Xiaomin Sun

Affiliations:
  • Tsinghua University, Department of Computer Science and Technology, Beijing, China
  • Beijing National Research Center for Information Science and Technology (BNRist), Beijing, China


According to our database1, Xiaomin Sun authored at least 18 papers between 2004 and 2020.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Combining Fine-Tuning with a Feature-Based Approach for Aspect Extraction on Reviews (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A joint model of extended LDA and IBTM over streaming Chinese short texts.
Intell. Data Anal., 2019

Balancing exploration and exploitation in multiobjective batch bayesian optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Noisy multiobjective black-box optimization using bayesian optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Topic Discovery for Streaming Short Texts with CTM.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Attention-Based BiLSTM Network with Lexical Feature for Emotion Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Two-Stage Attention Network for Aspect-Level Sentiment Classification.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
ABiRCNN with neural tensor network for answer selection.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Optimize collapsed Gibbs sampling for biterm topic model by alias method.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Grasp the implicit features: Hierarchical emotion classification based on topic model and SVM.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Tweet modeling with LSTM recurrent neural networks for hashtag recommendation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Hyperbolic linear units for deep convolutional neural networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014
A GPU Based Parallel Computing Mechanism Of an Etching Profile Evolution Model.
Proceedings of the 44. Jahrestagung der Gesellschaft für Informatik, Big Data, 2014

2009
Duple-EDA and sample density balancing.
Sci. China Ser. F Inf. Sci., 2009

An XCP Based Distributed Calibration System.
Proceedings of the Advances in Software Engineering, 2009

2007
Cross entropy and adaptive variance scaling in continuous EDA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2004
Negative correlation learning approach for T-S fuzzy models.
Proceedings of the IEEE International Conference on Systems, 2004


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