书籍

教材：《深入理解大数据--大数据并行处理与编程实践》，黄宜华 主编，机械工业出版社，2014.7，488页。
教育部计算机专业教学指导委员会列为"计算机类专业系统能力培养系列教材"
出版社图书介绍网址：http://www.hzbook.com/Books/7874.html

技术教材：《Alluxio：大数据统一存储原理与实践 》主编：范斌、顾荣.电子工业出版社. 出版时间：2019年8月. 字数：242千字
ISBN: 978-7-121-36782-3.


获奖

2020年研究生团队荣获KDD Cup AutoML Track: AutoGraph大赛，国际第2名
2020年研究生团队荣获NeurIPS AutoDL大赛，国际第3名
2020年研究生团队荣获InterSpeech AutoSpeech2大赛，国际第2名
2019年研究生团队荣获中国第五届“互联网+”大学生创新创业大赛国赛金奖
2019年度KDD Cup AutoML for Temporal Relational Data，获得Top10优胜奖（参赛队伍860）
2019年研究生团队荣获NeurIPS AutoML for Lifelong Learning大赛，国际第3名
2019年研究生团队荣获ACML AutoSpeech大赛，国际第1名
2019年研究生团队荣获ACML AutoWSL大赛，国际第4名
2019年研究生团队荣获WAIC（世界人工智能大会）AutoNLP大赛，国际第7名
2018年研究生团队荣获PAKDD2018主办的自动化机器学习国际挑战赛AutoML Challenge 2018国际第三名
2018-05-10 李崇杰、顾荣获得Alluxio开源社区2018 Q1贡献奖
2018年研究生团队荣获教育部第四届全国高校云计算应用创新大赛大数据技能赛冠军
2017年研究生团队荣获教育部第三届全国高校云计算应用创新大赛大数据技能赛冠军
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
2016年研究生团队荣获有“计算界奥林匹克”之称的SortBenchmark国际排序大赛CloudSort赛道国际冠军
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


论文

年份： [ 2023]   [ 2022]  [ 2021]  [ 2020]  [ 2019]  [ 2018]  [ 2017]  [ 2016]  [ 2015]  [ 2014]  [2013]  [ 2012]  [ 2011]  [ 2010]  [ 2009] [ 2008]

2023 Top

  • Guanghui Zhu, Zhennan Zhu, Wenjie Wang, Zhuoer Xu, Chunfeng Yuan, and Yihua Huang. AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network. Proc. of the IEEE 39th International Conference on Data Engineering (ICDE 2023, CCF A), accepted, 2023.
  • Rong Gu, Xiaofei Chen, Haipeng Dai, Shulin Wang, Zhaokang Wang, Yaofeng Tu, Yihua Huang, Guihai Chen. Time and Cost-Efficient Cloud Data Transmission based on Serverless Computing Compression. IEEE International Conference on Computer Communications (IEEE INFOCOM, CCF-A). 2023, to appear.
  • Chengcheng Mai, Kaiwen Luo, Yuxiang Wang, Ziyan Peng, Yu Chen, Chunfeng Yuan, Yihua Huang. Nested Relation Extraction via Self-contrastive Learning Guided by Structure and Semantic Similarity. Neural Networks (CCF B, Journal, SCI). Vol. 162, pp. 393-411, 2023.
  • Tongyu Wu, Rong Gu*, Yang Li, Hongbin Ma, Yi Chen, Ying Zhu, Xiaoxiang Yu, Tengting Xu, Yihua Huang. Raven: Benchmarking Monetary Expense and Query Efficiency of OLAP Engines on the Cloud. the 28th International Conference on Database Systems for Advanced Applications (DASFAA, CCF-B). 2023, to appear.
  • Rong Gu, Yi Zhang, Liangliang Yin, Lingyi Song, Wenjie Huang, Chunfeng Yuan, Zhaokang Wang, Guanghui Zhu*, Yihua Huang*. Coral: Federated Query Join Order Optimization based on Deep Reinforcement Learning. World Wide Web Journal (WWWJ, CCF-B). accepted, 2023.
  • 朱光辉，陈文忠，朱振南，袁春风，黄宜华. 基于自引导进化策略的高效自动化数据增强算法研究. 软件学报，已录用，2023.

    • 2022 Top

  • Zhuoer Xu, Guanghui Zhu*, Changhua Meng, Shiwen cui, Zhenzhe Ying, Weiqiang Wang, Ming GU, and Yihua Huang. A2: Efficient Automated Attacker for Boosting Adversarial Training . Proc. of the Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022, CCF-A类), accepted (Spotlight Paper), 2022
  • Rong Gu, Xu Huang, Haipeng Dai*, Xiaoyu Geng, Xiaofei Chen, Yihua Huang*, Fu Xiao and Guihai Chen. Efficient, Scalable and Robust Data Shuffle Service for Distributed MapReduce Computing on Cloud. Proc. of the 24th IEEE International Conference on High Performance Computing and Communications (HPCC-2022，CCF C类，最佳论文奖）. Accepted, 2022.
  • Rong Gu, Han Yin, Weichang Zhong, Chunfeng Yuan, Yihua Huang. Meces: Latency-efficient Rescaling via Prioritized State Migration for Stateful Distributed Stream Processing Systems. USENIX Annual Technical Conference (USENIX ATC 2022, CCF-A), pp. 539-556, July. 2022.
  • 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, CCF-A), to appear.
  • Li Meng, Deyi Chen, Haipeng Dai, Rongbiao Xie, Siqiang Luo, Rong Gu, Tong Yang and Guihai Chen. Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering. Accpted by (WWW, CCF-A), to appear.
  • 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.
  • 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.
  • Haipeng Dai, Xiaoyu Wang, Xuzhen Lin, Rong Gu, Yunhuai Liu, Wanchun Dou, Guihai Chen. Placing Wireless Chargers with Limited Mobility. Accpted by (IEEE TMC, CCF-A), to appear.
  • Hancheng Wang, Haipeng Dai, Meng Li, Jun Yu, Rong Gu, Jiaqi Zheng, Guihai Chen. Bamboo Filters: Make Resizing Smooth. Accpted by (IEEE ICDE, CCF-A), to appear.
  • 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.
  • 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.
  • 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.
  • Jingfan Chen, Wenqi Fan, Guanghui Zhu*, Xiangyu Zhao, Chunfeng Yuan, Qing Li, and Yihua Huang. Knowledge-enhanced Black-box Attacks for Recommendations. Proc. of the 28rd SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2022,CCF A类会议), pp.108-117, 2022.
  • Jingfan Chen, Guanghui Zhu*, Yifan Qi, Chunfeng Yuan, and Yihua Huang. Towards Self-supervised Learning on Graphs with Heterophily. Proc. of the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022,CCF B类), pp201-211, 2022.
  • 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), 2022, 726–734.
  • Chengcheng Mai, Jian Liu, Mengchuan Qiu, Kaiwen Luo, Ziyan Peng, Chunfeng Yuan, Yihua Huang. Pronounce differently, mean differently: A multi-tagging-scheme learning method for Chinese NER integrated with lexicon and phonetic features, Information Processing and Management, Vol 59(5), 103041(CCF-B类), 2022.
  • Guanghui Zhu, Shen Jiang, Xu Guo, Chunfeng Yuan, and Yihua Huang. Evolutionary Automated Feature Engineering. Proc. of the 19th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2022, CCF C类), pp. 574–586, 2022
  • Guanghui Zhu, Zhuoer Xu, Chunfeng Yuan, and Yihua Huang. DIFER: Differentiable Automated Feature Engineering. Proc. of the 1st International Conference on Automated Machine Learning (AutoML-Conf 2022), pp. 17/1-17, 2022.

    • 2021 Top

  • 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.
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  • 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.
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  • Rongbiao Xie, Meng Li, Zheyu Miao, Rong Gu, He Huang, Haipeng Dai and Guihai Chen. Hash Adaptive Bloom Filter. 37th IEEE International Conference on Data Engineering (IEEE ICDE, CCF-A). pp. 636-647, April. 2021.
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  • 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.
  • 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.
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  • 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.
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  • 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.
  • 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.
  • 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.
  • 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.

    • 2020 Top

  • 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.
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  • 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.
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    2019 Top

  • 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, CCF A), 136-147, 2019, DOI 10.1109/ICDE.2019.00021.
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  • 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, CCF A). 30(2): 2663-2676 (2019) DOI: 10.1109/TPDS.2019.292501414.
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  • 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, CCF B) . Vol(132):113-126.
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  • 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 (PARCO, CCF B), Vol(87):87-102.
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  • Rong Gu, Kaixuan Huang, Zhixiang Zhang, Chunfeng Yuan and Yihua Huang.Push-based Network-efficient Hadoop YARN Scheduling Mechanism for In-memory Computing. International Conference on Parallel and Distributed Systems （ICPADS, CCF C）， Tianjin, China, December 4-6, 2019
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  • Zhiqiang Zuo, Rong Gu, Xi Jiang, Zhaokang Wang, Yihua Huang, Linzhang Wang, and Xuandong Li.BigSpa: An Efficient Interprocedural Static Analysis Engine in the Cloud.IEEE 29th International Parallel & Distributed Processing Symposium (IPDPS, CCF B). 2019/05/20， 巴西，p771-780
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  • 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.第七届CCF大数据学术会议, 最佳应用论文奖，2019/9/26, 武汉
    •
  • 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, CCF A)，short paper.
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  • 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 (CCF C). 31(15):1-25 (2019) DOI:10.1002/cpe.5138 .

    • 2018 Top

  • 朱光辉，黄圣彬，袁春风，黄宜华. SCoS:基于Spark的并行谱聚类算法设计与实现. 《计算机学报》(CCF A)，2018,Vol. 41 (4): 868-885.
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  • RongGu, 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, CCF A).2018, DOI: 10.1109/TPDS.2018.2829759
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  • Wei Ge， Xianxian Li，Chunfeng Yuan，Yihua Huang. Correlation-aware partitioning for skewed range query optimization. World Wide Web Journal (CCF B), 2018, pp 1-27.
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  • 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
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    2017 Top

  • RongGu, 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, CCF A). Vol.28(9), 2017, pp. 2539-2552.
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  • Guanghui Zhu, Xiaoqi Wu, RongGu, Chunfeng Yuan, Yihua Huang. AutoMJ: Towards Efficient Multi-way Join Query on Distributed Data-Parallel Platform. 23rd International Conference on Parallel and Distributed Systems (ICPADS, CCF C), pp. 161-169, Shenzhen, China, 15-17 Dec., 2017.
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  • 顾荣, 仇红剑, 杨文家, 胡伟, 袁春风, 黄宜华. Goldfish：基于矩阵分解的大规模RDF数据存储与查询系统.《计算机学报》(CCF A)， 2017年10期，p2212-2230
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    2016 Top

  • Bo Zhao, Yongji He, Chunfeng Yuan and Yihua Huang. Stock Market Prediction Exploiting Microblog Sentiment Analysis.International Joint Conference on Neural Networks (IJCNN, CCF C) 2016, 24-29 July, Vancouver, Canada.
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  • Peng Shu, RongGu, Qianhao Dong, Chunfeng Yuan, Yihua Huang. Accelerating Big Data Applications on Tiered Storage System with Various Eviction PoliciesIEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA, CCF C), pp. 1350 - 1357, Tianjin, China, 23-26 August, 2016.
    •
  • Minmei Wang，Bo Zhao，Chunfeng Yuan， Yihua Huang. PTR: Phrase-Based Topical Ranking for Automatic Keyphrase Extraction in Scientific Publications. International Conference on Neural Information Processing(ICONIP, CCF C)，2016.10.16-21. Tokyo, Japan
    •

    2015 Top

  • Shi Shengsheng, Liu Chengfei, Huang Yihua. AutoRM: An effective approach for automatic Web data record mining. Knowledge-Based Systems (KBS, CCF C). Vol 89, p 314-331, Nov. 2015.
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  • Gu Rong, Jin Lei, Huang Yihua. Parallel Training GBRT Based on KMeans Histogram Approximation for Big Data. ICA3PP 2015 (ICA3PP, CCF C), Nov 20-23, 2015. Zhangjiajie, China
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  • Zhaokang Wang, Shiqing Fan, Rong Gu, Chunfeng Yuan, and Yihua Huang. iPLAR: Towards Interactive Programming with Parallel Linear Algebra in R. ICA3PP 2015 (ICA3PP, CCF C), Nov 20-23, 2015. Zhangjiajie, China
    •
  • Gu Rong,Tang Yun, Huang Yihua.Unified Programming Model and Software Framework for Big Data Machine Learning and Data Analytics.. International Computer Software and Applications Conference (COMPSAC, CCF C), DSC Workshop, July 27-30, 2015. Taiwan
    •
  • Rong Gu, Yun Tang, Zhaokang Wang, Shuai Wang, Xusen Yiny, Chunfeng Yuan and Yihua Huang.Efficient Large Scale Distributed Matrix Computation with Spark. IEEE BigData 2015 (BigData, CCF C), MBD-SONET Workshop. Oct.27-30, 2015. Santa Clara, USA
    •
  • 黄宜华.大数据机器学习系统研究进展. 《大数据》.2015, 01期创刊号:28-47
    •
  • 高兴坤, 顾荣, 袁春风, 黄宜华. 基于Spark的大规模矩阵并行化分解与求逆. 第三届CCF大数据学术会议. 合肥, 2015.10.20.
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  • 张海鹏, 顾荣, 袁春风, 黄宜华. 基于Flink的大规模矩阵计算库的设计与实现. 第三届CCF大数据学术会议. 合肥, 2015.10.20.
    •
  • Rong Gu, Shanyong Wang, FangFang Wang, Chufeng Yuan, Yihua Huang. Cichlid: Efficient Large Scale RDFS/OWL Reasoning with Spark. Accepted by 2015 IEEE International Parallel & Distributed Processing Symposium (IPADPS, CCF C), India, May 25-29, 2015.

    • 2014  Top

  • 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, CCF B). Vol.74(3), 2014, pp. 2166-2179.
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  • Rong Gu, Wei Hu, Yihua Huang. Rainbow: A Distributed and Hierarchical RDF Triple Store with Dynamic Scalability. IEEE International Conference on Big Data (BigData, CCF C), Oct. 27-30, Washington, USA.
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  • 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, Warsaw, Poland.
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  • 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.
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  • 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, conjunction with IPDPS 2014, May 23, 2014. Phoenix, USA.
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  • 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, conjunction with IPDPS 2014, May 23, 2014. Phoenix, USA.
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  • 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, CCF B). Vol.74(3), 2014, pp. 2166-2179.
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  • 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》(CCF A),2014，Vol. 51 (6): 1270-1280.
  • 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》(CCF A),2014,Vol. 51 (12): 2724-2732.
  • Chuanlei Zheng and Shuai Wang. Characterizing Soft Error Vulnerability of Cache Coherence Protocols for Chip-Multiprocessors. To appear in Proc. of the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT 2014), Amsterdam, Netherlands, Oct. 1-3, 2014.
    •
  • Shuai Wang and Tao Jin. Wireless Network-on-Chip: A Survey. IET Journal of Engineering (IET JOE), April, 2014.
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  • Guangshan Duan and Shuai Wang. Exploiting Narrow-Width Values for Improving Non-Volatile Cache Lifetime. In Proc. of the Conference on Design, Automation and Test in Europe (DATE, CCF B), Dresden, Germany, March 24-28, 2014.
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  • Guangshan Duan and Shuai Wang. Exploiting Narrow-Width Values for Improving Non-Volatile Cache Lifetime. To appear in Proc. of the Conference on Design, Automation and Test in Europe (DATE, CCF B), Dresden, Germany, March 24-28, 2014.

    • 2013  Top

  • Rong Gu, Furao Shen, and Yihua Huang. A Parallel Computing Platform for Training Large Scale Neural Networks. Proceedings of 2013 IEEE International Conference on Big Data (BigData, CCF C). Oct. 6-9, 2013. Santa Clara, CA, USA.
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  • 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 (WISE, CCF C), Nanjing, China, 13-15 Oct. 2013. WISE 2013, Part I, “Lecture Notes in Computer Science” Proceedings 8180, p29-42, Springer-Verlag Berlin Heidelberg, 2013.
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  • 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, Nov. 1-3, Yangzhou, China, 2013.
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  • 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, Nov. 1-3, Yangzhou, China, 2013.
  • 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.
  • 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.
  • 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. 2013年第一届CCF大数据技术学术会议,12月7-8日，北京.
  • 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. 2013年第一届CCF大数据技术学术会议,12月7-8, 北京.
  • Tao Jin and Shuai Wang. 1-to-Many and Many-to-1 Communication in Hybrid Wireless Network-on-Chip. To appear in Proc. of the IEEE International Conference on Electronics, Circuits, and Systems (ICECS 2013), Abu Dhabi, UAE, December 8-11, 2013.
  • Shuai Wang, Guangshan Duan, Chuanlei Zheng, and Tao Jin. Combating NBTI-Induced Aging in Data Caches. In Proc. of the ACM Great Lakes Symposium on VLSI (GLSVLSI, CCF C), pp. 215 - 220, Paris, France, May 2-3, 2013.

    • 2012  Top

  •  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 (ACAI 2012), March 24-26,2012, Xiamen, China
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  • 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
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  • 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.
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  • 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 184-189, 2012.
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  • 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”, Springer-Verlag Berlin Heidelberg, 2013.
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  • 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 (ACAI 2012), March 24-26,2012, Xiamen, China
  • Shuai Wang, Jie Hu, and Sotirios G. Ziavras. Replicating Tag Entries for Reliability Enhancement in Cache Tag Arrays. IEEE Transactions on Very Large Scale Integration Systems ((TVLSI, CCF B)), Volume 20, Issue 4, pp. 643 - 654, April 2012.
  • Shuai Wang, Jie Hu, and Sotirios G. Ziavras. Exploring BTB Access Filtering for Low-Energy and High-Performance Microarchitectures. IET Computers & Digital Techniques (IET CDT), Volume 6, Issue 1, pp. 50 - 58, January 2012.
  • Chuanlei Zheng, Parijat Shukla, Shuai Wang, and Jie Hu. Exploring Hardware Transaction Processing for Reliable Computing in Chip-Multiprocessors against Soft Errors. In Proc. of the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT 2012), pp. 92 - 97, Austin, Texas, Oct. 3-5, 2012.
  • Tao Jin and Shuai Wang. Aging-Aware Instruction Cache Design by Duty Cycle Balancing. In Proc. of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI, CCF B), pp. 195 - 200, Amherst, MA, August 19-21, 2012.
  • Shuai Wang, Tao Jin, Chuanlei Zheng, and Guangshan Duan. Low Power Aging-Aware Register File Design by Duty Cycle Balancing. In Proc. of the Conference on Design, Automation and Test in Europe (DATE, CCF B), pp. 546 - 549, Dresden, Germany, March 12-16, 2012.

    • 2011  Top

  • Xiaoliang Yang, Chunfeng Yuan, Yihua Huang. Parallization of BLAST with MapReduce for long sequence alignment. Proceedings - 2011 4th International Symposium on Parallel Architectures, Algorithms and Programming, PAAP 2011, p 241-246, 2011.
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  • Tao Xiao, Shuai Wang, Chunfeng Yuan, Yihua Huang. PSON: A Parallelized SON Algorithm with MapReduce for Mining Frequent Sets. The Fourth International Symposium on Parallel Architectures, Algorithms and Programming, PAAP 2011, p 252-257, 2011
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  • Shuai Wang. Characterizing System-Level Vulnerability for Instruction Caches against Soft Errors. In Proc. of the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT 2011), pp. 356 - 363, Vancouver, Canada, October 3-5, 2011.
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  • Li Tang, Shuai Wang, Jie Hu, and Xiaobo Sharon Hu. Characterizing the L1 Data Cache's Vulnerability to Transient Errors in Chip-Multiprocessors. In Proc. of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI, CCF B), pp. 266 - 271, Chennai, India, July 4-6, 2011.
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    2010  Top

  • 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
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  • H. Wang, Y. Jin, P. L. Reddy, R. Podolsky, S. Liu, P. Yang, B. Bode, J. C. Reed, R. D. Steed, S. W. Anderson, L. Steed, D. Hopkins, Y. Huang & J. She, Genetically dependent ERBB3 expression modulates antigen presenting cell function and type 1 diabetes risk. PLoS ONE (SCI III区), 2010
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  • Shuai Wang, Jie Hu, and Sotirios G. Ziavras. TRB: Tag Replication Buffer for Enhancing the Reliability of the Cache Tag Array. In Proc. of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI, CCF B), pp. 310 - 315, Lixouri Kefalonia, Greece, July 5-7, 2010.
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    2009 Top

  • 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
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  • Jianxin Yu, Yihua Huang, The Curriculum in Embedded System for Undergraduates of Major on Computer. Proceedings of 2009 4th International Conference on Computer Science and Education, ICCSE 2009, p 1683-1688, 2009
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  • shuai Wang, Jie Hu, and Sotirios G. Ziavras. On the Characterization and Optimization of On-Chip Cache Reliability against Soft Errors. IEEE Transactions on Computers (TC, CCF A), Volume 58, Issue 9, pp. 1171 - 1184, September 2009.
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  • Jie Hu, Shuai Wang, and Sotirios G. Ziavras. On the Exploitation of Narrow-Width Values for Improving Register File Reliability. IEEE Transactions on Very Large Scale Integration Systems (TVLSI, CCF B), Volume 17, Issue 7, pp. 953 - 963. July 2009.
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  • Shuai Wang, Jie Hu, Sotirios G. Ziavras, and Sung Woo Chung. Exploiting Narrow-Width Values for Thermal-Aware Register File Designs. In Proc. of the Conference on Design, Automation and Test in Europe (DATE, CCF B), pp. 1422 - 1427, Nice, France, April 20-24, 2009.
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    2008 Top

  • Jie Hu, Johnsy K. John, and Shuai Wang. Thermal-Aware Subarrayed Data Cache Microarchitectures. International Journal of Intelligent Control and Systems (IJICS), Volume 13, No. 4, pp. 251 - 263, December 2008.
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  • Shuai Wang, Jie Hu, and Sotirios G. Ziavras. Self-Adaptive Data Caches for Soft-Error Reliability. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD, CCF A), Volume 27, Issue 8, pp. 1503 - 1507, August 2008.
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  • Shuai Wang, Hongyan Yang, Jie Hu, and Sotirios G. Ziavras. Asymmetrically Banked Value-Aware Register Files for Low Energy and High Performance. Microprocessors and Microsystems (MICPRO, CCF C), Volume 32, Issue 3, pp. 171 - 182, May 2008.
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  • Jie Hu, Shuai Wang, and Sotirios G. Ziavras. On the Exploitation of Narrow-Width Values for Improving Register File Reliability. IEEE Transactions on Very Large Scale Integration Systems (TVLSI, CCF B), Volume 17, Issue 7, pp. 953 - 963. July 2009.
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  • Shuai Wang, Jie Hu, and Sotirios G. Ziavras. BTB Access Filtering: A Low Energy and High Performance Design. In Proc. of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI, CCF B), pp. 81 - 86, Montpellier, France, April 7-9, 2008.
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