• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 59 matches

• 2024
• 
  Jiansong Wan, Kanghoon Lee, Hayong Shin:
  Traffic pattern-aware elevator dispatching via deep reinforcement learning. Adv. Eng. Informatics 61: 102497 (2024)
• 2023
• 
  Namyong Kim, Stéphane R. A. Barde, Kiwook Bae, Hayong Shin:
  Learning per-machine linear dispatching rule for heterogeneous multi-machines control. Int. J. Prod. Res. 61(1): 162-182 (2023)
• 2022
• 
  Jiansong Wan, Hayong Shin:
  Predictive vehicle dispatching method for overhead hoist transport systems in semiconductor fabs. Int. J. Prod. Res. 60(10): 3063-3077 (2022)
• 
  Stéphane R. A. Barde, Young Myoung Ko, Hayong Shin:
  General EM algorithm for fitting non-monotone hazard functions from truncated and censored observations. Oper. Res. Lett. 50(5): 476-483 (2022)
• 
  Heechang Ryu, Hayong Shin, Jinkyoo Park:
  REMAX: Relational Representation for Multi-Agent Exploration. AAMAS 2022: 1137-1145
• 2021
• 
  Jihwan Jeong, Hayong Shin:
  Bayesian optimization for a multiple-component system with target values. Comput. Ind. Eng. 157: 107310 (2021)
• 
  Heechang Ryu, Hayong Shin, Jinkyoo Park:
  Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning. AAMAS 2021: 1091-1099
• 
  Heechang Ryu, Hayong Shin, Jinkyoo Park:
  Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning. CoRR abs/2101.06890 (2021)
• 2020
• 
  Stéphane R. A. Barde, Young Myoung Ko, Hayong Shin:
  Fitting discrete phase-type distribution from censored and truncated observations with pre-specified hazard sequence. Oper. Res. Lett. 48(3): 233-239 (2020)
• 
  Heechang Ryu, Hayong Shin, Jinkyoo Park:
  Multi-Agent Actor-Critic with Hierarchical Graph Attention Network. AAAI 2020: 7236-7243
• 
  Heechang Ryu, Hayong Shin, Jinkyoo Park:
  REMAX: Relational Representation for Multi-Agent Exploration. CoRR abs/2008.05214 (2020)
• 2019
• 
  Donghyun Kim, Namyong Kim, Junoh Cho, Hayong Shin:
  Optimizing the Multistage University Admission Decision Process. INFORMS J. Appl. Anal. 49(6): 422-429 (2019)
• 
  Stéphane R. A. Barde, Soumaya Yacout, Hayong Shin:
  Optimal preventive maintenance policy based on reinforcement learning of a fleet of military trucks. J. Intell. Manuf. 30(1): 147-161 (2019)
• 
  Wonjun Lee, Byung-Hee Kim, Keyhoon Ko, Hayong Shin:
  Simulation Based Multi-Objective Fab Scheduling by Using Reinforcement Learning. WSC 2019: 2236-2247
• 
  Heechang Ryu, Hayong Shin, Jinkyoo Park:
  Multi-Agent Actor-Critic with Hierarchical Graph Attention Network. CoRR abs/1909.12557 (2019)
• 
  Kiwook Bae, Heechang Ryu, Hayong Shin:
  Does Adam optimizer keep close to the optimal point? CoRR abs/1911.00289 (2019)
• 2018
• 
  Heechang Ryu, Hayong Shin, Jinkyoo Park:
  Multi-Agent Actor-Critic with Generative Cooperative Policy Network. CoRR abs/1810.09206 (2018)
• 2017
• 
  Donghyun Kim, Hyungil Moon, Donghyun Park, Hayong Shin:
  An efficient approximate solution for stochastic Lanchester models. J. Oper. Res. Soc. 68(11): 1470-1481 (2017)
• 
  Sungho Jeon, Jong-Woo Shin, Young-Jun Lee, Woong-Hee Kim, YoungHyoun Kwon, Hae-Yong Yang:
  Empirical study of drone sound detection in real-life environment with deep neural networks. EUSIPCO 2017: 1858-1862
• 
  Donghyun Kim, Hayong Shin:
  An Explanatory Matrix Factorization with User Comments Data. RecSys Posters 2017
• 
  HaeYong Shin, GeunJae Lee, Woo-Jong Ryu, SangKeun Lee:
  Utilizing Wikipedia knowledge in open directory project-based text classification. SAC 2017: 309-314
• 
  Namyong Kim, Hayong Shin:
  The application of actor-critic reinforcement learning for fab dispatching scheduling. WSC 2017: 4570-4571
• 
  Sungho Jeon, Jong-Woo Shin, Young-Jun Lee, Woong-Hee Kim, YoungHyoun Kwon, Hae-Yong Yang:
  Empirical Study of Drone Sound Detection in Real-Life Environment with Deep Neural Networks. CoRR abs/1701.05779 (2017)
• 2016
• 
  Hyungil Moon, Geonhwan Ju, Seyoun Park, Hayong Shin:
  3D freehand ultrasound reconstruction using a piecewise smooth Markov random field. Comput. Vis. Image Underst. 151: 101-113 (2016)
• 
  HaeYong Shin, Byung-Gul Ryu, Woo-Jong Ryu, GeunJae Lee, SangKeun Lee:
  Bringing bag-of-phrases to ODP-based text classification. BigComp 2016: 485-488
• 
  Heechang Ryu, Jinkyoo Park, Hayong Shin:
  Classification of Heart Sound Recordings Using Convolution Neural Network. CinC 2016
• 
  Stéphane R. A. Barde, Hayong Shin, Soumaya Yacout:
  Opportunistic preventive maintenance strategy of a multi-component system with hierarchical structure by simulation and evaluation. ETFA 2016: 1-8
• 
  HaeYong Shin, HyeonTaek Oh, Woo-Jong Ryu, SangKeun Lee:
  sigAlbum: an embedded photo service using a tiny text intelligence. UbiComp Adjunct 2016: 373-376
• 
  Wonjun Lee, Kyohong Shin, Hyun-Rok Lee, Hayong Shin, Taesik Lee:
  A structured approach for constructing high fidelity ED simulation. WSC 2016: 1950-1960
• 2015
• 
  Won-Hyung Jung, Seyoun Park, Hayong Shin:
  Combining volumetric dental CT and optical scan data for teeth modeling. Comput. Aided Des. 67-68: 24-37 (2015)

skipping 29 more matches