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ORCIDYixiang Fang
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- affiliation: The Chinese University of Hong Kong, Shenzhen, China
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2020 – today
- 2024
[j52]Fengyun Shi, Wen Han
, Yi Zhao, Yixiang Fang, Junxiang Wang:
Adaptive feature selection and optimized multiple histogram construction for reversible data hiding. J. King Saud Univ. Comput. Inf. Sci. 36(7): 102149 (2024)- [j51]Yuanyuan Zeng, Yixiang Fang, Chenhao Ma, Xu Zhou, Kenli Li:
Efficient Distributed Hop-Constrained Path Enumeration on Large-Scale Graphs. Proc. ACM Manag. Data 2(1): 22:1-22:25 (2024) - [j50]Yingli Zhou, Qingshuo Guo, Yixiang Fang, Chenhao Ma:
A Counting-based Approach for Efficient k-Clique Densest Subgraph Discovery. Proc. ACM Manag. Data 2(3): 119 (2024) - [j49]Chunxu Lin, Wensheng Luo, Yixiang Fang, Chenhao Ma, Xilin Liu, Yuchi Ma:
On Efficient Large Sparse Matrix Chain Multiplication. Proc. ACM Manag. Data 2(3): 156 (2024) - [j48]Yuanyuan Zeng, Chenhao Ma, Yixiang Fang:
Distributed Shortest Distance Labeling on Large-Scale Graphs. Proc. VLDB Endow. 17(10): 2641-2653 (2024) - [j47]Wensheng Luo, Yixiang Fang, Chunxu Lin, Yingli Zhou:
Efficient Parallel D-core Decomposition at Scale. Proc. VLDB Endow. 17(10): 2654-2667 (2024) - [j46]Yingli Zhou, Yixiang Fang, Chenhao Ma, Tianci Hou, Xin Huang:
Efficient Maximal Motif-Clique Enumeration over Large Heterogeneous Information Networks. Proc. VLDB Endow. 17(11): 2946-2959 (2024) - [j45]Liuhao Zhu, Yixiang Fang, Yi Zhao, Yi Peng, Junxiang Wang, Jiangqun Ni:
Lite Localization Network and DUE-Based Watermarking for Color Image Copyright Protection. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9311-9325 (2024) - [j44]Yuren Mao, Yu Hao, Xin Cao, Yixiang Fang, Xuemin Lin, Hua Mao, Zhiqiang Xu:
Dynamic Graph Embedding via Meta-Learning. IEEE Trans. Knowl. Data Eng. 36(7): 2967-2979 (2024) - [j43]Chaowei Fang, Lechao Cheng, Yining Mao, Dingwen Zhang, Yixiang Fang, Guanbin Li, Huiyan Qi, Licheng Jiao:
Separating Noisy Samples From Tail Classes for Long-Tailed Image Classification With Label Noise. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16036-16048 (2024) - [j42]Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han, Xiaodong Li:
Accelerating directed densest subgraph queries with software and hardware approaches. VLDB J. 33(1): 207-230 (2024) - [j41]Yichen Xu, Chenhao Ma, Yixiang Fang, Zhifeng Bao:
Efficient and effective algorithms for densest subgraph discovery and maintenance. VLDB J. 33(5): 1427-1452 (2024) - [c37]Yicheng Leng, Chaowei Fang, Gen Li, Yixiang Fang, Guanbin Li:
Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal. AAAI 2024: 2983-2990 - [c36]Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King:
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. AAAI 2024: 8302-8310 - [c35]Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King:
Influential Exemplar Replay for Incremental Learning in Recommender Systems. AAAI 2024: 9368-9376 - [c34]Yucan Guo, Chenhao Ma, Yixiang Fang:
Efficient Core Decomposition Over Large Heterogeneous Information Networks. ICDE 2024: 2393-2406 - [c33]Jiayang Pang, Chenhao Ma, Yixiang Fang:
A Similarity-based Approach for Efficient Large Quasi-clique Detection. WWW 2024: 401-409 - [i18]Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King:
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. CoRR abs/2402.12411 (2024) - [i17]Qiuyang Mang, Jingbang Chen, Hangrui Zhou, Yu Gao, Yingli Zhou, Richard Peng, Yixiang Fang, Chenhao Ma:
Efficient Historical Butterfly Counting in Large Temporal Bipartite Networks via Graph Structure-aware Index. CoRR abs/2406.00344 (2024) - [i16]Yingli Zhou, Qingshuo Guo, Yi Yang, Yixiang Fang, Chenhao Ma, Laks V. S. Lakshmanan:
In-depth Analysis of Densest Subgraph Discovery in a Unified Framework. CoRR abs/2406.04738 (2024) - [i15]Yankai Chen, Yixiang Fang, Yifei Zhang, Chenhao Ma, Yang Hong, Irwin King:
Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing. CoRR abs/2408.09239 (2024) - 2023
- [j40]Zhifeng Bao, Panagiotis Bouros, Reynold Cheng, Byron Choi, Anton Dignös, Wei Ding, Yixiang Fang, Boyang Han, Jilin Hu, Arijit Khan, Wenqing Lin, Xuemin Lin, Cheng Long, Nikos Mamoulis, Jian Pei, Matthias Renz, Shashi Shekhar, Jieming Shi, Eleni Tzirita Zacharatou, Sibo Wang, Xiao Wang, Xue Wang, Raymond Chi-Wing Wong, Da Yan, Xifeng Yan, Bin Yang, Dezhong Yao, Ce Zhang, Peilin Zhao, Rong Zhu:
A Summary of ICDE 2022 Research Session Panels. IEEE Data Eng. Bull. 46(4): 4-17 (2023) - [j39]Yixiang Fang, Kai Tu, Kai Wu, Yi Peng, Yunqing Shi:
PROMISE: A QR Code PROjection Matrix Based Framework for Information Hiding Using Image SEgmentation. KSII Trans. Internet Inf. Syst. 17(2): 471-485 (2023) - [j38]Yi Peng, Yi Zhao, Ningxiong Mao, Junxiang Wang, Yixiang Fang, Tianzhu Zhang, Fengyun Shi:
Color image reversible data hiding based on multi-channel synchronized histogram. J. King Saud Univ. Comput. Inf. Sci. 35(10): 101804 (2023) - [j37]Yichen Xu, Chenhao Ma, Yixiang Fang, Zhifeng Bao:
Efficient and Effective Algorithms for Generalized Densest Subgraph Discovery. Proc. ACM Manag. Data 1(2): 169:1-169:27 (2023) - [j36]Haoxuan Xie, Yixiang Fang, Yuyang Xia, Wensheng Luo, Chenhao Ma:
On Querying Connected Components in Large Temporal Graphs. Proc. ACM Manag. Data 1(2): 170:1-170:27 (2023) - [j35]Yufan Sheng, Xin Cao, Yixiang Fang, Kaiqi Zhao, Jianzhong Qi, Gao Cong, Wenjie Zhang:
WISK: A Workload-aware Learned Index for Spatial Keyword Queries. Proc. ACM Manag. Data 1(2): 187:1-187:27 (2023) - [j34]Wensheng Luo, Qiaoyuan Yang, Yixiang Fang, Xu Zhou:
Efficient Core Maintenance in Large Bipartite Graphs. Proc. ACM Manag. Data 1(3): 208:1-208:26 (2023) - [j33]Yingli Zhou, Yixiang Fang, Wensheng Luo, Yunming Ye:
Influential Community Search over Large Heterogeneous Information Networks. Proc. VLDB Endow. 16(8): 2047-2060 (2023) - [j32]Linhao Luo, Yixiang Fang, Moli Lu, Xin Cao, Xiaofeng Zhang, Wenjie Zhang:
GSim: A Graph Neural Network Based Relevance Measure for Heterogeneous Graphs. IEEE Trans. Knowl. Data Eng. 35(12): 12693-12707 (2023) - [c32]Wensheng Luo, Zhuo Tang, Yixiang Fang, Chenhao Ma, Xu Zhou:
Scalable Algorithms for Densest Subgraph Discovery. ICDE 2023: 287-300 - [c31]Tongfeng Weng, Xu Zhou, Yixiang Fang, Kian-Lee Tan, Kenli Li:
Finding Top-k Important Edges on Bipartite Graphs: Ego-betweenness Centrality-based Approaches. ICDE 2023: 2415-2428 - [c30]Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King:
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. WWW 2023: 3164-3172 - [i14]Yufan Sheng, Xin Cao, Yixiang Fang, Kaiqi Zhao, Jianzhong Qi, Gao Cong, Wenjie Zhang:
WISK: A Workload-aware Learned Index for Spatial Keyword Queries. CoRR abs/2302.14287 (2023) - [i13]Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King:
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. CoRR abs/2304.00241 (2023) - [i12]Wensheng Luo, Chenhao Ma, Yixiang Fang, Laks V. S. Lakshmanan:
A Survey of Densest Subgraph Discovery on Large Graphs. CoRR abs/2306.07927 (2023) - [i11]Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King:
An Augmented Index-based Efficient Community Search for Large Directed Graphs. CoRR abs/2311.06487 (2023) - [i10]Yicheng Leng, Chaowei Fang, Gen Li, Yixiang Fang, Guanbin Li:
Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal. CoRR abs/2312.14383 (2023) - 2022
- [b2]Yixiang Fang, Kai Wang, Xuemin Lin, Wenjie Zhang:
Cohesive Subgraph Search Over Large Heterogeneous Information Networks. Springer Briefs in Computer Science, Springer 2022, ISBN 978-3-030-97567-8, pp. 1-63 - [j31]Xuejing Guo, Yixiang Fang, Junxiang Wang, Wenchao Zeng, Yi Zhao, Tianzhu Zhang, Yun-Qing Shi:
A Domain-independent Dual-image based Robust Reversible Watermarking. KSII Trans. Internet Inf. Syst. 16(12): 4024-4041 (2022) - [j30]Yangqin Jiang, Yixiang Fang, Chenhao Ma, Xin Cao, Chunshan Li:
Effective Community Search over Large Star-Schema Heterogeneous Information Networks. Proc. VLDB Endow. 15(11): 2307-2320 (2022) - [j29]Yixiang Fang, Wensheng Luo, Chenhao Ma:
Densest Subgraph Discovery on Large Graphs: Applications, Challenges, and Techniques. Proc. VLDB Endow. 15(12): 3766-3769 (2022) - [j28]Reynold Cheng, Chenhao Ma, Xiaodong Li, Yixiang Fang, Ye Liu, Victor Y. L. Wong, Esther Lee, Tai Hing Lam, Sai Yin Ho, Man Ping Wang, Weijie Gong, Wentao Ning, Ben Kao:
The Social Technology and Research (STAR) Lab in the University of Hong Kong. SIGMOD Rec. 51(2): 63-68 (2022) - [j27]Chenji Huang, Yixiang Fang, Xuemin Lin, Xin Cao, Wenjie Zhang:
ABLE: Meta-Path Prediction in Heterogeneous Information Networks. ACM Trans. Knowl. Discov. Data 16(4): 73:1-73:21 (2022) - [c29]Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Sibo Wang, Xuemin Lin, Liang Feng:
Constrained Path Search with Submodular Function Maximization. ICDE 2022: 325-337 - [c28]Chenji Huang, Yixiang Fang, Xuemin Lin, Xin Cao, Wenjie Zhang, Maria E. Orlowska:
Estimating Node Importance Values in Heterogeneous Information Networks. ICDE 2022: 846-858 - [c27]Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han:
A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery. SIGMOD Conference 2022: 845-859 - [i9]Linhao Luo, Yixiang Fang, Moli Lu, Xin Cao, Xiaofeng Zhang, Wenjie Zhang:
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs. CoRR abs/2208.06144 (2022) - 2021
- [j26]Yixing Yang, Yixiang Fang, Maria E. Orlowska, Wenjie Zhang, Xuemin Lin:
Efficient Bi-triangle Counting for Large Bipartite Networks. Proc. VLDB Endow. 14(6): 984-996 (2021) - [j25]Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin:
Efficient Directed Densest Subgraph Discovery. SIGMOD Rec. 50(1): 33-40 (2021) - [j24]Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang:
CP-GNN: A Software for Community Detection in Heterogeneous Information Networks. Softw. Impacts 10: 100169 (2021) - [j23]Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin:
On Directed Densest Subgraph Discovery. ACM Trans. Database Syst. 46(4): 13:1-13:45 (2021) - [c26]Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang:
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model. CIKM 2021: 1170-1180 - [c25]Han Zhang, Yu Hao, Xin Cao, Yixiang Fang, Won-Yong Shin, Wei Wang:
Relation Prediction via Graph Neural Network in Heterogeneous Information Networks with Missing Type Information. CIKM 2021: 2517-2526 - [c24]Yu Hao, Xin Cao, Yufan Sheng, Yixiang Fang, Wei Wang:
KS-GNN: Keywords Search over Incomplete Graphs via Graphs Neural Network. NeurIPS 2021: 1700-1712 - [c23]Yixiang Fang, Kai Wang, Xuemin Lin, Wenjie Zhang:
Cohesive Subgraph Search over Big Heterogeneous Information Networks: Applications, Challenges, and Solutions. SIGMOD Conference 2021: 2829-2838 - [i8]Shuang Li, Lu Wang, Xinyun Chen, Yixiang Fang, Yan Song:
Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View. CoRR abs/2106.13097 (2021) - [i7]Feixiang Wang, Yixiang Fang, Yan Song, Shuang Li, Xinyun Chen:
A Note on General Statistics of Publicly Accessible Knowledge Bases. CoRR abs/2107.03572 (2021) - [i6]Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang:
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model. CoRR abs/2109.02058 (2021) - 2020
- [j22]Yixiang Fang, Yixing Yang, Wenjie Zhang, Xuemin Lin, Xin Cao:
Effective and Efficient Community Search over Large Heterogeneous Information Networks. Proc. VLDB Endow. 13(6): 854-867 (2020) - [j21]Hongmei Chen, Yixiang Fang, Ying Zhang, Wenjie Zhang, Lizhen Wang:
ESPM: Efficient Spatial Pattern Matching. IEEE Trans. Knowl. Data Eng. 32(6): 1227-1233 (2020) - [j20]Xiaojun Chen, Renjie Chen, Qingyao Wu, Yixiang Fang, Feiping Nie, Joshua Zhexue Huang:
LABIN: Balanced Min Cut for Large-Scale Data. IEEE Trans. Neural Networks Learn. Syst. 31(3): 725-736 (2020) - [j19]Yixiang Fang, Xin Huang, Lu Qin, Ying Zhang, Wenjie Zhang, Reynold Cheng, Xuemin Lin:
A survey of community search over big graphs. VLDB J. 29(1): 353-392 (2020) - [j18]Yixiang Fang, Xin Huang, Lu Qin, Ying Zhang, Wenjie Zhang, Reynold Cheng, Xuemin Lin:
Correction: A survey of community search over big graphs. VLDB J. 29(5): 1219 (2020) - [c22]Yixiang Fang, Kai Tu, Kai Wu, Yi Peng, Junxiang Wang, Changlong Lu:
Securing Data Communication of Internet of Things in 5G Using Network Steganography. ICAIS (2) 2020: 593-603 - [c21]Yixing Yang, Yixiang Fang, Xuemin Lin, Wenjie Zhang:
Effective and Efficient Truss Computation over Large Heterogeneous Information Networks. ICDE 2020: 901-912 - [c20]Boxuan Li, Reynold Cheng, Jiafeng Hu, Yixiang Fang, Min Ou, Ruibang Luo, Kevin Chen-Chuan Chang, Xuemin Lin:
MC-Explorer: Analyzing and Visualizing Motif-Cliques on Large Networks. ICDE 2020: 1722-1725 - [c19]Hongmei Chen, Yixiang Fang, Ying Zhang, Wenjie Zhang, Lizhen Wang:
ESPM: Efficient Spatial Pattern Matching (Extended Abstract). ICDE 2020: 2038-2039 - [c18]Yu Hao, Xin Cao, Yixiang Fang, Xike Xie, Sibo Wang:
Inductive Link Prediction for Nodes Having Only Attribute Information. IJCAI 2020: 1209-1215 - [c17]Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Bin Yao:
Optimal Region Search with Submodular Maximization. IJCAI 2020: 1216-1222 - [c16]Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King:
Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. IJCAI 2020: 3544-3550 - [c15]Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin:
Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs. SIGMOD Conference 2020: 1051-1066 - [i5]Yu Hao, Xin Cao, Yixiang Fang, Xike Xie, Sibo Wang:
Inductive Link Prediction for Nodes Having Only Attribute Information. CoRR abs/2007.08053 (2020) - [i4]Linhao Luo, Liqi Yang, Ju Xin, Yixiang Fang, Xiaofeng Zhang, Xiaofei Yang, Kai Chen, Zhiyuan Zhang, Kai Liu:
RRCN: A Reinforced Random Convolutional Network based Reciprocal Recommendation Approach for Online Dating. CoRR abs/2011.12586 (2020)
2010 – 2019
- 2019
- [j17]Yixiang Fang, Kaiqiang Yu, Reynold Cheng, Laks V. S. Lakshmanan, Xuemin Lin:
Efficient Algorithms for Densest Subgraph Discovery. Proc. VLDB Endow. 12(11): 1719-1732 (2019) - [j16]Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Tobias Grubenmann, Yixiang Fang, Xiaodong Li:
LINC: A Motif Counting Algorithm for Uncertain Graphs. Proc. VLDB Endow. 13(2): 155-168 (2019) - [j15]Yun Li, Yixiang Fang, Reynold Cheng, Wenjie Zhang:
Spatial pattern matching: a new direction for finding spatial objects. ACM SIGSPATIAL Special 11(1): 3-12 (2019) - [j14]Yixiang Fang, Zheng Wang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu, Xiaojun Chen:
On Spatial-Aware Community Search. IEEE Trans. Knowl. Data Eng. 31(4): 783-798 (2019) - [j13]Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang:
Exploring Communities in Large Profiled Graphs. IEEE Trans. Knowl. Data Eng. 31(8): 1624-1629 (2019) - [j12]Yixiang Fang, Zhongran Wang, Reynold Cheng, Hongzhi Wang, Jiafeng Hu:
Effective and Efficient Community Search Over Large Directed Graphs. IEEE Trans. Knowl. Data Eng. 31(11): 2093-2107 (2019) - [j11]Yixiang Fang, Yun Li, Reynold Cheng, Nikos Mamoulis, Gao Cong:
Evaluating pattern matching queries for spatial databases. VLDB J. 28(5): 649-673 (2019) - [c14]Xiaojun Chen, Chao Guo, Yixiang Fang, Rui Mao:
Structured Spectral Clustering of PurTree Data. DASFAA (2) 2019: 485-501 - [c13]Ran Wang, Yixiang Fang, Xing Feng:
Efficient Parallel Computing of Graph Edit Distance. ICDE Workshops 2019: 233-240 - [c12]Jiafeng Hu, Reynold Cheng, Kevin Chen-Chuan Chang, Aravind Sankar, Yixiang Fang, Brian Y. H. Lam:
Discovering Maximal Motif Cliques in Large Heterogeneous Information Networks. ICDE 2019: 746-757 - [c11]Yixiang Fang, Zhongran Wang, Reynold Cheng, Hongzhi Wang, Jiafeng Hu:
Effective and Efficient Community Search Over Large Directed Graphs (Extended Abstract). ICDE 2019: 2157-2158 - [c10]Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang:
Exploring Communities in Large Profiled Graphs (Extended Abstract). ICDE 2019: 2159-2160 - [i3]Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang:
Exploring Communities in Large Profiled Graphs. CoRR abs/1901.05451 (2019) - [i2]Yixiang Fang, Xin Huang, Lu Qin, Ying Zhang, Wenjie Zhang, Reynold Cheng, Xuemin Lin:
A Survey of Community Search Over Big Graphs. CoRR abs/1904.12539 (2019) - [i1]Yixiang Fang, Kaiqiang Yu, Reynold Cheng, Laks V. S. Lakshmanan, Xuemin Lin:
Efficient Algorithms for Densest Subgraph Discovery. CoRR abs/1906.00341 (2019) - 2018
- [j10]Yixiang Fang, Xiaoqin Xie, Xiaofeng Zhang, Reynold Cheng, Zhiqiang Zhang:
STEM: a suffix tree-based method for web data records extraction. Knowl. Inf. Syst. 55(2): 305-331 (2018) - [j9]Xiaojun Chen, Yixiang Fang, Min Yang, Feiping Nie, Zhou Zhao, Joshua Zhexue Huang:
PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data. IEEE Trans. Knowl. Data Eng. 30(3): 559-572 (2018) - [c9]Xiaodong Li, Reynold Cheng, Yixiang Fang, Jiafeng Hu, Silviu Maniu:
Scalable Evaluation of k-NN Queries on Large Uncertain Graphs. EDBT 2018: 181-192 - [c8]Yixiang Fang, Reynold Cheng, Gao Cong, Nikos Mamoulis, Yun Li:
On Spatial Pattern Matching. ICDE 2018: 293-304 - [c7]Yixiang Fang, Reynold Cheng, Jikun Wang, Lukito Budiman, Gao Cong, Nikos Mamoulis:
SpaceKey: Exploring Patterns in Spatial Databases. ICDE 2018: 1577-1580 - 2017
- [b1]Yixiang Fang:
Effective and efficient community search over large attributed graphs. University of Hong Kong, Pokfulam, Hong Kong, 2017 - [j8]Yixiang Fang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu:
Effective Community Search over Large Spatial Graphs. Proc. VLDB Endow. 10(6): 709-720 (2017) - [j7]Yixiang Fang, Reynold Cheng, Siqiang Luo, Jiafeng Hu, Kai Huang:
C-Explorer: Browsing Communities in Large Graphs. Proc. VLDB Endow. 10(12): 1885-1888 (2017) - [j6]Jiafeng Hu, Xiaowei Wu, Reynold Cheng, Siqiang Luo, Yixiang Fang:
On Minimal Steiner Maximum-Connected Subgraph Queries. IEEE Trans. Knowl. Data Eng. 29(11): 2455-2469 (2017) - [j5]Yixiang Fang, Reynold Cheng, Yankai Chen, Siqiang Luo, Jiafeng Hu:
Effective and efficient attributed community search. VLDB J. 26(6): 803-828 (2017) - [c6]Jiafeng Hu, Reynold Cheng, Zhipeng Huang, Yixiang Fang, Siqiang Luo:
On Embedding Uncertain Graphs. CIKM 2017: 157-166 - [c5]Yixiang Fang, Reynold Cheng:
On Attributed Community Search. MATES@VLDB 2017: 1-21 - 2016
- [j4]Yixiang Fang, Reynold Cheng, Siqiang Luo, Jiafeng Hu:
Effective Community Search for Large Attributed Graphs. Proc. VLDB Endow. 9(12): 1233-1244 (2016) - [j3]Yixiang Fang, Reynold Cheng, Wenbin Tang, Silviu Maniu, Xuan S. Yang:
Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data. IEEE Trans. Knowl. Data Eng. 28(3): 785-800 (2016) - [c4]Jiafeng Hu, Xiaowei Wu, Reynold Cheng, Siqiang Luo, Yixiang Fang:
Querying Minimal Steiner Maximum-Connected Subgraphs in Large Graphs. CIKM 2016: 1241-1250 - [c3]Yixiang Fang, Reynold Cheng, Wenbin Tang, Silviu Maniu, Xuan S. Yang:
Scalable algorithms for nearest-neighbor joins on big trajectory data. ICDE 2016: 1528-1529 - 2015
- [j2]Zhenguo Li, Yixiang Fang, Qin Liu, Jiefeng Cheng, Reynold Cheng, John C. S. Lui:
Walking in the Cloud: Parallel SimRank at Scale. Proc. VLDB Endow. 9(1): 24-35 (2015) - 2014
- [j1]Yixiang Fang, Haijun Zhang, Yunming Ye, Xutao Li:
Detecting hot topics from Twitter: A multiview approach. J. Inf. Sci. 40(5): 578-593 (2014) - [p1]Reynold Cheng, Yixiang Fang, Matthias Renz:
Uncertain Data Classification. Data Classification: Algorithms and Applications 2014: 417-444
2000 – 2009
- 2009
- [c2]Yixiang Fang, Enfu Liu, Jiangyan Jin, Lanzhi Gu:
Domain knowledge driving in intelligent design of series mechanical product. CAD/Graphics 2009: 422-428 - 2008
- [c1]Yixiang Fang, Enfu Liu, Jiangyan Jin, Lanzhi Gu, Jinduo Zheng:
Intelligent Design of Series Product Based on Template Case. CSSE (1) 2008: 243-250
Coauthor Index
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