Evaluation of Iceberg Distance Joins. - Yutao Shou; Nikos Mamoulis; Huiping Cao; Dimitris Papadias; David W. Cheung (SSTD, 2003)

Location dependent query in a mobile environment. - Huiping Cao; Shan Wang 001; Lingwei Li (Inf. Sci., 2003)

Mining, indexing, and querying historical spatiotemporal data. - Nikos Mamoulis; Huiping Cao; George Kollios; Marios Hadjieleftheriou; Yufei Tao 001; David W. Cheung (KDD, 2004)

Discovering Partial Periodic Patterns in Discrete Data Sequences. - Huiping Cao; David W. Cheung; Nikos Mamoulis (PAKDD, 2004)

Mining Frequent Spatio-Temporal Sequential Patterns. - Huiping Cao; Nikos Mamoulis; David W. Cheung (ICDM, 2005)

Discovery of Collocation Episodes in Spatiotemporal Data. - Huiping Cao; Nikos Mamoulis; David W. Cheung (ICDM, 2006)

Pattern discovery from spatiotemporal data - Huiping Cao (2006)

Discovery of Periodic Patterns in Spatiotemporal Sequences. - Huiping Cao; Nikos Mamoulis; David W. Cheung (IEEE Trans. Knowl. Data Eng., 2007)

Table summarization with the help of domain lattices. - K. Selçuk Candan; Huiping Cao; Yan Qi 002; Maria Luisa Sapino (CIKM, 2008)

System support for exploration and expert feedback in resolving conflicts during integration of metadata. - K. Selçuk Candan; Huiping Cao; Yan Qi 002; Maria Luisa Sapino (VLDB J., 2008)

Exploring path query results through relevance feedback. - Huiping Cao; Yan Qi 002; K. Selçuk Candan; Maria Luisa Sapino (CIKM, 2009)

AlphaSum: size-constrained table summarization using value lattices. - K. Selçuk Candan; Huiping Cao; Yan Qi 002; Maria Luisa Sapino (EDBT, 2009)

A semantic annotation framework for retrieving and analyzing observational datasets. - Shawn Bowers; Huiping Cao; Mark Schildhauer; Matthew B. Jones; Ben Leinfelder; Margaret O'Brien (ESAIR, 2010)

ObsDB: A System for Uniformly Storing and Querying Heterogeneous Observational Data. - Shawn Bowers; Jay Kudo; Huiping Cao; Mark P. Schildhauer (eScience, 2010)

Feedback-driven result ranking and query refinement for exploring semi-structured data collections. - Huiping Cao; Yan Qi 002; K. Selçuk Candan; Maria Luisa Sapino (EDBT, 2010)

Skynets: searching for minimum trees in graphs with incomparable edge weights. - Huiping Cao; K. Selçuk Candan; Maria Luisa Sapino (CIKM, 2011)

Approaches for Semantically Annotating and Discovering Scientific Observational Data. - Huiping Cao; Shawn Bowers; Mark P. Schildhauer (DEXA (1), 2011)

Discovering Context-aware Influential Objects. - Yangpai Liu; Huiping Cao; Yifan Hao 003; Peng Han; Xinda Zeng (SDM, 2012)

Database Support for Enabling Data-Discovery Queries over Semantically-Annotated Observational Data. - Huiping Cao; Shawn Bowers; Mark P. Schildhauer (Trans. Large Scale Data Knowl. Centered Syst., 2012)

STK-anonymity: k-anonymity of social networks containing both structural and textual information. - Yifan Hao 003; Huiping Cao; Kabi Bhattarai; Satyajayant Misra (DBSocial, 2013)

Determination of Multipath Security Using Efficient Pattern Matching. - James Obert; Huiping Cao (CoRR, 2013)

Dynamically Differentiated Multipath Security in Fixed Bandwidth Networks. - James Obert; Inna Pivkina; Hong Huang; Huiping Cao (MILCOM, 2014)

Detecting Influence Relationships from Graphs. - Chuan Hu; Huiping Cao; Chaomin Ke (SDM, 2014)

An efficient location reporting and indexing framework for urban road moving objects. - Jingyu Han; Kejia Chen 001; Zhiming Ding; Huiping Cao (Distributed Parallel Databases, 2014)

K-anonymity for social networks containing rich structural and textual information. - Yifan Hao 003; Huiping Cao; Chuan Hu; Kabi Bhattarai; Satyajayant Misra (Soc. Netw. Anal. Min., 2014)

Efficient keyword search on graphs using MapReduce. - Yifan Hao 003; Huiping Cao; Yan Qi 002; Chuan Hu; Sukumar Brahma; Jingyu Han (IEEE BigData, 2015)

Discovering time-evolving influence from dynamic heterogeneous graphs. - Chuan Hu; Huiping Cao (IEEE BigData, 2015)

An efficient conjugate gradient method and application to dynamic force reconstruction. - Linjun Wang; Huiping Cao; Xu Han; Jie Liu; Youxiang Xie (J. Comput. Sci., 2015)

On the Use of Off-the-Shelf Machine Learning Techniques to Predict Energy Demands of Power TAC Consumers. - Francisco Natividad; Russell Y. Folk; William Yeoh 001; Huiping Cao (AMEC/TADA, 2016)

Signal features for classification of power system disturbances using PMU data. - Milan Biswal; Yifan Hao 003; Phillip Chen; Sukumar Brahma; Huiping Cao; Phillip L. De Leon (PSCC, 2016)

A partitioned PSB method for partially separable unconstrained optimization problems. - Huiping Cao; Lan Yao (Appl. Math. Comput., 2016)

Proactively applied encryption in multipath networks. - James Obert; Inna Pivkina; Hong Huang; Huiping Cao (Comput. Secur., 2016)

Aspect-Level Influence Discovery from Graphs. - Chuan Hu; Huiping Cao (IEEE Trans. Knowl. Data Eng., 2016)

Efficient Compression of PMU Data in WAMS. - Phani Harsha Gadde; Milan Biswal; Sukumar Brahma; Huiping Cao (IEEE Trans. Smart Grid, 2016)

Sub-Gibbs Sampling: A New Strategy for Inferring LDA. - Chuan Hu; Huiping Cao; Qixu Gong (ICDM, 2017)

On the total signed domination number of the Cartesian product of paths. - Hong Gao 002; Huiping Cao; Yuansheng Yang (Contributions Discret. Math., 2017)

Partitioned quasi-Newton methods for sparse nonlinear equations. - Huiping Cao; Dong-Hui Li (Comput. Optim. Appl., 2017)

On the total signed domination number of Pm [square] Cn. - Hong Gao 002; Huiping Cao; Yuansheng Yang (Ars Comb., 2018)

Skyline Queries Constrained by Multi-cost Transportation Networks. - Qixu Gong; Huiping Cao; Parth Nagarkar (ICDE, 2019)

Recommending Packages of Multi-Criteria Items to Groups. - Edgar Eduardo Ceh-Varela; Huiping Cao (ICWS, 2019)

CSQ System: A System to Support Constrained Skyline Queries on Transportation Networks. - Qixu Gong; Jiefei Liu; Huiping Cao (ICDE, 2020)

A New Attention Mechanism to Classify Multivariate Time Series. - Yifan Hao 003; Huiping Cao (IJCAI, 2020)

CNN Approaches to Classify Multivariate Time Series Using Class-specific Features. - Yifan Hao 003; Huiping Cao; Erick Draayer (SMDS, 2020)

Recommending novel and relevant reviews to expand users' knowledge about a product. - Edgar Eduardo Ceh-Varela; Huiping Cao (WI/IAT, 2020)

Reevaluating the Change Point Detection Problem with Segment-based Bayesian Online Detection. - Erick Draayer; Huiping Cao; Yifan Hao 003 (CIKM, 2021)

Multi-criteria and Review-Based Overall Rating Prediction. - Edgar Eduardo Ceh-Varela; Huiping Cao; Tuan M. V. Le (PAKDD (2), 2021)

A Sparse Quasi-Newton Method Based on Automatic Differentiation for Solving Unconstrained Optimization Problems. - Huiping Cao; Xiaomin An (Symmetry, 2021)

Identify Significant Phenomenon-Specific Variables for Multivariate Time Series. - Yifan Hao 003; Huiping Cao; Abdullah Mueen; Sukumar Brahma (IEEE Trans. Knowl. Data Eng., 2021)

Focused Stochastic Neighbor Embedding for Better Preserving Points of Interest. - Rafael Baez Ramirez; Sanuj Kumar; Tuan M. V. Le; Huiping Cao (BDCAT, 2022)

Backbone Index to Support Skyline Path Queries over Multi-cost Road Networks. - Qixu Gong; Huiping Cao (EDBT, 2022)

Class-Specific Attention (CSA) for Time-Series Classification. - Yifan Hao 003; Huiping Cao; K. Selcuk Candan; Jiefei Liu; Huiying Chen; Ziwei Ma (CoRR, 2022)

Editorial: Hot topic: Reducing operating times and complication rates through robot-assisted surgery. - Daniele Cafolla; Francesco Calimeri; Huiping Cao; Matteo Russo 001; Dominique Sappey-Marinier; Paolo Zaffino (Frontiers Robotics AI, 2022)

A Class of Sparse Direct Broyden Method for Solving Sparse Nonlinear Equations. - Huiping Cao; Jing Han 007 (Symmetry, 2022)

Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups. - Edgar Eduardo Ceh-Varela; Huiping Cao; Hady W. Lauw (ACM Trans. Intell. Syst. Technol., 2022)

Multi-Model-Based Federated Learning to Overcome Local Class Imbalance Issues. - Jiefei Liu; Huiping Cao; Abu Saleh Md Tayeen; Satyajayant Misra; Pratyay Kumar; Jayashree Harikumar (ICMLA, 2023)

FLNET2023: Realistic Network Intrusion Detection Dataset for Federated Learning. - Pratyay Kumar; Jiefei Liu; Abu Saleh Md Tayeen; Satyajayant Misra; Huiping Cao; Jayashree Harikumar; Oscar Perez (MILCOM, 2023)

CAFNet: Compressed Autoencoder-based Federated Network for Anomaly Detection. - Abu Saleh Md Tayeen; Satyajayant Misra; Huiping Cao; Jayashree Harikumar (MILCOM, 2023)

Solving nonlinear equations with a direct Broyden method and its acceleration. - Huiping Cao; Xiaomin An; Jing Han (J. Appl. Math. Comput., 2023)

ASPER: Answer Set Programming Enhanced Neural Network Models for Joint Entity-Relation Extraction. - Trung Hoang Le; Huiping Cao; Tran Cao Son (Theory Pract. Log. Program., 2023)

Towards Uncertainty Quantification for Time Series Segmentation. - Erick Draayer; Huiping Cao (CIKM, 2024)

Backbone Index and GNN Models for Skyline Path Query Evaluation over Multi-cost Road Networks. - Qixu Gong; Huiying Chen; Huiping Cao; Jiefei Liu (ACM Trans. Spatial Algorithms Syst., 2024)

Development of a Novel Classification Approach for Cow Behavior Analysis Using Tracking Data and Unsupervised Machine Learning Techniques. - Jiefei Liu; Derek W. Bailey; Huiping Cao; Tran Cao Son; Colin Tobin (Sensors, 2024)

An LLM + ASP Workflow for Joint Entity-Relation Extraction. - Trang Tran 009; Trung Hoang Le; Huiping Cao; Tran Cao Son (CoRR, 2025)

SLogic: Subgraph-Informed Logical Rule Learning for Knowledge Graph Completion. - Trung Hoang Le; Tran Cao Son; Huiping Cao (CoRR, 2025)