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Haoting Zhang
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2020 – today
- 2024
- [c6]Haoting Zhang, Hiroshi Yamamoto:
Lifelog Mesh Sensor Network System Supporting Wake-Up Control Function Based on States of Power Generation. CCNC 2024: 484-489 - [i4]Haoting Zhang, Jinghai He, Rhonda Righter, Zeyu Zheng:
Language Model Prompt Selection via Simulation Optimization. CoRR abs/2404.08164 (2024) - [i3]Haoting Zhang, Donglin Zhan, Yunduan Lin, Jinghai He, Qing Zhu, Zuo-Jun Max Shen, Zeyu Zheng:
Daily Physical Activity Monitoring - Adaptive Learning from Multi-source Motion Sensor Data. CoRR abs/2405.16395 (2024) - 2023
- [j5]Haoting Zhang, Carl Henrik Ek, Magnus Rattray, Marta Milo:
SynBa: improved estimation of drug combination synergies with uncertainty quantification. Bioinform. 39(Supplement-1): 121-130 (2023) - [j4]Zhenyu Yuan, Haoting Zhang, Jingfeng Li, Fanli Meng, Zhiqiang Yang, Hua Zhang:
Ag Nanoparticle-Modified ZnO-In2O3 Nanocomposites for Low-Temperature Rapid Detection Hydrogen Gas Sensors. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j3]Hua Zhang, Haoting Zhang, Zhenyu Yuan, Yudong Li, Fanli Meng:
ppb-Level Detection Triethylamine Gas Sensor Based on Ag-Doped Nanosheets-Assembled Octahedron Zn2SnO4. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [c5]Haoting Zhang, Jinghai He, Rhonda Righter, Zuo-Jun Max Shen, Zeyu Zheng:
Contextual Gaussian Process Bandits with Neural Networks. NeurIPS 2023 - 2022
- [j2]Haoting Zhang, Mei Tian, Gaoping Shao, Juan Cheng, Jingjing Liu:
Target Detection of Forward-Looking Sonar Image Based on Improved YOLOv5. IEEE Access 10: 18023-18034 (2022) - 2021
- [c4]Yi Fu, Haoting Zhang:
Illumination condition model system of exhibition hall design based on computer aided design. ICISCAE (IEEE) 2021: 377-381 - [c3]Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Chris C. Holmes:
Multi-Facet Clustering Variational Autoencoders. NeurIPS 2021: 8676-8690 - [c2]Haoting Zhang, Jinghai He, Donglin Zhan, Zeyu Zheng:
Neural Network-Assisted Simulation Optimization with Covariates. WSC 2021: 1-12 - [i2]Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Christopher C. Holmes:
Multi-Facet Clustering Variational Autoencoders. CoRR abs/2106.05241 (2021) - 2020
- [c1]Haoting Zhang, Zeyu Zheng:
Simulating Nonstationary Spatio-Temporal Poisson Processes using the Inversion Method. WSC 2020: 492-503
2010 – 2019
- 2019
- [i1]Donglin Zhan, Shiyu Yi, Dongli Xu, Xiao Yu, Denglin Jiang, Siqi Yu, Haoting Zhang, Wenfang Shangguan, Weihua Zhang:
Adaptive Transfer Learning of Multi-View Time Series Classification. CoRR abs/1910.07632 (2019) - 2018
- [j1]Haoting Zhang, Hongliang He, Wenyu Zhang:
Classifier selection and clustering with fuzzy assignment in ensemble model for credit scoring. Neurocomputing 316: 210-221 (2018)
Coauthor Index
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