Xiaoli Li

Affiliations:
  • A*Star, Institute for Infocomm Research, Singapore


According to our database1, Xiaoli Li authored at least 269 papers between 2000 and 2024.

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

Timeline

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Online presence:

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Bibliography

2024
An Adaptive and Dynamical Neural Network for Machine Remaining Useful Life Prediction.
IEEE Trans. Ind. Informatics, February, 2024

Self-Supervised Autoregressive Domain Adaptation for Time Series Data.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Multivariate Time-Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network.
IEEE Trans. Artif. Intell., January, 2024

Exploring global information for session-based recommendation.
Pattern Recognit., January, 2024

MetaEmotionNet: Spatial-Spectral-Temporal-Based Attention 3-D Dense Network With Meta-Learning for EEG Emotion Recognition.
IEEE Trans. Instrum. Meas., 2024

Self-evolving Autoencoder Embedded Q-Network.
CoRR, 2024

Evolving Restricted Boltzmann Machine-Kohonen Network for Online Clustering.
CoRR, 2024

CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition.
CoRR, 2024

2023
Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Identifying implicit emotions via hierarchical structure and rhetorical correlation.
Int. J. Mach. Learn. Cybern., November, 2023

A divide and conquer framework for Knowledge Editing.
Knowl. Based Syst., November, 2023

A universal transfer network for machinery fault diagnosis.
Comput. Ind., October, 2023

A partially shared joint clustering framework for detecting protein complexes from multiple state-specific signed interaction networks.
Comput. Biol. Medicine, June, 2023

Reinforced Adaptation Network for Partial Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol., May, 2023

A strength pareto evolutionary algorithm based on adaptive reference points for solving irregular fronts.
Inf. Sci., May, 2023

Hierarchical neural network: Integrate divide-and-conquer and unified approach for argument unit recognition and classification.
Inf. Sci., May, 2023

Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article].
IEEE Comput. Intell. Mag., May, 2023

PASE: An autonomous sequential framework for the state estimation of dynamical systems.
Expert Syst. Appl., April, 2023

A Span-based Target-aware Relation Model for Frame-semantic Parsing.
ACM Trans. Asian Low Resour. Lang. Inf. Process., March, 2023

CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data.
IEEE J. Biomed. Health Informatics, February, 2023

ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

A Hybrid Accuracy- and Energy-Aware Human Activity Recognition Model in IoT Environment.
IEEE Trans. Sustain. Comput., 2023

ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data.
ACM Trans. Knowl. Discov. Data, 2023

Slow-Varying Dynamics-Assisted Temporal Capsule Network for Machinery Remaining Useful Life Estimation.
IEEE Trans. Cybern., 2023

A decentralized learning strategy to restore connectivity during multi-agent formation control.
Neurocomputing, 2023

A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life.
IEEE CAA J. Autom. Sinica, 2023

HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts.
CoRR, 2023

SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation.
CoRR, 2023

Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data.
CoRR, 2023

Graph Contextual Contrasting for Multivariate Time Series Classification.
CoRR, 2023

Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks.
CoRR, 2023

Unlimited Knowledge Distillation for Action Recognition in the Dark.
CoRR, 2023

S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning.
CoRR, 2023

Shall We Trust All Relational Tuples by Open Information Extraction? A Study on Speculation Detection.
CoRR, 2023

Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation.
CoRR, 2023

Label-efficient Time Series Representation Learning: A Review.
CoRR, 2023

Source-Free Domain Adaptation with Temporal Imputation for Time Series Data.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

COCO-TEACH: A Contrastive Co-Teaching Network For Incremental 3D Object Detection.
Proceedings of the IEEE International Conference on Image Processing, 2023

Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Hierarchical Enhancement Framework for Aspect-based Argument Mining.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

From Speculation Detection to Trustworthy Relational Tuples in Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Open Information Extraction via Chunks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Semi-Supervised Deep Adversarial Forest for Cross-Environment Localization.
IEEE Trans. Veh. Technol., 2022

Conditional Contrastive Domain Generalization for Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022

Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction.
IEEE Trans. Instrum. Meas., 2022

KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction.
IEEE Trans. Ind. Electron., 2022

Guest Editorial Special Issue on Computational Intelligence for IoT-based Human Activity Recognition.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

A Meta Path Based Method for Entity Set Expansion in Knowledge Graph.
IEEE Trans. Big Data, 2022

Incorporate opinion-towards for stance detection.
Knowl. Based Syst., 2022

Significance of activation functions in developing an online classifier for semiconductor defect detection.
Knowl. Based Syst., 2022

A multi-objective evolutionary algorithm based on niche selection in solving irregular Pareto fronts.
J. Intell. Fuzzy Syst., 2022

Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks.
Neurocomputing, 2022

Planning sequential interventions to tackle depression in large uncertain social networks using deep reinforcement learning.
Neurocomputing, 2022

Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction.
IEEE CAA J. Autom. Sinica, 2022

CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup.
CoRR, 2022

Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey.
CoRR, 2022

Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation.
CoRR, 2022

EXTERN: Leveraging Endo-Temporal Regularization for Black-box Video Domain Adaptation.
CoRR, 2022

A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges.
CoRR, 2022

Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study.
CoRR, 2022

Pre-training graph neural networks for link prediction in biomedical networks.
Bioinform., 2022

HTKG: Deep Keyphrase Generation with Neural Hierarchical Topic Guidance.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Hyperbolic Deep Keyphrase Generation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Rotating Machinery Fault Diagnosis Based on Multi-sensor Information Fusion Using Graph Attention Network.
Proceedings of the 17th International Conference on Control, 2022

Syntactic Multi-view Learning for Open Information Extraction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DO-GAN: A Double Oracle Framework for Generative Adversarial Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification.
ACM Trans. Inf. Syst., 2021

Metagraph-Based Learning on Heterogeneous Graphs.
IEEE Trans. Knowl. Data Eng., 2021

Multi-View Collaborative Network Embedding.
ACM Trans. Knowl. Discov. Data, 2021

Prediction of Synthetic Lethal Interactions in Human Cancers Using Multi-View Graph Auto-Encoder.
IEEE J. Biomed. Health Informatics, 2021

An Attention Based CNN-LSTM Approach for Sleep-Wake Detection With Heterogeneous Sensors.
IEEE J. Biomed. Health Informatics, 2021

Degradation-Aware Remaining Useful Life Prediction With LSTM Autoencoder.
IEEE Trans. Instrum. Meas., 2021

Adversarial Multiple-Target Domain Adaptation for Fault Classification.
IEEE Trans. Instrum. Meas., 2021

Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction.
IEEE Trans. Ind. Informatics, 2021

Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach.
IEEE Trans. Ind. Electron., 2021

A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Frame-based Neural Network for Machine Reading Comprehension.
Knowl. Based Syst., 2021

Frame-based Multi-level Semantics Representation for text matching.
Knowl. Based Syst., 2021

Frame Semantics guided network for Abstractive Sentence Summarization.
Knowl. Based Syst., 2021

A many-objective evolutionary algorithm based on vector angle distance scaling.
J. Intell. Fuzzy Syst., 2021

Attention-based sequence to sequence model for machine remaining useful life prediction.
Neurocomputing, 2021

Deep learning for human activity recognition.
Neurocomputing, 2021

Multiple perspective attention based on double BiLSTM for aspect and sentiment pair extract.
Neurocomputing, 2021

Entity set expansion in knowledge graph: a heterogeneous information network perspective.
Frontiers Comput. Sci., 2021

Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification.
CoRR, 2021

FFConv: Fast Factorized Neural Network Inference on Encrypted Data.
CoRR, 2021

Graph contextualized attention network for predicting synthetic lethality in human cancers.
Bioinform., 2021

Recent advances in network-based methods for disease gene prediction.
Briefings Bioinform., 2021

RST Parsing from Scratch.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream Classification.
Proceedings of the 2021 International Conference on Data Mining, 2021

Deep Reinforcement Learning Boosted Partial Domain Adaptation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Time-Series Representation Learning via Temporal and Contextual Contrasting.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Integrating Semantic Scenario and Word Relations for Abstractive Sentence Summarization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Frame Semantic-Enhanced Sentence Modeling for Sentence-level Extractive Text Summarization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

A Knowledge-Guided Framework for Frame Identification.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Conditional Splitting Framework for Efficient Constituency Parsing.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

DocOIE: A Document-level Context-Aware Dataset for OpenIE.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Classification of Travel Patterns Including Wandering Based on Bi-directional Long Short-Term Memory Networks.
Proceedings of the Generalization with Deep Learning: For Improvement on Sensing Capability, 2021

2020
Combine Topic Modeling with Semantic Embedding: Embedding Enhanced Topic Model.
IEEE Trans. Knowl. Data Eng., 2020

Smartphone Sensor-Based Human Activity Recognition Using Feature Fusion and Maximum Full a Posteriori.
IEEE Trans. Instrum. Meas., 2020

SL<sup>2</sup>MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

CFSRE: Context-aware based on frame-semantics for distantly supervised relation extraction.
Knowl. Based Syst., 2020

PM2.5 Estimation Based on Image Analysis.
KSII Trans. Internet Inf. Syst., 2020

A neural model for joint event detection and prediction.
Neurocomputing, 2020

Exploiting Repeated Behavior Pattern and Long-term Item dependency for Session-based Recommendation.
CoRR, 2020

Exploring Global Information for Session-based Recommendation.
CoRR, 2020

Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction.
CoRR, 2020

Modeling Marked Temporal Point Process Using Multi-relation Structure RNN.
Cogn. Comput., 2020

A graph regularized generalized matrix factorization model for predicting links in biomedical bipartite networks.
Bioinform., 2020

Predicting human microbe-drug associations via graph convolutional network with conditional random field.
Bioinform., 2020

Aspect-Context Interactive Attention Representation for Aspect-Level Sentiment Classification.
IEEE Access, 2020

HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Global Context Enhanced Graph Neural Networks for Session-based Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Multi-domain Transfer Learning for Text Classification.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Adversarial Transfer Learning for Machine Remaining Useful Life Prediction.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading.
Proceedings of the IEEE International Conference on Image Processing, 2020

Mahalanobis Distance Based Adversarial Network for Anomaly Detection.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Public Sentiment Drift Analysis Based on Hierarchical Variational Auto-encoder.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Deep learning with long short-term memory networks for classification of dementia related travel patterns.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

WEKE: Learning Word Embeddings for Keyphrase Extraction.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

We Mind Your Well-Being: Preventing Depression in Uncertain Social Networks by Sequential Interventions.
Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020

Differentiable Window for Dynamic Local Attention.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Efficient Constituency Parsing by Pointing.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Frame-based Sentence Representation for Machine Reading Comprehension.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Cooperative Hybrid Semi-Supervised Learning for Text Sentiment Classification.
Symmetry, 2019

Computational prediction of drug-target interactions using chemogenomic approaches: an empirical survey.
Briefings Bioinform., 2019

Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Mobile Robot Routing with Energy Consumption Optimization.
Proceedings of the ICRAI 2019: 5th International Conference on Robotics and Artificial Intelligence, 2019

Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Deep Learning Approach for Sleep-Wake Detection from HRV and Accelerometer Data.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018
Hyperbolic Recommender Systems.
CoRR, 2018

Adversarial adaptive 1-D convolutional neural networks for bearing fault diagnosis under varying working condition.
CoRR, 2018

Attention-based Group Recommendation.
CoRR, 2018

Intelligent Fault Diagnosis Under Varying Working Conditions Based on Domain Adaptive Convolutional Neural Networks.
IEEE Access, 2018

A Generalized Predictive Framework for Data Driven Prognostics and Diagnostics using Machine Logs.
Proceedings of the TENCON 2018, 2018

Category Multi-representation: A Unified Solution for Named Entity Recognition in Clinical Texts.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

A Heterogeneous Information Network Method for Entity Set Expansion in Knowledge Graph.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Using PageRank for Characterizing Topic Quality in LDA.
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018

Is a Common Phrase an Entity Mention or Not? Dual Representations for Domain-Specific Named Entity Recognition.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
Learning to Align Comments to News Topics.
ACM Trans. Inf. Syst., 2017

Network Motif Discovery: A GPU Approach.
IEEE Trans. Knowl. Data Eng., 2017

Protein Complex Detection via Effective Integration of Base Clustering Solutions and Co-Complex Affinity Scores.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Guest Editorial: Special Section on Biological Data Mining and Its Applications in Healthcare.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

FREERL: Fusion relation embedded representation learning framework for aspect extraction.
Knowl. Based Syst., 2017

Low-rank decomposition meets kernel learning: A generalized Nyström method.
Artif. Intell., 2017

Entity Set Expansion with Meta Path in Knowledge Graph.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Multiple Medoids based Multi-view Relational Fuzzy Clustering with Minimax Optimization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Learning User Dependencies for Recommendation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

MIKE: Keyphrase Extraction by Integrating Multidimensional Information.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

People-Centric Mobile Crowdsensing Platform for Urban Design.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

Mobile Robot Scheduling with Multiple Trips and Time Windows.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Incorporating Expert Knowledge into Keyphrase Extraction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction.
PLoS Comput. Biol., 2016

Variable-Length Hashing.
CoRR, 2016

Incremental Minimax Optimization based Fuzzy Clustering for Large Multi-view Data.
CoRR, 2016

Learning Optimal Social Dependency for Recommendation.
CoRR, 2016

Keyphrase Extraction using Sequential Labeling.
CoRR, 2016

A two-layer integration framework for protein complex detection.
BMC Bioinform., 2016

Drug-target interaction prediction via class imbalance-aware ensemble learning.
BMC Bioinform., 2016

Efficient Multi-Class Selective Sampling on Graphs.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Learning Correlative and Personalized Structure for Online Multi-Task Classification.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

On finding the maximum edge biclique in a bipartite graph: a subspace clustering approach.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Detecting Public Influence on News Using Topic-Aware Dynamic Granger Test.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Social Identity Link Across Incomplete Social Information Sources Using Anchor Link Expansion.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Meta-cognitive Regression Neural Network for function approximation: Application to Remaining Useful Life estimation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Exploring the Context of Locations for Personalized Location Recommendations.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Semantic proximity search on graphs with metagraph-based learning.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Domain-Specific Entity Linking via Fake Named Entity Detection.
Proceedings of the Database Systems for Advanced Applications, 2016

Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life.
Proceedings of the Database Systems for Advanced Applications, 2016

2015
Predicting essential genes and synthetic lethality via influence propagation in signaling pathways of cancer cell fates.
J. Bioinform. Comput. Biol., 2015

Introduction to the CSBio2014 special issue.
J. Bioinform. Comput. Biol., 2015

Classification and its application to drug-target interaction prediction.
CoRR, 2015

Orthogonal mechanism for answering batch queries with differential privacy.
Proceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015

Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Achieving Accuracy Guarantee for Answering Batch Queries with Differential Privacy.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Stochastic least squares learning for deep architectures.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Deep Convolutional Neural Networks on Multichannel Time Series for Human Activity Recognition.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Behaviors and Profit Based Sales Campaign Design.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Analysis of the noise robustness problem and a new blind channel identification algorithm.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

An Aggressive Graph-Based Selective Sampling Algorithm for Classification.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

CDR-To-MoVis: Developing a Mobility Visualization System from CDR data.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

TSDPMM: Incorporating Prior Topic Knowledge into Dirichlet Process Mixture Models for Text Clustering.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

EMNLP versus ACL: Analyzing NLP research over time.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

A Synthetic Minority Oversampling Method Based on Local Densities in Low-Dimensional Space for Imbalanced Learning.
Proceedings of the Database Systems for Advanced Applications, 2015

Measuring the Influence from User-Generated Content to News via Cross-dependence Topic Modeling.
Proceedings of the Database Systems for Advanced Applications, 2015

Where you Instagram?: Associating Your Instagram Photos with Points of Interest.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Learning Topic Hierarchies for Wikipedia Categories.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Human activity classification in people centric sensing exploiting sparseness measurement.
Proceedings of the 10th International Conference on Information, 2015

2014
Microbial community pattern detection in human body habitats via ensemble clustering framework.
BMC Syst. Biol., 2014

Finding trans-regulatory genes and protein complexes modulating meiotic recombination hotspots of human, mouse and yeast.
BMC Syst. Biol., 2014

Detecting temporal protein complexes from dynamic protein-protein interaction networks.
BMC Bioinform., 2014

Class Augmented Active Learning.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Document Analysis and Retrieval Tasks in Scientific Digital Libraries.
Proceedings of the Information Retrieval, 2014

Activity Recognition Using a Few Label Samples.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Oscillation Resolution for Mobile Phone Cellular Tower Data to Enable Mobility Modelling.
Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

Home and Work Place Prediction for Urban Planning Using Mobile Network Data.
Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

An Interactive Analytics Tool for Understanding Location Semantics and Mobility of Users Using Mobile Network Data.
Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Rule-Based Classification.
Proceedings of the Data Classification: Algorithms and Applications, 2014

2013
Integrated Oversampling for Imbalanced Time Series Classification.
IEEE Trans. Knowl. Data Eng., 2013

Multi-Resolution-Test for Consistent phenotype Discrimination and biomarker Discovery in Translational Bioinformatics.
J. Bioinform. Comput. Biol., 2013

Drug-target interaction prediction by learning from local information and neighbors.
Bioinform., 2013

What Users Care About: A Framework for Social Content Alignment.
Proceedings of the IJCAI 2013, 2013

Meta-analysis of Genomic and Proteomic Features to Predict Synthetic Lethality of Yeast and Human Cancer.
Proceedings of the ACM Conference on Bioinformatics, 2013

2012
Ensemble Based Real-Time Adaptive Classification System for Intelligent Sensing Machine Diagnostics.
IEEE Trans. Reliab., 2012

Discovery of Protein Complexes with Core-Attachment Structures from Tandem Affinity Purification (TAP) Data.
J. Comput. Biol., 2012

Positive-unlabeled learning for disease gene identification.
Bioinform., 2012

Globalized bipartite local model for drug-target interaction prediction.
Proceedings of the 11th International Workshop on Data Mining in Bioinformatics, 2012

An NER-based Product Identification and Lucene-based Product Linking Approach to CPROD1 Challenge: Description of Submission System to CPROD1 Challenge.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

An integrated framework for human activity recognition.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

An integrated framework for human activity classification.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

Real-time adaptive classification system for intelligent sensing in manufacturing environment A feasibility study.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Effective Next-Items Recommendation via Personalized Sequential Pattern Mining.
Proceedings of the Database Systems for Advanced Applications, 2012

Ensemble Based Positive Unlabeled Learning for Time Series Classification.
Proceedings of the Database Systems for Advanced Applications, 2012

NetPipe: a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2011
Multi-resolution independent component analysis for high-performance tumor classification and biomarker discovery.
BMC Bioinform., 2011

Construction of co-complex score matrix for protein complex prediction from AP-MS data.
Bioinform., 2011

Positive Unlabeled Leaning for Time Series Classification.
Proceedings of the IJCAI 2011, 2011

SPO: Structure Preserving Oversampling for Imbalanced Time Series Classification.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

ECODE: Event-Based Community Detection from Social Networks.
Proceedings of the Database Systems for Advanced Applications, 2011

Integrating Community Question and Answer Archives.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Integrating diverse biological and computational sources for reliable protein-protein interactions.
BMC Bioinform., 2010

Negative Training Data Can be Harmful to Text Classification.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

A possible mutation that enables H1N1 influenza a virus to escape antibody recognition.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

Distributional Similarity vs. PU Learning for Entity Set Expansion.
Proceedings of the ACL 2010, 2010

2009
Positive Unlabelled Learning for Document Classification.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

A core-attachment based method to detect protein complexes in PPI networks.
BMC Bioinform., 2009

Positive Unlabeled Learning for Data Stream Classification.
Proceedings of the SIAM International Conference on Data Mining, 2009

Searching for Rising Stars in Bibliography Networks.
Proceedings of the Database Systems for Advanced Applications, 2009

2008
Inferring Transcription Factor interactions using a novel HV-SVM classifier.
Int. J. Comput. Biol. Drug Des., 2008

A Unified Scoring Scheme for Detecting Essential Proteins in Protein Interaction Networks.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

2007
Learning to Identify Unexpected Instances in the Test Set.
Proceedings of the IJCAI 2007, 2007

The Analysis of Bullwhip Effect in Supply Chain Based on Strategic Alliance.
Proceedings of the Integration and Innovation Orient to E-Society, 2007

Learning to Classify Documents with Only a Small Positive Training Set.
Proceedings of the Machine Learning: ECML 2007, 2007

An HV-SVM Classifier to Infer TF-TF Interactions Using Protein Domains and GO Annotations.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Improving domain-based protein interaction prediction using biologically-significant negative dataset.
Int. J. Data Min. Bioinform., 2006

Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method.
BMC Bioinform., 2006

Systematic Gene Function Prediction Using a Fuzzy Nearest-Cluster Method on Gene Expression Data.
Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006

2005
Protein Interaction Prediction Using Inferred Domain Interactions and Biologically-Significant Negative Dataset.
Proceedings of the Computational Science and Its Applications, 2005

Learning from Positive and Unlabeled Examples with Different Data Distributions.
Proceedings of the Machine Learning: ECML 2005, 2005

2004
Dealing with different distributions in learning from.
Proceedings of the 13th international conference on World Wide Web, 2004

Classifying Biomedical Citations without Labeled Training Examples.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Text Classification by Labeling Words.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Eliminating noisy information in Web pages for data mining.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Learning to Classify Texts Using Positive and Unlabeled Data.
Proceedings of the IJCAI-03, 2003

Building Text Classifiers Using Positive and Unlabeled Examples.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
Innovating Web Page Classification Through Reducing Noise.
J. Comput. Sci. Technol., 2002

A refinement approach to handling model misfit in text categorization.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Partially Supervised Classification of Text Documents.
Proceedings of the Machine Learning, 2002

Using micro information units for internet search.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

2000
A Document Classifier Based on Word Semantic Association.
Proceedings of the PRICAI 2000, Topics in Artificial Intelligence, 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, August 28, 2000


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