Efficient methods for finding influential locations with adaptive grids. - Da Yan 001; Raymond Chi-Wing Wong; Wilfred Ng (CIKM, 2011)

Robust Ranking of Uncertain Data. - Da Yan 001; Wilfred Ng (DASFAA (1), 2011)

Efficient Algorithms for Finding Optimal Meeting Point on Road Networks. - Da Yan 001; Zhou Zhao 001; Wilfred Ng (Proc. VLDB Endow., 2011)

Leveraging read rates of passive RFID tags for real-time indoor location tracking. - Da Yan 001; Zhou Zhao 001; Wilfred Ng (CIKM, 2012)

Monochromatic and bichromatic reverse nearest neighbor queries on land surfaces. - Da Yan 001; Zhou Zhao 001; Wilfred Ng (CIKM, 2012)

Mining probabilistically frequent sequential patterns in uncertain databases. - Zhou Zhao 001; Da Yan 001; Wilfred Ng (EDBT, 2012)

A probabilistic convex hull query tool. - Zhou Zhao 001; Da Yan 001; Wilfred Ng (EDBT, 2012)

Finding distance-preserving subgraphs in large road networks. - Da Yan 001; James Cheng; Wilfred Ng; Steven Liu (ICDE, 2013)

A transfer learning based framework of crowd-selection on twitter. - Zhou Zhao 001; Da Yan 001; Wilfred Ng; Shi Gao (KDD, 2013)

Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation. - Yi Lu 010; James Cheng; Da Yan 001; Huanhuan Wu (Proc. VLDB Endow., 2014)

Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs. - Da Yan 001; James Cheng; Yi Lu 010; Wilfred Ng (Proc. VLDB Endow., 2014)

Pregel Algorithms for Graph Connectivity Problems with Performance Guarantees. - Da Yan 001; James Cheng; Kai Xing; Yi Lu 010; Wilfred Ng; Yingyi Bu (Proc. VLDB Endow., 2014)

Mining Probabilistically Frequent Sequential Patterns in Large Uncertain Databases. - Zhou Zhao 001; Da Yan 001; Wilfred Ng (IEEE Trans. Knowl. Data Eng., 2014)

Core decomposition in large temporal graphs. - Huanhuan Wu; James Cheng; Yi Lu 010; Yiping Ke; Yuzhen Huang; Da Yan 001; Hejun Wu (IEEE BigData, 2015)

Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation. - Da Yan 001; James Cheng; Yi Lu 010; Wilfred Ng (WWW, 2015)

Efficient location-based search of trajectories with location importance. - Da Yan 001; James Cheng; Zhou Zhao 001; Wilfred Ng (Knowl. Inf. Syst., 2015)

Efficient processing of optimal meeting point queries in Euclidean space and road networks. - Da Yan 001; Zhou Zhao 001; Wilfred Ng (Knowl. Inf. Syst., 2015)

Probabilistic Convex Hull Queries over Uncertain Data. - Da Yan 001; Zhou Zhao 001; Wilfred Ng; Steven Liu (IEEE Trans. Knowl. Data Eng., 2015)

SGraph: A Distributed Streaming System for Processing Big Graphs. - Cheng Chen; Hejun Wu; Dyce Jing Zhao; Da Yan 001; James Cheng (BigCom, 2016)

Diversified Temporal Subgraph Pattern Mining. - Yi Yang 029; Da Yan 001; Huanhuan Wu; James Cheng; Shuigeng Zhou; John C. S. Lui (KDD, 2016)

Big Graph Analytics Systems. - Da Yan 001; Yingyi Bu; Yuanyuan Tian 001; Amol Deshpande; James Cheng (SIGMOD Conference, 2016)

Quegel: A General-Purpose System for Querying Big Graphs. - Qizhen Zhang 001; Da Yan 001; James Cheng (SIGMOD Conference, 2016)

Quegel: A General-Purpose Query-Centric Framework for Querying Big Graphs. - Da Yan 001; James Cheng; M. Tamer Özsu; Fan Yang 091; Yi Lu 010; John C. S. Lui; Qizhen Zhang 001; Wilfred Ng (CoRR, 2016)

Lightweight Fault Tolerance in Large-Scale Distributed Graph Processing. - Da Yan 001; James Cheng; Fan Yang 091 (CoRR, 2016)

Efficient Processing of Very Large Graphs in a Small Cluster. - Da Yan 001; Yuzhen Huang; James Cheng; Huanhuan Wu (CoRR, 2016)

A General-Purpose Query-Centric Framework for Querying Big Graphs. - Da Yan 001; James Cheng; M. Tamer Özsu; Fan Yang 091; Yi Lu 010; John C. S. Lui; Qizhen Zhang 001; Wilfred Ng (Proc. VLDB Endow., 2016)

Architectural implications on the performance and cost of graph analytics systems. - Qizhen Zhang 001; Hongzhi Chen; Da Yan 001; James Cheng; Boon Thau Loo; Purushotham V. Bangalore (SoCC, 2017)

Efficient Processing of Growing Temporal Graphs. - Huanhuan Wu; Yunjian Zhao; James Cheng; Da Yan 001 (DASFAA (2), 2017)

G-thinker: Big Graph Mining Made Easier and Faster. - Da Yan 001; Hongzhi Chen; James Cheng; M. Tamer Özsu; Qizhen Zhang 001; John C. S. Lui (CoRR, 2017)

Big Graph Analytics Platforms. - Da Yan 001; Yingyi Bu; Yuanyuan Tian 001; Amol Deshpande (Found. Trends Databases, 2017)

Systems for Big Graph Analytics - Da Yan 001; Yuanyuan Tian 001; James Cheng (Springer, 2017)

G-Miner: an efficient task-oriented graph mining system. - Hongzhi Chen; Miao Liu 006; Yunjian Zhao; Xiao Yan 002; Da Yan 001; James Cheng (EuroSys, 2018)

Scalable De Novo Genome Assembly Using Pregel. - Da Yan 001; Hongzhi Chen; James Cheng; Zhenkun Cai; Bin Shao (ICDE, 2018)

Challenges Towards Deploying Data Intensive Scientific Applications on Extreme Heterogeneity Supercomputers. - Hang Liu; Yufei Ding 001; Da Zheng; Seung Woo Son 001; Da Yan 001 (CoRR, 2018)

Fuzzy Double Trace Norm Minimization for Recommendation Systems. - Fanhua Shang; Yuanyuan Liu 001; James Cheng; Da Yan 001 (IEEE Trans. Fuzzy Syst., 2018)

GraphD: Distributed Vertex-Centric Graph Processing Beyond the Memory Limit. - Da Yan 001; Yuzhen Huang; Miao Liu 006; Hongzhi Chen; James Cheng; Huanhuan Wu; Chengcui Zhang (IEEE Trans. Parallel Distributed Syst., 2018)

EasyRain: A User-Friendly Platform for Comparing Precipitation Nowcasting Models. - Ji Cheng 002; Guimu Guo; Da Yan 001; Xiaotian Hao; Wilfred Ng (IEEE BigData, 2019)

Realistic Transport Simulation: Tackling the Small Data Challenge with Open Data. - Guimu Guo; Jalal Majed Khalil; Da Yan 001; Virginia P. Sisiopiku (IEEE BigData, 2019)

Realistic Transport Simulation with Open Data. - Guimu Guo; Jalal Majed Khalil; Da Yan 001; Virginia P. Sisiopiku (IEEE BigData, 2019)

Parallel Clique-Like Subgraph Counting and Listing. - Yi Yang 029; Da Yan 001; Shuigeng Zhou; Guimu Guo (ER, 2019)

Fraction-Score: A New Support Measure for Co-location Pattern Mining. - Harry Kai-Ho Chan; Cheng Long 001; Da Yan 001; Raymond Chi-Wing Wong (ICDE, 2019)

Mining Order-Preserving Submatrices Under Data Uncertainty: A Possible-World Approach. - Ji Cheng 002; Da Yan 001; Xiaotian Hao; Wilfred Ng (ICDE, 2019)

Lightweight Fault Tolerance in Pregel-Like Systems. - Da Yan 001; James Cheng; Hongzhi Chen; Cheng Long 001; Purushotham V. Bangalore (ICPP, 2019)

T-thinker: a task-centric distributed framework for compute-intensive divide-and-conquer algorithms. - Da Yan 001; Guimu Guo; Md Mashiur Rahman Chowdhury; M. Tamer Özsu; John C. S. Lui; Weida Tan (PPoPP, 2019)

Parallel Graph Processing. - Da Yan 001; Hang Liu (Encyclopedia of Big Data Technologies, 2019)

Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint. - Arpan Man Sainju; Wenchong He; Zhe Jiang 001; Da Yan 001 (AAAI, 2020)

Accurate Tensor Decomposition with Simultaneous Rank Approximation for Surveillance Videos. - Ramin Goudarzi Karim; Guimu Guo; Da Yan 001; Carmeliza Navasca (ACSSC, 2020)

BELT: A Pipeline for Stock Price Prediction Using News. - Yingzhe Dong; Da Yan 001; Abdullateef Ibrahim Almudaifer; Sibo Yan; Zhe Jiang 001; Yang Zhou 001 (IEEE BigData, 2020)

Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference. - Yang Zhou 001; Jiaxiang Ren 001; Ruoming Jin; Zijie Zhang 001; Dejing Dou; Da Yan 001 (IEEE BigData, 2020)

Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators. - Yuechun Gu; Da Yan 001; Sibo Yan; Zhe Jiang 001 (CIKM, 2020)

Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach. - Bo Hui 001; Da Yan 001; Wei-Shinn Ku; Wenlu Wang (CIKM, 2020)

G-thinker: A Distributed Framework for Mining Subgraphs in a Big Graph. - Da Yan 001; Guimu Guo; Md Mashiur Rahman Chowdhury; M. Tamer Özsu; Wei-Shinn Ku; John C. S. Lui (ICDE, 2020)

PrefixFPM: A Parallel Framework for General-Purpose Frequent Pattern Mining. - Da Yan 001; Wenwen Qu; Guimu Guo; Xiaoling Wang 004 (ICDE, 2020)

Lane Extraction and Quality Evaluation: A Hough Transform Based Approach. - Xingyao Wang 002; Da Yan 001; Ke Chen; Yancong Deng; Cheng Long 001; Kunlin Zhang; Sibo Yan (MIPR, 2020)

Parallel Mining of Frequent Subtree Patterns. - Wenwen Qu; Da Yan 001; Guimu Guo; Xiaoling Wang 004; Lei Zou 001; Yang Zhou 001 (SFDI/LSGDA@VLDB, 2020)

Proceedings of the 2019 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. - Jonathan D. Wren; Yongsheng Bai; Zhaohui S. Qin; Da Yan 001; Ramin Homayouni (BMC Bioinform., 2020)

Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. - Guimu Guo; Da Yan 001; M. Tamer Özsu; Zhe Jiang 001 (CoRR, 2020)

Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint. - Arpan Man Sainju; Wenchong He; Zhe Jiang 001; Da Yan 001; Haiquan Chen (CoRR, 2020)

Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. - Guimu Guo; Da Yan 001; M. Tamer Özsu; Zhe Jiang 001; Jalal Khalil (Proc. VLDB Endow., 2020)

Guest Editorial for Selected Papers from BIOKDD 2018 and DMBIH 2018. - Da Yan 001; Xin Gao 001; Samah J. Fodeh; Jake Y. Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Improving Brain Dysfunction Prediction by GAN: A Functional-Connectivity Generator Approach. - Da Yan 001; Shengbin Wu; Mirza Tanzim Sami; Abdullateef Ibrahim Almudaifer; Zhe Jiang 001; Haiquan Chen; D. Rangaprakash; Gopikrishna Deshpande; Yueen Ma 001 (IEEE BigData, 2021)

Node-Polysemy Aware Recommendation by Matrix Completion with Side Information. - Bo Hui 001; Da Yan 001; Wei-Shinn Ku (IEEE BigData, 2021)

Traffic Study of Shared Micromobility Services by Transportation Simulation. - Jalal Khalil; Da Yan 001; Guimu Guo; Mirza Tanzim Sami; Joy Bhadhan Roy; Virginia P. Sisiopiku (IEEE BigData, 2021)

Realistic Transport Simulation for Studying the Impacts of Shared Micromobility Services. - Jalal Khalil; Da Yan 001; Guimu Guo; Mirza Tanzim Sami; Joy Bhadhan Roy; Virginia P. Sisiopiku (IEEE BigData, 2021)

Drone-Based Tower Survey by Multi-Task Learning. - Mirza Tanzim Sami; Da Yan 001; Huang Huang; Xinyu Liang; Guimu Guo; Zhe Jiang 001 (IEEE BigData, 2021)

MentalSpot: Effective Early Screening for Depression Based on Social Contagion. - Jahandad Pirayesh; Haiquan Chen; Xiao Qin 001; Wei-Shinn Ku; Da Yan 001 (CIKM, 2021)

Adversarial Attack against Cross-lingual Knowledge Graph Alignment. - Zeru Zhang; Zijie Zhang 001; Yang Zhou 001; Lingfei Wu 001; Sixing Wu; Xiaoying Han; Dejing Dou; Tianshi Che; Da Yan 001 (EMNLP (1), 2021)

Mapping Road Safety Barriers Across Street View Image Sequences: A Hybrid Object Detection and Recurrent Model. - Md Mostafijur Rahman; Arpan Man Sainju; Da Yan 001; Zhe Jiang 001 (GeoAI@SIGSPATIAL, 2021)

EDGE: Entity-Diffusion Gaussian Ensemble for Interpretable Tweet Geolocation Prediction. - Bo Hui 001; Haiquan Chen; Da Yan 001; Wei-Shinn Ku (ICDE, 2021)

Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting. - Bo Hui 001; Da Yan 001; Haiquan Chen; Wei-Shinn Ku (ICDM, 2021)

Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks. - Xin Zhao; Zeru Zhang; Zijie Zhang 001; Lingfei Wu 001; Jiayin Jin; Yang Zhou 001; Ruoming Jin; Dejing Dou; Da Yan 001 (ICML, 2021)

Predicting Autism Spectrum Disorder from Brain Imaging Data by Graph Convolutional Network. - Yueen Ma 001; Da Yan 001; Cheng Long 001; D. Rangaprakash; Gopikrishna Deshpande (IJCNN, 2021)

Forecasting Stock Prices Using Stock Correlation Graph: A Graph Convolutional Network Approach. - Xingkun Yin; Da Yan 001; Abdullateef Ibrahim Almudaifer; Sibo Yan; Yang Zhou 001 (IJCNN, 2021)

Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors. - Zhe Jiang 001; Wenchong He; Marcus Stephen Kirby; Sultan Asiri; Da Yan 001 (KDD, 2021)

20th International Workshop on Data Mining in Bioinformatics (BIOKDD 2021). - Da Yan 001; Steve Qin; Debswapna Bhattacharya; Jake Y. Chen; Mohammed J. Zaki (KDD, 2021)

TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction. - Bo Hui 001; Da Yan 001; Haiquan Chen; Wei-Shinn Ku (KDD, 2021)

Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. - Wenchong He; Arpan Man Sainju; Zhe Jiang 001; Da Yan 001 (SDM, 2021)

The future is big graphs: a community view on graph processing systems. - 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; et al. (Commun. ACM, 2021)

Flood Inundation Mapping with Limited Observations Based on Physics-Aware Topography Constraint. - Arpan Man Sainju; Wenchong He; Zhe Jiang 001; Da Yan 001; Haiquan Chen (Frontiers Big Data, 2021)

Editorial: AI-Enabled Data Science for COVID-19. - Da Yan 001; Hong Qin 003; Hsiang-Yun Wu; Jake Y. Chen (Frontiers Big Data, 2021)

Scalable De Novo Genome Assembly Using a Pregel-Like Graph-Parallel System. - Guimu Guo; Hongzhi Chen; Da Yan 001; James Cheng; Jake Y. Chen; Zechen Chong (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Guest Editorial for Selected Papers From BIOKDD 2019. - Da Yan 001; Sharma V. Thankachan; Jake Y. Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

An elevation-guided annotation tool for flood extent mapping on earth imagery (demo paper). - Saugat Adhikari; Da Yan 001; Mirza Tanzim Sami; Jalal Khalil; Lyuheng Yuan; Bhadhan Roy Joy; Zhe Jiang 001; Arpan Man Sainju (SIGSPATIAL/GIS, 2022)

Realistic urban traffic simulation with ride-hailing services: a revisit to network kernel density estimation (systems paper). - Jalal Khalil; Da Yan 001; Lyuheng Yuan; Mostafa Jafarzadehfadaki; Saugat Adhikari; Virginia P. Sisiopiku; Zhe Jiang 001 (SIGSPATIAL/GIS, 2022)

Maximal Directed Quasi -Clique Mining. - Guimu Guo; Da Yan 001; Lyuheng Yuan; Jalal Khalil; Cheng Long 001; Zhe Jiang 001; Yang Zhou 001 (ICDE, 2022)

Time-sensitive POI Recommendation by Tensor Completion with Side Information. - Bo Hui 001; Da Yan 001; Haiquan Chen; Wei-Shinn Ku (ICDE, 2022)

Distributed Task-Based Training of Tree Models. - Da Yan 001; Md Mashiur Rahman Chowdhury; Guimu Guo; Jalal Khalil; Zhe Jiang 001; Sushil K. Prasad (ICDE, 2022)

Federated Fingerprint Learning with Heterogeneous Architectures. - Tianshi Che; Zijie Zhang 001; Yang Zhou 001; Xin Zhao; Ji Liu 003; Zhe Jiang 001; Da Yan 001; Ruoming Jin; Dejing Dou (ICDM, 2022)

MentalNet: Heterogeneous Graph Representation for Early Depression Detection. - Ivan Mihov; Haiquan Chen; Xiao Qin 001; Wei-Shinn Ku; Da Yan 001; Yuhong Liu (ICDM, 2022)

Center-Based iPSC Colony Counting with Multi-Task Learning. - Mirza Tanzim Sami; Da Yan 001; Bhadhan Roy Joy; Jalal Khalil; Ricardo Cevallos; Md. Emon Hossain; Kejin Hu; Yang Zhou 001 (ICDM, 2022)

21th International Workshop on Data Mining in Bioinformatics (BIOKDD 2022). - Da Yan 001; Catia Pesquita; Carsten Görg; Jake Y. Chen; Mohammed J. Zaki (KDD, 2022)

Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. - Wenchong He; Zhe Jiang 001; Marcus Kriby; Yiqun Xie; Xiaowei Jia; Da Yan 001; Yang Zhou 001 (KDD, 2022)

Efficient Algorithms for Maximal k-Biplex Enumeration. - Kaiqiang Yu; Cheng Long 001; Shengxin Liu; Da Yan 001 (SIGMOD Conference, 2022)

Bringing Graph Databases and Network Visualization Together (Dagstuhl Seminar 22031). - Karsten Klein 001; Juan F. Sequeda; Hsiang-Yun Wu; Da Yan 001 (Dagstuhl Reports, 2022)

Guest Editorial for Selected Papers From BIOKDD 2021. - Da Yan 001; Zhaohui S. Qin; Debswapna Bhattacharya; Jake Y. Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Guest Editorial for Selected Papers From BIOKDD 2020. - Da Yan 001; Hong Qin 003; Hsiang-Yun Wu; Jake Y. Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training. - Wenchong He; Arpan Man Sainju; Zhe Jiang 001; Da Yan 001; Yang Zhou 001 (ACM Trans. Intell. Syst. Technol., 2022)

Unsupervised Adversarial Network Alignment with Reinforcement Learning. - Yang Zhou 001; Jiaxiang Ren 001; Ruoming Jin; Zijie Zhang 001; Jingyi Zheng; Zhe Jiang 001; Da Yan 001; Dejing Dou (ACM Trans. Knowl. Discov. Data, 2022)

Mining Order-preserving Submatrices under Data Uncertainty: A Possible-world Approach and Efficient Approximation Methods. - Ji Cheng 002; Da Yan 001; Wenwen Qu; Xiaotian Hao; Cheng Long 001; Wilfred Ng; Xiaoling Wang 004 (ACM Trans. Database Syst., 2022)

Parallel mining of large maximal quasi-cliques. - Jalal Khalil; Da Yan 001; Guimu Guo; Lyuheng Yuan (VLDB J., 2022)

G-thinker: a general distributed framework for finding qualified subgraphs in a big graph with load balancing. - Da Yan 001; Guimu Guo; Jalal Khalil; M. Tamer Özsu; Wei-Shinn Ku; John C. S. Lui (VLDB J., 2022)

PrefixFPM: a parallel framework for general-purpose mining of frequent and closed patterns. - Da Yan 001; Wenwen Qu; Guimu Guo; Xiaoling Wang 004; Yang Zhou 001 (VLDB J., 2022)

Accelerating k-Core Decomposition by a GPU. - Akhlaque Ahmad; Lyuheng Yuan; Da Yan 001; Guimu Guo; Jieyang Chen; Chengcui Zhang (ICDE, 2023)

Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. - Kaixin Wang; Cheng Long 001; Da Yan 001; Jie Zhang 002; H. V. Jagadish (ICDE, 2023)

Rethinking Graph Lottery Tickets: Graph Sparsity Matters. - Bo Hui 001; Da Yan 001; Xiaolong Ma; Wei-Shinn Ku (ICLR, 2023)

Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing. - Jiaxiang Ren 001; Yang Zhou 001; Jiayin Jin; Lingjuan Lyu; Da Yan 001 (ICML, 2023)

Fast Federated Machine Unlearning with Nonlinear Functional Theory. - Tianshi Che; Yang Zhou 001; Zijie Zhang 001; Lingjuan Lyu; Ji Liu 003; Da Yan 001; Dejing Dou; Jun Huan (ICML, 2023)

22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023). - Da Yan 001; Ariful Azad; Jie Hou 001; Jake Y. Chen; Mohammed J. Zaki (KDD, 2023)

A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth Imagery. - Zhe Jiang 001; Yupu Zhang; Saugat Adhikari; Da Yan 001; Arpan Man Sainju; Xiaowei Jia; Yiqun Xie (SDM, 2023)

Effective Network Analytics: Network Visualization and Graph Data Management. - Hsiang-Yun Wu; Karsten Klein 001; Da Yan 001 (IEEE Computer Graphics and Applications, 2023)

A Summary of ICDE 2022 Research Session Panels. - Zhifeng Bao; Panagiotis Bouros; Reynold Cheng; Byron Choi; Anton Dignös; Wei Ding 003; Yixiang Fang; Boyang Han; Jilin Hu; Arijit Khan 001; Wenqing Lin; Xuemin Lin 001; et al. (IEEE Data Eng. Bull., 2023)

Structure prediction and materials design with generative neural networks. - Da Yan 001; Adam D. Smith 002; Cheng-Chien Chen (Nat. Comput. Sci., 2023)

T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph. - Lyuheng Yuan; Da Yan 001; Wenwen Qu; Saugat Adhikari; Jalal Khalil; Cheng Long 001; Xiaoling Wang 004 (Proc. ACM Manag. Data, 2023)

Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery. - Zelin Xu 001; Tingsong Xiao; Wenchong He; Yu Wang 044; Zhe Jiang 001; Shigang Chen; Yiqun Xie; Xiaowei Jia; Da Yan 001; Yang Zhou 001 (AAAI, 2024)

Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods. - Da Yan 001; Lyuheng Yuan; Akhlaque Ahmad; Saugat Adhikari (CIKM, 2024)

DirDense: A Tool for Mining Dense Subgraphs from a Big Directed Graph. - Jalal Khalil; Akhlaque Ahmad; Da Yan 001; Lyuheng Yuan; Saugat Adhikari; Yang Zhou 001; Zhe Jiang 001 (CIKM, 2024)

Advancing Certified Robustness of Explanation via Gradient Quantization. - Yang Xiao; Zijie Zhang 001; Yuchen Fang 001; Da Yan 001; Yang Zhou 001; Wei-Shinn Ku; Bo Hui 001 (CIKM, 2024)

FSM-Explorer: An Interactive Tool for Frequent Subgraph Pattern Mining From a Big Graph. - Jalal Khalil; Da Yan 001; Lyuheng Yuan; Jiao Han; Saugat Adhikari; Cheng Long 001; Yang Zhou 001 (ICDE, 2024)

Faster Depth-First Subgraph Matching on GPUs. - Lyuheng Yuan; Da Yan 001; Jiao Han; Akhlaque Ahmad; Yang Zhou 001; Zhe Jiang 001 (ICDE, 2024)

G2-AIMD: A Memory-Efficient Subgraph-Centric Framework for Efficient Subgraph Finding on GPUs. - Lyuheng Yuan; Akhlaque Ahmad; Da Yan 001; Jiao Han; Saugat Adhikari; Xiaodong Yu; Yang Zhou 001 (ICDE, 2024)

Bmt-Bench: A Benchmark Sports Dataset For Video Generation. - Ziang Shi; Yang Xiao; Da Yan 001; Min-Te Sun; Wei-Shinn Ku; Bo Hui 001 (ICIP, 2024)

EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery. - Mirza Tanzim Sami; Da Yan 001; Saugat Adhikari; Lyuheng Yuan; Jiao Han; Zhe Jiang 001; Jalal Khalil; Yang Zhou 001 (IJCAI, 2024)

23rd International Workshop on Data Mining in Bioinformatics (BIOKDD 2024). - Da Yan 001; Ahmed Abdeen Hamed; Jake Y. Chen; Mohammed J. Zaki (KDD, 2024)

Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods. - Da Yan 001; Lyuheng Yuan; Akhlaque Ahmad; Chenguang Zheng; Hongzhi Chen; James Cheng (KDD, 2024)

Enabling Quick, Accurate Crowdsourced Annotation for Elevation-Aware Flood Extent Mapping. - Landon Dyken; Saugat Adhikari; Pravin Poudel; Steve Petruzza; Da Yan 001; Will Usher 001; Sidharth Kumar (CoRR, 2024)

Guest Editorial Selected Papers From BIOKDD 2022. - Da Yan 001; Catia Pesquita; Carsten Görg; Jake Y. Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Fraction-Score: A Generalized Support Measure for Weighted and Maximal Co-Location Pattern Mining. - Harry Kai-Ho Chan; Cheng Long 001; Da Yan 001; Raymond Chi-Wing Wong; Hua Lu 001 (IEEE Trans. Knowl. Data Eng., 2024)

Efficient Enumeration of Large Maximal k-Plexes. - Qihao Cheng; Da Yan 001; Tianhao Wu 006; Lyuheng Yuan; Ji Cheng 002; Zhongyi Huang; Yang Zhou 001 (EDBT, 2025)

Enabling Fast and Accurate Crowdsourced Annotation for Elevation-Aware Flood Extent Mapping. - Landon Dyken; Saugat Adhikari; Pravin Poudel; Steve Petruzza; Da Yan 001; Will Usher 001; Sidharth Kumar (PacificVis, 2025)

Computing Approximate Graph Edit Distance via Optimal Transport. - Qihao Cheng; Da Yan 001; Tianhao Wu 006; Zhongyi Huang; Qin Zhang 001 (Proc. ACM Manag. Data, 2025)

LENS: label sparsity-tolerant adversarial learning on spatial deceptive reviews. - Sirish Prabakar; Haiquan Chen; Zhe Jiang 001; Carl Yang 001; Weikuan Yu; Da Yan 001 (GeoInformatica, 2025)

Scaling Terrain-Aware Spatial Machine Learning for Flood Mapping on Large Scale Earth Imagery Data. - Saugat Adhikari; Da Yan 001; Zhe Jiang 001; Jiao Han; Zelin Xu 001; Yupu Zhang; Arpan Man Sainju; Yang Zhou 001 (ACM Trans. Spatial Algorithms Syst., 2025)