凤维杰，博士，现任合肥工业大学计算机与信息学院讲师。主要研究方向为社会网络分析，情感计算，图表示学习等。
发表论文
Weijie Feng, Binbin Liu, Dongpeng Xu, Qilong Zheng, and Yun Xu. 2021. GraphMR: Graph Neural Network for Mathematical Reasoning. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 3395–3404, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
Weijie Feng, Binbin Liu, Dongpeng Xu, Qilong Zheng, and Yun Xu. 2020. NeuReduce: Reducing Mixed BooleanArithmetic Expressions by Recurrent Neural Network. In Findings of the Association for Computational Linguistics:
EMNLP 2020, pages 635–644, Online. Association for Computational Linguistics.
Dongpeng Xu, Binbin Liu, Weijie Feng, Jiang Ming, Qilong Zheng, Jing Li, and Qiaoyan Yu. 2021. Boosting SMT solver performance on mixed-bitwise-arithmetic expressions. In Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation (PLDI 2021). Association for Computing Machinery, New York, NY, USA, 651–664.
Binbin Liu, Weijie Feng, Qilong Zheng, Jing Li, and Dongpeng Xu. 2021. Software Obfuscation with Non-Linear Mixed Boolean-Arithmetic Expressions. In International Conference on Information and Communications Security
(ICICS 2021), pages 276-292. Sep 17-19, ChongQing China.
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