Fuzhen Zhuang

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2014, 15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD).

Exploiting Associations between Word Clusters and Document Classes for Cross-Domain Text Categorization

Hui Xiong, Fuzhen Zhuang, Qing He, 2010, SDM.

Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation

Fuzhen Zhuang, Yanchi Liu, Jiajie Xu, 2019, AAAI.

Supervised Representation Learning: Transfer Learning with Deep Autoencoders

Fuzhen Zhuang, Qing He, Ping Luo, 2015, IJCAI.

Cross-Domain Labeled LDA for Cross-Domain Text Classification

Chenwei Lu, Deqing Wang, Fuzhen Zhuang, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Heterogeneous Multi-task Semantic Feature Learning for Classification

Fuzhen Zhuang, Qing He, Ping Luo, 2015, CIKM.

NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks

Hui Xiong, Fuzhen Zhuang, En Wang, 2019, Neural Networks.

Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling pdf

Fuzhen Zhuang, Qing He, Guoping Long, 2016, ECML/PKDD.

Online Bayesian Max-Margin Subspace Multi-View Learning

Xin Yin, Fuzhen Zhuang, Qing He, 2016, IJCAI.

Multi-task Multi-view Learning for Heterogeneous Tasks

Hui Xiong, Fuzhen Zhuang, Qing He, 2014, CIKM.

D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2010, 2010 IEEE International Conference on Data Mining.

Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries

Fuzhen Zhuang, Qing He, Ying Sun, 2018, KDD.

Grid-based DBSCAN: Indexing and inference

Yang Liu, Fuzhen Zhuang, Qing He, 2019, Pattern Recognit..

Parallel Web Mining System Based on Cloud Platform

Fuzhen Zhuang, Qing He, Ning Li, 2012 .

Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation

Lei Zheng, Philip S. Yu, Fuzhen Zhuang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Representation learning via Dual-Autoencoder for recommendation

Xing Xie, Fuzhen Zhuang, Qing He, 2017, Neural Networks.

Representation Learning with Pair-wise Constraints for Collaborative Ranking

Nicholas Jing Yuan, Xing Xie, Dan Luo, 2017, WSDM.

Collaborating between Local and Global Learning for Distributed Online Multiple Tasks

Fuzhen Zhuang, Qing He, Ping Luo, 2015, CIKM.

QPLSA: Utilizing quad-tuples for aspect identification and rating

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2015, Inf. Process. Manag..

Local Bayesian Based Rejection Method for HSC Ensemble

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2010, ISNN.

Discovering and learning sensational episodes of news events

Fuzhen Zhuang, Qing He, Ping Luo, 2018, Inf. Syst..

Coupled matrix factorization and topic modeling for aspect mining

Ding Xiao, Fuzhen Zhuang, Yitong Li, 2018, Inf. Process. Manag..

Self-organizing weighted incremental probabilistic latent semantic analysis

Kun Yang, Fuzhen Zhuang, Qing He, 2018, Int. J. Mach. Learn. Cybern..

Bag of little bootstraps on features for enhancing classification performance

Fuzhen Zhuang, Qing He, Xin Jin, 2016, Intell. Data Anal..

Combining supervised and unsupervised models via unconstrained probabilistic embedding

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2014, Inf. Sci..

Multi-task Semi-supervised Semantic Feature Learning for Classification

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2012, 2012 IEEE 12th International Conference on Data Mining.

Aspect Mining with Rating Bias

Bin Wu, Yitong Li, Fuzhen Zhuang, 2016, ECML/PKDD.

Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation

Xing Xie, Fuzhen Zhuang, Qing He, 2017, WWW.

Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2013, IJCAI.

Multi-view learning via probabilistic latent semantic analysis

Fuzhen Zhuang, Qing He, George Karypis, 2012, Inf. Sci..

Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective

Hui Xiong, Fuzhen Zhuang, Qing He, 2010, IEEE Transactions on Knowledge and Data Engineering.

A parallel incremental extreme SVM classifier

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2011, Neurocomputing.

Automatic Chinese Reading Comprehension Grading by LSTM with Knowledge Adaptation

Fuzhen Zhuang, Xi Yang, Lishan Zhang, 2018, PAKDD.

PPLSA: Parallel Probabilistic Latent Semantic Analysis Based on MapReduce

Fuzhen Zhuang, Qing He, Ning Li, 2012, Intelligent Information Processing.

Exploiting associations between word clusters and document classes for cross-domain text categorization

Hui Xiong, Fuzhen Zhuang, Qing He, 2011, Stat. Anal. Data Min..

Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning

Fuzhen Zhuang, Qing He, Ping Luo, 2017, ACM Trans. Intell. Syst. Technol..

Sequential Recommender System based on Hierarchical Attention Networks

Hui Xiong, Xing Xie, Guandong Xu, 2018, IJCAI.

Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition

Fuzhen Zhuang, Qing He, Xi Yang, 2019, PAKDD.

Bayesian dual neural networks for recommendation

Fuzhen Zhuang, Yanchi Liu, Jia He, 2019, Frontiers of Computer Science.

Jian Liu, Bin Wu, Fuzhen Zhuang, 2016, PAKDD.

Frequent term based peer-to-peer text clustering

Fuzhen Zhuang, Zhongzhi Shi, Tingting Li, 2010, 2010 Third International Symposium on Knowledge Acquisition and Modeling.

Knowledge triple mining via multi-task learning

Hui Xiong, Zhao Zhang, Fuzhen Zhuang, 2019, Inf. Syst..

Clustering in extreme learning machine feature space

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2014, Neurocomputing.

Ensemble of Anchor Adapters for Transfer Learning

Hui Xiong, Fuzhen Zhuang, Qing He, 2016, CIKM.

Parallel feature selection using positive approximation based on MapReduce

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2014, 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

Policy Gradients for Contextual Bandits pdf

Fuzhen Zhuang, Qing He, Pingzhong Tang, 2018, ArXiv.

Improving ESVM with Generalized Cross-Validation

Fuzhen Zhuang, Qing He, Tianshu Feng, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Attention-driven Factor Model for Explainable Personalized Recommendation

Xing Xie, Fuzhen Zhuang, Qing He, 2018, SIGIR.

Knowledge Graph Embedding with Hierarchical Relation Structure

Zhao Zhang, Fuzhen Zhuang, Qing He, 2018, EMNLP.

Mining Precise-Positioning Episode Rules from Event Sequences

Fuzhen Zhuang, Ping Luo, Jin Wang, 2017, IEEE Transactions on Knowledge and Data Engineering.

Nonparametric Bayesian Multi-Task Large-margin Classification, 21st European Conference on Artificial intelligence

Yuan Qi, Fuzhen Zhuang, Jia He, 2014 .

Cross-domain novelty seeking trait mining for sequential recommendation pdf

Xing Xie, Fuzhen Zhuang, Qing He, 2018, ArXiv.

Parallel extreme learning machine for regression based on MapReduce

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2013, Neurocomputing.

Improving Transfer Learning by Introspective Reasoner

Fuzhen Zhuang, Zhongzhi Shi, Bo Zhang, 2012, Intelligent Information Processing.

Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2014, 2014 IEEE International Conference on Data Mining.

Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning

Hui Xiong, Xiao Zhang, Wenzhong Li, 2018, IJCAI.

Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification

Hui Xiong, Fuzhen Zhuang, Qing He, 2012, IEEE Transactions on Knowledge and Data Engineering.

Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning

Hui Xiong, Dan Luo, Fuzhen Zhuang, 2015, 2015 IEEE International Conference on Data Mining.

Discovering and learning sensational episodes of news events

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2014, WWW.

Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification

Hui Xiong, Fuzhen Zhuang, Qing He, 2010, CIKM.

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2013, APWeb.

Exploiting relevance, coverage, and novelty for query-focused multi-document summarization

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2013, Knowl. Based Syst..

Online Frequent Episode Mining

Fuzhen Zhuang, Qing He, Ping Luo, 2015, 2015 IEEE 31st International Conference on Data Engineering.

Embedding with Autoencoder Regularization

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2013, ECML/PKDD.

Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias

Philip S. Yu, Fuzhen Zhuang, Chuan Shi, 2019, PAKDD.

Integrating heterogeneous information via flexible regularization framework for recommendation

Philip S. Yu, Jian Liu, Bin Wu, 2015, Knowledge and Information Systems.

Fast Time Series Classification Based on Infrequent Shapelets

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2012, 2012 11th International Conference on Machine Learning and Applications.

Transfer Learning with Manifold Regularized Convolutional Neural Network

Fuzhen Zhuang, Qing He, Lang Huang, 2017, KSEM.

Balanced Seed Selection for Budgeted Influence Maximization in Social Networks

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2014, PAKDD.

The Automatic Identification of Butterfly Species pdf

Yinghuan Shi, Fuzhen Zhuang, Junping Zhang, 2018, ArXiv.

Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2013, IEEE Transactions on Cybernetics.

Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users

Fuzhen Zhuang, Ruobing Xie, Qing He, 2021, SIGIR.

Tell Me Where to Go Next: Improving POI Recommendation via Conversation

Fuzhen Zhuang, Yanchi Liu, Pengpeng Zhao, 2021, DASFAA.

Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT

Fuzhen Zhuang, Qing He, Zhao Zhang, 2021, CIKM.

Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment

Fuzhen Zhuang, Yanchi Liu, Zixuan Yuan, 2021, KDD.

Improving Non-autoregressive Generation with Mixup Training pdf

Fuzhen Zhuang, Furu Wei, Zihan Zhang, 2021, ArXiv.

An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training

Fuzhen Zhuang, Qing He, Ling Ma, 2021, PRCV.

Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment pdf

Fuzhen Zhuang, Yanchi Liu, Zixuan Yuan, 2021, ArXiv.

Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks

Fuzhen Zhuang, Juan Cao, Ruobing Xie, 2021, SIGIR.

Deep Keyphrase Completion pdf

Fuzhen Zhuang, Ji Liu, Yu Zhao, 2021, ArXiv.

Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation

Fuzhen Zhuang, Chuan Shi, Yangqiu Song, 2021, ECML/PKDD.

Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising

Fuzhen Zhuang, Juan Cao, Ruobing Xie, 2021, KDD.

Low-dimensional Alignment for Cross-Domain Recommendation

Fuzhen Zhuang, Zhiqiang Zhang, Qing He, 2021, CIKM.

BFConv: Improving Convolutional Neural Networks with Butterfly Convolution

Fuzhen Zhuang, Qing He, Xuehui Yu, 2021, ICONIP.

A Comprehensive Survey on Transfer Learning

Hui Xiong, Fuzhen Zhuang, Qing He, 2019, Proceedings of the IEEE.

Combat data shift in few-shot learning with knowledge graph pdf

Fuzhen Zhuang, Xiangliang Zhang, Qing He, 2021, Frontiers of Computer Science.

A semi-supervised deep convolutional framework for signet ring cell detection

Fuzhen Zhuang, Jingjing Gu, Tingting Liang, 2021, Neurocomputing.

Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning

Fuzhen Zhuang, Hengshu Zhu, Qing He, 2021, WWW.

Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks

Fuzhen Zhuang, Hengshu Zhu, Qing He, 2023, IEEE Transactions on Knowledge and Data Engineering.

Personalized Transfer of User Preferences for Cross-domain Recommendation pdf

Fuzhen Zhuang, Ruobing Xie, Leyu Lin, 2021, WSDM.

Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph via Dual Attention Networks pdf

Fuzhen Zhuang, Qinghong Shuai, Ying Liu, 2022, IEEE Transactions on Knowledge and Data Engineering.

Community-Aware Multi-Task Transportation Demand Prediction

Fuzhen Zhuang, Dejing Dou, Xinjiang Lu, 2021, AAAI.

Knowledge graph embedding with shared latent semantic units

Hui Xiong, Fuzhen Zhuang, Zheng-Yu Niu, 2021, Neural Networks.

Knowledge-Aware Hypergraph Neural Network for Recommender Systems

Fuzhen Zhuang, Yanchi Liu, Pengpeng Zhao, 2021, DASFAA.

Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection pdf

Fuzhen Zhuang, Qing He, Yuan Qi, 2021, AAAI.

Incorporating Global Information in Local Attention for Knowledge Representation Learning

Fuzhen Zhuang, Ji Liu, Ruobing Xie, 2021, FINDINGS.

Talent Demand Forecasting with Attentive Neural Sequential Model

Fuzhen Zhuang, Hengshu Zhu, Hui Xiong, 2021, KDD.

Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning pdf

Fuzhen Zhuang, Huaming Du, Yu Zhao, 2021, ArXiv.

Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning pdf

Fuzhen Zhuang, Yongjun Xu, Hengshu Zhu, 2021, IEEE Transactions on Knowledge and Data Engineering.

Learning Bi-typed Multi-relational Heterogeneous Graph via Dual Hierarchical Attention Networks

Fuzhen Zhuang, Yu Zhao, Ji Liu, 2021 .

PromptBERT: Improving BERT Sentence Embeddings with Prompts

Fuzhen Zhuang, Furu Wei, Shaohan Huang, 2022 .

Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising

Fuzhen Zhuang, Dongbo Xi, Yongchun Zhu, 2021, KDD.

Inductive transfer learning for unlabeled target-domain via hybrid regularization

Fuzhen Zhuang, Zhongzhi Shi, Ping Luo, 2009 .