我们的研究成果

承担多项国家重大专项自然科学基金项目,发表多篇SCI/EI收录论文。

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在研项目

1. 基于统一数据模型的新型供电轨道交通系统全生命周期大数据实时处理技术研究。

2. 基于人机融合的群智认知理论与模型研究。

3. 多源异构轨迹大数据融合处理。

4. 空天车地信息一体化轨道交通运营与安全综合保障技术研究与应用示范。

5. 基于深度学习的数据库查询智能化技术。

6. 智能室内环境下复杂数据的管理和挖掘研究。

7. 基于大数据云平台的轨道交通装备远程运维服务新模式应用。

8. 面向特定领域的文本分析和知识图谱构建技术。

完成项目

1. 智能高速列车系统应用平台。

2. XML 数据频繁模式挖掘技术研究。

3. 高性能分布式垂直搜索引擎支撑平台的研发。

4. 路网下的连续聚合k最近邻查询及变体处理研究。

5. 信息物理融合的Web对象可视检索技术。

6. 基于多源信息的电动汽车数据挖掘关键技术研究。

7. 面向个性化搜索中的隐私保护关键技术研究。

8. 电动汽车专题数据库建设。

9. 移动对象的可视性数据管理及其在虚拟漫游中的应用。

10. 支持大型社交网络的云存储系统。

11. 群组查询引擎。

获得奖项

1. 海量混合时态数据融合处理关键技术及应用,获得教育部科学技术进步奖一等奖。

2. 互联网海量数据存储、管理与搜索平台研制及产业化应用,获得浙江省科学技术奖一等奖。

3. 跨行业的嵌入式系统软件平台SMART及其应用,获得全国科学技术进步奖二等奖。

近期发表论文

Ran Jin, Gang Chen, Anthony K. H. Tung, Lidan Shou, Beng Chin Ooi:An Optimized Iterative Semantic Compression Algorithm And Parallel Processing for Large Scale Data. TIIS 12(6): 2761-2781 (2018)

Rong Wang, Tianlei Hu, Gang Chen:Where Do Local Experts Go? Evaluating User Geo-Topical Similarity for Top-N Place Recommendation. J. Comput. Sci. Technol. 33(1): 190-206 (2018)

Huan Li ; Hua Lu ; Lidan Shou ; Gang Chen ; Ke Chen, In Search of Indoor Dense Regions: An Approach Using Indoor Positioning Data, Knowledge and Data Engineering, IEEE Transactions on, 2018

Huan Li, Feichao Shi, Hua Lu, Gang Chen, Ke Chen and Lidan Shou, TRIPS: a system for translating raw indoor positioning data into visual mobility semantics, VLDB 2018, 2018, 11(12), 1918-1921

毕里缘,伍赛,陈刚,寿黎但,陈珂,胡天磊, 基于循环神经网络的数据库查询开销预测, 软件学报, 2018, 29(3), 799-810

Zhifei Pang, Sai Wu, Gang Chen, Ke Chen, Lidan Shou:FlashView: An Interactive Visual Explorer for Raw Data. PVLDB 10(12): 1869-1872 (2017)

Xiaoling Gu, Sai Wu, Pai Peng, Lidan Shou, CSIR4G: An Effective and Efficient Cross-Scenario Image Retrieval Model for Glasses, Information Sciences, 2017, 417, 310-327

Sun L, Chen K, Song M, Robust, Efficient Depth Reconstruction With Hierarchical Confidence-Based Matching, IEEE Transactions on Image Processing, 2017, 26(7), 3331-3343

Xiaoling Gu, Yongkang Wong, Pai Peng, Lidan Shou, Gang Chen, Mohan S. Kankanhalli, Understanding Fashion Trends from Street Photos via Neighbor-Constrained Embedding Learning, ACM Multimedia 2017, 190-198

Xinyuan Luo, Sai Wu, Wei Wang, Lidan Shou:Tuning the granularity of parallelism for distributed graph processing. Distributed and Parallel Databases 35(2): 117-148 (2017)

Sai Wu, Mengdan Zhang, Gang Chen, Ke Chen, A New Approach to Compute CNNs for Extremely Large Images, CIKM 2017, 39-48

Xinyuan Luo, Ke Chen, Guifeng Pang, Lidan Shou, Gang Chen:Visible Nearest Neighbor Search for Objects Moving on Consecutive Trajectories. ISPA/IUCC 2017: 1296-1303

Yuxin Zheng, Qi Guo, Anthony K. H. Tung, Sai Wu, LazyLSH: Approximate Nearest Neighbor Search for Multiple Distance Functions with a Single Index, SIGMOD Conference 2016, 2016, , 2023-2037

Xiaolin Gu, Lidan Shou, Pai Peng, Ke Chen, Sai Wu, Gang chen, iGlasses: A Novel Recommendation System for Best-fit Glasses, SIGIR 2016, 2016, 1109-1112

Zhu Zhu, Lidan Shou, Ke Chen: Get into the spirit of a location by mining user-generated travelogues. Neurocomputing 204: 61-69 (2016)

Huan Li, Hua Lu, Xin Chen, Gang Chen, Ke Chen, Lidan Shou, Vita: A Versatile Toolkit for Generating Indoor Mobility Data for Real-World Buildings, PVLDB (2016), 2016, 9(13) , 1453-1456

Hang Yao, Divyakant Agrawal, Gang Chen, Beng Chin Ooi, Sai Wu, Adaptive Logging: Optimizing Logging and Recovery Costs in Distributed In-memory Databases, SIGMOD Conference 2016, 2016, 1119-1134

Pai Peng, Lidan Shou, Ke Chen, Gang Chen, Sai Wu: KISS: Knowing Camera Prototype System for Recognizing and Annotating Places-of-Interest. IEEE Trans. Knowl. Data Eng. 28(4): 994-1006 (2016)

Xiaoling Gu, Lidan Shou, Pai Peng, Ke Chen, Sai Wu, Gang Chen: iGlasses: A Novel Recommendation System for Best-fit Glasses. SIGIR 2016: 1109-1112

Dawei Jiang, Qingchao Cai, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Kian-Lee Tan, Anthony K. H. Tung: Cohort Query Processing. PVLDB 10(1): 1-12 (2016)

Dawei Jiang, Sai Wu, Gang Chen, Beng Chin Ooi, Kian-Lee Tan, Jun Xu: epiC: an extensible and scalable system for processing Big Data. VLDB J. 25(1): 3-26 (2016)

Sai Wu, Gang Chen, Ke Chen, Feng Li, Lidan Shou: HM: A Column-Oriented MapReduce System on Hybrid Storage, Knowledge and Data Engineering, IEEE Transactions on, 2015, 27, 3304 -3317

Chunyang Ma, Yongluan Zhou, Lidan Shou, Gang Chen: PROM: Efficient matching query processing on high-dimensional data. Inf. Sci. 322: 1-19 (2015)

Zhenhua Wang, Lidan Shou, Ke Chen, Gang Chen, Sharad Mehrotra: On Summarization and Timeline Generation for Evolutionary Tweet Streams. IEEE Trans. Knowl. Data Eng. 27(5): 1301-1315 (2015)

Kuang Mao, Lidan Shou, Ju Fan, Gang Chen, Mohan S. Kankanhalli: Competence-Based Song Recommendation: Matching Songs to One's Singing Skill. IEEE Trans. Multimedia 17(3): 396-408 (2015)

Pai Peng, Hongxiang Chen, Lidan Shou, Ke Chen, Gang Chen, Chang Xu: DeepCamera: A Unified Framework for Recognizing Places-of-Interest based on Deep ConvNets. CIKM 2015: 1891-1894

Yongluan Zhou, Lidan Shou, Xuan Shang, Ke Chen: Dissemination of anonymized streaming data. DEBS 2015: 104-115

Zhenhua Wang, Ping He, Lidan Shou, Ke Chen, Sai Wu, Gang Chen: Toward the New Item Problem: Context-Enhanced Event Recommendation in Event-Based Social Networks. ECIR 2015: 333-338

Huan Li, Pai Peng, Hua Lu, Lidan Shou, Ke Chen, Gang Chen: E2C2: efficient and effective camera calibration in indoor environments. UbiComp/ISWC Adjunct 2015: 9-12

Xiaoling Gu, Pai Peng, Mengwen Li, Sai Wu, Lidan Shou, Gang Chen: Cross-Scenario Eyeglasses Retrieval via EGYPT Model. ICMR 2015: 463-466

Gang Chen, Sai Wu, Yuan Wang: The Evolvement of Big Data Systems: From the Perspective of an Information Security Application. Big Data Research 2(2): 65-73 (2015)

Sai Wu, Gang Chen, Xianke Zhou, Zhenjie Zhang, Anthony K. H. Tung, Marianne Winslett: PABIRS: A data access middleware for distributed file systems. ICDE 2015: 113-124