Salient and Multiple Illusory Surfaces. - Davi Geiger; Hsing-Kuo Pao; Nava Rubin (CVPR, 1998)

Measuring Convexity for Figure/Ground Separation. - Hsing-Kuo Pao; Davi Geiger; Nava Rubin (ICCV, 1999)

The Shape of Illusory Figures. - Davi Geiger; Krishnan Kumaran; Hsing-Kuo Pao; Nava Rubin (ICIP (2), 1999)

A Continuous Shape Descriptor by Orientation Diffusion. - Hsing-Kuo Pao; Davi Geiger (EMMCVPR, 2001)

Continuous Model for Salient Shape Selection and Representation. - Hsing-Kuo Kenneth Pao (2001)

Different Manhattan project: automatic statistical model generation. - Chee-Keng Yap; Henning Biermann; Aaron Hertzmann; Chen Li 003; Jon Meyer; Hsing-Kuo Pao; Salvatore Paxia (Visualization and Data Analysis, 2002)

Computing Entropy for Ortholog Detection. - Hsing-Kuo Pao; John Case (International Conference on Computational Intelligence, 2004)

Model Trees for Classification of Hybrid Data Types. - Hsing-Kuo Pao; Shou-Chih Chang; Yuh-Jye Lee (IDEAL, 2005)

Game Bot Detection Based on Avatar Trajectory. - Kuan-Ta Chen; Andrew Liao; Hsing-Kuo Kenneth Pao; Hao-Hua Chu (ICEC, 2008)

Game bot identification based on manifold learning. - Kuan-Ta Chen; Hsing-Kuo Kenneth Pao; Hong-Chung Chang (NETGAMES, 2008)

The Typhoon Track Classification using Tri-plots and Markov Chain. - John Chien-Han Tseng; Hsing-Kuo Kenneth Pao; Christos Faloutsos (KDIR, 2010)

Trajectory Based Behavior Analysis for User Verification. - Hsing-Kuo Pao; Hong-Yi Lin; Kuan-Ta Chen; Junaidillah Fadlil (IDEAL, 2010)

SBAD: Sequence Based Attack Detection via Sequence Comparison. - Ching-Hao Mao; Hsing-Kuo Pao; Christos Faloutsos; Hahn-Ming Lee (PSDML, 2010)

Game Bot Detection via Avatar Trajectory Analysis. - Hsing-Kuo Pao; Kuan-Ta Chen; Hong-Chung Chang (IEEE Trans. Comput. Intell. AI Games, 2010)

Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms. - Danai Koutra; Tai-You Ke; U Kang; Duen Horng Chau; Hsing-Kuo Kenneth Pao; Christos Faloutsos (ECML/PKDD (2), 2011)

Efficient and effective NIDS for cloud virtualization environment. - Chih-Hung Lin; Chin-Wei Tien; Hsing-Kuo Pao (CloudCom, 2012)

Malicious URL Detection Based on Kolmogorov Complexity Estimation. - Hsing-Kuo Pao; Yan-Lin Chou; Yuh-Jye Lee (Web Intelligence, 2012)

An Intrinsic Graphical Signature Based on Alert Correlation Analysis for Intrusion Detection. - Hsing-Kuo Pao; Ching-Hao Mao; Hahn-Ming Lee; Chi-Dong Chen; Christos Faloutsos (J. Inf. Sci. Eng., 2012)

Trajectory analysis for user verification and recognition. - Hsing-Kuo Pao; Junaidillah Fadlil; Hong-Yi Lin; Kuan-Ta Chen (Knowl. Based Syst., 2012)

An RSVM based two-teachers-one-student semi-supervised learning algorithm. - Chien-Chung Chang; Hsing-Kuo Pao; Yuh-Jye Lee (Neural Networks, 2012)

Malicious URL filtering - A big data application. - Min-Sheng Lin; Chien-Yi Chiu; Yuh-Jye Lee; Hsing-Kuo Pao (IEEE BigData, 2013)

A novel scalable video streaming system on P2P networks. - Kai-Lung Hua; Ge-Ming Chiu; Tai-Lin Chin; Hsing-Kuo Pao; Yi-Chi Cheng; Guan-Ming Su (ICNC, 2013)

Multi-view Malicious Document Detection. - Jing-Yao Lin; Hsing-Kuo Pao (TAAI, 2013)

An efficient scheduling algorithm for scalable video streaming over P2P networks. - Kai-Lung Hua; Ge-Ming Chiu; Hsing-Kuo Pao; Yi-Chi Cheng (Comput. Networks, 2013)

Efficient traffic speed forecasting based on massive heterogenous historical data. - Xing-Yu Chen; Hsing-Kuo Pao; Yuh-Jye Lee (IEEE BigData, 2014)

Sensor Reading Prediction Using Anisotropic Kernel Gaussian Process Regression. - Erliyah Nurul Jannah; Hsing-Kuo Pao (iThings/GreenCom/CPSCom, 2014)

Connected vehicle safety science, system, and framework. - 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; et al. (WF-IoT, 2014)

Efficient spear-phishing threat detection using hypervisor monitor. - Chih-Hung Lin; Chin-Wei Tien; Chih-Wei Chen; Chia-Wei Tien; Hsing-Kuo Pao (ICCST, 2015)

Text Comprehensiveness Ranking. - Ghaluh Indah P. S; Junaidillah Fadlil; Rudy Cahyadi Hario Pribadi; Hsing-Kuo Pao (WI-IAT (1), 2015)

Compressed learning for time series classification. - Yuh-Jye Lee; Hsing-Kuo Pao; Shueh-Han Shih; Jing-Yao Lin; Xin-Rong Chen (IEEE BigData, 2016)

Sparse tree structured representation for re-identification. - Rudy Cahyadi Hario Pribadi; Hsing-Kuo Pao (Pattern Recognit., 2016)

Big active learning. - Er-Chen Huang; Hsing-Kuo Pao; Yuh-Jye Lee (IEEE BigData, 2017)

Group Behavior Recognition Based on Dictionary and Hierarchical Learning. - Rudy Cahyadi Hario Pribadi; Junaidillah Fadlil; Hsing-Kuo Pao (INNS Conference on Big Data, 2018)

Understanding Customers and Their Grouping via WiFi Sensing for Business Revenue Forecasting. - Vahid Golderzahi; Hsing-Kuo Pao (MLDM (2), 2018)

Efficient dynamic malware analysis using virtual time control mechanics. - Chih-Hung Lin; Hsing-Kuo Pao; Jian-Wei Liao (Comput. Secur., 2018)

Extracting Explainable Deep Representation for Machine Tutoring. - Ming-Chen Wang; Vahid Golderzahi; Hsing-Kuo Pao (IEEE BigData, 2019)

A Unified Approach on Active Learning Dual Supervision. - Adrian Chriswanto; Hsing-Kuo Pao; Yuh-Jye Lee (IJCNN, 2019)

Dealing with Interleaved Event Inputs for Intrusion Detection. - Hsing-Kuo Pao; Fong-Fuei Lee; Yuh-Jye Lee (J. Inf. Sci. Eng., 2019)

Virtual Adversarial Active Learning. - Chin-Feng Yu; Hsing-Kuo Pao (IEEE BigData, 2020)

Multi-modal, Multi-labeled Sports Highlight Extraction. - Jiabin He; Hsing-Kuo Pao (TAAI, 2020)

Active Learning with Numerical Feature Annotation. - Zhiye Fu; Hsing-Kuo Pao; Jiabin He (IEEE BigData, 2021)

A Dropout Style Model Augmentation for Cross Domain Few-Shot Learning. - Pei-Cheng Tu; Hsing-Kuo Pao (IEEE BigData, 2021)

Mining non-redundant distinguishing subsequence for trip destination forecasting. - Mohammad Iqbal; Hsing-Kuo Pao (Knowl. Based Syst., 2021)

Pseudo slicer on three dimensional brain tumor segmentation. - Mohammad Iqbal; Fitria Urbach; Hsing-Kuo Pao; Anggraini Dwi Sensusiati; Nurul Hidayat; Imam Mukhlash (IEEE Big Data, 2022)

User Behaviour Risk Evaluation in Zero Trust Architecture Environment. - Wawan Yunanto; Hsing-Kuo Pao (WF-IoT, 2022)

Density-Based Prototypical Contrastive Learning on Visual Representations. - Yueh-Lin Chung; Hsing-Kuo Pao (IEEE Big Data, 2023)

Self-supervised Federated Learning for Anomaly Detection. - Tze-Qian Eng; Hsing-Kuo Pao; Chi-Chen Liao (IEEE Big Data, 2023)

Fake News Detection via Sentiment Neutralization. - Hanjuan Huang; Hsuan-Ting Peng; Hsing-Kuo Pao (IEEE Big Data, 2023)

ASAGeR: Automated Short Answer Grading Regressor via Sentence Simplification. - Mohammad Iqbal; Rosita Laili Udhiah; Tsamarah Rana Nugraha; Hsing-Kuo Pao (ICKG, 2023)

Conditional Diffusion Models for Semantic 3D Medical Image Synthesis. - Zolnamar Dorjsembe; Hsing-Kuo Pao; Sodtavilan Odonchimed; Furen Xiao (CoRR, 2023)

Reconsider Time Series Analysis for Insider Threat Detection. - Chia-Cheng Chen; Hsing-Kuo Pao (IEEE Big Data, 2024)

Polyp-DDPM: Diffusion-Based Semantic Polyp Synthesis for Enhanced Segmentation. - Zolnamar Dorjsembe; Hsing-Kuo Pao; Furen Xiao (EMBC, 2024)

Large Language Model Pruning. - Hanjuan Huang; Hao-Jia Song; Hsing-Kuo Pao (CoRR, 2024)

The Z-Curve as an n-Dimensional Hypersphere: Properties and Analysis. - Diego Vazquez Gonzalez; Hsing-Kuo Pao (CoRR, 2024)

Revenue forecasting in smart retail based on customer clustering analysis. - Vahid Golderzahi; Hsing-Kuo Kenneth Pao (Internet Things, 2024)

Mining fuzzy local periodic activity pattern for Smart home applications. - Mohammad Iqbal; Adila Sekarrati Dwi Prayitno; Hsing-Kuo Pao; Imam Mukhlash (Knowl. Based Syst., 2024)

Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis. - Zolnamar Dorjsembe; Hsing-Kuo Pao; Sodtavilan Odonchimed; Furen Xiao (IEEE J. Biomed. Health Informatics, 2024)

Interpretable deep model pruning. - Hanjuan Huang; Hsing-Kuo Pao (Neurocomputing, 2025)

A unified noise and watermark removal from information bottleneck-based modeling. - Hanjuan Huang; Hsing-Kuo Pao (Neural Networks, 2025)