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ORCIDLianhua Chi
Person information
- affiliation: La Trobe University, School of Engineering and Mathematical Sciences, Melbourne, Australia
- affiliation (PhD 2015): University of Technology Sydney, Australia
- affiliation (former): Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China
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2020 – today
- 2024
[j28]Yu Zheng
, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa Tran Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang:
Graph spatiotemporal process for multivariate time series anomaly detection with missing values. Inf. Fusion 106: 102255 (2024)- [j27]Mathias Hoy Talbo, Haishuai Wang, Lianhua Chi, Yi-Ping Phoebe Chen:
Validating Siamese embedded neural networks with identical representations for efficient model convergence. Knowl. Based Syst. 286: 111379 (2024) - [j26]Boxiang Zhao, Shuliang Wang, Lianhua Chi, Hanning Yuan, Ye Yuan, Qi Li, Jing Geng, Shao-Liang Zhang:
Coresets for fast causal discovery with the additive noise model. Pattern Recognit. 148: 110149 (2024) - [j25]Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang:
Correlation-Aware Spatial-Temporal Graph Learning for Multivariate Time-Series Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11802-11816 (2024) - [i9]Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa Tran Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang:
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values. CoRR abs/2401.05800 (2024) - 2023
- [j24]Syed Qasim Abbas, Lianhua Chi, Yi-Ping Phoebe Chen:
DeepMNF: Deep Multimodal Neuroimaging Framework for Diagnosing Autism Spectrum Disorder. Artif. Intell. Medicine 136: 102475 (2023) - [j23]Dinh Duc Nha Nguyen, Keshav Sood, Yong Xiang, Longxiang Gao, Lianhua Chi, Shui Yu:
Toward IoT Node Authentication Mechanism in Next Generation Networks. IEEE Internet Things J. 10(15): 13333-13341 (2023) - [j22]Amanjeet Singh Bhatia, Rado Kotorov, Lianhua Chi:
Casting plate defect detection using motif discovery with minimal model training and small data sets. J. Intell. Manuf. 34(4): 1731-1742 (2023) - [j21]Le Fang, Wei Xiang, Yuan Zhou, Juan Fang, Lianhua Chi, Zongyuan Ge:
Dual-branch cross-dimensional self-attention-based imputation model for multivariate time series. Knowl. Based Syst. 279: 110896 (2023) - [j20]Syed Qasim Abbas, Lianhua Chi, Yi-Ping Phoebe Chen:
Transformed domain convolutional neural network for Alzheimer's disease diagnosis using structural MRI. Pattern Recognit. 133: 109031 (2023) - [j19]Lu Yu, Wei Xiang, Juan Fang, Yi-Ping Phoebe Chen, Lianhua Chi:
eX-ViT: A Novel explainable vision transformer for weakly supervised semantic segmentation. Pattern Recognit. 142: 109666 (2023) - [j18]Zongmin Cui, Zhixing Lu, Laurence T. Yang, Jing Yu, Lianhua Chi, Yan Xiao, Shunli Zhang:
Privacy and Accuracy for Cloud-Fog-Edge Collaborative Driver-Vehicle-Road Relation Graphs. IEEE Trans. Intell. Transp. Syst. 24(8): 8749-8761 (2023) - [j17]Jiaying Liu, Feng Xia, Jing Ren, Bo Xu, Guansong Pang, Lianhua Chi:
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks. ACM Trans. Knowl. Discov. Data 17(4): 55:1-55:24 (2023) - [j16]Boxiang Zhao, Shuliang Wang, Lianhua Chi, Qi Li, Xiaojia Liu, Jing Geng:
Causal Discovery via Causal Star Graphs. ACM Trans. Knowl. Discov. Data 17(7): 98:1-98:24 (2023) - [j15]Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Yi-Ping Phoebe Chen:
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. IEEE Trans. Knowl. Data Eng. 35(12): 12220-12233 (2023) - [j14]Boxiang Zhao, Shuliang Wang, Lianhua Chi, Chuanfeng Zhao, Hanning Yuan, Qi Li, Xiaojia Liu, Jing Geng, Ye Yuan:
HANM: Hierarchical Additive Noise Model for Many-to-One Causality Discovery. IEEE Trans. Knowl. Data Eng. 35(12): 12708-12720 (2023) - [c17]Adnan Ahmad, Vinh Loi Chau, Antonio Robles-Kelly, Shang Gao, Longxiang Gao, Lianhua Chi, Wei Luo:
Bio-Inspired Dual-Network Model to Tackle Statistical Heterogeneity in Federated Learning. IJCNN 2023: 1-8 - [i8]Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang:
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection. CoRR abs/2307.08390 (2023) - [i7]Wenjie Liu, Yong Xu, James C. N. Yang, Wen-Bin Yu, Lian-Hua Chi:
Privacy-Preserving Quantum Two-Party Geometric Intersection. CoRR abs/2309.12605 (2023) - 2022
- [j13]Linh Tran, Alessio Bonti, Lianhua Chi, Mohamed Abdelrazek, Yi-Ping Phoebe Chen:
Advanced calibration of mortality prediction on cardiovascular disease using feature-based artificial neural network. Expert Syst. Appl. 203: 117393 (2022) - [j12]Dinh Duc Nha Nguyen, Keshav Sood, Mohammad Reza Nosouhi, Yong Xiang, Longxiang Gao, Lianhua Chi:
RF Fingerprinting-Based IoT Node Authentication Using Mahalanobis Distance Correlation Theory. IEEE Netw. Lett. 4(2): 78-81 (2022) - [j11]Haishuai Wang, Guangyu Tao, Jiali Ma, Shangru Jia, Lianhua Chi, Hong Yang, Ziping Zhao, Jianhua Tao:
Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks. IEEE J. Sel. Top. Signal Process. 16(2): 276-288 (2022) - [j10]Shuliang Wang, Xiaorui Qin, Lianhua Chi:
HashWalk: An efficient node classification method based on clique-compressed graph embedding. Pattern Recognit. Lett. 156: 133-141 (2022) - [c16]Dinh Duc Nha Nguyen, Keshav Sood, Yong Xiang, Longxiang Gao, Lianhua Chi:
Impersonation Attack Detection in IoT Networks. GLOBECOM 2022: 6061-6066 - [i6]Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen:
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach. CoRR abs/2202.05525 (2022) - [i5]Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia:
Web of Scholars: A Scholar Knowledge Graph. CoRR abs/2202.11311 (2022) - [i4]Lu Yu, Wei Xiang, Juan Fang, Yi-Ping Phoebe Chen, Lianhua Chi:
eX-ViT: A Novel eXplainable Vision Transformer for Weakly Supervised Semantic Segmentation. CoRR abs/2207.05358 (2022) - 2021
- [c15]Ming Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan:
ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. CIKM 2021: 3122-3126 - [c14]Shiyu Han, Jiaying Liu, Bo Xu, Lianhua Chi, Ching-Hsien Hsu:
Network Completion with Auto-regressive Graph Generative Model. WI/IAT (Workshop/Special Session) 2021: 45-53 - [i3]Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Yi-Ping Phoebe Chen:
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. CoRR abs/2108.09896 (2021) - 2020
- [j9]Ming Jin, Mei Li, Yu Zheng, Lianhua Chi:
Searching Correlated Patterns From Graph Streams. IEEE Access 8: 106690-106704 (2020) - [j8]Zongyuan Ge, Dwarikanath Mahapatra, Xiaojun Chang, Zetao Chen, Lianhua Chi, Huimin Lu:
Improving multi-label chest X-ray disease diagnosis by exploiting disease and health labels dependencies. Multim. Tools Appl. 79(21-22): 14889-14902 (2020) - [c13]Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia:
Web of Scholars: A Scholar Knowledge Graph. SIGIR 2020: 2153-2156 - [i2]Wenjie Liu, Zhen-Yu Chen, Jin-Suo Liu, Zhao-Feng Su, Lian-Hua Chi:
Full-Blind Delegating Private Quantum Computation. CoRR abs/2002.00464 (2020)
2010 – 2019
- 2019
- [c12]Haishuai Wang, Li Li, Lianhua Chi, Ziping Zhao:
Autism Screening Using Deep Embedding Representation. ICCS (2) 2019: 160-173 - 2018
- [j7]Yu Zheng, Jiezhong Zhu, Wei Fang, Lian-Hua Chi:
Deep Learning Hash for Wireless Multimedia Image Content Security. Secur. Commun. Networks 2018: 8172725:1-8172725:13 (2018) - [j6]Lianhua Chi, Bin Li, Xingquan Zhu, Shirui Pan, Ling Chen:
Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts. IEEE Trans. Cybern. 48(5): 1591-1604 (2018) - [e1]Yee Ling Boo, David Stirling, Lianhua Chi, Lin Liu, Kok-Leong Ong, Graham Williams:
Data Mining - 15th Australasian Conference, AusDM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers. Communications in Computer and Information Science 845, Springer 2018, ISBN 978-981-13-0291-6 [contents] - 2017
- [j5]Lianhua Chi, Xingquan Zhu:
Hashing Techniques: A Survey and Taxonomy. ACM Comput. Surv. 50(1): 11:1-11:36 (2017) - [c11]Jey Han Lau, Lianhua Chi, Khoi-Nguyen Tran, Trevor Cohn:
End-to-end Network for Twitter Geolocation Prediction and Hashing. IJCNLP(1) 2017: 744-753 - [i1]Jey Han Lau, Lianhua Chi, Khoi-Nguyen Tran, Trevor Cohn:
End-to-end Network for Twitter Geolocation Prediction and Hashing. CoRR abs/1710.04802 (2017) - 2016
- [j4]Zongmin Cui, Hong Zhu, Jie Shi, Lianhua Chi, Ke Yan:
Efficient authorisation update on cloud data. Int. J. Web Grid Serv. 12(2): 109-141 (2016) - [c10]Bo Han, Antonio Jimeno-Yepes, Andrew MacKinlay, Lianhua Chi:
Temporal Modelling of Geospatial Words in Twitter. ALTA 2016: 133-137 - [c9]Lianhua Chi, Kwan Hui Lim, Nebula Alam, Christopher J. Butler:
Geolocation Prediction in Twitter Using Location Indicative Words and Textual Features. NUT@COLING 2016: 227-234 - [c8]Lianhua Chi, Saket Sathe, Bo Han, Yun Wang:
A Novel Method for Assessing Event Impacts on Event-Driven Time Series. ICDM Workshops 2016: 519-526 - 2015
- [b1]Lianhua Chi:
Hashing for large-scale structured data classification. University of Technology Sydney, Australia, 2015 - 2014
- [c7]Lianhua Chi, Bin Li, Xingquan Zhu:
Context-Preserving Hashing for Fast Text Classification. SDM 2014: 100-108 - 2013
- [j3]Zongmin Cui, Hong Zhu, Lianhua Chi:
Lightweight key management on sensitive data in the cloud. Secur. Commun. Networks 6(10): 1290-1299 (2013) - [c6]Ting Guo, Lianhua Chi, Xingquan Zhu:
Graph hashing and factorization for fast graph stream classification. CIKM 2013: 1607-1612 - [c5]Zongmin Cui, Hong Zhu, Jie Shi, Lianhua Chi, Ke Yan:
Lightweight Management of Authorization Update on Cloud Data. ICPADS 2013: 456-461 - [c4]Lianhua Chi, Bin Li, Xingquan Zhu:
Fast Graph Stream Classification Using Discriminative Clique Hashing. PAKDD (1) 2013: 225-236 - 2012
- [c3]Lianhua Chi, Yucai Feng, Hehua Chi, Ying Huang:
Face image recognition based on time series motif discovery. GrC 2012: 72-77 - [c2]Yucai Feng, Lianhua Chi, Hehua Chi, Chuanlu Liu, Zhuo Liu:
QoM: An effective querying method for time series database. GrC 2012: 129-134 - [c1]Bin Li, Xingquan Zhu, Lianhua Chi, Chengqi Zhang:
Nested Subtree Hash Kernels for Large-Scale Graph Classification over Streams. ICDM 2012: 399-408 - 2011
- [j2]Juebo Wu, Hehua Chi, Lianhua Chi:
A Cloud Model-based Approach for Facial Expression Synthesis. J. Multim. 6(2): 217-224 (2011) - [j1]Lian-hua Chi, He-hua Chi, Yucai Feng, Shuliang Wang, Zhong-sheng Cao:
Comprehensive and efficient discovery of time series motifs. J. Zhejiang Univ. Sci. C 12(12): 1000-1009 (2011)
Coauthor Index
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last updated on 2024-11-15 20:39 CET by the dblp team
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