Lina Yao

Orcid: 0000-0002-4149-839X

Affiliations:
  • University of New South Wales, School of Computer Science and Engineering, Kensington, NSW, Australia
  • University of Adelaide, SA, Australia (PhD 2014)


According to our database1, Lina Yao authored at least 383 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-view GCN for loan default risk prediction.
Neural Comput. Appl., July, 2024

Modality aware contrastive learning for multimodal human activity recognition.
Concurr. Comput. Pract. Exp., July, 2024

Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition.
ACM Trans. Multim. Comput. Commun. Appl., May, 2024

Generalizing truth discovery by incorporating multi-truth features.
Computing, May, 2024

Hierarchical Constrained Variational Autoencoder for interaction-sparse recommendations.
Inf. Process. Manag., March, 2024

Incentive Mechanism Design of Federated Learning for Recommendation Systems in MEC.
IEEE Trans. Consumer Electron., February, 2024

To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods.
AI Ethics, February, 2024

Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Self-supervised cross-modal visual retrieval from brain activities.
Pattern Recognit., January, 2024

Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Dyformer: A dynamic transformer-based architecture for multivariate time series classification.
Inf. Sci., January, 2024

Guided Image-to-Image Translation by Discriminator-Generator Communication.
IEEE Trans. Multim., 2024

Uncertainty-aware pedestrian trajectory prediction via distributional diffusion.
Knowl. Based Syst., 2024

Limits of predictability in top-N recommendation.
Inf. Process. Manag., 2024

Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation.
CoRR, 2024

Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning.
CoRR, 2024

Multi-agent Traffic Prediction via Denoised Endpoint Distribution.
CoRR, 2024

Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement.
CoRR, 2024

Learn When (not) to Trust Language Models: A Privacy-Centric Adaptive Model-Aware Approach.
CoRR, 2024

CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models.
CoRR, 2024

Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning.
CoRR, 2024

Uncertainty-aware Distributional Offline Reinforcement Learning.
CoRR, 2024

Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems.
CoRR, 2024

Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning.
CoRR, 2024

Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models.
CoRR, 2024

Foundation Models for Recommender Systems: A Survey and New Perspectives.
CoRR, 2024

Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems.
CoRR, 2024

Learning with Mixture of Prototypes for Out-of-Distribution Detection.
CoRR, 2024

HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization.
CoRR, 2024

MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment.
Proceedings of the ACM on Web Conference 2024, 2024

Identifiability of Cross-Domain Recommendation via Causal Subspace Disentanglement.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Interdependence analysis on heterogeneous data via behavior interior dimensions.
Knowl. Based Syst., November, 2023

Uncertainty Estimation With Neural Processes for Meta-Continual Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference.
IEEE Trans. Knowl. Data Eng., October, 2023

Quantifying predictability of sequential recommendation via logical constraints.
Frontiers Comput. Sci., October, 2023

Intrinsically motivated reinforcement learning based recommendation with counterfactual data augmentation.
World Wide Web (WWW), September, 2023

When Object Detection Meets Knowledge Distillation: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Item trend learning for sequential recommendation system using gated graph neural network.
Neural Comput. Appl., June, 2023

Adversarial dual autoencoders for trust-aware recommendation.
Neural Comput. Appl., June, 2023

Attentional Gated Res2Net for Multivariate Time Series Classification.
Neural Process. Lett., April, 2023

TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Deep reinforcement learning in recommender systems: A survey and new perspectives.
Knowl. Based Syst., March, 2023

A blockchain framework data integrity enhanced recommender system.
Comput. Intell., February, 2023

Gradient Boosted Neural Decision Forest.
IEEE Trans. Serv. Comput., 2023

Diversity-Boosted Generalization-Specialization Balancing for Zero-Shot Learning.
IEEE Trans. Multim., 2023

Attribute-Modulated Generative Meta Learning for Zero-Shot Learning.
IEEE Trans. Multim., 2023

Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis.
IEEE J. Biomed. Health Informatics, 2023

Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity.
ACM Trans. Intell. Syst. Technol., 2023

Zero-Shot Camouflaged Object Detection.
IEEE Trans. Image Process., 2023

Cure-GNN: A Robust Curvature-Enhanced Graph Neural Network Against Adversarial Attacks.
IEEE Trans. Dependable Secur. Comput., 2023

Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction.
CoRR, 2023

How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation.
CoRR, 2023

When Large Language Models Meet Citation: A Survey.
CoRR, 2023

Reinforcement Learning for Generative AI: A Survey.
CoRR, 2023

On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems.
CoRR, 2023

Distilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity Recognition.
CoRR, 2023

Limits of Predictability in Top-N Recommendation.
CoRR, 2023

Adversarially Contrastive Estimation of Conditional Neural Processes.
CoRR, 2023

Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion.
CoRR, 2023

Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning.
CoRR, 2023

On the Opportunity of Causal Deep Generative Models: A Survey and Future Directions.
CoRR, 2023

Modeling Temporal Positive and Negative Excitation for Sequential Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Exploiting Explicit and Implicit Item relationships for Session-based Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Meta-learning for Estimating Multiple Treatment Effects with Imbalance.
Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

DREAM: Decoupled Representation via Extraction Attention Module and Supervised Contrastive Learning for Cross-Domain Sequential Recommender.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Mask Propagation for Efficient Video Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NPCL: Neural Processes for Uncertainty-Aware Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ALDA: An Adaptive Layout Design Assistant for Diverse Posters throughout the Design Process.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Biased or Debiased: Polarization-aware Embedding Learning from Social Media Knowledge Graph.
Proceedings of the International Joint Conference on Neural Networks, 2023

Multi-level Attention Network with Weather Suppression for All-Weather Action Detection in UAV Rescue Scenarios.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems.
Proceedings of the IEEE International Conference on Data Mining, 2023

Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2023

Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Interpolation graph convolutional network for 3D point cloud analysis.
Int. J. Intell. Syst., December, 2022

Deep Learning for Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2022

AskMe: joint individual-level and community-level behavior interaction for question recommendation.
World Wide Web, 2022

Agglomerative Neural Networks for Multiview Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2022

Preventing Sensitive Information Leakage From Mobile Sensor Signals via Integrative Transformation.
IEEE Trans. Mob. Comput., 2022

Passenger Demand Prediction With Cellular Footprints.
IEEE Trans. Mob. Comput., 2022

Graph Neural Network for Robust Public Transit Demand Prediction.
IEEE Trans. Intell. Transp. Syst., 2022

An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

Generative adversarial U-Net for domain-free few-shot medical diagnosis.
Pattern Recognit. Lett., 2022

Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding.
Knowl. Based Syst., 2022

A survey for trust-aware recommender systems: A deep learning perspective.
Knowl. Based Syst., 2022

EAGCN: An Efficient Adaptive Graph Convolutional Network for Item Recommendation in Social Internet of Things.
IEEE Internet Things J., 2022

RLTIR: Activity-Based Interactive Person Identification via Reinforcement Learning Tree.
IEEE Internet Things J., 2022

Intent-Aware Interactive Internet of Things for Enhanced Collaborative Ambient Intelligence.
IEEE Internet Comput., 2022

Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems.
Frontiers Big Data, 2022

Transfer how much: a fine-grained measure of the knowledge transferability of user behavior sequences in social network.
Data Min. Knowl. Discov., 2022

Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges, and Opportunities.
ACM Comput. Surv., 2022

Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning.
CoRR, 2022

A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications.
CoRR, 2022

The Neural Process Family: Survey, Applications and Perspectives.
CoRR, 2022

Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey.
CoRR, 2022

Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects.
CoRR, 2022

Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences.
CoRR, 2022

Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis.
CoRR, 2022

See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity.
CoRR, 2022

Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review.
CoRR, 2022

Unsupervised Knowledge Adaptation for Passenger Demand Forecasting.
CoRR, 2022

Towards Explanation for Unsupervised Graph-Level Representation Learning.
CoRR, 2022

Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus.
CoRR, 2022

Model-agnostic Counterfactual Synthesis Policy for Interactive Recommendation.
CoRR, 2022

Contrastive Graph Learning for Population-based fMRI Classification.
CoRR, 2022

Balancing Generalization and Specialization in Zero-shot Learning.
CoRR, 2022

A Multilevel Collective Framework for Internet of Things Digital Forensic Investigation.
Computer, 2022

A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions.
Comput. J., 2022

Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning.
Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction.
Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Hierarchical Task-aware Multi-Head Attention Network.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Socially-aware Dual Contrastive Learning for Cold-Start Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Cycle-Balanced Representation Learning For Counterfactual Inference.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

A survey on participant selection for federated learning in mobile networks.
Proceedings of the MobiArch '22: Proceedings of the 17th ACM Workshop on Mobility in the Evolving Internet Architecture, 2022

Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Contrastive Individual Treatment Effects Estimation.
Proceedings of the IEEE International Conference on Data Mining, 2022

Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems.
Proceedings of the IEEE International Conference on Data Mining, 2022

Contrastive Conditional Neural Processes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Multi-agent Transformer Networks for Multimodal Human Activity Recognition.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Harnessing Confidence for Report Aggregation in Crowdsourcing Environments.
Proceedings of the IEEE International Conference on Services Computing, 2022

Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs.
Proceedings of the IEEE International Conference on Services Computing, 2022

2021
Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations.
IEEE Trans. Serv. Comput., 2021

Learning to Recommend With Multiple Cascading Behaviors.
IEEE Trans. Knowl. Data Eng., 2021

DeepDepict: Enabling Information Rich, Personalized Product Description Generation With the Deep Multiple Pointer Generator Network.
ACM Trans. Knowl. Discov. Data, 2021

Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images.
Pattern Recognit., 2021

Unsupervised Cross-View Feature Selection on incomplete data.
Knowl. Based Syst., 2021

MutualRec: Joint friend and item recommendations with mutualistic attentional graph neural networks.
J. Netw. Comput. Appl., 2021

VID: Human identification through vein patterns captured from commodity depth cameras.
IET Biom., 2021

Context-Induced Activity Monitoring for On-Demand Things-of-Interest Recommendation in an Ambient Intelligent Environment.
Future Internet, 2021

Efficient search over incomplete knowledge graphs in binarized embedding space.
Future Gener. Comput. Syst., 2021

Deep spatial-temporal sequence modeling for multi-step passenger demand prediction.
Future Gener. Comput. Syst., 2021

The Future of False Information Detection on Social Media: New Perspectives and Trends.
ACM Comput. Surv., 2021

Locality-Sensitive Experience Replay for Online Recommendation.
CoRR, 2021

Unsupervised Person Re-Identification: A Systematic Survey of Challenges and Solutions.
CoRR, 2021

A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions.
CoRR, 2021

Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference.
CoRR, 2021

Attribute-Modulated Generative Meta Learning for Zero-Shot Classification.
CoRR, 2021

RLTIR: Activity-based Interactive Person Identification based on Reinforcement Learning Tree.
CoRR, 2021

Generative Adversarial U-Net for Domain-free Medical Image Augmentation.
CoRR, 2021

An internet of things service roadmap.
Commun. ACM, 2021

On-Device Lumbar-Pelvic Movement Detection Using Dual-IMU: A DNN-Based Approach.
IEEE Access, 2021

NP-PROV: Neural Processes with Position-Relevant-Only Variances.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

RAU: An Interpretable Automatic Infection Diagnosis of COVID-19 Pneumonia with Residual Attention U-Net.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning.
Proceedings of the IEEE International Conference on Data Mining, 2021

Global Convolutional Neural Processes.
Proceedings of the IEEE International Conference on Data Mining, 2021

Condor: Mobile Golf Swing Tracking via Sensor Fusion using Conditional Generative Adversarial Networks.
Proceedings of the EWSN '21: Proceedings of the 2021 International Conference on Embedded Wireless Systems and Networks, 2021

Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Generative Inverse Deep Reinforcement Learning for Online Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Cognitive Augmentation in Processes.
Proceedings of the Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future, 2021

HFM++: An Enhanced Holographic Factorization Machine for Recommendation.
Proceedings of the Data Mining, 2021

Intention Recognition from Spatio-Temporal Representation of EEG Signals.
Proceedings of the Databases Theory and Applications, 2021

Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction.
Proceedings of the Databases Theory and Applications, 2021

Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment.
Proceedings of the Databases Theory and Applications, 2021

Task Aligned Generative Meta-learning for Zero-shot Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Deep Learning for EEG-Based Brain-Computer Interfaces - Representations, Algorithms and Applications
WorldScientific, ISBN: 9781786349606, 2021

2020
AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction.
World Wide Web, 2020

A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2020

Motor Imagery Classification via Temporal Attention Cues of Graph Embedded EEG Signals.
IEEE J. Biomed. Health Informatics, 2020

Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection.
IEEE J. Biomed. Health Informatics, 2020

DeepKey: A Multimodal Biometric Authentication System via Deep Decoding Gaits and Brainwaves.
ACM Trans. Intell. Syst. Technol., 2020

Unraveling Metric Vector Spaces With Factorization for Recommendation.
IEEE Trans. Ind. Informatics, 2020

Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition.
IEEE Trans. Cybern., 2020

Electronic Skin Wearable Sensors for Detecting Lumbar-Pelvic Movements.
Sensors, 2020

Rating prediction via generative convolutional neural networks based regression.
Pattern Recognit. Lett., 2020

Software expert discovery via knowledge domain embeddings in a collaborative network.
Pattern Recognit. Lett., 2020

Opinion fraud detection via neural autoencoder decision forest.
Pattern Recognit. Lett., 2020

A unified framework for data integrity protection in people-centric smart cities.
Multim. Tools Appl., 2020

Memory transformation networks for weakly supervised visual classification.
Knowl. Based Syst., 2020

An enhanced probabilistic fairness-aware group recommendation by incorporating social activeness.
J. Netw. Comput. Appl., 2020

Dual-stream generative adversarial networks for distributionally robust zero-shot learning.
Inf. Sci., 2020

Adversarial Multi-view Networks for Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

MGNN: Mutualistic Graph Neural Network for Joint Friend and Item Recommendation.
IEEE Intell. Syst., 2020

RecRisk: An enhanced recommendation model with multi-facet risk control.
Expert Syst. Appl., 2020

Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding.
CoRR, 2020

Recommender Systems for the Internet of Things: A Survey.
CoRR, 2020

NP-PROV: Neural Processes with Position-Relevant-Only Variances.
CoRR, 2020

Agglomerative Neural Networks for Multi-view Clustering.
CoRR, 2020

Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems.
CoRR, 2020

Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images.
CoRR, 2020

Trust in Recommender Systems: A Deep Learning Perspective.
CoRR, 2020

Reliability analysis for blockchain oracles.
Comput. Electr. Eng., 2020

Correction to: Special issue on recommender system.
CCF Trans. Pervasive Comput. Interact., 2020

A multi-view CNN-based acoustic classification system for automatic animal species identification.
Ad Hoc Networks, 2020

Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Mobility Irregularity Detection with Smart Transit Card Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Prototype Similarity Learning for Activity Recognition.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Spectrum-Guided Adversarial Disparity Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Zero-Shot Object Detection with Textual Descriptions Using Convolutional Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

TRec: Sequential Recommender Based On Latent Item Trend Information.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Active Object Estimation for Human-Robot Collaborative Tasks.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Exploring Missing Interactions: A Convolutional Generative Adversarial Network for Collaborative Filtering.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Non-local Self-attentive Autoencoder for Genetic Functionality Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

One-Shot Learning for Long-Tail Visual Relation Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Adaptive Two-Dimensional Embedded Image Clustering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Novel Artificial Bee Colony Algorithms for QoS-Aware Service Selection.
IEEE Trans. Serv. Comput., 2019

Source-Aware Crisis-Relevant Tweet Identification and Key Information Summarization.
ACM Trans. Internet Techn., 2019

A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis.
IEEE Signal Process. Lett., 2019

Zero-shot event detection via event-adaptive concept relevance mining.
Pattern Recognit., 2019

A reliable reputation computation framework for online items in E-commerce.
J. Netw. Comput. Appl., 2019

Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity.
IEEE Internet Things J., 2019

Inferring User Profile Attributes From Multidimensional Mobile Phone Sensory Data.
IEEE Internet Things J., 2019

DeepStore: An Interaction-Aware Wide&Deep Model for Store Site Recommendation With Attentional Spatial Embeddings.
IEEE Internet Things J., 2019

Recommendations on the Internet of Things: Requirements, Challenges, and Directions.
IEEE Internet Comput., 2019

Deep Learning Based Recommender System: A Survey and New Perspectives.
ACM Comput. Surv., 2019

The Future of Misinformation Detection: New Perspectives and Trends.
CoRR, 2019

A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers.
CoRR, 2019

Quaternion Knowledge Graph Embedding.
CoRR, 2019

Special issue on recommender system.
CCF Trans. Pervasive Comput. Interact., 2019

Internet of things search engine.
Commun. ACM, 2019

Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals.
Aust. J. Intell. Inf. Process. Syst., 2019

Adversarial Collaborative Neural Network for Robust Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Mobile golf swing tracking using deep learning with data fusion: poster abstract.
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

Similarity-Aware Deep Attentive Model for Clickbait Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Quaternion Knowledge Graph Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Adversarial Variational Embedding for Robust Semi-supervised Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Adversarial Collaborative Auto-encoder for Top-N Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2019

Dual-stream Self-Attentive Random Forest for False Information Detection.
Proceedings of the International Joint Conference on Neural Networks, 2019

DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Multi-agent Attentional Activity Recognition.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Quaternion Collaborative Filtering for Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

DeepRec: An Open-source Toolkit for Deep Learning based Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Passenger Demographic Attributes Prediction for Human-Centered Public Transport.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Collective Protection: Preventing Sensitive Inferences via Integrative Transformation.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Learning Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Learning to Hash for Efficient Search Over Incomplete Knowledge Graphs.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Domain-Aware Unsupervised Cross-dataset Person Re-identification.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

Expert2Vec: Distributed Expert Representation Learning in Question Answering Community.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

Reminder Care System: An Activity-Aware Cross-Device Recommendation System.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

Holographic Factorization Machines for Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Zero-Shot Object Detection with Textual Descriptions.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Distributionally Robust Semi-Supervised Learning for People-Centric Sensing.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Learning-based SPARQL query performance modeling and prediction.
World Wide Web, 2018

Collaborative text categorization via exploiting sparse coefficients.
World Wide Web, 2018

A Learning-Based Framework for Improving Querying on Web Interfaces of Curated Knowledge Bases.
ACM Trans. Internet Techn., 2018

Collaborative Location Recommendation by Integrating Multi-dimensional Contextual Information.
ACM Trans. Internet Techn., 2018

Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength.
IEEE Trans. Mob. Comput., 2018

Device-free human localization and tracking with UHF passive RFID tags: A data-driven approach.
J. Netw. Comput. Appl., 2018

A Survey on Expert Recommendation in Community Question Answering.
J. Comput. Sci. Technol., 2018

A sensor-based wrist pulse signal processing and lung cancer recognition.
J. Biomed. Informatics, 2018

An Internet of Things Based Multi-Level Privacy-Preserving Access Control for Smart Living.
Informatics, 2018

MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Internet of Things Search Engine: Concepts, Classification, and Open Issues.
CoRR, 2018

Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding.
CoRR, 2018

Next Item Recommendation with Self-Attention.
CoRR, 2018

GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest.
CoRR, 2018

Position and Distance: Recommendation beyond Matrix Factorization.
CoRR, 2018

Adversarially Regularized Graph Autoencoder.
CoRR, 2018

Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks.
CoRR, 2018

WITS: an IoT-endowed computational framework for activity recognition in personalized smart homes.
Computing, 2018

Data-Augmented Regression with Generative Convolutional Network.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

DUAL: A Deep Unified Attention Model with Latent Relation Representations for Fake News Detection.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Passenger Demand Prediction with Cellular Footprints.
Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018

EEG-based Motion Intention Recognition via Multi-task RNNs.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications, 2018

Fuzzy Integral Optimization with Deep Q-Network for EEG-Based Intention Recognition.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Mining POI Alias from Microblog Conversations.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics.
Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

Automatic Device Classification from Network Traffic Streams of Internet of Things.
Proceedings of the 43rd IEEE Conference on Local Computer Networks, 2018

Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

NeuRec: On Nonlinear Transformation for Personalized Ranking.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi-modality Sensor Data Classification with Selective Attention.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Adversarially Regularized Graph Autoencoder for Graph Embedding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Industry 4.0, How to Integrate Legacy Devices: A Cloud IoT Approach.
Proceedings of the IECON 2018, 2018

Coupled Linear and Deep Nonlinear Method for Meetup Service Recommendation.
Proceedings of the Web Services - ICWS 2018, 2018

Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit.
Proceedings of the IEEE International Conference on Data Mining, 2018

A Simulation Approach for Studying Behavior and Quality of Blockchain Networks.
Proceedings of the Blockchain - ICBC 2018, 2018

Ready for Use: Subject-Independent Movement Intention Recognition via a Convolutional Attention Model.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Trace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant Analysis.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Efficient computation of distance labeling for decremental updates in large dynamic graphs.
World Wide Web, 2017

Learning Multiple Diagnosis Codes for ICU Patients with Local Disease Correlation Mining.
ACM Trans. Knowl. Discov. Data, 2017

Unveiling Correlations via Mining Human-Thing Interactions in the Web of Things.
ACM Trans. Intell. Syst. Technol., 2017

Searching for the internet of things: where it is and what it looks like.
Pers. Ubiquitous Comput., 2017

Searching the Web of Things: State of the Art, Challenges, and Solutions.
ACM Comput. Surv., 2017

Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition.
CoRR, 2017

EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks.
CoRR, 2017

Deep Learning based Recommender System: A Survey and New Perspectives.
CoRR, 2017

Enhancing Mind Controlled Smart Living Through Recurrent Neural Networks.
CoRR, 2017

DeepKey: An EEG and Gait Based Dual-Authentication System.
CoRR, 2017

Dynamic Intention-Aware Recommendation System.
CoRR, 2017

A Kernel-Based Approach to Developing Adaptable and Reusable Sensor Retrieval Systems for the Web of Things.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis.
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

Interpolating the Missing Values for Multi-Dimensional Spatial-Temporal Sensor Data: A Tensor SVD Approach.
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

Gait Optimization for Multiple Humanoid Robots Based on Parallel Multi-swarm Particle Swarm Algorithm.
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

Multi-Level Privacy-Preserving Access Control as a Service for Personal Healthcare Monitoring.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Expert as a Service: Software Expert Recommendation via Knowledge Domain Embeddings in Stack Overflow.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Fall Detection Using Smartwatch Sensor Data with Accessor Architecture.
Proceedings of the Smart Health - International Conference, 2017

Hybrid Collaborative Recommendation via Semi-AutoEncoder.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Intent Recognition in Smart Living Through Deep Recurrent Neural Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

SourceVote: Fusing Multi-valued Data via Inter-source Agreements.
Proceedings of the Conceptual Modeling - 36th International Conference, 2017

Fault Detection and Localization in Distributed Systems Using Recurrent Convolutional Neural Networks.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

Calling for Response: Automatically Distinguishing Situation-Aware Tweets During Crises.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

Building Entity Graphs for the Web of Things Management.
Proceedings of the Managing the Web of Things: Linking the Real World to the Web, 2017

Preface.
Proceedings of the Managing the Web of Things: Linking the Real World to the Web, 2017

2016
Multi-label classification via learning a unified object-label graph with sparse representation.
World Wide Web, 2016

CloudArmor: Supporting Reputation-Based Trust Management for Cloud Services.
IEEE Trans. Parallel Distributed Syst., 2016

Things of Interest Recommendation by Leveraging Heterogeneous Relations in the Internet of Things.
ACM Trans. Internet Techn., 2016

Diagnosis Code Assignment Using Sparsity-Based Disease Correlation Embedding.
IEEE Trans. Knowl. Data Eng., 2016

Searching for the Internet of Things on the Web: Where It Is and What It Looks Like.
CoRR, 2016

Device-free indoor localization and tracking through Human-Object Interactions.
Proceedings of the 17th IEEE International Symposium on A World of Wireless, 2016

Learning-Based SPARQL Query Performance Prediction.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

SECF: improving SPARQL querying performance with proactive fetching and caching.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Uncovering Locally Discriminative Structure for Feature Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

HOI-Loc: Towards unobstructive human localization with probabilistic multi-sensor fusion.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

PreventDark: Automatically detecting and preventing problematic use of smartphones in darkness.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

PLMwsp: Probabilistic Latent Model for Web Service QoS Prediction.
Proceedings of the IEEE International Conference on Web Services, 2016

Context as a Service: Realizing Internet of Things-Aware Processes for the Independent Living of the Elderly.
Proceedings of the Service-Oriented Computing - 14th International Conference, 2016

Learning from less for better: semi-supervised activity recognition via shared structure discovery.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Approximate Semantic Matching over Linked Data Streams.
Proceedings of the Database and Expert Systems Applications, 2016

Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Empowering Truth Discovery with Multi-Truth Prediction.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Truth Discovery via Exploiting Implications from Multi-Source Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Identification as a Service: Large-Scale Cloud Service Discovery over the World Wide Web.
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

Recognizing Daily Living Activity Using Embedded Sensors in Smartphones: A Data-Driven Approach.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015
Unified Collaborative and Content-Based Web Service Recommendation.
IEEE Trans. Serv. Comput., 2015

Guest Editorial: Big Data Analytics and the Web.
IEEE Trans. Big Data, 2015

A simulation method for social networks.
Soc. Netw. Anal. Min., 2015

Web-Based Management of the Internet of Things.
IEEE Internet Comput., 2015

Unveiling Contextual Similarity of Things via Mining Human-Thing Interactions in the Internet of Things.
CoRR, 2015

Up in the Air: When Homes Meet the Web of Things.
CoRR, 2015

RF-Care: Device-Free Posture Recognition for Elderly People Using A Passive RFID Tag Array.
EAI Endorsed Trans. Ambient Syst., 2015

ECS: A Framework for Diversified and Relevant Search in the Internet of Things.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Context-aware Point-of-Interest Recommendation Using Tensor Factorization with Social Regularization.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Unsupervised Feature Analysis with Class Margin Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags.
Proceedings of the 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2015

Service Recommendation for Mashup Composition with Implicit Correlation Regularization.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Unobtrusive Posture Recognition via Online Learning of Multi-dimensional RFID Received Signal Strength.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

Freedom: Online Activity Recognition via Dictionary-Based Sparse Representation of RFID Sensing Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

An Integrated Bayesian Approach for Effective Multi-Truth Discovery.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Approximate Truth Discovery via Problem Scale Reduction.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Commitments to Regulate Social Web Services Operation.
IEEE Trans. Serv. Comput., 2014

Behavior modeling and automated verification of Web services.
Inf. Sci., 2014

Keyword Search over Web Documents Based on Earth Mover's Distance.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Exploring recommendations in internet of things.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

ServiceXplorer: a similarity-based web service search engine.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

ThingsNavi: finding most-related things via multi-dimensional modeling of human-thing interactions.
Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, 2014

TagTrack: device-free localization and tracking using passive RFID tags.
Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, 2014

Keeping You in the Loop: Enabling Web-based Things Management in the Internet of Things.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Exploring Tag-Free RFID-Based Passive Localization and Tracking via Learning-Based Probabilistic Approaches.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Correlation discovery in web of things.
Proceedings of the 22nd International World Wide Web Conference, 2013

Recommending Web Services via Combining Collaborative Filtering with Content-Based Features.
Proceedings of the 2013 IEEE 20th International Conference on Web Services, Santa Clara, CA, USA, June 28, 2013

A Model for Discovering Correlations of Ubiquitous Things.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

A Practical Simulation Method for Social Networks.
Proceedings of the First Australasian Web Conference, 2013

The 3<sup>rd</sup> International Workshop on Internet of Ubiquitous and Pervasive Things IUPT'2013 Preface.
Proceedings of the 4th International Conference on Ambient Systems, 2013

2012
A synergy between context-aware policies and AOP to achieve highly adaptable Web services.
Serv. Oriented Comput. Appl., 2012

Achieving High Availability of Web Services Based on A Particle Filtering Approach.
Int. J. Next Gener. Comput., 2012

Towards a User-Centric Social Approach to Web Services Composition, Execution, and Monitoring.
Proceedings of the Web Information Systems Engineering - WISE 2012, 2012

PeerTrack: a platform for tracking and tracing objects in large-scale traceability networks.
Proceedings of the 15th International Conference on Extending Database Technology, 2012

A tag-centric discriminative model for web objects classification.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Exploiting latent relevance for relational learning of ubiquitous things.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Particle Filtering Based Availability Prediction for Web Services.
Proceedings of the Service-Oriented Computing - 9th International Conference, 2011

A Propagation Model for Integrating Web of Things and Social Networks.
Proceedings of the Service-Oriented Computing - ICSOC 2011 Workshops, 2011


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