檢視黄鹂（讲师）的原始碼

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|<center>''' 黄鹂  '''<br><img src=" https://it.swufe.edu.cn/__local/1/71/EE/C83E78726B0CA3F6FA9599442BD_D8704D2F_6517F.jpg?e=.jpg " width="180"></center><small>[https://it.swufe.edu.cn/info/1122/2329.htm  西南财经大学]

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'''黄鹂'''，女，西南财经大学讲师。

==研究领域==

[[深度学习]]

[[自然语言处理]]

[[财经科技]]

==讲授课程==

本科：操作系统、编译原理、人工智能实训、现代科技与人工智能

硕士：人工智能概述

==研究成果==

=== 学术论文 ===

[1]Li Huang，Honemei Wu，Guisong Liu, Qiang Gao. “Attention Localness in Shared Encoder-Decoder Model for Text Summarization.” In 48th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023). （CCF -B类会议，语音信号处理国际顶会）

[2]Qiang Gao, Wei Wang, Li Huang, Xin Yang, Tianrui Li and Hamido Fujita. "Dual-grained Human Mobility Learning for Location-aware Trip Recommendation with Spatial-temporal Graph Knowledge Fusion", Information Fusion, 2023. (JCR一区Top)

[3]Xin Yang, Metoh Adler LOUA, Meijun Wu, Li Huang, and Qiang Gao. "Multi-granularity Stock Prediction with Sequential Three-way Decisions", Knowledge-Based Systems,2023. (SCI一区，财大A类)

[4]Li Huang, Wenyu Chen, Youguo Liu, Shuai Hou, Hong Qu. “Summarization with Self-Aware Context Selecting Mechanism.” IEEE Transactions on Cybernetics, 2021, doi: 10.1109/TCYB.2020.3042230. 2021.（JCR一区Top）

[5]Li Huang, Wenyu Chen, Youguo Liu, He Zhang, Hong Qu. “Improving neural machine translation using gated state network and focal adaptive attention network.” Neural Computing & Application, 2021, Vol 33, pp. 15955–15967. (JCR二区)

[6]Li Huang, Wenyu Chen, Hong Qu. 2021. “Accelerating Transformer for Neural Machine Translation.” In 2021 13th International Conference on Machine Learning and Computing (ICMLC 2021). Association for Computing Machinery, 2021, pp. 191-197.

[7]Li Huang, Wenyu Chen, "Gated Residual Connection for Neural Machine Translation," In 16th International Computer Conference on Wavelet Active Media Technology and Information Processing, IEEE, 2019, pp. 258-261.

[8]Rubungo Andre Niyongabo, Hong Qu, Julia Kreutzer, Li Huang. “KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi.” In 28th International Conference on Computational Linguistics (COLING 2020), 2020: 5507-5521.（CCF-B类会议，自然语言处理旗舰会议）

[9]Xiaomin Zhang, Li Huang, Hong Qu. “AHNN: An Attention-Based Hybrid Neural Network for Sentence Modeling.” In Natural Language Processing and Chinese Computing (NLPCC 2017), Springer, Vol 10619, pp. 731-740. （CCF-C类会议）

[10]Mingsheng Fu, Hong Qu, Li Huang, Li Lu. “Bag of meta-words: A novel method to represent document for the sentiment classification.” Expert Systems with Applications, 2018, Vol 113, pp. 33-43. （JCR二区， IF）

[11]Li Zhou, Tingyu Wang, Hong Qu, Li Huang, Yuguo Liu. “A weighted GCN with Logical Adjacency Matrix for Relation Extraction.” In 24th European Conference on Artificial Intelligence (ECAI 2020), 2020 (325): 2314-2321. （CCF-B类会议）

[12]刘贵松，郑余，解修蕊，黄鹂，丁浩伦。基于损失预测的双主动域适应算法研究。计算机学报。2023(3). （CCF-A类中文期刊）

=== 专利 ===

[1]屈鸿，秦展展，侯帅，黄鹂，张晓敏。 一种引入多路选择融合机制的多标签长文本分类方法，2019-05-17，中国，ZL201910410661.4

[2]黄鹂，伍红梅，梁若暄，刘贵松，蒋太翔，殷光强。跨语际语言翻译的神经机器翻译模型构建及其翻译方法，2022-10-05，中国，202210808791.5

[3]屈鸿，黄鹂，王淼，张晓敏，刘洋军，张亦洲，程绍欢。一种基于分块机制的机器翻译方法，2018-11-06，中国，2018104893333

==科研项目==

[1]国家科学技术部，重点研发计划，2018AAA00202，神经元和模块功能特异化研究，2019.12-2023.12，在研，主研

[2]光华英才工程-青年教师成长计划项目，2022，在研，主持

[3]中央高校基本科研项目，2022020078，深度学习方法在方面级情感分析任务上的研究与应用，在研，主持

[4]西南财经大学引进人才科研启动资助项目（重点项目），移动性表征动态持续学习研究，2021-1至2021-12，已结题，主持

[5]四川省重点研发计划，2022YFG0314, 类脑智能芯片低功耗学习方法研究, 2022-1至2023-12, 在研，主研

[6]国家自然科学基金青年基金项目，61806040，具有时序迁移能力的Spiking-Transfer learning (脉冲-迁移学习)方法研究，2019-01 至 2021-12，主研，结题。<ref>[https://www.swufe.edu.cn/index.htm 西南财经大学]</ref>
==参考资料== 
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[[Category:教师]]