Shao-Yuan Lo

588 total citations
12 papers, 153 citations indexed

About

Shao-Yuan Lo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Shao-Yuan Lo has authored 12 papers receiving a total of 153 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 2 papers in Automotive Engineering. Recurrent topics in Shao-Yuan Lo's work include Advanced Neural Network Applications (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Shao-Yuan Lo is often cited by papers focused on Advanced Neural Network Applications (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Shao-Yuan Lo collaborates with scholars based in United States, Taiwan and Germany. Shao-Yuan Lo's co-authors include Hsueh‐Ming Hang, Vishal M. Patel, Poojan Oza, Wei Wang, Jingjing Zheng, Yang Zhao, Xiaofeng Yang, Junbo Peng, Shaoyan Pan and Yuan Gao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Shao-Yuan Lo

9 papers receiving 146 citations

Peers

Countries citing papers authored by Shao-Yuan Lo

Since Specialization

Citations

This map shows the geographic impact of Shao-Yuan Lo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shao-Yuan Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shao-Yuan Lo more than expected).

Fields of papers citing papers by Shao-Yuan Lo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao-Yuan Lo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shao-Yuan Lo. The network helps show where Shao-Yuan Lo may publish in the future.

Co-authorship network of co-authors of Shao-Yuan Lo

This figure shows the co-authorship network connecting the top 25 collaborators of Shao-Yuan Lo. A scholar is included among the top collaborators of Shao-Yuan Lo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shao-Yuan Lo. Shao-Yuan Lo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	CBCT Reconstruction Using Single X-Ray Projection With Cycle-Domain Geometry-Integrated Denoising Diffusion Probabilistic Models 2025 ·IEEE Transactions on Medical Imaging ·Shaoyan Pan, Junbo Peng, Yuan Gao, Shao-Yuan Lo, (unknown), (unknown), Tonghe Wang, Chih‐Wei Chang, Zhen Tian, Xiaofeng Yang	0
2	Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models 2025 ·Jennifer Xu, Shao-Yuan Lo, Bardia Safaei, Vishal M. Patel, (unknown)	2
3	StimuVAR: Spatiotemporal Stimuli-Aware Video Affective Reasoning with Multimodal Large Language Models 2025 ·International Journal of Computer Vision ·Yuxiang Guo, (unknown), Yang Zhao, Rama Chellappa, Shao-Yuan Lo	0
4	Adaptive Batch Normalization Networks for Adversarial Robustness 2024 ·Shao-Yuan Lo, (unknown)	2
5	Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation 2023 ·Shao-Yuan Lo, Poojan Oza, (unknown), (unknown), Vishal M. Patel	12
6	Deep learning-based multi-organ CT segmentation with adversarial data augmentation 2023 ·Shaoyan Pan, Shao-Yuan Lo, Min Huang, Chaoqiong Ma, Jacob Wynne, Tonghe Wang, Tian Liu, Xiaofeng Yang	0
7	Adversarially Robust One-class Novelty Detection 2022 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Shao-Yuan Lo, Poojan Oza, Vishal M. Patel	16
8	Learning Feature Decomposition for Domain Adaptive Monocular Depth Estimation 2022 ·2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ·Shao-Yuan Lo, Wei Wang, (unknown), Jingjing Zheng, Vishal M. Patel, (unknown)	10
9	Defending Against Multiple and Unforeseen Adversarial Videos 2021 ·IEEE Transactions on Image Processing ·Shao-Yuan Lo, Vishal M. Patel	13
10	Multi-Class Lane Semantic Segmentation using Efficient Convolutional Networks 2019 ·Shao-Yuan Lo, Hsueh‐Ming Hang, (unknown), (unknown)	19
11	Incorporating Luminance, Depth and Color Information by a Fusion-Based Network for Semantic Segmentation 2019 ·(unknown), Shao-Yuan Lo, Hsueh‐Ming Hang	28
12	Efficient Road Lane Marking Detection with Deep Learning 2018 ·(unknown), Shao-Yuan Lo, Hsueh‐Ming Hang, (unknown), (unknown)	51

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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