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刘 斌

刘斌 副教授

Email:liubin@swufe.edu.cn

教育经历:

2013.9--2017.12 电子科大学 博士

2016.6—2017.6 英属哥伦比亚大学 访问学生

2008.9--2011.6 电子科大学 硕士

2004.8--2008.7 辽宁工业大学 本科

工作经历:

2018--至今 西南财经大学

2018.9—2020.9 香港大学(博士后)

研究方向:机器学习,自然语言处理,数据挖掘

发表论文:

1. Bin Liu and Guo sheng Yin. 2020. Chinese document classification with bi-directional convolutional language model. In Proceedings of the 43rd Inter-national ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’20), July 25–30, 2020, Virtual Event, China. https://doi.org/10.1145/3397271.3401248.

2. Bin Liu, Liang Wang, Guosheng Yin; Learning distributed sentence vectors with bi-directional 3D convolutions. In Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020).

3. Bin Liu, Xiaoxue Gao, Mengshaung He, Lin Liu, Gguosheng Yin; A Fast Online COVID-19 Diagnostic System with Chest CT Scans . The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2020)

4. Zheng, Liyuan, Yajie Hu, Bin Liu*, and Wei Deng. "Learning robust word representation over a semantic manifold." Knowledge-Based Systems, no. 192 (2020): 105358.

5. Huang, Qian, Bin Liu*, Ningshe Zhao, Zhiyong Zhang, Qiurong Wang, Xiaoli Zhang, Yang Xun, Xiaoyu Ge, Jianlan Ding, and Sai-fu Fung. "Modeling for Professional Athletes’ Social Networks Based on Statistical Machine Learning." IEEE Access (2019).

6. Dan Ma, Bin Liu, Zhao Kang, Jiayu Zhou, Jianke Zhu, and Zenglin Xu*. "Two birds with one stone: Transforming and generating facial images with iterative GAN." Neurocomputing (2019).

7. Bin Liu, Lirong He, Yingming Li, Shandian Zhe, and Zenglin Xu*. "Neuralcp: Bayesian multiway data analysis with neural tensor decomposition." Cognitive Computation 10, no. 6 (2018): 1051-1061.

8. Lirong He, Bin Liu, Guangxi Li, Yongpan Sheng, Yafang Wang, and Zenglin Xu*. "Knowledge base completion by variational bayesian neural tensor decomposition." Cognitive Computation 10, no. 6 (2018): 1075-1084.

9. Zenglin Xu, Bin Liu*, Shandian Zhe, Haoli Bai, Zihan Wang, and Jennifer Neville. "Variational random function model for network modeling." IEEE Transactions on neural networks and learning systems 30, no. 1 (2019): 318-324.

10. Bin Liu, Yingming Li, and Zenglin Xu*. "Manifold regularized matrix completion for multi-label learning with ADMM." Neural Networks 101 (2018): 57-67.

11. Liqiang Wang, Yafang Wang, Bin Liu, Lirong He, Shijun Liu, Gerard De Melo, and Zenglin Xu. "Link prediction by exploiting network formation games in exchangeable graphs." In 2017 International Joint Conference on Neural Networks (IJCNN), pp. 619-626. IEEE, 2017.

12. Bin Liu, Zenglin Xu, Bo Dai, Haoli Bai, Xianghong Fang, Yazhou Ren, and Shandian Zhe. "Learning from semantically dependent multi-tasks." In 2017 International Joint Conference on Neural Networks (IJCNN), pp. 3498-3505. IEEE, 2017.

13. Haoli Bai, Zenglin Xu, Bin Liu, and Yingming Li. "Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network." In Asian Conference on Machine Learning, pp. 270-285. 2016.

14. Bin Liu, Zenglin Xu*, Shuang Wu, and Fei Wang. "Manifold regularized matrix completion for multilabel classification." Pattern Recognition Letters 80 (2016): 58-63.


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