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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

研究领域

机器学习、数据挖掘、并行分类算法、迁移学习、推荐系统

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

学术兼职

2018-05-02-今,中国计算机学会人工智能与模式识别专委会, 委员 2013-08-25-今,中国人工智能学会机器学习专委会委员, 委员

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