Xin Xin

According to our database, Xin Xin authored at least 39 papers between 2012 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

An Empirical Study of Pre-trained Embedding on Ultra-Fine Entity Typing.

Yanping Wang, Xin Xin, Ping Guo

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019

Relation Extraction via Attention-Based CNNs using Token-Level Representations.

Yan Wang, Xin Xin, Ping Guo

Proceedings of the 15th International Conference on Computational Intelligence and Security, 2019

Chinese NER by Span-Level Self-Attention.

Xiaoyu Dong, Xin Xin, Ping Guo

Proceedings of the 15th International Conference on Computational Intelligence and Security, 2019

Chinese NER with Height-Limited Constituent Parsing.

Rui Wang, Xin Xin, Wei Chang, Kun Ming, Biao Li, Xin Fan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Fine-Grained Deep Knowledge-Aware Network for News Recommendation with Self-Attention.

Jie Gao, Xin Xin, Junshuai Liu, Rui Wang, Jing Lu, Biao Li, Xin Fan, Ping Guo

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Listwise Click-Through Rate Prediction with Item-Item Interactions.

Rui Wang, Ping Guo, Xin Fan, Biao Li, Wei Zhang, Xin Xin

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Review of Pseudoinverse Learning Algorithm for Multilayer Neural Networks and Applications.

Jue Wang, Ping Guo, Xin Xin

Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

Personalized Response Generation for Customer Service Agents.

Cuihua Ma, Ping Guo, Xin Xin

Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

2017

Pulsar Candidate Identification with Artificial Intelligence Techniques.

Ping Guo, Fuqing Duan, Pei Wang, Yao Yao, Xin Xin

CoRR, 2017

A multi-level encoder for text summarization.

Junshuai Liu, Xin Xin, Li Li, Shaozhuang Liu, Xiaoyu Ma

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Fine-grained news recommendation by fusing matrix factorization, topic analysis and knowledge graph representation.

Kuai Zhang, Xin Xin, Pei Luo, Ping Guo

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Autoencoder, low rank approximation and pseudoinverse learning algorithm.

Ke Wang, Ping Guo, Xin Xin, Zebin Ye

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Predicting the number of driving service orders in fine-grained regions by an ensemble multi-view-based model.

Pei Luo, Xin Xin, Kuai Zhang, Ping Guo, Yang Yu, Zichao Wang

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Collaborative Response Content Recommendation for Customer Service Agents.

Cuihua Ma, Ping Guo, Xin Xin, Xiaoyu Ma, Yanjie Liang, Shaomin Xing, Li Li, Shaozhuang Liu

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

LSTM with Matrix Factorization for Road Speed Prediction.

Jian Hu, Xin Xin, Ping Guo

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Extracting Company-Specific Keyphrases from News Media.

Qiang Pan, Ping Guo, Xin Xin, Junshuai Liu

Proceedings of the 13th International Conference on Computational Intelligence and Security, 2017

2016

Deep neural networks with local connectivity and its application to astronomical spectral data.

Ke Wang, Ping Guo, A-Li Luo, Xin Xin, Fuqing Duan

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Fine-Grained Real Estate Estimation Based on Mixture Models.

Peng Ji, Xin Xin, Ping Guo

Proceedings of the Advances in Neural Networks - ISNN 2016, 2016

A pseudoinverse incremental algorithm for fast training deep neural networks with application to spectra pattern recognition.

Ke Wang, Ping Guo, Qian Yin, A-Li Luo, Xin Xin

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A rank minimization-based late fusion method for multi-label image annotation.

Yao Yao, Xin Xin, Ping Guo

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Pulsar Candidate Selection by Assembling Positive Sample Emphasized Classifiers.

Yao Yao, Xin Xin, Ping Guo

Proceedings of the 12th International Conference on Computational Intelligence and Security, 2016

A Divide and Conquer Method for Automatic Image Annotation.

Yanjun Li, Ping Guo, Xin Xin

Proceedings of the 12th International Conference on Computational Intelligence and Security, 2016

2015

When Factorization Meets Heterogeneous Latent Topics: An Interpretable Cross-Site Recommendation Framework.

Xin Xin, Chin-Yew Lin, Xiaochi Wei, Heyan Huang

J. Comput. Sci. Technol., 2015

Erratum to: Image Fusion by Hierarchical Joint Sparse Representation.

Yao Yao, Ping Guo, Xin Xin, Ziheng Jiang

Cogn. Comput., 2015

Cross-Domain Collaborative Filtering with Review Text.

Xin Xin, Zhirun Liu, Chin-Yew Lin, Heyan Huang, Xiaochi Wei, Ping Guo

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Re-Ranking Voting-Based Answers by Discarding User Behavior Biases.

Xiaochi Wei, Heyan Huang, Chin-Yew Lin, Xin Xin, Xianling Mao, Shangguang Wang

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Neural Networks with Marginalized Corrupted Hidden Layer.

Yanjun Li, Xin Xin, Ping Guo

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Forecasting Collector Road Speeds Under High Percentage of Missing Data.

Xin Xin, Chunwei Lu, Yashen Wang, Heyan Huang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Image Fusion by Hierarchical Joint Sparse Representation.

Yao Yao, Ping Guo, Xin Xin, Ziheng Jiang

Cogn. Comput., 2014

Learning to Display in Sponsored Search.

Xin Xin, Heyan Huang

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

Supervised topic regression via experts.

Song Lin, Ping Guo, Xin Xin

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Nonlinear Cross-Site Transfer Learning Approach for Recommender Systems.

Xin Xin, Zhirun Liu, Heyan Huang

Proceedings of the Neural Information Processing - 21st International Conference, 2014

An Improved Separating Hyperplane Method with Application to Embedded Intelligent Devices.

Yanjun Li, Ping Guo, Xin Xin

Proceedings of the Neural Information Processing - 21st International Conference, 2014

Domain-Specific Product Named Entity Recognition from Chinese Microblog.

Xianxiang Yang, Heyan Huang, Xin Xin, Quanchao Liu, Xiaochi Wei

Proceedings of the Tenth International Conference on Computational Intelligence and Security, 2014

2013

Distinguishing Social Ties in Recommender Systems by Graph-Based Algorithms.

Xiaochi Wei, Heyan Huang, Xin Xin, Xianxiang Yang

Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

A Unified Generative Model for Characterizing Microblogs' Topics.

Kun Zhuang, Heyan Huang, Xin Xin, Xiaochi Wei, Xianxiang Yang, Chong Feng, Ying Fang

Proceedings of the Web-Age Information Management - 14th International Conference, 2013

Online Cross-Lingual PLSI for Evolutionary Theme Patterns Analysis.

Xin Xin, Kun Zhuang, Ying Fang, Heyan Huang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

2012

OMP or BP? A Comparison Study of Image Fusion Based on Joint Sparse Representation.

Yao Yao, Xin Xin, Ping Guo

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Do ads compete or collaborate?: designing click models with full relationship incorporated.

Xin Xin, Irwin King, Ritesh Agrawal, Michael R. Lyu, Heyan Huang

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012