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Huiping Cao
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2020 – today
- 2024
- [j23]Jiefei Liu, Derek W. Bailey, Huiping Cao, Tran Cao Son, Colin Tobin:
Development of a Novel Classification Approach for Cow Behavior Analysis Using Tracking Data and Unsupervised Machine Learning Techniques. Sensors 24(13): 4067 (2024) - [j22]Qixu Gong, Huiying Chen, Huiping Cao, Jiefei Liu:
Backbone Index and GNN Models for Skyline Path Query Evaluation over Multi-cost Road Networks. ACM Trans. Spatial Algorithms Syst. 10(4): 1-45 (2024) - [c36]Erick Draayer, Huiping Cao:
Towards Uncertainty Quantification for Time Series Segmentation. CIKM 2024: 519-528 - 2023
- [j21]Huiping Cao, Xiaomin An, Jing Han:
Solving nonlinear equations with a direct Broyden method and its acceleration. J. Appl. Math. Comput. 69(2): 1917-1944 (2023) - [j20]Trung Hoang Le, Huiping Cao, Tran Cao Son:
ASPER: Answer Set Programming Enhanced Neural Network Models for Joint Entity-Relation Extraction. Theory Pract. Log. Program. 23(4): 765-781 (2023) - [c35]Jiefei Liu, Huiping Cao, Abu Saleh Md Tayeen, Satyajayant Misra, Pratyay Kumar, Jayashree Harikumar:
Multi-Model-Based Federated Learning to Overcome Local Class Imbalance Issues. ICMLA 2023: 265-270 - [c34]Abu Saleh Md Tayeen, Satyajayant Misra, Huiping Cao, Jayashree Harikumar:
CAFNet: Compressed Autoencoder-based Federated Network for Anomaly Detection. MILCOM 2023: 325-330 - [c33]Pratyay Kumar, Jiefei Liu, Abu Saleh Md Tayeen, Satyajayant Misra, Huiping Cao, Jayashree Harikumar, Oscar Perez:
FLNET2023: Realistic Network Intrusion Detection Dataset for Federated Learning. MILCOM 2023: 345-350 - [i3]Trung Hoang Le, Huiping Cao, Tran Cao Son:
ASPER: Answer Set Programming Enhanced Neural Network Models for Joint Entity-Relation Extraction. CoRR abs/2305.15374 (2023) - 2022
- [j19]Daniele Cafolla, Francesco Calimeri, Huiping Cao, Matteo Russo, Dominique Sappey-Marinier, Paolo Zaffino:
Editorial: Hot topic: Reducing operating times and complication rates through robot-assisted surgery. Frontiers Robotics AI 9 (2022) - [j18]Huiping Cao, Jing Han:
A Class of Sparse Direct Broyden Method for Solving Sparse Nonlinear Equations. Symmetry 14(8): 1552 (2022) - [j17]Edgar Eduardo Ceh-Varela, Huiping Cao, Hady W. Lauw:
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups. ACM Trans. Intell. Syst. Technol. 13(6): 98:1-98:26 (2022) - [c32]Rafael Baez Ramirez, Sanuj Kumar, Tuan M. V. Le, Huiping Cao:
Focused Stochastic Neighbor Embedding for Better Preserving Points of Interest. BDCAT 2022: 259-264 - [c31]Qixu Gong, Huiping Cao:
Backbone Index to Support Skyline Path Queries over Multi-cost Road Networks. EDBT 2022: 2:325-2:337 - [i2]Yifan Hao, Huiping Cao, K. Selcuk Candan, Jiefei Liu, Huiying Chen, Ziwei Ma:
Class-Specific Attention (CSA) for Time-Series Classification. CoRR abs/2211.10609 (2022) - 2021
- [j16]Huiping Cao, Xiaomin An:
A Sparse Quasi-Newton Method Based on Automatic Differentiation for Solving Unconstrained Optimization Problems. Symmetry 13(11): 2093 (2021) - [j15]Yifan Hao, Huiping Cao, Abdullah Mueen, Sukumar Brahma:
Identify Significant Phenomenon-Specific Variables for Multivariate Time Series. IEEE Trans. Knowl. Data Eng. 33(3): 1019-1031 (2021) - [c30]Erick Draayer, Huiping Cao, Yifan Hao:
Reevaluating the Change Point Detection Problem with Segment-based Bayesian Online Detection. CIKM 2021: 2989-2993 - [c29]Edgar Eduardo Ceh-Varela, Huiping Cao, Tuan M. V. Le:
Multi-criteria and Review-Based Overall Rating Prediction. PAKDD (2) 2021: 473-484 - 2020
- [c28]Qixu Gong, Jiefei Liu, Huiping Cao:
CSQ System: A System to Support Constrained Skyline Queries on Transportation Networks. ICDE 2020: 1746-1749 - [c27]Yifan Hao, Huiping Cao:
A New Attention Mechanism to Classify Multivariate Time Series. IJCAI 2020: 1999-2005 - [c26]Yifan Hao, Huiping Cao, Erick Draayer:
CNN Approaches to Classify Multivariate Time Series Using Class-specific Features. SMDS 2020: 1-8 - [c25]Edgar Eduardo Ceh-Varela, Huiping Cao:
Recommending novel and relevant reviews to expand users' knowledge about a product. WI/IAT 2020: 195-202
2010 – 2019
- 2019
- [c24]Qixu Gong, Huiping Cao, Parth Nagarkar:
Skyline Queries Constrained by Multi-cost Transportation Networks. ICDE 2019: 926-937 - [c23]Edgar Eduardo Ceh-Varela, Huiping Cao:
Recommending Packages of Multi-Criteria Items to Groups. ICWS 2019: 273-282 - 2018
- [j14]Hong Gao, Huiping Cao, Yuansheng Yang:
On the total signed domination number of Pm [square] Cn. Ars Comb. 136: 3-19 (2018) - 2017
- [j13]Hong Gao, Huiping Cao, Yuansheng Yang:
On the total signed domination number of the Cartesian product of paths. Contributions Discret. Math. 12(2) (2017) - [j12]Huiping Cao, Dong-Hui Li:
Partitioned quasi-Newton methods for sparse nonlinear equations. Comput. Optim. Appl. 66(3): 481-505 (2017) - [c22]Chuan Hu, Huiping Cao, Qixu Gong:
Sub-Gibbs Sampling: A New Strategy for Inferring LDA. ICDM 2017: 907-912 - 2016
- [j11]Huiping Cao, Lan Yao:
A partitioned PSB method for partially separable unconstrained optimization problems. Appl. Math. Comput. 290: 164-177 (2016) - [j10]James Obert, Inna Pivkina, Hong Huang, Huiping Cao:
Proactively applied encryption in multipath networks. Comput. Secur. 58: 106-124 (2016) - [j9]Chuan Hu, Huiping Cao:
Aspect-Level Influence Discovery from Graphs. IEEE Trans. Knowl. Data Eng. 28(7): 1635-1649 (2016) - [j8]Phani Harsha Gadde, Milan Biswal, Sukumar Brahma, Huiping Cao:
Efficient Compression of PMU Data in WAMS. IEEE Trans. Smart Grid 7(5): 2406-2413 (2016) - [c21]Francisco Natividad, Russell Y. Folk, William Yeoh, Huiping Cao:
On the Use of Off-the-Shelf Machine Learning Techniques to Predict Energy Demands of Power TAC Consumers. AMEC/TADA 2016: 112-126 - [c20]Milan Biswal, Yifan Hao, Phillip Chen, Sukumar Brahma, Huiping Cao, Phillip L. De Leon:
Signal features for classification of power system disturbances using PMU data. PSCC 2016: 1-7 - [e1]Huiping Cao, Jinyan Li, Ruili Wang:
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF Auckland, New Zealand, April 19, 2016, Revised Selected Papers. Lecture Notes in Computer Science 9794, Springer 2016, ISBN 978-3-319-42995-3 [contents] - 2015
- [j7]Linjun Wang, Huiping Cao, Xu Han, Jie Liu, Youxiang Xie:
An efficient conjugate gradient method and application to dynamic force reconstruction. J. Comput. Sci. 8: 101-108 (2015) - [c19]Chuan Hu, Huiping Cao:
Discovering time-evolving influence from dynamic heterogeneous graphs. IEEE BigData 2015: 2253-2262 - [c18]Yifan Hao, Huiping Cao, Yan Qi, Chuan Hu, Sukumar Brahma, Jingyu Han:
Efficient keyword search on graphs using MapReduce. IEEE BigData 2015: 2871-2873 - 2014
- [j6]Jingyu Han, Kejia Chen, Zhiming Ding, Huiping Cao:
An efficient location reporting and indexing framework for urban road moving objects. Distributed Parallel Databases 32(2): 271-311 (2014) - [j5]Yifan Hao, Huiping Cao, Chuan Hu, Kabi Bhattarai, Satyajayant Misra:
K-anonymity for social networks containing rich structural and textual information. Soc. Netw. Anal. Min. 4(1): 223 (2014) - [c17]James Obert, Inna Pivkina, Hong Huang, Huiping Cao:
Dynamically Differentiated Multipath Security in Fixed Bandwidth Networks. MILCOM 2014: 88-93 - [c16]Chuan Hu, Huiping Cao, Chaomin Ke:
Detecting Influence Relationships from Graphs. SDM 2014: 821-829 - 2013
- [c15]Yifan Hao, Huiping Cao, Kabi Bhattarai, Satyajayant Misra:
STK-anonymity: k-anonymity of social networks containing both structural and textual information. DBSocial 2013: 19-24 - [i1]James Obert, Huiping Cao:
Determination of Multipath Security Using Efficient Pattern Matching. CoRR abs/1311.3716 (2013) - 2012
- [j4]Huiping Cao, Shawn Bowers, Mark P. Schildhauer:
Database Support for Enabling Data-Discovery Queries over Semantically-Annotated Observational Data. Trans. Large Scale Data Knowl. Centered Syst. 6: 198-228 (2012) - [c14]Yangpai Liu, Huiping Cao, Yifan Hao, Peng Han, Xinda Zeng:
Discovering Context-aware Influential Objects. SDM 2012: 780-791 - 2011
- [c13]Huiping Cao, K. Selçuk Candan, Maria Luisa Sapino:
Skynets: searching for minimum trees in graphs with incomparable edge weights. CIKM 2011: 1775-1784 - [c12]Huiping Cao, Shawn Bowers, Mark P. Schildhauer:
Approaches for Semantically Annotating and Discovering Scientific Observational Data. DEXA (1) 2011: 526-541 - 2010
- [c11]Shawn Bowers, Huiping Cao, Mark Schildhauer, Matthew B. Jones, Ben Leinfelder, Margaret O'Brien:
A semantic annotation framework for retrieving and analyzing observational datasets. ESAIR 2010: 31-32 - [c10]Shawn Bowers, Jay Kudo, Huiping Cao, Mark P. Schildhauer:
ObsDB: A System for Uniformly Storing and Querying Heterogeneous Observational Data. eScience 2010: 261-268 - [c9]Huiping Cao, Yan Qi, K. Selçuk Candan, Maria Luisa Sapino:
Feedback-driven result ranking and query refinement for exploring semi-structured data collections. EDBT 2010: 3-14
2000 – 2009
- 2009
- [c8]Huiping Cao, Yan Qi, K. Selçuk Candan, Maria Luisa Sapino:
Exploring path query results through relevance feedback. CIKM 2009: 1959-1962 - [c7]K. Selçuk Candan, Huiping Cao, Yan Qi, Maria Luisa Sapino:
AlphaSum: size-constrained table summarization using value lattices. EDBT 2009: 96-107 - 2008
- [j3]K. Selçuk Candan, Huiping Cao, Yan Qi, Maria Luisa Sapino:
System support for exploration and expert feedback in resolving conflicts during integration of metadata. VLDB J. 17(6): 1407-1444 (2008) - [c6]K. Selçuk Candan, Huiping Cao, Yan Qi, Maria Luisa Sapino:
Table summarization with the help of domain lattices. CIKM 2008: 1473-1474 - 2007
- [j2]Huiping Cao, Nikos Mamoulis, David W. Cheung:
Discovery of Periodic Patterns in Spatiotemporal Sequences. IEEE Trans. Knowl. Data Eng. 19(4): 453-467 (2007) - 2006
- [b1]Huiping Cao:
Pattern discovery from spatiotemporal data. University of Hong Kong, 2006 - [c5]Huiping Cao, Nikos Mamoulis, David W. Cheung:
Discovery of Collocation Episodes in Spatiotemporal Data. ICDM 2006: 823-827 - 2005
- [c4]Huiping Cao, Nikos Mamoulis, David W. Cheung:
Mining Frequent Spatio-Temporal Sequential Patterns. ICDM 2005: 82-89 - 2004
- [c3]Nikos Mamoulis, Huiping Cao, George Kollios, Marios Hadjieleftheriou, Yufei Tao, David W. Cheung:
Mining, indexing, and querying historical spatiotemporal data. KDD 2004: 236-245 - [c2]Huiping Cao, David W. Cheung, Nikos Mamoulis:
Discovering Partial Periodic Patterns in Discrete Data Sequences. PAKDD 2004: 653-658 - 2003
- [j1]Huiping Cao, Shan Wang, Lingwei Li:
Location dependent query in a mobile environment. Inf. Sci. 154(1-2): 71-83 (2003) - [c1]Yutao Shou, Nikos Mamoulis, Huiping Cao, Dimitris Papadias, David W. Cheung:
Evaluation of Iceberg Distance Joins. SSTD 2003: 270-288
Coauthor Index
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last updated on 2024-12-02 22:32 CET by the dblp team
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