Utilizing multiuser diversity for multiple antenna systems. - Wonjong Rhee; Wei Yu 001; John M. Cioffi (WCNC, 2000)

On the asymptotic optimality of beam-forming in multi-antenna Gaussian multiple access channels. - Wonjong Rhee; John M. Cioffi (GLOBECOM, 2001)

Optimal power control in multiple access fading channels with multiple antennas. - Wei Yu 001; Wonjong Rhee; John M. Cioffi (ICC, 2001)

On the capacity of multiuser wireless channels with multiple antennas. - Wonjong Rhee; John M. Cioffi (IEEE Trans. Inf. Theory, 2003)

Band preference in dynamic spectrum management. - John M. Cioffi; Wonjong Rhee; Mehdi Mohseni; Mark H. Brady (EUSIPCO, 2004)

Iterative water-filling for Gaussian vector multiple-access channels. - Wei Yu 001; Wonjong Rhee; Stephen P. Boyd; John M. Cioffi (IEEE Trans. Inf. Theory, 2004)

The optimality of beamforming in uplink multiuser wireless systems. - Wonjong Rhee; Wei Yu 001; John M. Cioffi (IEEE Trans. Wirel. Commun., 2004)

Sum power iterative water-filling for multi-antenna Gaussian broadcast channels. - Nihar Jindal; Wonjong Rhee; Sriram Vishwanath; Syed Ali Jafar; Andrea J. Goldsmith (IEEE Trans. Inf. Theory, 2005)

On the Ergodic Capacity-Achieving Covariance Matrix of Certain Classes of MIMO Channels. - Wonjong Rhee; Giorgio Taricco (IEEE Trans. Inf. Theory, 2006)

Greener Copper with Dynamic Spectrum Management. - John M. Cioffi; Sumanth Jagannathan; Wooyul Lee; Hao Zou; Aakanksha Chowdhery; Wonjong Rhee; George Ginis; Peter Silverman (AccessNets, 2008)

Practical Crosstalk Management for Upstream VDSL Using Dynamic Power Control. - Ming-Yang Chen; Wonjong Rhee; Mehdi Mohseni; John M. Cioffi (GLOBECOM, 2011)

Distributed Crosstalk Management for Upstream VDSL Using Dynamic Power Control. - Ming-Yang Chen; Wonjong Rhee; Mehdi Mohseni; John M. Cioffi (IEEE Trans. Commun., 2012)

Vi-Bros: Tactile Feedback for Indoor Navigation with a Smartphone and a Smartwatch. - Hyunchul Lim; YoonKyong Cho; Wonjong Rhee; Bongwon Suh (CHI Extended Abstracts, 2015)

An Analysis of Social Features Associated with Room Sales of Airbnb. - Donghun Lee; Woochang Hyun; Jeongwoo Ryu; Woo Jung Lee; Wonjong Rhee; Bongwon Suh (CSCW Companion, 2015)

N-Polar Visualization: Visual Analytics for Exploring Data Objects with Multiple Interactive Anchors. - Taeil Jeon; Jihyun Lee; Wonjong Rhee; Bongwon Suh (IV, 2015)

Convergence Science and Technology at Seoul National University. - Y. Eugene Pak; Wonjong Rhee (Handbook of Science and Technology Convergence, 2016)

A Downstream Crosstalk Channel Estimation Method for Mix of Legacy and Vectoring-Enabled VDSL. - Mehdi Mohseni; Wonjong Rhee; Georgios Ginis (CoRR, 2017)

Real-time detection of low-achieving groups in face-to-face computer-supported collaborative learning. - Jeongyun Han; Wonjong Rhee; Young Hoan Cho (ICETC, 2018)

On the Difficulty of DNN Hyperparameter Optimization Using Learning Curve Prediction. - Daeyoung Choi; Hyunghun Cho; Wonjong Rhee (TENCON, 2018)

Partitioning Compute Units in CNN Acceleration for Statistical Memory Traffic Shaping. - Daejin Jung; Sunjung Lee; Wonjong Rhee; Jung Ho Ahn (IEEE Comput. Archit. Lett., 2018)

Utilizing Class Information for DNN Representation Shaping. - Daeyoung Choi; Wonjong Rhee (CoRR, 2018)

On the Statistical and Information-theoretic Characteristics of Deep Network Representations. - Daeyoung Choi; Kyungeun Lee; Changho Shin; Wonjong Rhee (CoRR, 2018)

Improving the Energy Saving Process with High-Resolution Data: A Case Study in a University Building. - Jeongyun Han; Eunjung Lee; Hyunghun Cho; Yoonjin Yoon; Hyoseop Lee; Wonjong Rhee (Sensors, 2018)

Utilizing Class Information for Deep Network Representation Shaping. - Daeyoung Choi; Wonjong Rhee (AAAI, 2019)

Subtask Gated Networks for Non-Intrusive Load Monitoring. - Changho Shin; Sunghwan Joo; Jaeryun Yim; Hyoseop Lee; Taesup Moon; Wonjong Rhee (AAAI, 2019)

Restructuring Batch Normalization to Accelerate CNN Training. - Wonkyung Jung; Daejin Jung; Byeongho Kim; Sunjung Lee; Wonjong Rhee; Jung Ho Ahn (SysML, 2019)

DEEP-BO for Hyperparameter Optimization of Deep Networks. - Hyunghun Cho; Yongjin Kim; Eunjung Lee; Daeyoung Choi; Yongjae Lee; Wonjong Rhee (CoRR, 2019)

Graph Convolutional Modules for Traffic Forecasting. - Kyungeun Lee; Wonjong Rhee (CoRR, 2019)

Basic Enhancement Strategies When Using Bayesian Optimization for Hyperparameter Tuning of Deep Neural Networks. - Hyunghun Cho; Yongjin Kim; Eunjung Lee; Daeyoung Choi; Yongjae Lee; Wonjong Rhee (IEEE Access, 2020)

Interpreting Neural Ranking Models using Grad-CAM. - Jaekeol Choi; Jungin Choi; Wonjong Rhee (CoRR, 2020)

"I wrote as if I were telling a story to someone I knew.": Designing Chatbot Interactions for Expressive Writing in Mental Health. - SoHyun Park; Anja Thieme; Jeongyun Han; Sungwoo Lee; Wonjong Rhee; Bongwon Suh (Conference on Designing Interactive Systems, 2021)

Learning ECG Representations for Multi-Label Classification of Cardiac Abnormalities. - Jangwon Suh; Jimyeong Kim; Eunjung Lee; Jaeill Kim; Duhun Hwang; Jungwon Park; Junghoon Lee; JaeSeung Park; Seo-Yoon Moon; Yeonsu Kim; Min Kang; Soonil Kwon; et al. (CinC, 2021)

Statistical Characteristics of Deep Representations: An Empirical Investigation. - Daeyoung Choi; Kyungeun Lee; Duhun Hwang; Wonjong Rhee (ICANN (5), 2021)

Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation. - Jaekeol Choi; Euna Jung; Jangwon Suh; Wonjong Rhee (SIGIR, 2021)

Short-Term Traffic Prediction With Deep Neural Networks: A Survey. - Kyungeun Lee; Moonjung Eo; Euna Jung; Yoonjin Yoon; Wonjong Rhee (IEEE Access, 2021)

Individualized Short-Term Electric Load Forecasting With Deep Neural Network Based Transfer Learning and Meta Learning. - Eunjung Lee; Wonjong Rhee (IEEE Access, 2021)

Learning analytics dashboards for adaptive support in face-to-face collaborative argumentation. - Jeongyun Han; Kwang-Hoon Kim; Wonjong Rhee; Young Hoan Cho (Comput. Educ., 2021)

A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank. - Moonjung Eo; Suhyun Kang; Wonjong Rhee (CoRR, 2021)

Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning. - Euna Jung; Jaekeol Choi; Wonjong Rhee (WWW, 2022)

B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search. - Hyunghun Cho; Jungwook Shin; Wonjong Rhee (CoRR, 2022)

Finding Inverse Document Frequency Information in BERT. - Jaekeol Choi; Euna Jung; Sungjun Lim; Wonjong Rhee (CoRR, 2022)

Evaluating Feature Attribution Methods for Electrocardiogram. - Jangwon Suh; Jimyeong Kim; Euna Jung; Wonjong Rhee (CoRR, 2022)

Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion. - Jungwook Shin; Jaeill Kim; Kyungeun Lee; Hyunghun Cho; Wonjong Rhee (AAAI, 2023)

Meta-Learning with a Geometry-Adaptive Preconditioner. - Suhyun Kang; Duhun Hwang; Moonjung Eo; Taesup Kim; Wonjong Rhee (CVPR, 2023)

VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution. - Jaeill Kim; Suhyun Kang; Duhun Hwang; Jungwook Shin; Wonjong Rhee (CVPR, 2023)

Enhancing Fine-Tuning in Low Data Regime by Increasing Representation Entropy During Pre-Training Phase. - Jaeill Kim; Jungwook Shin; Wonjong Rhee (ICTC, 2023)

Elastic Deformable Augmentation for Autonomous Driving. - Jungwook Shin; Jaeill Kim; Wonjong Rhee (ICTC, 2023)

Isotropic Representation Can Improve Dense Retrieval. - Euna Jung; Jungwon Park; Jaekeol Choi; Sungyoon Kim; Wonjong Rhee (PAKDD (3), 2023)

Deep Learning Framework With Essential Pre-Processing Techniques for Improving Mixed-Gas Concentration Prediction. - Moonjung Eo; Jeongyun Han; Wonjong Rhee (IEEE Access, 2023)

DR.CPO: Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion. - Jungwook Shin; Jaeill Kim; Kyungeun Lee; Hyunghun Cho; Wonjong Rhee (CoRR, 2023)

A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression. - Moonjung Eo; Suhyun Kang; Wonjong Rhee (CoRR, 2023)

An effective low-rank compression with a joint rank selection followed by a compression-friendly training. - Moonjung Eo; Suhyun Kang; Wonjong Rhee (Neural Networks, 2023)

AID-purifier: A light auxiliary network for boosting adversarial defense. - Duhun Hwang; Eunjung Lee; Wonjong Rhee (Neurocomputing, 2023)

Selectively Informative Description can Reduce Undesired Embedding Entanglements in Text-to-Image Personalization. - Jimyeong Kim; Jungwon Park; Wonjong Rhee (CVPR, 2024)

A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets. - Kyungeun Lee; Wonjong Rhee (NeurIPS, 2024)

Unveiling Key Aspects of Fine-Tuning in Sentence Embeddings: A Representation Rank Analysis. - Euna Jung; Jaeill Kim; Jungmin Ko; Jinwoo Park; Wonjong Rhee (IEEE Access, 2024)

An Image Grid Can Be Worth a Video: Zero-Shot Video Question Answering Using a VLM. - Wonkyun Kim; Changin Choi; Wonseok Lee; Wonjong Rhee (IEEE Access, 2024)

Visual interpretation of deep learning model in ECG classification: A comprehensive evaluation of feature attribution methods. - Jangwon Suh; Jimyeong Kim; Soonil Kwon; Euna Jung; Hyo-Jeong Ahn; Kyung-Yeon Lee; Eue-Keun Choi; Wonjong Rhee (Comput. Biol. Medicine, 2024)

Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing. - Jaeill Kim; Duhun Hwang; Eunjung Lee; Jangwon Suh; Jimyeong Kim; Wonjong Rhee (CoRR, 2024)

On-Off Pattern Encoding and Path-Count Encoding as Deep Neural Network Representations. - Euna Jung; Jaekeol Choi; EungGu Yun; Wonjong Rhee (CoRR, 2024)

Towards a rigorous analysis of mutual information in contrastive learning. - Kyungeun Lee; Jaeill Kim; Suhyun Kang; Wonjong Rhee (Neural Networks, 2024)

Task-Specific Preconditioner for Cross-Domain Few-Shot Learning. - Suhyun Kang; Jungwon Park; Wonseok Lee; Wonjong Rhee (AAAI, 2025)

Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization. - Yeji Song; Jimyeong Kim; Wonhark Park; Wonsik Shin; Wonjong Rhee; Nojun Kwak (AAAI, 2025)

Cross-Attention Head Position Patterns Can Align with Human Visual Concepts in Text-to-Image Generative Models. - Jungwon Park; Jungmin Ko; Dongnam Byun; Jangwon Suh; Wonjong Rhee (ICLR, 2025)

Towards a better evaluation of out-of-domain generalization. - Duhun Hwang; Suhyun Kang; Moonjung Eo; Jimyeong Kim; Wonjong Rhee (Neural Networks, 2025)

Improving forward compatibility in class incremental learning by increasing representation rank and feature richness. - Jaeill Kim; Wonseok Lee; Moonjung Eo; Wonjong Rhee (Neural Networks, 2025)

ReFlex: Text-Guided Editing of Real Images in Rectified Flow via Mid-Step Feature Extraction and Attention Adaptation. - Jimyeong Kim; Jungwon Park; Yeji Song; Nojun Kwak; Wonjong Rhee (CoRR, 2025)

Soft Injection of Task Embeddings Outperforms Prompt-Based In-Context Learning. - Jungwon Park; Wonjong Rhee (CoRR, 2025)