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Yu Gu 0002

谷峪

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unicode name: 谷峪
affiliation (PhD 2010): Northeastern University, School of Computer Science and Engineering, Shenyang, China

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Yu Gu — disambiguation page
Yu Gu 0001 (aka: Yu (Jason) Gu, Yu Jason Gu) — Visa Inc., Austin, TX, USA (and 3 more)
Yu Gu 0003 — University of Electronic Science and Technology of China, I+ Lab, School of Computer Science and Engineering, Chengdu, Sichuan, China (and 3 more)
Yu Gu 0004 — NEC Laboratories of America, Inc., Princeton, NJ, USA (and 1 more)
Yu Gu 0005 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
Yu Gu 0006 — Tongji University, School of Economics and Management, Shanghai, China
Yu Gu 0007 — Xi'an Jiaotong University, School of Electronic and Information Engineering, School of Science, Xi'an, China (and 1 more)
Yu Gu 0008 — West Virginia University, Department of Mechanical and Aerospace Engineering, Morgantown, WV, USA
Yu Gu 0009 — RF Micro Devices (and 1 more)
Yu Gu 0010 — Inner Mongolia University of Science and Technology, China

Yu Gu 0011 — Harbin Institute of Technology, Power Electronics & Motion Control Research Center, Shenzhen, Chin
Yu Gu 0012 — Beijing University of Posts and Telecommunications, National Engineering Laboratory for Mobile Network, China
Yu Gu 0013 — Tsinghua University, School of Economics and Management, Beijing, China
Yu Gu 0014 — Massachusetts Institute of Technology, Cambridge, MA, USA
Yu Gu 0015 — Xidian University, School of Artificial intelligence, China (and 1 more)
Yu Gu 0016 — Ohio State University, Columbus, OH, USA
Yu Gu 0017 — Microsoft Research, Redmond, WA, USA
Yu Gu 0018 — Guangdong University of Petrochemical Technology, School of Automation, Maoming, China (and 2 more)
Yu Gu 0019 — Hefei University of Technology, School of Electrical Engineering and Automation, Hefei, China
Yu Gu 0020 — Shanghai Municipal Educational Examinations Authority, Shanghai, China (and 1 more)
Yu Gu 0021 — Zhejiang University, School of Mechanical Engineering, State Key Laboratory of Fluid Power and Mechatronic Systems, Hangzhou, China
Yu Gu 0022 — University of Tsukuba, Japan
Yu Gu 0023 — University of California at Los Angeles, Joint Institute for Regional Earth System Science and Engineering, Los Angeles, CA, USA
Yu Gu 0024 — Tianjin University, School of Electrical and Information Engineering, Tianjin, China
Yu Gu 0025 — Shenzhen University, School of Architecture and Urban Planning, Department of Urban Informatics, Shenzhen, China
Yu Gu 0026 — North China Electric Power University, School of Electrical and Electronic Engineering, Baoding, China
Yu Gu 0027 — University of Waterloo, David R. Cheriton School of Computer Science, Waterloo, Canada
Yu Gu 0028 — Chongqing University of Posts and Telecommunications, College of Computer Science and Technology, Chongqing, China
Yu Gu 0029 — Tsinghua University, Knowledge Engineering Group, Beijing, China

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2020 – today

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2024
[j56]
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Pengyi Zhang, Yuchen Yuan, Jie Song, Yu Gu, Qiang Qu, Yongjie Bai:
Introducing on-chain graph data to consortium blockchain for commercial transactions. Frontiers Comput. Sci. 18(2): 182608 (2024)
[j55]
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Hao Yuan, Yajiong Liu, Yanfeng Zhang, Xin Ai, Qiange Wang, Chaoyi Chen, Yu Gu, Ge Yu:
Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective. Proc. VLDB Endow. 17(6): 1241-1254 (2024)
[j54]
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Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, Ge Yu:
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments. Proc. VLDB Endow. 17(8): 1995-2008 (2024)
[j53]
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Zhen Song, Yu Gu, Qing Sun, Tianyi Li, Yanfeng Zhang, Yushuai Li, Christian S. Jensen, Ge Yu:
DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training. Proc. VLDB Endow. 17(11): 3388-3401 (2024)
[j52]
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Jie Song, Zexin Zhang, Zirui Tang, Shi Feng, Yu Gu:
Improving Code Summarization With Tree Transformer Enhanced by Position-Related Syntax Complement. IEEE Trans. Artif. Intell. 5(9): 4776-4786 (2024)
[j51]
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Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu:
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network. IEEE Trans. Knowl. Data Eng. 36(9): 4515-4530 (2024)
[c76]
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  - conf/acl/ZhouMLLX00024
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Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu:
MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin. ACL (1) 2024: 14608-14624
[c75]
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Qi Dai, Yumeng Song, Yu Gu, Fangfang Li, Xiaohua Li:
Diffusion Model-Enhanced Contrastive Learning for Graph Representation. DASFAA (6) 2024: 332-341
[c74]
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  - conf/icde/0001C0GJZ24
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Yishu Wang, Jinlong Chu, Ye Yuan, Yu Gu, Hangxu Ji, Hao Zhang:
Label Constrained Reachability Queries on Time Dependent Graphs. ICDE 2024: 3244-3256
[c73]
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  - conf/icde/Wei0L0LZJ024
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Jianpeng Wei, Yu Gu, Tianyi Li, Jianzhong Qi, Chuanwen Li, Yanfeng Zhang, Christian S. Jensen, Ge Yu:
LTPG: Large-Batch Transaction Processing on GPUs with Deterministic Concurrency Control. ICDE 2024: 3865-3877
[c72]
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Na Guo, Yaqi Wang, Wenli Sun, Yu Gu, Jianzhong Qi, Zhenghao Liu, Xiufeng Xia, Ge Yu:
Chameleon: Towards Update-Efficient Learned Indexing for Locally Skewed Data. ICDE 2024: 4316-4328
[c71]
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  - conf/www/LiuCZDWLL0024
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Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, Ge Yu:
Modeling User Viewing Flow using Large Language Models for Article Recommendation. WWW (Companion Volume) 2024: 83-92
[i19]
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  - journals/corr/abs-2401-11469
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Zhigang Wang, Xu Zhang, Ning Wang, Chuanfei Xu, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu:
Accelerating Heterogeneous Tensor Parallelism via Flexible Workload Control. CoRR abs/2401.11469 (2024)
[i18]
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  - journals/corr/abs-2401-11471
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Zhigang Wang, Hangyu Yang, Ning Wang, Chuanfei Xu, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu:
LR-CNN: Lightweight Row-centric Convolutional Neural Network Training for Memory Reduction. CoRR abs/2401.11471 (2024)
[i17]
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  - journals/corr/abs-2405-10481
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Yuqing Lan, Zhenghao Liu, Yu Gu, Xiaoyuan Yi, Xiaohua Li, Liner Yang, Ge Yu:
Multi-Evidence based Fact Verification via A Confidential Graph Neural Network. CoRR abs/2405.10481 (2024)
[i16]
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  - journals/corr/abs-2408-05006
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Weiqing Yang, Hanbin Wang, Zhenghao Liu, Xinze Li, Yukun Yan, Shuo Wang, Yu Gu, Minghe Yu, Zhiyuan Liu, Ge Yu:
Enhancing the Code Debugging Ability of LLMs via Communicative Agent Based Data Refinement. CoRR abs/2408.05006 (2024)
[i15]
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  - journals/corr/abs-2409-12816
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Heng Rao, Yu Gu, Jason Zipeng Zhang, Ge Yu, Yang Cao, Minghan Chen:
Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations. CoRR abs/2409.12816 (2024)
2023
[j50]
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Zhigang Wang, Ning Wang, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu:
A lock-free approach to parallelizing personalized PageRank computations on GPU. Frontiers Comput. Sci. 17(1): 171602 (2023)
[j49]
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  - journals/jpdc/0001ZQB0023
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Jie Song, Pengyi Zhang, Qiang Qu, Yongjie Bai, Yu Gu, Ge Yu:
Why blockchain needs graph: A survey on studies, scenarios, and solutions. J. Parallel Distributed Comput. 180: 104730 (2023)
[j48]
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  - journals/pacmmod/SongGLSZJY23
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Zhen Song, Yu Gu, Tianyi Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu:
ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling. Proc. ACM Manag. Data 1(4): 229:1-229:26 (2023)
[j47]
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Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu:
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams. Proc. VLDB Endow. 17(3): 455-468 (2023)
[j46]
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  - journals/tbd/SongZGGY23
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Jie Song, Xingchen Zhao, Chaopeng Guo, Yu Gu, Ge Yu:
Towards an Energy Complexity Model for Distributed Data Processing Algorithms. IEEE Trans. Big Data 9(6): 1510-1524 (2023)
[j45]
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  - journals/tkde/SuGWZQY23
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Yuhang Su, Yu Gu, Zhigang Wang, Ying Zhang, Jianbin Qin, Ge Yu:
Efficient Subhypergraph Matching Based on Hyperedge Features. IEEE Trans. Knowl. Data Eng. 35(6): 5808-5822 (2023)
[j44]
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  - journals/tpds/WangTWGNWGY23
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Zhigang Wang, Yilei Tu, Ning Wang, Lixin Gao, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu:
FSP: Towards Flexible Synchronous Parallel Frameworks for Distributed Machine Learning. IEEE Trans. Parallel Distributed Syst. 34(2): 687-703 (2023)
[c70]
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  - conf/acl/LiLXY00023
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Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu:
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data. ACL (Findings) 2023: 11560-11574
[c69]
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  - conf/cikm/LiuMXLYL0023
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Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu:
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases. CIKM 2023: 1534-1544
[c68]
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  - conf/dasfaa/WangSGLL23
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Jingbo Wang, Yumeng Song, Yu Gu, Xiaohua Li, Fangfang Li:
CLNIE: A Contrastive Learning Based Node Importance Evaluation Method for Knowledge Graphs with Few Labels. DASFAA (2) 2023: 689-705
[c67]
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  - conf/icdcs/WangYWDNWGY23
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Zhigang Wang, Zichao Yang, Ning Wang, Yujie Du, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu:
Lightweight Streaming Graph Partitioning by Fully Utilizing Knowledge from Local View. ICDCS 2023: 614-625
[c66]
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  - conf/icde/WangW0N0TG023
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Ning Wang, Yaohua Wang, Zhigang Wang, Jie Nie, Zhiqiang Wei, Peng Tang, Yu Gu, Ge Yu:
PrivNUD: Effective Range Query Processing under Local Differential Privacy. ICDE 2023: 2660-2672
[c65]
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  - conf/icde/SongGZ023
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Yang Song, Yu Gu, Rui Zhang, Ge Yu:
BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances (Extended Abstract). ICDE 2023: 3883-3884
[c64]
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  - conf/kdd/0005TCHLWNDG23
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Jia Xu, Wanjie Tao, Zulong Chen, Jin Huang, Huihui Liu, Hong Wen, Shenghua Ni, Qun Dai, Yu Gu:
PlanRanker: Towards Personalized Ranking of Train Transfer Plans. KDD 2023: 5315-5326
[c63]
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  - conf/wsdm/WangCDXG023
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Xinlei Wang, Jinyi Chen, Bing Tian Dai, Junchang Xin, Yu Gu, Ge Yu:
Effective Graph Kernels for Evolving Functional Brain Networks. WSDM 2023: 150-158
[i14]
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  - journals/corr/abs-2303-06213
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Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu:
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network. CoRR abs/2303.06213 (2023)
[i13]
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  - journals/corr/abs-2305-19912
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Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu:
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data. CoRR abs/2305.19912 (2023)
[i12]
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  - journals/corr/abs-2308-14029
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Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu:
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases. CoRR abs/2308.14029 (2023)
[i11]
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  - journals/corr/abs-2310-14037
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Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu:
Unlock Multi-Modal Capability of Dense Retrieval via Visual Module Plugin. CoRR abs/2310.14037 (2023)
[i10]
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  - journals/corr/abs-2311-07619
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Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, Ge Yu:
Modeling User Viewing Flow using Large Language Models for Article Recommendation. CoRR abs/2311.07619 (2023)
[i9]
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  - journals/corr/abs-2311-13225
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Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, Ge Yu:
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments. CoRR abs/2311.13225 (2023)
[i8]
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  - journals/corr/abs-2311-13279
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Hao Yuan, Yajiong Liu, Yanfeng Zhang, Xin Ai, Qiange Wang, Chaoyi Chen, Yu Gu, Ge Yu:
Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective. CoRR abs/2311.13279 (2023)
[i7]
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  - journals/corr/abs-2312-02473
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Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu:
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams. CoRR abs/2312.02473 (2023)
2022
[j43]
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Zhen Song, Yu Gu, Zhigang Wang, Ge Yu:
DRPS: efficient disk-resident parameter servers for distributed machine learning. Frontiers Comput. Sci. 16(4): 164321 (2022)
[j42]
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Ning Wang, Wei Zheng, Zhigang Wang, Zhiqiang Wei, Yu Gu, Peng Tang, Ge Yu:
Collecting and analyzing key-value data under shuffled differential privacy. Frontiers Comput. Sci. 17(2): 172606 (2022)
[j41]
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  - journals/tkde/SongGZY22
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Yang Song, Yu Gu, Rui Zhang, Ge Yu:
BrePartition: Optimized High-Dimensional kNN Search With Bregman Distances. IEEE Trans. Knowl. Data Eng. 34(3): 1053-1065 (2022)
[j40]
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Yu Gu, Kaiqiang Yu, Zhen Song, Jianzhong Qi, Zhigang Wang, Ge Yu, Rui Zhang:
Distributed Hypergraph Processing Using Intersection Graphs. IEEE Trans. Knowl. Data Eng. 34(7): 3182-3195 (2022)
[j39]
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  - journals/www/ChenWGLY22
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Jing Chen, Qiange Wang, Yu Gu, Chuanwen Li, Ge Yu:
Unified-memory-based hybrid processing for partition-oriented subgraph matching on GPU. World Wide Web 25(3): 1377-1402 (2022)
[c62]
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Yuhang Su, Yang Song, Xiaohua Li, Fangfang Li, Yu Gu:
Efficient Subhypergraph Containment Queries on Hypergraph Databases. WISA 2022: 497-509
[c61]
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Yuhang Su, Yu Gu, Yang Song, Ge Yu:
Accelerating Hypergraph Motif Counting Based on Hyperedge Relations. APWeb/WAIM (2) 2022: 3-11
[c60]
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Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu:
Parallel Skyline Processing Using Space Pruning on GPU. CIKM 2022: 1074-1083
[c59]
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Yang Wang, Yu Gu, Chuanwen Li:
Parallel Pivoted Subgraph Filtering with Partial Coding Trees on GPU. DASFAA (1) 2022: 325-332
[c58]
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Yumeng Song, Yu Gu, Xiaohua Li, Chuanwen Li, Ge Yu:
CSGNN: Improving Graph Neural Networks with Contrastive Semi-supervised Learning. DASFAA (1) 2022: 731-738
[c57]
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Di Wei, Yu Gu, Yumeng Song, Zhen Song, Fangfang Li, Ge Yu:
IncreGNN: Incremental Graph Neural Network Learning by Considering Node and Parameter Importance. DASFAA (1) 2022: 739-746
[c56]
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Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua Li:
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder. EMNLP 2022: 5692-5698
[c55]
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Zhen Song, Yu Gu, Jianzhong Qi, Zhigang Wang, Ge Yu:
EC-Graph: A Distributed Graph Neural Network System with Error-Compensated Compression. ICDE 2022: 648-660
[i6]
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  - journals/corr/abs-2202-12713
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Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao:
HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction. CoRR abs/2202.12713 (2022)
[i5]
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  - journals/corr/abs-2205-03284
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Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua Li:
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder. CoRR abs/2205.03284 (2022)
2021
[j38]
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Hengyu Liu, Tiancheng Zhang, Fan Li, Yu Gu, Ge Yu:
Tracking Knowledge Structures and Proficiencies of Students With Learning Transfer. IEEE Access 9: 55413-55421 (2021)
[j37]
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Zhuo Ren, Yu Gu, Chuanwen Li, Fangfang Li, Ge Yu:
GPU-Based Dynamic Hyperspace Hash with Full Concurrency. Data Sci. Eng. 6(3): 265-279 (2021)
[j36]
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Zihan Zhou, Yu Gu, Ge Yu:
Adversarial network embedding using structural similarity. Frontiers Comput. Sci. 15(1): 151603 (2021)
[j35]
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Zhigang Wang, Yu Gu, Yubin Bao, Ge Yu, Jeffrey Xu Yu, Zhiqiang Wei:
HGraph: I/O-Efficient Distributed and Iterative Graph Computing by Hybrid Pushing/Pulling. IEEE Trans. Knowl. Data Eng. 33(5): 1973-1987 (2021)
[c54]
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Yang Song, Yu Gu, Rui Zhang, Ge Yu:
ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index. ICDE 2021: 1619-1630
[i4]
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  - journals/corr/abs-2104-04406
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Yang Song, Yu Gu, Rui Zhang, Ge Yu:
ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index. CoRR abs/2104.04406 (2021)
[i3]
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  - journals/corr/abs-2107-09993
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Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu:
SkyCell: A Space-Pruning Based Parallel Skyline Algorithm. CoRR abs/2107.09993 (2021)
2020
[j34]
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Qian Ma, Wang-Chien Lee, Tao-Yang Fu, Yu Gu, Ge Yu:
MIDIA: exploring denoising autoencoders for missing data imputation. Data Min. Knowl. Discov. 34(6): 1859-1897 (2020)
[j33]
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Qian Ma, Yu Gu, Wang-Chien Lee, Ge Yu, Hongbo Liu, Xindong Wu:
REMIAN: Real-Time and Error-Tolerant Missing Value Imputation. ACM Trans. Knowl. Discov. Data 14(6): 77:1-77:38 (2020)
[j32]
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Hongfei Xu, Yu Gu, Yu Sun, Jianzhong Qi, Ge Yu, Rui Zhang:
Efficient processing of moving collective spatial keyword queries. VLDB J. 29(4): 841-865 (2020)
[c53]
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  - conf/apweb/Chen0WL020
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Jing Chen, Yu Gu, Qiange Wang, Chuanwen Li, Ge Yu:
Partition-Oriented Subgraph Matching on GPU. APWeb/WAIM (1) 2020: 53-68
[c52]
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Zhuo Ren, Yu Gu, Chuanwen Li, Fangfang Li, Ge Yu:
GHSH: Dynamic Hyperspace Hashing on GPU. APWeb/WAIM (2) 2020: 409-424
[c51]
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  - conf/dasfaa/ShaoGGWLY20
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Zhenzhen Shao, Na Guo, Yu Gu, Zhigang Wang, Fangfang Li, Ge Yu:
Efficient Closeness Centrality Computation for Dynamic Graphs. DASFAA (2) 2020: 534-550
[i2]
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  - journals/corr/abs-2006-00227
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Yang Song, Yu Gu, Rui Zhang, Ge Yu:
BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances. CoRR abs/2006.00227 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
[j31]
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Ning Wang, Zhigang Wang, Yu Gu, Jia Xu, Zhiqiang Wei, Ge Yu:
Differentially Private Top-k Frequent Columns Publication for High-Dimensional Data. IEEE Access 7: 177342-177353 (2019)
[j30]
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Ning Wang, Yu Gu, Jia Xu, Fangfang Li, Ge Yu:
Differentially private high-dimensional data publication via grouping and truncating techniques. Frontiers Comput. Sci. 13(2): 382-395 (2019)
[j29]
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Ning Wang, Zhigang Wang, Yu Gu, Yubin Bao, Ge Yu:
TSH: Easy-to-be distributed partitioning for large-scale graphs. Future Gener. Comput. Syst. 101: 804-818 (2019)
[j28]
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Chuanwen Li, Yu Gu, Jianzhong Qi, Rui Zhang, Ge Yu:
Moving kNN query processing in metric space based on influential sets. Inf. Syst. 83: 126-144 (2019)
[j27]
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Hongfei Xu, Yu Gu, Jianzhong Qi, Jiayuan He, Ge Yu:
Diversifying Top-k Routes with Spatial Constraints. J. Comput. Sci. Technol. 34(4): 818-838 (2019)
[j26]
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Qian Ma, Yu Gu, Wang-Chien Lee, Ge Yu:
Order-Sensitive Imputation for Clustered Missing Values. IEEE Trans. Knowl. Data Eng. 31(1): 166-180 (2019)
[c50]
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Jun Pang, Minghe Yu, Yu Gu:
Efficient Large-Scale Multi-graph Similarity Search Using MapReduce. WISA 2019: 213-225
[c49]
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Kaiqiang Yu, Yu Gu, Shuo Yao, Zhen Song, Ge Yu:
Iterative Hypergraph Computation Based on Hyperedge-Connected Graphs. APWeb/WAIM (1) 2019: 273-280
[c48]
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Ying Yang, Yu Gu, Chuanwen Li, Changyi Wan, Ge Yu:
GPU-Accelerated Dynamic Graph Coloring. DASFAA (3) 2019: 296-299
[c47]
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Changfa Wu, Yu Gu, Ge Yu:
DPSCAN: Structural Graph Clustering Based on Density Peaks. DASFAA (2) 2019: 626-641
[c46]
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Qian Ma, Yu Gu, Wang-Chien Lee, Ge Yu:
Order-Sensitive Imputation for Clustered Missing Values (Extended Abstract). ICDE 2019: 2147-2148
2018
[j25]
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Jun Pang, Yuhai Zhao, Jia Xu, Yu Gu, Ge Yu:
Super-Graph Classification Based on Composite Subgraph Features and Extreme Learning Machine. Cogn. Comput. 10(6): 922-936 (2018)
[j24]
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Jun Pang, Yu Gu, Jia Xu, Ge Yu:
Semi-supervised multi-graph classification using optimal feature selection and extreme learning machine. Neurocomputing 277: 89-100 (2018)
[j23]
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Yu Gu, Yandan Guo, Yang Song, Xiangmin Zhou, Ge Yu:
Approximate Order-Sensitive k-NN Queries over Correlated High-Dimensional Data. IEEE Trans. Knowl. Data Eng. 30(11): 2037-2050 (2018)
[j22]
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Zhigang Wang, Lixin Gao, Yu Gu, Yubin Bao, Ge Yu:
A Fault-Tolerant Framework for Asynchronous Iterative Computations in Cloud Environments. IEEE Trans. Parallel Distributed Syst. 29(8): 1678-1692 (2018)
[c45]
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Yang Song, Yu Gu, Ge Yu:
LIDH: An Efficient Filtering Method for Approximate k Nearest Neighbor Queries Based on Local Intrinsic Dimension. APWeb/WAIM (1) 2018: 268-276
[c44]
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Chuanwen Li, Yu Gu, Jianzhong Qi, Jiayuan He, Qingxu Deng, Ge Yu:
A GPU Accelerated Update Efficient Index for kNN Queries in Road Networks. ICDE 2018: 881-892
2017
[j21]
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Zhigang Wang, Yu Gu, Yubin Bao, Ge Yu, Lixin Gao:
An I/O-efficient and adaptive fault-tolerant framework for distributed graph computations. Distributed Parallel Databases 35(2): 177-196 (2017)
[j20]
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Jun Pang, Yu Gu, Jia Xu, Xiaowang Kong, Ge Yu:
Parallel multi-graph classification using extreme learning machine and MapReduce. Neurocomputing 261: 171-183 (2017)
[j19]
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Ning Wang, Yu Gu, Jia Xu, Fangfang Li, Ge Yu:
Differentially Private Event Histogram Publication on Sequences over Graphs. J. Comput. Sci. Technol. 32(5): 1008-1024 (2017)
[c43]
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Zhigang Wang, Lixin Gao, Yu Gu, Yubin Bao, Ge Yu:
FSP: towards flexible synchronous parallel framework for expectation-maximization based algorithms on cloud. SoCC 2017: 1-14
[c42]
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Tianyi Li, Yu Gu, Xiangmin Zhou, Qian Ma, Ge Yu:
An Effective and Efficient Truth Discovery Framework over Data Streams. EDBT 2017: 180-191
[c41]
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Yu Gu, Guanli Liu, Jianzhong Qi, Hongfei Xu, Ge Yu, Rui Zhang:
The Moving K Diversified Nearest Neighbor Query. ICDE 2017: 31-32
[c40]
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Ning Wang, Xiaokui Xiao, Yin Yang, Zhenjie Zhang, Yu Gu, Ge Yu:
PrivSuper: A Superset-First Approach to Frequent Itemset Mining under Differential Privacy. ICDE 2017: 809-820
2016
[j18]
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Yu Gu, Guanli Liu, Jianzhong Qi, Hongfei Xu, Ge Yu, Rui Zhang:
The Moving K Diversified Nearest Neighbor Query. IEEE Trans. Knowl. Data Eng. 28(10): 2778-2792 (2016)
[j17]
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Yu Gu, Hui Zhang, Zhigang Wang, Ge Yu:
Efficient moving k nearest neighbor queries over line segment objects. World Wide Web 19(4): 653-677 (2016)
[j16]
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Yu Gu, Chunpeng Gao, Lulu Wang, Ge Yu:
Subgraph similarity maximal all-matching over a large uncertain graph. World Wide Web 19(5): 755-782 (2016)
[c39]
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  - conf/IEEEwisa/LiWGC16
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Fangfang Li, Ning Wang, Yu Gu, Zhe Chen:
Effective Privacy Preservation over Composite Events with Markov Correlations. IEEE WISA 2016: 215-220
[c38]
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Miao Li, Lisi Chen, Gao Cong, Yu Gu, Ge Yu:
Efficient Processing of Location-Aware Group Preference Queries. CIKM 2016: 559-568
[c37]
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Zhigang Wang, Lixin Gao, Yu Gu, Yubin Bao, Ge Yu:
A Fault-Tolerant Framework for Asynchronous Iterative Computations in Cloud Environments. SoCC 2016: 71-83
[c36]
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Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, Qingxu Deng:
INSQ: An influential neighbor set based moving kNN query processing system. ICDE 2016: 1338-1341
[c35]
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Jia Xu, Bin Lei, Yu Gu, Marianne Winslett, Ge Yu, Zhenjie Zhang:
Efficient similarity join based on Earth Mover's Distance using MapReduce. ICDE 2016: 1456-1457
[c34]
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  - conf/sigmod/Wang0BYY16
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Zhigang Wang, Yu Gu, Yubin Bao, Ge Yu, Jeffrey Xu Yu:
Hybrid Pulling/Pushing for I/O-Efficient Distributed and Iterative Graph Computing. SIGMOD Conference 2016: 479-494
[i1]
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  - https://dblp.org/rec/journals/corr/Li0QYZD16
Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, Qingxu Deng:
INSQ: An Influential Neighbor Set Based Moving kNN Query Processing System. CoRR abs/1602.00363 (2016)
2015
[j15]
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Jun Pang, Ge Yu, Jia Xu, Yu Gu:
基于MapReduce框架的海量数据相似性连接研究进展 (Similarity Joins on Massive Data Based on MapReduce Framework). 计算机科学 42(1): 1-5 (2015)
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Chuanwen Li, Yu Gu, Jianzhong Qi, Rui Zhang, Ge Yu:
A safe region based approach to moving KNN queries in obstructed space. Knowl. Inf. Syst. 45(2): 417-451 (2015)
[j13]
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Jia Xu, Bin Lei, Yu Gu, Marianne Winslett, Ge Yu, Zhenjie Zhang:
Efficient Similarity Join Based on Earth Mover's Distance Using MapReduce. IEEE Trans. Knowl. Data Eng. 27(8): 2148-2162 (2015)
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Qian Ma, Yu Gu, Tiancheng Zhang, Fangfang Li, Ge Yu:
Energy-Efficient and Smoothing-Sensitive Curve Recovery of Sensing Physical World. BigCom 2015: 311-324
[c32]
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Miao Li, Yu Gu, Ge Yu:
Effective and Efficient Predictive Density Queries for Indoor Moving Objects. DASFAA (1) 2015: 244-259
2014
[j12]
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Yanqiu Wang, Rui Zhang, Chuanfei Xu, Jianzhong Qi, Yu Gu, Ge Yu:
Continuous visible k nearest neighbor query on moving objects. Inf. Syst. 44: 1-21 (2014)
[j11]
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Yu Gu, Ge Yu, Xiaonan Yu:
An Efficient Method for k Nearest Neighbor Searching in Obstructed Spatial Databases. J. Inf. Sci. Eng. 30(5): 1569-1583 (2014)
[j10]
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Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, Wang Yi:
Processing Moving kNN Queries Using Influential Neighbor Sets. Proc. VLDB Endow. 8(2): 113-124 (2014)
[j9]
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Yu Gu, Chunpeng Gao, Gao Cong, Ge Yu:
Effective and Efficient Clustering Methods for Correlated Probabilistic Graphs. IEEE Trans. Knowl. Data Eng. 26(5): 1117-1130 (2014)
[c31]
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Minghan Chen, Yu Gu, Yubin Bao, Ge Yu:
Label and Distance-Constraint Reachability Queries in Uncertain Graphs. DASFAA (1) 2014: 188-202
[c30]
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Jun Pang, Yu Gu, Jia Xu, Yubin Bao, Ge Yu:
Efficient Graph Similarity Join with Scalable Prefix-Filtering Using MapReduce. WAIM 2014: 415-418
2013
[j8]
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Yu Gu, Ge Yu, Na Guo:
Triggered Moving Range Queries over RFID Monitored Objects. J. Inf. Sci. Eng. 29(3): 401-416 (2013)
[j7]
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Chuanfei Xu, Yu Gu, Roger Zimmermann, Shukuan Lin, Ge Yu:
Group Location Selection Queries over Uncertain Objects. IEEE Trans. Knowl. Data Eng. 25(12): 2796-2808 (2013)
[j6]
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  - journals/winet/WangX0CY13
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Yanqiu Wang, Chuanfei Xu, Yu Gu, Mo Chen, Ge Yu:
Spatial query processing in road networks for wireless data broadcast. Wirel. Networks 19(4): 477-494 (2013)
[c29]
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  - conf/bigdata/WangB0LYDG13
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Zhigang Wang, Yubin Bao, Yu Gu, Fangling Leng, Ge Yu, Chao Deng, Leitao Guo:
A BSP-Based Parallel Iterative Processing System with Multiple Partition Strategies for Big Graphs. BigData Congress 2013: 173-180
[c28]
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Zhigang Wang, Yu Gu, Roger Zimmermann, Ge Yu:
Shortest Path Computation over Disk-Resident Large Graphs Based on Extended Bulk Synchronous Parallel Methods. DASFAA (2) 2013: 1-15
[c27]
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Yubin Bao, Zhigang Wang, Yu Gu, Ge Yu, Fangling Leng, Hongxu Zhang, Bairen Chen, Chao Deng, Leitao Guo:
BC-BSP: A BSP-Based Parallel Iterative Processing System for Big Data on Cloud Architecture. DASFAA Workshops 2013: 31-45
[c26]
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Wenan Wang, Yu Gu, Zhigang Wang, Ge Yu:
Parallel Triangle Counting over Large Graphs. DASFAA (2) 2013: 301-308
[c25]
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  - conf/icde/Xu00QY13
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Chuanfei Xu, Yu Gu, Lei Chen, Jianzhong Qiao, Ge Yu:
Interval reverse nearest neighbor queries on uncertain data with Markov correlations. ICDE 2013: 170-181
2012
[j5]
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  - journals/apin/XuWGLY12
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Chuanfei Xu, Yanqiu Wang, Yu Gu, Shukuan Lin, Ge Yu:
Efficient fuzzy ranking queries in uncertain databases. Appl. Intell. 37(1): 47-59 (2012)
[j4]
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  - journals/mcm/0002YL12
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Yu Gu, Ge Yu, Chuanwen Li:
Deadline-aware complex event processing models over distributed monitoring streams. Math. Comput. Model. 55(3-4): 901-917 (2012)
[c24]
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Chuanfei Xu, Yanqiu Wang, Yu Gu, Shukuan Lin, Ge Yu:
Optimal k-Constraint Coverage Queries on Spatial Objects. ADC 2012: 41-50
[c23]
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  - conf/apweb/YangGBY12
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Jiaxue Yang, Yu Gu, Yubin Bao, Ge Yu:
Scalable Complex Event Processing on Top of MapReduce. APWeb 2012: 529-536
[c22]
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Tiancheng Zhang, Xiaonan Yu, Dejun Yue, Yu Gu, Ge Yu:
Study of an RFID Based Object-Relationship Recognition System. CIS 2012: 359-363
[c21]
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Jia Xu, Qiushi Bai, Yu Gu, Anthony K. H. Tung, Guoren Wang, Ge Yu, Zhenjie Zhang:
EUDEMON: A System for Online Video Frame Copy Detection by Earth Mover's Distance. ICDE 2012: 1233-1236
[c20]
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Miao Li, Yu Gu, Jia Xu, Ge Yu:
Adaptive Update Workload Reduction for Moving Objects in Road Networks. WAIM 2012: 216-221
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Zhifeng Bao, Yunjun Gao, Yu Gu, Longjiang Guo, Yingshu Li, Jiaheng Lu, Zujie Ren, Chaokun Wang, Xiao Zhang:
Web-Age Information Management - WAIM 2012 International Workshops: GDMM, IWSN, MDSP, USDM, and XMLDM Harbin, China, August 18-20, 2012 Proceedings. Lecture Notes in Computer Science 7419, Springer 2012, ISBN 978-3-642-33049-0 [contents]
2011
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Chuanwen Li, Yu Gu, Ge Yu, Bonghee Hong:
Aggressive Complex Event Processing with Confidence over Out-of-Order Streams. J. Comput. Sci. Technol. 26(4): 685-696 (2011)
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Mo Chen, Ge Yu, Yu Gu, Zixi Jia, Yanqiu Wang:
An Efficient Method for Cleaning Dirty-Events over Uncertain Data in WSNs. J. Comput. Sci. Technol. 26(6): 942-953 (2011)
[c19]
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Mo Chen, Zixi Jia, Yu Gu, Ge Yu:
Top-K Probabilistic Closest Pairs Query in Uncertain Spatial Databases. APWeb 2011: 53-64
[c18]
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Chuanwen Li, Yu Gu, Ge Yu, Fangfang Li:
wNeighbors: A Method for Finding k Nearest Neighbors in Weighted Regions. DASFAA (2) 2011: 134-148
[c17]
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Yu Gu, Na Guo, Chuanwen Li, Ge Yu:
MRQSim: A Moving Range Query Simulation Platform in Spatial Networks. DASFAA (2) 2011: 434-437
[c16]
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Mo Chen, Zixi Jia, Yu Gu, Ge Yu, Chuanwen Li:
Evaluating Probabilistic Spatial-Range Closest Pairs Queries over Uncertain Objects. WAIM 2011: 602-613
2010
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Chuanwen Li, Yu Gu, Fangfang Li, Mo Chen:
Moving K-Nearest Neighbor Query over Obstructed Regions. APWeb 2010: 29-35
[c14]
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  - conf/dexa/XuWLGQ10
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Chuanfei Xu, Yanqiu Wang, Shukuan Lin, Yu Gu, Jianzhong Qiao:
Efficient Fuzzy Top-k Query Processing over Uncertain Objects. DEXA (1) 2010: 167-182
[c13]
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Yanqiu Wang, Ge Yu, Yu Gu, Dejun Yue, Tiancheng Zhang:
Efficient Similarity Query in RFID Trajectory Databases. WAIM 2010: 620-631

2000 – 2009

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2009
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Tiancheng Zhang, Dejun Yue, Yu Gu, Yi Wang, Ge Yu:
Adaptive correlation analysis in stream time series with sliding windows. Comput. Math. Appl. 57(6): 937-948 (2009)
[c12]
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Yu Gu, Ge Yu, Na Guo, Yueguo Chen:
Probabilistic moving range query over RFID spatio-temporal data streams. CIKM 2009: 1413-1416
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Yu Gu, Ge Yu, Yueguo Chen, Beng Chin Ooi:
Efficient RFID Data Imputation by Analyzing the Correlations of Monitored Objects. DASFAA 2009: 186-200
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Yueguo Chen, Su Chen, Yu Gu, Mei Hui, Feng Li, Chen Liu, Liangxu Liu, Beng Chin Ooi, Xiaoyan Yang, Dongxiang Zhang, Yuan Zhou:
MarcoPolo: a community system for sharing and integrating travel information on maps. EDBT 2009: 1148-1151
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Yanqiu Wang, Ge Yu, Tiancheng Zhang, Dejun Yue, Yu Gu, Xiaolong Hu:
Effective Similarity Analysis over Event Streams Based on Sharing Extent. APWeb/WAIM 2009: 308-319
2008
[c8]
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Yu Gu, Yanfei Lv, Ge Yu, Jia Xu:
Modeling and Service Capability Evaluation for RFID Complex Event Processing. WAIM 2008: 187-194
2007
[c7]
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Tiancheng Zhang, Dejun Yue, Yu Gu, Ge Yu:
Boolean representation based data-adaptive correlation analysis over time series streams. CIKM 2007: 203-212
[c6]
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Xiaojing Li, Yu Gu, Dejun Yue, Ge Yu:
An Adaptive Join Strategy in Distributed Data Stream Management System. CIS 2007: 271-275
[c5]
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Tiancheng Zhang, Dejun Yue, Ge Yu, Yu Gu:
Correlation Analysis Based on Hierarchical Boolean Representation over Time Series Data Streams. FSKD (2) 2007: 740-744
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Shanshan Wu, Yanfei Lv, Ge Yu, Yu Gu, Xiaojing Li:
A QoS-Guaranteeing Scheduling Algorithm for Continuous Queries over Streams. APWeb/WAIM 2007: 522-533
[c3]
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Yu Gu, Ge Yu, Shanshan Wu, Xiaojing Li, Yanfei Lv, Dejun Yue:
A Simple But Effective Event-Driven Model for Data Stream Queries. APWeb/WAIM 2007: 534-541
2006
[c2]
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  - conf/wise/WuGLY06
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Shanshan Wu, Yu Gu, Yanfei Lv, Ge Yu:
Modelling and Guaranteeing Quality of Service over Data Streams. WISE Workshops 2006: 13-24
2005
[c1]
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  - conf/waim/ShanshanGYZXY05
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Shanshan Wu, Ge Yu, Yaxin Yu, Zhengyu Ou, Xinhua Yang, Yu Gu:
A Deadline-Sensitive Approach for Real-Time Processing of Sliding Windows. WAIM 2005: 566-577

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