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ORCIDXin Xin 0001
Person information
- affiliation: Beijing Institute of Technology, Beijing School of Computer Science and Technology, China
Other persons with the same name
- Xin Xin — disambiguation page
- Xin Xin 0002 — Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
- Xin Xin 0003
![[0000-0001-6116-9115]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-6116-9115")
— Shandong University, Information Retrieval Lab, School of Computer Science and Technology, China (and 2 more) - Xin Xin 0004 — Okayama Prefectural University, Faculty of Computer Science and Systems Engineering, Japan
- Xin Xin 0005 — Xi'an University of Posts and Telecommunications, School of Electronics Engineering, China
- Xin Xin 0006 — Beijing Normal University, Faculty of Psychology, China
- Xin Xin 0007 — University of Glasgow, School of Computing Science, UK (and 1 more)
- Xin Xin 0008 — University of Central Florida, FL, USA (and 2 more)
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2020 – today
- 2020
[c35]Yanping Wang, Xin Xin, Ping Guo:
An Empirical Study of Pre-trained Embedding on Ultra-Fine Entity Typing. SMC 2020: 2656-2661
2010 – 2019
- 2019
- [c34]Rui Wang, Xin Xin, Wei Chang, Kun Ming, Biao Li, Xin Fan:
Chinese NER with Height-Limited Constituent Parsing. AAAI 2019: 7160-7167 - [c33]Xiaoyu Dong, Xin Xin, Ping Guo:
Chinese NER by Span-Level Self-Attention. CIS 2019: 68-72 - [c32]Yan Wang, Xin Xin, Ping Guo:
Relation Extraction via Attention-Based CNNs using Token-Level Representations. CIS 2019: 113-117 - 2018
- [c31]Jue Wang, Ping Guo, Xin Xin:
Review of Pseudoinverse Learning Algorithm for Multilayer Neural Networks and Applications. ISNN 2018: 99-106 - [c30]Cuihua Ma, Ping Guo, Xin Xin:
Personalized Response Generation for Customer Service Agents. ISNN 2018: 476-483 - [c29]Rui Wang, Ping Guo, Xin Fan, Biao Li, Wei Zhang, Xin Xin:
Listwise Click-Through Rate Prediction with Item-Item Interactions. SMC 2018: 4417-4423 - [c28]Jie Gao, Xin Xin, Junshuai Liu, Rui Wang, Jing Lu, Biao Li, Xin Fan, Ping Guo:
Fine-Grained Deep Knowledge-Aware Network for News Recommendation with Self-Attention. WI 2018: 81-88 - 2017
- [c27]Qiang Pan, Ping Guo, Xin Xin, Junshuai Liu:
Extracting Company-Specific Keyphrases from News Media. CIS 2017: 135-139 - [c26]Cuihua Ma, Ping Guo, Xin Xin, Xiaoyu Ma, Yanjie Liang, Shaomin Xing, Li Li, Shaozhuang Liu:
Collaborative Response Content Recommendation for Customer Service Agents. ISNN (1) 2017: 36-43 - [c25]Jian Hu, Xin Xin, Ping Guo:
LSTM with Matrix Factorization for Road Speed Prediction. ISNN (1) 2017: 242-249 - [c24]Kuai Zhang, Xin Xin, Pei Luo, Ping Guo:
Fine-grained news recommendation by fusing matrix factorization, topic analysis and knowledge graph representation. SMC 2017: 918-923 - [c23]Pei Luo, Xin Xin, Kuai Zhang, Ping Guo, Yang Yu, Zichao Wang:
Predicting the number of driving service orders in fine-grained regions by an ensemble multi-view-based model. SMC 2017: 936-941 - [c22]Ke Wang, Ping Guo, Xin Xin, Zebin Ye:
Autoencoder, low rank approximation and pseudoinverse learning algorithm. SMC 2017: 948-953 - [c21]Junshuai Liu, Xin Xin, Li Li, Shaozhuang Liu, Xiaoyu Ma:
A multi-level encoder for text summarization. SSCI 2017: 1-6 - [i1]Ping Guo, Fuqing Duan, Pei Wang, Yao Yao, Xin Xin:
Pulsar Candidate Identification with Artificial Intelligence Techniques. CoRR abs/1711.10339 (2017) - 2016
- [c20]Yao Yao, Xin Xin, Ping Guo:
Pulsar Candidate Selection by Assembling Positive Sample Emphasized Classifiers. CIS 2016: 120-124 - [c19]Yanjun Li, Ping Guo, Xin Xin:
A Divide and Conquer Method for Automatic Image Annotation. CIS 2016: 660-664 - [c18]Yao Yao, Xin Xin, Ping Guo:
A rank minimization-based late fusion method for multi-label image annotation. ICPR 2016: 847-852 - [c17]Ke Wang, Ping Guo, Qian Yin, A-Li Luo, Xin Xin:
A pseudoinverse incremental algorithm for fast training deep neural networks with application to spectra pattern recognition. IJCNN 2016: 3453-3460 - [c16]Peng Ji, Xin Xin, Ping Guo:
Fine-Grained Real Estate Estimation Based on Mixture Models. ISNN 2016: 555-564 - [c15]Ke Wang, Ping Guo, A-Li Luo, Xin Xin, Fuqing Duan:
Deep neural networks with local connectivity and its application to astronomical spectral data. SMC 2016: 2687-2692 - 2015
- [j3]Yao Yao, Ping Guo, Xin Xin, Ziheng Jiang:
Erratum to: Image Fusion by Hierarchical Joint Sparse Representation. Cogn. Comput. 7(5): 633 (2015) - [j2]Xin Xin, Chin-Yew Lin, Xiaochi Wei, Heyan Huang:
When Factorization Meets Heterogeneous Latent Topics: An Interpretable Cross-Site Recommendation Framework. J. Comput. Sci. Technol. 30(4): 917-932 (2015) - [c14]Xin Xin, Chunwei Lu, Yashen Wang, Heyan Huang:
Forecasting Collector Road Speeds Under High Percentage of Missing Data. AAAI 2015: 1917-1923 - [c13]Yanjun Li, Xin Xin, Ping Guo:
Neural Networks with Marginalized Corrupted Hidden Layer. ICONIP (3) 2015: 506-514 - [c12]Xin Xin, Zhirun Liu, Chin-Yew Lin, Heyan Huang, Xiaochi Wei, Ping Guo:
Cross-Domain Collaborative Filtering with Review Text. IJCAI 2015: 1827-1834 - [c11]Xiaochi Wei, Heyan Huang, Chin-Yew Lin, Xin Xin, Xianling Mao, Shangguang Wang:
Re-Ranking Voting-Based Answers by Discarding User Behavior Biases. IJCAI 2015: 2380-2386 - 2014
- [j1]Yao Yao, Ping Guo, Xin Xin, Ziheng Jiang:
Image Fusion by Hierarchical Joint Sparse Representation. Cogn. Comput. 6(3): 281-292 (2014) - [c10]Xianxiang Yang, Heyan Huang, Xin Xin, Quanchao Liu, Xiaochi Wei:
Domain-Specific Product Named Entity Recognition from Chinese Microblog. CIS 2014: 218-222 - [c9]Yanjun Li, Ping Guo, Xin Xin:
An Improved Separating Hyperplane Method with Application to Embedded Intelligent Devices. ICONIP (2) 2014: 118-125 - [c8]Xin Xin, Zhirun Liu, Heyan Huang:
A Nonlinear Cross-Site Transfer Learning Approach for Recommender Systems. ICONIP (1) 2014: 495-502 - [c7]Song Lin, Ping Guo, Xin Xin:
Supervised topic regression via experts. IJCNN 2014: 3526-3533 - [c6]Xin Xin, Heyan Huang:
Learning to Display in Sponsored Search. PAKDD Workshops 2014: 357-368 - 2013
- [c5]Xin Xin, Kun Zhuang, Ying Fang, Heyan Huang:
Online Cross-Lingual PLSI for Evolutionary Theme Patterns Analysis. PAKDD (1) 2013: 74-85 - [c4]Kun Zhuang, Heyan Huang, Xin Xin, Xiaochi Wei, Xianxiang Yang, Chong Feng, Ying Fang:
A Unified Generative Model for Characterizing Microblogs' Topics. WAIM 2013: 583-594 - [c3]Xiaochi Wei, Heyan Huang, Xin Xin, Xianxiang Yang:
Distinguishing Social Ties in Recommender Systems by Graph-Based Algorithms. WISE (1) 2013: 219-228 - 2012
- [c2]Xin Xin, Irwin King, Ritesh Agrawal, Michael R. Lyu, Heyan Huang:
Do ads compete or collaborate?: designing click models with full relationship incorporated. CIKM 2012: 1839-1843 - [c1]Yao Yao, Xin Xin, Ping Guo:
OMP or BP? A Comparison Study of Image Fusion Based on Joint Sparse Representation. ICONIP (5) 2012: 75-82
Coauthor Index
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