Yixiang Fang

According to our database, Yixiang Fang authored at least 101 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A novel robust digital image watermarking scheme based on attention U-Net++ structure.

Liuhao Zhu, Yi Zhao, Yixiang Fang, Junxiang Wang

Vis. Comput., December, 2024

Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing.

Yankai Chen, Yixiang Fang, Yifei Zhang, Chenhao Ma, Yang Hong, Irwin King

IEEE Trans. Knowl. Data Eng., December, 2024

Separating Noisy Samples From Tail Classes for Long-Tailed Image Classification With Label Noise.

Chaowei Fang, Lechao Cheng, Yining Mao, Dingwen Zhang, Yixiang Fang, Guanbin Li, Huiyan Qi, Licheng Jiao

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Lite Localization Network and DUE-Based Watermarking for Color Image Copyright Protection.

Liuhao Zhu, Yixiang Fang, Yi Zhao, Yi Peng, Junxiang Wang, Jiangqun Ni

IEEE Trans. Circuits Syst. Video Technol., October, 2024

Efficient and effective algorithms for densest subgraph discovery and maintenance.

Yichen Xu, Chenhao Ma, Yixiang Fang, Zhifeng Bao

VLDB J., September, 2024

Dynamic Graph Embedding via Meta-Learning.

Yuren Mao, Yu Hao, Xin Cao, Yixiang Fang, Xuemin Lin, Hua Mao, Zhiqiang Xu

IEEE Trans. Knowl. Data Eng., July, 2024

Efficient Maximal Motif-Clique Enumeration over Large Heterogeneous Information Networks.

Yingli Zhou, Yixiang Fang, Chenhao Ma, Tianci Hou, Xin Huang

Proc. VLDB Endow., July, 2024

Distributed Shortest Distance Labeling on Large-Scale Graphs.

Yuanyuan Zeng, Chenhao Ma, Yixiang Fang

Proc. VLDB Endow., June, 2024

Efficient Parallel D-core Decomposition at Scale.

Wensheng Luo, Yixiang Fang, Chunxu Lin, Yingli Zhou

Proc. VLDB Endow., June, 2024

Efficient Distributed Hop-Constrained Path Enumeration on Large-Scale Graphs.

Yuanyuan Zeng, Yixiang Fang, Chenhao Ma, Xu Zhou, Kenli Li

Proc. ACM Manag. Data, February, 2024

Accelerating directed densest subgraph queries with software and hardware approaches.

Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han, Xiaodong Li

VLDB J., January, 2024

A Counting-based Approach for Efficient k-Clique Densest Subgraph Discovery.

Yingli Zhou, Qingshuo Guo, Yixiang Fang, Chenhao Ma

Proc. ACM Manag. Data, 2024

On Efficient Large Sparse Matrix Chain Multiplication.

Chunxu Lin, Wensheng Luo, Yixiang Fang, Chenhao Ma, Xilin Liu, Yuchi Ma

Proc. ACM Manag. Data, 2024

Adaptive feature selection and optimized multiple histogram construction for reversible data hiding.

Fengyun Shi, Wen Han, Yi Zhao, Yixiang Fang, Junxiang Wang

J. King Saud Univ. Comput. Inf. Sci., 2024

In-depth Analysis of Densest Subgraph Discovery in a Unified Framework.

Yingli Zhou, Qingshuo Guo, Yi Yang, Yixiang Fang, Chenhao Ma, Laks V. S. Lakshmanan

CoRR, 2024

Efficient Historical Butterfly Counting in Large Temporal Bipartite Networks via Graph Structure-aware Index.

Qiuyang Mang, Jingbang Chen, Hangrui Zhou, Yu Gao, Yingli Zhou, Richard Peng, Yixiang Fang, Chenhao Ma

CoRR, 2024

A Similarity-based Approach for Efficient Large Quasi-clique Detection.

Jiayang Pang, Chenhao Ma, Yixiang Fang

Proceedings of the ACM on Web Conference 2024, 2024

Efficient Core Decomposition Over Large Heterogeneous Information Networks.

Yucan Guo, Chenhao Ma, Yixiang Fang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Effective Job-market Mobility Prediction with Attentive Heterogeneous Knowledge Learning and Synergy.

Sida Lin, Zhouyi Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Shan Dai, Guangli Lu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Influential Exemplar Replay for Incremental Learning in Recommender Systems.

Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal.

Yicheng Leng, Chaowei Fang, Gen Li, Yixiang Fang, Guanbin Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks.

Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

GSim: A Graph Neural Network Based Relevance Measure for Heterogeneous Graphs.

Linhao Luo, Yixiang Fang, Moli Lu, Xin Cao, Xiaofeng Zhang, Wenjie Zhang

IEEE Trans. Knowl. Data Eng., December, 2023

Color image reversible data hiding based on multi-channel synchronized histogram.

Yi Peng, Yi Zhao, Ningxiong Mao, Junxiang Wang, Yixiang Fang, Tianzhu Zhang, Fengyun Shi

J. King Saud Univ. Comput. Inf. Sci., December, 2023

Efficient Core Maintenance in Large Bipartite Graphs.

Wensheng Luo, Qiaoyuan Yang, Yixiang Fang, Xu Zhou

Proc. ACM Manag. Data, September, 2023

PROMISE: A QR Code PROjection Matrix Based Framework for Information Hiding Using Image SEgmentation.

Yixiang Fang, Kai Tu, Kai Wu, Yi Peng, Yunqing Shi

KSII Trans. Internet Inf. Syst., February, 2023

Influential Community Search over Large Heterogeneous Information Networks.

Yingli Zhou, Yixiang Fang, Wensheng Luo, Yunming Ye

Proc. VLDB Endow., 2023

Efficient and Effective Algorithms for Generalized Densest Subgraph Discovery.

Yichen Xu, Chenhao Ma, Yixiang Fang, Zhifeng Bao

Proc. ACM Manag. Data, 2023

On Querying Connected Components in Large Temporal Graphs.

Haoxuan Xie, Yixiang Fang, Yuyang Xia, Wensheng Luo, Chenhao Ma

Proc. ACM Manag. Data, 2023

WISK: A Workload-aware Learned Index for Spatial Keyword Queries.

Yufan Sheng, Xin Cao, Yixiang Fang, Kaiqi Zhao, Jianzhong Qi, Gao Cong, Wenjie Zhang

Proc. ACM Manag. Data, 2023

A Summary of ICDE 2022 Research Session Panels.

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

IEEE Data Eng. Bull., 2023

An Augmented Index-based Efficient Community Search for Large Directed Graphs.

Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King

CoRR, 2023

A Survey of Densest Subgraph Discovery on Large Graphs.

Wensheng Luo, Chenhao Ma, Yixiang Fang, Laks V. S. Lakshmanan

CoRR, 2023

Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space.

Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King

Proceedings of the ACM Web Conference 2023, 2023

Finding Top-k Important Edges on Bipartite Graphs: Ego-betweenness Centrality-based Approaches.

Tongfeng Weng, Xu Zhou, Yixiang Fang, Kian-Lee Tan, Kenli Li

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Scalable Algorithms for Densest Subgraph Discovery.

Wensheng Luo, Zhuo Tang, Yixiang Fang, Chenhao Ma, Xu Zhou

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

ABLE: Meta-Path Prediction in Heterogeneous Information Networks.

Chenji Huang, Yixiang Fang, Xuemin Lin, Xin Cao, Wenjie Zhang

ACM Trans. Knowl. Discov. Data, 2022

The Social Technology and Research (STAR) Lab in the University of Hong Kong.

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

SIGMOD Rec., 2022

Effective Community Search over Large Star-Schema Heterogeneous Information Networks.

Yangqin Jiang, Yixiang Fang, Chenhao Ma, Xin Cao, Chunshan Li

Proc. VLDB Endow., 2022

Densest Subgraph Discovery on Large Graphs: Applications, Challenges, and Techniques.

Yixiang Fang, Wensheng Luo, Chenhao Ma

Proc. VLDB Endow., 2022

A Domain-independent Dual-image based Robust Reversible Watermarking.

Xuejing Guo, Yixiang Fang, Junxiang Wang, Wenchao Zeng, Yi Zhao, Tianzhu Zhang, Yun-Qing Shi

KSII Trans. Internet Inf. Syst., 2022

A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery.

Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Estimating Node Importance Values in Heterogeneous Information Networks.

Chenji Huang, Yixiang Fang, Xuemin Lin, Xin Cao, Wenjie Zhang, Maria E. Orlowska

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Constrained Path Search with Submodular Function Maximization.

Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Sibo Wang, Xuemin Lin, Liang Feng

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Cohesive Subgraph Search Over Large Heterogeneous Information Networks

Yixiang Fang, Kai Wang, Xuemin Lin, Wenjie Zhang

Springer Briefs in Computer Science, Springer, ISBN: 978-3-030-97567-8, 2022

2021

On Directed Densest Subgraph Discovery.

Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin

ACM Trans. Database Syst., 2021

CP-GNN: A Software for Community Detection in Heterogeneous Information Networks.

Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang

Softw. Impacts, 2021

Efficient Directed Densest Subgraph Discovery.

Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin

SIGMOD Rec., 2021

Efficient Bi-triangle Counting for Large Bipartite Networks.

Yixing Yang, Yixiang Fang, Maria E. Orlowska, Wenjie Zhang, Xuemin Lin

Proc. VLDB Endow., 2021

A Note on General Statistics of Publicly Accessible Knowledge Bases.

Feixiang Wang, Yixiang Fang, Yan Song, Shuang Li, Xinyun Chen

CoRR, 2021

Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View.

Shuang Li, Lu Wang, Xinyun Chen, Yixiang Fang, Yan Song

CoRR, 2021

Cohesive Subgraph Search over Big Heterogeneous Information Networks: Applications, Challenges, and Solutions.

Yixiang Fang, Kai Wang, Xuemin Lin, Wenjie Zhang

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

KS-GNN: Keywords Search over Incomplete Graphs via Graphs Neural Network.

Yu Hao, Xin Cao, Yufan Sheng, Yixiang Fang, Wei Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Relation Prediction via Graph Neural Network in Heterogeneous Information Networks with Missing Type Information.

Han Zhang, Yu Hao, Xin Cao, Yixiang Fang, Won-Yong Shin, Wei Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model.

Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Correction: A survey of community search over big graphs.

Yixiang Fang, Xin Huang, Lu Qin, Ying Zhang, Wenjie Zhang, Reynold Cheng, Xuemin Lin

VLDB J., 2020

A survey of community search over big graphs.

Yixiang Fang, Xin Huang, Lu Qin, Ying Zhang, Wenjie Zhang, Reynold Cheng, Xuemin Lin

VLDB J., 2020

LABIN: Balanced Min Cut for Large-Scale Data.

Xiaojun Chen, Renjie Chen, Qingyao Wu, Yixiang Fang, Feiping Nie, Joshua Zhexue Huang

IEEE Trans. Neural Networks Learn. Syst., 2020

ESPM: Efficient Spatial Pattern Matching.

Hongmei Chen, Yixiang Fang, Ying Zhang, Wenjie Zhang, Lizhen Wang

IEEE Trans. Knowl. Data Eng., 2020

Effective and Efficient Community Search over Large Heterogeneous Information Networks.

Yixiang Fang, Yixing Yang, Wenjie Zhang, Xuemin Lin, Xin Cao

Proc. VLDB Endow., 2020

RRCN: A Reinforced Random Convolutional Network based Reciprocal Recommendation Approach for Online Dating.

Linhao Luo, Liqi Yang, Ju Xin, Yixiang Fang, Xiaofeng Zhang, Xiaofei Yang, Kai Chen, Zhiyuan Zhang, Kai Liu

CoRR, 2020

Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs.

Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin

Proceedings of the 2020 International Conference on Management of Data, 2020

Inductive Link Prediction for Nodes Having Only Attribute Information.

Yu Hao, Xin Cao, Yixiang Fang, Xike Xie, Sibo Wang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach.

Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Optimal Region Search with Submodular Maximization.

Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Bin Yao

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Effective and Efficient Truss Computation over Large Heterogeneous Information Networks.

Yixing Yang, Yixiang Fang, Xuemin Lin, Wenjie Zhang

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

MC-Explorer: Analyzing and Visualizing Motif-Cliques on Large Networks.

Boxuan Li, Reynold Cheng, Jiafeng Hu, Yixiang Fang, Min Ou, Ruibang Luo, Kevin Chen-Chuan Chang, Xuemin Lin

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

ESPM: Efficient Spatial Pattern Matching (Extended Abstract).

Hongmei Chen, Yixiang Fang, Ying Zhang, Wenjie Zhang, Lizhen Wang

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Securing Data Communication of Internet of Things in 5G Using Network Steganography.

Yixiang Fang, Kai Tu, Kai Wu, Yi Peng, Junxiang Wang, Changlong Lu

Proceedings of the Artificial Intelligence and Security - 6th International Conference, 2020

2019

Evaluating pattern matching queries for spatial databases.

Yixiang Fang, Yun Li, Reynold Cheng, Nikos Mamoulis, Gao Cong

VLDB J., 2019

Effective and Efficient Community Search Over Large Directed Graphs.

Yixiang Fang, Zhongran Wang, Reynold Cheng, Hongzhi Wang, Jiafeng Hu

IEEE Trans. Knowl. Data Eng., 2019

On Spatial-Aware Community Search.

Yixiang Fang, Zheng Wang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu, Xiaojun Chen

IEEE Trans. Knowl. Data Eng., 2019

Exploring Communities in Large Profiled Graphs.

Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang

IEEE Trans. Knowl. Data Eng., 2019

Spatial pattern matching: a new direction for finding spatial objects.

Yun Li, Yixiang Fang, Reynold Cheng, Wenjie Zhang

ACM SIGSPATIAL Special, 2019

LINC: A Motif Counting Algorithm for Uncertain Graphs.

Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Tobias Grubenmann, Yixiang Fang, Xiaodong Li

Proc. VLDB Endow., 2019

Efficient Algorithms for Densest Subgraph Discovery.

Yixiang Fang, Kaiqiang Yu, Reynold Cheng, Laks V. S. Lakshmanan, Xuemin Lin

Proc. VLDB Endow., 2019

Efficient Parallel Computing of Graph Edit Distance.

Ran Wang, Yixiang Fang, Xing Feng

Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

Discovering Maximal Motif Cliques in Large Heterogeneous Information Networks.

Jiafeng Hu, Reynold Cheng, Kevin Chen-Chuan Chang, Aravind Sankar, Yixiang Fang, Brian Y. H. Lam

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Effective and Efficient Community Search Over Large Directed Graphs (Extended Abstract).

Yixiang Fang, Zhongran Wang, Reynold Cheng, Hongzhi Wang, Jiafeng Hu

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Exploring Communities in Large Profiled Graphs (Extended Abstract).

Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Structured Spectral Clustering of PurTree Data.

Xiaojun Chen, Chao Guo, Yixiang Fang, Rui Mao

Proceedings of the Database Systems for Advanced Applications, 2019

2018

PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data.

Xiaojun Chen, Yixiang Fang, Min Yang, Feiping Nie, Zhou Zhao, Joshua Zhexue Huang

IEEE Trans. Knowl. Data Eng., 2018

STEM: a suffix tree-based method for web data records extraction.

Yixiang Fang, Xiaoqin Xie, Xiaofeng Zhang, Reynold Cheng, Zhiqiang Zhang

Knowl. Inf. Syst., 2018

SpaceKey: Exploring Patterns in Spatial Databases.

Yixiang Fang, Reynold Cheng, Jikun Wang, Lukito Budiman, Gao Cong, Nikos Mamoulis

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

On Spatial Pattern Matching.

Yixiang Fang, Reynold Cheng, Gao Cong, Nikos Mamoulis, Yun Li

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Scalable Evaluation of k-NN Queries on Large Uncertain Graphs.

Xiaodong Li, Reynold Cheng, Yixiang Fang, Jiafeng Hu, Silviu Maniu

Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017

Effective and efficient community search over large attributed graphs.

Yixiang Fang

PhD thesis, 2017

Effective and efficient attributed community search.

Yixiang Fang, Reynold Cheng, Yankai Chen, Siqiang Luo, Jiafeng Hu

VLDB J., 2017

On Minimal Steiner Maximum-Connected Subgraph Queries.

Jiafeng Hu, Xiaowei Wu, Reynold Cheng, Siqiang Luo, Yixiang Fang

IEEE Trans. Knowl. Data Eng., 2017

Effective Community Search over Large Spatial Graphs.

Yixiang Fang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu

Proc. VLDB Endow., 2017

C-Explorer: Browsing Communities in Large Graphs.

Yixiang Fang, Reynold Cheng, Siqiang Luo, Jiafeng Hu, Kai Huang

Proc. VLDB Endow., 2017

On Attributed Community Search.

Yixiang Fang, Reynold Cheng

Proceedings of the Mobility Analytics for Spatio-Temporal and Social Data, 2017

On Embedding Uncertain Graphs.

Jiafeng Hu, Reynold Cheng, Zhipeng Huang, Yixiang Fang, Siqiang Luo

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data.

Yixiang Fang, Reynold Cheng, Wenbin Tang, Silviu Maniu, Xuan S. Yang

IEEE Trans. Knowl. Data Eng., 2016

Effective Community Search for Large Attributed Graphs.

Yixiang Fang, Reynold Cheng, Siqiang Luo, Jiafeng Hu

Proc. VLDB Endow., 2016

Querying Minimal Steiner Maximum-Connected Subgraphs in Large Graphs.

Jiafeng Hu, Xiaowei Wu, Reynold Cheng, Siqiang Luo, Yixiang Fang

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Walking in the Cloud: Parallel SimRank at Scale.

Zhenguo Li, Yixiang Fang, Qin Liu, Jiefeng Cheng, Reynold Cheng, John C. S. Lui

Proc. VLDB Endow., 2015

2014

Detecting hot topics from Twitter: A multiview approach.

Yixiang Fang, Haijun Zhang, Yunming Ye, Xutao Li

J. Inf. Sci., 2014

Uncertain Data Classification.

Reynold Cheng, Yixiang Fang, Matthias Renz

Proceedings of the Data Classification: Algorithms and Applications, 2014

2009

Domain knowledge driving in intelligent design of series mechanical product.

Yixiang Fang, Enfu Liu, Jiangyan Jin, Lanzhi Gu

Proceedings of the 11th International Conference on Computer-Aided Design and Computer Graphics, 2009

2008

Intelligent Design of Series Product Based on Template Case.

Yixiang Fang, Enfu Liu, Jiangyan Jin, Lanzhi Gu, Jinduo Zheng

Proceedings of the International Conference on Computer Science and Software Engineering, 2008