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关于申请2021年上半年博士生学位答辩人员成果的公示

发布日期：2021-03-29 发布人： 点击量：

2021年上半年申请博士生学位答辩人员共16人，现在按学校相关要求进行公示，公示时间为三天。人员按学号排序。

 

1、2013531010 宋国航，导师：徐高潮

成果：

1. Personalized Recommendation Algorithm Based on Preference Features 作者: Hu, Liang; Song,    Guohang; Xie, Zhenzhen; 等.TSINGHUA SCIENCE AND TECHNOLOGY  卷: 19   期: 3   页: 293-299   出版年: JUN 2014  DOI: 10.1109/TST.2014.6838200

2. Common but Innovative: Learning Features From Apps in Different Domains 作者:Song, GH (Song, Guohang)[ 1,2 ] ; Hu, L (Hu, Liang)[ 1,2 ] ; Liu, YZ (Liu, Yuzhou)[ 1,3 ] 查看 Web of Science ResearcherID 和 ORCID IEEE ACCESS 卷: 8 页: 186904-186918 DOI: 10.1109/ACCESS.2020. 3029262

 

2、2014531008谢珍真，导师：胡亮

已发表成果清单如下：

1. Xie, Zhenzhen, Liang Hu, Kuo Zhao, Feng Wang, Junjie Pang. “Topology2Vec: Topology Representation Learning For Data Center Networking.” IEEE Access 6 (2018): 33840-33848. （doi: 10.1109/ACCESS.2018.2846541, SCI期刊，中科院二区，影响因子3.745）检索号：WOS000438520600001

2. Xie, Zhenzhen, Liang Hu, Feng Wang, Jin Li, Kuo Zhao. “PEMM: A Privacy-Aware Data Aggregation Solution for Mobile Sensing Networks.” ISICA 2015（doi: https://doi.org/10.1007/978-981-10-0356-1_50, EI会议）检索号：WOS000373069100039.

3. Zhenzhen Xie, Liang Hu, Yan Huang. “A Semi-opportunistic Task Allocation Framework For Mobile Crowdsensing with Deep Learning.”Wireless Communications and Mobile Computing （SCI期刊，CCF-C类，影响因子：1.819，在线发表，doi: ）

 

3、2015531006李腾飞，导师：胡亮

成果清单：

1.   Li Tengfei, Hu Liang, Chu Jianfeng, et al. An Unsupervised Approach for Keyphrase Extraction Using Within-Collection Resources[J]. IEEE Access, 2019, 7: 126088-126097. （中科院2区，SCI期刊）检索号：WOS:000487084600001

2.   Li Tengfei, Li Hongtu, Hu Liang, et al. A Reversible Steganography Method with Statistical Features Maintained Based on the Difference Value[J]. IEEE Access, 2020, 8: 12845-12855.（中科院2区，SCI期刊）检索号：WOS:000525409100083

3.   Hu Liang, Li Tengfei, Li Yan, et al. The Research and Outlook for Keyword-Based Searchable Encryption in Cloud Storage[J]. Journal of Communications, 2015, 10(10). （EI期刊）检索号：20160601902845

4.   Li Tengfei, Hu Liang, Li Yan, et al. The Research and Prospect of Secure Data Access Control in Cloud Storage Environment[J]. Journal of Communications, 2015, 10(10): 753-759.（EI期刊）检索号：20160601902843

 

4、2015531017裴红斌，导师：杨博

已发表成果清单：

会议论文：

[1]Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Chunxu Zhang, Bo Yang. Curvature Regularization to Prevent Distortion in Graph Embedding. Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020.

[2] Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang. Geom-GCN: Geometric Graph Convolutional Networks. Eighth International Conference on Learning Representations (ICLR), 2020

[3] Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong. Group Sparse Bayesian Learning for Actively Surveillance on Epidemic Dynamics. AAAI’18: Proc. of 32-th AAAI Conference on Artificial Intelligence, 2018

期刊论文：

[4] Hongbin Pei, Bo Yang, Jiming Liu, Kevin Chen-Chuan Chang. Active Surveillance via Group Sparse Bayesian Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020, DOI: 10.1109/TPAMI.2020.3023092

[5] Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia. Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017, DOI: 10.1109/TPAMI.2016.2605095

 

5、2016531009崔佳旭，导师：杨博

  • 本人为第一作者论文：

  1. Jiaxu Cui, Bo Yang, and Xia Hu. Deep Bayesian Optimization on Attributed Graphs. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19), 2019, 33(01): 1377-1384. EI会议, CCF推荐国际学术会议和期刊目录A类会议, 已检索, 索引号: 20203509101398

  2. Jiaxu Cui, Bo Yang, Bingyi Sun, Xia Hu, and Jiming Liu. Scalable and Parallel Deep Bayesian Optimziation on Attributed Graphs. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020, 1-14. SCI期刊, 中科院1区, IF: 8.793, CCF推荐国际学术会议和期刊目录B类期刊, 已在线发表, DOI: 10.1109/TNNLS.2020.3027552.

  3. Jiaxu Cui, Bo Yang, Bingyi Sun, and Jiming Liu. Cost-aware Graph Generation: A Deep Bayesian Optimization Approach. In Proceedings of the 35rd AAAI Conference on Artificial Intelligence (AAAI-21), 2021. EI会议, CCF推荐国际学术会议和期刊目录A类会议, 已在线发表，DOI: 10.1016/j.eswa.2020.114524

  4. 崔佳旭, 杨博. 贝叶斯优化方法和应用综述. 软件学报, 2018, 29(10): 3068-3090. EI期刊, CCF推荐中文科技期刊目录A类期刊, 已检索, 索引号: 20185206314470

     

    6、2017531005宋诗楠，导师：房至一

    已发表成功清单：

    [1] Song S , Fang Z , Zhang Z , et al. Semi-online Computational Offloading by Dueling Deep-Q Network for User Behavior Prediction[J]. IEEE Access, 2020, PP(99):1-1. (SCI，WOS: 000549136600001，DOI：)

    [2] Song S , Fang Z , Chu S , et al. Efficient Semi-Online Algorithms for Multiple Objects in Computational Offloading [ J ]. International Journal of Pattern Recognition and Artificial Intelligence, 2020. ( SCI，WOS: 000585936500011，DOI：)

     

    7、2017531014周文博，导师：刘磊

    已发表成果清单：

  5. Wenbo Zhou, Lei Liu, Peng Zhang, Shuai Lü, Jingyao Li. SDAC: A Model for Analysis of the Execution Semantics of Data Processing Framework in Cloud[J]. Computer Languages, Systems & Structures, 2018, 54: 406-426.（检索类别：SCI，检索号：000454970200019，CCF-C类期刊）

  6. Wenbo Zhou, Lei Liu, Shuai Lü, Peng Zhang. Toward Formal Modeling and Verification of Resource Provisioning as a Service in Cloud[J]. IEEE Access, 2019, 7: 26721-26730.（检索类别：SCI，检索号：000461557900001，中科院JCR-2区期刊）

  7. Wenbo Zhou, Philippe Dague, Lei Liu, Lina Ye, Fatiha Zäıdi. A Coloured Petri Nets Based Attack Tolerance Framework[C]. In Proceedings of the 27th Asia-Pacific Software Engineering Conference (APSEC), Singapore, 2020.（检索类别：录用，已线上开会，CCF-C类会议）

  8. 周文博,刘磊,张鹏,吕帅. Tabular表达式中正规函数表操作的形式语义[J]. 华南理工大学学报(自然科学版), 2019, 47(2): 85-91.（检索类别：EI，检索号：20192407043370）

 

8、2017531022石泽男，导师：申铉京

成果清单：

  1. Shi Z, Shen X, Chen H, et al. Global Semantic Consistency Network for Image Manipulation Detection[J]. IEEE Signal Processing Letters, 2020, 27: 1755-1759. 中科院3区，CCF-C类期刊，WOS:000578457100004.

  2. Shi Z, Shen X, Kang H, et al. Image manipulation detection and localization based on the dual-domain convolutional neural networks[J]. IEEE Access, 2018, 6: 76437-76453. 中科2区，WOS: 000454301000001.

 

9、2017531025许骞艺，导师：秦贵和

已发表成果：

  1. 发明专利：一种基于3d卷积神经网络的手势识别方法（已公开，公开号：CN108197580B）许骞艺; 秦贵和; 姜慧明; 张钟翰; 晏婕; 刘毅; 袁帅; 秦俊

  2. XU Qianyi，QIN Guihe，SUN Minghui，YAN Jie，JIANG Huiming，ZHANG Zhonghan. Feature Fusion based Hand Gesture Recognition Method for Automotive Interfaces[J]. Chinese Journal of Electronics，2020，29（6）：1153-1164. WOS: 609935600019.

  3. 许骞艺，秦贵和，孙铭会，孟诚训. 基于改进的ResNeSt驾驶员头部状态分类算法.太阳成集团tyc122cc学报(工学版），2021，51（02）：704-711.

 

10、2017531028钟晓丹，导师：刘元宁

已发表成果清单：

[1] Zhong X, Liu Y, Liu H, Zhang Y, Wang L, Zhang H. Identification of Potential Prognostic Genes for Neuroblastoma[J]. Frontiers in genetics. 2018; 9: 589. (SCI, IF: 3.258, 中科院3区，WOS:000451728400001)

[2] Zhong X, Zhang Y, Wang L, Zhang H, Liu H, Liu Y. Cellular components in tumor microenvironment of neuroblastoma and the prognostic value [J]. PeerJ. 2019; 7: e8017. (SCI, IF: 2.379, 中科院3区，WOS:000502042900003)

 

11、2017535002邵丹，导师：黄岚

1. Huang Lan, Shao Dan, Wang Yan, Cui Xueteng, Li Yufei, Chen Qian, Cui Juan. Human body-fluid proteome: quantitative profiling and computational prediction. Briefings in Bioinformatics, 2020;22（1）：315-333.（中科院1区， IF 9.1）

2. 黄岚，邵丹，王岩，何凯，杨森，白天，基于卷积神经网络的精液蛋白质的预测方法（ZL201911073759.1）2019.11.06。

 

12、2018531002董运萌，导师：张猛

已发表成果清单如下：

(1) Dong Yumeng , Xu Gaochao , Ding Yan, et al. A ‘Joint-Me’ Task Deployment Strategy for Load Balancing in Edge Computing[J]. IEEE Access, 2019.(Index by SCI)(索引号：WOS:000480335700005）

(2) Dong Yumeng , Xu Gaochao, Zhang Meng, et al. "A High-Efficient Joint 'Cloud-Edge' Aware Strategy for Task Deployment and Load Balancing"[J]. IEEE Access, 2021，9：12791-12802，WOS: 000611806700001.

 

13、2018531027田乃予，导师：欧阳丹彤

已发表成果清单：

  1. Tian N, Ouyang D, Wang Y, et al. Core-guided method for constraint-based multi-objective combinatorial optimization[J]. Applied Intelligence, 2020. 在线发表，DOI: 10.1007/s10489-020-01998-5. （一作,SCI：CCF C区,中科院3区,JCR 2区,IF：3.325, WOS:000591245100001）

  2. Tian N, Ouyang D, Jia F, et al. A parallel extension rule-based algorithm for #SAT problem using model-counting tree[J]. IEEE Access, 2018, 6: 41042-41049.（第一作者，SCI：中科院2区、JCR 1 区，IF：3.745，WOS: 000441868800061）

  3. 田乃予, 欧阳丹彤, 刘梦, 等. 基于子集一致性检测的诊断解极小性判定方法[J]. 计算机研究与发展, 2019, 56(7):1396-1407.（第一作者，CCF A区中文期刊，EI：20193507366763）

 

14、2018531034盖迪，导师：申铉京

成果清单：

  1. Gai D, Shen X, Chen H, et al. Multi-focus image fusion method based on two stage of convolutional neural network[J]. Signal Processing, 2020: 107681. 中科院2区，CCF-C类期刊，WOS:000566874300008.

  2. Gai D, Shen X, Chen H, et al. Medical image fusion using the PCNN based on IQPSO in NSST domain[J]. IET Image Processing, 2020, 14(9): 1870-1880. 中科院4区，CCF-C类期刊，WOS:000555968900022.

  3. Gai D, Shen X, Cheng H, et al. Medical image fusion via PCNN based on edge preservation and improved sparse representation in NSST domain[J]. IEEE Access, 2019, 7: 85413-85429. 中科2区，WOS:000475811100001.

 

15、2018531043杨森，导师：王岩

1. Wang, Y., Yang, S., Zhao, J., Du, W., Liang, Y., Wang, C., ... & Ma, Q. (2019). Using machine learning to measure relatedness between genes: a multi-features model. Scientific reports, 9(1), 1-15., DOI: 10.1038/s41598-019-40780-7, WOS: 000460922200028. (SCI, IF=4.011,中科院分区: 3区, 导师一作，学生二作)

2. Yang, S., Wang, Y., Zhang, S., Hu, X., Ma, Q., & Tian, Y. (2020). NCResNet: Noncoding Ribonucleic Acid Prediction Based on a Deep Resident Network of Ribonucleic Acid Sequences. Frontiers in Genetics,11, 90. DOI: 10.3389/fgene.2020.00090, WOS:000525237400001. (SCI, IF=3.258,中科院分区: 2区)

3. Yang, S., Wang, Y., Lin, Y., Shao, D., He, K., & Huang, L. (2020). LncMirNet: Predicting LncRNA–miRNA Interaction Based on Deep Learning of Ribonucleic Acid Sequences. Molecules, 25(19), 4372. DOI: 10.3390/molecules25194372, WOS:000586667900001. (SCI, IF=3.267,中科院分区：3区)

 

16、2018531055刘洋，导师：王利民

已发表成果清单：

1. Liu Yang, Wang Limin, Mammadov M., et al. Hierarchical Independence Thresholding for learning Bayesian network classifiers. Knowledge-Based Systems, 2020 (212): 106627,  https://doi.org/10.1016/j.knosys.2020.106627. (SCI，000604528000005)

2. Liu Yang ,  Wang Limin ,  Mammadov M. Learning semi-lazy Bayesian network classifier under the c.i.i.d assumption. Knowledge-Based Systems, 2020(208): 106422 , https://doi.org/10.1016/j.knosys.2020.106422. (SCI, 检索号000582515800003)

3. Wang Limin, Liu Yang, Mammadov M, Sun Minghui, Qi Sikai. Discriminative Structure Learning of Bayesian Network Classifiers from Training Dataset and Testing Instance. Entropy, 2019, 21(5): 489, . (SCI已检索, 检索号000472675900053)

4. Liu Yang, Wang Limin, Sun Minghui. Efficient Heuristics for Structure Learning of k-Dependence Bayesian Classifier. Entropy, 2018, 20(12): 897, . (SCI已检索, 检索号000454282000005)

5. 王利民, 刘洋, 孙铭会, 李美慧. 基于Markov blanket的无约束型K阶贝叶斯集成分类模型. 太阳成集团tyc122cc学报(工学版) , 2018 , 48 ( 06 ) : 228 - 235 , . (EI已检索，检索号20184606077544)

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