2025
Adapting to the stream: an instance-attention GNN method for irregular multivariate time series data.
Frontiers Comput. Sci., August, 2025
A boosting framework for positive-unlabeled learning.
Stat. Comput., February, 2025
Free-Knots Kolmogorov-Arnold Network: On the Analysis of Spline Knots and Advancing Stability.
CoRR, January, 2025
2024
An adaptive category-aware recommender based on dual knowledge graphs.
Inf. Process. Manag., March, 2024
Makespan minimization for workflows with multiple privacy levels.
Future Gener. Comput. Syst., 2024
The evolution of object detection methods.
Eng. Appl. Artif. Intell., 2024
Toward Efficient Data-Free Unlearning.
CoRR, 2024
Revisited Large Language Model for Time Series Analysis through Modality Alignment.
CoRR, 2024
Boosting Certified Robustness for Time Series Classification with Efficient Self-Ensemble.
CoRR, 2024
Correlation Analysis of Adversarial Attack in Time Series Classification.
CoRR, 2024
Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis.
CoRR, 2024
Enhancing Financial Market Predictions: Causality-Driven Feature Selection.
CoRR, 2024
GENIU: A Restricted Data Access Unlearning for Imbalanced Data.
CoRR, 2024
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data.
CoRR, 2024
CaMU: Disentangling Causal Effects in Deep Model Unlearning.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Automatic, Meta and Human Evaluation for Multimodal Summarization with Multimodal Output.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Transforming Data Product Generation through Federated Learning: An Exploration of FL Applications in Data Ecosystems.
Proceedings of the IEEE International Conference on Web Services, 2024
Data-Product Catalogues: Envisioning with Knowledge-aware Natural Language Processing.
Proceedings of the IEEE International Conference on Web Services, 2024
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Large Covariance Estimation from Streaming Data with Knowledge-Based Sketch Matrix.
Proceedings of the Database Systems for Advanced Applications, 2024
Not All Negatives are Equally Negative: Soft Contrastive Learning for Unsupervised Sentence Representations.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Boosting Certificate Robustness for Time Series Classification with Efficient Self-Ensemble.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Distributed Industrial Digital Twinning Scheme in 6G Future Scenarios.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024
Mining Irregular Time Series Data with Noisy Labels: A Risk Estimation Approach.
Proceedings of the Databases Theory and Applications, 2024
2023
Death comes but why: A multi-task memory-fused prediction for accurate and explainable illness severity in ICUs.
World Wide Web (WWW), November, 2023
MSN: Mapless Short-Range Navigation Based on Time Critical Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., August, 2023
Pre-training in Medical Data: A Survey.
Mach. Intell. Res., April, 2023
T-PORP: A Trusted Parallel Route Planning Model on Dynamic Road Networks.
IEEE Trans. Intell. Transp. Syst., January, 2023
Artificial Intelligence in Evidence-based Medicine: Challenges and Opportunities.
World Sci. Annu. Rev. Artif. Intell., 2023
Demo Abstract: Navigating Indoors: A Cost-effective Drone-based Solution.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023
Words Can Be Confusing: Stereotype Bias Removal in Text Classification at the Word Level.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
A Progressive Sampling Method for Dual-Node Imbalanced Learning with Restricted Data Access.
Proceedings of the IEEE International Conference on Data Mining, 2023
SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series.
Proceedings of the IEEE International Conference on Knowledge Graph, 2023
Oyster Mushroom Growth Stage Identification: An Exploration of Computer Vision Technologies.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
Graph Convolution Synthetic Transformer for Chronic Kidney Disease Onset Prediction.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
2022
A Boosting Algorithm for Positive-Unlabeled Learning.
CoRR, 2022
Towards Better Generalization for Neural Network-Based SAT Solvers.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
GISDCN: A Graph-Based Interpolation Sequential Recommender with Deformable Convolutional Network.
Proceedings of the Database Systems for Advanced Applications, 2022
Improving Traffic Load Prediction with Multi-modality - A Case Study of Brisbane.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022
What Leads to Arrhythmia: Active Causal Representation Learning of ECG Classification.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
Investigating Active Positive-Unlabeled Learning with Deep Networks.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022
SSCG: Spatial Subcluster Clustering Method by Grid-Connection.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022
Improving Motor Imagery Intention Recognition via Local Relation Networks.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022
Death Comes But Why: An Interpretable Illness Severity Predictions in ICU.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022
2021
Exploring BCI Control in Smart Environments: Intention Recognition Via EEG Representation Enhancement Learning.
ACM Trans. Knowl. Discov. Data, 2021
Blockchain-Based Trust Management Model for Location Privacy Preserving in VANET.
IEEE Trans. Intell. Transp. Syst., 2021
Adversarially regularized medication recommendation model with multi-hop memory network.
Knowl. Inf. Syst., 2021
Efficient search over incomplete knowledge graphs in binarized embedding space.
Future Gener. Comput. Syst., 2021
Fine-Grained Evaluation of Knowledge Graph Embedding Model in Knowledge Enhancement Downstream Tasks.
Big Data Res., 2021
CSIP: Enhanced Link Prediction with Context of Social Influence Propagation.
Big Data Res., 2021
Self-Supervised Adversarial Distribution Regularization for Medication Recommendation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Positive-Unlabeled Learning from Imbalanced Data.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Diagnosis Ranking with Knowledge Graph Convolutional Networks.
Proceedings of the Advances in Information Retrieval, 2021
Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition.
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021
Intention Recognition from Spatio-Temporal Representation of EEG Signals.
Proceedings of the Databases Theory and Applications, 2021
2020
Deep multi-task learning on time-series medical data
PhD thesis, 2020
Deep learning for heterogeneous medical data analysis.
World Wide Web, 2020
Graph augmented triplet architecture for fine-grained patient similarity.
World Wide Web, 2020
AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction.
World Wide Web, 2020
Active cross-query learning: A reliable labeling mechanism via crowdsourcing for smart surveillance.
Comput. Commun., 2020
Combining Chrominance Features and Fast ICA for Noncontact Imaging Photoplethysmography.
IEEE Access, 2020
2019
A survey of sentiment analysis in social media.
Knowl. Inf. Syst., 2019
MMM: Multi-source Multi-net Micro-video Recommendation with Clustered Hidden Item Representation Learning.
Data Sci. Eng., 2019
IFFLC: An Integrated Framework of Feature Learning and Classification for Multiple Diagnosis Codes Assignment.
IEEE Access, 2019
Finding the Key Influences on the House Price by Finite Mixture Model Based on the Real Estate Data in Changchun.
Proceedings of the Database Systems for Advanced Applications, 2019
Leveraging Knowledge Graph Embeddings for Natural Language Question Answering.
Proceedings of the Database Systems for Advanced Applications, 2019
Learning Fine-Grained Patient Similarity with Dynamic Bayesian Network Embedded RNNs.
Proceedings of the Database Systems for Advanced Applications, 2019
DMMAM: Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis.
Proceedings of the Database Systems for Advanced Applications, 2019
Multi-source Multi-net Micro-video Recommendation with Hidden Item Category Discovery.
Proceedings of the Database Systems for Advanced Applications, 2019
DBRec: Dual-Bridging Recommendation via Discovering Latent Groups.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Robust Feature Selection Based on Fuzzy Rough Sets with Representative Sample.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019
Deep Interpretable Mortality Model for Intensive Care Unit Risk Prediction.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019
RecKGC: Integrating Recommendation with Knowledge Graph Completion.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019
DAMTRNN: A Delta Attention-Based Multi-task RNN for Intention Recognition.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019
2018
Answering why-not questions on semantic multimedia queries.
Multim. Tools Appl., 2018
EEG-based Motion Intention Recognition via Multi-task RNNs.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Treatment Recommendation in Critical Care: A Scalable and Interpretable Approach in Partially Observable Health States.
Proceedings of the International Conference on Information Systems, 2018
Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit.
Proceedings of the IEEE International Conference on Data Mining, 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
2017
Multi-factors based sentence ordering for cross-document fusion from multimodal content.
Neurocomputing, 2017
Efficient traffic congestion estimation using multiple spatio-temporal properties.
Neurocomputing, 2017
EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks.
CoRR, 2017
User Relation Prediction Based on Matrix Factorization and Hybrid Particle Swarm Optimization.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
People Opinion Topic Model: Opinion based User Clustering in Social Networks.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017
2016
Compact representation for large-scale unconstrained video analysis.
World Wide Web, 2016
Multi-task support vector machines for feature selection with shared knowledge discovery.
Signal Process., 2016
Learning Graph-based POI Embedding for Location-based Recommendation.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Dynamic Reverse Furthest Neighbor Querying Algorithm of Moving Objects.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016