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Dae Hoon Park
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Journal Articles
- 2020
- [j4]Suthee Chaidaroon, Dae Hoon Park, Yi Chang
, Yi Fang:
node2hash: Graph aware deep semantic text hashing. Inf. Process. Manag. 57(6): 102143 (2020) - 2017
- [j3]Mengwen Liu, Wanying Ding, Dae Hoon Park, Yi Fang, Rui Yan, Xiaohua Hu:
Which used product is more sellable? A time-aware approach. Inf. Retr. J. 20(2): 81-108 (2017) - [j2]Mengwen Liu, Yi Fang, Alexander G. Choulos, Dae Hoon Park, Xiaohua Hu:
Product review summarization through question retrieval and diversification. Inf. Retr. J. 20(6): 575-605 (2017) - 2007
- [j1]Youn Tae Kim, Dae Hoon Park, Sungshin Kim:
Movement Pattern Recognition of Medaka for an Insecticide: A Comparison of Decision Tree and Neural Network. Int. J. Fuzzy Log. Intell. Syst. 7(1): 58-65 (2007)
Conference and Workshop Papers
- 2023
- [c12]Cong Xu, Yuhang Li, Dae Lee, Dae Hoon Park, Hongda Mao, Huyen Do, Jonathan Chung, Dinesh Nair:
Augmentation Robust Self-Supervised Learning for Human Activity Recognition. ICASSP 2023: 1-5 - 2019
- [c11]Dae Hoon Park, Yi Chang
:
Adversarial Sampling and Training for Semi-Supervised Information Retrieval. WWW 2019: 1443-1453 - 2017
- [c10]Dae Hoon Park, Rikio Chiba:
A Neural Language Model for Query Auto-Completion. SIGIR 2017: 1189-1192 - [c9]Shubhra Kanti Karmaker Santu, Liangda Li, Dae Hoon Park, Yi Chang
, ChengXiang Zhai:
Modeling the Influence of Popular Trending Events on User Search Behavior. WWW (Companion Volume) 2017: 535-544 - 2016
- [c8]Dae Hoon Park, Yi Fang, Mengwen Liu, ChengXiang Zhai:
Mobile App Retrieval for Social Media Users via Inference of Implicit Intent in Social Media Text. CIKM 2016: 959-968 - [c7]Mengwen Liu, Yi Fang, Dae Hoon Park, Xiaohua Hu, Zhengtao Yu:
Retrieving Non-Redundant Questions to Summarize a Product Review. SIGIR 2016: 385-394 - 2015
- [c6]Wanying Ding, Yue Shang, Dae Hoon Park, Lifan Guo, Xiaohua Hu:
ProbitUCB: A Novel Method for Review Ranking. PAKDD Workshops 2015: 3-15 - [c5]Dae Hoon Park, ChengXiang Zhai, Lifan Guo:
SpecLDA: Modeling Product Reviews and Specifications to Generate Augmented Specifications. SDM 2015: 837-845 - [c4]Dae Hoon Park, Hyun Duk Kim, ChengXiang Zhai, Lifan Guo:
Retrieval of Relevant Opinion Sentences for New Products. SIGIR 2015: 393-402 - [c3]Dae Hoon Park, Mengwen Liu, ChengXiang Zhai, Haohong Wang:
Leveraging User Reviews to Improve Accuracy for Mobile App Retrieval. SIGIR 2015: 533-542 - 2012
- [c2]Hyun Duk Kim, Dae Hoon Park, Yue Lu, ChengXiang Zhai:
Enriching text representation with frequent pattern mining for probabilistic topic modeling. ASIST 2012: 1-10 - 2011
- [c1]Wei Peng, Dae Hoon Park:
Generate Adjective Sentiment Dictionary for Social Media Sentiment Analysis Using Constrained Nonnegative Matrix Factorization. ICWSM 2011
Editorship
- 2018
- [e1]Yuen-Hsien Tseng, Tetsuya Sakai, Jing Jiang, Lun-Wei Ku, Dae Hoon Park, Jui-Feng Yeh, Liang-Chih Yu, Lung-Hao Lee, Zhi-Hong Chen:
Information Retrieval Technology - 14th Asia Information Retrieval Societies Conference, AIRS 2018, Taipei, Taiwan, November 28-30, 2018, Proceedings. Lecture Notes in Computer Science 11292, Springer 2018, ISBN 978-3-030-03519-8 [contents]
Informal and Other Publications
- 2024
- [i7]Nathan C. L. Kong, Dae Lee, Huyen Do, Dae Hoon Park, Cong Xu, Hongda Mao, Jonathan Chung:
f-GAN: A frequency-domain-constrained generative adversarial network for PPG to ECG synthesis. CoRR abs/2406.16896 (2024) - 2019
- [i6]Huaqing Zhang, Xiaolin Cheng, Hui Zang, Dae Hoon Park:
Compiler-Level Matrix Multiplication Optimization for Deep Learning. CoRR abs/1909.10616 (2019) - 2018
- [i5]Kai Xu, Dae Hoon Park, Chang Yi, Charles Sutton:
Interpreting Deep Classifier by Visual Distillation of Dark Knowledge. CoRR abs/1803.04042 (2018) - [i4]Chiu Man Ho, Dae Hoon Park, Wei Yang, Yi Chang:
Sequenced-Replacement Sampling for Deep Learning. CoRR abs/1810.08322 (2018) - [i3]Dae Hoon Park, Yi Chang:
Adversarial Sampling and Training for Semi-Supervised Information Retrieval. CoRR abs/1811.04155 (2018) - [i2]Dae Hoon Park, Chiu Man Ho, Yi Chang, Huaqing Zhang:
Gradient-Coherent Strong Regularization for Deep Neural Networks. CoRR abs/1811.08056 (2018) - 2008
- [i1]Hyun Duk Kim, Dae Hoon Park, V. G. Vinod Vydiswaran, ChengXiang Zhai:
Opinion Summarization Using Entity Features and Probabilistic Sentence Coherence Optimization: UIUC at TAC 2008 Opinion Summarization Pilot. TAC 2008
Coauthor Index
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