Wonjong Rhee

Orcid: 0000-0002-2590-8774

According to our database1, Wonjong Rhee authored at least 63 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2012, "For leadership in dynamic spectrum management systems".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Towards a rigorous analysis of mutual information in contrastive learning.
Neural Networks, 2024

Towards a Better Evaluation of Out-of-Domain Generalization.
CoRR, 2024

An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM.
CoRR, 2024

Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness.
CoRR, 2024

Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization.
CoRR, 2024

On-Off Pattern Encoding and Path-Count Encoding as Deep Neural Network Representations.
CoRR, 2024

Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing.
CoRR, 2024

Visual interpretation of deep learning model in ECG classification: A comprehensive evaluation of feature attribution methods.
Comput. Biol. Medicine, 2024

Unveiling Key Aspects of Fine-Tuning in Sentence Embeddings: A Representation Rank Analysis.
IEEE Access, 2024

Selectively Informative Description can Reduce Undesired Embedding Entanglements in Text-to-Image Personalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
AID-purifier: A light auxiliary network for boosting adversarial defense.
Neurocomputing, July, 2023

An effective low-rank compression with a joint rank selection followed by a compression-friendly training.
Neural Networks, April, 2023

A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression.
CoRR, 2023

DR.CPO: Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion.
CoRR, 2023

Deep Learning Framework With Essential Pre-Processing Techniques for Improving Mixed-Gas Concentration Prediction.
IEEE Access, 2023

Isotropic Representation Can Improve Dense Retrieval.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Elastic Deformable Augmentation for Autonomous Driving.
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

Enhancing Fine-Tuning in Low Data Regime by Increasing Representation Entropy During Pre-Training Phase.
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Meta-Learning with a Geometry-Adaptive Preconditioner.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Evaluating Feature Attribution Methods for Electrocardiogram.
CoRR, 2022

Finding Inverse Document Frequency Information in BERT.
CoRR, 2022

B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search.
CoRR, 2022

Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021
A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank.
CoRR, 2021

Learning analytics dashboards for adaptive support in face-to-face collaborative argumentation.
Comput. Educ., 2021

Individualized Short-Term Electric Load Forecasting With Deep Neural Network Based Transfer Learning and Meta Learning.
IEEE Access, 2021

Short-Term Traffic Prediction With Deep Neural Networks: A Survey.
IEEE Access, 2021

Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Statistical Characteristics of Deep Representations: An Empirical Investigation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Learning ECG Representations for Multi-Label Classification of Cardiac Abnormalities.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

"I wrote as if I were telling a story to someone I knew.": Designing Chatbot Interactions for Expressive Writing in Mental Health.
Proceedings of the DIS '21: Designing Interactive Systems Conference 2021, 2021

2020
Interpreting Neural Ranking Models using Grad-CAM.
CoRR, 2020

Basic Enhancement Strategies When Using Bayesian Optimization for Hyperparameter Tuning of Deep Neural Networks.
IEEE Access, 2020

2019
Graph Convolutional Modules for Traffic Forecasting.
CoRR, 2019

DEEP-BO for Hyperparameter Optimization of Deep Networks.
CoRR, 2019

Restructuring Batch Normalization to Accelerate CNN Training.
Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

Subtask Gated Networks for Non-Intrusive Load Monitoring.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Utilizing Class Information for Deep Network Representation Shaping.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Improving the Energy Saving Process with High-Resolution Data: A Case Study in a University Building.
Sensors, 2018

On the Statistical and Information-theoretic Characteristics of Deep Network Representations.
CoRR, 2018

Utilizing Class Information for DNN Representation Shaping.
CoRR, 2018

Partitioning Compute Units in CNN Acceleration for Statistical Memory Traffic Shaping.
IEEE Comput. Archit. Lett., 2018

On the Difficulty of DNN Hyperparameter Optimization Using Learning Curve Prediction.
Proceedings of the TENCON 2018, 2018

Real-time detection of low-achieving groups in face-to-face computer-supported collaborative learning.
Proceedings of the 10th International Conference on Education Technology and Computers, 2018

2017
A Downstream Crosstalk Channel Estimation Method for Mix of Legacy and Vectoring-Enabled VDSL.
CoRR, 2017

2016
Convergence Science and Technology at Seoul National University.
Proceedings of the Handbook of Science and Technology Convergence, 2016

2015
N-Polar Visualization: Visual Analytics for Exploring Data Objects with Multiple Interactive Anchors.
Proceedings of the 19th International Conference on Information Visualisation, 2015

An Analysis of Social Features Associated with Room Sales of Airbnb.
Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015

Vi-Bros: Tactile Feedback for Indoor Navigation with a Smartphone and a Smartwatch.
Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015

2012
Distributed Crosstalk Management for Upstream VDSL Using Dynamic Power Control.
IEEE Trans. Commun., 2012

2011
Practical Crosstalk Management for Upstream VDSL Using Dynamic Power Control.
Proceedings of the Global Communications Conference, 2011

2008
Greener Copper with Dynamic Spectrum Management.
Proceedings of the AccessNets, Third International Conference on Access Networks, 2008

2006
On the Ergodic Capacity-Achieving Covariance Matrix of Certain Classes of MIMO Channels.
IEEE Trans. Inf. Theory, 2006

2005
Sum power iterative water-filling for multi-antenna Gaussian broadcast channels.
IEEE Trans. Inf. Theory, 2005

2004
The optimality of beamforming in uplink multiuser wireless systems.
IEEE Trans. Wirel. Commun., 2004

Iterative water-filling for Gaussian vector multiple-access channels.
IEEE Trans. Inf. Theory, 2004

Band preference in dynamic spectrum management.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
On the capacity of multiuser wireless channels with multiple antennas.
IEEE Trans. Inf. Theory, 2003

2001
Optimal power control in multiple access fading channels with multiple antennas.
Proceedings of the IEEE International Conference on Communications, 2001

On the asymptotic optimality of beam-forming in multi-antenna Gaussian multiple access channels.
Proceedings of the Global Telecommunications Conference, 2001

2000
Utilizing multiuser diversity for multiple antenna systems.
Proceedings of the 2000 IEEE Wireless Communications and Networking Conference, 2000


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