Yiqun Xie

Orcid: 0000-0002-6439-1333

According to our database1, Yiqun Xie authored at least 78 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration.
IEEE Trans. Knowl. Data Eng., September, 2024

When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imagery.
CoRR, 2024

Nature-Guided Cognitive Evolution for Predicting Dissolved Oxygen Concentrations in North Temperate Lakes.
CoRR, 2024

Satellite-based soybean yield prediction in Argentina: A comparison between panel regression and deep learning methods.
Comput. Electron. Agric., 2024

Spatial-Temporal Augmented Adaptation via Cycle-Consistent Adversarial Network: An Application in Streamflow Prediction.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Only Attending What Matter within Trajectories - <i>Memory-Efficient Trajectory Attention</i>.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Evolution-Based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Referee-Meta-Learning for Fast Adaptation of Locational Fairness.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19.
Knowl. Inf. Syst., November, 2023

Harnessing heterogeneity in space with statistically guided meta-learning.
Knowl. Inf. Syst., June, 2023

Physics-guided machine learning from simulated data with different physical parameters.
Knowl. Inf. Syst., 2023

Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey.
ACM Comput. Surv., 2023

FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems.
CoRR, 2023

Physics-guided Graph Diffusion Network for Combining Heterogeneous Simulated Data: An Application in Predicting Stream Water Temperature.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Physics-Guided Meta-Learning Method in Baseflow Prediction over Large Regions.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth Imagery.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Confidence-based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CGS: Coupled Growth and Survival Model with Cohort Fairness.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations.
Proceedings of the IEEE International Conference on Data Mining, 2023

Rethinking Data Distillation: Do Not Overlook Calibration.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Geo-Foundation Models: Reality, Gaps and Opportunities.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

High-Fidelity Deep Approximation of Ecosystem Simulation over Long-Term at Large Scale.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Towards Inherently Interpretable Deep Learning for Accelerating Scientific Discoveries in Climate Science.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features.
ACM Trans. Intell. Syst. Technol., 2022

Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19.
Proceedings of the IEEE International Conference on Data Mining, 2022

Sailing in the location-based fairness-bias sphere.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Deep semantic segmentation for building detection using knowledge-informed features from LiDAR point clouds.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

CSCD: towards spatially resolving the heterogeneous landscape of MxIF oncology data.
Proceedings of the 10th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2022

VIMTS: Variational-based Imputation for Multi-modal Time Series.
Proceedings of the IEEE International Conference on Big Data, 2022

Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Significant DBSCAN+: Statistically Robust Density-based Clustering.
ACM Trans. Intell. Syst. Technol., 2021

Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach.
ACM Trans. Intell. Syst. Technol., 2021

Large-Scale River Mapping Using Contrastive Learning and Multi-Source Satellite Imagery.
Remote. Sens., 2021

Discovering regions of anomalous spatial co-locations.
Int. J. Geogr. Inf. Sci., 2021

A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity.
Proceedings of the IEEE International Conference on Data Mining, 2021

Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems.
Proceedings of the IEEE International Conference on Data Mining, 2021

Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

2020
Significant spatial co-distribution pattern discovery.
Comput. Environ. Urban Syst., 2020

Discovering Interesting Subpaths with Statistical Significance from Spatiotemporal Datasets.
ACM Trans. Intell. Syst. Technol., 2020

A Unified Framework for Robust and Efficient Hotspot Detection in Smart Cities.
Trans. Data Sci., 2020

Physics-guided Energy-efficient Path Selection Using On-board Diagnostics Data.
Trans. Data Sci., 2020

A locally-constrained YOLO framework for detecting small and densely-distributed building footprints.
Int. J. Geogr. Inf. Sci., 2020

Towards Spatial Variability Aware Deep Neural Networks (SVANN): A Summary of Results.
CoRR, 2020

Discovering Spatial Mixture Patterns of Interest.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Significant lagrangian linear hotspot discovery.
Proceedings of the IWCTS@SIGSPATIAL 2020: Proceedings of the 13th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2020

COVID-GAN: Estimating Human Mobility Responses to COVID-19 Pandemic through Spatio-Temporal Conditional Generative Adversarial Networks.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

2019
Significant DBSCAN towards Statistically Robust Clustering.
Proceedings of the 16th International Symposium on Spatial and Temporal Databases, 2019

A Nondeterministic Normalization based Scan Statistic (NN-scan) towards Robust Hotspot Detection: A Summary of Results.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

NDVI Versus CNN Features in Deep Learning for Land Cover Clasification of Aerial Images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Revolutionizing Tree Management via Intelligent Spatial Techniques.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Analyzing Domain Knowledge for Big Data Analysis: A Case Study with Urban Tree Type Classification.
Proceedings of the Big Data Analytics - 7th International Conference, 2019

2018
Transforming Smart Cities with Spatial Computing.
Proceedings of the IEEE International Smart Cities Conference, 2018

A TIMBER Framework for Mining Urban Tree Inventories Using Remote Sensing Datasets.
Proceedings of the IEEE International Conference on Data Mining, 2018

An unsupervised augmentation framework for deep learning based geospatial object detection: a summary of results.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

2017
Collaborative Geodesign and Spatial Optimization for Fragmentation-Free Land Allocation.
ISPRS Int. J. Geo Inf., 2017

Transdisciplinary Foundations of Geospatial Data Science.
ISPRS Int. J. Geo Inf., 2017

FF-SA: Fragmentation-Free Spatial Allocation.
Proceedings of the Advances in Spatial and Temporal Databases, 2017

Spatially Constrained Geodesign Optimization (GOP) for Improving Agricultural Watershed Sustainability.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Data Science for Food, Energy and Water: A Workshop Report.
SIGKDD Explor., 2016

2014
Melting of icosahedral nickel clusters under hydrostatic pressure.
J. Comput. Chem., 2014

Ring-Shaped Hotspot Detection: A Summary of Results.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
Crater Detection Using the Morphological Characteristics of Chang'E-1 Digital Elevation Models.
IEEE Geosci. Remote. Sens. Lett., 2013

2006
A 6.25GHz 1V LC-PLL in 0.13µm CMOS.
Proceedings of the 2006 IEEE International Solid State Circuits Conference, 2006

2005
A 6.25-Gb/s binary transceiver in 0.13-μm CMOS for serial data transmission across high loss legacy backplane channels.
IEEE J. Solid State Circuits, 2005


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