Lianhua Chi

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Coresets for fast causal discovery with the additive noise model.
Pattern Recognit., April, 2024

Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values.
CoRR, 2024

2023
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection.
IEEE Trans. Knowl. Data Eng., December, 2023

HANM: Hierarchical Additive Noise Model for Many-to-One Causality Discovery.
IEEE Trans. Knowl. Data Eng., December, 2023

Dual-branch cross-dimensional self-attention-based imputation model for multivariate time series.
Knowl. Based Syst., November, 2023

eX-ViT: A Novel explainable vision transformer for weakly supervised semantic segmentation.
Pattern Recognit., October, 2023

Privacy and Accuracy for Cloud-Fog-Edge Collaborative Driver-Vehicle-Road Relation Graphs.
IEEE Trans. Intell. Transp. Syst., August, 2023

Toward IoT Node Authentication Mechanism in Next Generation Networks.
IEEE Internet Things J., August, 2023

MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks.
ACM Trans. Knowl. Discov. Data, May, 2023

Casting plate defect detection using motif discovery with minimal model training and small data sets.
J. Intell. Manuf., April, 2023

DeepMNF: Deep Multimodal Neuroimaging Framework for Diagnosing Autism Spectrum Disorder.
Artif. Intell. Medicine, February, 2023

Causal Discovery via Causal Star Graphs.
ACM Trans. Knowl. Discov. Data, 2023

Transformed domain convolutional neural network for Alzheimer's disease diagnosis using structural MRI.
Pattern Recognit., 2023

Privacy-Preserving Quantum Two-Party Geometric Intersection.
CoRR, 2023

Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection.
CoRR, 2023

Bio-Inspired Dual-Network Model to Tackle Statistical Heterogeneity in Federated Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
HashWalk: An efficient node classification method based on clique-compressed graph embedding.
Pattern Recognit. Lett., 2022

Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks.
IEEE J. Sel. Top. Signal Process., 2022

RF Fingerprinting-Based IoT Node Authentication Using Mahalanobis Distance Correlation Theory.
IEEE Netw. Lett., 2022

Advanced calibration of mortality prediction on cardiovascular disease using feature-based artificial neural network.
Expert Syst. Appl., 2022

eX-ViT: A Novel eXplainable Vision Transformer for Weakly Supervised Semantic Segmentation.
CoRR, 2022

From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach.
CoRR, 2022

Impersonation Attack Detection in IoT Networks.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection.
CoRR, 2021

Network Completion with Auto-regressive Graph Generative Model.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Improving multi-label chest X-ray disease diagnosis by exploiting disease and health labels dependencies.
Multim. Tools Appl., 2020

Full-Blind Delegating Private Quantum Computation.
CoRR, 2020

Searching Correlated Patterns From Graph Streams.
IEEE Access, 2020

Web of Scholars: A Scholar Knowledge Graph.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019
Autism Screening Using Deep Embedding Representation.
Proceedings of the Computational Science - ICCS 2019, 2019

2018
Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts.
IEEE Trans. Cybern., 2018

Deep Learning Hash for Wireless Multimedia Image Content Security.
Secur. Commun. Networks, 2018

2017
Hashing Techniques: A Survey and Taxonomy.
ACM Comput. Surv., 2017

End-to-end Network for Twitter Geolocation Prediction and Hashing.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

2016
Efficient authorisation update on cloud data.
Int. J. Web Grid Serv., 2016

A Novel Method for Assessing Event Impacts on Event-Driven Time Series.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Geolocation Prediction in Twitter Using Location Indicative Words and Textual Features.
Proceedings of the 2nd Workshop on Noisy User-generated Text, 2016

Temporal Modelling of Geospatial Words in Twitter.
Proceedings of the Australasian Language Technology Association Workshop 2016, Melbourne, Australia, December 5, 2016

2015
Hashing for large-scale structured data classification
PhD thesis, 2015

2014
Context-Preserving Hashing for Fast Text Classification.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

2013
Lightweight key management on sensitive data in the cloud.
Secur. Commun. Networks, 2013

Fast Graph Stream Classification Using Discriminative Clique Hashing.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Lightweight Management of Authorization Update on Cloud Data.
Proceedings of the 19th IEEE International Conference on Parallel and Distributed Systems, 2013

Graph hashing and factorization for fast graph stream classification.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Nested Subtree Hash Kernels for Large-Scale Graph Classification over Streams.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

QoM: An effective querying method for time series database.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Face image recognition based on time series motif discovery.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

2011
Comprehensive and efficient discovery of time series motifs.
J. Zhejiang Univ. Sci. C, 2011

A Cloud Model-based Approach for Facial Expression Synthesis.
J. Multim., 2011


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