Conferences/arXiv

  • Kyungeun Lee, Moonjung Eo, Euna Jung, Yoonjin Yoon, Wonjong Rhee, “Short-term Traffic Prediction with Deep Neural Networks: A Survey”, arXiv, 2020.
  • Jaekeol Choi, Jungin Choi, Wonjong Rhee, “Interpreting Neural Ranking Models using Grad-CAM”, arXiv, 2020.
  • Kyungeun Lee, Wonjong Rhee, “DDP-GCN: Multi-Graph Convolutional Network for Spatiotemporal Traffic Forecasting”, arXiv, 2020.
  • Hyunghun Cho, Yongjin Kim, Eunjung Lee, Daeyoung Choi, Yongjae Lee, Wonjong Rhee, “DEEP-BO for Hyperparameter Optimization of Deep Networks”, arXiv, 2019.
  • Wonkyung Jung , Daejin Jung , Byeongho Kim, Sunjung Lee, Wonjong Rhee,  Jung Ho Ahn, “Restructuring Batch Normalization to Accelerate CNN Training”, SysML Conference (SysML19), Stanford CA, 2019. (Acceptance rate: 16.9%)
  • Daeyoung Choi, Wonjong Rhee, “Utilizing Class Information for DNN Representation Shaping”, Thirty-Third AAAI Conference on Artificial Intelligence (AAAI19), 2019. (Acceptance rate: 16.2%; student travel grant)
  • Changho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, Wonjong Rhee, “Subtask Gated Networks for Non-Intrusive Load Monitoring”, Thirty-Third AAAI Conference on Artificial Intelligence (AAAI19), 2019. (Acceptance rate: 16.2%)
  • Daeyoung Choi, Kyungeun Lee, Changho Shin, Wonjong Rhee, “On the Statistical and Information-theoretic Characteristics of Deep Network Representations”, arXiv, 2018.
  • Daeyoung Choi, Hyunghun Cho, Wonjong Rhee, “On the Difficulty of DNN Hyperparameter Optimization Using Learning Curve Prediction”, IEEE TENCON, 2018.
  • Jeongyun Han, Wonjong Rhee, Young Hoan Cho, “Real-Time Detection of Low-Achieving Groups in Face-to-Face Computer-Supported Collaborative Learning”, 10th International Conference on Education Technology and Computers (ICETC2018, Best Presentation), 2018.
  • Kyungeun Lee, Eunjung Lee, Hyesu Lee, Hyoseop Lee, Yoonjin Yoon, Wonjong Rhee, “Who Should Participate in DR Program? Modeling with Machine Learning and Credit Scoring”, Behavior Energy and Climate Conference (BECC2017), 2017.
  • Mohseni, Mehdi, Wonjong Rhee, and Georgios Ginis. “A Downstream Crosstalk Channel Estimation Method for Mix of Legacy and Vectoring-Enabled VDSL.” arXiv preprint arXiv:1702.06011(2017).
  • Lee, Donghun, Woochang Hyun, Jeongwoo Ryu, Woo Jung Lee, Wonjong Rhee, and Bongwon Suh, “An analysis of social features associated with room sales of Airbnb.” Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing (CSCW2015). ACM, 2015.
  • Lim, Hyunchul, 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 (CHI2015), pp. 2115-2120. ACM, 2015.
  • Jeon, Taeil, Jihyun Lee, Wonjong Rhee, and Bongwon Suh. “N-Polar Visualization: Visual Analytics for Exploring Data Objects with Multiple Interactive Anchors.” In 2015 19th International Conference on Information Visualisation (iV2015), pp. 419-423. IEEE, 2015.
  • Chen, Ming-Yang, Wonjong Rhee, Mehdi Mohseni, and John M. Cioffi. “Practical crosstalk management for upstream VDSL using dynamic power control.” In Global Telecommunications Conference (GLOBECOM2011), 2011 IEEE, pp. 1-5. IEEE, 2011.
  • Cioffi, John, Sumanth Jagannathan, Wooyul Lee, Hao Zou, Aakanksha Chowdhery, Wonjong Rhee, George Ginis, and Peter Silverman. “Greener copper with dynamic spectrum management.” In International Conference on Access Networks, pp. 62-77. Springer, Berlin, Heidelberg, 2008.
  • Cioffi, John M., Wonjong Rhee, Mehdi Mohseni, and Mark H. Brady. “Band preference in dynamic spectrum management.” In Signal Processing Conference, 2004 12th European, pp. 1205-1208. IEEE, 2004.
  • Rhee, Wonjong, and John M. Cioffi. “Ergodic capacity of multi-antenna Gaussian multiple-access channels.” Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on. Vol. 1. IEEE, 2001.
  • Yu, Wei, Wonjong Rhee, and John M. Cioffi. “Optimal power control in multiple access fading channels with multiple antennas.” ICC2001. 2001.
  • Rhee, Wonjong, Wei Yu, and John M. Cioffi. “Utilizing multiuser diversity for multiple antenna systems.” Wireless Communications and Networking Confernce, 2000. WCNC2000. 2000 IEEE. Vol. 1. IEEE, 2000.
  • Rhee, Wonjong, and John M. Cioffi. “Increase in capacity of multiuser OFDM system using dynamic subchannel allocation.” Vehicular Technology Conference Proceedings, 2000. VTC 2000-Spring Tokyo. IEEE 51st. Vol. 2. IEEE, 2000. (google citation count: 1468 in Dec. 2018)
  • Rhee, Wonjong, Justin C. Chuang, and L. J. Cimini. “Performance comparison of OFDM and multitone with polyphase filter bank for wireless communications.” Vehicular Technology Conference, 1998. VTC98. 48th IEEE. Vol. 2. IEEE, 1998.

Journals

Journals (Korean)

  • 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

US patents, granted – 45 inventions.
US patents, pending – 56 inventions.

List of granted:
1               9,941,928                                Systems, methods, and apparatuses for implementing a DSL system
2               9,900,228                                Method and system for connectivity diagnostics in communications systems
3               9,847,944                                Systems and methods for traffic load balancing on multiple WAN backhauls and multiple distinct LAN networks
4               9,819,595                                Systems and methods for traffic aggregation on multiple WAN backhauls and multiple distinct LAN networks
5               9,780,956                                Apparatus, systems and methods for DSM energy management
6               9,398,146                                System for diagnosing and optimizing vectored DSL lines
7               9,391,744                                Method and apparatus for analyzing and mitigating noise in a digital subscriber line
8               9,369,370                                Systems and methods for jointly optimizing WAN and LAN network communications
9               9,203,724                                DSL system
10             9,178,777                                User-preference-based DSL system
11             9,106,735                                Detection of wiring defects
12             9,071,534                                DSL system estimation
13             9,060,054                                System for diagnosing and optimizing vectored DSL lines
14             8,972,549                                User-preference-based DSL system
15             8,948,026                                User-preference-based DSL system
16             8,761,348                                DSL system training
17             8,483,369                                DSL system
18             8,428,225                                Method and apparatus for analyzing and mitigating noise in a digital subscriber line
19             8,310,914                                Phantom use in DSL system
20             8,073,135                                Binder identification
21             8,045,629                                DSL data collection system
22             8,031,761                                Adaptive margin and band control
23             8,009,665                                DSL system
24             7,991,122                                DSL system training
25             7,924,736                                DSL system estimation
26             7,881,438                                Self-learning and self-adjusting DSL system
27             7,852,952                                DSL system loading and ordering
28             7,830,955                                Adaptive margin and band control
29             7,817,745                                Tonal precoding
30             7,813,420                                Adaptive GDFE
31             7,809,116                                 DSL system estimation including known DSL line scanning and bad splice detection capability
32             7,773,497                                Phantom use in DSL systems
33             7,711,530                                 DSL system estimation and parameter recommendation
34             7,684,546                                DSL system estimation and control
35             7,606,350                                Incentive-based DSL system
36             7,558,315                                Adaptive margin and band control in digital subscriber line (DSL) systems
37             7,535,966                                DSL data collection system
38             7,460,588                                Digital subscriber line (DSL) state and line profile control
39             7,349,963                                System for DSL modem type identification
40             7,302,379                                DSL system estimation and parameter recommendation

Classes Taught @SNU:

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