Yu Gu

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 98

Top Venues

CoRR

ICDE

IEEE Trans. Knowl. Data Eng.

Frontiers Comput. Sci.

Publications

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 (2024)
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)
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) (2024)
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 (2024)
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) (2024)
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)
Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li
KoLA: Carefully Benchmarking World Knowledge of Large Language Models. ICLR (2024)
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) (2024)
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 (2024)
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) (2024)
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)
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)
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 (2023)
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) (2023)
Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network. CoRR (2023)
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)
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 (2023)
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)
Yang Song, Yu Gu, Rui Zhang, Ge Yu
BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances (Extended Abstract). ICDE (2023)
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 (2023)
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) (2023)
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)
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) (2023)
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) (2023)
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) (2023)
Donghan Yu, Yu Gu, Chenyan Xiong, Yiming Yang
CompleQA: Benchmarking the Impacts of Knowledge Graph Completion Methods on Question Answering. EMNLP (Findings) (2023)
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 (2023)
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) (2023)
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)
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 (2023)
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) (2022)
Yuhang Su, Yu Gu, Yang Song, Ge Yu
Accelerating Hypergraph Motif Counting Based on Hyperedge Relations. APWeb/WAIM (2) (2022)
Yang Song, Yu Gu, Rui Zhang, Ge Yu
BrePartition: Optimized High-Dimensional kNN Search With Bregman Distances. IEEE Trans. Knowl. Data Eng. 34 (3) (2022)
Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu
Parallel Skyline Processing Using Space Pruning on GPU. CIKM (2022)
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)
Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua Li
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder. EMNLP (2022)
Yumeng Song, Yu Gu, Xiaohua Li, Chuanwen Li, Ge Yu
CSGNN: Improving Graph Neural Networks with Contrastive Semi-supervised Learning. DASFAA (1) (2022)
Zhen Song, Yu Gu, Zhigang Wang, Ge Yu
DRPS: efficient disk-resident parameter servers for distributed machine learning. Frontiers Comput. Sci. 16 (4) (2022)
Yuhang Su, Yang Song, Xiaohua Li, Fangfang Li, Yu Gu
Efficient Subhypergraph Containment Queries on Hypergraph Databases. WISA (2022)
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 (2022)
Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua Li
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder. CoRR (2022)
Zhen Song, Yu Gu, Jianzhong Qi, Zhigang Wang, Ge Yu
EC-Graph: A Distributed Graph Neural Network System with Error-Compensated Compression. ICDE (2022)
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) (2022)
Yang Wang, Yu Gu, Chuanwen Li
Parallel Pivoted Subgraph Filtering with Partial Coding Trees on GPU. DASFAA (1) (2022)
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) (2022)
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) (2021)
Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu
SkyCell: A Space-Pruning Based Parallel Skyline Algorithm. CoRR (2021)
Yang Song, Yu Gu, Rui Zhang, Ge Yu
ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index. ICDE (2021)
Zihan Zhou, Yu Gu, Ge Yu
Adversarial network embedding using structural similarity. Frontiers Comput. Sci. 15 (1) (2021)
Zhuo Ren, Yu Gu, Chuanwen Li, Fangfang Li, Ge Yu
GPU-Based Dynamic Hyperspace Hash with Full Concurrency. Data Sci. Eng. 6 (3) (2021)
Yang Song, Yu Gu, Rui Zhang, Ge Yu
ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index. CoRR (2021)
Hengyu Liu, Tiancheng Zhang, Fan Li, Yu Gu, Ge Yu
Tracking Knowledge Structures and Proficiencies of Students With Learning Transfer. IEEE Access 9 (2021)
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) (2020)
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) (2020)
Yang Song, Yu Gu, Rui Zhang, Ge Yu
BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances. CoRR (2020)
Jing Chen, Yu Gu, Qiange Wang, Chuanwen Li, Ge Yu
Partition-Oriented Subgraph Matching on GPU. APWeb/WAIM (1) (2020)
Hongfei Xu, Yu Gu, Yu Sun, Jianzhong Qi, Ge Yu, Rui Zhang
Efficient processing of moving collective spatial keyword queries. VLDB J. 29 (4) (2020)
Zhuo Ren, Yu Gu, Chuanwen Li, Fangfang Li, Ge Yu
GHSH: Dynamic Hyperspace Hashing on GPU. APWeb/WAIM (2) (2020)
Zhenzhen Shao, Na Guo, Yu Gu, Zhigang Wang, Fangfang Li, Ge Yu
Efficient Closeness Centrality Computation for Dynamic Graphs. DASFAA (2) (2020)
Qian Ma, Yu Gu, Wang-Chien Lee, Ge Yu
Order-Sensitive Imputation for Clustered Missing Values (Extended Abstract). ICDE (2019)
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 (2019)
Qian Ma, Yu Gu, Wang-Chien Lee, Ge Yu
Order-Sensitive Imputation for Clustered Missing Values. IEEE Trans. Knowl. Data Eng. 31 (1) (2019)
Chuanwen Li, Yu Gu, Jianzhong Qi, Rui Zhang, Ge Yu
NN query processing in metric space based on influential sets. Inf. Syst. 83 (2019)
Changfa Wu, Yu Gu, Ge Yu
DPSCAN: Structural Graph Clustering Based on Density Peaks. DASFAA (2) (2019)
Ying Yang, Yu Gu, Chuanwen Li, Changyi Wan, Ge Yu
GPU-Accelerated Dynamic Graph Coloring. DASFAA (3) (2019)
Jun Pang, Minghe Yu, Yu Gu
Efficient Large-Scale Multi-graph Similarity Search Using MapReduce. WISA (2019)
Kaiqiang Yu, Yu Gu, Shuo Yao, Zhen Song, Ge Yu
Iterative Hypergraph Computation Based on Hyperedge-Connected Graphs. APWeb/WAIM (1) (2019)
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) (2019)
Hongfei Xu, Yu Gu, Jianzhong Qi, Jiayuan He, Ge Yu
Diversifying Top-k Routes with Spatial Constraints. J. Comput. Sci. Technol. 34 (4) (2019)
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 (2019)
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)
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)
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) (2018)
Jun Pang, Yu Gu, Jia Xu, Ge Yu
Semi-supervised multi-graph classification using optimal feature selection and extreme learning machine. Neurocomputing 277 (2018)
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) (2018)
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) (2018)
Yu Gu, Guanli Liu, Jianzhong Qi, Hongfei Xu, Ge Yu, Rui Zhang
The Moving K Diversified Nearest Neighbor Query. ICDE (2017)
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) (2017)
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) (2017)
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)
Tianyi Li, Yu Gu, Xiangmin Zhou, Qian Ma, Ge Yu
An Effective and Efficient Truth Discovery Framework over Data Streams. EDBT (2017)
Jun Pang, Yu Gu, Jia Xu, Xiaowang Kong, Ge Yu
Parallel multi-graph classification using extreme learning machine and MapReduce. Neurocomputing 261 (2017)
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)
Yu Gu, Hui Zhang, Zhigang Wang, Ge Yu
Efficient moving k nearest neighbor queries over line segment objects. World Wide Web 19 (4) (2016)
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) (2016)
Miao Li, Lisi Chen, Gao Cong, Yu Gu, Ge Yu
Efficient Processing of Location-Aware Group Preference Queries. CIKM (2016)
Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, Qingxu Deng
INSQ: An Influential Neighbor Set Based Moving kNN Query Processing System. CoRR (2016)
Fangfang Li, Ning Wang, Yu Gu, Zhe Chen
Effective Privacy Preservation over Composite Events with Markov Correlations. IEEE WISA (2016)
Zhigang Wang, Lixin Gao, Yu Gu, Yubin Bao, Ge Yu
A Fault-Tolerant Framework for Asynchronous Iterative Computations in Cloud Environments. SoCC (2016)
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)
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)
Yu Gu, Chunpeng Gao, Lulu Wang, Ge Yu
Subgraph similarity maximal all-matching over a large uncertain graph. World Wide Web 19 (5) (2016)
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)
Miao Li, Yu Gu, Ge Yu
Effective and Efficient Predictive Density Queries for Indoor Moving Objects. DASFAA (1) (2015)
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) (2015)
Qian Ma, Yu Gu, Tiancheng Zhang, Fangfang Li, Ge Yu
Energy-Efficient and Smoothing-Sensitive Curve Recovery of Sensing Physical World. BigCom (2015)
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) (2015)
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) (2015)
Minghan Chen, Yu Gu, Yubin Bao, Ge Yu
Label and Distance-Constraint Reachability Queries in Uncertain Graphs. DASFAA (1) (2014)
Yu Gu, Ge Yu, Xiaonan Yu
An Efficient Method for k Nearest Neighbor Searching in Obstructed Spatial Databases. J. Inf. Sci. Eng. 30 (5) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yu Gu