Zhigang Yuan

Orcid: 0000-0002-9299-2240

According to our database1, Zhigang Yuan authored at least 26 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
Comparison of Simulated and Measured Power of the Earth-Space Link for Satellite-Based AIS Signals.
Sensors, August, 2023

Semi-supervised named entity recognition in multi-level contexts.
Neurocomputing, 2023

2021
Dynamic Forecasting Algorithm of Inbound Ice and Snow Tourism in China Based on Improved Deep Confidence Network.
Mob. Inf. Syst., 2021

2020
Multi-source data fusion for aspect-level sentiment classification.
Knowl. Based Syst., 2020

Named Entity Recognition in Multi-level Contexts.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

2019
Aspect-based sentiment analysis via fusing multiple sources of textual knowledge.
Knowl. Based Syst., 2019

Semi-supervised dimensional sentiment analysis with variational autoencoder.
Knowl. Based Syst., 2019

MSA: Jointly Detecting Drug Name and Adverse Drug Reaction Mentioning Tweets with Multi-Head Self-Attention.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Routing without Routing Algorithms: An AI-Based Routing Paradigm for Multi-Domain Optical Networks.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019

Neural Review Rating Prediction with User and Product Memory.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Domain attention model for multi-domain sentiment classification.
Knowl. Based Syst., 2018

A hybrid unsupervised method for aspect term and opinion target extraction.
Knowl. Based Syst., 2018

THU_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji Prediction.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

THU_NGN at SemEval-2018 Task 10: Capturing Discriminative Attributes with MLP-CNN model.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Distant Supervision for Relation Extraction with Neural Instance Selector.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

Neural Sentence-Level Sentiment Classification with Heterogeneous Supervision.
Proceedings of the IEEE International Conference on Data Mining, 2018

Neural Metaphor Detecting with CNN-LSTM Model.
Proceedings of the Workshop on Figurative Language Processing, 2018

2017
Collaboratively Training Sentiment Classifiers for Multiple Domains.
IEEE Trans. Knowl. Data Eng., 2017

Domain-specific sentiment classification via fusing sentiment knowledge from multiple sources.
Inf. Fusion, 2017

Sentence-level Sentiment Classification with Weak Supervision.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

THU_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM.
Proceedings of the IJCNLP 2017, Shared Tasks, Taipei, Taiwan, November 27, 2017

2016
A multi-granularity fuzzy computing model for sentiment classification of Chinese reviews.
J. Intell. Fuzzy Syst., 2016

Co-detecting social spammers and spam messages in microblogging via exploiting social contexts.
Neurocomputing, 2016

2015
Social Spammer and Spam Message Co-Detection in Microblogging with Social Context Regularization.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015


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