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Jue Hou
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2020 – today
- 2024
- [j13]Tingzhe Pan, Jue Hou, Xin Jin, Zhenfan Yu, Wei Zhou, Zhijun Wang:
Distributed Control of Hydrogen-Based Microgrids for the Demand Side: A Multiagent Self-Triggered MPC-Based Strategy. Algorithms 17(6): 251 (2024) - [j12]Isabelle-Emmanuella Nogues, Jun Wen, Yihan Zhao, Clara-Lea Bonzel, Victor M. Castro, Yucong Lin, Shike Xu, Jue Hou, Tianxi Cai:
Semi-supervised Double Deep Learning Temporal Risk Prediction (SeDDLeR) with Electronic Health Records. J. Biomed. Informatics 157: 104685 (2024) - [j11]Priyam Das, Deborshee Sen, Debsurya De, Jue Hou, Zahra Shakeri Hossein Abad, Nicole Kim, Zongqi Xia, Tianxi Cai:
Clustering Sequence Data with Mixture Markov Chains with Covariates Using Multiple Simplex Constrained Optimization Routine (MSiCOR). J. Comput. Graph. Stat. 33(2): 379-392 (2024) - [j10]Jue Hou, Yinwen Lu, Mingjie Wang, Wenbing Ouyang, Yang Yang, Fengyuan Zou, Bingfei Gu, Zheng Liu:
A Markov Chain approach for video-based virtual try-on with denoising diffusion generative adversarial network. Knowl. Based Syst. 300: 112233 (2024) - [j9]Jun Wen, Jue Hou, Clara-Lea Bonzel, Yihan Zhao, Victor M. Castro, Vivian S. Gainer, Dana Weisenfeld, Tianrun Cai, Yuk-Lam Ho, Vidul Ayakulangara Panickan, Lauren Costa, Chuan Hong, J. Michael Gaziano, Katherine P. Liao, Junwei Lu, Kelly Cho, Tianxi Cai:
LATTE: Label-efficient incident phenotyping from longitudinal electronic health records. Patterns 5(1): 100906 (2024) - [c21]Jue Hou, Anisia Katinskaia, Lari Kotilainen, Sathianpong Trangcasanchai, Anh-Duc Vu, Roman Yangarber:
What Do Transformers Know about Government? LREC/COLING 2024: 17459-17472 - [i5]Jue Hou, Anisia Katinskaia, Lari Kotilainen, Sathianpong Trangcasanchai, Anh-Duc Vu, Roman Yangarber:
What do Transformers Know about Government? CoRR abs/2404.14270 (2024) - [i4]Jue Hou, Anisia Katinskaia, Anh-Duc Vu, Roman Yangarber:
Implicit assessment of language learning during practice as accurate as explicit testing. CoRR abs/2409.16133 (2024) - 2023
- [j8]Jue Hou, Zijian Guo, Tianxi Cai:
Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction. J. Mach. Learn. Res. 24: 265:1-265:58 (2023) - [j7]Yinwen Lu, Bingfei Gu, Wenbing Ouyang, Zheng Liu, Fengyuan Zou, Jue Hou:
LSG-GAN: Latent space guided generative adversarial network for person pose transfer. Knowl. Based Syst. 278: 110852 (2023) - [c20]Xinlei Cai, Jiale Liu, Zhijun Wang, Jue Hou:
Index system and method of power grid risk assessment with participation of adjustable source and load resources. ACAI 2023: 63-73 - [c19]Anisia Katinskaia, Jue Hou, Anh-Duc Vu, Roman Yangarber:
Linguistic Constructs Represent the Domain Model in Intelligent Language Tutoring. EACL (System Demonstrations) 2023: 136-144 - [c18]Jacob M. Carroll, Meredith Reed Smoot, Courtney C. Bauer, Jue Hou, Steven M. Wright:
Low-cost MRI System for Teaching. EMBC 2023: 1-4 - [c17]Jue Hou, Courtney C. Bauer, Chenhao Sun, Ben Malone, Jay Griffin, Steven M. Wright:
A Four-Channel Broadband MRI Receive Array Coil. EMBC 2023: 1-4 - [c16]Benjamin Malone, Jacob Ruff, Jue Hou, Courtney Bauer, Steven M. Wright:
A Novel Voltage Controlled Decoupling Method for Transmit Coils in MRI. EMBC 2023: 1-5 - [c15]Jue Hou, Anisia Katinskaia, Anh-Duc Vu, Roman Yangarber:
Effects of sub-word segmentation on performance of transformer language models. EMNLP 2023: 7413-7425 - [i3]Jun Wen, Jue Hou, Clara-Lea Bonzel, Yihan Zhao, Victor M. Castro, Vivian S. Gainer, Dana Weisenfeld, Tianrun Cai, Yuk-Lam Ho, Vidul Ayakulangara Panickan, Lauren Costa, Chuan Hong, J. Michael Gaziano, Katherine P. Liao, Junwei Lu, Kelly Cho, Tianxi Cai:
LATTE: Label-efficient Incident Phenotyping from Longitudinal Electronic Health Records. CoRR abs/2305.11407 (2023) - 2022
- [j6]Yingzi Wang, Ce Yu, Jue Hou, Sisi Chu, Yongjia Zhang, Yue Zhu:
ARIMA Model and Few-Shot Learning for Vehicle Speed Time Series Analysis and Prediction. Comput. Intell. Neurosci. 2022: 2526821:1-2526821:9 (2022) - [c14]Anisia Katinskaia, Maria Lebedeva, Jue Hou, Roman Yangarber:
Semi-automatically Annotated Learner Corpus for Russian. LREC 2022: 832-839 - [i2]Yucong Lin, Jinhua Su, Yuhang Li, Yuhao Wei, Hanchao Yan, Saining Zhang, Jiaan Luo, Danni Ai, Hong Song, Jingfan Fan, Tianyu Fu, Deqiang Xiao, Feifei Wang, Jue Hou, Jian Yang:
High-Resolution Boundary Detection for Medical Image Segmentation with Piece-Wise Two-Sample T-Test Augmented Loss. CoRR abs/2211.02419 (2022) - [i1]Anisia Katinskaia, Jue Hou, Anh-Duc Vu, Roman Yangarber:
Linguistic Constructs as the Representation of the Domain Model in an Intelligent Language Tutoring System. CoRR abs/2212.01711 (2022) - 2021
- [j5]Jue Hou, Dongwei Yao, Feng Wu, Junhao Shen, Xiangyun Chao:
Online Vehicle Velocity Prediction Using an Adaptive Radial Basis Function Neural Network. IEEE Trans. Veh. Technol. 70(4): 3113-3122 (2021) - [c13]Yingzi Wang, Xiangyi Fang, Jue Hou, Lei Wang:
Python-based License Plate Number Recognition Technology. AIAM (ACM) 2021: 488-491 - 2020
- [j4]Jue Hou, Wenbin Ouyang, Bugao Xu, Rongwu Wang:
Convolutional Neural Network for Extracting 3D Point Clouds of Fibrous Web From Multi-Focus Images. IEEE Access 8: 87857-87869 (2020) - [c12]Xianglei Zhu, Yingzi Wang, Jue Hou:
Innovative Application Paths of Big Data of Automobile Based on Internet of Vehicles. ATCI 2020: 442-447 - [c11]Jue Hou, Rongwu Wang, Xing Zhang:
Asymmetric U-shape Network for Contour Detection on Nonwoven Images. CSSE 2020: 71-76
2010 – 2019
- 2019
- [j3]Wenbin Ouyang, Bugao Xu, Jue Hou, Xiaohui Yuan:
Fabric Defect Detection Using Activation Layer Embedded Convolutional Neural Network. IEEE Access 7: 70130-70140 (2019) - [j2]Jue Hou, Shaorong Wang, Shuwei Zhang, Qian She, Yuxin Zhu, Chengjing Li:
Design and Application of a CT-Based High-Reliability Energy Harvesting Circuit for Monitoring Sensors in Power System. IEEE Access 7: 149039-149051 (2019) - [j1]Elliot T. Panek, Wyatt Harrison, Jue Hou:
Change by default: Exploring the effects of a sudden influx of newcomers on the discourse of r/TwoXChromosomes. First Monday 24(10) (2019) - [c10]Jue Hou, Koppatz Maximilian, José María Hoya Quecedo, Nataliya Stoyanova, Roman Yangarber:
Modeling language learning using specialized Elo rating. BEA@ACL 2019: 494-506 - [c9]Yingzi Wang, Xiangyi Fang, Jue Hou:
Application and Practice of Deep Learning Platform in Automobile Field. CSIA 2019: 1337-1341 - [c8]Jue Hou, Koppatz Maximilian, José María Hoya Quecedo, Roman Yangarber:
Projecting named entity recognizers without annotated or parallel corpora. NODALIDA 2019: 232-241 - 2017
- [c7]Guanhua Lee, Sijia Wang, Fransiscus Dipuro, Jue Hou, Priyanka Grover, Lian Leng Low, Nan Liu, Chui Yee Loke:
Leveraging on Predictive Analytics to Manage Clinic No Show and Improve Accessibility of Care. DSAA 2017: 429-438 - [c6]Jue Hou:
Container Terminal Operation System in Emission Control Area Using Modelling Based on Multi Agents. ITITS 2017: 168-179 - 2012
- [c5]Beibei Wang, Jue Hou, Peizhi Liu, Chen Xi:
Digital-analog in band separation using extended Combined Measurement Kalman filter. WPMC 2012: 510-513 - 2011
- [c4]Jue Hou, Yi Liu, Chao Zhang, Shilei Huang:
An In-car Chinese Noise Corpus for Speech Recognition. IALP 2011: 228-231 - 2010
- [c3]Jue Hou, Yi Liu, Thomas Fang Zheng, Jesper Ø. Olsen, Jilei Tian:
Using cepstral and prosodic features for Chinese accent identification. ISCSLP 2010: 177-181
2000 – 2009
- 2009
- [c2]Wenxiao Cao, Danning Jiang, Jue Hou, Yong Qin, Thomas Fang Zheng, Yi Liu:
A phrase-level piecewise linear scaling algorithm for melody match in Query-by-Humming systems. ICME 2009: 942-945 - [c1]Jue Hou, Danning Jiang, Wenxiao Cao, Yong Qin, Thomas Fang Zheng, Yi Liu:
Effectiveness of n-gram fast match for query-by-humming systems. ICME 2009: 1310-1313
Coauthor Index
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