Participant: A New Concept for Optimally Assisting the Elder People. - Hong Sun 001; Vincenzo De Florio; Ning Gui; Chris Blondia (CBMS, 2007)

Service Matching in Online Community for Mutual Assisted Living. - Hong Sun 001; Vincenzo De Florio; Ning Gui; Chris Blondia (SITIS, 2007)

A Service-oriented Infrastructure for Mutual Assistance Community. - Ning Gui; Hong Sun 001; Vincenzo De Florio; Chris Blondia (WOWMOM, 2007)

A framework for adaptive real-time applications: the declarative real-time OSGi component model. - Ning Gui; Vincenzo De Florio; Hong Sun 001; Chris Blondia (ARM, 2008)

Towards Building Virtual Community for Ambient Assisted Living. - Hong Sun 001; Vincenzo De Florio; Ning Gui; Chris Blondia (PDP, 2008)

A hybrid real-time component model for reconfigurable embedded systems. - Ning Gui; Vincenzo De Florio; Hong Sun 001; Chris Blondia (SAC, 2008)

An Architecture-Based Framework for Managing Adaptive Real-Time Applications. - Ning Gui; Vincenzo De Florio; Hong Sun 001; Chris Blondia (EUROMICRO-SEAA, 2009)

Promises and Challenges of Ambient Assisted Living Systems. - Hong Sun 001; Vincenzo De Florio; Ning Gui; Chris Blondia (ITNG, 2009)

Adaptation Strategies for Performance Failure Avoindance. - Hong Sun 001; Vincenzo De Florio; Ning Gui; Raf Hens; Bert Vankeirsbilck; Bart Dhoedt; Chris Blondia (SSIRI, 2009)

ACCADA: A Framework for Continuous Context-Aware Deployment and Adaptation. - Ning Gui; Vincenzo De Florio; Hong Sun 001; Chris Blondia (SSS, 2009)

An Architecture-Based Adaptation Framework for Soft Real-Time Applications. - Ning Gui; Hong Sun 001; Chris Blondia (Int. J. Adapt. Resilient Auton. Syst., 2010)

The missing ones: Key ingredients towards effective ambient assisted living systems. - Hong Sun 001; Vincenzo De Florio; Ning Gui; Chris Blondia (J. Ambient Intell. Smart Environ., 2010)

Delegate MAS for Large Scale and Dynamic PDP: A Case Study. - Shaza Hanif; Rinde R. S. van Lon; Ning Gui; Tom Holvoet (IDC, 2011)

Run-Time Compositional Software Platform for Autonomous NXT Robots. - Ning Gui; Vincenzo De Florio; Chris Blondia (Int. J. Adapt. Resilient Auton. Syst., 2011)

A Generic Adaptation Framework for Mobile Communication. - Hong Sun 001; Ning Gui; Chris Blondia (Int. J. Adapt. Resilient Auton. Syst., 2011)

Toward architecture-based context-aware deployment and adaptation. - Ning Gui; Vincenzo De Florio; Hong Sun 001; Chris Blondia (J. Syst. Softw., 2011)

Towards Meta-Adaptation Support with Reusable and Composable Adaptation Components. - Ning Gui; Vincenzo De Florio (SASO, 2012)

Middleware-based adaptation evolution with reusable adaptation components - Ning Gui (2012)

Transformer: an adaptation framework supporting contextual adaptation behavior composition. - Ning Gui; Vincenzo De Florio; Tom Holvoet (Softw. Pract. Exp., 2013)

Analysis of dynamic game played with inaccurate demand beliefs. - Zhifeng Qiu; Ning Gui; Geert Deconinck (Appl. Math. Comput., 2014)

A Service-oriented Infrastructure Approach for Mutual Assistance Communities. - Ning Gui; Vincenzo De Florio; Hong Sun 001; Chris Blondia (CoRR, 2014)

ATALK: A decentralized agent platform for engineering open and dynamic organizations. - Ning Gui; Vincenzo De Florio; Tom Holvoet (Eng. Appl. Artif. Intell., 2014)

Detecting Bugs of Concurrent Programs With Program Invariants. - Rong Wang; Zuohua Ding; Ning Gui; Yang Liu 003 (IEEE Trans. Reliab., 2017)

AFS: An Attention-Based Mechanism for Supervised Feature Selection. - Ning Gui; Danni Ge; Ziyin Hu (AAAI, 2019)

IFC-Based Partial Data Model Retrieval for Distributed Collaborative Design. - Ning Gui; Chuhan Wang; Zhifeng Qiu; Weihua Gui 001; Geert Deconinck (J. Comput. Civ. Eng., 2019)

Pair-view Unsupervised Graph Representation Learning. - You Li; Binli Luo; Ning Gui (CoRR, 2020)

CMS: A Continuous Machine-Learning and Serving Platform for Industrial Big Data. - KeDi Li; Ning Gui (Future Internet, 2020)

Self-supervised Adaptive Aggregator Learning on Graph. - Bei Lin; Binli Luo; Jiaojiao He; Ning Gui (PAKDD (3), 2021)

A Multiattention-Based Supervised Feature Selection Method for Multivariate Time Series. - Li Cao; Yanting Chen; Zhiyang Zhang; Ning Gui (Comput. Intell. Neurosci., 2021)

An Embedded Feature Selection Framework for Control. - Jiawen Wei 002; Fangyuan Wang 002; Wanxin Zeng; Wenwei Lin; Ning Gui (KDD, 2022)

A-SFS: Semi-supervised feature selection based on multi-task self-supervision. - Zhifeng Qiu; Wanxin Zeng; Dahua Liao; Ning Gui (Knowl. Based Syst., 2022)

Data Imputation with Iterative Graph Reconstruction. - Jiajun Zhong; Ning Gui; Weiwei Ye (AAAI, 2023)

Multi-view Graph Representation Learning Beyond Homophily. - Bei Lin; You Li; Ning Gui; Zhuopeng Xu; Zhiwu Yu (ACM Trans. Knowl. Discov. Data, 2023)

PairGNNs: enabling graph neural networks with pair-based view. - Chenhuan Yu; Gangda Deng; Ning Gui (Neural Comput. Appl., 2023)

Graph Representation Learning Beyond Node and Homophily. - You Li; Bei Lin; Binli Luo; Ning Gui (IEEE Trans. Knowl. Data Eng., 2023)

Periodicity Association Based Contrastive Learning for Time Series Anomaly Detection. - Jiawei Xu; Zhaowei Zhu; Weiwei Ye; Ning Gui (IJCNN, 2024)

Ordering-Based Causal Discovery for Linear and Nonlinear Relations. - Zhuopeng Xu; Yujie Li; Cheng Liu; Ning Gui (NeurIPS, 2024)

Frequency Adaptive Normalization For Non-stationary Time Series Forecasting. - Weiwei Ye; Songgaojun Deng; Qiaosha Zou; Ning Gui (NeurIPS, 2024)

MVOD: A Multi-View Outlier Detection Method with Single-Feature View Augmentation. - Zhaowei Zhu; Zhu Chen; Ning Gui; Jiawei Xu; Yun Lei; Dongdong Li (SMC, 2024)

GAEFS: Self-supervised Graph Auto-encoder enhanced Feature Selection. - Jun Tan 006; Ning Gui; Zhifeng Qiu (Knowl. Based Syst., 2024)

Understanding via Exploration: Discovery of Interpretable Features With Deep Reinforcement Learning. - Jiawen Wei 002; Zhifeng Qiu; Fangyuan Wang 002; Wenwei Lin; Ning Gui; Weihua Gui 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

SimGCL: graph contrastive learning by finding homophily in heterophily. - Cheng Liu; Chenhuan Yu; Ning Gui; Zhiwu Yu; Songgaojun Deng (Knowl. Inf. Syst., 2024)

Graph Representation Learning Enhanced Semi-Supervised Feature Selection. - Jun Tan 006; Zhifeng Qiu; Ning Gui (ACM Trans. Knowl. Discov. Data, 2024)

Unsupervised Graph Representation Learning Beyond Aggregated View. - Jian Zhou; Jiasheng Li; Li Kuang; Ning Gui (IEEE Trans. Knowl. Data Eng., 2024)

Are Large Language Models Really Robust to Word-Level Perturbations? - Haoyu Wang 003; Guozheng Ma; Cong Yu 018; Ning Gui; Linrui Zhang; Zhiqi Huang 005; Suwei Ma; Yongzhe Chang; Sen Zhang 006; Li Shen 008; Xueqian Wang 001; Peilin Zhao; et al. (Trans. Mach. Learn. Res., 2025)

Non-stationary Diffusion For Probabilistic Time Series Forecasting. - Weiwei Ye; Zhuopeng Xu; Ning Gui (CoRR, 2025)