Hua-Yi Hsu

Prof. Hua-Yi Hsu

National Taipei University of Technology, Taipei, Taiwan
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 July 2025 in IEEE Access
Verified
Journal Article
Open access
ZHZhengmao Hua
Zhengmao Hua
KAKaviya Aranganadin
Kaviya Aranganadin
CYCheng-Cheng Yeh
Cheng-Cheng Yeh
XHXinhe Hai
Xinhe Hai
CHChen-Yun Huang
Chen-Yun Huang
MLMing-Chieh Lin
Ming-Chieh Lin
You Only Look Once (YOLO) has established itself as a prominent object detection framework due to its excellent balance between speed and accuracy. This article provides a thorough review of the YOLO series, from YOLOv1 to YOLOv10, including YOLOX, emphasizing their architectural advancements, loss function improvements, and performance enhancements. We have benchmarked the officially released versions from YOLOv3 to YOLOv10 and YOLOX, using widely recognized datasets VOC07+12 and COCO2017, on diverse hardware platforms: NVIDIA GTX Titan-X, RTX 3060, and Tesla V100. The benchmark provides significant insights, such as YOLOv9-E achieving the highest mean average precision (mAP) of 76.0% on VOC07+12 and also showing superior detection accuracy on COCO2017 with an mAP of 56.6% which is 1.2% higher than that of the latest YOLOv10-X. YOLOv9-E stands out for its superior detection accuracy making it more suitable for detection needs high accuracy such as analysis of medical images, while some lightweight versions like YOLOv5-S, YOLOv7-S, YOLOv8-S, and YOLOv10-S offer the great balance of accuracy and speed, making them ideal for real-time applications. Among them, YOLOv7-S has the highest mAP value among these lightweight models. Inference benchmarks highlight lightweight YOLO models such as YOLOv10-S for their exceptional inference speed on all GPUs and results of training time also indicate YOLOv9-E would take the longest time to converge among all versions using both datasets. This study would provide researchers and developers with some strategies in choosing appropriate YOLO models based on accuracy, resource availability, and application-specific needs.

10 November 2017 in PLOS ONE
Verified
Journal Article
Open access
PDF file
HHHua-Yi Hsu
Hua-Yi Hsu
MLMing-Chieh Lin
Ming-Chieh Lin
BPBridget Popovic
Bridget Popovic
CLChii-Ruey Lin
Chii-Ruey Lin
NPNeelesh A Patankar
Neelesh A Patankar
Surface wettability is recognized as playing an important role in pool boiling and the corresponding heat transfer curve. In this work, a systematic study of pool boiling heat transfer on smooth surfaces of varying wettability (contact angle range of 5° − 180°) has been conducted and reported. Based on numerical simulations, boiling curves are calculated and boiling dynamics in each regime are studied using a volume-of-fluid method with contact angle model. The calculated trends in critical heat flux and Leidenfrost point as functions of surface wettability are obtained and compared with prior experimental and theoretical predictions, giving good agreement. For the first time, the effect of contact angle on the complete boiling curve is shown. It is demonstrated that the simulation methodology can be used for studying pool boiling and related dynamics and providing more physical insights.

6 April 2024 in Applied Thermal Engineering
Verified
Journal Article
Closed access
CLChia-Wei Lin
Chia-Wei Lin
HHHua-Yi Hsu
Hua-Yi Hsu
RKRanjith Kumar
Ranjith Kumar

29 September 2022 in International Journal of Heat and Mass Transfer
Verified
Journal Article
Closed access
CLChia-Wei Lin
Chia-Wei Lin
YLYu-Chen Lin
Yu-Chen Lin
RKRanjith Kumar
Ranjith Kumar
MLMing-Chieh Lin
Ming-Chieh Lin
HHHua-Yi Hsu
Hua-Yi Hsu

11 March 2024 in International Journal of Heat and Mass Transfer
Verified
Journal Article
Closed access
HHHua-Yi Hsu
Hua-Yi Hsu
RKRanjith Kumar
Ranjith Kumar
CLChia-Wei Lin
Chia-Wei Lin

24 June 2022 in Case Studies in Thermal Engineering
Verified
Journal Article
Open access
HLHsueh-Che Liu
Hsueh-Che Liu
YCYu-Lun Chang
Yu-Lun Chang
YCYing-Yuan Chen
Ying-Yuan Chen
CLChun-Wei Lin
Chun-Wei Lin
YLYu-Chen Lin
Yu-Chen Lin
HHHua-Yi Hsu
Hua-Yi Hsu