论文和授权专利等研究成果

1.Rong Gu, Han Yin, Weichang Zhong, Chunfeng Yuan, Yihua Huang. Meces: Latency-effcient Rescaling via Prioritized State Migration for

Stateful Distributed Stream Processing Systems. accepted by USENIX Annual Technical Conference （USENIX ATC 2022，CCF-A类会议）, to appear.

2. Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, and Yihua Huang. Knowledge-enhanced Black-box Attacks for Recommendations. accepted by the 28rd SIGKDD conference on Knowledge Discovery and Data Mining (SIG KDD 2022,CCF A), to appear.

3.Guanghui Zhu, Zhuoer Xu, Chunfeng Yuan, and Yihua Huang. DIFER: Differentiable Automated Feature Engineering. accepted by the 1st International Conference on Automated Machine Learning (AutoML-Conf 2022),   to appear.

4.Rong Gu, Kai Zhang, Zhihao Xu, Yang Che, Bin Fan, Haojun Hou, Haipeng Dai, Li Yi, Yu Ding, Guihai Chen and Yihua Huang. Fluid: Dataset Abstraction and Elastic Acceleration for Cloud-native Deep Learning Training Jobs. Accpted by (IEEE ICDE 2022, CCF-A), to appear.

5.Rong Gu, Yuquan Chen, Shuai Liu, Haipeng Dai, Guihai Chen, Kai Zhang, Yang Che, and Yihua Huang. Liquid: Intelligent Resource Estimation and Network-Efficient Scheduling for Deep Learning Jobs on Distributed GPU Clusters. Accpted by (IEEE TPDS, CCF-A), to appear.

6.Rong Gu, Jun Shi, Xiaofei Chen, Zhaokang Wang, Yang Che, Kai Zhang, Yihua Huang. Octopus-DF: Unified DataFrame-based Cross-platform Data Analytic System. Accpted by (PARCO, CCF-B), to appear.

7.Guanghui Zhu, Feng Cheng, Defu Lian, Chunfeng Yuan, and Yihua Huang. NAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction. Proc. of the ACM 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022, CCF A), accepted, 2022.

8.Jingfan Chen, Guanghui Zhu, Haojun Hou, Chunfeng Yuan, and Yihua Huang. AutoGSR: Neural Architecture Search for Graph-based Session Recommendation. Proc. of the ACM 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022, CCF A), accepted, 2022.

9.Guanghui Zhu, Wenjie Wang, Zhuoer Xu, Feng Cheng, Mengchuan Qiu, Chunfeng Yuan, and Yihua Huang. PSP: Progressive Space Pruning for Efficient Graph Neural Architecture Search. Proc. of the IEEE 38th International Conference on Data Engineering (ICDE 2022, CCF A), accepted, 2022.

10.Chengcheng Mai, Mengchuan Qiu, Kaiwen Luo, Ziyan Peng, Jian Liu, Chunfeng Yuan, Yihua Huang. Pretraining Multi-modal Representations for Chinese NER Task with Cross-Modality Attention. Proceedings of the Fifteenth ACM International

Conference on Web Search and Data Mining (WSDM, CCF-B), pp. 726�734, 2022.

11.Rong Gu, Zhiqiang Zuo, Xi Jiang, Han Yin, Zhaokang Wang, Linzhang Wang, Xuandong Li, and Yihua Huang. Towards Efficient Large-scale Interprocedural Program Static Analysis on Distributed Data-Parallel Computation. IEEE Transactions on Parallel and Distributed

Systems (IEEE TPDS, CCF-A). Vol.32(4), 2021, pp. 867-883.

12.Zhaokang Wang, Weiwei Hu, Guowang Chen, Chunfeng Yuan, Rong Gu, Yihua Huang. Towards Efficient Distributed SubgraphEnumeration via Backtracking-based Framework. IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS, CCF-A). Vol.32(12), 2021, pp. 2953-2969.

13.Rong Gu, Yang Qi, Tongyu Wu, Zhaokang Wang, Xiaolong Xu, Chunfeng Yuan, Yihua Huang. SparkDQ: Efficient Generic Big Data Quality Management on Distributed Data-Parallel Computation. Journal of Parallel and Distributed Computing (JPDC, CCF-B).Vol.156(1),2021,pp.132-147. Rong Gu, Zhixiang Zhang, Zhihao Xu, Zhaokang Wang, Kai Zhang, Chunfeng Yuan, Yihua

Huang. Alchemy: Distributed Financial Quantitative Analysis System with High-level Programming Model.

Software: Practice and Experience (SPE, CCF-B). Vol.51(8), 2021, pp. 1676-1699.

14.Rong Gu, Chongjie Li, Haipeng Dai, Yili Luo, Xiaolong Xu, Shaohua Wan, Yihua Huang. Improving In-Memory File System Reading

Performance by Fine-Grained User-Space Cache Mechanisms. Journal of Systems Architecture (JSA, CCF-B). Vol.115(1), 2021, pp. 1-15.

15.    Zhaokang Wang, Shen Wang, Junhong Li, Chunfeng Yuan, Rong Gu and Yihua Huang. Distributed Local Structural Vertex Similarity Calculation on Big Graphs. Journal of Parallel and Distributed Computing (JPDC, CCF-B). Vol.158(1), 2021, pp. 29-46.

16.    Zhaokang Wang, Yunpan Wang, Chunfeng Yuan, Rong Gu, Yihua Huang. Empirical Analysis of Performance Bottlenecks in Graph Neural Network Training and Inference with GPUs. NeuroComputing (CCF-C). Vol.446(1), 2021, pp. 165-191.

17.    Zhuoer Xu, Guanghui Zhu, Chunfeng Yuan, and Yihua Huang. One-Stage Tree: End-to-End Tree Builder and Pruner.

Machine Learning Journal (MLJ, CCF B), pp.1-27, 2021.

18.    Zhaokang Wang, Junhong Li, Yifan Qi, Guanghui Zhu, Chunfeng Yuan, and Yihua Huang. UniGPS: A Unified Programming Framework for Distributed Graph Processing. Proc. of the 27th International Conference on Parallel and Distributed Systems (ICPADS, CCF C), accepted, 2021.

19.    Guanghui Zhu, Feng Cheng, Mengchuan Qiu, Zhuoer Xu, Wenjie Wang, Chunfeng Yuan, and Yihua Huang. Progressive AutoSpeech: An Efficient and General Framework for Automatic Speech Classification. Proc. of the 25th Pacific-Asia Conference

on Knowledge Discovery andData Mining (PAKDD, CCF C), pp. 168-180, India, 2021.

20.    Chengcheng Mai, Xueming Qiu, Kaiwen Luo, Min Chen, Bo Zhao, Yihua Huang. TSSE-DMM: Topic Modeling for Short Texts

Based on Topic Subdivision and Semantic Enhancement. Proceedings of the 24th Pacific-Asia Conference on

Knowledge Discovery and Data Mining (PAKDD, CCF-C), pp. 640�651, India, 2021.

21.    麦丞程、陈玉婷、仇学明、刘健、赵博、袁春风、黄宜华. 公共服务热线中基于地域自适应的突发事件实时检测方法. 《计算机学报》 (CCF A)，2020，Vol. 43 (12) : 2259-2275.

22.    Guanghui Zhu and Ruancheng Zhu. Accelerating Hyperparameter Optimization of Deep Neural Network via Progressive Multi-Fidelity Evaluation. Proc. of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD, CCF C), pp. 752-763, Singapore, 2020.

23.    Zhaokang Wang, Rong Gu, Weiwei Hu, Chunfeng Yuan, Yihua Huang. BENU: Distributed Subgraph Enumeration With Backtracking-based Framework. Proc. of the IEEE International Conference on Data Engineering (ICDE 2019), 136-147, 2019, DOI 10.1109/ICDE.2019.00021.

24.    Guanghui Zhu， Xiaoqi Wu，Chunfeng Yuan， Yihua Huang. HyMJ: A Hybrid Structure-Aware Approach to Distributed Multi-Way Join Query. IEEE International Conference on Data Engineering (ICDE 2019)，short paper

25.    Guanghui Zhu, Qian Wang, Qiwei Tang, Rong Gu, Chunfeng Yuan and Yihua Huang. Efficient and Scalable Functional Dependency Discovery on Distributed Data-Parallel Platforms. IEEE Transactions on Parallel and Distributed Systems (TPDS'2019). 30(2): 2663-2676 (2019)   DOI: 10.1109/TPDS.2019.292501414.

26.    Rong Gu, Yufa Zhou, Zhaokang Wang, Chunfeng Yuan, and Yihua Huang. Penguin: Efficient Query-based Framework for Replaying Large Scale Historical Data. IEEE Transactions on Parallel and Distributed Systems (TPDS'18).2018, DOI: 10.1109/TPDS.2018.2829759

27.    Rong Gu, Yun Tang, Chen Tian, Hucheng Zhou, Guanru Li, Xudong Zheng, and Yihua Huang. Improving Execution Concurrency of Large-Scale Matrix Multiplication on Distributed Data-Parallel Platforms. IEEE Transactions on Parallel and Distributed Systems

(TPDS'17). Vol.28(9), 2017, pp. 2539-2552.

28.    Guanghui Zhu, QiuHu,Rong Gu, Chunfeng Yuan, and Yihua Huang. ForestLayer: Efficient training of deep forests on distributed task-parallel platforms. Journal of Parallel and Distributed Computing (JPDC'2019) . Vol(132):113-126.

29.    Guanghui Zhu, Chen Guo, Le Lu, Zhi Huang, Chunfeng Yuan, Rong Gu* and Yihua Huang*. DGST: Efficient and Scalable Suffix Tree Construction on Distributed Data-Parallel Platforms. Parallel Computing (PC'2019), Vol(87):87-102.

30.    Rong Gu, Shiqing Fan, Qiu Hu, Chunfeng Yuan and Yihua Huang. Parallelizing Machine Learning Optimization Algorithms on Distributed Data-Parallel Platforms with Parameter Server. Proc. of the 24th International Conference on Parallel

and Distributed Systems (ICPADS 2018), pp. 126-133, Sentosa, Singapore, Dec.11 - 13, 2018.

31.   Rong Gu, Chongjie Li, Peng Shu, Chunfeng Yuan, Yihua Huang. Adaptive Cache Policy Scheduling for Big Data Applications on Distributed Tiered Storage System. Concurrency and Computation: Practice and Experience. 31(15):1-25 (2019) DOI:10.1002/cpe.5138 .

32.    Rong Gu, Min Chen, Wenjia Yang, Chunfeng Yuan and Yihua Huang. Seal: Efficient Training Large Scale Statistical Machine Translation Models on Spark. Proc. of the 24th International Conference on Parallel and Distributed Systems (IEEE ICPADS 2018), pp. 118-125, Sentosa, Singapore, Dec.11 - 13, 2018.

33.Rong Gu, Kaixuan Huang, Zhixiang Zhang, Chunfeng Yuan and Yihua Huang. Push-based Network-efficient Hadoop YARN Scheduling

Mechanism for In-memory Computing. Proc. of the 25th International Conference on

Parallel and Distributed Systems (IEEE ICPADS 2019),133-140, 2019. DOI 10.1109/ICPADS.2019.00026

34.Guanghui Zhu, Xiaoqi Wu, RongGu, Chunfeng Yuan, Yihua Huang. AutoMJ: Towards Efficient Multi-way Join Query on Distributed Data-Parallel Platform. in Proceedings of the 23rd International Conference on Parallel and Distributed Systems (ICPADS 2017), pp. 161-169, Shenzhen, China, 15-17 Dec., 2017.

35.Wei Ge， Xianxian Li，Chunfeng Yuan， Yihua Huang. Correlation-aware partitioning for skewed range query

optimization. World Wide Web(WWW'18), 2018, pp 1-27.

36.Bo Zhao, Hucheng Zhou, Guoqiang Li, and Yihua Huang . ZenLDA: Large-Scale Topic Model Training on Distributed Data-Parallel Platform. Big Data Mining and Analytics, March 2018, 1(1): 57-74

37.    Peng Shu, RongGu, Qianhao Dong, Chunfeng Yuan, Yihua Huang. Accelerating Big Data Applications on Tiered Storage System with Various Eviction Policies. Proc. of the IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE ISPA 2016), pp. 1350 - 1357, Tianjin, China, 23-26 August, 2016.

38.    Stock Market Prediction Exploiting Microblog Sentiment Analysis. Bo Zhao, Yongji He, Chunfeng Yuan and Yihua Huang. International Joint Conference on Neural Networks (IJCNN 2016), 24-29 July, p4482-4488, Vancouver, Canada.

39.    PTR: Phrase-Based Topical Ranking for Automatic Keyphrase Extraction in Scientific Publications. Minmei Wang，Bo Zhao，Chunfeng Yuan， Yihua Huang. International Conference on Neural Information Processing(ICONIP2016)，2016.10.16-21. Tokyo, Japan

40.    Goldfish：基于矩阵分解的大规模RDF数据存储与查询系统. 顾荣, 仇红剑, 杨文家, 胡伟, 袁春风, 黄宜华. 《计算机学报》， 2017年10期，p2212-2230

41.    SCoS:基于Spark的并行谱聚类算法设计与实现. 朱光辉，黄圣彬，袁春风，黄宜华. 《计算机学报》，2017第6期

42.    Rong Gu, Shanyong Wang, FangFang Wang, Chufeng Yuan, Yihua Huang. Cichlid: Efficient Large Scale RDFS/OWL Reasoning with Spark. 2015 IEEE International Parallel & Distributed Processing Symposium (IPDPS 2015), India, May 25-29, 2015

43.    Rong Gu, Xiaoliang Yang, Jinshuang Yan, Yuanhao Sun, Bing Wang, Chunfeng Yuan, and Yihua Huang. SHadoop: Improving MapReduce Performance By Optimizing Job Execution Mechanism in Hadoop Clusters. Journal of Parallel and Distributed Computing(JPDC'14). Vol.74(3), 2014, pp. 2166-2179.

44.    Rong Gu, Wei Hu, Yihua Huang. Rainbow: A Distributed and Hierarchical RDF Triple Store with Dynamic Scalability. Proc. of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), p 561-566, Oct. 27-30, 2014. Washington, USA.

45.Shengsheng Shi, Chengfei Liu, Chunfeng Yuan, Yihua Huang. Multi-Feature and DAG-Based Multi-Tree Matching Algorithm for Automatic Web Data Mining. The 2014 Web Intelligence Congress(WI 2014), Aug. 11-14, 2014. Warsaw, Poland.

46.    Hongjian Qiu, Rong Gu, Chunfeng Yuan and Yihua Huang. YAFIM: A Parallel Frequent Itemset Mining Algorithm with Spark. The 3rd International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics(ParLearning 2014), conjunction with IPDPS 2014, May 23, 2014. Phoenix, USA

47.    Lei Jin, Rong Gu, Chunfeng Yuan and Yihua Huang. Large Scale Deep Learning On Xeon Phi Many-core Coprocessor. The 3rd International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics(ParLearning 2014), conjunction with IPDPS 2014, May 23, 2014. Phoenix, USA

48.    Ge, Wei; Huang, Yihua; Zhao, Di; Luo, Shengmei; Yuan, Chunfeng; Zhou, Wenhui; Tang, Yun; Zhou, Juan. CinHBa: A secondary index with hotscore caching policy on key-value data store. Lecture Notes in Computer Science

(including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 8933, p 602-615, 2014.

49.    顾荣, 王芳芳, 袁春风, 黄宜华. YARM:基于MapReduce的高效可扩展的语义推理引擎. 《计算机学报》，01期，pp 74-85，2014/8.

50.    顾荣，严金双, 杨晓亮, 袁春风, 黄宜华. Hadoop MapReduce短作业执行性能优化. 《计算机研究与发展》，2014，Vol. 51 (6): 1270-1280.

51.    赵博, 黄书剑, 戴新宇, 袁春风, 黄宜华. 基于分布内存数据库的并行化层次短语机器翻译算法.《计算机研究与发展》，2014，Vol. 51 (12): 2724-2732.

52.    Rong Gu, Furao Shen, and Yihua Huang. A Parallel Computing Platform for Training Large Scale Neural Networks. Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2013), pp. 376 - 384, Santa Clara, CA, USA, Oct. 6-9, 2013.

53.    Shengsheng Shi, Wu Wei, Yulong Liu, Haitao Wang, Lei Luo, Chunfeng Yuan, and Yihua Huang. NEXIR: A Novel Web Extraction Rule Language toward a Three-Stage Web Data Extraction Model. The 14th International Conference on Web Information System Engineering (WISE2013), Nanjing, China, 13-15 Oct. 2013. WISE 2013, Part I, “Lecture Notes in Computer Science” Proceedings 8180, p29-42, Springer-Verlag Berlin Heidelberg, 2013.

54.    Wu Wei, Shengsheng Shi, Yulong Liu, Haitao Wang, Chunfeng Yuan and Yihua Huang. Extraction Rule Language for Web Information Extraction and Integration. The 10th Web Information System and Application Conference(ISA2013), p65-70, Nov. 1-3, Yangzhou, China, 2013.

55.    Shengsheng Shi, FuliangQuan,Tao Xie,Chunfeng Yuan and Yihua Huang. Layered and Weighted Tree Matching Algorithm for Automatic Web Data Records Recognition, The 10th Web Information System and Application Conference(WISA 2013)，p55-60, Nov. 1-3, Yangzhou, China, 2013.

56.    Yi Shen, Shengsheng Shi, Haitao Wang, Wu Wei, Chunfeng Yuan, and Yihua Huang. Parallel Approach and Platform for Large-scale Web Data Extraction. 2013 The First International Conference on Advanced Cloud and Big Data(CBD 2013), Nanjing, Dec. 13-15, 2013.

57.    Wenhui Zhou, Chunfeng Yuan, Rong Gu, Yihua Huang. Large Scale Nearest Neighbors Search Based on Neighborhood Graph. 2013 The First International Conference on Advanced Cloud and Big Data(CBD 2013), Nanjing, Dec. 13-15, 2013.

58.    Jinshuang Yan, Xiaoliang Yang, Rong Gu, Chunfeng Yuan, and Yihua Huang. Performance Optimization for Short MapReduce Job Execution in Hadoop. Proceedings of 2nd International Conference on Cloud and Green Computing and 2nd International Conference on Social Computing and Its Applications(CGC/SCA 2012), p 688-694, 2012

59.    Tao Xie, Shengsheng Shi, Fuliang Quan, Chunfeng Yuan, and Yihua Huang. Research on Complex Structure-Oriented   Accurate Web

Information Extraction Rules. Proceedings of the 2010 IEEE International Conference on Progress in Informatics and Computing(PIC 2010), p 312-316, 2010

60.    Xiaoliang Yang, Chunfeng Yuan, Yihua Huang. Parallization of BLAST with MapReduce for long sequence alignment. Proceedings - The 4th International Symposium on Parallel Architectures, Algorithms and Programming(PAAP 2011), p 241-246, 2011

61.    Tao Xiao, Shuai Wang, Chunfeng Yuan, Yihua Huang. PSON: A Parallelized SON Algorithm with MapReduce for Mining Frequent Sets. The 4th International Symposium on Parallel Architectures, Algorithms and Programming(PAAP 2011), p 252-257, 2011

62.    Yongzhuang Wei, Shuai Wang, Chunfeng Yuan, and Yihua Huang. Parallelized Near-Duplicate Document Detection

Algorithm for Large Scale Chinese Web Pages. Proceedings of the 13th International Conference on Parallel and Distributed Computing, Applications and Technologies(PDCAT 2012), p 523-529, 2012.

63.    Jian Zhang, Chunfeng Yuan, and Yihua Huang. Parallelized Similarity Flooding Algorithm for Processing Large Scale Graph Datasets with MapReduce. Proceedings of the 13th International Conference on Parallel and Distributed Computing, Applications and Technologies(PDCAT 2012), p 184-188, 2012.

64.    Yulong Liu, Shengsheng Shi, Chunfeng Yuan and Yihua Huang, Automated Text Data Extraction based on Unsupervised Small Sample Learning. The 7th Intellegent System and Knowledge Engineering (ISKE 2012), Dec. 15-17, 2012, Beijing. Chapter in book

“Foundations and Applications of Intelligent Systems”, Advances in Intelligent Systems and Computing 213, p133-150, Springer-Verlag Berlin Heidelberg, 2013.

65.    Chunfeng Yuan, Yihua Huang, Zhesheng Zhang, Guihai Chen, Wanchun Dou. Improvements on Teaching Methods and Contents for the “Computer Organization and Architecture” Curriculum. Proceedings of International Conference on Scalable Computing and Communications - The 8th International Conference on Embedded Computing, ScalCom-EmbeddedCom 2009, p 560-565, 2009

66.    Jin Yu, Jianxin Yu, Yihua Huang. Design and Implementation of Embedded Networked Intelligent Chinese Checkers Game Software. International Conference on Automatic Control and Artificial Intelligence (ACAI2012), March 24-26,2012, Xiamen, China

67.    Yihua Huang, Tianyun Ni, Lei Zhou and Stanley Su. JXP4BIGI: a generalized, Java XML-based approach for biological information

gathering and integration. Bioinformatics. Vol. 19 no. 18. 2003.

68.    Stanley Su, Chunbo Huang, Joachim Hammer, Yihua Huang, Haifei Li, Liu Wang, Youzhong Liu, Charnyote P., Minsso Lee, Herman Lam. An Internet-Based Negotiation Server for E-Commerce. The VLDB (Very Large Data Bases) Journal, Special Issue on E-Services. Vol. 10, 2001.

荣誉奖励

2020年研究生团队荣获 KDD Cup AutoML国际大赛第二名

2019年研究生团队荣获第五届中国互联网+大学生创新创业大赛国赛金奖

2019年研究生团队荣获 NeurIPS AutoSpeech 国际大赛第一名

2019年研究生团队荣获 NeurIPS AutoDL 国际大赛第三名

2019年研究生团队荣获 KDD Cup AutoML 国际大赛TOP10优胜奖

2019年研究生团队荣获 ACML AutoSpeech 国际大赛第一名

2019年研究生团队荣获 ACML AutoWSL 国际大赛第四名

2019年研究生团队荣获 WAIC AutoNLP 国际大赛第七名

2018年研究生团队荣获 NeurIPS AutoML 国际大赛第三名

2020年研究生团队荣获 2018 PAKDD AutoML国际大赛第三名

2016年研究生团队荣获SortBenchmark国际排序大赛CloudSort国际冠军

2016年研究生团队荣获教育部第二届全国高校云计算应用创新大赛大数据技能赛冠军

2015年研究生团队荣获教育部第一届全国高校云计算应用创新大赛大数据技能赛冠军

2012年Google奖教金

2012年课程研究生组队参赛第一届“中国云/移动互联网创新大奖赛”，获得9项奖

2000年江苏省科技进步二等奖

1993年江苏省科技进步二等奖

1997年第三届中国PC应用软件设计大赛优胜奖

1997/1996/1995年南京大学优秀青年教师

1995年 江苏省八五先进科技工作者

1995年国家教委教材二等奖，南京大学优秀教材一等奖

1992年江苏省优秀软件一等奖

1991年南京大学科技开发特别贡献奖

其他成果

本人是国内高校中最早从事系统化大数据技术研究教学的学者之一，早在大数据还鲜为关注的2009年即已进入大数据技术领域，在大数据存储与计算、大数据机器学习、大数据智能化分析应用等方面开展了一系列的研究开发工作。主持国家级和省部级科研项目多项，并开展了与Google、Intel、微软亚   洲研究院、百度、华为、中兴通讯、奇虎360、今日头条、华泰证券、苏宁云商等国内外知名企业与研究机构、以及与Spark、Alluxio等国际著名大数据开源社区的诸多合作研究。在国内外期刊和会议上发表大数据研究论文60多篇， 出版大数据技术书籍2部。

社会职务: 中国计算机学会大数据专家委员会副主任、江苏省计算机学会大数据专家委员会主任、江苏省数字经济学会副理事长、云计算专家委员会副主任、江北新区研创园侨联主席

个人主页：https://cs.nju.edu.cn/yhuang/index.htm