Scheduling Budget Constrained Cloud Workflows with Particle Swarm Optimization. - Xiaotong Wang; Bin Cao 004; Chenyu Hou; Li-Rong Xiong; Jing Fan (CIC, 2015)

Covering the Optimal Time Window Over Temporal Data. - Bin Cao 004; Chenyu Hou; Jing Fan (CIKM, 2017)

BMRC: A Bitmap-Based Maximum Range Counting Approach for Temporal Data in Sensor Monitoring Networks. - Bin Cao 004; Wangyuan Chen; Ying Shen; Chenyu Hou; Jung-Yoon Kim; Lifeng Yu (Sensors, 2017)

URoad: An Efficient Algorithm for Large-Scale Dynamic Ridesharing Service. - Jing Fan; Jinting Xu; Chenyu Hou; Bin Cao 004; Tianyang Dong; Shiwei Cheng (ICWS, 2018)

$ sf {SIMkNN}$: A Scalable Method for in-MemorykNN Search over Moving Objects in Road Networks. - Bin Cao 004; Chenyu Hou; Suifei Li; Jing Fan; Jianwei Yin; Baihua Zheng; Jie Bao 003 (IEEE Trans. Knowl. Data Eng., 2018)

Dynamic Pricing for Resource Consumption in Cloud Service. - Bin Cao 004; Kai Wang; Jinting Xu; Chenyu Hou; Jing Fan; Hangning Que (Wirel. Commun. Mob. Comput., 2018)

Predicting e-book ranking based on the implicit user feedback. - Bin Cao 004; Chenyu Hou; Hongjie Peng; Jing Fan; Jian Yang 001; Jianwei Yin; Shuiguang Deng (World Wide Web, 2019)

SHAREK*: A Scalable Matching Method for Dynamic Ride Sharing. - Bin Cao 004; Chenyu Hou; Liwei Zhao; Louai Alarabi; Jing Fan; Mohamed F. Mokbel; Anas Basalamah (GeoInformatica, 2020)

SiaSL: A Siamese Neural Network for Service Level Prediction. - Chenyu Hou; Bin Cao 004 (ICWS, 2021)

A deep-learning prediction model for imbalanced time series data forecasting. - Chenyu Hou; Jiawei Wu 009; Bin Cao 004; Jing Fan (Big Data Min. Anal., 2021)

TLDS: A Transfer-Learning-Based Delivery Station Location Selection Pipeline. - Chenyu Hou; Bin Cao 004; Sijie Ruan; Jing Fan (ACM Trans. Intell. Syst. Technol., 2021)

Expediting the Accuracy-Improving Process of SVMs for Class Imbalance Learning. - Bin Cao 004; Yuqi Liu 002; Chenyu Hou; Jing Fan; Baihua Zheng; Jianwei Yin (IEEE Trans. Knowl. Data Eng., 2021)

A data-driven method to predict service level for call centers. - Chenyu Hou; Bin Cao 004; Jing Fan (IET Commun., 2022)

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 (AIED (Posters/Late Breaking Results/...), 2023)

Embrace Opportunities and Face Challenges: Using ChatGPT in Undergraduate Students' Collaborative Interdisciplinary Learning. - Gaoxia Zhu; Xiuyi Fan; Chenyu Hou; Tianlong Zhong; Peter Sen Kee Seow; Shen-Hsing Annabel Chen; Preman Rajalingam; Low Kin Yew; Tan Lay Poh (CoRR, 2023)

MPLinear: Multiscale Patch Linear Model for Long-Term Time Series Forecasting. - Qinkai Jiang; Chenyu Hou; Bin Cao 004; Tianming Zhang; Tiantian Li; Jing Fan (ICONIP (6), 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 (LAK, 2024)

TLN-LSTM: an automatic modulation recognition classifier based on a two-layer nested structure of LSTM network for extremely long signal sequences. - Feng Qian; Yongsheng Tu; Chenyu Hou; Bin Cao 004 (Int. J. Web Inf. Syst., 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, 2024)

Exploring behavioural patterns and their relationships with social annotation outcomes. - Shan Li; Xiaoshan Huang; Gaoxia Zhu; Hanxiang Du; Tianlong Zhong; Chenyu Hou; Juan Zheng (J. Comput. Assist. Learn., 2024)

The influences of ChatGPT on undergraduate students' demonstrated and perceived interdisciplinary learning. - Tianlong Zhong; Gaoxia Zhu; Chenyu Hou; Yuhan Wang; Xiuyi Fan (Educ. Inf. Technol., 2024)

Measuring undergraduate students' reliance on Generative AI during problem-solving: Scale development and validation. - Chenyu Hou; Gaoxia Zhu; Vidya Sudarshan; Fun Siong Lim; Yew Soon Ong (Comput. Educ., 2025)

Exploring emotional dynamics between productive and improvable knowledge-building discourses. - Chenyu Hou; Gaoxia Zhu; Yuqin Yang; Seng-Chee Tan (Comput. Educ., 2025)

Co-active: an efficient selective relabeling model for resource constrained edge AI. - Chenyu Hou; Kai Jiang; Tiantian Li; Meng Zhou; Jun Jiang (Wirel. Networks, 2025)