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ORCIDHsing-Kuo Kenneth Pao
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- affiliation: National Taiwan University of Science & Technology
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Books and Theses
- 2001
[b1]Hsing-Kuo Kenneth Pao:
Continuous Model for Salient Shape Selection and Representation. New York University, USA, 2001
Journal Articles
- 2021
- [j9]Mohammad Iqbal
, Hsing-Kuo Pao:
Mining non-redundant distinguishing subsequence for trip destination forecasting. Knowl. Based Syst. 211: 106519 (2021) - 2019
- [j8]Hsing-Kuo Pao, Fong-Fuei Lee, Yuh-Jye Lee:
Dealing with Interleaved Event Inputs for Intrusion Detection. J. Inf. Sci. Eng. 35(1): 223-242 (2019) - 2018
- [j7]Chih-Hung Lin, Hsing-Kuo Pao, Jian-Wei Liao:
Efficient dynamic malware analysis using virtual time control mechanics. Comput. Secur. 73: 359-373 (2018) - 2016
- [j6]Rudy Cahyadi Hario Pribadi, Hsing-Kuo Pao:
Sparse tree structured representation for re-identification. Pattern Recognit. 60: 394-404 (2016) - 2013
- [j5]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): 2856-2868 (2013) - 2012
- [j4]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): 243-262 (2012) - [j3]Hsing-Kuo Pao, Junaidillah Fadlil, Hong-Yi Lin, Kuan-Ta Chen:
Trajectory analysis for user verification and recognition. Knowl. Based Syst. 34: 81-90 (2012) - [j2]Chien-Chung Chang, Hsing-Kuo Pao, Yuh-Jye Lee:
An RSVM based two-teachers-one-student semi-supervised learning algorithm. Neural Networks 25: 57-69 (2012) - 2010
- [j1]Hsing-Kuo Pao, Kuan-Ta Chen, Hong-Chung Chang:
Game Bot Detection via Avatar Trajectory Analysis. IEEE Trans. Comput. Intell. AI Games 2(3): 162-175 (2010)
Conference and Workshop Papers
- 2023
- [c39]Yueh-Lin Chung, Hsing-Kuo Pao:
Density-Based Prototypical Contrastive Learning on Visual Representations. IEEE Big Data 2023: 626-635 - [c38]Tze-Qian Eng, Hsing-Kuo Pao, Chi-Chen Liao:
Self-supervised Federated Learning for Anomaly Detection. IEEE Big Data 2023: 5770-5779 - [c37]Hanjuan Huang, Hsuan-Ting Peng, Hsing-Kuo Pao:
Fake News Detection via Sentiment Neutralization. IEEE Big Data 2023: 5780-5789 - [c36]Mohammad Iqbal, Rosita Laili Udhiah, Tsamarah Rana Nugraha, Hsing-Kuo Pao:
ASAGeR: Automated Short Answer Grading Regressor via Sentence Simplification. ICKG 2023: 60-68 - 2022
- [c35]Mohammad Iqbal, Fitria Urbach, Hsing-Kuo Pao, Anggraini Dwi Sensusiati, Nurul Hidayat, Imam Mukhlash:
Pseudo slicer on three dimensional brain tumor segmentation. IEEE Big Data 2022: 5278-5287 - [c34]Wawan Yunanto, Hsing-Kuo Pao:
User Behaviour Risk Evaluation in Zero Trust Architecture Environment. WF-IoT 2022: 1-6 - 2021
- [c33]Pei-Cheng Tu, Hsing-Kuo Pao:
A Dropout Style Model Augmentation for Cross Domain Few-Shot Learning. IEEE BigData 2021: 1138-1147 - [c32]Zhiye Fu, Hsing-Kuo Pao, Jiabin He:
Active Learning with Numerical Feature Annotation. IEEE BigData 2021: 5107-5115 - 2020
- [c31]Chin-Feng Yu, Hsing-Kuo Pao:
Virtual Adversarial Active Learning. IEEE BigData 2020: 5323-5331 - [c30]Jiabin He, Hsing-Kuo Pao:
Multi-modal, Multi-labeled Sports Highlight Extraction. TAAI 2020: 181-186 - 2019
- [c29]Ming-Chen Wang, Vahid Golderzahi, Hsing-Kuo Pao:
Extracting Explainable Deep Representation for Machine Tutoring. IEEE BigData 2019: 4651-4658 - [c28]Adrian Chriswanto, Hsing-Kuo Pao, Yuh-Jye Lee:
A Unified Approach on Active Learning Dual Supervision. IJCNN 2019: 1-8 - 2018
- [c27]Rudy Cahyadi Hario Pribadi, Junaidillah Fadlil, Hsing-Kuo Pao:
Group Behavior Recognition Based on Dictionary and Hierarchical Learning. INNS Conference on Big Data 2018: 52-59 - [c26]Vahid Golderzahi, Hsing-Kuo Pao:
Understanding Customers and Their Grouping via WiFi Sensing for Business Revenue Forecasting. MLDM (2) 2018: 56-71 - 2017
- [c25]Er-Chen Huang, Hsing-Kuo Pao, Yuh-Jye Lee:
Big active learning. IEEE BigData 2017: 94-101 - 2016
- [c24]Yuh-Jye Lee, Hsing-Kuo Pao, Shueh-Han Shih, Jing-Yao Lin, Xin-Rong Chen:
Compressed learning for time series classification. IEEE BigData 2016: 923-930 - 2015
- [c23]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: 299-303 - [c22]Ghaluh Indah P. S, Junaidillah Fadlil, Rudy Cahyadi Hario Pribadi, Hsing-Kuo Pao:
Text Comprehensiveness Ranking. WI-IAT (1) 2015: 21-25 - 2014
- [c21]Xing-Yu Chen, Hsing-Kuo Pao, Yuh-Jye Lee:
Efficient traffic speed forecasting based on massive heterogenous historical data. IEEE BigData 2014: 10-17 - [c20]Erliyah Nurul Jannah, Hsing-Kuo Pao:
Sensor Reading Prediction Using Anisotropic Kernel Gaussian Process Regression. iThings/GreenCom/CPSCom 2014: 207-214 - [c19]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: 235-240 - 2013
- [c18]Min-Sheng Lin, Chien-Yi Chiu, Yuh-Jye Lee, Hsing-Kuo Pao:
Malicious URL filtering - A big data application. IEEE BigData 2013: 589-596 - [c17]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: 676-680 - [c16]Jing-Yao Lin, Hsing-Kuo Pao:
Multi-view Malicious Document Detection. TAAI 2013: 170-175 - 2012
- [c15]Chih-Hung Lin, Chin-Wei Tien, Hsing-Kuo Pao:
Efficient and effective NIDS for cloud virtualization environment. CloudCom 2012: 249-254 - [c14]Hsing-Kuo Pao, Yan-Lin Chou, Yuh-Jye Lee:
Malicious URL Detection Based on Kolmogorov Complexity Estimation. Web Intelligence 2012: 380-387 - 2011
- [c13]Danai Koutra, Tai-You Ke, U Kang, Duen Horng Chau, Hsing-Kuo Kenneth Pao, Christos Faloutsos:
Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms. ECML/PKDD (2) 2011: 245-260 - 2010
- [c12]John Chien-Han Tseng, Hsing-Kuo Kenneth Pao, Christos Faloutsos:
The Typhoon Track Classification using Tri-plots and Markov Chain. KDIR 2010: 364-369 - [c11]Hsing-Kuo Pao, Hong-Yi Lin, Kuan-Ta Chen, Junaidillah Fadlil:
Trajectory Based Behavior Analysis for User Verification. IDEAL 2010: 316-323 - [c10]Ching-Hao Mao, Hsing-Kuo Pao, Christos Faloutsos, Hahn-Ming Lee:
SBAD: Sequence Based Attack Detection via Sequence Comparison. PSDML 2010: 78-91 - 2008
- [c9]Kuan-Ta Chen, Andrew Liao, Hsing-Kuo Kenneth Pao, Hao-Hua Chu:
Game Bot Detection Based on Avatar Trajectory. ICEC 2008: 94-105 - [c8]Kuan-Ta Chen, Hsing-Kuo Kenneth Pao, Hong-Chung Chang:
Game bot identification based on manifold learning. NETGAMES 2008: 21-26 - 2005
- [c7]Hsing-Kuo Pao, Shou-Chih Chang, Yuh-Jye Lee:
Model Trees for Classification of Hybrid Data Types. IDEAL 2005: 32-39 - 2004
- [c6]Hsing-Kuo Pao, John Case:
Computing Entropy for Ortholog Detection. International Conference on Computational Intelligence 2004: 89-92 - 2002
- [c5]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: 259-268 - 2001
- [c4]Hsing-Kuo Pao, Davi Geiger:
A Continuous Shape Descriptor by Orientation Diffusion. EMMCVPR 2001: 544-559 - 1999
- [c3]Hsing-Kuo Pao, Davi Geiger, Nava Rubin:
Measuring Convexity for Figure/Ground Separation. ICCV 1999: 948-955 - [c2]Davi Geiger, Krishnan Kumaran, Hsing-Kuo Pao, Nava Rubin:
The Shape of Illusory Figures. ICIP (2) 1999: 6-10 - 1998
- [c1]Davi Geiger, Hsing-Kuo Pao, Nava Rubin:
Salient and Multiple Illusory Surfaces. CVPR 1998: 118-124
Informal and Other Publications
- 2024
- [i2]Zolnamar Dorjsembe, Hsing-Kuo Pao, Furen Xiao:
Polyp-DDPM: Diffusion-Based Semantic Polyp Synthesis for Enhanced Segmentation. CoRR abs/2402.04031 (2024) - 2023
- [i1]Zolnamar Dorjsembe, Hsing-Kuo Pao, Sodtavilan Odonchimed, Furen Xiao:
Conditional Diffusion Models for Semantic 3D Medical Image Synthesis. CoRR abs/2305.18453 (2023)
Coauthor Index
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