陳輝:教授、博士/研究生、碩士生導(dǎo)師
研究方向:數(shù)據(jù)挖掘,大數(shù)據(jù)分析
2021.06至今,佛山科學(xué)技術(shù)學(xué)院,特聘教授
2008.07-2021.05,江西財經(jīng)大學(xué),講師/副教授/教授
2004.07-2005.08,河南移動通信有限公司,網(wǎng)絡(luò)工程師
1998.08-2001.08,上海客車制造有限公司,助理工程師
2005.09–2008.06,華中科技大學(xué), 計算機(jī)軟件與理論,博士
2001.09–2004.06, 華中科技大學(xué), 計算機(jī)應(yīng)用技術(shù),碩士
1995.09–1999. 07,同濟(jì)大學(xué), 學(xué)士
1. 主持國家自然科學(xué)基金項目《大數(shù)據(jù)驅(qū)動的復(fù)雜城市路網(wǎng)交通特征分析與資源協(xié)同優(yōu)化》,2020.01-2023.12
2. 參與國家自然科學(xué)基金項目《矩形布局問題的全局搜索關(guān)鍵技術(shù)》,2019.01-2022.12
3. 參與國家自然科學(xué)基金項目《基于事件的社會網(wǎng)絡(luò)中群組推薦關(guān)鍵技術(shù)》,2018.01-2021.12
1. Hui Chen, Jian Huang,Qingshan Deng, Jing Wang, Leilei Kong,Xiaozheng Deng. Multi-granularity user interest modeling and interest drift detection. Intelligent Data Analysis, 2022 (SCI)
2. Jing Wang; Yanfeng Ji; Linfeng Wei; Hui Chen; William Wei Song; A dynamic firefly algorithm based on two-way guidance and dimensional mutation, International Journal Bio-Inspired Computation. SCI, 2021.
3. Jian Huang; Wei Wang; Lirong Wang; Hui Chen; Qingshan Deng; Heying Fan; Yaohua Yu; Application of Deep Reinforcement Learning in Optimization of Traffic Signal Control, DependSys 2021: International Symposium on Dependability in Sensor, Cloud, and Big Data Systems and Applications, 2021
4. Jian Huang; Nana Tao; Shuai Tian; Heying Fan; Hui Chen; Qingshan Deng; Analysis and Deployment of The Optimal Model for Defect Classification and Target Detection, The 14th International Conference on Advanced Computer Theory and Engineering (ICACTE 2021), 2021
5. Hui Chen. Modeling and Detecting Drift in User Interest Based on Hierarchical Classification. Proceedings of the 4th IEEE International Conference on Big Data Analytics, March 15–18, 2019.(EI)
6. 陳輝. 一種多維多粒度用戶興趣模型研究. 小型微型計算機(jī)系統(tǒng), 2017, Vol.38(12):2785-2790.
7. Guanghua Tan, Hui Chen, Jun Qi. A novel image matting method using sparse manual clicks. Multimedia Tools & Applications, 2016, 75(17): 10213- 10225. (SCI)
8. Hui Chen, Song Deng. User Interest Model at Multiple Dimensions and Multiple Granularities. In: Proceedings of 2016 International Conference on Computer Engineering and Information System, November 12-13, 2016, Shanghai, China.
9. Hui Chen. Mining top-k frequent patterns over data streams sliding window. Journal of Intelligent Information Systems, 2014, 42(1):111-131.(SCI)
10. Hui Chen. A REAL-TIME TASKS SCHEDULING METHOD BASED ON DYNAMIC PRIORITY. Journal of Circuits Systems & Computers, 2014, 23(02):1450029-1~14.(SCI)
11. 陳輝. 一種基于位圖計算并行挖掘大數(shù)據(jù)頻繁模式算法. 一種小型微型計算機(jī)系統(tǒng), 2014, Vol.35(7): 1599-1603.
12. Hui Chen, Tsau Young Lin, Zhibing Zhang, etc. Parallel Mining Frequent Patterns over Big Transactional Data in Extended MapReduce. In: 2013 IEEE International Conference on Granular Computing (Grc2013), December 13-15, 2013, Beijing, China. (EI)
13. Hui Chen, Lichyun Shu, Jiali Xia. Mining Frequent Patterns in a Varying-Size Sliding Window over Online Transactional Data Streams. Information Sciences, 2012, 215:15-36. (SCI)
14. 夏家莉, 陳輝, 楊兵. 一種動態(tài)優(yōu)先級實時任務(wù)調(diào)度算法. 計算機(jī)學(xué)報, 2012, 35(12):2685-2695.
15. 陳輝. 挖掘數(shù)據(jù)流滑動時間窗口內(nèi)Top-K頻繁模式. 小型微型計算機(jī)系統(tǒng), 2010, Vol.31(6): 1123-1128.
16. Hui Chen. Efficiently Mining Recent Frequent Patterns Over Online Transactional Data Streams,International Journal of Software Engineering and Knowledge Engineering (IJSEKE),August 2009, Vol. 19(5): 707-725. (SCI)
17. Hui Chen. Jiali Xia. A Real-Time Task Scheduling Algorithm Based on Dynamic Priority. In: Proceedings of the 2009 International Conference on Embedded Software and Systems (ICESS 2009), May 2009: 431-436. (EI)
18. 李國徽, 陳輝. 挖掘數(shù)據(jù)流任意滑動時間窗口內(nèi)頻繁模式. 軟件學(xué)報, 2008, 19(10):2585-2596.
19. 李國徽, 楊兵, 陳輝. 移動環(huán)境下支持實時事務(wù)處理的數(shù)據(jù)預(yù)取. 計算機(jī)學(xué)報, 2008, 31(10):1841-1847