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ORCIDDa Yan 0001
严达
Person information
- unicode name: 严达
- affiliation: University of Alabama at Birmingham, AL, USA
- affiliation (Ph.D., 2014): Hong Kong University of Science and Technology, Hong Kong, SAR, China
Other persons with the same name
- Da Yan — disambiguation page
- Da Yan 0002
![[0000-0001-7741-4576]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7741-4576")
— Hong Kong University of Science and Technology, Hong Kong, SAR, China - Da Yan 0003 — Hohai University, Changzhou, China
- Da Yan 0004 — Tianjin Normal University, College of Electronic and Communication Engineering, China
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2020 – today
- 2023
[j30]Hsiang-Yun Wu, Karsten Klein, Da Yan:
Effective Network Analytics: Network Visualization and Graph Data Management. IEEE Computer Graphics and Applications 43(3): 10-11 (2023)- [j29]Lyuheng Yuan, Da Yan, Wenwen Qu, Saugat Adhikari, Jalal Khalil, Cheng Long, Xiaoling Wang:
T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph. Proc. ACM Manag. Data 1(1): 74:1-74:26 (2023) - [c71]Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish:
Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. ICDE 2023: 1084-1097 - [c70]Akhlaque Ahmad, Lyuheng Yuan, Da Yan, Guimu Guo, Jieyang Chen, Chengcui Zhang:
Accelerating k-Core Decomposition by a GPU. ICDE 2023: 1818-1831 - [c69]Bo Hui, Da Yan, Xiaolong Ma, Wei-Shinn Ku:
Rethinking Graph Lottery Tickets: Graph Sparsity Matters. ICLR 2023 - [c68]Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan:
Fast Federated Machine Unlearning with Nonlinear Functional Theory. ICML 2023: 4241-4268 - [c67]Jiaxiang Ren, Yang Zhou, Jiayin Jin, Lingjuan Lyu, Da Yan:
Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing. ICML 2023: 28976-29008 - [c66]Da Yan, Ariful Azad, Jie Hou, Jake Y. Chen, Mohammed J. Zaki:
22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023). KDD 2023: 5897-5898 - [c65]Zhe Jiang, Yupu Zhang, Saugat Adhikari, Da Yan, Arpan Man Sainju, Xiaowei Jia, Yiqun Xie:
A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth Imagery. SDM 2023: 316-324 - [i15]Bo Hui, Da Yan, Xiaolong Ma, Wei-Shinn Ku:
Rethinking Graph Lottery Tickets: Graph Sparsity Matters. CoRR abs/2305.02190 (2023) - 2022
- [j28]Da Yan, Hong Qin, Hsiang-Yun Wu, Jake Y. Chen:
Guest Editorial for Selected Papers From BIOKDD 2020. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2545-2546 (2022) - [j27]Da Yan, Zhaohui S. Qin, Debswapna Bhattacharya, Jake Y. Chen:
Guest Editorial for Selected Papers From BIOKDD 2021. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3068-3069 (2022) - [j26]Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan, Yang Zhou:
Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training. ACM Trans. Intell. Syst. Technol. 13(2): 26:1-26:22 (2022) - [j25]Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da Yan, Dejing Dou:
Unsupervised Adversarial Network Alignment with Reinforcement Learning. ACM Trans. Knowl. Discov. Data 16(3): 50:1-50:29 (2022) - [j24]Ji Cheng, Da Yan, Wenwen Qu, Xiaotian Hao, Cheng Long, Wilfred Ng, Xiaoling Wang:
Mining Order-preserving Submatrices under Data Uncertainty: A Possible-world Approach and Efficient Approximation Methods. ACM Trans. Database Syst. 47(2): 7:1-7:57 (2022) - [j23]Da Yan, Wenwen Qu, Guimu Guo, Xiaoling Wang, Yang Zhou:
PrefixFPM: a parallel framework for general-purpose mining of frequent and closed patterns. VLDB J. 31(2): 253-286 (2022) - [j22]Da Yan, Guimu Guo, Jalal Khalil, M. Tamer Özsu, Wei-Shinn Ku, John C. S. Lui:
G-thinker: a general distributed framework for finding qualified subgraphs in a big graph with load balancing. VLDB J. 31(2): 287-320 (2022) - [j21]Jalal Khalil, Da Yan, Guimu Guo, Lyuheng Yuan:
Parallel mining of large maximal quasi-cliques. VLDB J. 31(4): 649-674 (2022) - [c64]Saugat Adhikari, Da Yan, Mirza Tanzim Sami, Jalal Khalil, Lyuheng Yuan, Bhadhan Roy Joy, Zhe Jiang, Arpan Man Sainju:
An elevation-guided annotation tool for flood extent mapping on earth imagery (demo paper). SIGSPATIAL/GIS 2022: 28:1-28:4 - [c63]Jalal Khalil, Da Yan, Lyuheng Yuan, Mostafa Jafarzadehfadaki, Saugat Adhikari, Virginia P. Sisiopiku, Zhe Jiang:
Realistic urban traffic simulation with ride-hailing services: a revisit to network kernel density estimation (systems paper). SIGSPATIAL/GIS 2022: 29:1-29:10 - [c62]Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku:
Time-sensitive POI Recommendation by Tensor Completion with Side Information. ICDE 2022: 205-217 - [c61]Guimu Guo, Da Yan, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou:
Maximal Directed Quasi -Clique Mining. ICDE 2022: 1900-1913 - [c60]Da Yan, Md Mashiur Rahman Chowdhury, Guimu Guo, Jalal Khalil, Zhe Jiang, Sushil K. Prasad:
Distributed Task-Based Training of Tree Models. ICDE 2022: 2237-2249 - [c59]Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou:
Federated Fingerprint Learning with Heterogeneous Architectures. ICDM 2022: 31-40 - [c58]Ivan Mihov, Haiquan Chen, Xiao Qin, Wei-Shinn Ku, Da Yan, Yuhong Liu:
MentalNet: Heterogeneous Graph Representation for Early Depression Detection. ICDM 2022: 1113-1118 - [c57]Mirza Tanzim Sami, Da Yan, Bhadhan Roy Joy, Jalal Khalil, Ricardo Cevallos, Md. Emon Hossain, Kejin Hu, Yang Zhou:
Center-Based iPSC Colony Counting with Multi-Task Learning. ICDM 2022: 1173-1178 - [c56]Wenchong He, Zhe Jiang, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou:
Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. KDD 2022: 554-564 - [c55]Da Yan, Catia Pesquita, Carsten Görg, Jake Y. Chen, Mohammed J. Zaki:
21th International Workshop on Data Mining in Bioinformatics (BIOKDD 2022). KDD 2022: 4910-4911 - [c54]Kaiqiang Yu, Cheng Long, Shengxin Liu, Da Yan:
Efficient Algorithms for Maximal k-Biplex Enumeration. SIGMOD Conference 2022: 860-873 - [i14]Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish:
Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. CoRR abs/2211.06793 (2022) - [i13]Karsten Klein, Juan F. Sequeda, Hsiang-Yun Wu, Da Yan:
Bringing Graph Databases and Network Visualization Together (Dagstuhl Seminar 22031). Dagstuhl Reports 12(1): 67-82 (2022) - 2021
- [j20]Sherif Sakr, Angela Bonifati, Hannes Voigt, Alexandru Iosup, Khaled Ammar, Renzo Angles, Walid G. Aref, Marcelo Arenas, Maciej Besta, Peter A. Boncz, Khuzaima Daudjee, Emanuele Della Valle, Stefania Dumbrava, Olaf Hartig, Bernhard Haslhofer, Tim Hegeman, Jan Hidders, Katja Hose, Adriana Iamnitchi, Vasiliki Kalavri, Hugo Kapp, Wim Martens, M. Tamer Özsu, Eric Peukert, Stefan Plantikow, Mohamed Ragab, Matei Ripeanu, Semih Salihoglu, Christian Schulz, Petra Selmer, Juan F. Sequeda, Joshua Shinavier, Gábor Szárnyas, Riccardo Tommasini, Antonino Tumeo, Alexandru Uta, Ana Lucia Varbanescu, Hsiang-Yun Wu, Nikolay Yakovets, Da Yan, Eiko Yoneki:
The future is big graphs: a community view on graph processing systems. Commun. ACM 64(9): 62-71 (2021) - [j19]Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen:
Flood Inundation Mapping with Limited Observations Based on Physics-Aware Topography Constraint. Frontiers Big Data 4: 707951 (2021) - [j18]Da Yan, Hong Qin, Hsiang-Yun Wu, Jake Y. Chen:
Editorial: AI-Enabled Data Science for COVID-19. Frontiers Big Data 4: 802452 (2021) - [j17]Guimu Guo, Hongzhi Chen, Da Yan, James Cheng, Jake Y. Chen, Zechen Chong:
Scalable De Novo Genome Assembly Using a Pregel-Like Graph-Parallel System. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 731-744 (2021) - [j16]Da Yan, Sharma V. Thankachan, Jake Y. Chen:
Guest Editorial for Selected Papers From BIOKDD 2019. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 809-810 (2021) - [c53]Bo Hui, Da Yan, Wei-Shinn Ku:
Node-Polysemy Aware Recommendation by Matrix Completion with Side Information. IEEE BigData 2021: 636-642 - [c52]Da Yan, Shengbin Wu, Mirza Tanzim Sami, Abdullateef Ibrahim Almudaifer, Zhe Jiang, Haiquan Chen, D. Rangaprakash, Gopikrishna Deshpande, Yueen Ma:
Improving Brain Dysfunction Prediction by GAN: A Functional-Connectivity Generator Approach. IEEE BigData 2021: 1514-1522 - [c51]Jalal Khalil, Da Yan, Guimu Guo, Mirza Tanzim Sami, Joy Bhadhan Roy, Virginia P. Sisiopiku:
Traffic Study of Shared Micromobility Services by Transportation Simulation. IEEE BigData 2021: 3691-3699 - [c50]Jalal Khalil, Da Yan, Guimu Guo, Mirza Tanzim Sami, Joy Bhadhan Roy, Virginia P. Sisiopiku:
Realistic Transport Simulation for Studying the Impacts of Shared Micromobility Services. IEEE BigData 2021: 5935-5937 - [c49]Mirza Tanzim Sami, Da Yan, Huang Huang, Xinyu Liang, Guimu Guo, Zhe Jiang:
Drone-Based Tower Survey by Multi-Task Learning. IEEE BigData 2021: 6011-6013 - [c48]Jahandad Pirayesh, Haiquan Chen, Xiao Qin, Wei-Shinn Ku, Da Yan:
MentalSpot: Effective Early Screening for Depression Based on Social Contagion. CIKM 2021: 1437-1446 - [c47]Zeru Zhang, Zijie Zhang, Yang Zhou, Lingfei Wu, Sixing Wu, Xiaoying Han, Dejing Dou, Tianshi Che, Da Yan:
Adversarial Attack against Cross-lingual Knowledge Graph Alignment. EMNLP (1) 2021: 5320-5337 - [c46]Md Mostafijur Rahman, Arpan Man Sainju, Da Yan, Zhe Jiang:
Mapping Road Safety Barriers Across Street View Image Sequences: A Hybrid Object Detection and Recurrent Model. GeoAI@SIGSPATIAL 2021: 47-50 - [c45]Bo Hui, Haiquan Chen, Da Yan, Wei-Shinn Ku:
EDGE: Entity-Diffusion Gaussian Ensemble for Interpretable Tweet Geolocation Prediction. ICDE 2021: 1092-1103 - [c44]Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku:
Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting. ICDM 2021: 1114-1119 - [c43]Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da Yan:
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks. ICML 2021: 12719-12735 - [c42]Yueen Ma, Da Yan, Cheng Long, D. Rangaprakash, Gopikrishna Deshpande:
Predicting Autism Spectrum Disorder from Brain Imaging Data by Graph Convolutional Network. IJCNN 2021: 1-8 - [c41]Xingkun Yin, Da Yan, Abdullateef Ibrahim Almudaifer, Sibo Yan, Yang Zhou:
Forecasting Stock Prices Using Stock Correlation Graph: A Graph Convolutional Network Approach. IJCNN 2021: 1-8 - [c40]Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku:
TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction. KDD 2021: 716-724 - [c39]Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Sultan Asiri, Da Yan:
Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors. KDD 2021: 767-775 - [c38]Da Yan, Steve Qin, Debswapna Bhattacharya, Jake Y. Chen, Mohammed J. Zaki:
20th International Workshop on Data Mining in Bioinformatics (BIOKDD 2021). KDD 2021: 4175-4176 - [c37]Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan:
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. SDM 2021: 253-261 - [i12]Kaiqiang Yu, Cheng Long, Shengxin Liu, Da Yan:
Efficient Algorithms for Maximal k-Biplex Enumeration. CoRR abs/2112.14414 (2021) - 2020
- [j15]Jonathan D. Wren, Yongsheng Bai, Zhaohui S. Qin, Da Yan, Ramin Homayouni:
Proceedings of the 2019 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. BMC Bioinform. 21-S(4): 254 (2020) - [j14]Guimu Guo, Da Yan, M. Tamer Özsu, Zhe Jiang, Jalal Khalil:
Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. Proc. VLDB Endow. 14(4): 573-585 (2020) - [j13]Da Yan, Xin Gao, Samah J. Fodeh, Jake Y. Chen:
Guest Editorial for Selected Papers from BIOKDD 2018 and DMBIH 2018. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 1832-1834 (2020) - [c36]Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan:
Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint. AAAI 2020: 898-905 - [c35]Ramin Goudarzi Karim, Guimu Guo, Da Yan, Carmeliza Navasca:
Accurate Tensor Decomposition with Simultaneous Rank Approximation for Surveillance Videos. ACSSC 2020: 842-846 - [c34]Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Dejing Dou, Da Yan:
Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference. IEEE BigData 2020: 868-877 - [c33]Yingzhe Dong, Da Yan, Abdullateef Ibrahim Almudaifer, Sibo Yan, Zhe Jiang, Yang Zhou:
BELT: A Pipeline for Stock Price Prediction Using News. IEEE BigData 2020: 1137-1146 - [c32]Bo Hui, Da Yan, Wei-Shinn Ku, Wenlu Wang:
Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach. CIKM 2020: 555-564 - [c31]Yuechun Gu, Da Yan, Sibo Yan, Zhe Jiang:
Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators. CIKM 2020: 2485-2492 - [c30]Da Yan, Guimu Guo, Md Mashiur Rahman Chowdhury, M. Tamer Özsu, Wei-Shinn Ku, John C. S. Lui:
G-thinker: A Distributed Framework for Mining Subgraphs in a Big Graph. ICDE 2020: 1369-1380 - [c29]Da Yan, Wenwen Qu, Guimu Guo, Xiaoling Wang:
PrefixFPM: A Parallel Framework for General-Purpose Frequent Pattern Mining. ICDE 2020: 1938-1941 - [c28]Xingyao Wang, Da Yan, Ke Chen, Yancong Deng, Cheng Long, Kunlin Zhang, Sibo Yan:
Lane Extraction and Quality Evaluation: A Hough Transform Based Approach. MIPR 2020: 7-12 - [c27]Wenwen Qu, Da Yan, Guimu Guo, Xiaoling Wang, Lei Zou, Yang Zhou:
Parallel Mining of Frequent Subtree Patterns. SFDI/LSGDA@VLDB 2020: 18-32 - [i11]Guimu Guo, Da Yan, M. Tamer Özsu, Zhe Jiang:
Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. CoRR abs/2005.00081 (2020) - [i10]Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan:
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. CoRR abs/2008.11269 (2020) - [i9]Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen:
Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint. CoRR abs/2009.01072 (2020) - [i8]Sherif Sakr, Angela Bonifati, Hannes Voigt, Alexandru Iosup, Khaled Ammar, Renzo Angles, Walid G. Aref, Marcelo Arenas, Maciej Besta, Peter A. Boncz, Khuzaima Daudjee, Emanuele Della Valle, Stefania Dumbrava, Olaf Hartig, Bernhard Haslhofer, Tim Hegeman, Jan Hidders, Katja Hose, Adriana Iamnitchi, Vasiliki Kalavri, Hugo Kapp, Wim Martens, M. Tamer Özsu, Eric Peukert, Stefan Plantikow, Mohamed Ragab, Matei Ripeanu, Semih Salihoglu, Christian Schulz, Petra Selmer, Juan F. Sequeda, Joshua Shinavier, Gábor Szárnyas, Riccardo Tommasini, Antonino Tumeo, Alexandru Uta, Ana Lucia Varbanescu, Hsiang-Yun Wu, Nikolay Yakovets, Da Yan, Eiko Yoneki:
The Future is Big Graphs! A Community View on Graph Processing Systems. CoRR abs/2012.06171 (2020)
2010 – 2019
- 2019
- [c26]Guimu Guo, Jalal Majed Khalil, Da Yan, Virginia P. Sisiopiku:
Realistic Transport Simulation: Tackling the Small Data Challenge with Open Data. IEEE BigData 2019: 4512-4519 - [c25]Ji Cheng, Guimu Guo, Da Yan, Xiaotian Hao, Wilfred Ng:
EasyRain: A User-Friendly Platform for Comparing Precipitation Nowcasting Models. IEEE BigData 2019: 6019-6021 - [c24]Guimu Guo, Jalal Majed Khalil, Da Yan, Virginia P. Sisiopiku:
Realistic Transport Simulation with Open Data. IEEE BigData 2019: 6066-6068 - [c23]Yi Yang, Da Yan, Shuigeng Zhou, Guimu Guo:
Parallel Clique-Like Subgraph Counting and Listing. ER 2019: 484-497 - [c22]Ji Cheng, Da Yan, Xiaotian Hao, Wilfred Ng:
Mining Order-Preserving Submatrices Under Data Uncertainty: A Possible-World Approach. ICDE 2019: 1154-1165 - [c21]Harry Kai-Ho Chan, Cheng Long, Da Yan, Raymond Chi-Wing Wong:
Fraction-Score: A New Support Measure for Co-location Pattern Mining. ICDE 2019: 1514-1525 - [c20]Da Yan, James Cheng, Hongzhi Chen, Cheng Long, Purushotham V. Bangalore:
Lightweight Fault Tolerance in Pregel-Like Systems. ICPP 2019: 69:1-69:10 - [c19]Da Yan, Guimu Guo, Md Mashiur Rahman Chowdhury, M. Tamer Özsu, John C. S. Lui, Weida Tan:
T-thinker: a task-centric distributed framework for compute-intensive divide-and-conquer algorithms. PPoPP 2019: 411-412 - [r1]Da Yan, Hang Liu:
Parallel Graph Processing. Encyclopedia of Big Data Technologies 2019 - 2018
- [j12]Fanhua Shang, Yuanyuan Liu, James Cheng, Da Yan:
Fuzzy Double Trace Norm Minimization for Recommendation Systems. IEEE Trans. Fuzzy Syst. 26(4): 2039-2049 (2018) - [j11]Da Yan, Yuzhen Huang, Miao Liu, Hongzhi Chen, James Cheng, Huanhuan Wu, Chengcui Zhang:
GraphD: Distributed Vertex-Centric Graph Processing Beyond the Memory Limit. IEEE Trans. Parallel Distributed Syst. 29(1): 99-114 (2018) - [c18]Hongzhi Chen, Miao Liu, Yunjian Zhao, Xiao Yan, Da Yan, James Cheng:
G-Miner: an efficient task-oriented graph mining system. EuroSys 2018: 32:1-32:12 - [c17]Da Yan, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao:
Scalable De Novo Genome Assembly Using Pregel. ICDE 2018: 1216-1219 - [i7]Da Yan, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao:
Scalable De Novo Genome Assembly Using Pregel. CoRR abs/1801.04453 (2018) - [i6]Hang Liu, Yufei Ding, Da Zheng, Seung Woo Son, Da Yan:
Challenges Towards Deploying Data Intensive Scientific Applications on Extreme Heterogeneity Supercomputers. CoRR abs/1804.09738 (2018) - 2017
- [b1]Da Yan, Yuanyuan Tian, James Cheng:
Systems for Big Graph Analytics. Springer Briefs in Computer Science, Springer 2017, ISBN 978-3-319-58216-0, pp. 1-92 - [j10]Da Yan, Yingyi Bu, Yuanyuan Tian, Amol Deshpande:
Big Graph Analytics Platforms. Found. Trends Databases 7(1-2): 1-195 (2017) - [c16]Qizhen Zhang, Hongzhi Chen, Da Yan, James Cheng, Boon Thau Loo, Purushotham V. Bangalore:
Architectural implications on the performance and cost of graph analytics systems. SoCC 2017: 40-51 - [c15]Huanhuan Wu, Yunjian Zhao, James Cheng, Da Yan:
Efficient Processing of Growing Temporal Graphs. DASFAA (2) 2017: 387-403 - [i5]Da Yan, Hongzhi Chen, James Cheng, M. Tamer Özsu, Qizhen Zhang, John C. S. Lui:
G-thinker: Big Graph Mining Made Easier and Faster. CoRR abs/1709.03110 (2017) - 2016
- [j9]Da Yan, James Cheng, M. Tamer Özsu, Fan Yang, Yi Lu, John C. S. Lui, Qizhen Zhang, Wilfred Ng:
A General-Purpose Query-Centric Framework for Querying Big Graphs. Proc. VLDB Endow. 9(7): 564-575 (2016) - [c14]Cheng Chen, Hejun Wu, Dyce Jing Zhao, Da Yan, James Cheng:
SGraph: A Distributed Streaming System for Processing Big Graphs. BigCom 2016: 285-294 - [c13]Yi Yang, Da Yan, Huanhuan Wu, James Cheng, Shuigeng Zhou, John C. S. Lui:
Diversified Temporal Subgraph Pattern Mining. KDD 2016: 1965-1974 - [c12]Qizhen Zhang, Da Yan, James Cheng:
Quegel: A General-Purpose System for Querying Big Graphs. SIGMOD Conference 2016: 2189-2192 - [c11]Da Yan, Yingyi Bu, Yuanyuan Tian, Amol Deshpande, James Cheng:
Big Graph Analytics Systems. SIGMOD Conference 2016: 2241-2243 - [i4]Da Yan, Yuzhen Huang, James Cheng, Huanhuan Wu:
Efficient Processing of Very Large Graphs in a Small Cluster. CoRR abs/1601.05590 (2016) - [i3]Da Yan, James Cheng, Fan Yang:
Lightweight Fault Tolerance in Large-Scale Distributed Graph Processing. CoRR abs/1601.06496 (2016) - [i2]Da Yan, James Cheng, M. Tamer Özsu, Fan Yang, Yi Lu, John C. S. Lui, Qizhen Zhang, Wilfred Ng:
Quegel: A General-Purpose Query-Centric Framework for Querying Big Graphs. CoRR abs/1601.06497 (2016) - 2015
- [j8]Da Yan, Zhou Zhao, Wilfred Ng:
Efficient processing of optimal meeting point queries in Euclidean space and road networks. Knowl. Inf. Syst. 42(2): 319-351 (2015) - [j7]Da Yan, James Cheng, Zhou Zhao, Wilfred Ng:
Efficient location-based search of trajectories with location importance. Knowl. Inf. Syst. 45(1): 215-245 (2015) - [j6]Da Yan, Zhou Zhao, Wilfred Ng, Steven Liu:
Probabilistic Convex Hull Queries over Uncertain Data. IEEE Trans. Knowl. Data Eng. 27(3): 852-865 (2015) - [c10]Huanhuan Wu, James Cheng, Yi Lu, Yiping Ke, Yuzhen Huang, Da Yan, Hejun Wu:
Core decomposition in large temporal graphs. IEEE BigData 2015: 649-658 - [c9]Da Yan, James Cheng, Yi Lu, Wilfred Ng:
Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation. WWW 2015: 1307-1317 - [i1]Da Yan, James Cheng, Yi Lu, Wilfred Ng:
Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation. CoRR abs/1503.00626 (2015) - 2014
- [j5]Da Yan, James Cheng, Kai Xing, Yi Lu, Wilfred Ng, Yingyi Bu:
Pregel Algorithms for Graph Connectivity Problems with Performance Guarantees. Proc. VLDB Endow. 7(14): 1821-1832 (2014) - [j4]Da Yan, James Cheng, Yi Lu, Wilfred Ng:
Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs. Proc. VLDB Endow. 7(14): 1981-1992 (2014) - [j3]Yi Lu, James Cheng, Da Yan, Huanhuan Wu:
Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation. Proc. VLDB Endow. 8(3): 281-292 (2014) - [j2]Zhou Zhao, Da Yan, Wilfred Ng:
Mining Probabilistically Frequent Sequential Patterns in Large Uncertain Databases. IEEE Trans. Knowl. Data Eng. 26(5): 1171-1184 (2014) - 2013
- [c8]Da Yan, James Cheng, Wilfred Ng, Steven Liu:
Finding distance-preserving subgraphs in large road networks. ICDE 2013: 625-636 - [c7]Zhou Zhao, Da Yan, Wilfred Ng, Shi Gao:
A transfer learning based framework of crowd-selection on twitter. KDD 2013: 1514-1517 - 2012
- [c6]Da Yan, Zhou Zhao, Wilfred Ng:
Leveraging read rates of passive RFID tags for real-time indoor location tracking. CIKM 2012: 375-384 - [c5]Da Yan, Zhou Zhao, Wilfred Ng:
Monochromatic and bichromatic reverse nearest neighbor queries on land surfaces. CIKM 2012: 942-951 - [c4]Zhou Zhao, Da Yan, Wilfred Ng:
Mining probabilistically frequent sequential patterns in uncertain databases. EDBT 2012: 74-85 - [c3]