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ORCIDJeffrey Xu Yu
于旭
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- unicode name: 于旭
- affiliation: Chinese University of Hong Kong, Hong Kong
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2020 – today
- 2024
[j220]Yue Pang
, Lei Zou, Jeffrey Xu Yu, Linglin Yang:
Materialized View Selection & View-Based Query Planning for Regular Path Queries. Proc. ACM Manag. Data 2(3): 152 (2024)- [j219]Xiangyang Gou, Xinyi Ye, Lei Zou, Jeffrey Xu Yu:
LM-SRPQ: Efficiently Answering Regular Path Query in Streaming Graphs. Proc. VLDB Endow. 17(5): 1047-1059 (2024) - [j218]Qiyan Li, Jeffrey Xu Yu:
Fast Local Subgraph Counting. Proc. VLDB Endow. 17(8): 1967-1980 (2024) - [j217]Shuheng Fang, Kangfei Zhao, Yu Rong, Zhixun Li, Jeffrey Xu Yu:
Inductive Attributed Community Search: to Learn Communities across Graphs. Proc. VLDB Endow. 17(10): 2576-2589 (2024) - [j216]Junyong Yang, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu:
Evolution Forest Index: Towards Optimal Temporal $k$-Core Component Search via Time-Topology Isomorphic Computation. Proc. VLDB Endow. 17(11): 2840-2853 (2024) - [j215]Xinrui Wang, Yiran Wang, Xuemin Lin, Jeffrey Xu Yu, Hong Gao, Xiuzhen Cheng, Dongxiao Yu:
Efficient Betweenness Centrality Computation over Large Heterogeneous Information Networks. Proc. VLDB Endow. 17(11): 3360-3372 (2024) - [j214]Lijun Chang, Rashmika Gamage, Jeffrey Xu Yu:
Efficient k-Clique Count Estimation with Accuracy Guarantee. Proc. VLDB Endow. 17(11): 3707-3719 (2024) - [j213]Ming Zhong, Junyong Yang, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu:
A Unified and Scalable Algorithm Framework of User-Defined Temporal $(k,\mathcal {X})$(k,X)-Core Query. IEEE Trans. Knowl. Data Eng. 36(7): 2831-2845 (2024) - [j212]Pengpeng Qiao, Zhiwei Zhang, Yuntong Li, Ye Yuan, Shuliang Wang, Guoren Wang, Jeffrey Xu Yu:
AStore: Uniformed Adaptive Learned Index and Cache for RDMA-Enabled Key-Value Store. IEEE Trans. Knowl. Data Eng. 36(7): 2877-2894 (2024) - [j211]Yikai Zhang, Jeffrey Xu Yu, Ying Zhang, Lu Qin:
Maintaining Top-$t$ Cores in Dynamic Graphs. IEEE Trans. Knowl. Data Eng. 36(9): 4766-4780 (2024) - [j210]Kai Yao, Lijun Chang, Jeffrey Xu Yu:
Identifying similar-bicliques in bipartite graphs. VLDB J. 33(3): 703-726 (2024) - [c278]YuAng Chen, Jeffrey Xu Yu:
Accelerating SpMV for Scale-Free Graphs with Optimized Bins. ICDE 2024: 2407-2420 - [c277]Yijie Zhou, Shufeng Gong, Feng Yao, Hanzhang Chen, Song Yu, Pengxi Liu, Yanfeng Zhang, Ge Yu, Jeffrey Xu Yu:
Fast Iterative Graph Computing with Updated Neighbor States. ICDE 2024: 2449-2462 - [c276]Chuhan Hu, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Ting Yu, Hongyang Chen, Mengchi Liu, Jeffrey Xu Yu:
Querying Cohesive Subgraph Regarding Span-Constrained Triangles on Temporal Graphs. ICDE 2024: 3338-3350 - [c275]YuAng Chen, Jeffrey Xu Yu:
Bitmap-Based Sparse Matrix-Vector Multiplication with Tensor Cores. ICPP 2024: 1135-1144 - [c274]Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li:
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs. KDD 2024: 1725-1735 - [c273]Zhixun Li, Yushun Dong, Qiang Liu, Jeffrey Xu Yu:
Rethinking Fair Graph Neural Networks from Re-balancing. KDD 2024: 1736-1745 - [c272]Jia Li, Xiangguo Sun, Yuhan Li, Zhixun Li, Hong Cheng, Jeffrey Xu Yu:
Graph Intelligence with Large Language Models and Prompt Learning. KDD 2024: 6545-6554 - [i43]Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li:
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs. CoRR abs/2402.11235 (2024) - [i42]Shuheng Fang, Kangfei Zhao, Yu Rong, Zhixun Li, Jeffrey Xu Yu:
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction. CoRR abs/2403.17740 (2024) - [i41]Zhixun Li, Yushun Dong, Qiang Liu, Jeffrey Xu Yu:
Rethinking Fair Graph Neural Networks from Re-balancing. CoRR abs/2407.11624 (2024) - [i40]Yijie Zhou, Shufeng Gong, Feng Yao, Hanzhang Chen, Song Yu, Pengxi Liu, Yanfeng Zhang, Ge Yu, Jeffrey Xu Yu:
Fast Iterative Graph Computing with Updated Neighbor States. CoRR abs/2407.14544 (2024) - [i39]Dingshuo Chen, Zhixun Li, Yuyan Ni, Guibin Zhang, Ding Wang, Qiang Liu, Shu Wu, Jeffrey Xu Yu, Liang Wang:
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization. CoRR abs/2409.01081 (2024) - 2023
- [j209]Kangfei Zhao, Zongyan He, Jeffrey Xu Yu, Yu Rong:
Learning with Small Data: Subgraph Counting Queries. Data Sci. Eng. 8(3): 292-305 (2023) - [j208]Rongjian Yang, Zhijie Zhang, Weiguo Zheng, Jeffrey Xu Yu:
Fast Continuous Subgraph Matching over Streaming Graphs via Backtracking Reduction. Proc. ACM Manag. Data 1(1): 15:1-15:26 (2023) - [j207]Junyong Yang, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu:
Scalable Time-Range k-Core Query on Temporal Graphs. Proc. VLDB Endow. 16(5): 1168-1180 (2023) - [j206]Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang:
Finding Critical Users in Social Communities via Graph Convolutions. IEEE Trans. Knowl. Data Eng. 35(1): 456-468 (2023) - [j205]Junfeng Zhou, Jeffrey Xu Yu, Yaxian Qiu, Xian Tang, Ziyang Chen, Ming Du:
Fast Reachability Queries Answering Based on $\mathsf{RCN}$RCN Reduction. IEEE Trans. Knowl. Data Eng. 35(3): 2590-2609 (2023) - [j204]Qiyan Li, Yuanyuan Zhu, Junhao Ye, Jeffrey Xu Yu:
Skyline Group Queries in Large Road-Social Networks Revisited. IEEE Trans. Knowl. Data Eng. 35(3): 3115-3129 (2023) - [j203]Yunkai Lou, Chaokun Wang, Tiankai Gu, Hao Feng, Jun Chen, Jeffrey Xu Yu:
Time-topology analysis on temporal graphs. VLDB J. 32(4): 815-843 (2023) - [j202]Kangfei Zhao, Jeffrey Xu Yu, Qiyan Li, Hao Zhang, Yu Rong:
Learned sketch for subgraph counting: a holistic approach. VLDB J. 32(5): 937-962 (2023) - [c271]Yihan Geng, Kunyu Wang, Ziqi Liu, Michael Yu, Jeffrey Xu Yu:
Influence Maximization Revisited. ADC 2023: 356-370 - [c270]Kangfei Zhao, Yu Rong, Biaobin Jiang, Jianheng Tang, Hengtong Zhang, Jeffrey Xu Yu, Peilin Zhao:
Geometric Graph Learning for Protein Mutation Effect Prediction. CIKM 2023: 3412-3422 - [c269]Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Yu Rong:
Learning with Small Data: Subgraph Counting Queries. DASFAA (3) 2023: 308-319 - [c268]You Peng, Jeffrey Xu Yu, Sibo Wang:
PSPC: Efficient Parallel Shortest Path Counting on Large-Scale Graphs. ICDE 2023: 896-908 - [c267]Shuheng Fang, Kangfei Zhao, Guanghua Li, Jeffrey Xu Yu:
Community Search: A Meta-Learning Approach. ICDE 2023: 2358-2371 - [c266]Zhixun Li, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu:
GSLB: The Graph Structure Learning Benchmark. NeurIPS 2023 - [i38]Junyong Yang, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu:
Scalable Time-Range k-Core Query on Temporal Graphs(Full Version). CoRR abs/2301.03770 (2023) - [i37]Rongjian Yang, Zhijie Zhang, Weiguo Zheng, Jeffrey Xu Yu:
Fast Continuous Subgraph Matching over Streaming Graphs via Backtracking Reduction. CoRR abs/2304.12610 (2023) - [i36]Ming Zhong, Junyong Yang, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu:
Towards a "Swiss Army Knife" for Scalable User-Defined Temporal (k, X)-Core Analysis. CoRR abs/2309.00361 (2023) - [i35]Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu:
GSLB: The Graph Structure Learning Benchmark. CoRR abs/2310.05174 (2023) - [i34]Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu:
A Survey of Graph Meets Large Language Model: Progress and Future Directions. CoRR abs/2311.12399 (2023) - 2022
- [j201]Mengshi Li, Jian Peng, Shenggen Ju, Quanhui Liu, Hongyou Li, Weifa Liang, Jeffrey Xu Yu, Wenzheng Xu:
Efficient algorithms for finding diversified top-k structural hole spanners in social networks. Inf. Sci. 602: 236-258 (2022) - [j200]Xin Chen, You Peng, Sibo Wang, Jeffrey Xu Yu:
DLCR: Efficient Indexing for Label-Constrained Reachability Queries on Large Dynamic Graphs. Proc. VLDB Endow. 15(8): 1645-1657 (2022) - [j199]Kai Yao, Lijun Chang, Jeffrey Xu Yu:
Identifying Similar-Bicliques in Bipartite Graphs. Proc. VLDB Endow. 15(11): 3085-3097 (2022) - [j198]Hongchao Qin, Rong-Hua Li, Guoren Wang, Xin Huang, Ye Yuan, Jeffrey Xu Yu:
Mining Stable Communities in Temporal Networks by Density-Based Clustering. IEEE Trans. Big Data 8(3): 671-684 (2022) - [j197]Yuanyuan Zhu, Qian Zhang, Lu Qin, Lijun Chang, Jeffrey Xu Yu:
Cohesive Subgraph Search Using Keywords in Large Networks. IEEE Trans. Knowl. Data Eng. 34(1): 178-191 (2022) - [j196]Taotao Cai, Jianxin Li, Ajmal Mian, Rong-Hua Li, Timos Sellis, Jeffrey Xu Yu:
Target-Aware Holistic Influence Maximization in Spatial Social Networks. IEEE Trans. Knowl. Data Eng. 34(4): 1993-2007 (2022) - [j195]Rong-Hua Li, Qiushuo Song, Xiaokui Xiao, Lu Qin, Guoren Wang, Jeffrey Xu Yu, Rui Mao:
I/O-Efficient Algorithms for Degeneracy Computation on Massive Networks. IEEE Trans. Knowl. Data Eng. 34(7): 3335-3348 (2022) - [j194]Can Lu, Jeffrey Xu Yu, Hao Wei, Yikai Zhang:
Enumerating Maximum Cliques in Massive Graphs. IEEE Trans. Knowl. Data Eng. 34(9): 4215-4230 (2022) - [j193]Zhiwei Zhang, Jeffrey Xu Yu, Guoren Wang, Ye Yuan, Lisi Chen:
Key-core: cohesive keyword subgraph exploration in large graphs. World Wide Web 25(2): 831-856 (2022) - [c265]Zhao Lu, Yuanyuan Zhu, Ming Zhong, Jeffrey Xu Yu:
On Time-optimal (k, p)-core Community Search in Dynamic Graphs. ICDE 2022: 1396-1407 - [c264]Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang:
Finding Critical Users in Social Communities via Graph Convolutions (Extended Abstract). ICDE 2022: 1539-1540 - [c263]Junfeng Zhou, Jeffrey Xu Yu, Yaxian Qiu, Xian Tang, Ziyang Chen, Ming Du:
Fast Reachability Queries Answering based on RCN Reduction (Extended abstract). ICDE 2022: 1543-1544 - [c262]You Peng, Song Bian, Rui Li, Sibo Wang, Jeffrey Xu Yu:
Finding Top-r Influential Communities under Aggregation Functions. ICDE 2022: 1941-1954 - [c261]Hao Zhang, Qiyan Li, Kangfei Zhao, Jeffrey Xu Yu, Yuanyuan Zhu:
How Learning Can Help Complex Cyclic Join Decomposition. ICDE 2022: 3138-3141 - [c260]Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Rui Li, Hao Zhang:
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process. SIGMOD Conference 2022: 973-987 - [c259]Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, Kangfei Zhao:
Parallel Query Processing: To Separate Communication from Computation. SIGMOD Conference 2022: 1447-1461 - [c258]Yikai Zhang, Jeffrey Xu Yu:
Relative Subboundedness of Contraction Hierarchy and Hierarchical 2-Hop Index in Dynamic Road Networks. SIGMOD Conference 2022: 1992-2005 - [i33]Shuheng Fang, Kangfei Zhao, Guanghua Li, Jeffrey Xu Yu:
Community Search: Learn from Small Data. CoRR abs/2201.00288 (2022) - [i32]You Peng, Song Bian, Rui Li, Sibo Wang, Jeffrey Xu Yu:
Finding Top-r Influential Communities under Aggregation Functions. CoRR abs/2207.01029 (2022) - [i31]You Peng, Jeffrey Xu Yu, Sibo Wang:
PSPC: Efficient Parallel Shortest Path Counting on Large-Scale Graphs. CoRR abs/2212.00977 (2022) - 2021
- [j192]Yunkai Lou, Chaokun Wang, Tiankai Gu, Hao Feng, Jun Chen, Jeffrey Xu Yu:
Time-Topology Analysis. Proc. VLDB Endow. 14(13): 3322-3334 (2021) - [j191]Rong-Hua Li, Qiangqiang Dai, Lu Qin, Guoren Wang, Xiaokui Xiao, Jeffrey Xu Yu, Shaojie Qiao:
Signed Clique Search in Signed Networks: Concepts and Algorithms. IEEE Trans. Knowl. Data Eng. 33(2): 710-727 (2021) - [j190]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) - [j189]Kangfei Zhao, Jiao Su, Jeffrey Xu Yu, Hao Zhang:
SQL-G: Efficient Graph Analytics by SQL. IEEE Trans. Knowl. Data Eng. 33(5): 2237-2251 (2021) - [j188]Yuyang Dong, Chuan Xiao, Hanxiong Chen, Jeffrey Xu Yu, Kunihiro Takeoka, Masafumi Oyamada, Hiroyuki Kitagawa:
Continuous top-k spatial-keyword search on dynamic objects. VLDB J. 30(2): 141-161 (2021) - [c257]Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang:
Towards Expectation-Maximization by SQL in RDBMS. DASFAA (2) 2021: 778-794 - [c256]Hao Zhang, Miao Qiao, Jeffrey Xu Yu, Hong Cheng:
Fast Distributed Complex Join Processing. ICDE 2021: 2087-2092 - [c255]Kangfei Zhao, Shengcai Liu, Jeffrey Xu Yu, Yu Rong:
Towards Feature-free TSP Solver Selection: A Deep Learning Approach. IJCNN 2021: 1-8 - [c254]Can Lu, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng:
Graph Iso/Auto-morphism: A Divide-&-Conquer Approach. SIGMOD Conference 2021: 1195-1207 - [c253]Kangfei Zhao, Jeffrey Xu Yu, Hao Zhang, Qiyan Li, Yu Rong:
A Learned Sketch for Subgraph Counting. SIGMOD Conference 2021: 2142-2155 - [c252]Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Wenbing Huang, Junzhou Huang, Hao Zhang:
Graph Ordering: Towards the Optimal by Learning. WISE (1) 2021: 423-437 - [i30]Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang:
Towards Expectation-Maximization by SQL in RDBMS. CoRR abs/2101.09094 (2021) - [i29]Hao Zhang, Miao Qiao, Jeffrey Xu Yu, Hong Cheng:
Fast Distributed Complex Join Processing. CoRR abs/2102.13370 (2021) - [i28]Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Hao Zhang:
Uncertainty-aware Cardinality Estimation by Neural Network Gaussian Process. CoRR abs/2107.08706 (2021) - 2020
- [j187]Yingxia Shao, Yanyan Shen, Bin Cui, Jeffrey Xu Yu:
DASFAA 20202 Special Issue Editorial. Data Sci. Eng. 5(4): 331-332 (2020) - [j186]Song Bian, Qintian Guo, Sibo Wang, Jeffrey Xu Yu:
Efficient Algorithms for Budgeted Influence Maximization on Massive Social Networks. Proc. VLDB Endow. 13(9): 1498-1510 (2020) - [j185]Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, Kangfei Zhao, Hong Cheng:
Distributed Subgraph Counting: A General Approach. Proc. VLDB Endow. 13(11): 2493-2507 (2020) - [j184]Ronghua Li, Sen Gao, Lu Qin, Guoren Wang, Weihua Yang, Jeffrey Xu Yu:
Ordering Heuristics for k-clique Listing. Proc. VLDB Endow. 13(11): 2536-2548 (2020) - [j183]Yuanyuan Zhu, Lu Qin, Jeffrey Xu Yu, Hong Cheng:
Answering Top-$k$ k Graph Similarity Queries in Graph Databases. IEEE Trans. Knowl. Data Eng. 32(8): 1459-1474 (2020) - [j182]Rong-Hua Li, Lu Qin, Fanghua Ye, Guoren Wang, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao, Zibin Zheng:
Finding skyline communities in multi-valued networks. VLDB J. 29(6): 1407-1432 (2020) - [j181]Xinjue Wang, Ke Deng, Jianxin Li, Jeffrey Xu Yu, Christian S. Jensen, Xiaochun Yang:
Efficient targeted influence minimization in big social networks. World Wide Web 23(4): 2323-2340 (2020) - [c251]Yuanyuan Zhu, Jian He, Junhao Ye, Lu Qin, Xin Huang, Jeffrey Xu Yu:
When Structure Meets Keywords: Cohesive Attributed Community Search. CIKM 2020: 1913-1922 - [c250]Qiyan Li, Yuanyuan Zhu, Jeffrey Xu Yu:
Skyline Cohesive Group Queries in Large Road-social Networks. ICDE 2020: 397-408 - [c249]Weiguo Zheng, Jiewei Gu, Peng Peng, Jeffrey Xu Yu:
Efficient Weighted Independent Set Computation over Large Graphs. ICDE 2020: 1970-1973 - [c248]Lu Chen, Chengfei Liu, Rui Zhou, Jiajie Xu, Jeffrey Xu Yu, Jianxin Li:
Finding Effective Geo-social Group for Impromptu Activities with Diverse Demands. KDD 2020: 698-708 - [c247]Yikai Zhang, Jeffrey Xu Yu:
Hub Labeling for Shortest Path Counting. SIGMOD Conference 2020: 1813-1828 - [e22]Yunmook Nah, Bin Cui, Sang-Won Lee, Jeffrey Xu Yu, Yang-Sae Moon, Steven Euijong Whang:
Database Systems for Advanced Applications - 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24-27, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12112, Springer 2020, ISBN 978-3-030-59409-1 [contents] - [e21]Yunmook Nah, Bin Cui, Sang-Won Lee, Jeffrey Xu Yu, Yang-Sae Moon, Steven Euijong Whang:
Database Systems for Advanced Applications - 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24-27, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12113, Springer 2020, ISBN 978-3-030-59415-2 [contents] - [e20]Yunmook Nah, Bin Cui, Sang-Won Lee, Jeffrey Xu Yu, Yang-Sae Moon, Steven Euijong Whang:
Database Systems for Advanced Applications - 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24-27, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12114, Springer 2020, ISBN 978-3-030-59418-3 [contents] - [i27]Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Junzhou Huang, Hao Zhang:
Graph Ordering: Towards the Optimal by Learning. CoRR abs/2001.06631 (2020) - [i26]Wei Shi, Siyuan Zhang, Zhiwei Zhang, Hong Cheng, Jeffrey Xu Yu:
Joint Embedding in Named Entity Linking on Sentence Level. CoRR abs/2002.04936 (2020) - [i25]Kangfei Zhao, Shengcai Liu, Yu Rong, Jeffrey Xu Yu:
Leveraging TSP Solver Complementarity via Deep Learning. CoRR abs/2006.00715 (2020)
2010 – 2019
- 2019
- [j180]Weiguo Zheng, Hong Cheng, Jeffrey Xu Yu, Lei Zou, Kangfei Zhao:
Interactive natural language question answering over knowledge graphs. Inf. Sci. 481: 141-159 (2019) - [j179]Wenzheng Xu, Tong Li, Weifa Liang, Jeffrey Xu Yu, Ning Yang, Shaobing Gao:
Identifying structural hole spanners to maximally block information propagation. Inf. Sci. 505: 100-126 (2019) - [j178]Xuguang Ren, Junhu Wang, Wook-Shin Han, Jeffrey Xu Yu:
Fast and Robust Distributed Subgraph Enumeration. Proc. VLDB Endow. 12(11): 1344-1356 (2019) - [j177]Dong Wen, Lu Qin, Ying Zhang, Xuemin Lin, Jeffrey Xu Yu:
I/O Efficient Core Graph Decomposition: Application to Degeneracy Ordering. IEEE Trans. Knowl. Data Eng. 31(1): 75-90 (2019) - [j176]Bingqing Lyu, Lu Qin, Xuemin Lin, Lijun Chang, Jeffrey Xu Yu:
Supergraph Search in Graph Databases via Hierarchical Feature-Tree. IEEE Trans. Knowl. Data Eng. 31(2): 385-400 (2019) - [j175]Wenkai Jiang, Jianzhong Qi, Jeffrey Xu Yu, Jin Huang, Rui Zhang:
HyperX: A Scalable Hypergraph Framework. IEEE Trans. Knowl. Data Eng. 31(5): 909-922 (2019) - [j174]Ke Deng, Yanhua Li, Jia Zeng, Mingxuan Yuan, Jun Luo, Jeffrey Xu Yu:
User Preference Analysis for Most Frequent Peer/Dominator. IEEE Trans. Knowl. Data Eng. 31(7): 1412-1425 (2019) - [j173]Yu-Xuan Qiu, Rong-Hua Li, Jianxin Li, Shaojie Qiao, Guoren Wang, Jeffrey Xu Yu, Rui Mao:
Efficient Structural Clustering on Probabilistic Graphs. IEEE Trans. Knowl. Data Eng. 31(10): 1954-1968 (2019) - [j172]Chaokun Wang, Changping Wang, Zheng Wang, Xiaojun Ye, Jeffrey Xu Yu, Bin Wang:
DeepDirect: Learning Directions of Social Ties with Edge-Based Network Embedding. IEEE Trans. Knowl. Data Eng. 31(12): 2277-2291 (2019) - [j171]Ye Yuan, Xiang Lian, Lei Chen, Guoren Wang, Jeffrey Xu Yu, Yishu Wang, Yuliang Ma:
GCache: Neighborhood-Guided Graph Caching in a Distributed Environment. IEEE Trans. Parallel Distributed Syst. 30(11): 2463-2477 (2019) - [j170]Nur Al Hasan Haldar, Jianxin Li, Mark Reynolds, Timos Sellis, Jeffrey Xu Yu:
Location prediction in large-scale social networks: an in-depth benchmarking study. VLDB J. 28(5): 623-648 (2019) - [j169]Xi Guo, Jeffrey Xu Yu, Rong-Hua Li, Xue Miao:
Direction-based multiple views on data. World Wide Web 22(1): 185-219 (2019) - [c246]Weiguo Zheng, Chengzhi Piao, Hong Cheng, Jeffrey Xu Yu:
Computing a Near-Maximum Independent Set in Dynamic Graphs. ICDE 2019: 76-87 - [c245]Zechao Shang, Jeffrey Xu Yu, Zhiwei Zhang:
TuFast: A Lightweight Parallelization Library for Graph Analytics. ICDE 2019: 710-721 - [c244]Rong-Hua Li, Qiangqiang Dai, Guoren Wang, Zhong Ming, Lu Qin, Jeffrey Xu Yu:
Improved Algorithms for Maximal Clique Search in Uncertain Networks. ICDE 2019: 1178-1189 - [c243]Chaokun Wang, Changping Wang, Zheng Wang, Xiaojun Ye, Jeffrey Xu Yu, Bin Wang:
DeepDirect: Learning Directions of Social Ties with Edge-Based Network Embedding (Extended Abstract). ICDE