Da Yan

161 papers A* 39A 14B 13Misc 1Journal 64Unranked 28
YearRankTypeTitle / Venue / Authors
2026 J jnl
EarthSpatialBench: Benchmarking Spatial Reasoning Capabilities of Multimodal LLMs on Earth Imagery.
CoRR
Zelin Xu, Yupu Zhang, Saugat Adhikari, Saiful Islam, Tingsong Xiao, Zibo Liu, Shigang Chen, Da Yan, Zhe Jiang
2026 J jnl
T-FSM: A Scalable Distributed Task-Based System for Frequent Subgraph Pattern Mining from a Big Graph.
ACM Trans. Database Syst.
Lyuheng Yuan, Da Yan, Dingwen Tao, Jiao Han, Saugat Adhikari, Cheng Long, Yang Zhou
2025 — conf
24
KDD (2)
Da Yan, Truong-Son Hy, Jake Y. Chen, Mohammed J. Zaki
2025 — conf
ALFA: Elevation-Guided 3D Flood Map Annotation on Earth Imagery by Consistency-Enhanced Active Learning.
SIGSPATIAL/GIS
Saugat Adhikari, Da Yan, Naman Nimbale, Akhlaque Ahmad, Jiao Han, Lyuheng Yuan
2025 B conf
CompreGel: Efficient Distributed Graph Propagation via Error-Bounded Lossy Message Compression.
ICPP
Tianhao Wu, Da Yan, Qihao Cheng, Lyuheng Yuan, Sheng Di, Jiao Han, Zhongyi Huang, Ji Cheng
2025 J jnl
Computing Approximate Graph Edit Distance via Optimal Transport.
Proc. ACM Manag. Data
Qihao Cheng, Da Yan, Tianhao Wu, Zhongyi Huang, Qin Zhang
2025 J jnl
Demystify Protein Generation with Hierarchical Conditional Diffusion Models.
CoRR
Zinan Ling, Yi Shi, Da Yan, Yang Zhou, Bo Hui
2025 B conf
Efficient Enumeration of Large Maximal k-Plexes.
EDBT
Qihao Cheng, Da Yan, Tianhao Wu, Lyuheng Yuan, Ji Cheng, Zhongyi Huang, Yang Zhou
2025 B conf
Enabling Fast and Accurate Crowdsourced Annotation for Elevation-Aware Flood Extent Mapping.
PacificVis
Landon Dyken, Saugat Adhikari, Pravin Poudel, Steve Petruzza, Da Yan, Will Usher, Sidharth Kumar
2025 — conf
EvaMAE: How Helpful Are DEM Data in Enhancing Geo-Foundation Models for Earth Imagery?
SIGSPATIAL/GIS
Saugat Adhikari, Da Yan, Naman Nimbale, Weijin Liu, Xiaodong Yu, Akhlaque Ahmad, Lyuheng Yuan, Jiao Han, Zhe Jiang
2025 A* conf
Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning.
IJCAI
Saugat Adhikari, Da Yan, Tianyang Wang, Landon Dyken, Sidharth Kumar, Lyuheng Yuan, Akhlaque Ahmad, Jiao Han, Yang Zhou, Steve Petruzza
2025 B conf
FedNSA: Federated Noise-Signature Alignment for Model-Heterogeneous UAV Vehicle Detection.
IEEE Big Data
Tianshi Che, Yang Zhou, Tonghui Li, Qing Chang, Da Yan, Huaguo Zhou, Zhe Jiang
2025 A* conf
Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning.
ICML
Zihan Zhou, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Da Yan, Ruoming Jin, Dejing Dou
2025 J jnl
Guest Editorial for Selected Papers From BIOKDD 2023.
IEEE Trans. Comput. Biol. Bioinform.
Da Yan, Ariful Azad, Jie Hou, Jake Y. Chen
2025 J jnl
LENS: label sparsity-tolerant adversarial learning on spatial deceptive reviews.
GeoInformatica
Sirish Prabakar, Haiquan Chen, Zhe Jiang, Carl Yang, Weikuan Yu, Da Yan
2025 J jnl
Maximum k-Plex Finding: Choices of Pruning Techniques Matter!
Proc. VLDB Endow.
Akhlaque Ahmad, Da Yan, Xiao Chen, Lyuheng Yuan, Qin Zhang, Saugat Adhikari
2025 A conf
Out-of-Core Parallel Spatial Join Outperforming In-Memory Systems: A BFS-DFS Hybrid Approach.
HPDC
Lyuheng Yuan, Da Yan, Akhlaque Ahmad, Jiao Han, Saugat Adhikari, Yang Zhou
2025 — conf
Scalable Terrain-Aware Flood Extent Mapping on Earth Imagery.
SIGSPATIAL/GIS
Saugat Adhikari, Da Yan, Zhe Jiang, Jiao Han, Zelin Xu, Yupu Zhang, Arpan Man Sainju, Yang Zhou
2025 J jnl
Scaling Terrain-Aware Spatial Machine Learning for Flood Mapping on Large Scale Earth Imagery Data.
ACM Trans. Spatial Algorithms Syst.
Saugat Adhikari, Da Yan, Zhe Jiang, Jiao Han, Zelin Xu, Yupu Zhang, Arpan Man Sainju, Yang Zhou
2025 B conf
Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods.
EDBT
Da Yan, Lyuheng Yuan, Akhlaque Ahmad, Saugat Adhikari
2025 J jnl
Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods.
Proc. VLDB Endow.
Da Yan, Lyuheng Yuan, Akhlaque Ahmad, Saugat Adhikari
2025 B conf
T-RDF: A Task-Based Parallel System for Efficiently Answering SPARQL Queries.
IEEE Big Data
Lyuheng Yuan, Da Yan, Saugat Adhikari, Jiao Han, Lei Zou, Yang Zhou
2025 J jnl
Urban Traffic Simulation with Shared Mobility Services: An Approach Using Spatiotemporal Network Kernel Density Estimation and MATSim.
ACM Trans. Spatial Algorithms Syst.
Jalal Khalil, Da Yan, Lyuheng Yuan, Mostafa Jafarzadehfadaki, Saugat Adhikari, Jiao Han, Virginia P. Sisiopiku, Zhe Jiang
2024 A* conf
23
KDD
Da Yan, Ahmed Abdeen Hamed, Jake Y. Chen, Mohammed J. Zaki
2024 A conf
Advancing Certified Robustness of Explanation via Gradient Quantization.
CIKM
Yang Xiao, Zijie Zhang, Yuchen Fang, Da Yan, Yang Zhou, Wei-Shinn Ku, Bo Hui
2024 B conf
Bmt-Bench: A Benchmark Sports Dataset For Video Generation.
ICIP
Ziang Shi, Yang Xiao, Da Yan, Min-Te Sun, Wei-Shinn Ku, Bo Hui
2024 J jnl
Computing Approximate Graph Edit Distance via Optimal Transport.
CoRR
Qihao Cheng, Da Yan, Tianhao Wu, Zhongyi Huang, Qin Zhang
2024 A conf
DirDense: A Tool for Mining Dense Subgraphs from a Big Directed Graph.
CIKM
Jalal Khalil, Akhlaque Ahmad, Da Yan, Lyuheng Yuan, Saugat Adhikari, Yang Zhou, Zhe Jiang
2024 J jnl
Efficient Enumeration of Large Maximal k-Plexes.
CoRR
Qihao Cheng, Da Yan, Tianhao Wu, Lyuheng Yuan, Ji Cheng, Zhongyi Huang, Yang Zhou
2024 J jnl
Enabling Quick, Accurate Crowdsourced Annotation for Elevation-Aware Flood Extent Mapping.
CoRR
Landon Dyken, Saugat Adhikari, Pravin Poudel, Steve Petruzza, Da Yan, Will Usher, Sidharth Kumar
2024 A* conf
EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery.
IJCAI
Mirza Tanzim Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou
2024 J jnl
EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery.
CoRR
Mirza Tanzim Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou
2024 A* conf
FSM-Explorer: An Interactive Tool for Frequent Subgraph Pattern Mining From a Big Graph.
ICDE
Jalal Khalil, Da Yan, Lyuheng Yuan, Jiao Han, Saugat Adhikari, Cheng Long, Yang Zhou
2024 A* conf
Faster Depth-First Subgraph Matching on GPUs.
ICDE
Lyuheng Yuan, Da Yan, Jiao Han, Akhlaque Ahmad, Yang Zhou, Zhe Jiang
2024 J jnl
Fraction-Score: A Generalized Support Measure for Weighted and Maximal Co-Location Pattern Mining.
IEEE Trans. Knowl. Data Eng.
Harry Kai-Ho Chan, Cheng Long, Da Yan, Raymond Chi-Wing Wong, Hua Lu
2024 A* conf
G
ICDE
Lyuheng Yuan, Akhlaque Ahmad, Da Yan, Jiao Han, Saugat Adhikari, Xiaodong Yu, Yang Zhou
2024 J jnl
Guest Editorial Selected Papers From BIOKDD 2022.
IEEE ACM Trans. Comput. Biol. Bioinform.
Da Yan, Catia Pesquita, Carsten Görg, Jake Y. Chen
2024 A* conf
Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery.
AAAI
Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou
2024 A conf
Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods.
CIKM
Da Yan, Lyuheng Yuan, Akhlaque Ahmad, Saugat Adhikari
2024 A* conf
Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods.
KDD
Da Yan, Lyuheng Yuan, Akhlaque Ahmad, Chenguang Zheng, Hongzhi Chen, James Cheng
2023 A* conf
22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023).
KDD
Da Yan, Ariful Azad, Jie Hou, Jake Y. Chen, Mohammed J. Zaki
2023 A conf
A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth Imagery.
SDM
Zhe Jiang, Yupu Zhang, Saugat Adhikari, Da Yan, Arpan Man Sainju, Xiaowei Jia, Yiqun Xie
2023 J jnl
A Summary of ICDE 2022 Research Session Panels.
IEEE Data Eng. Bull.
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
2023 A* conf
Accelerating k-Core Decomposition by a GPU.
ICDE
Akhlaque Ahmad, Lyuheng Yuan, Da Yan, Guimu Guo, Jieyang Chen, Chengcui Zhang
2023 A* conf
Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing.
ICML
Jiaxiang Ren, Yang Zhou, Jiayin Jin, Lingjuan Lyu, Da Yan
2023 J jnl
Effective Network Analytics: Network Visualization and Graph Data Management.
IEEE Computer Graphics and Applications
Hsiang-Yun Wu, Karsten Klein, Da Yan
2023 A* conf
Fast Federated Machine Unlearning with Nonlinear Functional Theory.
ICML
Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan
2023 A* conf
Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams.
ICDE
Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish
2023 A* conf
Rethinking Graph Lottery Tickets: Graph Sparsity Matters.
ICLR
Bo Hui, Da Yan, Xiaolong Ma, Wei-Shinn Ku
2023 J jnl
Rethinking Graph Lottery Tickets: Graph Sparsity Matters.
CoRR
Bo Hui, Da Yan, Xiaolong Ma, Wei-Shinn Ku
2023 J jnl
Structure prediction and materials design with generative neural networks.
Nat. Comput. Sci.
Da Yan, Adam D. Smith, Cheng-Chien Chen
2023 J jnl
Successfully Applying Lottery Ticket Hypothesis to Diffusion Model.
CoRR
Chao Jiang, Bo Hui, Bohan Liu, Da Yan
2023 J jnl
T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph.
Proc. ACM Manag. Data
Lyuheng Yuan, Da Yan, Wenwen Qu, Saugat Adhikari, Jalal Khalil, Cheng Long, Xiaoling Wang
2022 A* conf
21th International Workshop on Data Mining in Bioinformatics (BIOKDD 2022).
KDD
Da Yan, Catia Pesquita, Carsten Görg, Jake Y. Chen, Mohammed J. Zaki
2022 — conf
An elevation-guided annotation tool for flood extent mapping on earth imagery (demo paper).
SIGSPATIAL/GIS
Saugat Adhikari, Da Yan, Mirza Tanzim Sami, Jalal Khalil, Lyuheng Yuan, Bhadhan Roy Joy, Zhe Jiang, Arpan Man Sainju
2022 J jnl
Bringing Graph Databases and Network Visualization Together (Dagstuhl Seminar 22031).
Dagstuhl Reports
Karsten Klein, Juan F. Sequeda, Hsiang-Yun Wu, Da Yan
2022 A* conf
Center-Based iPSC Colony Counting with Multi-Task Learning.
ICDM
Mirza Tanzim Sami, Da Yan, Bhadhan Roy Joy, Jalal Khalil, Ricardo Cevallos, Md. Emon Hossain, Kejin Hu, Yang Zhou
2022 A* conf
Distributed Task-Based Training of Tree Models.
ICDE
Da Yan, Md Mashiur Rahman Chowdhury, Guimu Guo, Jalal Khalil, Zhe Jiang, Sushil K. Prasad
2022 J jnl
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.
Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan, Yang Zhou
2022 — conf
Efficient Algorithms for Maximal k-Biplex Enumeration.
SIGMOD Conference
Kaiqiang Yu, Cheng Long, Shengxin Liu, Da Yan
2022 A* conf
Federated Fingerprint Learning with Heterogeneous Architectures.
ICDM
Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou
2022 J jnl
G-thinker: a general distributed framework for finding qualified subgraphs in a big graph with load balancing.
VLDB J.
Da Yan, Guimu Guo, Jalal Khalil, M. Tamer Özsu, Wei-Shinn Ku, John C. S. Lui
2022 J jnl
Guest Editorial for Selected Papers From BIOKDD 2020.
IEEE ACM Trans. Comput. Biol. Bioinform.
Da Yan, Hong Qin, Hsiang-Yun Wu, Jake Y. Chen
2022 J jnl
Guest Editorial for Selected Papers From BIOKDD 2021.
IEEE ACM Trans. Comput. Biol. Bioinform.
Da Yan, Zhaohui S. Qin, Debswapna Bhattacharya, Jake Y. Chen
2022 A* conf
Maximal Directed Quasi -Clique Mining.
ICDE
Guimu Guo, Da Yan, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou
2022 A* conf
MentalNet: Heterogeneous Graph Representation for Early Depression Detection.
ICDM
Ivan Mihov, Haiquan Chen, Xiao Qin, Wei-Shinn Ku, Da Yan, Yuhong Liu
2022 J jnl
Mining Order-preserving Submatrices under Data Uncertainty: A Possible-world Approach and Efficient Approximation Methods.
ACM Trans. Database Syst.
Ji Cheng, Da Yan, Wenwen Qu, Xiaotian Hao, Cheng Long, Wilfred Ng, Xiaoling Wang
2022 J jnl
Parallel mining of large maximal quasi-cliques.
VLDB J.
Jalal Khalil, Da Yan, Guimu Guo, Lyuheng Yuan
2022 J jnl
PrefixFPM: a parallel framework for general-purpose mining of frequent and closed patterns.
VLDB J.
Da Yan, Wenwen Qu, Guimu Guo, Xiaoling Wang, Yang Zhou
2022 A* conf
Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery.
KDD
Wenchong He, Zhe Jiang, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou
2022 — conf
Realistic urban traffic simulation with ride-hailing services: a revisit to network kernel density estimation (systems paper).
SIGSPATIAL/GIS
Jalal Khalil, Da Yan, Lyuheng Yuan, Mostafa Jafarzadehfadaki, Saugat Adhikari, Virginia P. Sisiopiku, Zhe Jiang
2022 J jnl
Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams.
CoRR
Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish
2022 A* conf
Time-sensitive POI Recommendation by Tensor Completion with Side Information.
ICDE
Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku
2022 J jnl
Unsupervised Adversarial Network Alignment with Reinforcement Learning.
ACM Trans. Knowl. Discov. Data
Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da Yan, Dejing Dou
2021 A* conf
20th International Workshop on Data Mining in Bioinformatics (BIOKDD 2021).
KDD
Da Yan, Steve Qin, Debswapna Bhattacharya, Jake Y. Chen, Mohammed J. Zaki
2021 — conf
Adversarial Attack against Cross-lingual Knowledge Graph Alignment.
EMNLP (1)
Zeru Zhang, Zijie Zhang, Yang Zhou, Lingfei Wu, Sixing Wu, Xiaoying Han, Dejing Dou, Tianshi Che, Da Yan
2021 A conf
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy.
SDM
Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan
2021 — conf
Drone-Based Tower Survey by Multi-Task Learning.
IEEE BigData
Mirza Tanzim Sami, Da Yan, Huang Huang, Xinyu Liang, Guimu Guo, Zhe Jiang
2021 A* conf
EDGE: Entity-Diffusion Gaussian Ensemble for Interpretable Tweet Geolocation Prediction.
ICDE
Bo Hui, Haiquan Chen, Da Yan, Wei-Shinn Ku
2021 J jnl
Editorial: AI-Enabled Data Science for COVID-19.
Frontiers Big Data
Da Yan, Hong Qin, Hsiang-Yun Wu, Jake Y. Chen
2021 J jnl
Efficient Algorithms for Maximal k-Biplex Enumeration.
CoRR
Kaiqiang Yu, Cheng Long, Shengxin Liu, Da Yan
2021 A* conf
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks.
ICML
Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da Yan
2021 J jnl
Flood Inundation Mapping with Limited Observations Based on Physics-Aware Topography Constraint.
Frontiers Big Data
Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen
2021 B conf
Forecasting Stock Prices Using Stock Correlation Graph: A Graph Convolutional Network Approach.
IJCNN
Xingkun Yin, Da Yan, Abdullateef Ibrahim Almudaifer, Sibo Yan, Yang Zhou
2021 J jnl
Guest Editorial for Selected Papers From BIOKDD 2019.
IEEE ACM Trans. Comput. Biol. Bioinform.
Da Yan, Sharma V. Thankachan, Jake Y. Chen
2021 — conf
Improving Brain Dysfunction Prediction by GAN: A Functional-Connectivity Generator Approach.
IEEE BigData
Da Yan, Shengbin Wu, Mirza Tanzim Sami, Abdullateef Ibrahim Almudaifer, Zhe Jiang, Haiquan Chen, D. Rangaprakash, Gopikrishna Deshpande, Yueen Ma
2021 — conf
Mapping Road Safety Barriers Across Street View Image Sequences: A Hybrid Object Detection and Recurrent Model.
GeoAI@SIGSPATIAL
Md Mostafijur Rahman, Arpan Man Sainju, Da Yan, Zhe Jiang
2021 A conf
MentalSpot: Effective Early Screening for Depression Based on Social Contagion.
CIKM
Jahandad Pirayesh, Haiquan Chen, Xiao Qin, Wei-Shinn Ku, Da Yan
2021 — conf
Node-Polysemy Aware Recommendation by Matrix Completion with Side Information.
IEEE BigData
Bo Hui, Da Yan, Wei-Shinn Ku
2021 B conf
Predicting Autism Spectrum Disorder from Brain Imaging Data by Graph Convolutional Network.
IJCNN
Yueen Ma, Da Yan, Cheng Long, D. Rangaprakash, Gopikrishna Deshpande
2021 — conf
Realistic Transport Simulation for Studying the Impacts of Shared Micromobility Services.
IEEE BigData
Jalal Khalil, Da Yan, Guimu Guo, Mirza Tanzim Sami, Joy Bhadhan Roy, Virginia P. Sisiopiku
2021 J jnl
Scalable De Novo Genome Assembly Using a Pregel-Like Graph-Parallel System.
IEEE ACM Trans. Comput. Biol. Bioinform.
Guimu Guo, Hongzhi Chen, Da Yan, James Cheng, Jake Y. Chen, Zechen Chong
2021 J jnl
The future is big graphs: a community view on graph processing systems.
Commun. ACM
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
2021 — conf
Traffic Study of Shared Micromobility Services by Transportation Simulation.
IEEE BigData
Jalal Khalil, Da Yan, Guimu Guo, Mirza Tanzim Sami, Joy Bhadhan Roy, Virginia P. Sisiopiku
2021 A* conf
TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction.
KDD
Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku
2021 A* conf
Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting.
ICDM
Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku
2021 A* conf
Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors.
KDD
Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Sultan Asiri, Da Yan
2020 Misc conf
Accurate Tensor Decomposition with Simultaneous Rank Approximation for Surveillance Videos.
ACSSC
Ramin Goudarzi Karim, Guimu Guo, Da Yan, Carmeliza Navasca
2020 — conf
BELT: A Pipeline for Stock Price Prediction Using News.
IEEE BigData
Yingzhe Dong, Da Yan, Abdullateef Ibrahim Almudaifer, Sibo Yan, Zhe Jiang, Yang Zhou
2020 J jnl
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy.
CoRR
Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan
2020 A* conf
G-thinker: A Distributed Framework for Mining Subgraphs in a Big Graph.
ICDE
Da Yan, Guimu Guo, Md Mashiur Rahman Chowdhury, M. Tamer Özsu, Wei-Shinn Ku, John C. S. Lui
2020 J jnl
Guest Editorial for Selected Papers from BIOKDD 2018 and DMBIH 2018.
IEEE ACM Trans. Comput. Biol. Bioinform.
Da Yan, Xin Gao, Samah J. Fodeh, Jake Y. Chen
2020 — conf
Lane Extraction and Quality Evaluation: A Hough Transform Based Approach.
MIPR
Xingyao Wang, Da Yan, Ke Chen, Yancong Deng, Cheng Long, Kunlin Zhang, Sibo Yan
2020 — conf
Parallel Mining of Frequent Subtree Patterns.
SFDI/LSGDA@VLDB
Wenwen Qu, Da Yan, Guimu Guo, Xiaoling Wang, Lei Zou, Yang Zhou
2020 A conf
Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach.
CIKM
Bo Hui, Da Yan, Wei-Shinn Ku, Wenlu Wang
2020 A* conf
PrefixFPM: A Parallel Framework for General-Purpose Frequent Pattern Mining.
ICDE
Da Yan, Wenwen Qu, Guimu Guo, Xiaoling Wang
2020 A conf
Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators.
CIKM
Yuechun Gu, Da Yan, Sibo Yan, Zhe Jiang
2020 J jnl
Proceedings of the 2019 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference.
BMC Bioinform.
Jonathan D. Wren, Yongsheng Bai, Zhaohui S. Qin, Da Yan, Ramin Homayouni
2020 J jnl
Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach.
CoRR
Guimu Guo, Da Yan, M. Tamer Özsu, Zhe Jiang
2020 J jnl
Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach.
Proc. VLDB Endow.
Guimu Guo, Da Yan, M. Tamer Özsu, Zhe Jiang, Jalal Khalil
2020 J jnl
Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint.
CoRR
Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen
2020 A* conf
Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint.
AAAI
Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan
2020 J jnl
The Future is Big Graphs! A Community View on Graph Processing Systems.
CoRR
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
2020 — conf
Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference.
IEEE BigData
Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Dejing Dou, Da Yan
2019 — conf
EasyRain: A User-Friendly Platform for Comparing Precipitation Nowcasting Models.
IEEE BigData
Ji Cheng, Guimu Guo, Da Yan, Xiaotian Hao, Wilfred Ng
2019 A* conf
Fraction-Score: A New Support Measure for Co-location Pattern Mining.
ICDE
Harry Kai-Ho Chan, Cheng Long, Da Yan, Raymond Chi-Wing Wong
2019 B conf
Lightweight Fault Tolerance in Pregel-Like Systems.
ICPP
Da Yan, James Cheng, Hongzhi Chen, Cheng Long, Purushotham V. Bangalore
2019 A* conf
Mining Order-Preserving Submatrices Under Data Uncertainty: A Possible-World Approach.
ICDE
Ji Cheng, Da Yan, Xiaotian Hao, Wilfred Ng
2019 A conf
Parallel Clique-Like Subgraph Counting and Listing.
ER
Yi Yang, Da Yan, Shuigeng Zhou, Guimu Guo
2019 — ch.
Parallel Graph Processing.
Encyclopedia of Big Data Technologies
Da Yan, Hang Liu
2019 — conf
Realistic Transport Simulation with Open Data.
IEEE BigData
Guimu Guo, Jalal Majed Khalil, Da Yan, Virginia P. Sisiopiku
2019 — conf
Realistic Transport Simulation: Tackling the Small Data Challenge with Open Data.
IEEE BigData
Guimu Guo, Jalal Majed Khalil, Da Yan, Virginia P. Sisiopiku
2019 B conf
T-thinker: a task-centric distributed framework for compute-intensive divide-and-conquer algorithms.
PPoPP
Da Yan, Guimu Guo, Md Mashiur Rahman Chowdhury, M. Tamer Özsu, John C. S. Lui, Weida Tan
2018 J jnl
Challenges Towards Deploying Data Intensive Scientific Applications on Extreme Heterogeneity Supercomputers.
CoRR
Hang Liu, Yufei Ding, Da Zheng, Seung Woo Son, Da Yan
2018 J jnl
Fuzzy Double Trace Norm Minimization for Recommendation Systems.
IEEE Trans. Fuzzy Syst.
Fanhua Shang, Yuanyuan Liu, James Cheng, Da Yan
2018 A conf
G-Miner: an efficient task-oriented graph mining system.
EuroSys
Hongzhi Chen, Miao Liu, Yunjian Zhao, Xiao Yan, Da Yan, James Cheng
2018 J jnl
GraphD: Distributed Vertex-Centric Graph Processing Beyond the Memory Limit.
IEEE Trans. Parallel Distributed Syst.
Da Yan, Yuzhen Huang, Miao Liu, Hongzhi Chen, James Cheng, Huanhuan Wu, Chengcui Zhang
2018 A* conf
Scalable De Novo Genome Assembly Using Pregel.
ICDE
Da Yan, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao
2018 J jnl
Scalable De Novo Genome Assembly Using Pregel.
CoRR
Da Yan, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao
2017 — conf
Architectural implications on the performance and cost of graph analytics systems.
SoCC
Qizhen Zhang, Hongzhi Chen, Da Yan, James Cheng, Boon Thau Loo, Purushotham V. Bangalore
2017 J jnl
Big Graph Analytics Platforms.
Found. Trends Databases
Da Yan, Yingyi Bu, Yuanyuan Tian, Amol Deshpande
2017 — conf
Efficient Processing of Growing Temporal Graphs.
DASFAA (2)
Huanhuan Wu, Yunjian Zhao, James Cheng, Da Yan
2017 J jnl
G-thinker: Big Graph Mining Made Easier and Faster.
CoRR
Da Yan, Hongzhi Chen, James Cheng, M. Tamer Özsu, Qizhen Zhang, John C. S. Lui
2017 — book
Systems for Big Graph Analytics
Da Yan, Yuanyuan Tian, James Cheng
2016 J jnl
A General-Purpose Query-Centric Framework for Querying Big Graphs.
Proc. VLDB Endow.
Da Yan, James Cheng, M. Tamer Özsu, Fan Yang, Yi Lu, John C. S. Lui, Qizhen Zhang, Wilfred Ng
2016 — conf
Big Graph Analytics Systems.
SIGMOD Conference
Da Yan, Yingyi Bu, Yuanyuan Tian, Amol Deshpande, James Cheng
2016 A* conf
Diversified Temporal Subgraph Pattern Mining.
KDD
Yi Yang, Da Yan, Huanhuan Wu, James Cheng, Shuigeng Zhou, John C. S. Lui
2016 J jnl
Efficient Processing of Very Large Graphs in a Small Cluster.
CoRR
Da Yan, Yuzhen Huang, James Cheng, Huanhuan Wu
2016 J jnl
Lightweight Fault Tolerance in Large-Scale Distributed Graph Processing.
CoRR
Da Yan, James Cheng, Fan Yang
2016 J jnl
Quegel: A General-Purpose Query-Centric Framework for Querying Big Graphs.
CoRR
Da Yan, James Cheng, M. Tamer Özsu, Fan Yang, Yi Lu, John C. S. Lui, Qizhen Zhang, Wilfred Ng
2016 — conf
Quegel: A General-Purpose System for Querying Big Graphs.
SIGMOD Conference
Qizhen Zhang, Da Yan, James Cheng
2016 — conf
SGraph: A Distributed Streaming System for Processing Big Graphs.
BigCom
Cheng Chen, Hejun Wu, Dyce Jing Zhao, Da Yan, James Cheng
2015 — conf
Core decomposition in large temporal graphs.
IEEE BigData
Huanhuan Wu, James Cheng, Yi Lu, Yiping Ke, Yuzhen Huang, Da Yan, Hejun Wu
2015 A* conf
Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation.
WWW
Da Yan, James Cheng, Yi Lu, Wilfred Ng
2015 J jnl
Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation.
CoRR
Da Yan, James Cheng, Yi Lu, Wilfred Ng
2015 J jnl
Efficient location-based search of trajectories with location importance.
Knowl. Inf. Syst.
Da Yan, James Cheng, Zhou Zhao, Wilfred Ng
2015 J jnl
Efficient processing of optimal meeting point queries in Euclidean space and road networks.
Knowl. Inf. Syst.
Da Yan, Zhou Zhao, Wilfred Ng
2015 J jnl
Probabilistic Convex Hull Queries over Uncertain Data.
IEEE Trans. Knowl. Data Eng.
Da Yan, Zhou Zhao, Wilfred Ng, Steven Liu
2014 J jnl
Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs.
Proc. VLDB Endow.
Da Yan, James Cheng, Yi Lu, Wilfred Ng
2014 J jnl
Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation.
Proc. VLDB Endow.
Yi Lu, James Cheng, Da Yan, Huanhuan Wu
2014 J jnl
Mining Probabilistically Frequent Sequential Patterns in Large Uncertain Databases.
IEEE Trans. Knowl. Data Eng.
Zhou Zhao, Da Yan, Wilfred Ng
2014 J jnl
Pregel Algorithms for Graph Connectivity Problems with Performance Guarantees.
Proc. VLDB Endow.
Da Yan, James Cheng, Kai Xing, Yi Lu, Wilfred Ng, Yingyi Bu
2013 A* conf
A transfer learning based framework of crowd-selection on twitter.
KDD
Zhou Zhao, Da Yan, Wilfred Ng, Shi Gao
2013 A* conf
Finding distance-preserving subgraphs in large road networks.
ICDE
Da Yan, James Cheng, Wilfred Ng, Steven Liu
2012 B conf
A probabilistic convex hull query tool.
EDBT
Zhou Zhao, Da Yan, Wilfred Ng
2012 A conf
Leveraging read rates of passive RFID tags for real-time indoor location tracking.
CIKM
Da Yan, Zhou Zhao, Wilfred Ng
2012 B conf
Mining probabilistically frequent sequential patterns in uncertain databases.
EDBT
Zhou Zhao, Da Yan, Wilfred Ng
2012 A conf
Monochromatic and bichromatic reverse nearest neighbor queries on land surfaces.
CIKM
Da Yan, Zhou Zhao, Wilfred Ng
2011 J jnl
Efficient Algorithms for Finding Optimal Meeting Point on Road Networks.
Proc. VLDB Endow.
Da Yan, Zhou Zhao, Wilfred Ng
2011 A conf
Efficient methods for finding influential locations with adaptive grids.
CIKM
Da Yan, Raymond Chi-Wing Wong, Wilfred Ng
2011 — conf
Robust Ranking of Uncertain Data.
DASFAA (1)
Da Yan, Wilfred Ng