spatio-temporal attention mixformer for visual object tracking," Engineering Applications of Artificial Intelligence, August 2024.

S. Choi and E. Paek, "pXg: Comprehensive Identification of Noncanonical MHC-I-Associated Peptides From De Novo Peptide Sequencing Using RNA-Seq Reads," Molecular & Cellular Proteomics, 2024.

S. Kim, G.-J. Yoon, J. Song, and S. M. Yoon, "Simultaneous image patch attention and pruning for patch selective transformer," Image and Vision Computing, October 2024.

S. Moon, H. Park, J. Lee, and J. Kim, "Learning Temporal Cues by Predicting Objects Move for Multi-camera 3D Object Detection," ICRA 2024.

S.-M. Lim, E. Aliaj, and S.-W. Jun, "Durin: CPU-FPGA Heterogeneous Platform for Scalable Low-Dimensional Data Clustering," IEEE BigData, 2024.

S.-M. Lim, E. Aliaj, and S.-W. Jun, "Morbius: Platform-Adaptive Hardware Accelerator for Scalable Sequence Motif Discovery," IEEE e-Science, 2024.

Y. Han, H. Seo, and M. Yoon, "Detecting Internet-of-Things Malware on Evidence Generation," IEEE Internet of Things Journal, Vol. 11, 2024.

Y. Kim, S. Kim, Y. Ro, and J. Lee, "Instance-Dependent Multilabel Noise Generation for Multilabel Remote Sensing Image Classification," IEEE JSTARS, 2024.

C. Kim, C. Han, and H.-M. Park, "BTS: Load-Balanced Distributed Union-Find for Finding Connected Components with Balanced Tree Structures," IEEE ICDE, 2024.

H. Lee, G. Nam, E. Fong, and J. Lee, "Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling," ICLR, 2024.

M. Choi, H. Lee, G. Nam, and J. Lee, "Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning," ICLR, 2024.

S. Um, S. Lee, and J. C. Ye, "Don't Play Favorites: Minority Guidance for Diffusion Models," ICLR, 2024.

D. Lee, S. Kim, J. Noh, and B. Lee, "User Performance in Consecutive Temporal Pointing: An Exploratory Study," ACM CHI, 2024.

H.-K. Bae, H.-R. Jang, Y.-S. Moon, and S.-W. Kim, "Item-Ranking Promotion in Recommender Systems," ACM WWW (Short), 2024.

H.-K. Bae, Y. Kim, H. Kim, and S.-W. Kim, "Negative Sampling in Next-POI Recommendations: Observation, Approach, and Evaluation," ACM WWW, 2024.

J. Ahn, H.-K. Bae, and S.-W. Kim, "Is the Impression Log Beneficial to Evaluating News Recommender Systems? No, it is Not!," ACM WWW (Short), 2024.

S. Lee, K. Cho, E. Kwon, S. Park, S. Kim, and S. Kang, "ViT-ToGo: Vision Transformer Accelerator with Grouped Token Pruning," DATE, 2024.

S.-M. Lim and S.-W. Jun, "FlexForge: Efficient Reconfigurable Cloud Acceleration via Peripheral Resource Disaggregation," DATE, 2024.

C. Han, S. Kim, and H.-M. Park, "Efficient Proximity Search in Time-evolving High-dimensional Data using Multi-level Block Indexing," EDBT, 2024.

Y. Li and S.-C. Kim, "A Study on Flight Route Optimization of UAV Air Base Station," ICOIN, 2024.

B. Kim, H. Lee, and J. Lee, "Function Space Bayesian Pseudocoreset for Bayesian Neural Networks," NeurIPS, 2023.

G. An, J.-H. Seon, I. An, Y. Huo, and S.-E. Yoon, "Topological RANSAC for Instance Verification and Retrieval without Fine-tuning," NeurIPS, 2023.

H. Seo and M. Yoon, "Generative Intrusion Detection and Prevention on Data Stream," USENIX Security, 2023.

S. Kim and H.-M. Park, "Efficient Distributed Approximate k-Nearest Neighbor Graph Construction by Multiway Random Division Forest," KDD, 2023.

E. Yun, H. Lee, G. Nam, and J. Lee, "Traversing Between Modes in Function Space for Fast Ensembling," ICML, 2023.

H. Kim, H. Lee, H. Yang, and J. Lee, "Regularizing Towards Soft Equivariance Under Mixed Symmetries," ICML, 2023.

D. Y. Hyeon, D. Nam, ..., S. Choi, ..., "Proteogenomic landscape of human pancreatic ductal adenocarcinoma in an Asian population," Nature Cancer, 2023.

E. Kwon, J. Yoon, and S. Kang, "Mobile Transformer Accelerator Exploiting Various Line Sparsity and Tile-based Dynamic Quantization," IEEE TCAD, 2023.

G. H. Lee, H. Park, J. W. Jang, J. Han, and J. K. Choi, "PPO-Based Autonomous Transmission Period Control System in IoT Edge Computing," IEEE Internet Things J., Vol. 10, 2023.

J. Hur, H. Shon, Y. J. Kim, and M. Yoon, "Packet Chunking For File Detection," IEEE/ACM Trans. on Networking, 2023.

J. Kim, "Quantization Robust Pruning With Knowledge Distillation," IEEE Access, 2023.

J. Kim, J. Yoo, Y. Song, K. Yoo, and N. Kwak, "Finding Efficient Pruned Network via Refined Gradients for Pruned Weights," ACM MM, 2023.

M. Kim, J. Lee, L. Choi, and M. Choi, "PolarGAN: Creating Realistic Arctic Sea Ice Concentration Images with User-Defined Geometric Preferences," Engineering Applications of Artificial Intelligence, 2023.

S. Hong, H. Seo, and M. Yoon, "Data Auditing for Intelligent Network Security Monitoring," IEEE Communications Magazine, Vol. 61, 2023.

S. Sinha, A. Toppinen, A. Hwang, S.-H. Park, and E. T. Won, "State-of-the-art Underwater Communication Standard in ISO/IEC JTC1," ICTC, pp. 713-716, 2023.

W. Jang, H. Kim, H. Seo, M. Kim, and M. Yoon, "SELID: Selective Event Labeling for Intrusion Detection Datasets," MDPI Sensors, Vol. 23, 2023.

Y. Joo, Y. Yoon, and J. H. Choi, "A Memory-Efficient Overwrite Detection Method for Ransomware-Proof SSDs," IEICE Trans. on Info. and Systems, Vol. 106, Issue 8, 2023.

Y. Kim, J. M. Kim, J. Jeong, C. Schmid, Z. Akata, and J. Lee, "Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification," CVPR, 2023.

Y. Yu, S. Lee, "Efficient Multi-UAV Path Planning for Collaborative Area Search Operations," Applied Sciences, Vol. 13, No. 15, 8728, 2023.

H. Lee, E. Yun, G. Nam, E. Fong, and J. Lee, "Martingale Posterior Neural Processes," ICLR (Spotlight), 2023.

H.-K. Bae, Y.-C. Lee, K. Han, and S.-W. Kim, "A Competition-Aware Approach to Accurate TV Show Recommendation," IEEE ICDE, 2023.

E. Kwon, H. Song, J. Park, and S. Kang, "Mobile Accelerator Exploiting Sparsity of Multi-Heads, Lines, and Blocks in Transformers," DATE, 2023.

H. Song, J. Yoon, D. Kim, E. Kwon, and S. Kang, "FPGA-Based Accelerator for Rank-Enhanced and Highly-Pruned Block-Circulant Neural Networks," DATE, 2023.

J. Ahn, H.-K. Bae, and S.-W. Kim, "Is the Impression Log Beneficial to Effective Model Training in News Recommender Systems? No, It's NOT," ACM WWW (Short), 2023.

H.-K. Bae, J. Ahn, D. Lee, and S.-W. Kim, "LANCER: A Lifetime-Aware News Recommender System," AAAI, 2023.

M. Lamine and S.-C. Kim, "Introduction of Optimization Algorithm for Adaptive Gradient Descent for Machine Learning," ICAIIC, 2023.

S. Um and C. Suh, "A Fair Generative Model Using LeCam Divergence," AAAI (Oral), 2023.

J. Jang, K. Yoo, S. Kim, C. Kong, J. Kim, and N. Kwak, "Self-Distilled Self-Supervised Representation Learning," WACV, 2023.

Y. Kim and S.-C. Kim, "Abnormal human behavior detection based on VAE-LSTM hybrid model," ICOIN, 2023.

Y. Li and S.-C. Kim, "Vehicle Platooning Algorithm for Improving Following Control," ICOIN, 2023.

A. Kim, S. Lee, E. Kwon, and S. Kang, "Adaptive FSP: Adaptive Architecture Search with Filter Shape Pruning," ACCV, 2022.

Y. Lee, T. Choi, H. Go, H. Lee, S. Cho, and J. Kim, "Exp-GAN: 3D-Aware Facial Image Generation with Expression Control," ACCV (Oral), 2022.

G. Nam, H. Lee, B. Heo, and J. Lee, "Improving ensemble distillation with weight averaging and diversifying perturbation," ICML, 2022.

J. Kim, J.-T. Lee, S. Chang, and N. Kwak, "Variational On-the-Fly Personalization," ICML, 2022.

C. Kim, C. Han, and H.-M. Park, "UniCon: A Unified Star-Operation to Efficiently Find Connected Components on a Cluster of Commodity Hardware," PLOS ONE, 2022.

D. Lee, J. E. Yoo, K. Cho, B. Kim, G. Im, and J. Noh, "PopStage: The Generation of Stage Cross-Editing Video Based on Spatio-Temporal Matching," ACM Trans. on Graphics (SIGGRAPH Asia), 2022.

E. Ko, K. M. D. Raj, S. Y. Shin, H. Choe, and S.-H. Park, "Underwater Internet of Things: Standardization Strategy," ICTC, pp. 1852-1854, 2022.

G. Jung and S. M. Yoon, "Monocular depth estimation with multi-view attention autoencoder," Multimedia Tools and Applications, April 2022.

H. Mun, G.-J. Yoon, J. Song, and S. M. Yoon, "Texture Preserving Photo Style Transfer Network," IEEE Transactions on Multimedia, August 2022.

J. Han, G. H. Lee, J. Lee, T. Y. Kim, and J. K. Choi, "A Novel Deep-Learning-Based Robust Data Transmission Period Control Framework in IoT Edge Computing System," IEEE Internet Things J., Vol. 9, 2022.

J. Han, G. H. Lee, S. Park, J. Lee, and J. K. Choi, "A Multivariate-Time-Series-Prediction-Based Adaptive Data Transmission Period Control Algorithm for IoT Networks," IEEE Internet Things J., Vol. 9, 2022.

J. Han, G. H. Lee, S. Park, and J. K. Choi, "Joint Subcarrier and Transmission Power Allocation in OFDMA-Based WPT System for Mobile-Edge Computing in IoT Environment," IEEE Internet Things J., Vol. 9, 2022.

K. Yoo, J. Kim, J. Jang, and N. Kwak, "Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation," Findings of ACL, 2022.

S. Baek, G.-J. Yoon, J. Song, and S. M. Yoon, "Self-supervised deep geometric subspace clustering network," Information Sciences, September 2022.

S.-J. Park, D.-K. Chae, H.-K. Bae, S. Park, and S.-W. Kim, "Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation," ACM WSDM, 2022.

S.-M. Lim and S.-W. Jun, "Mobilenets can be lossily compressed: Neural network compression for embedded accelerators," Electronics, 2022.

T. Kim, I. An, and S.-E. Yoon, "Inexpensive Indoor Acoustic Material Estimation for Realistic Sound Propagation," Computer Animation and Virtual Worlds, 2022.

Y. Kim, J. M. Kim, Z. Akata, and J. Lee, "Large Loss Matters in Weakly Supervised Multi-Label Classification," CVPR, 2022.

Y. Yu, S. Lee, "Remote Driving Control with Real-Time Video Streaming over Wireless Networks: Design and Evaluation," IEEE Access, Vol. 10, pp. 64920-64932, 2022.

H. Lee, E. Yun, H. Yang, and J. Lee, "Scale Mixture of Neural Network Gaussian Processes," ICLR, 2022.

M. Kim, K. R. Go, and S.-Y. Yun, "Neural Processes with Stochastic Attention: Paying more attention to the context dataset," ICLR, 2022.

S.-C. Kim and Y.-H. Kim, "Efficient classification of human activity using PCA and deep learning with WiFi CSI," ICAIIC, 2022.

S. Shahhosseini, D. Seo, A. Kanduri, T. Hu, S.S. Lim, B. Donyanavard, A. M. Rahmani, and N. Dutt, "Online learning for orchestration of inference in multi-user end-edge-cloud networks," ACM Trans. on Embedded Computing Systems, Vol. 21, No. 6, 2022.

J. Lee, H. Go, H. Lee, S. Cho, M. Sung, and J. Kim, "CTRL-C: Camera calibration TRansformer with Line-Classification," ICCV, 2021.

D. Kim, J. Hur, and M. Yoon, "Scalable and Multifaceted Search and its Application for Binary Malware Files," IEEE Access, Vol. 9, 2021.

D. R. K. Mary, E. Ko, S.-G. Kim, S.-H. Yum, S. Y. Shin, and S.-H. Park, "A Systematic Review on Recent Trends, Challenges, Privacy and Security Issues of Underwater Internet of Things," Sensors, Vol. 21, 2021.

D. R. K. Mary, E. Ko, S.-Y. Shin, S.-G. Kim, and S.-H. Park, "Underwater Internet of Things: Network and Device Management for Mobile Underwater Acoustic Sensor Networks," WUWNet, 2021.

E. Ko, D. R. K. Mary, S. Y. Shin, S.-G. Kim, and S.-H. Park, "International Standardization for Maritime, Underwater Internet of Things and Digital Twin Applications," WUWNet, 2021.

E. Kwon, S. Han, Y. Park, J. Yoon, and S. Kang, "Reinforcement Learning-based Power Management Policy for Mobile Device Systems," IEEE TCAS-I, 2021.

G. H. Lee, J. Han, and J. K. Choi, "MPdist-based missing data imputation for supporting big data analyses in IoT-based applications," Future Gener. Comput. Syst., Vol. 125, 2021.

H.-K. Bae, H.-O. Kim, W.-Y. Shin, and S.-W. Kim, "How to Get Consensus with Neighbors?: Rating Standardization for Accurate Collaborative Filtering," Knowledge-Based Systems, 2021.

I. An, Y. Kwon, and S.-E. Yoon, "Diffraction- and Reflection-Aware Multiple Sound Source Localization," IEEE Trans. on Robotics, 2021.

J. Hur, H. Jeon, H. Shon, Y. J. Kim, and M. Yoon, "Finding Critical Files from a Packet," IEEE INFOCOM, 2021.

Y. Ko, J.-S. Yu, H.-K. Bae, Y. Park, D. Lee, and S.-W. Kim, "MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems," IEEE ICDM, 2021.

J. E. Yoo, K. Seo, S. Park, J. Kim, D. Lee, and J. Noh, "Virtual Camera Layout Generation using a Reference Video," ACM CHI, 2021.

Y. Kang, E. Kwon, S. Lee, Y. Byun, Y. Lee, and S. Kang, "Approach to Improve the Performance using Bit-level Sparsity in Neural Networks," DATE, 2021.

K. Hwang and S.-C. Kim, "A Study of CNN-Based Human Behavior Recognition with Channel State Information," ICOIN, 2021.

B. Maity, S. Yi, D. Seo, L. Cheng, S.S. Lim, J.C. Kim, B. Donyanavard, and N. Dutt, "Chauffeur: Benchmark suite for design and end-to-end analysis of self-driving vehicles on embedded systems," ACM Trans. on Embedded Computing Systems, Vol. 20, No. 5s, 2021.

J.G. Park, N. Dutt, and S.S. Lim, "An interpretable machine learning model enhanced integrated CPU-GPU DVFS governor," ACM Trans. on Embedded Computing Systems, Vol. 20, No. 6, 2021.

J. Kim, K. Yoo, and N. Kwak, "Position-based Scaled Gradient for Model Quantization and Sparse Training," NeurIPS, 2020.

J. Lee, M. Sung, H. Lee, and J. Kim, "Neural Geometric Parser for Single Image Camera Calibration," ECCV, 2020.

I. Chung, S. Park, J. Kim, and N. Kwak, "Feature-map-level Online Adversarial Knowledge Distillation," ICML, 2020.

H.-M. Park, N. Park, S.-H. Myaeng, and U Kang, "PACC: Large Scale Connected Component Computation on Hadoop and Spark," PLOS ONE, 2020.

I. An, B. Jo, Y. Kwon, J.-W. Choi, and S.-E. Yoon, "Robust Sound Source Localization considering Similarity of Back-Propagation Signals," IEEE ICRA, 2020.

J. Jung, W. Jin, H.-M. Park, and U Kang, "Accurate Relational Reasoning in Edge-labeled Graphs by Multi-Labeled Random Walk with Restart," World Wide Web Journal, 2020.

S. Choi and E. Paek, "MutCombinator: identification of mutated peptides allowing combinatorial mutations using nucleotide-based graph search," Bioinformatics, 2020.

S. Choi, S. Ju, J. Lee, S. Na, C. Lee, and E. Paek, "Proteogenomic approach to UTR peptide identification," Journal of Proteome Research, 2020.

S. Oh, J. Yeom, ..., S. Choi, ..., "Integrated pharmaco-proteogenomics defines two subgroups in isocitrate dehydrogenase wild-type glioblastoma," Nature Communications, 2020.

Y. Joo, D. Seo, D. Shin, and S.-S. Lim, "Enlarging I/O Size for Faster Loading of Mobile Applications," IEEE Embedded Systems Letters, Vol. 12, Issue 2, 2020.

J. Jung, H.-M. Park, and U Kang, "BalanSiNG: Fast and Scalable Generation of Realistic Signed Networks," EDBT, 2020.