Qing He

Orcid: 0000-0001-8833-5398

Affiliations:
  • Chinese Academy of Sciences, Institute of Computing Technology, Key Lab of Intelligent Information Processing, Beijing, China


According to our database1, Qing He authored at least 236 papers between 2002 and 2024.

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

Timeline

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Bibliography

2024
Put Your Voice on Stage: Personalized Headline Generation for News Articles.
ACM Trans. Knowl. Discov. Data, April, 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

Winter-Spring Prediction of Snow Avalanche Susceptibility Using Optimisation Multi-Source Heterogeneous Factors in the Western Tianshan Mountains, China.
Remote. Sens., 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

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

Practical Application of Latest Optimal Hollow Active Auxiliary Electrode in Vertical Calculable Cross-Capacitor at NIM.
IEEE Trans. Instrum. Meas., 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
An Initial Reproduction of SI Capacitance Unit From a New Calculable Capacitor at NIM.
IEEE Trans. Instrum. Meas., 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, 2002


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