M.IN.D. Lab @ SKKU

Preprints

  1. 3D densely convolution networks for volumetric segmentation
    Toan Duc Bui, Jitae Shin and Taesup Moon
    A short paper for iSeg-2017 Workshop (MICCAI Grand Challenge on 6-month infant brain MRI Segmentation)

  2. Uniform concentration of the loss estimator for Neural DUDE
    Taesup Moon*
    arXiv:1709.03657

  3. Neural adaptive image denoiser
    Sungmin Cha and Taesup Moon*
    Submitted (arXiv:1709.05672)

  4. Supervised Neural DUDE for adaptive discrete denoising
    Sungmin Cha, Seonwoo Min, Byunghan Lee, Sungron Yoon, and Taesup Moon*
    Submitted

(* denotes corresponding author)

2017

  1. [J11] DUDE-Seq: Fast, flexible, and robust denoising for targeted amplicon sequencing
    Byunghan Lee, Taesup Moon*, Sungroh Yoon* and Tsachy Weissman
    PLoS ONE (doi.org/10.1371/journal.pone.0181463), July 2017

2016

  1. [J10] Micro-Doppler based classification of human aquatic activities via transfer learning of convolutional neural networks
    Jinhee Park, Rios Jesus Javier, Taesup Moon*, and Youngwook Kim
    Sensors, 2016,16,1990, November 2016

  2. [C12] Neural universal discrete denoiser (supplementary)
    Taesup Moon*, Seonwoo Min, Byunghan Lee, and Sungroh Yoon
    Proceedings of Neural Information Processing Systems (NIPS), December 2016

  3. [C11] Classification of human activity on water through micro-Dopplers using deep convolutional neural networks
    Youngwook Kim and Taesup Moon*
    Proceedings of SPIE 9829, Radar Sensor Technology XX, 982917, May 2016

  4. [J9] Regularization and kernelization of the maximin correlation approach
    Taehoon Lee, Taesup Moon, Seung Jean Kim, and Sungroh Yoon*
    IEEE Access, vol. 4, pp. 1385-1392, April 2016

  5. [J8] Human detection and activity classification based on micro-Dopplers using deep convolutional neural networks (3rd most downloaded paper (Aug 2016, July 2016) in IEEE GRSL)
    Youngwook Kim and Taesup Moon*
    IEEE Geoscience and Remote Sensing Letters, vol.13, no.1, pp.8-12, January 2016

2015

  1. [C10] RNNDrop: A novel dropout for RNNs in ASR
    Taesup Moon*, Heeyoul Choi, Hoshik Lee, and Inchul Song
    Proceedings of 2015 IEEE Automatic Speech Recognition and Understanding (ASRU) Workshop, December 2015

  2. [J7] Evaluation of a MISR-based high-resolution aerosol retrieval method using AERONET DRAGON campaign data
    Taesup Moon*, Yueqing Wang, Yang Liu, and Bin Yu
    IEEE Transactions on Geoscience and Remote Sensing, vol.53, no.8, pp.4328-4339, August 2015

Before 2015

  1. [J6] Exploiting user preference for online learning in recommender systems
    Jiang Bian, Bo Long, Lihong Li, Taesup Moon, Anlei Dong, and Yi Chang
    ACM Transactions on Intelligent Systems and Technology, vol.5, no.2, April 2014

  2. [J5] An online learning framework for refining recency search results with user click feedback
    Taesup Moon, Lihong Li, Wei Chu, Zhaohui Zheng, and Yi Chang
    ACM Transactions on Information Systems, vol. 30, no.4, 20:1-20:28, November 2012

  3. [J4] Universal switching FIR filtering
    Taesup Moon
    IEEE Transactions on Signal Processing, vol.60, no.3, pp.1460-1464, March 2012

  4. [C9] An unbiased offline evaluation of contextual bandit algorithms with generalized linear models
    Lihong Li, Wei Chu, John Langford, Taesup Moon, Xuanhui Wang
    Journal of Machine Learning Research - Workshop and Conference Proceedings 26: On-line Trading of Exploration and Exploitation 2, pp.19-36, May 2012

  5. [C8] Discrete denoising of heterogeneous two-dimensional data
    Taesup Moon, Tsachy Weissman, and Jae-Young Kim
    Proceedings of 2011 IEEE International Symposium on Information Theory (ISIT), pp.966–970, St. Petersburg, Russia, August 2011

  6. [C7] Learning to model relatedness for news recommendation
    Yuanhua Lv, Taesup Moon, Pranam Kolari, Zhaohui Zheng, Xuanhui Wang, and Yi Chang
    Proceedings of the 20th International World Wide Web (WWW) Conference, pp.57-66, Hyderabad, India, March 2011

  7. [C6] User behavior driven ranking without editorial judgments
    Taesup Moon, Shihao Ji, Georges Dupret, Ciya Liao, and Zhaohui Zheng
    Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM) (short paper), pp.1473–1476, Toronto, Canada, October 2010

  8. [C5] Online learning for recency search ranking using real-time user feedback
    Taesup Moon, Lihong Li, Wei Chu, Zhaohui Zheng, and Yi Chang
    Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM) (short paper), pp.1501–1504, Toronto, Canada, October 2010

  9. [C4] IntervalRank - Isotonic regression with listwise and pairwise constraints
    Taesup Moon, Alex Smola, Yi Chang, and Zhaohui Zheng
    Proceedings of the 3rd ACM International Conference on Web Search and Data Mining (WSDM), pp.151–159, New York, NY, February 2010

  10. [J3] Discrete denoising with shifts
    Taesup Moon and Tsachy Weissman
    IEEE Transactions on Information Theory, vol. 55, no.11, pp.5284–5301, November 2009

  11. [J2] Universal FIR MMSE filtering
    Taesup Moon and Tsachy Weissman
    IEEE Transactions on Signal Processing, vol.57, no.3, pp.1068-1083, March 2009

  12. [J1] Universal filtering via hidden Markov modeling
    Taesup Moon and Tsachy Weissman
    IEEE Transactions on Information Theory, vol.54, no.2, pp.692–708, February 2008

  13. [C3] Discrete denoising with shifts
    Taesup Moon and Tsachy Weissman
    Proceedings of the 45th Annual Allerton Conference on Communication, Control, and Computation, Monticello, Illinois, September 2007

  14. [C2] Competitive on-line linear FIR MMSE filtering
    Taesup Moon and Tsachy Weissman
    Proceedings of 2007 IEEE International Symposium on Information Theory (ISIT), pp.1126–1130, Nice, France, June 2007

  15. [C1] Discrete universal filtering via hidden Markov modeling
    Taesup Moon and Tsachy Weissman
    Proceedings of 2005 IEEE International Symposium on Information Theory (ISIT), pp.1285–1289, Adelaide, Australia, September 2005

Patents and Defensive Publications

  1. Neural network training method and apparatus, and data processing apparatus
    Taesup Moon, Yeha Lee, and Heeyoul Choi
    US Patent Application 20160026913 A1, Jan 2016

  2. Related news articles
    Taesup Moon, Pranam Kolari, Zhoahui Zheng, Xuanhui Wang, Yi Chang, and Yuanhua Lv
    US Patent US8713028 B2, April 2014

  3. A method of using a pairwise learning model in an online recommendation system
    Jiang Bian, Bo Long, Lihong Li, Taesup Moon, Anlei Dong, and Yi Chang
    IP.com Prior Art Database Disclosure, Disclosure Number IPCOM000216302D, March 2012

  4. Method and system of online learning for recency search ranking using real-time user feedback
    Taesup Moon, Wei Chu, Lihong Li, Zhaohui Zheng, and Yi Chang
    IP.com Prior Art Database Disclosure, Disclosure Number IPCOM000203007D, January 2011

Thesis