Lianhua Chi

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 40

Top Topics

Multivariate Time Series

Anomaly Detection

Semantic Segmentation

Disease Diagnosis

Top Venues

Pattern Recognit.

ACM Trans. Knowl. Discov. Data

IEEE Trans. Knowl. Data Eng.

Publications

Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa T. Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2023)
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) (2023)
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 (2023)
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) (2023)
Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa T. Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection. CoRR (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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)
Syed Qasim Abbas, Lianhua Chi, Yi-Ping Phoebe Chen
DeepMNF: Deep Multimodal Neuroimaging Framework for Diagnosing Autism Spectrum Disorder. Artif. Intell. Medicine 136 (2023)
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 (2023)
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) (2023)
Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa T. Phan, Shirui Pan, Yi-Ping Phoebe Chen
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach. CoRR (2022)
Shuliang Wang, Xiaorui Qin, Lianhua Chi
HashWalk: An efficient node classification method based on clique-compressed graph embedding. Pattern Recognit. Lett. 156 (2022)
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 (2022)
Dinh Duc Nha Nguyen, Keshav Sood, Yong Xiang, Longxiang Gao, Lianhua Chi
Impersonation Attack Detection in IoT Networks. GLOBECOM (2022)
Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia
Web of Scholars: A Scholar Knowledge Graph. CoRR (2022)
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) (2022)
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) (2022)
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 (2022)
Ming Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan
ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. CIKM (2021)
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)
Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa T. Phan, Yi-Ping Phoebe Chen
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. CoRR (2021)
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) (2020)
Ming Jin, Mei Li, Yu Zheng, Lianhua Chi
Searching Correlated Patterns From Graph Streams. IEEE Access 8 (2020)
Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia
Web of Scholars: A Scholar Knowledge Graph. SIGIR (2020)
Haishuai Wang, Li Li, Lianhua Chi, Ziping Zhao
Autism Screening Using Deep Embedding Representation. ICCS (2) (2019)
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) (2018)
Jey Han Lau, Lianhua Chi, Khoi-Nguyen Tran, Trevor Cohn
End-to-end Network for Twitter Geolocation Prediction and Hashing. CoRR (2017)
Jey Han Lau, Lianhua Chi, Khoi-Nguyen Tran, Trevor Cohn
End-to-end Network for Twitter Geolocation Prediction and Hashing. IJCNLP(1) (2017)
Lianhua Chi, Xingquan Zhu
Hashing Techniques: A Survey and Taxonomy. ACM Comput. Surv. 50 (1) (2017)
Lianhua Chi, Saket Sathe, Bo Han, Yun Wang
A Novel Method for Assessing Event Impacts on Event-Driven Time Series. ICDM Workshops (2016)
Bo Han, Antonio Jimeno-Yepes, Andrew MacKinlay, Lianhua Chi
Temporal Modelling of Geospatial Words in Twitter. ALTA (2016)
Lianhua Chi, Kwan Hui Lim, Nebula Alam, Christopher J. Butler
Geolocation Prediction in Twitter Using Location Indicative Words and Textual Features. NUT@COLING (2016)
Zongmin Cui, Hong Zhu, Jie Shi, Lianhua Chi, Ke Yan
Efficient authorisation update on cloud data. Int. J. Web Grid Serv. 12 (2) (2016)
Lianhua Chi, Bin Li, Xingquan Zhu
Context-Preserving Hashing for Fast Text Classification. SDM (2014)
Ting Guo, Lianhua Chi, Xingquan Zhu
Graph hashing and factorization for fast graph stream classification. CIKM (2013)
Zongmin Cui, Hong Zhu, Jie Shi, Lianhua Chi, Ke Yan
Lightweight Management of Authorization Update on Cloud Data. ICPADS (2013)
Lianhua Chi, Bin Li, Xingquan Zhu
Fast Graph Stream Classification Using Discriminative Clique Hashing. PAKDD (1) (2013)
Zongmin Cui, Hong Zhu, Lianhua Chi
Lightweight key management on sensitive data in the cloud. Secur. Commun. Networks 6 (10) (2013)
Yucai Feng, Lianhua Chi, Hehua Chi, Chuanlu Liu, Zhuo Liu
QoM: An effective querying method for time series database. GrC (2012)
Lianhua Chi, Yucai Feng, Hehua Chi, Ying Huang
Face image recognition based on time series motif discovery. GrC (2012)
Bin Li, Xingquan Zhu, Lianhua Chi, Chengqi Zhang
Nested Subtree Hash Kernels for Large-Scale Graph Classification over Streams. ICDM (2012)
Juebo Wu, Hehua Chi, Lianhua Chi
A Cloud Model-based Approach for Facial Expression Synthesis. J. Multim. 6 (2) (2011)