个人简介
招生专业
081202-计算机软件与理论
招生方向
机器学习,数据挖掘,迁移学习,多任务学习,多视图学习,推荐系统
教育背景
2006-09--2011-07 中国科学院计算技术研究所 博士
2002-09--2006-07 重庆大学 学士
工作简历
2013-09~现在, 中国科学院计算技术研究所, 副研究员
2011-07~2013-09,中国科学院计算技术研究所, 助理研究员
教授课程
数据挖掘
人工智能基础
认知计算
奖励信息
(1) 人工智能顶级会议IJCAI2015数据挖掘竞赛第一名, 其他, 2015
(2) 计算所“卓越之星”, 研究所(学校), 2015
(3) 中国人工智能学会优秀博士学位论文, 其他, 2013
(4) 中国科学院院长优秀奖, 一等奖, 院级, 2011
专利成果
( 1 ) 一种基于并行自动编码机的特征学习方法及系统, 发明, 2016, 第 1 作者, 专利号: 2016101470075
( 2 ) 一种并行的垂直交叉网络数据采集方法及系统, 发明, 2013, 第 3 作者, 专利号: 201310146080
( 3 ) 一种面向大数据的分布式主题发现方法及系统, 发明, 2014, 第 3 作者, 专利号: 201310526790
( 4 ) 一种大数据分类方法及系统, 发明, 2014, 第 3 作者, 专利号: 201310727192
( 5 ) 一种采用决策树的数据分类方法和系统, 发明, 2011, 第 1 作者, 专利号: 201110143821
( 6 ) 一种用于大数据的并行半定义分类方法与系统, 发明, 2016, 第 2 作者, 专利号: 201610570978
科研项目
( 1 ) 基于生成模型的迁移学习算法研究及其应用, 主持, 国家级, 2013-01--2015-12
( 2 ) 面向异构环境的多任务多视图学习算法研究, 主持, 国家级, 2015-01--2018-12
( 3 ) WEB 搜索与挖掘的新理论与方法, 参与, 国家级, 2010-01--2013-12
( 4 ) 领域适应性问题相关学习算法与理论研究, 参与, 国家级, 2012-01--2015-12
( 5 ) 电信大数据分析及应用示范, 参与, 研究所(学校), 2015-05--2018-12
( 6 ) 城市人口全生命周期公共服务支撑技术研究与系统开发, 参与, 国家级, 2013-01--2015-12
( 7 ) 中科院青年促进研究会项目, 主持, 部委级, 2017-01--2020-12
( 8 ) 基于机器学习的电信运营商大数据分析系统, 主持, 院级, 2016-10--2017-08
( 9 ) 基于深度学习的推荐算法研究, 主持, 国家级, 2018-01--2021-12
( 10 ) 大数据分析的基础理论和技术方法, 参与, 国家级, 2019-01--2021-12
参与会议
(1)Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel 2017-08-18
(2): Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation 2017-04-02
(3)Representation Learning with Pair-wise Constraints for Collaborative Ranking 2017-02-05
(4)Ensemble of Anchor Adapters for Transfer Learning 2016-10-23
(5)Online Bayesian Max-margin Subspace Multi-view Learning 人工智能会议 Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long 2016-07-09
(6)Heterogeneous Multi-task Semantic Feature Learning for Classification Xin Jin , Fuzhen Zhuang , Sinno Jialin Pan , Changying Du , Ping Luo , Qing He 2015-10-19
(7)Supervised Representation Learning: Transfer Learning with Deep Autoencoders Fuzhen Zhuang , Xiaohu Cheng , Ping Luo , Sinno Jialin Pan , Qing He 2015-07-24
(8)Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders Fuzhen Zhuang , Xiaohu Cheng , Sinno Jialin Pan , Wenchao Yu , Qing He , Zhongzhi Shi 2014-09-14
(9)Triplex transfer learning: exploiting both shared and distinct concepts for text classification Fuzhen Zhuang , Ping Luo , Changying Du , Qing He , Zhongzhi Shi 2013-02-04
近期论文
查看导师新发文章
(温馨提示:请注意重名现象,建议点开原文通过作者单位确认)
(1) Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion, AAAI 2020, 2020, 第 2 作者
(2) Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation, TheConfWeb 2020, 2020, 第 3 作者
(3) Domain Adaptation with Category Attention Network for Deep Sentiment Analysis, TheConfWeb 2020, 2020, 第 2 作者
(4) Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection, TheConfWeb 2020, 2020, 第 4 作者
(5) Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction, ECAI 2020, 2020, 第 3 作者
(6) Cross-Domain Recommendation with Adversarial Examples, DASFAA 2020, 2020, 第 3 作者
(7) Collaborative Self-Attention Network for Session-based Recommendation, IJCAI 2020, 2020, 第 4 作者
(8) Neural Hierarchical Factorization Machines for User's Event Sequence Analysis, SIGIR 2020, 2020, 第 2 作者
(9) Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning, KDD 2020, 2020, 第 5 作者
(10) Softly Associative Transfer Learning for Cross-domain Classification, IEEE Transactions on Cybernetics, 2020, 第 6 作者
(11) Follow the Title then Read the Article: Click-guide Network for Dwell Time Prediction, TKDE, 2020, 第 2 作者
(12) Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation, IEEE Transactions on Neural Networks and Learning Systems, 2020, 第 5 作者
(13) Online Bayesian max-margin subspace learning for multi-view classification and regression, Machine Learning, 2020, 第 3 作者
(14) Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification, IEEE Transactions on Neural Networks and Learning Systems, 2020, 第 7 作者
(15) Rapid Learning of Earthquake Felt Area and Intensity Distribution with Real-time Search Engine Queries, Scientific Reports, 2020, 第 4 作者
(16) Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems, TKDE, 2020, 第 5 作者
(17) Deep Subdomain Adaptation Network for Image Classification, IEEE Transactions on Neural Networks and Learning Systems, 2020, 第 2 作者
(18) Neural Serendipity Recommendation: Exploring the Balance between Accuracy and Novelty with sparse Explicit Feedback, ACM Transactions on Knowledge Discovery from Data, 2020, 第 5 作者
(19) A Comprehensive Survey on Transfer Learning, Proceedings of IEEE, 2020, 第 1 作者
(20) Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation, TKDE, 2020, 第 6 作者
(21) Graph Contextualized Self-Attention Network for Session-based Recommendation, IJCAI 2019, 2019, 第 6 作者
(22) Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction, IJCAI 2019, 2019, 第 3 作者
(23) DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview, KDD 2019, 2019, 第 5 作者
(24) Multiple Relational Attention Network for Multi-task Learning, KDD 2019, 2019, 第 4 作者
(25) The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach, KDD 2019, 2019, 第 2 作者
(26) Inferring Mood Instability via Smartphone Sensing: A Multi-View Learning Approach, ACM MM 2019, 2019, 第 2 作者
(27) Identifying High Potential Talent: A Neural Network based Dynamic Social Profiling Approach, ICDM 2019, 2019, 第 4 作者
(28) Supervised representation learning for multi-label classification, Machine Learning, 2019, 第 2 作者
(29) Multi-representation adaptation network for cross-domain image classification, Neural Networks, 2019, 第 2 作者
(30) Knowledge triple mining via multi-task learning, Information Systems, 2019, 第 2 作者
(31) NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks, Neural Networks, 2019, 第 5 作者
(32) Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation, AAAI 2019, 2019, 第 6 作者
(33) Modelling of Bi-directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-in Identification, AAAI 2019, 2019, 第 2 作者
(34) Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources, AAAI 2019, 2019, 第 2 作者
(35) Policy Gradients for Contextual Recommendations, WWW 2019, 2019, 第 4 作者
(36) Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries, SIGKDD 2018, 2018, 第 3 作者
(37) MultiE: Multi-Task Embedding for Knowledge Base Completion, CIKM 2018, 2018, 第 2 作者
(38) Knowledge Graph Embedding with Hierarchical Relation Structure, EMNLP 2018, 2018, 第 2 作者
(39) An Integrated Model for Crime Prediction Using Temporal and Spatial Factors, ICDM 2018, 2018, 第 3 作者
(40) Exploiting the Sentimental Bias between Ratings and Reviews for Enhancing Recommendation, ICDM 2018, 2018, 第 5 作者
(41) Cross-Domain Labeled LDA for Cross-Domain Text Classification, ICDM 2018, 2018, 第 4 作者
(42) A General Cross-Domain Recommendation Framework via Bayesian Neural Network, ICDM 2018, 2018, 第 3 作者
(43) Transfer collaborative filtering from multiple sources via consensus regularization, Neural Networks, 2018, 第 1 作者
(44) Semantic Feature Learning for Heterogeneous Multi-task Classification via Non-negative Matrix Factorization, IEEE Transactions on Cybernetics, 2018, 第 1 作者
(45) Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning, ACM TIST, 2018, 第 1 作者
(46) Mining Precise-Positioning Episode Rules from Event Sequences, IEEE TKDE, 2018, 第 4 作者
(47) RECOME: A new density-based clustering algorithm using relative KNN kernel density, Information Sciences, 2018, 第 4 作者
(48) Automatic Chinese Short Answer Grading with Deep Autoencoder, International Conference on Artificial Intelligence in Education (AIED), 2018, 第 3 作者
(49) Attention-driven Factor Model for Explainable Personalized Recommendation, SIGIR 2018, 2018, 第 2 作者
(50) Sequential Recommender System based on Hierarchical Attention Networks, IJCAI 2018, 2018, 第 2 作者
(51) Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning, IJCAI 2018, 2018, 第 4 作者
(52) Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation, WWW 2017, 2017, 第 1 作者
(53) Representation Learning with Pair-wise Constraints for Collaborative Ranking, WSDM 2017, 2017, 第 1 作者
(54) Representation Learning via Dual-Autoencoder for Recommendation, Neural Networks, 2017, 第 1 作者
(55) Mining Precise-positioning Episode Rules from Event Sequences, ICDE 2017, 2017, 第 4 作者
(56) Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel, IJCAI 2017, 2017, 第 4 作者
(57) Ensemble of Anchor Adapters for Transfer Learning, CIKM 2016, 2016, 第 1 作者
(58) Online Bayesian Max-Margin Subspace Multi-View Learning, IJCAI 2016, 2016, 第 3 作者
(59) Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling, ECML/PKDD 2016, 2016, 第 2 作者
(60) Aspect Mining with Rating Bias, ECML/PKDD 2016, 2016, 第 4 作者
(61) Supervised Representation Learning: Transfer Learning with Deep Autoencoders, Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, 2015, 第 1 作者
(62) Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning, 2015 IEEE International Conference on Data Mining, ICDM 2015, 2015, 第 1 作者
(63) QPLSA: Utilizing quad-tuples for aspect identification and rating, Information Processing and Management, 2015, 通讯作者
(64) Heterogeneous Multi-task Semantic Feature Learning for Classification, Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, CIKM 2015, 2015, 第 2 作者
(65) Bayesian Maximum Margin Principal Component Analysis, Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015, 第 3 作者
(66) Online Frequent Episode Mining, 31st IEEE International Conference on Data Engineering, ICDE 2015, 2015, 第 4 作者
(67) Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, 2014, 第 1 作者
(68) Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification, IEEE Transactions on Cybernetics, 2014, 第 1 作者
(69) Multi-task Multi-view Learning for Heterogeneous Tasks, Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, 2014, 第 2 作者
(70) Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework, Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI 2013, 2013, 第 1 作者
(71) Shared Structure Learning for Multiple Tasks with Multiple Views, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, 2013, 第 2 作者
(72) Multi-task Semi-supervised Semantic Feature Learning for Classification, ICDM 2012, 2012, 第 2 作者
(73) Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification, PAKDD 2012, 2012, 第 2 作者
(74) Multi-view learning via probabilistic latent semantic analysis, Information Sciences, 2012, 第 1 作者
(75) Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification, IEEE Trans. Knowl. Data Eng, 2012, 第 1 作者
(76) Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding, IJCAI 2011, 2011, 第 3 作者
(77) D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification, ICDM 2010, 2010, 第 1 作者
(78) Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification, CIKM 2010, 2010, 第 1 作者
(79) Exploiting Associations between Word Clusters and Document Classes for Cross-Domain Text Categorization, SAIM SDM 2010, 2010, 第 1 作者
(80) Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective, IEEE Trans. Knowl. Data Eng, 2010, 第 1 作者