Lina Yao
Orcid: 0000-0002-4149-839XAffiliations:
- 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 407 papers
between 2011 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
ACM Comput. Surv., February, 2025
2024
Attention-Aware Social Graph Transformer Networks for Stochastic Trajectory Prediction.
IEEE Trans. Knowl. Data Eng., November, 2024
ACM Trans. Intell. Syst. Technol., August, 2024
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
Computing, May, 2024
Hierarchical Constrained Variational Autoencoder for interaction-sparse recommendations.
Inf. Process. Manag., March, 2024
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
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
IEEE Trans. Multim., 2024
Knowl. Based Syst., 2024
Accelerating one-shot neural architecture search via constructing a sparse search space.
Knowl. Based Syst., 2024
CoRR, 2024
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models.
CoRR, 2024
Independence Constrained Disentangled Representation Learning from Epistemological Perspective.
CoRR, 2024
StyleSpeech: Parameter-efficient Fine Tuning for Pre-trained Controllable Text-to-Speech.
CoRR, 2024
CoRR, 2024
Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning.
CoRR, 2024
Modeling Pedestrian Intrinsic Uncertainty for Multimodal Stochastic Trajectory Prediction via Energy Plan Denoising.
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
Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems.
CoRR, 2024
Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models.
CoRR, 2024
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
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Attacking Visually-aware Recommender Systems with Transferable and Imperceptible Adversarial Styles.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
DFLStar: A Decentralized Federated Learning Framework with Self-Knowledge Distillation and Participant Selection.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Knowl. Based Syst., November, 2023
IEEE Trans. Neural Networks Learn. Syst., October, 2023
IEEE Trans. Knowl. Data Eng., October, 2023
Frontiers Comput. Sci., October, 2023
Intrinsically motivated reinforcement learning based recommendation with counterfactual data augmentation.
World Wide Web (WWW), September, 2023
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
Neural Comput. Appl., June, 2023
Neural Process. Lett., April, 2023
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
Knowl. Based Syst., March, 2023
Comput. Intell., February, 2023
IEEE Trans. Multim., 2023
IEEE Trans. Multim., 2023
Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis.
IEEE J. Biomed. Health Informatics, 2023
ACM Trans. Intell. Syst. Technol., 2023
Cure-GNN: A Robust Curvature-Enhanced Graph Neural Network Against Adversarial Attacks.
IEEE Trans. Dependable Secur. Comput., 2023
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation.
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
CoRR, 2023
CoRR, 2023
CoRR, 2023
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
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
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
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
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
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
Int. J. Intell. Syst., December, 2022
Proceedings of the Recommender Systems Handbook, 2022
AskMe: joint individual-level and community-level behavior interaction for question recommendation.
World Wide Web, 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Preventing Sensitive Information Leakage From Mobile Sensor Signals via Integrative Transformation.
IEEE Trans. Mob. Comput., 2022
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Circuits Syst. Video Technol., 2022
Pattern Recognit. Lett., 2022
Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding.
Knowl. Based Syst., 2022
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
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
Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus.
CoRR, 2022
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
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
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
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
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
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
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
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
Proceedings of the IEEE International Conference on Services Computing, 2022
Proceedings of the IEEE International Conference on Services Computing, 2022
2021
IEEE Trans. Serv. Comput., 2021
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
Pattern Recognit., 2021
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
Future Gener. Comput. Syst., 2021
Future Gener. Comput. Syst., 2021
The Future of False Information Detection on Social Media: New Perspectives and Trends.
ACM Comput. Surv., 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
CoRR, 2021
CoRR, 2021
RLTIR: Activity-based Interactive Person Identification based on Reinforcement Learning Tree.
CoRR, 2021
IEEE Access, 2021
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
Proceedings of the IEEE International Conference on Data Mining, 2021
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
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future, 2021
Proceedings of the Data Mining, 2021
Proceedings of the Databases Theory and Applications, 2021
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
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
IEEE Trans. Ind. Informatics, 2020
Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition.
IEEE Trans. Cybern., 2020
Sensors, 2020
Pattern Recognit. Lett., 2020
Software expert discovery via knowledge domain embeddings in a collaborative network.
Pattern Recognit. Lett., 2020
Pattern Recognit. Lett., 2020
Multim. Tools Appl., 2020
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
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
IEEE Intell. Syst., 2020
Expert Syst. Appl., 2020
Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding.
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
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
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
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
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
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
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
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
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
IEEE Trans. Serv. Comput., 2019
ACM Trans. Internet Techn., 2019
A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis.
IEEE Signal Process. Lett., 2019
Pattern Recognit., 2019
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
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
IEEE Internet Comput., 2019
ACM Comput. Surv., 2019
A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers.
CoRR, 2019
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals.
Aust. J. Intell. Inf. Process. Syst., 2019
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019
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
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
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
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
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
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
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
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
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
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
World Wide Web, 2018
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
J. Comput. Sci. Technol., 2018
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
CoRR, 2018
Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding.
CoRR, 2018
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
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
Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018
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
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
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
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
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the IECON 2018, 2018
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
Proceedings of the IEEE International Conference on Data Mining, 2018
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
ACM Trans. Intell. Syst. Technol., 2017
Pers. Ubiquitous Comput., 2017
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
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
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
Proceedings of the Smart Health - International Conference, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
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
Proceedings of the Managing the Web of Things: Linking the Real World to the Web, 2017
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
IEEE Trans. Parallel Distributed Syst., 2016
Things of Interest Recommendation by Leveraging Heterogeneous Relations in the Internet of Things.
ACM Trans. Internet Techn., 2016
IEEE Trans. Knowl. Data Eng., 2016
CoRR, 2016
Proceedings of the 17th IEEE International Symposium on A World of Wireless, 2016
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
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
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
Proceedings of the Database and Expert Systems Applications, 2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
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
IEEE Trans. Serv. Comput., 2015
Unveiling Contextual Similarity of Things via Mining Human-Thing Interactions in the Internet 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
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
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
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
2014
IEEE Trans. Serv. Comput., 2014
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014
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
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
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
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
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
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
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
Proceedings of the Service-Oriented Computing - 9th International Conference, 2011
Proceedings of the Service-Oriented Computing - ICSOC 2011 Workshops, 2011