• 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 94 matches

• 2023
• 
  Daeyong Kim, Junick Ahn, Hakjun Lee, Hojung Cha:
  Highly Responsive Batteryless System for Indoor Light Energy Harvesting Environments. PERCOM 2023: 111-120
• 2022
• 
  Hojung Lee, Jaehui Hwang, Hwin Dol Park, Jaehun Choi, Jong-Seok Lee:
  Classifying Gas Data Measured Under Multiple Conditions Using Deep Learning. IEEE Access 10: 68138-68150 (2022)
• 
  Hyunho Kim, Minsu Park, Ingoo Lee, Hojung Nam:
  BayeshERG: a robust, reliable and interpretable deep learning model for predicting hERG channel blockers. Briefings Bioinform. 23(4) (2022)
• 
  Hyowoon Seo, Hojung Lee, Kyungrak Son, Wan Choi:
  Private and Fresh Real-Time Status Updating. IEEE Commun. Lett. 26(2): 239-243 (2022)
• 
  Hojung Lee, Hyowoon Seo, Wan Choi:
  Fast and Scalable Distributed Consensus Over Wireless Large-Scale Internet of Things Network. IEEE Internet Things J. 9(11): 7916-7930 (2022)
• 
  Ingoo Lee, Hojung Nam:
  Sequence-based prediction of protein binding regions and drug-target interactions. J. Cheminformatics 14(1): 5 (2022)
• 
  Hojung Lee, Cho-Jui Hsieh, Jong-Seok Lee:
  Local Critic Training for Model-Parallel Learning of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4424-4436 (2022)
• 
  Hojung Lee, Jong-Seok Lee:
  Rethinking Online Knowledge Distillation with Multi-exits. ACCV (6) 2022: 408-424
• 
  Ingoo Lee, Hojung Nam:
  Infusing Linguistic Knowledge of SMILES into Chemical Language Models. CoRR abs/2205.00084 (2022)
• 2021
• 
  Hyowoon Seo, Hojung Lee, Wan Choi:
  Fundamental Limits of Private Information Retrieval With Unknown Cache Prefetching. IEEE Trans. Commun. 69(12): 8132-8144 (2021)
• 
  Hojung Lee, Cho-Jui Hsieh, Jong-Seok Lee:
  Local Critic Training for Model-Parallel Learning of Deep Neural Networks. CoRR abs/2102.01963 (2021)
• 
  Hojung Lee, Jong-Seok Lee:
  Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits. CoRR abs/2104.00299 (2021)
• 2019
• 
  Seokjun Lee, Minyoung Go, Rhan Ha, Hojung Cha:
  Provisioning of energy consumption information for mobile ads. Pervasive Mob. Comput. 53: 49-61 (2019)
• 
  Ingoo Lee, Jongsoo Keum, Hojung Nam:
  DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences. PLoS Comput. Biol. 15(6) (2019)
• 
  Seokjun Lee, Rhan Ha, Hojung Cha:
  Click Sequence Prediction in Android Mobile Applications. IEEE Trans. Hum. Mach. Syst. 49(3): 278-289 (2019)
• 
  Hojung Kim, Yongkyu Kim, Hyunwook Ji, Hyunsik Park, Jungkwuen An, Hoon Song, Yun Tae Kim, Hong-Seok Lee, Kichul Kim:
  A Single-Chip FPGA Holographic Video Processor. IEEE Trans. Ind. Electron. 66(3): 2066-2073 (2019)
• 
  Gwangmin Lee, Seokjun Lee, Geonju Kim, Yonghun Choi, Rhan Ha, Hojung Cha:
  Improving Energy Efficiency of Android Devices by Preventing Redundant Frame Generation. IEEE Trans. Mob. Comput. 18(4): 871-884 (2019)
• 
  Lohith Ravuru, Hyungtak Choi, Siddarth K. M., Hojung Lee, Inchul Hwang:
  Paraphrase Generation Based on VAE and Pointer-Generator Networks. ASRU 2019: 860-866
• 
  Hojung Lee, Jong-Seok Lee:
  Local Critic Training of Deep Neural Networks. IJCNN 2019: 1-8
• 
  Hyungtak Choi, Lohith Ravuru, Tomasz Dryjanski, Sunghan Rye, Donghyun Lee, Hojung Lee, Inchul Hwang:
  VAE-PGN based Abstractive Model in Multi-stage Architecture for Text Summarization. INLG 2019: 510-515
• 
  Daeyong Kim, Seunghyeok Jeon, Seokjun Lee, Hojung Cha:
  Always-On Quick Charging for Mobile Devices. PerCom 2019: 1-10
• 
  HyeongYeop Kang, Geonsun Lee, Dae Seok Kang, Ohung Kwon, Jun Yeup Cho, Ho-Jung Choi, JunaHvun Han:
  Jumping Further: Forward Jumps in a Gravity-reduced Immersive Virtual Environment. VR 2019: 699-707
• 2018
• 
  Sunyong Yoo, Suhyun Ha, Moonshik Shin, Kyungrin Noh, Hojung Nam, Doheon Lee:
  A Data-Driven Approach for Identifying Medicinal Combinations of Natural Products. IEEE Access 6: 58106-58118 (2018)
• 
  Ingoo Lee, Hojung Nam:
  Identification of drug-target interaction by a random walk with restart method on an interactome network. BMC Bioinform. 19-S(8): 9-18 (2018)
• 
  Moonshik Shin, Donjin Jang, Hojung Nam, Kwang Hyung Lee, Doheon Lee:
  Predicting the Absorption Potential of Chemical Compounds Through a Deep Learning Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 432-440 (2018)
• 
  Jihoon Park, Seokjun Lee, Hojung Cha:
  Accurate prediction of smartphones' skin temperature by considering exothermic components. DATE 2018: 1500-1503
• 
  Dong-Ok Won, Byung-Do Kim, Ho-Jung Kim, Tae-San Eom, Klaus-Robert Müller, Seong-Whan Lee:
  Curly: An AI-based Curling Robot Successfully Competing in the Olympic Discipline of Curling. IJCAI 2018: 5883-5885
• 
  Jihoon Park, Seokjun Lee, Hojung Cha:
  App-Oriented Thermal Management of Mobile Devices. ISLPED 2018: 36:1-36:6
• 
  Hojung Lee, Jong-Seok Lee:
  Local Critic Training for Model-Parallel Learning of Deep Neural Networks. CoRR abs/1805.01128 (2018)
• 
  Ingoo Lee, Jongsoo Keum, Hojung Nam:
  DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences. CoRR abs/1811.02114 (2018)

skipping 64 more matches