"Computing Approximate Graph Edit Distance via Optimal Transport" (SIGMOD 2025)
Qihao Cheng, Da YAN, Tianhao Wu, Zhongyi Huang, Qin Zhang.
"Efficient Enumeration of Large Maximal k-Plexes" (EDBT 2025)
Qihao Cheng, Da YAN, Tianhao Wu, Lyuheng Yuan, Ji Cheng, Zhongyi Huang, Yang Zhou.
"Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods (Tutorial)" (SDM 2025)
Da YAN, Lyuheng Yuan, Akhlaque Ahmad, Chenguang Zheng, Hongzhi Chen, James Cheng.
"Scaling Terrain-Aware Spatial Machine Learning for Flood Mapping on Large-Scale Earth Imagery Data" (TSAS 2024)
Saugat Adhikari, Da YAN, Zhe Jiang, Jiao Han, Zelin Xu, Yupu Zhang, Arpan Man Sainju, Yang Zhou.
"Urban Traffic Simulation with Shared Mobility Services: An Approach Using Spatiotemporal Network Kernel Density Estimation and MATSim" (TSAS 2024)
Jalal Khalil, Da YAN, Lyuheng Yuan, Mostafa Jafarzadehfadaki, Saugat Adhikari, Virginia Sisiopiku, Zhe Jiang.
"Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods (Tutorial)" (IJCAI 2024) [Website], [PPT]
Da YAN, Lyuheng Yuan, Akhlaque Ahmad, Chenguang Zheng, Hongzhi Chen, James Cheng.
"Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods (Tutorial)" (KDD 2024) [Website]
Da YAN, Lyuheng Yuan, Akhlaque Ahmad, Chenguang Zheng, Hongzhi Chen, James Cheng.
"Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods (Tutorial)" (CIKM 2024) [Website]
Da YAN, Lyuheng Yuan, Akhlaque Ahmad, Saugat Adhikari.
"Advancing Certified Robustness of Explanation via Gradient Quantization" (CIKM 2024)
Yang Xiao, Zijie Zhang, Yuchen Fang, Da YAN, Yang Zhou, Wei-Shinn Ku and Bo Hui.
"DirDense: A Tool for Mining Dense Subgraphs from a Big Directed Graph" (CIKM 2024)
Jalal Khalil, Ahmad Akhlaque, Da YAN, Lyuheng Yuan, Saugat Adhikari, Yang Zhou and Zhe Jiang.
"BMT-BENCH: A Benchmark Sports Dataset for Video Generation" (ICIP 2024)
Ziang Shi, Yang Xiao, Da YAN, Min-Te Sun, Wei-Shinn Ku,Bo Hui.
"EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery" (IJCAI 2024)
Mirza Tanzim Sami, Da YAN, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou.
"Faster Depth-First Subgraph Matching on GPUs" (ICDE 2024)
Lyuheng Yuan, Da YAN, Jiao Han, Akhlaque Ahmad, Yang Zhou, Zhe Jiang.
"G2-AIMD: A Memory-Efficient Subgraph-Centric Framework for Efficient Subgraph Search on GPUs" (ICDE 2024)
Lyuheng Yuan, Akhlaque Ahmad, Da YAN, Jiao Han, Saugat Adhikari, Xiaodong Yu, Yang Zhou.
"FSM-Explorer: An Interactive Tool for Frequent Subgraph Pattern Mining from a Big Graph" (ICDE 2024) (Best Demo Runner-Up Award)
Jalal Khalil, Da YAN, Lyuheng Yuan, Jiao Han, Saugat Adhikari, Cheng Long, Yang Zhou.
"Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery" (AAAI 2024)
Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da YAN, Yang Zhou.
"Fraction-Score: A Generalized Support Measure for Weighted and Maximal Co-location Pattern Mining" (TKDE 2024)
Harry Kai-Ho Chan, Cheng Long, Da YAN, Raymond Chi-Wing Wong, Hua Lu.
"LENS: Label Sparsity-Tolerant Adversarial Learning on Spatial Deceptive Reviews" (GeoInformatica 2024)
Sirish Prabakar, Haiquan Chen, Zhe Jiang, Carl Yang, Weikuan Yu, Da YAN.
"Machine Learning and First-Principle Predictions of Materials with Low Lattice Thermal Conductivity" (Materials 2024)
Chia-Min Lin, Abishek Khatri, Da YAN, Cheng-Chien Chen.
"The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification" (Brain Sciences 2024)
Nguyen Huynh, Da YAN, Yueen Ma, Shengbin Wu, Cheng Long, Mirza Tanzim Sami, Abdullateef Almudaifer, Zhe Jiang, Haiquan Chen, Michael N. Dretsch, Thomas S. Denney, Rangaprakash Deshpande, Gopikrishna Deshpande.
"Analysis of Temporal and Spatial Patterns of Shared E-scooter Trips and their Impacts on Traffic Operations in Birmingham, AL" (CSuM 2024)
Mostafa Jafarzadehfadaki, Virginia P. Sisiopiku, Furat Salman, Da YAN, Jalal Khalil, Wencui Yang.
"Spatiotemporal Patterns and Influences of Demographic Characteristics and Land Use Patterns on Micromobility Ridership in Birmingham, Alabama" (Multimodal Transportation 2024)
Mostafa Jafarzadehfadaki, Virginia P. Sisiopiku, Wencui Yang, Dimitra Michalaka, Kweku Tekyi Brown, William J. Davis, Jalal Khalil, Da YAN.
"Machine Learning the Relationship Between Debye and Superconducting Transition Temperatures" (PHYSICAL REVIEW B 2023)
Adam D. Smith, Sumner B. Harris, Renato P. Camata, Da YAN, and Cheng-Chien Chen.
"Successfully Applying Lottery Ticket Hypothesis to Diffusion Model" (NeurIPS 2023 Workshop on Diffusion Models)
Chao Jiang, Bo Hui, Bohan Liu, Da YAN.
"Methods for AI-Enabled Water Treatment" (Abstract in 2023 AIChE Annual Meeting)
Da YAN, Robert Peters, Yang Zhou, Mohamed Mostafa.
"Structure Prediction and Materials Design with Generative Neural Networks" (Nature Computational Science 2023) [Open Access]
Da YAN, Adam D. Smith, Cheng-Chien Chen.
"T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph" (SIGMOD 2023)
Lyuheng Yuan, Da YAN, Wenwen Qu, Saugat Adhikari, Jalal Khalil, Cheng Long, Xiaoling Wang.
"Accelerating k-Core Decomposition by a GPU" (ICDE 2023)
Akhlaque Ahmad, Lyuheng Yuan, Da YAN, Guimu Guo, Jieyang Chen, Chengcui Zhang.
"Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams" (ICDE 2023)
Kaixin Wang, Cheng Long, Da YAN, Jie Zhang, H. V. Jagadish.
"Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing" (ICML 2023)
Jiaxiang Ren, Jiayin Jin, Yang Zhou, Lingjuan Lyu, Da YAN.
"Fast Federated Machine Unlearning with Nonlinear Functional Theory" (ICML 2023)
Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da YAN, Dejing Dou, Jun Huan, Jiaxiang Ren.
"Rethinking Graph Lottery Tickets: Graph Sparsity Matters" (ICLR 2023)
Bo Hui, Da YAN, Xiaolong Ma, Wei-Shinn Ku.
"Hidden Markov Forest for Terrain-Aware Flood Inundation Mapping on Earth Imagery" (SDM 2023)
Zhe Jiang, Yupu Zhang, Saugat Adhikari, Da YAN, Arpan Man Sainju, Xiaowei Jia, Yiqun Xie.
"Quantifying the Impact of Transportation Network Companies on Urban Congestion at a Medium Sized City" (Journal of Traffic and Transportation Engineering 2023) [Open Access]
Furat Salman, Virginia P. Sisiopiku, Jalal Khalil, Mostafa Jafarzadehfadaki, Da YAN.
"Operational Impacts of On-Demand Ride-Pooling Service Options in Birmingham, AL" (Future Transportation) [Open Access]
Furat Salman, Virginia P. Sisiopiku, Jalal Khalil, Wencui Yang, Da YAN.
"Biological Network Mining" (Biostatistics Research) [Open Access]
Zongliang Yue, Da YAN, Guimu Guo, Jake Chen.
"Federated Fingerprint Learning with Heterogeneous Architectures" (ICDM 2022) (One of the best-ranked papers for KAIS invitation)
Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da YAN, Ruoming Jin, Dejing Dou.
"Center-Based iPSC Colony Counting with Multi-Task Learning" (ICDM 2022)
Mirza Tanzim Sami, Da YAN, Bhadhan Roy Joy, Jalal Khalil, Ricardo Cevallos, Md Emon Hossain, Kejin Hu, Yang Zhou.
"MentalNet: Heterogeneous Graph Representation for Early Depression Detection" (ICDM 2022)
Ivan Mihov, Haiquan Chen, Xiao Qin, Wei-Shinn Ku, Da YAN, Yuhong Liu.
"Realistic Urban Traffic Simulation with Ride-Hailing Services: A Revisit to Network Kernel Density Estimation" (SIGSPATIAL 2022) (Best Paper Candidate)
Jalal Khalil, Da YAN, Lyuheng Yuan, Mostafa Jafarzadehfadaki, Saugat Adhikari, Virginia Sisiopiku, Zhe Jiang.
"An Elevation-Guided Annotation Tool for Flood Extent Mapping on Earth Imagery" (SIGSPATIAL 2022)
Saugat Adhikari, Da YAN, Mirza Tanzim Sami, Jalal Khalil, Lyuheng Yuan, Bhadhan Roy Joy, Zhe Jiang, Arpan Man Sainju.
"Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery" (KDD 2022)
Wenchong He, Marcus Kriby, Zhe Jiang, Yiqun Xie, Xiaowei Jia, Da YAN, Yang Zhou.
"Maximal Directed Quasi-Clique Mining" (ICDE 2022)
Guimu Guo, Da YAN, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou.
"Distributed Task-Based Training of Tree Models" (ICDE 2022)
Da YAN, Md Mashiur Rahman Chowdhury, Guimu Guo, Jalal Khalil, Zhe Jiang, Sushil Prasad.
"Mining Order-Preserving Submatrices Under Data Uncertainty: A Possible-World Approach and Efficient Approximation Methods" (ACM TODS 2022)
Ji Cheng, Da YAN, Wenwen Qu, Xiaotian Hao, Cheng Long, Wilfred Ng, Xiaoling Wang.
"Efficient Algorithms for Maximal k-Biplex Enumeration" (SIGMOD 2022)
Kaiqiang Yu, Cheng Long, Shengxin Liu, Da YAN.
"Time-sensitive POI Recommendation by Tensor Completion with Side Information" (ICDE 2022)
Bo Hui, Da YAN, Haiquan Chen, Wei-Shinn Ku.
"Parallel Mining of Large Maximal Quasi-Cliques" (VLDB Journal 2022) [LINK]
Jalal Khalil, Da YAN, Guimu Guo, Lyuheng Yuan.
"G-thinker: A General Distributed Framework for Finding Qualified Subgraphs in a Big Graph with Load Balancing" (VLDB Journal 2022) [LINK]
Da YAN, Guimu Guo, Jalal Khalil, M. Tamer Özsu, Wei-Shinn Ku, John C.S. Lui.
"PrefixFPM: A Parallel Framework for General-Purpose Mining of Frequent and Closed Patterns" (VLDB Journal 2022) [LINK]
Da YAN, Wenwen Qu, Guimu Guo, Xiaoling Wang, Yang Zhou.
"Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training" (TIST 2022) [LINK]
Wenchong He, Arpan Man Sainju, Zhe Jiang, Da YAN, Yang Zhou.
"Unsupervised Adversarial Network Alignment with Reinforcement Learning" (TKDD 2022) [LINK]
Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da YAN, Dejing Dou.
"Potential Benefits of Increased Public Transit Ridership in Medium Sized Cities: A Case Study" (Journal of Transportation Technologies 2022) [Open Access]
Taniya Sultana, Virginia Sisiopiku, Jalal Khalil, Da YAN.
"Improving Brain Dysfunction Prediction by GAN: A Functional-Connectivity Generator Approach" (IEEE BigData 2021)
Da YAN, Shengbin Wu, Mirza Tanzim Sami, Abdullateef Almudaifer, Zhe Jiang, Haiquan Chen, D. Rangaprakash, Gopikrishna Deshpande, Yueen Ma.
"Node-Polysemy Aware Recommendation by Matrix Completion with Side Information" (IEEE BigData 2021)
Bo Hui, Da YAN, and Wei-Shinn Ku.
"Drone-Based Tower Survey by Multi-Task Learning" (IEEE BigData 2021)
Mirza Tanzim Sami, Da YAN, Huang Huang, Xinyu Liang, Guimu Guo, and Zhe Jiang.
"Realistic Transport Simulation for Studying the Impacts of Shared Micromobility Services" (IEEE BigData 2021)
Jalal Khalil, Da YAN, Guimu Guo, Mirza Tanzim Sami, Joy Bhadhan Roy, Virginia P. Sisiopiku.
"Traffic Study of Shared Micromobility Services by Transportation Simulation" (BTSD@IEEE BigData 2021)
Jalal Khalil, Da YAN, Guimu Guo, Mirza Tanzim Sami, Joy Bhadhan Roy, Virginia P. Sisiopiku.
"Mapping Road Safety Barriers Across Street View Image Sequences: A Hybrid Object Detection and Recurrent Model" (GeoAI@SIGSPATIAL 2021)
Md Mostafijur Rahman, Arpan Man Sainju, Da YAN, Zhe Jiang.
"Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting" (ICDM 2021)
Bo Hui, Da YAN, Haiquan Chen, Wei-Shinn Ku.
"Adversarial Attack against Cross-lingual Knowledge Graph Alignment" (EMNLP 2021)
Zeru Zhang, Zijie Zhang, Yang Zhou, Lingfei Wu, Sixing Wu, Xiaoying Han, Dejing Dou, Tianshi Che, Da YAN.
"Biological Network Mining" (Modeling Transcriptional Regulation - Methods and Protocols, 2021)
Zongliang Yue, Da YAN, Guimu Guo, Jake Chen.
"MentalSpot: Effective Early Screening for Depression Based on Social Contagion" (CIKM 2021)
Jahandad Pirayesh, Haiquan Chen, Xiao Qin, Wei-Shinn Ku, Da YAN.
"Scalable de Novo Genome Assembly Using a Pregel-Like Graph-Parallel System" (IEEE/ACM TCBB 2021) [PDF]
Guimu Guo, Hongzhi Chen, Da YAN, James Cheng, Jake Chen, and Zechen Chong.
"TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction" (KDD 2021)
Bo Hui, Da YAN, Haiquan Chen, Wei-Shinn Ku.
"Weakly Supervised Spatial Deep Learning based on Imperfect Training Labels with Location Errors" (KDD 2021)
Zhe Jiang, Wenchong He, Marcus Kriby, Sultan Asiri, Da YAN.
"Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks" (ICML 2021)
Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da YAN.
"EDGE: Entity-Diffusion Gaussian Ensemble for Interpretable Tweet Geolocation Prediction" (ICDE 2021) [PDF]
Bo Hui, Haiquan Chen, Da YAN, Wei-Shinn Ku.
"Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy" (SDM 2021)
Wenchong He, Arpan Man Sainju, Zhe Jiang, Da YAN.
"The Future is Big Graphs! A Community View on Graph Processing Systems" (CACM 2021) [Open Access]
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.
"Machine Learning and Evolutionary Prediction of Superhard B-C-N Compounds" (npj Computational Materials 2021) [Open Access]
Wei-Chih Chen, Joanna N. Schmidt, Da YAN, Yogesh K. Vohra, Cheng-Chien Chen.
"Flood Inundation Mapping with Limited Observations Based on Physics-Aware Topography Constraint" (Frontiers in Big Data 2021) [Open Access]
Arpan Man Sainju, Wenchong He, Zhe Jiang, Da YAN, Haiquan Chen.
"Predicting Autism Spectrum Disorder from Brain Imaging Data by Graph Convolutional Network" (IJCNN 2021)
Yueen Ma, Da YAN, Cheng Long, D. Rangaprakash and Gopikrishna Deshpande.
"Forecasting Stock Prices Using Stock Correlation Graph: A Graph Convolutional Network Approach" (IJCNN 2021)
Xingkun Yin, Da YAN, Abdullateef Almudaifer, Sibo Yan, Yang Zhou.
"Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach" (PVLDB 2021) [PDF], [FULL REPORT]
Guimu Guo, Da YAN, M. Tamer Özsu, Zhe Jiang, Jalal Khalil.
"G-thinker: A Distributed Framework for Mining Subgraphs in a Big Graph" (ICDE 2020) [PDF], [VIDEO]
Da YAN, Guimu Guo, Md Mashiur Rahman Chowdhury, M. Tamer Özsu, Wei-Shinn Ku, John C.S. Lui.
"PrefixFPM: A Parallel Framework for General-Purpose Frequent Pattern Mining" (ICDE 2020) [PDF], [VIDEO]
Da YAN, Wenwen Qu, Guimu Guo, Xiaoling Wang.
"Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint" (AAAI 2020) [PDF]
Arpan Man Sainju, Wenchong He, Zhe Jiang, Da YAN.
"Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach" (CIKM 2020) [PDF]
Bo Hui, Da YAN, Wei-Shinn Ku and Wenlu Wang.
"Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators" (CIKM 2020) [PDF]
Yuechun Gu, Da YAN, Sibo Yan, Zhe Jiang.
"BELT: A Pipeline for Stock Price Prediction Using News" (IEEE BigData 2020) [PDF], [VIDEO]
Yingzhe Dong, Da YAN, Abdullateef Ibrahim Almudaifer, Sibo Yan, Zhe Jiang, and Yang Zhou.
"Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference" (IEEE BigData 2020)
Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Dejing Dou, and Da YAN.
"Systems and Algorithms for Massively Parallel Graph Mining (Tutorial)" (IEEE BigData 2020) [PPT], [VIDEO1], [VIDEO2]
Guimu Guo and Da YAN.
"Parallel Mining of Frequent Subtree Patterns" (LSGDA@VLDB 2020) [PDF], [PPT], [VIDEO]
Wenwen Qu, Da YAN, Guimu Guo, Xiaoling Wang, Lei Zou, Yang Zhou.
"Lane Extraction and Quality Evaluation: A Hough Transform Based Approach" (MIPR 2020) [PDF], [PPT], [VIDEO]
Xingyao Wang, Da YAN, Ke Chen, Yancong Deng, Cheng Long, Kunlin Zhang, Sibo Yan.
"Accurate Tensor Decomposition with Simultaneous Rank Approximation for Surveillance Videos" (ACSSC 2020) [PDF]
Ramin Goudarzi Karim, Guimu Guo, Da YAN, Carmeliza Navasca.
"EasyRain: A User-Friendly Platform for Comparing Precipitation Nowcasting Models" (IEEE BigData 2019) [PDF], [POSTER]
Ji Cheng, Guimu Guo, Da YAN, Xiaotian Hao, Wilfred Ng.
"Realistic Transport Simulation with Open Data" (IEEE BigData 2019) [PDF], [POSTER]
Guimu Guo, Jalal Majed Khalil, Da YAN, Virginia Sisiopiku.
"Realistic Transport Simulation: Tackling the Small Data Challenge with Open Data" (BTSD@IEEE BigData 2019) [PDF]
Guimu Guo, Jalal Majed Khalil, Da YAN, Virginia Sisiopiku.
"Lightweight Fault Tolerance in Pregel-Like Systems" (ICPP 2019) [PDF], [PPT]
Da YAN, James Cheng, Hongzhi Chen, Cheng Long, Purushotham Bangalore.
"Parallel Clique-Like Subgraph Counting and Listing" (ER 2019) [PDF]
Yi Yang, Da YAN, Shuigeng Zhou, Guimu Guo.
"T-thinker: A Task-Centric Distributed Framework For Compute-Intensive Divide-and-Conquer Algorithms" (PPoPP 2019) [PDF]
Da YAN, Guimu Guo, Md Mashiur Rahman Chowdhury, M. Tamer Özsu, John C.S. Lui, Weida Tan.
"Mining Order-Preserving Submatrices Under Data Uncertainty: A Possible-World Approach" (ICDE 2019) [PDF]
Ji Cheng, Da YAN, Xiaotian Hao, Wilfred Ng.
"Fraction-Score: A New Support Measure for Co-location Pattern Mining" (ICDE 2019) [PDF]
Harry Kai-Ho Chan, Cheng Long, Da YAN, Raymond Chi-Wing Wong.
"Parallel Graph Processing" (Encyclopedia of Big Data Technologies, Springer, 2019) [LINK]
Da YAN and Hang Liu.
"Volatility Estimation in the Era of High-Frequency Finance" (FinTech as a Disruptive Technology for Financial Institutions, IGI Global, 2019) [LINK]
Sibo Yan and Da YAN.
"GraphD: Distributed Vertex-Centric Graph Processing Beyond the Memory Limit" (TPDS 2018) [PDF]
Da YAN, Yuzhen Huang, Miao Liu, Hongzhi Chen, James Cheng, Huanhuan Wu, Chengcui Zhang.
"Scalable De Novo Genome Assembly Using Pregel" (ICDE 2018) [PDF]
Da YAN, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao
"G-Miner: An Efficient Task-Oriented Graph Mining System" (EuroSys 2018) [PDF]
Hongzhi Chen, Miao Liu, Yunjian Zhao, Xiao Yan, Da YAN, James Cheng.
"Fuzzy Double Trace Norm Minimization for Recommendation Systems" (IEEE Transactions on Fuzzy Systems 2018) [PDF]
Fanhua Shang, Yuanyuan Liu, James Cheng, Da YAN.
"Big Graph Analytics Platforms" (Foundations and Trends in Databases 2017) [PDF]
Da YAN, Yingyi Bu, Yuanyuan Tian, Amol Deshpande
"Architectural Implications on the Performance and Cost of Graph Analytics Systems" (SoCC 2017) [PDF]
Qizhen Zhang, Hongzhi Chen, Da YAN, James Cheng, Boon Thau Loo and Purushotham Bangalore
"Systems for Big Graph Analytics" (SpringerBriefs in Computer Science 2017) [BOOK LINK]
Da YAN, Yuanyuan Tian and James Cheng
"Efficient Processing of Growing Temporal Graphs" (DASFAA 2017) [PDF]
Huanhuan Wu, Yunjian Zhao, James Cheng, Da YAN
"Diversified Temporal Subgraph Pattern Mining" (KDD 2016) [PDF]
Yi Yang, Da YAN, Huanhuan Wu, James Cheng, Shuigeng Zhou, John C.S. Lui
"SGraph: A Distributed Streaming System For Processing Big Graphs" (BIGCOM 2016)
Cheng Chen, Hejun Wu, Da YAN and James Cheng
"Big Graph Analytics Systems" (SIGMOD 2016) [PDF], [PPT]
Da YAN, Yingyi Bu, Yuanyuan Tian, Amol Deshpande, James Cheng
"Quegel: A General-Purpose System for Querying Big Graphs" (SIGMOD 2016) [PDF]
Qizhen Zhang, Da YAN, James Cheng
"A General-Purpose Query-Centric Framework for Querying Big Graphs" (PVLDB 2016) [PDF], [PPT]
Da YAN, James Cheng, M. Tamer Özsu, Fan Yang, Yi Lu, John C.S. Lui, Qizhen Zhang, Wilfred Ng
"Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation" (WWW 2015) [PDF], [PPT]
Da YAN, James Cheng, Yi Lu and Wilfred Ng
"Core Decomposition in Large Temporal Graphs" (IEEE BigData 2015) [PDF]
Huanhuan Wu, James Cheng, Yi Lu, Yiping Ke, Yuzhen Huang, Da YAN and Hejun Wu
"Efficient Processing of Optimal Meeting Point Queries in Euclidean Space and Road Networks" (KAIS 2015) [PDF]
Da YAN, Zhou Zhao and Wilfred Ng
"Efficient Location-based Search of Trajectories with Location Importance" (KAIS 2015) [PDF]
Da YAN, James Cheng, Zhou Zhao and Wilfred Ng
"Probabilistic Convex Hull Queries over Uncertain Data" (TKDE 2015) [PDF]
Da YAN, Zhou Zhao, Wilfred Ng and Steven Liu
"Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation" (PVLDB 2014) [PDF]
Yi Lu, James Cheng, Da YAN and Huanhuan Wu
"Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs" (PVLDB 2014) [PDF], [PPT]
Da YAN, James Cheng, Yi Lu and Wilfred Ng
"Pregel Algorithms for Graph Connectivity Problems with Performance Guarantees" (PVLDB 2014) [PDF], [PPT]
Da YAN, James Cheng, Kai Xing, Yi Lu, Wilfred Ng and Yingyi Bu
"Mining Probabilistically Frequent Sequential Patterns in Large Uncertain Databases" (TKDE 2014) [PDF]
Zhou Zhao, Da YAN and Wilfred Ng
"A Transfer-Learning Based Framework of Crowd-Selection on Twitter" (KDD 2013) [PDF]
Zhou Zhao, Da YAN, Wilfred Ng and Shi Gao
"Finding Distance-Preserving Subgraphs in Large Road Networks" (ICDE 2013) (Student Travel Award) [PDF], [PPT]
Da YAN, James Cheng, Wilfred Ng and Steven Liu
"Leveraging Read Rates of Passive RFID Tags for Real-Time Indoor Location Tracking" (CIKM 2012) [PDF], [PPT]
Da YAN, Zhou Zhao and Wilfred Ng
"Monochromatic and Bichromatic Reverse Nearest Neighbor Queries on Land Surfaces" (CIKM 2012) [PDF], [PPT]
Da YAN, Zhou Zhao and Wilfred Ng
"Mining Probabilistically Frequent Sequential Patterns in Uncertain Databases" (EDBT 2012) [PDF], [PPT]
Zhou Zhao, Da YAN and Wilfred Ng
"A Probabilistic Convex Hull Query Tool for Animal Tracking" (EDBT 2012) [PDF]
Zhou Zhao, Da YAN and Wilfred Ng
"Efficient Methods for Finding Influential Locations with Adaptive Grids" (CIKM 2011) [PDF], [PPT]
Da YAN, Raymond Chi-Wing Wong and Wilfred Ng
"Efficient Algorithms for Finding Optimal Meeting Point on Road Networks" (PVLDB 2011) [PDF], [PPT]
Da YAN, Zhou Zhao and Wilfred Ng
"Robust Ranking of Uncertain Data" (DASFAA 2011) (Best Paper Award) [PDF], [PPT]
Da YAN and Wilfred Ng