A Cloud Model-based Approach for Facial Expression Synthesis. - Juebo Wu; Hehua Chi; Lianhua Chi (J. Multim., 2011)

Comprehensive and efficient discovery of time series motifs. - Lian-hua Chi; He-hua Chi; Yucai Feng; Shuliang Wang 001; Zhong-sheng Cao (J. Zhejiang Univ. Sci. C, 2011)

Face image recognition based on time series motif discovery. - Lianhua Chi; Yucai Feng; Hehua Chi; Ying Huang (GrC, 2012)

QoM: An effective querying method for time series database. - Yucai Feng; Lianhua Chi; Hehua Chi; Chuanlu Liu; Zhuo Liu (GrC, 2012)

Nested Subtree Hash Kernels for Large-Scale Graph Classification over Streams. - Bin Li 015; Xingquan Zhu 001; Lianhua Chi; Chengqi Zhang (ICDM, 2012)

Graph hashing and factorization for fast graph stream classification. - Ting Guo; Lianhua Chi; Xingquan Zhu 001 (CIKM, 2013)

Lightweight Management of Authorization Update on Cloud Data. - Zongmin Cui; Hong Zhu 003; Jie Shi; Lianhua Chi; Ke Yan (ICPADS, 2013)

Fast Graph Stream Classification Using Discriminative Clique Hashing. - Lianhua Chi; Bin Li 015; Xingquan Zhu 001 (PAKDD (1), 2013)

Lightweight key management on sensitive data in the cloud. - Zongmin Cui; Hong Zhu 003; Lianhua Chi (Secur. Commun. Networks, 2013)

Context-Preserving Hashing for Fast Text Classification. - Lianhua Chi; Bin Li 015; Xingquan Zhu 001 (SDM, 2014)

Hashing for large-scale structured data classification - Lianhua Chi (2015)

Temporal Modelling of Geospatial Words in Twitter. - Bo Han 002; Antonio Jimeno-Yepes; Andrew MacKinlay; Lianhua Chi (ALTA, 2016)

Geolocation Prediction in Twitter Using Location Indicative Words and Textual Features. - Lianhua Chi; Kwan Hui Lim 001; Nebula Alam; Christopher J. Butler (NUT@COLING, 2016)

A Novel Method for Assessing Event Impacts on Event-Driven Time Series. - Lianhua Chi; Saket Sathe 001; Bo Han 002; Yun Wang (ICDM Workshops, 2016)

Efficient authorisation update on cloud data. - Zongmin Cui; Hong Zhu 003; Jie Shi; Lianhua Chi; Ke Yan (Int. J. Web Grid Serv., 2016)

End-to-end Network for Twitter Geolocation Prediction and Hashing. - Jey Han Lau; Lianhua Chi; Khoi-Nguyen Tran; Trevor Cohn (IJCNLP(1), 2017)

Hashing Techniques: A Survey and Taxonomy. - Lianhua Chi; Xingquan Zhu 001 (ACM Comput. Surv., 2017)

Deep Learning Hash for Wireless Multimedia Image Content Security. - Yu Zheng 035; Jiezhong Zhu; Wei Fang 007; Lian-Hua Chi (Secur. Commun. Networks, 2018)

Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts. - Lianhua Chi; Bin Li 015; Xingquan Zhu 001; Shirui Pan; Ling Chen 006 (IEEE Trans. Cybern., 2018)

Autism Screening Using Deep Embedding Representation. - Haishuai Wang; Li Li; Lianhua Chi; Ziping Zhao 001 (ICCS (2), 2019)

Web of Scholars: A Scholar Knowledge Graph. - Jiaying Liu 006; Jing Ren 001; Wenqing Zheng; Lianhua Chi; Ivan Lee 001; Feng Xia 001 (SIGIR, 2020)

Searching Correlated Patterns From Graph Streams. - Ming Jin 005; Mei Li; Yu Zheng 013; Lianhua Chi (IEEE Access, 2020)

Full-Blind Delegating Private Quantum Computation. - Wenjie Liu 001; Zhen-Yu Chen 002; Jin-Suo Liu; Zhao-Feng Su 001; Lian-Hua Chi (CoRR, 2020)

Improving multi-label chest X-ray disease diagnosis by exploiting disease and health labels dependencies. - Zongyuan Ge; Dwarikanath Mahapatra; Xiaojun Chang; Zetao Chen; Lianhua Chi; Huimin Lu 001 (Multim. Tools Appl., 2020)

ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. - Ming Jin 005; Yixin Liu 001; Yu Zheng 013; Lianhua Chi; Yuan-Fang Li; Shirui Pan (CIKM, 2021)

Network Completion with Auto-regressive Graph Generative Model. - Shiyu Han; Jiaying Liu 006; Bo Xu 008; Lianhua Chi; Ching-Hsien Hsu (WI/IAT (Workshop/Special Session), 2021)

Impersonation Attack Detection in IoT Networks. - Dinh Duc Nha Nguyen; Keshav Sood; Yong Xiang 001; Longxiang Gao; Lianhua Chi (GLOBECOM, 2022)

From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach. - Yu Zheng 013; Ming Jin 005; Yixin Liu 001; Lianhua Chi; Khoa Tran Phan; Shirui Pan; Yi-Ping Phoebe Chen (CoRR, 2022)

Advanced calibration of mortality prediction on cardiovascular disease using feature-based artificial neural network. - Linh Tran; Alessio Bonti; Lianhua Chi; Mohamed Abdelrazek 001; Yi-Ping Phoebe Chen (Expert Syst. Appl., 2022)

RF Fingerprinting-Based IoT Node Authentication Using Mahalanobis Distance Correlation Theory. - Dinh Duc Nha Nguyen; Keshav Sood; Mohammad Reza Nosouhi; Yong Xiang 001; Longxiang Gao; Lianhua Chi (IEEE Netw. Lett., 2022)

Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks. - Haishuai Wang; Guangyu Tao; Jiali Ma; Shangru Jia; Lianhua Chi; Hong Yang 003; Ziping Zhao 001; Jianhua Tao 001 (IEEE J. Sel. Top. Signal Process., 2022)

HashWalk: An efficient node classification method based on clique-compressed graph embedding. - Shuliang Wang 001; Xiaorui Qin; Lianhua Chi (Pattern Recognit. Lett., 2022)

Bio-Inspired Dual-Network Model to Tackle Statistical Heterogeneity in Federated Learning. - Adnan Ahmad; Vinh Loi Chau; Antonio Robles-Kelly; Shang Gao 003; Longxiang Gao; Lianhua Chi; Wei Luo 001 (IJCNN, 2023)

Privacy-Preserving Quantum Two-Party Geometric Intersection. - Wenjie Liu 001; Yong Xu; James C. N. Yang; Wenbin Yu 002; Lian-Hua Chi (CoRR, 2023)

Transformed domain convolutional neural network for Alzheimer's disease diagnosis using structural MRI. - Syed Qasim Abbas; Lianhua Chi; Yi-Ping Phoebe Chen (Pattern Recognit., 2023)

Causal Discovery via Causal Star Graphs. - Boxiang Zhao; Shuliang Wang 001; Lianhua Chi; Qi Li 022; Xiaojia Liu; Jing Geng (ACM Trans. Knowl. Discov. Data, 2023)

DeepMNF: Deep Multimodal Neuroimaging Framework for Diagnosing Autism Spectrum Disorder. - Syed Qasim Abbas; Lianhua Chi; Yi-Ping Phoebe Chen (Artif. Intell. Medicine, 2023)

Casting plate defect detection using motif discovery with minimal model training and small data sets. - Amanjeet Singh Bhatia; Rado Kotorov; Lianhua Chi (J. Intell. Manuf., 2023)

MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks. - Jiaying Liu 006; Feng Xia 001; Jing Ren 001; Bo Xu 008; Guansong Pang; Lianhua Chi (ACM Trans. Knowl. Discov. Data, 2023)

Toward IoT Node Authentication Mechanism in Next Generation Networks. - Dinh Duc Nha Nguyen; Keshav Sood; Yong Xiang 001; Longxiang Gao; Lianhua Chi; Shui Yu 001 (IEEE Internet Things J., 2023)

Privacy and Accuracy for Cloud-Fog-Edge Collaborative Driver-Vehicle-Road Relation Graphs. - Zongmin Cui; Zhixing Lu; Laurence T. Yang; Jing Yu 012; Lianhua Chi; Yan Xiao; Shunli Zhang (IEEE Trans. Intell. Transp. Syst., 2023)

eX-ViT: A Novel explainable vision transformer for weakly supervised semantic segmentation. - Lu Yu; Wei Xiang 001; Juan Fang; Yi-Ping Phoebe Chen; Lianhua Chi (Pattern Recognit., 2023)

Dual-branch cross-dimensional self-attention-based imputation model for multivariate time series. - Le Fang; Wei Xiang 001; Yuan Zhou 006; Juan Fang; Lianhua Chi; Zongyuan Ge (Knowl. Based Syst., 2023)

HANM: Hierarchical Additive Noise Model for Many-to-One Causality Discovery. - Boxiang Zhao; Shuliang Wang 001; Lianhua Chi; Chuanfeng Zhao; Hanning Yuan; Qi Li 022; Xiaojia Liu; Jing Geng; Ye Yuan 001 (IEEE Trans. Knowl. Data Eng., 2023)

Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. - Yu Zheng 013; Ming Jin 005; Yixin Liu 001; Lianhua Chi; Khoa Tran Phan; Yi-Ping Phoebe Chen (IEEE Trans. Knowl. Data Eng., 2023)

Deep Contrastive Multi-view Clustering Under Semantic Feature Guidance. - Siwen Liu; Hanning Yuan; Ziqiang Yuan; Lianhua Chi; Jinyan Liu; Jing Geng; Shuliang Wang 001 (ADMA (1), 2024)

DWCL: Dual-Weighted Contrastive Learning for Multi-View Clustering. - Zhihui Zhang; Xiaoshuai Hao; Hanning Yuan; Lianhua Chi; Qi Guo; Qi Li 022; Ziqiang Yuan; Jinhui Pang; Yexin Li; Sijie Ruan (CoRR, 2024)

Graph spatiotemporal process for multivariate time series anomaly detection with missing values. - Yu Zheng 013; Huan Yee Koh; Ming Jin 005; Lianhua Chi; Haishuai Wang; Khoa Tran Phan; Yi-Ping Phoebe Chen; Shirui Pan; Wei Xiang 001 (Inf. Fusion, 2024)

Validating Siamese embedded neural networks with identical representations for efficient model convergence. - Mathias Hoy Talbo; Haishuai Wang; Lianhua Chi; Yi-Ping Phoebe Chen (Knowl. Based Syst., 2024)

Design and Robust Evaluation of Next Generation Node Authentication Approach. - Dinh Duc Nha Nguyen; Keshav Sood; Yong Xiang 001; Longxiang Gao; Lianhua Chi; Gurpreet Singh; Shui Yu 001 (IEEE Trans. Dependable Secur. Comput., 2024)

Coresets for fast causal discovery with the additive noise model. - Boxiang Zhao; Shuliang Wang 001; Lianhua Chi; Hanning Yuan; Ye Yuan 001; Qi Li 022; Jing Geng; Shao-Liang Zhang (Pattern Recognit., 2024)

Correlation-Aware Spatial-Temporal Graph Learning for Multivariate Time-Series Anomaly Detection. - Yu Zheng 013; Huan Yee Koh; Ming Jin 005; Lianhua Chi; Khoa Tran Phan; Shirui Pan; Yi-Ping Phoebe Chen; Wei Xiang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Heterogeneous Network Motif Coding, Counting, and Profiling. - Shuo Yu 001; Feng Xia 001; Honglong Chen; Ivan Lee 001; Lianhua Chi; Hanghang Tong (ACM Trans. Knowl. Discov. Data, 2024)

Tensor-based ranking-hiding privacy-preserving scheme for cloud-fog-edge cooperative cyber-physical-social systems. - Jing Yu 012; Yan Xiao; Lianhua Chi; Shunli Zhang; Zongmin Cui (J. Netw. Comput. Appl., 2025)

ConEm: A novel framework for integrating external factors with inner and outer correlations in time series forecasting. - Hoang Nguyen Nguyen; Wei Xiang 001; Lianhua Chi; Mike Da Gama; Sanjeevani Avashi; Michael Treloar; Lu Yu (Knowl. Based Syst., 2025)