2025
Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning.
ACM Trans. Inf. Syst., March, 2025
Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
SPEAR: A Structure-Preserving Manipulation Method for Graph Backdoor Attacks.
Proceedings of the ACM on Web Conference 2025, 2025
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025
2024
Personalized Prompt for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., July, 2024
Put Your Voice on Stage: Personalized Headline Generation for News Articles.
ACM Trans. Knowl. Discov. Data, April, 2024
Transductive Semi-Supervised Metric Network for Reject Inference in Credit Scoring.
IEEE Trans. Comput. Soc. Syst., April, 2024
Differential Sampling of AC Waveforms Based on a Commercial Digital-to-Analog Converter for Reference.
Sensors, April, 2024
Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Distillation with Explanations from Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
EFSA: Towards Event-Level Financial Sentiment Analysis.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., April, 2023
Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks.
IEEE Trans. Knowl. Data Eng., March, 2023
Combat data shift in few-shot learning with knowledge graph.
Frontiers Comput. Sci., 2023
Attacking Pre-trained Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Online Conversion Rate Prediction via Neural Satellite Networks in Delayed Feedback Advertising.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Matching Point of Interests and Travel Blog with Multi-view Information Fusion.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Lifting the Answer: Reranking Candidates on Data Augmented Text-to-SQL.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2023
Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding : Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Semantic-Driven Instance Generation for Table Question Answering.
Proceedings of the Database Systems for Advanced Applications, 2023
Leveraging Post-Click User Behaviors for Calibrated Conversion Rate Prediction Under Delayed Feedback in Online Advertising.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding.
IEEE Trans. Knowl. Data Eng., 2022
A Survey on Knowledge Graph-Based Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2022
Learning policy scheduling for text augmentation.
Neural Networks, 2022
Adaptively sharing multi-levels of distributed representations in multi-task learning.
Inf. Sci., 2022
Self-Supervised learning for Conversational Recommendation.
Inf. Process. Manag., 2022
Relation Reconstructive Binarization of word embeddings.
Frontiers Comput. Sci., 2022
Personalized Prompts for Sequential Recommendation.
CoRR, 2022
AUC-oriented Graph Neural Network for Fraud Detection.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Personalized Transfer of User Preferences for Cross-domain Recommendation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Selective Fairness in Recommendation via Prompts.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
User-Centric Conversational Recommendation with Multi-Aspect User Modeling.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Customized Conversational Recommender Systems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
CCAT-NET: A Novel Transformer Based Semi-Supervised Framework For Covid-19 Lung Lesion Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Multi-view Multi-behavior Contrastive Learning in Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2022
Bi-Level Selection via Meta Gradient for Graph-Based Fraud Detection.
Proceedings of the Database Systems for Advanced Applications, 2022
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Explainable Graph-based Fraud Detection via Neural Meta-graph Search.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Clustering-Enhanced Knowledge Graph Embedding.
Proceedings of the Big Data - 10th CCF Conference, 2022
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Temporal high-order proximity aware behavior analysis on Ethereum.
World Wide Web, 2021
Deep Subdomain Adaptation Network for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2021
Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction.
IEEE Trans. Knowl. Data Eng., 2021
A Comprehensive Survey on Transfer Learning.
Proc. IEEE, 2021
Knowledge graph embedding with shared latent semantic units.
Neural Networks, 2021
GuideBoot: Guided Bootstrap for Deep Contextual Bandits.
CoRR, 2021
Combat Data Shift in Few-shot Learning with Knowledge Graph.
CoRR, 2021
Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021
GuideBoot: Guided Bootstrap for Deep Contextual Banditsin Online Advertising.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
BFConv: Improving Convolutional Neural Networks with Butterfly Convolution.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
ConRPG: Paraphrase Generation using Contexts as Regularizer.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Low-dimensional Alignment for Cross-Domain Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
A Practical Polyp Detecting Model in Colonoscopy Video by Post-processing.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021
Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
PENS: A Dataset and Generic Framework for Personalized News Headline Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification.
Neural Networks, 2020
Online Bayesian max-margin subspace learning for multi-view classification and regression.
Mach. Learn., 2020
Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining.
J. Comput. Sci. Technol., 2020
Corrigendum to "Discovering and learning sensational episodes of news events" [Inf. Syst. 78 (2018) 68-80].
Inf. Syst., 2020
Graph Factorization Machines for Cross-Domain Recommendation.
CoRR, 2020
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Domain Adaptation with Category Attention Network for Deep Sentiment Analysis.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Neural Hierarchical Factorization Machines for User's Event Sequence Analysis.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Trust the Model When It Is Confident: Masked Model-based Actor-Critic.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Fraud Transactions Detection via Behavior Tree with Local Intention Calibration.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow.
Proceedings of The 12th Asian Conference on Machine Learning, 2020
Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Large-Scale Frequent Episode Mining from Complex Event Sequences with Hierarchies.
ACM Trans. Intell. Syst. Technol., 2019
Multi-Aspect Embedding for Attribute-Aware Trajectories.
Symmetry, 2019
Grid-based DBSCAN: Indexing and inference.
Pattern Recognit., 2019
Multi-representation adaptation network for cross-domain image classification.
Neural Networks, 2019
Supervised representation learning for multi-label classification.
Mach. Learn., 2019
Knowledge triple mining via multi-task learning.
Inf. Syst., 2019
Corrigendum to "Discovering and learning sensational episodes of news events" [Information Systems 78 (2018) 68-80].
Inf. Syst., 2019
Bayesian dual neural networks for recommendation.
Frontiers Comput. Sci., 2019
Transfer Learning Toolkit: Primers and Benchmarks.
CoRR, 2019
Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning.
CoRR, 2019
Towards reliable and fair probabilistic predictions: field-aware calibration with neural networks.
CoRR, 2019
Atom Responding Machine for Dialog Generation.
CoRR, 2019
Policy Gradients for Contextual Recommendations.
Proceedings of the World Wide Web Conference, 2019
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Unsupervised Neural Aspect Extraction with Sememes.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Reading Like HER: Human Reading Inspired Extractive Summarization.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Policy Optimization with Model-Based Explorations.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Mining Precise-Positioning Episode Rules from Event Sequences.
IEEE Trans. Knowl. Data Eng., 2018
Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning.
ACM Trans. Intell. Syst. Technol., 2018
Semantic Feature Learning for Heterogeneous Multitask Classification via Non-Negative Matrix Factorization.
IEEE Trans. Cybern., 2018
Transfer collaborative filtering from multiple sources via consensus regularization.
Neural Networks, 2018
Self-organizing weighted incremental probabilistic latent semantic analysis.
Int. J. Mach. Learn. Cybern., 2018
Discovering and learning sensational episodes of news events.
Inf. Syst., 2018
Hierarchical Neural Network for Extracting Knowledgeable Snippets and Documents.
CoRR, 2018
Cross-domain novelty seeking trait mining for sequential recommendation.
CoRR, 2018
Policy Gradients for Contextual Bandits.
CoRR, 2018
An Efficient Density-based Clustering Algorithm for Higher-Dimensional Data.
CoRR, 2018
Predicting compositional time series via autoregressive Dirichlet estimation.
Sci. China Inf. Sci., 2018
Attention-driven Factor Model for Explainable Personalized Recommendation.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
A General Cross-Domain Recommendation Framework via Bayesian Neural Network.
Proceedings of the IEEE International Conference on Data Mining, 2018
Knowledge Graph Embedding with Hierarchical Relation Structure.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Free-Rider Episode Screening via Dual Partition Model.
Proceedings of the Database Systems for Advanced Applications, 2018
MultiE: Multi-Task Embedding for Knowledge Base Completion.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Elastic Responding Machine for Dialog Generation with Dynamically Mechanism Selecting.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Representation learning via Dual-Autoencoder for recommendation.
Neural Networks, 2017
Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Representation Learning with Pair-wise Constraints for Collaborative Ranking.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Transfer Learning with Manifold Regularized Convolutional Neural Network.
Proceedings of the Knowledge Science, Engineering and Management, 2017
Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Mechanism-Aware Neural Machine for Dialogue Response Generation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Bag of little bootstraps on features for enhancing classification performance.
Intell. Data Anal., 2016
Online Bayesian Multiple Kernel Bipartite Ranking.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Bayesian Group Feature Selection for Support Vector Learning Machines.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
From Online Behaviors to Offline Retailing.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Browsing Regularities in Hedonic Content Systems.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Online Bayesian Max-Margin Subspace Multi-View Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Ensemble of Anchor Adapters for Transfer Learning.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
QPLSA: Utilizing quad-tuples for aspect identification and rating.
Inf. Process. Manag., 2015
Learning deep representations via extreme learning machines.
Neurocomputing, 2015
Parallel sampling from big data with uncertainty distribution.
Fuzzy Sets Syst., 2015
A new solution algorithm for solving rule-sets based bilevel decision problems.
Concurr. Comput. Pract. Exp., 2015
Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Improving ESVM with Generalized Cross-Validation.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Supervised Representation Learning: Transfer Learning with Deep Autoencoders.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Online Frequent Episode Mining.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015
Heterogeneous Multi-task Semantic Feature Learning for Classification.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
Collaborating between Local and Global Learning for Distributed Online Multiple Tasks.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
Bayesian Maximum Margin Principal Component Analysis.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification.
IEEE Trans. Cybern., 2014
Combining supervised and unsupervised models via unconstrained probabilistic embedding.
Inf. Sci., 2014
Clustering in extreme learning machine feature space.
Neurocomputing, 2014
Discovering and learning sensational episodes of news events.
Proceedings of the 23rd International World Wide Web Conference, 2014
Scalable bootstrap clustering for massive data.
Proceedings of the 15th IEEE/ACIS International Conference on Software Engineering, 2014
Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Balanced Seed Selection for Budgeted Influence Maximization in Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Parallel feature selection using positive approximation based on MapReduce.
Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014
Nonparametric Bayesian Multi-Task Large-margin Classification.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014
Multi-task Multi-view Learning for Heterogeneous Tasks.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
2013
Exploiting relevance, coverage, and novelty for query-focused multi-document summarization.
Knowl. Based Syst., 2013
Parallel extreme learning machine for regression based on MapReduce.
Neurocomputing, 2013
Parallel Implementation of Apriori Algorithm Based on MapReduce.
Int. J. Networked Distributed Comput., 2013
Triplex transfer learning: exploiting both shared and distinct concepts for text classification.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013
Embedding with Autoencoder Regularization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Shared Structure Learning for Multiple Tasks with Multiple Views.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Extreme Learning Machine combining matrix factorization for collaborative filtering.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework.
Proceedings of the IJCAI 2013, 2013
A New Similarity Measure Based on Preference Sequences for Collaborative Filtering.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013
2012
Erratum to "Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification".
IEEE Trans. Knowl. Data Eng., 2012
Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification.
IEEE Trans. Knowl. Data Eng., 2012
Extracting discriminative features for CBIR.
Multim. Tools Appl., 2012
Effective semi-supervised document clustering via active learning with instance-level constraints.
Knowl. Inf. Syst., 2012
Multi-view learning via probabilistic latent semantic analysis.
Inf. Sci., 2012
Parallel Max-Min Ant System Using MapReduce.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012
Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
Parallel Decision Tree with Application to Water Quality Data Analysis.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
Effectively Constructing Reliable Data for Cross-Domain Text Classification.
Proceedings of the Intelligent Information Processing VI, 2012
PPLSA: Parallel Probabilistic Latent Semantic Analysis Based on MapReduce.
Proceedings of the Intelligent Information Processing VI, 2012
Fast Time Series Classification Based on Infrequent Shapelets.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Multi-task Semi-supervised Semantic Feature Learning for Classification.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
TINAC: A fast and effective web video topic detection framework.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
2011
CHSMST: a clustering algorithm based on hyper surface and minimum spanning tree.
Soft Comput., 2011
Exploiting associations between word clusters and document classes for cross-domain text categorization.
Stat. Anal. Data Min., 2011
A parallel incremental extreme SVM classifier.
Neurocomputing, 2011
An improved FCMBP fuzzy clustering method based on evolutionary programming.
Comput. Math. Appl., 2011
An Algorithm for Solving Rule Sets-Based Bilevel Decision Problems.
Comput. Intell., 2011
Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding.
Proceedings of the IJCAI 2011, 2011
The improved non-negative Matrix Factorization algorithm for document clustering.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011
Parallel Outlier Detection Using KD-Tree Based on MapReduce.
Proceedings of the IEEE 3rd International Conference on Cloud Computing Technology and Science, 2011
2010
Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective.
IEEE Trans. Knowl. Data Eng., 2010
Parallel Implementation of Classification Algorithms Based on MapReduce.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010
The High-Activity Parallel Implementation of Data Preprocessing Based on MapReduce.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010
Local Bayesian Based Rejection Method for HSC Ensemble.
Proceedings of the Advances in Neural Networks, 2010
A HSC-based sample selection method for support vector machine.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010
D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification.
Proceedings of the ICDM 2010, 2010
A noise handling method for hyper surface classification.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010
Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010
Effectively Leveraging Entropy and Relevance for Summarization.
Proceedings of the Information Retrieval Technology, 2010
Nonparametric Curve Extraction Based on Ant Colony System.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
An index and retrieval framework integrating perceptive features and semantics for multimedia databases.
Multim. Tools Appl., 2009
Rule sets based bilevel decision model and algorithm.
Expert Syst. Appl., 2009
Active Learning of Instance-Level Constraints for Semi-supervised Document Clustering.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009
Rule Extraction and Reduction for Hyper Surface Classification.
Proceedings of the Advances in Neural Networks, 2009
Detecting Unusual Pattern with Labeled Data in Two-Stage.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
Parallel <i>K</i>-Means Clustering Based on MapReduce.
Proceedings of the Cloud Computing, First International Conference, CloudCom 2009, Beijing, 2009
2008
Bayes-Based Relevance Feedback Method for CBIR.
Proceedings of the Innovations in Hybrid Intelligent Systems, 2008
Minimal Consistent Subset for Hyper Surface Classification Method.
Int. J. Pattern Recognit. Artif. Intell., 2008
Extreme Support Vector Machine Classifier.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008
Geodesic distance based multi-document summarization.
Proceedings of the 4th International Conference on Natural Language Processing and Knowledge Engineering, 2008
The Data Selection Criteria for HSC and SVM Algorithms.
Proceedings of the Fourth International Conference on Natural Computation, 2008
Transfer learning from multiple source domains via consensus regularization.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008
2007
On Defining Partition Entropy by Inequalities.
IEEE Trans. Inf. Theory, 2007
Classification based on dimension transposition for high dimension data.
Soft Comput., 2007
Distributed data mining in grid computing environments.
Future Gener. Comput. Syst., 2007
MSMiner - a developing platform for OLAP.
Decis. Support Syst., 2007
Research on Business Intelligence in enterprise computing environment.
Proceedings of the IEEE International Conference on Systems, 2007
Incremental Nonlinear Proximal Support Vector Machine.
Proceedings of the Advances in Neural Networks, 2007
Data Selection for Nonlinear Proximal Support Vector Machine.
Proceedings of the Third International Conference on Natural Computation, 2007
Combination Methodologies of Multi-agent Hyper Surface Classifiers: Design and Implementation Issues.
Proceedings of the Autonomous Intelligent Systems: Multi-Agents and Data Mining, 2007
A Cognitive Data Visualization Method Based on Hyper Surface.
Proceedings of the Six IEEE International Conference on Cognitive Informatics, 2007
2006
A heterogeneous computing system for data mining workflows in multi-agent environments.
Expert Syst. J. Knowl. Eng., 2006
Granule Sets Based Bilevel Decision Model.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006
Multi-modal Services for Web Information Collection Based on Multi-agent Techniques.
Proceedings of the Agent Computing and Multi-Agent Systems, 2006
HyperSurface Classifiers Ensemble for High Dimensional Data Sets.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
A New Method for Modeling Principal Curve.
Proceedings of the Intelligent Information Processing III, 2006
A Heterogeneous Computing System for Data Mining Workflows.
Proceedings of the Flexible and Efficient Information Handling, 2006
Rule sets based bilevel decision model.
Proceedings of the Computer Science 2006, 2006
2005
Execution Engine of Meta-learning System for KDD in Multi-agent Environment.
Proceedings of the Autonomous Intelligent Systems: Agents and Data Mining, 2005
Theoretical study on a new information entropy and its use in attribute reduction.
Proceedings of the 4th IEEE International Conference on Cognitive Informatics (ICCI 2005), 2005
2004
Intelligent Technology for Well Logging Analysis.
Proceedings of the Intelligent Information Processing II, 2004
A Prediction Approach to Well Logging.
Proceedings of the Intelligent Information Processing II, 2004
Data Mining by MOUCLAS Algorithm for Petroleum Reservoir Characterization from Well Logging Data.
Proceedings of the Artificial Intelligence Applications and Innovations, 2004
2003
Intelligence Chinese Document Semantic Indexing System.
Int. J. Inf. Technol. Decis. Mak., 2003
2002
IDSIS: Intelligent Document Semantic Indexing System.
Proceedings of the Intelligent Information Processing, IFIP 17<sup>th</sup> World Computer Congress, 2002