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黃鸝(講師)檢視原始碼討論檢視歷史

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黃鸝
西南財經大學

黃鸝,女,西南財經大學講師。

研究領域

深度學習

自然語言處理

財經科技

講授課程

本科:操作系統、編譯原理、人工智能實訓、現代科技與人工智能

碩士:人工智能概述

研究成果

學術論文

[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類會議,語音信號處理國際頂會)

[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一區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一區,財大A類)

[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一區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二區)

[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類會議,自然語言處理旗艦會議)

[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類會議)

[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二區, 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類會議)

[12]劉貴松,鄭余,解修蕊,黃鸝,丁浩倫。基於損失預測的雙主動域適應算法研究。計算機學報。2023(3). (CCF-A類中文期刊)

專利

[1]屈鴻,秦展展,侯帥,黃鸝,張曉敏。 一種引入多路選擇融合機制的多標籤長文本分類方法,2019-05-17,中國,ZL201910410661.4

[2]黃鸝,伍紅梅,梁若暄,劉貴松,蔣太翔,殷光強。跨語際語言翻譯的神經機器翻譯模型構建及其翻譯方法,2022-10-05,中國,202210808791.5

[3]屈鴻,黃鸝,王淼,張曉敏,劉洋軍,張亦洲,程紹歡。一種基於分塊機制的機器翻譯方法,2018-11-06,中國,2018104893333

科研項目

[1]國家科學技術部,重點研發計劃,2018AAA00202,神經元和模塊功能特異化研究,2019.12-2023.12,在研,主研

[2]光華英才工程-青年教師成長計劃項目,2022,在研,主持

[3]中央高校基本科研項目,2022020078,深度學習方法在方面級情感分析任務上的研究與應用,在研,主持

[4]西南財經大學引進人才科研啟動資助項目(重點項目),移動性表徵動態持續學習研究,2021-1至2021-12,已結題,主持

[5]四川省重點研發計劃,2022YFG0314, 類腦智能芯片低功耗學習方法研究, 2022-1至2023-12, 在研,主研

[6]國家自然科學基金青年基金項目,61806040,具有時序遷移能力的Spiking-Transfer learning (脈衝-遷移學習)方法研究,2019-01 至 2021-12,主研,結題。[1]

參考資料