[C32] Moonjung Eo, Suhyun Kang, Wonjong Rhee, "LeSS: Learning to Select a Structured architecture over filter pruning and low-rank decomposition", International Conference on Learning Representations Workshop (ICLR Workshop), 2024.

[C31] Jimyeong Kim, Jungwon Park, Wonjong Rhee, "Selectively Informative Description can Reduce Undesired Embedding Entanglements in Text-to-Image Personalization", Computer Vision and Pattern Recognition Conference (CVPR), 2024.

[C30] Suhyun Kang, Duhun Hwang, Moonjung Eo, Taesup Kim, Wonjong Rhee, "Meta-Learning with a Geometry-Adaptive Preconditioner", Computer Vision and Pattern Recognition Conference (CVPR), 2023.

[C29] Jaeill Kim, Suhyun Kang, Duhun Hwang, Jungwook Shin, Wonjong Rhee, “VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution”, Computer Vision and Pattern Recognition Conference (CVPR), 2023.

[C28] Euna Jung, Jungwon Park, Jaekeol Choi, Sungyoon Kim, Wonjong Rhee, "Isotropic Representation Can Improve Dense Retrieval", Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2023.

[C27] Jungwook Shin, Jaeill Kim, Kyungeun Lee, Hyunghun Cho, Wonjong Rhee, “Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion”, Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023. (Oral)

[C26] Duhun Hwang, Eunjung Lee, Wonjong Rhee, “AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense”, ICPR, 2022 (Also in ICML Workshop, 2021).

[C25] Euna Jung, Jaekeol Choi, and Wonjong Rhee. “Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning.” The Web Conference (TheWebConf; previously known as WWW), 2022.

[C24] 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, Eue-Keun Choi, Wonjong Rhee, “Learning ECG Representations for Multi-Label Classification of Cardiac Abnormalities”, CinC, 2021

[C23] Daeyoung Choi, Kyungeun Lee, Duhun Hwang, Wonjong Rhee, “Statistical Characteristics of Deep Representations: An Empirical Investigation”, ICANN, 2021.

[C22] Jaekeol Choi, Euna Jung, Jangwon Suh, Wonjong Rhee, “Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation”, ACM Special Interest Group on Information Retrieval (SIGIR), 2021.

[C21] SoHyun Park, Anja Thieme, Jeongyun Han, Sungwoo Lee, Wonjong Rhee, Bongwon Suh, “I wrote as if I were telling a story to someone I knew.”: Designing Chatbot Interactions for Expressive Writing in Mental Health”, ACM conference on Designing Interactive Systems (DIS), 2021.

[C20] Wonkyung Jung, Daejin Jung, Sunjung Lee, Wonjong Rhee, and Jung Ho Ahn. "Restructuring batch normalization to accelerate CNN training." In The Conference on Systems and Machine Learning (MLSys), 2019, no. CONF. 2019.

[C19] Daeyoung Choi, and Wonjong Rhee. "Utilizing class information for dnn representation shaping." In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 2019.

[C18] Changho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, and Wonjong Rhee. "Subtask gated networks for non-intrusive load monitoring." In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 2019.

[C17] Daeyoung Choi, Hyunghun Cho, and Wonjong Rhee. "On the difficulty of dnn hyperparameter optimization using learning curve prediction." In TENCON 2018-2018 IEEE Region 10 Conference (TENCON), pp. 0651-0656. IEEE, 2018.

[C16] Jeongyun Han, Wonjong Rhee, and Young Hoan Cho. "Real-time detection of low-achieving groups in face-to-face computer-supported collaborative learning." In Proceedings of the 10th International Conference on Education Technology and Computers (ICETC), pp. 44-48. ACM, 2018. (Best Presentation Award)

[C15] Kyungeun Lee, Eunjung Lee, Hyesu Lee, Hyoseop Lee, Yoonjin Yoon, and Wonjong Rhee. "Who Should Participate in DR Program? Modeling with Machine Learning and Credit Scoring." In Behavior Energy and Climate Conference (BECC), 2017.

[C14] Donghun Lee, Woochang Hyun, Jeongwoo Ryu, Woo Jung Lee, Wonjong Rhee, and Bongwon Suh. "An analysis of social features associated with room sales of Airbnb." In Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing (CSCW), pp. 219-222. ACM, 2015.

[C13] Hyunchul Lim, YoonKyong Cho, Wonjong Rhee, and Bongwon Suh. "Vi-bros: Tactile feedback for indoor navigation with a smartphone and a smartwatch." In Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI), pp. 2115-2120. ACM, 2015.

[C12] Taeil Jeon, Jihyun Lee, Wonjong Rhee, and Bongwon Suh. "N-Polar Visualization: Visual Analytics for Exploring Data Objects with Multiple Interactive Anchors." In Proceedings of the 2015 19th International Conference on Information Visualisation (VIS), pp. 419-423. IEEE Computer Society, 2015.

[C11] Ming-Yang Chen. Wonjong Rhee, Mehdi Mohseni and John M. Cioffi, “Practical Crosstalk Management for Upstream VDSL Using Dynamic Power Control,” in IEEE Globecom Conference, December 2011 

[C10]  J. M. Cioffi, S. Jagannathan, W. Lee, H. Zou, A. Chowdhery, W. Rhee, G. Ginis, and P. Silverman, “Green Copper with Dynamic Spectrum Management,” in AccessNets, Las Vegas, NV, USA, Oct. 2008. (Invited Talk and Paper)

[C9] J. M. Cioffi, W. Rhee, M. Mohseni, and M. H. Brady, “Band Preference in Dynamic Spectrum Management,” in Eurasip Conference on Signal Processing, Sep. 2004.

[C8] Sriram Vishwanath, Wonjong Rhee, Nihar Jindar, Syed Jafar and Andrea Goldsmith, “Sum Power Iterative Waterfilling for Vector Broadcast Channels,” IEEE International Symposium on Information Theory (ISIT), 2003.

[C7] Wonjong Rhee and John M. Cioffi, “Ergodic Capacity of Multi-Antenna Gaussian Multiple Access Channels,” 35th Asilomar Conference on Signals, Systems and Computers, November 2001.

[C6] Wonjong Rhee and John M. Cioffi, “On the Asymptotic Optimality of Beam-forming in Multi-antenna Gaussian Multiple Access Channels,” IEEE Globecom Conference, November 2001.

[C5] Wei Yu, Wonjong Rhee and John Cioffi, “Optimal Power Control in Multiple Access Fading Channels with Multiple Antennas,” IEEE International Conference on Communications, (ICC), 2001.

[C4] Wei Yu, Wonjong Rhee, Stephen Boyd and John Cioffi, “Iterative Water-filling for Gaussian Vector Multiple Access Channels,” IEEE International Symposium on Information Theory (ISIT), 2001.

[C3] Wonjong Rhee, Wei Yu and John M. Cioffi, “Utilizing Multiuser Diversity for Multiple Antenna Systems,” IEEE Wireless Communications and Networking Conference (WCNC) 2000.

[C2] Wonjong Rhee and John M. Cioffi, “Increase in Capacity of Multiuser OFDM System Using Dynamic Subchannel Allocation,” IEEE Vehicular Technology Conference (VTC) 2000.

[C1] Wonjong Rhee, Justin Chuang and Leonard Cimini, Jr. “Performance Comparison of OFDM and Multitone with Polyphase Filter Bank for Wireless Communications,” IEEE Vehicular Technology Conference (VTC) 1998.

[arXiv]  Jangwon Suh, Jimyeong Kim, Euna Jung, Wonjong Rhee, “Evaluating Feature Attribution Methods for Electrocardiogram.“, arXiv preprint arXiv:2211.12702, 2022.

[arXiv] Hyunghun Cho, Jungwook Shin, and Wonjong Rhee, “B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search.” arXiv preprint arXiv:2202.03005, 2022.

[J28] Soonil Kwon, Eunjung Lee, Hojin Ju, Hyo-Jeong Ahn, So-Ryoung Lee, Eue-Keun Choi, Jangwon Suh, Seil Oh, Wonjong Rhee. "Machine Learning Prediction for the Recurrence After Electrical Cardioversion of Patients With Persistent Atrial Fibrillation.", Korean Circ J. 2023 Jul;53:e55.

[J27] Duhun Hwang, Eunjung Lee, Wonjong Rhee. "AID-purifier: A light auxiliary network for boosting adversarial defense Author links open overlay panel.", Neurocomputing, Volume 541, 2023, 126251.

[J26] Moonjung Eo, Jeongyun Han, Wonjong Rhee. "Deep Learning Framework with Essential Pre-processing Techniques for Improving Mixed-gas Concentration Prediction.", IEEE Access, 2023

[J25] Moonjung Eo, Suhyun Kang, Wonjong Rhee, “An effective low-rank compression with a joint rank selection followed by a compression-friendly training.”, Neural Networks, 2023

[J24] Kyungeun Lee, Wonjong Rhee, "DDP-GCN: Multi-Graph Convolutional Network for Spatiotemporal Traffic Forecasting." Transportation Research Part C: Emerging Technologies, 134, (2022): 103466

[J23] Kyungeun Lee, Moonjung Eo, Euna Jung, Yoonjin Yoon, Wonjong Rhee, "Short-term traffic prediction with deep neural networks: A survey." IEEE Access 9 (2021): 54739-54756.

[J22] Eunjung Lee, Wonjong Rhee, "Individualized short-term electric load forecasting with deep neural network based transfer learning and meta learning." IEEE Access 9 (2021): 15413-15425.

[J21] Won Shin, Jeongyun Han, and Wonjong Rhee. "AI-Assistance for Predictive Maintenance of Renewable Energy Systems." Energy (2021): 119775.

[J20] Jeongyun Han, Kwan Hoon Kim, Wonjong Rhee, and Young Hoan Cho. "Learning Analytics Dashboard for Adaptive Support in Face-to-Face Collaborative Argumentation." Computers & Education, (2020) p.104041.

[J19] Hyunghun Cho, Yongjin Kim, Eunjung Lee, Daeyoung Choi, Yongjae Lee, and Wonjong Rhee. "Basic Enhancement Strategies When Using Bayesian Optimization for Hyperparameter Tuning of Deep Neural Networks." IEEE Access 8 (2020): 52588-52608.

[J18] Jeongyun Han, Sun Young Huh, Young Hoan Cho, SoHyun Park, Jinhan Choi, Bongwon Suh, and Wonjong Rhee. "Utilizing online learning data to design face-to-face activities in a flipped classroom: A case study of heterogeneous group formation." Educational Technology Research & Development, no 68. (2020): 2055-2071.

[J17] Changho Shin, Eunjung Lee, Jeongyun Han, Jaeryun Yim, Wonjong Rhee, and Hyoseop Lee. "The ENERTALK dataset, 15 Hz electricity consumption data from 22 houses in Korea." Nature Scientific Data 6, no. 1 (2019): 1-13. 

[J16] Eunjung Lee, Kyungeun Lee, Hyoseop Lee, Euncheol Kim, and Wonjong Rhee. "Defining virtual control group to improve customer baseline load calculation of residential demand response." Applied Energy 250 (2019): 946-958.

[J15] Changho Shin, Seungeun Rho, Hyoseop Lee, and Wonjong Rhee. "Data Requirements for Applying Machine Learning to Energy Disaggregation." Energies 12, no. 9 (2019): 1696.

[J14] Seyun Kim, Wonjong Rhee, Daeyoung Choi, Young Jae Jang, and Yoonjin Yoon. "Characterizing Driver Stress Using Physiological and Operational Data from Real-World Electric Vehicle Driving Experiment." International Journal of Automotive Technology 19, no. 5 (2018): 895-906.

[J13] Kyungeun Lee, Hyesu Lee, Hyoseop Lee, Yoonjin Yoon, Eunjung Lee, and Wonjong Rhee. "Assuring explainability on demand response targeting via credit scoring," Energy, Oct. 2018.

[J12] Daeyoung Choi, Won Shin, Kyungnam Ko, and Wonjong Rhee. "Static and Dynamic Yaw Misalignments of Wind Turbines and Machine Learning Based Correction Methods Using LiDAR Data," IEEE Transactions on Sustainable Energy, April 2019.

[J11] Jeongyun Han, Eunjung Lee, Hyunghun Cho, Yoonjin Yoon, Hyoseop Lee, and Wonjong Rhee. "Improving the Energy Saving Process with High-Resolution Data: A Case Study in a University Building," Sensors, May 2018.

[J10] Daejin Jung, Sunjung Lee, Wonjong Rhee, and Jung Ho Ahn. "Partitioning Compute Units in CNN Acceleration for Statistical Memory Traffic Shaping," IEEE Computer Architecture Letters, Jan. 2018.

[J9] Seungwook Kim, Daeyoung Choi, Eunjung Lee, and Wonjong Rhee. "Churn prediction of mobile and online casual games using play log data," PloS One, July 2017.

[J8] Oh Hoon Kwon, Wonjong Rhee, and Yoonjin Yoon. "Application of classification algorithms for analysis of road safety risk factor dependencies," Accident Analysis & Prevention, Feb. 2015.

[J7] Ming-Yang Chen, Wonjong Rhee, Mehdi Mohseni and John M. Cioffi, “Distributed Crosstalk Management for Upstream VDSL Using Dynamic Power Control,” IEEE Transactions on Communications, Feb. 2012. 

[J6] Wonjong Rhee and Giorgio Taricco, “On the Ergodic Capacity-Achieving Covariance Matrix of Certain Classes of MIMO Channels,” IEEE Transactions on Information Theory, Aug. 2006.

[J5] Wei Yu and Wonjong Rhee: "Degrees of Freedom in Multi-user Spatial Multiplex Systems with Multiple Antennas", IEEE Transactions on Communications, October 2006.

[J4] Nihar Jindar, Wonjong Rhee, Sriram Vishwanath, Syed Jafar and Andrea Goldsmith, “Sum Power Iterative Waterfilling for Vector Broadcast Channels,” IEEE Transactions on Information Theory, April 2005.

[J3] Wei Yu, Wonjong Rhee, Stephen Boyd, and John M. Cioffi, “Iterative Water-filling for Gaussian Vector Multiple Access Channels,” IEEE Transactions on Information Theory, Jan. 2004.

[J2] Wonjong Rhee, Wei Yu and John M. Cioffi, “The Optimality of Beam-forming in Uplink Multiuser Wireless Systems,” IEEE Transactions on Wireless Communications, Jan. 2004.

[J1] Wonjong Rhee and John M. Cioffi, “On the Capacity of Multiuser Wireless Channels with Multiple Antennas,” special issue on MIMO, IEEE Transactions on Information Theory, Oct. 2003.

• 정은아, 이경은, 김화영, 정소라, 이효섭, 서봉원, 이원종, “확장된 기술수용모델을 이용한 가정용 에너지 수요반응 프로그램 실증분석”, 한국HCI학회논문지, 2017.

• 이은정, 이경은, 이혜수, 이효섭, 김은철, 이원종, “소규모 전력 소비자 대상 수요자원 거래시장의 필요성 및 시범운영 결과 분석”, 한국통신학회논문지, 2017.

US patents, granted – 64 inventions.

US patents, pending – 56 inventions.

2023 2nd:

• Recent Topics in Artificial Intelligence (AI대학원; 최신인공지능기술)

• Research projects

2022 1st:

• Recent Topics in Artificial Intelligence (AI대학원; 최신인공지능기술)

• Advanced Research Project in Data Science

2021 2nd:

• Neural Networks (Based on Deep Learning book; in-depth reading/discussion)

2021 1st:

• Recent Topics in Artificial Intelligence (AI대학원; 최신인공지능기술)

• Advanced Research Topics in Data Analysis for Information Studies(Information Theory and Deep Learning)

• Creative Fusion Project (자유전공학부; 창의융합프로젝트)

2020 2nd:

• Neural Networks (Based on Deep Learning book; in-depth reading/discussion)

• Convex Optimization (Based on Prof. Boyd’s Class (EE364a@Stanford))

2020 1st:

• Machine Learning (Based on ISLR and PRML)

• Deep Learning Research

2019 2nd:

• Neural Networks (Based on Deep Learning book; in-depth reading/discussion)

• Reinforcement Learning (Based on RL book by Sutton and Barto; in-depth reading/discussion)

2019 1st:

• Advanced Machine Learning (Based on PRML book; in-depth reading/discussion)

• Field Applications of Convergence Knowledge

2018 2nd:

• Neural Networks (Based on Deep Learning book; in-depth reading/discussion)

• Data Science Project

2018 1st:

• Machine Learning (Based on Prof. Hastie & Prof. Tibshirani’s Class (Statistical Learning@Stanford))

• Advanced Neural Networks – Convex Optimization,  Information Theory, and Neural Networks

2017 2nd:

• Neural Networks (Based on Deep Learning book; selective use of Prof. Hinton’s Coursera course)

2017 1st:

• Machine Learning (Based on Prof. Hastie & Prof. Tibshirani’s Class (Statistical Learning@Stanford))

• Advanced Neural Networks (HPO, VQA, RL, GAN, Transfer learning)

• Field Applications of Convergence Knowledge

2016 2nd:

• Neural Networks (Based on Prof. Hinton’s Coursera course and Deep Learning book)

• Advanced Research Projects in Data Science

2016 1st:

• Machine Learning (Based on Prof. Hastie & Prof. Tibshirani’s Class (Statistical Learning@Stanford))

• Introduction to Data Analysis (Data Science: a variety of techniques and topics in recent data science)

2015 2nd:

• Convex Optimization (Based on Prof. Boyd’s Class (EE364a@Stanford))

• Field Applications of Convergence Knowledge

2015 1st:

• Machine Learning (Based on Prof. Hastie & Prof. Tibshirani’s Class (Statistical Learning@Stanford))

• Advanced Data Analysis – Practice & Project

2014 2nd:

• Introduction to Data Analysis (Data Science)

• Entrepreneurial Mindset

• Interdisciplinary Project Design