Hsing-Kuo Pao

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 25

Top Topics

Gaussian Process Regression

Active Learning

Diffusion Models

Top Venues

Publications

Mohammad Iqbal, Adila Sekarrati Dwi Prayitno, Hsing-Kuo Pao, Imam Mukhlash
Mining fuzzy local periodic activity pattern for Smart home applications. Knowl. Based Syst. 293 (2024)
Zolnamar Dorjsembe, Hsing-Kuo Pao, Sodtavilan Odonchimed, Furen Xiao
Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis. IEEE J. Biomed. Health Informatics 28 (7) (2024)
Zolnamar Dorjsembe, Hsing-Kuo Pao, Furen Xiao
Polyp-DDPM: Diffusion-Based Semantic Polyp Synthesis for Enhanced Segmentation. CoRR (2024)
Hanjuan Huang, Hao-Jia Song, Hsing-Kuo Pao
Large Language Model Pruning. CoRR (2024)
Yueh-Lin Chung, Hsing-Kuo Pao
Density-Based Prototypical Contrastive Learning on Visual Representations. BigData (2023)
Zolnamar Dorjsembe, Hsing-Kuo Pao, Sodtavilan Odonchimed, Furen Xiao
Conditional Diffusion Models for Semantic 3D Medical Image Synthesis. CoRR (2023)
Hanjuan Huang, Hsuan-Ting Peng, Hsing-Kuo Pao
Fake News Detection via Sentiment Neutralization. BigData (2023)
Tze-Qian Eng, Hsing-Kuo Pao, Chi-Chen Liao
Self-supervised Federated Learning for Anomaly Detection. BigData (2023)
Mohammad Iqbal, Rosita Laili Udhiah, Tsamarah Rana Nugraha, Hsing-Kuo Pao
ASAGeR: Automated Short Answer Grading Regressor via Sentence Simplification. ICKG (2023)
Wawan Yunanto, Hsing-Kuo Pao
User Behaviour Risk Evaluation in Zero Trust Architecture Environment. WF-IoT (2022)
Mohammad Iqbal, Fitria Urbach, Hsing-Kuo Pao, Anggraini Dwi Sensusiati, Nurul Hidayat, Imam Mukhlash
Pseudo slicer on three dimensional brain tumor segmentation. Big Data (2022)
Mohammad Iqbal, Hsing-Kuo Pao
Mining non-redundant distinguishing subsequence for trip destination forecasting. Knowl. Based Syst. 211 (2021)
Pei-Cheng Tu, Hsing-Kuo Pao
A Dropout Style Model Augmentation for Cross Domain Few-Shot Learning. IEEE BigData (2021)
Zhiye Fu, Hsing-Kuo Pao, Jiabin He
Active Learning with Numerical Feature Annotation. IEEE BigData (2021)
Chin-Feng Yu, Hsing-Kuo Pao
Virtual Adversarial Active Learning. IEEE BigData (2020)
Jiabin He, Hsing-Kuo Pao
Multi-modal, Multi-labeled Sports Highlight Extraction. TAAI (2020)
Adrian Chriswanto, Hsing-Kuo Pao, Yuh-Jye Lee
A Unified Approach on Active Learning Dual Supervision. IJCNN (2019)
Ming-Chen Wang, Vahid Golderzahi, Hsing-Kuo Pao
Extracting Explainable Deep Representation for Machine Tutoring. IEEE BigData (2019)
Hsing-Kuo Pao, Fong-Fuei Lee, Yuh-Jye Lee
Dealing with Interleaved Event Inputs for Intrusion Detection. J. Inf. Sci. Eng. 35 (1) (2019)
Rudy Cahyadi Hario Pribadi, Junaidillah Fadlil, Hsing-Kuo Pao
Group Behavior Recognition Based on Dictionary and Hierarchical Learning. INNS Conference on Big Data (2018)
Vahid Golderzahi, Hsing-Kuo Pao
Understanding Customers and Their Grouping via WiFi Sensing for Business Revenue Forecasting. MLDM (2) (2018)
Chih-Hung Lin, Hsing-Kuo Pao, Jian-Wei Liao
Efficient dynamic malware analysis using virtual time control mechanics. Comput. Secur. 73 (2018)
Er-Chen Huang, Hsing-Kuo Pao, Yuh-Jye Lee
Big active learning. IEEE BigData (2017)
Rudy Cahyadi Hario Pribadi, Hsing-Kuo Pao
Sparse tree structured representation for re-identification. Pattern Recognit. 60 (2016)
Yuh-Jye Lee, Hsing-Kuo Pao, Shueh-Han Shih, Jing-Yao Lin, Xin-Rong Chen
Compressed learning for time series classification. IEEE BigData (2016)
Ghaluh Indah P. S, Junaidillah Fadlil, Rudy Cahyadi Hario Pribadi, Hsing-Kuo Pao
Text Comprehensiveness Ranking. WI-IAT (1) (2015)
Chih-Hung Lin, Chin-Wei Tien, Chih-Wei Chen, Chia-Wei Tien, Hsing-Kuo Pao
Efficient spear-phishing threat detection using hypervisor monitor. ICCST (2015)
Xing-Yu Chen, Hsing-Kuo Pao, Yuh-Jye Lee
Efficient traffic speed forecasting based on massive heterogenous historical data. IEEE BigData (2014)
Erliyah Nurul Jannah, Hsing-Kuo Pao
Sensor Reading Prediction Using Anisotropic Kernel Gaussian Process Regression. iThings/GreenCom/CPSCom (2014)
Kuan-Wen Chen, Hsin-Mu Tsai, Chih-Hung Hsieh, Shou-De Lin, Chieh-Chih Wang, Shao-Wen Yang, Shao-Yi Chien, Chia-Han Lee, Yu-Chi Su, Chun-Ting Chou, Yuh-Jye Lee, Hsing-Kuo Pao, Ruey-Shan Guo, Chung-Jen Chen, Ming-Hsuan Yang, Bing-Yu Chen, Yi-Ping Hung
Connected vehicle safety science, system, and framework. WF-IoT (2014)
Min-Sheng Lin, Chien-Yi Chiu, Yuh-Jye Lee, Hsing-Kuo Pao
Malicious URL filtering - A big data application. IEEE BigData (2013)
Kai-Lung Hua, Ge-Ming Chiu, Hsing-Kuo Pao, Yi-Chi Cheng
An efficient scheduling algorithm for scalable video streaming over P2P networks. Comput. Networks 57 (14) (2013)
Kai-Lung Hua, Ge-Ming Chiu, Tai-Lin Chin, Hsing-Kuo Pao, Yi-Chi Cheng, Guan-Ming Su
A novel scalable video streaming system on P2P networks. ICNC (2013)
Jing-Yao Lin, Hsing-Kuo Pao
Multi-view Malicious Document Detection. TAAI (2013)
Hsing-Kuo Pao, Junaidillah Fadlil, Hong-Yi Lin, Kuan-Ta Chen
Trajectory analysis for user verification and recognition. Knowl. Based Syst. 34 (2012)
Chih-Hung Lin, Chin-Wei Tien, Hsing-Kuo Pao
Efficient and effective NIDS for cloud virtualization environment. CloudCom (2012)
Chien-Chung Chang, Hsing-Kuo Pao, Yuh-Jye Lee
An RSVM based two-teachers-one-student semi-supervised learning algorithm. Neural Networks 25 (2012)
Hsing-Kuo Pao, Yan-Lin Chou, Yuh-Jye Lee
Malicious URL Detection Based on Kolmogorov Complexity Estimation. Web Intelligence (2012)
Hsing-Kuo Pao, Ching-Hao Mao, Hahn-Ming Lee, Chi-Dong Chen, Christos Faloutsos
An Intrinsic Graphical Signature Based on Alert Correlation Analysis for Intrusion Detection. J. Inf. Sci. Eng. 28 (2) (2012)
Hsing-Kuo Pao, Kuan-Ta Chen, Hong-Chung Chang
Game Bot Detection via Avatar Trajectory Analysis. IEEE Trans. Comput. Intell. AI Games 2 (3) (2010)
Ching-Hao Mao, Hsing-Kuo Pao, Christos Faloutsos, Hahn-Ming Lee
SBAD: Sequence Based Attack Detection via Sequence Comparison. PSDML (2010)
Hsing-Kuo Pao, Hong-Yi Lin, Kuan-Ta Chen, Junaidillah Fadlil
Trajectory Based Behavior Analysis for User Verification. IDEAL (2010)
Hsing-Kuo Pao, Shou-Chih Chang, Yuh-Jye Lee
Model Trees for Classification of Hybrid Data Types. IDEAL (2005)
Hsing-Kuo Pao, John Case
Computing Entropy for Ortholog Detection. International Conference on Computational Intelligence (2004)
Chee-Keng Yap, Henning Biermann, Aaron Hertzmann, Chen Li, Jon Meyer, Hsing-Kuo Pao, Salvatore Paxia
Different Manhattan project: automatic statistical model generation. Visualization and Data Analysis (2002)
Hsing-Kuo Pao, Davi Geiger
A Continuous Shape Descriptor by Orientation Diffusion. EMMCVPR (2001)
Davi Geiger, Krishnan Kumaran, Hsing-Kuo Pao, Nava Rubin
The Shape of Illusory Figures. ICIP (2) (1999)
Hsing-Kuo Pao, Davi Geiger, Nava Rubin
Measuring Convexity for Figure/Ground Separation. ICCV (1999)
Davi Geiger, Hsing-Kuo Pao, Nava Rubin
Salient and Multiple Illusory Surfaces. CVPR (1998)