Smart Adelaide guide: a context-aware web application. - Kewen Liao; Quan Z. Sheng; Jian Yu 002; Hoi Sim Wong (iiWAS, 2009)

Techniques on developing context-aware web services. - Quan Z. Sheng; Jian Yu 002; Aviv Segev; Kewen Liao (Int. J. Web Inf. Syst., 2010)

Unconstrained and Constrained Fault-Tolerant Resource Allocation. - Kewen Liao; Hong Shen 001 (COCOON, 2011)

Fast Fault-Tolerant Resource Allocation. - Kewen Liao; Hong Shen 001 (PDCAT, 2011)

Approximating the Reliable Resource Allocation Problem Using Inverse Dual Fitting. - Kewen Liao; Hong Shen 001 (CATS, 2012)

WS-Finder: A Framework for Similarity Search of Web Services. - Jiangang Ma; Quan Z. Sheng; Kewen Liao; Yanchun Zhang; Anne H. H. Ngu (ICSOC, 2012)

Constrained Fault-Tolerant Resource Allocation - Kewen Liao; Hong Shen 001; Longkun Guo (CoRR, 2012)

Improved Approximations for Shallow-Light Spanning and Steiner Trees - Longkun Guo; Kewen Liao (CoRR, 2012)

Improved Approximation Algorithms for Computing k Disjoint Paths Subject to Two Constraints. - Longkun Guo; Hong Shen 001; Kewen Liao (COCOON, 2013)

Improved Approximation Algorithms for Constrained Fault-Tolerant Resource Allocation - (Extended Abstract). - Kewen Liao; Hong Shen 001; Longkun Guo (FCT, 2013)

On the Shallow-Light Steiner Tree Problem. - Longkun Guo; Kewen Liao; Hong Shen 001 (PDCAT, 2014)

LP-Based Approximation Algorithms for Reliable Resource Allocation. - Kewen Liao; Hong Shen 001 (Comput. J., 2014)

Brief Announcement: Efficient Approximation Algorithms for Computing k Disjoint Restricted Shortest Paths. - Longkun Guo; Kewen Liao; Hong Shen 001; Peng Li (SPAA, 2015)

Efficient Approximation Algorithms for Computing emph{k} Disjoint Restricted Shortest Paths. - Longkun Guo; Kewen Liao; Hong Shen 001; Peng Li (CoRR, 2015)

Improved approximation algorithms for computing k disjoint paths subject to two constraints. - Longkun Guo; Hong Shen 001; Kewen Liao (J. Comb. Optim., 2015)

Improved approximation algorithms for constrained fault-tolerant resource allocation. - Kewen Liao; Hong Shen 001; Longkun Guo (Theor. Comput. Sci., 2015)

Effective Construction of Relative Lempel-Ziv Dictionaries. - Kewen Liao; Matthias Petri; Alistair Moffat; Anthony Wirth (WWW, 2016)

Edge Labeling Schemes for Graph Data. - Oshini Goonetilleke; Danai Koutra; Timos Sellis; Kewen Liao (SSDBM, 2017)

A Cost Model for Long-Term Compressed Data Retention. - Kewen Liao; Alistair Moffat; Matthias Petri; Anthony Wirth (WSDM, 2017)

DistClusTree: A Framework for Distributed Stream Clustering. - Zhinoos Razavi Hesabi; Timos Sellis; Kewen Liao (ADC, 2018)

A Fast Algorithm for Optimally Finding Partially Disjoint Shortest Paths. - Longkun Guo; Yunyun Deng; Kewen Liao; Qiang He 001; Timos Sellis; Zheshan Hu (IJCAI, 2018)

Classification and Annotation of Open Internet of Things Datastreams. - Federico Montori; Kewen Liao; Prem Prakash Jayaraman; Luciano Bononi; Timos Sellis; Dimitrios Georgakopoulos 001 (WISE (2), 2018)

Efficient Algorithms for Flexible Sweep Coverage in Crowdsensing. - Peihuang Huang; Wenxing Zhu; Kewen Liao; Timos Sellis; Zhiyong Yu 001; Longkun Guo (IEEE Access, 2018)

Fast Anomaly Detection in Multiple Multi-Dimensional Data Streams. - Hongyu Sun; Qiang He 001; Kewen Liao; Timos Sellis; Longkun Guo; Xuyun Zhang; Jun Shen 001; Feifei Chen 001 (IEEE BigData, 2019)

Contextual Community Search Over Large Social Networks. - Lu Chen 008; Chengfei Liu; Kewen Liao; Jianxin Li 001; Rui Zhou 001 (ICDE, 2019)

On effective and efficient graph edge labeling. - Oshini Goonetilleke; Danai Koutra; Kewen Liao; Timos Sellis (Distributed Parallel Databases, 2019)

Maximizing Reliability of Data-Intensive Workflow Systems with Active Fault Tolerance Schemes in Cloud. - Weiling Li; Xiaoning Sun; Kewen Liao; Yunni Xia; Feifei Chen 001; Qiang He 001 (CLOUD, 2020)

A Service Computing Framework for Proteomics Analysis and Collaboration of Pathogenic Mechanism Studies. - Huaming Chen; Fucun Li; Geng Sun 002; Xuyun Zhang; Xianjun Dong; Lei Wang 001; Kewen Liao; Haifeng Shen; Jun Shen 001 (SCC, 2020)

LP-Based Algorithms for Computing Maximum Vertex-Disjoint Paths with Different Colors. - Yunyun Deng; Yi Chen; Kewen Liao; Longkun Guo (TAMC, 2020)

Inferring Location Types With Geo-Social-Temporal Pattern Mining. - Tarique Anwar; Kewen Liao; Angelic Goyal; Timos Sellis; A. S. M. Kayes; Haifeng Shen (IEEE Access, 2020)

Temporal betweenness centrality in dynamic graphs. - Ioanna Tsalouchidou; Ricardo Baeza-Yates; Francesco Bonchi; Kewen Liao; Timos Sellis (Int. J. Data Sci. Anal., 2020)

Human-AI Interactive and Continuous Sensemaking: A Case Study of Image Classification using Scribble Attention Maps. - Haifeng Shen; Kewen Liao; Zhibin Liao; Job N. Doornberg; Maoying Qiao; Anton van den Hengel; Johan W. Verjans (CHI Extended Abstracts, 2021)

Streaming Submodular Maximization Under Differential Privacy Noise. - Di Xiao 005; Longkun Guo; Kewen Liao; Pei Yao (COCOA, 2021)

INFORM: A Tool for Classification and Semantic Annotation of IoT Datastreams. - Alireza Hassani; Federico Montori; Kewen Liao; Pari Delir Haghighi; Prem Prakash Jayaraman; Dimitrios Georgakopoulos 001; Matteo De Giosa; Arkady B. Zaslavsky (WF-IoT, 2021)

Understanding the effects of real-time sentiment analysis and morale visualisation in backchannel systems: A case study. - Theodor Wyeld; Peerumporn Jiranantanagorn; Haifeng Shen; Kewen Liao; Tomasz Bednarz (Int. J. Hum. Comput. Stud., 2021)

On finding maximum disjoint paths with different colors: Computational complexity and practical LP-based algorithms. - Yunyun Deng; Longkun Guo; Kewen Liao; Yi Chen (Theor. Comput. Sci., 2021)

Do Simpler Statistical Methods Perform Better in Multivariate Long Sequence Time-Series Forecasting? - Hao Li; Jie Shao 001; Kewen Liao; Mingjian Tang 001 (CIKM, 2022)

A Multi-output Integration Residual Network for Predicting Time Series Data with Diverse Scales. - Hao Li; Mingjian Tang 001; Kewen Liao; Jie Shao 001 (PRICAI (1), 2022)

Fast Approximation Algorithms for Multiple Coverage with Unit Disks. - Xuening Gao; Longkun Guo; Kewen Liao (WoWMoM, 2022)

Efficient approximation algorithms for offline and online unit disk multiple coverage. - Xuening Gao; Longkun Guo; Kewen Liao (Comput. Electr. Eng., 2022)

CorrDetector: A framework for structural corrosion detection from drone images using ensemble deep learning. - Abdur Rahim Mohammad Forkan; Yong-Bin Kang; Prem Prakash Jayaraman; Kewen Liao; Rohit Kaul; Graham Morgan; Rajiv Ranjan 001; Samir Sinha (Expert Syst. Appl., 2022)

CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification. - Zhibin Liao; Kewen Liao; Haifeng Shen; Marouska F. van Boxel; Jasper Prijs; Ruurd L. Jaarsma; Job N. Doornberg; Anton van den Hengel; Johan W. Verjans (IEEE J. Biomed. Health Informatics, 2022)

Demo: SenShaMart - A Sensor Sharing Marketplace for IoT. - Anas Dawod; Dimitrios Georgakopoulos 001; Prem Prakash Jayaraman; Josip Karabotic Milovac; Kewen Liao; Panos K. Chrysanthis (ICDCS, 2023)

Fed-SC: One-Shot Federated Subspace Clustering over High-Dimensional Data. - Songjie Xie; Youlong Wu; Kewen Liao; Lu Chen 008; Chengfei Liu; Haifeng Shen; MingJian Tang 001; Lu Sun 001 (ICDE, 2023)

DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data. - Muhammad Sakib Khan Inan; Kewen Liao; Haifeng Shen; Prem Prakash Jayaraman; Dimitrios Georgakopoulos 001; Ming Jian Tang (MobiQuitous (1), 2023)

Submodular maximization over data streams with differential privacy noise. - Longkun Guo; Kewen Liao; Di Xiao 005; Pei Yao (Theor. Comput. Sci., 2023)

A Metadata-Assisted Cascading Ensemble Classification Framework for Automatic Annotation of Open IoT Data. - Federico Montori; Kewen Liao; Matteo De Giosa; Prem Prakash Jayaraman; Luciano Bononi; Timos Sellis; Dimitrios Georgakopoulos 001 (IEEE Internet Things J., 2023)

Densest Multipartite Subgraph Search in Heterogeneous Information Networks. - Lu Chen 008; Chengfei Liu; Rui Zhou 001; Kewen Liao; Jiajie Xu 001; Jianxin Li 001 (Proc. VLDB Endow., 2023)

Efficient Constrained K-center Clustering with Background Knowledge. - Longkun Guo; Chaoqi Jia; Kewen Liao; Zhigang Lu 001; Minhui Xue 001 (AAAI, 2024)

CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation. - Townim Faisal Chowdhury; Kewen Liao; Vu Minh Hieu Phan; Minh-Son To; Yutong Xie 001; Kevin Hung; David Ross; Anton van den Hengel; Johan W. Verjans; Zhibin Liao (CVPR, 2024)

AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis. - Townim F. Chowdhury; Vu Minh Hieu Phan; Kewen Liao; Minh-Son To; Yutong Xie 001; Anton van den Hengel; Johan W. Verjans; Zhibin Liao (MICCAI (10), 2024)

Enhancing Policy Gradient for Traveling Salesman Problem with Data Augmented Behavior Cloning. - Yunchao Zhang; Kewen Liao; Zhibin Liao; Longkun Guo (PAKDD (2), 2024)