Chenyu Hou

According to our database, Chenyu Hou authored at least 17 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Experimental Investigation and Damage Identification of High-Pile Wharf Framed Bents under Horizontal Impact Loads.

Yonglai Zheng, Fei Xiao, Ruxue Zhang, Tanbo Pan, Xin Lan, Xubing Xu, Chenyu Hou

Sensors, January, 2024

Prompt-based and Fine-tuned GPT Models for Context-Dependent and -Independent Deductive Coding in Social Annotation.

Chenyu Hou, Gaoxia Zhu, Juan Zheng, Lishan Zhang, Xiaoshan Huang, Tianlong Zhong, Shan Li, Hanxiang Du, Chin Lee Ker

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

2023

Embrace Opportunities and Face Challenges: Using ChatGPT in Undergraduate Students' Collaborative Interdisciplinary Learning.

Gaoxia Zhu, Xiuyi Fan, Chenyu Hou, Tianlong Zhong, Peter Seow, Shen-Hsing Annabel Chen, Preman Rajalingam, Low Kin Yew, Tan Lay Poh

CoRR, 2023

A Software Platform for Evaluating Student Essays in Interdisciplinary Learning with Topic Classification Techniques.

Bryan Lim Cheng Yee, Chenyu Hou, Gaoxia Zhu, Fun Siong Lim, Shengfei Lyu, Xiuyi Fan

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022

A data-driven method to predict service level for call centers.

Chenyu Hou, Bin Cao, Jing Fan

IET Commun., 2022

2021

Expediting the Accuracy-Improving Process of SVMs for Class Imbalance Learning.

Bin Cao, Yuqi Liu, Chenyu Hou, Jing Fan, Baihua Zheng, Jianwei Yin

IEEE Trans. Knowl. Data Eng., 2021

TLDS: A Transfer-Learning-Based Delivery Station Location Selection Pipeline.

Chenyu Hou, Bin Cao, Sijie Ruan, Jing Fan

ACM Trans. Intell. Syst. Technol., 2021

A deep-learning prediction model for imbalanced time series data forecasting.

Chenyu Hou, Jiawei Wu, Bin Cao, Jing Fan

Big Data Min. Anal., 2021

SiaSL: A Siamese Neural Network for Service Level Prediction.

Chenyu Hou, Bin Cao

Proceedings of the 2021 IEEE International Conference on Web Services, 2021

2020

SHAREK*: A Scalable Matching Method for Dynamic Ride Sharing.

Bin Cao, Chenyu Hou, Liwei Zhao, Louai Alarabi, Jing Fan, Mohamed F. Mokbel, Anas Basalamah

GeoInformatica, 2020

2019

Predicting e-book ranking based on the implicit user feedback.

Bin Cao, Chenyu Hou, Hongjie Peng, Jing Fan, Jian Yang, Jianwei Yin, Shuiguang Deng

World Wide Web, 2019

2018

Dynamic Pricing for Resource Consumption in Cloud Service.

Bin Cao, Kai Wang, Jinting Xu, Chenyu Hou, Jing Fan, Hangning Que

Wirel. Commun. Mob. Comput., 2018

$\sf {SIMkNN}$: A Scalable Method for in-MemorykNN Search over Moving Objects in Road Networks.

Bin Cao, Chenyu Hou, Suifei Li, Jing Fan, Jianwei Yin, Baihua Zheng, Jie Bao

IEEE Trans. Knowl. Data Eng., 2018

URoad: An Efficient Algorithm for Large-Scale Dynamic Ridesharing Service.

Jing Fan, Jinting Xu, Chenyu Hou, Bin Cao, Tianyang Dong, Shiwei Cheng

Proceedings of the 2018 IEEE International Conference on Web Services, 2018

2017

BMRC: A Bitmap-Based Maximum Range Counting Approach for Temporal Data in Sensor Monitoring Networks.

Bin Cao, Wangyuan Chen, Ying Shen, Chenyu Hou, Jung-Yoon Kim, Lifeng Yu

Sensors, 2017

Covering the Optimal Time Window Over Temporal Data.

Bin Cao, Chenyu Hou, Jing Fan

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2015

Scheduling Budget Constrained Cloud Workflows with Particle Swarm Optimization.

Xiaotong Wang, Bin Cao, Chenyu Hou, Li-Rong Xiong, Jing Fan

Proceedings of the IEEE Conference on Collaboration and Internet Computing, 2015