Yiqun Xie

138 papers A* 30A 12B 5C 1Journal 59Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
AgroFlux: A Spatial-Temporal Benchmark for Carbon and Nitrogen Flux Prediction in Agricultural Ecosystems.
CoRR
Qi Cheng, Licheng Liu, Yao Zhang, Mu Hong, Yiqun Xie, Xiaowei Jia
2026 A* conf
EcoDiffusion: Uncertainty-Aware Emulation of Ecosystem Processes with Conditional Diffusion for Long Sequences with Single-Step Initialization.
AAAI
Ruohan Li, Zhihao Wang, Xiaowei Jia, Gengchen Mai, Lei Ma, George C. Hurtt, Quan Shen, Zhili Li, Yiqun Xie
2026 A* conf
GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction.
AAAI
Shiyuan Luo, Chonghao Qiu, Runlong Yu, Yiqun Xie, Xiaowei Jia
2026 J jnl
Learning PDE Solvers with Physics and Data: A Unifying View of Physics-Informed Neural Networks and Neural Operators.
CoRR
Yilong Dai, Shengyu Chen, Ziyi Wang, Xiaowei Jia, Yiqun Xie, Vipin Kumar, Runlong Yu
2026 J jnl
Retrieval-Augmented Multi-scale Framework for County-Level Crop Yield Prediction Across Large Regions.
CoRR
Yiming Sun, Qi Cheng, Licheng Liu, Runlong Yu, Yiqun Xie, Xiaowei Jia
2026 J jnl
Role-Aware Conditional Inference for Spatiotemporal Ecosystem Carbon Flux Prediction.
CoRR
Yiming Sun, Runlong Yu, Rongchao Dong, Shuo Chen, Licheng Liu, Youmi Oh, Qianlai Zhuang, Yiqun Xie, Xiaowei Jia
2026 — conf
X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI.
KDD (1)
Yiming Sun, Shuo Chen, Shengyu Chen, Chonghao Qiu, Licheng Liu, Youmi Oh, Sparkle L. Malone, Gavin McNicol, Qianlai Zhuang, Chris Smith, Yiqun Xie, Xiaowei Jia
2025 — conf
A Survey of Foundation Models for Environmental Science.
PAKDD (6)
Runlong Yu, Shengyu Chen, Yiqun Xie, Xiaowei Jia
2025 J jnl
A Survey of Foundation Models for Environmental Science.
CoRR
Runlong Yu, Shengyu Chen, Yiqun Xie, Xiaowei Jia
2025 — conf
Coincident Data Discovery Engine: A Portal for Global-Scale Cross-Platform Satellite Data Search.
SIGSPATIAL/GIS
Ruichen Wang, Yiqun Xie, Leo Du, Jia Yu, Kyle Duncan, Sinéad Louise Farrell, Zhili Li, Kangyang Chai
2025 A conf
Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems.
SDM
Yiming Sun, Runlong Yu, Runxue Bao, Yiqun Xie, Ye Ye, Xiaowei Jia
2025 J jnl
Environmental Computing as a Branch of Science.
Commun. ACM
Runlong Yu, Yiqun Xie, Xiaowei Jia
2025 J jnl
Foundation Models for Environmental Science: A Survey of Emerging Frontiers.
CoRR
Runlong Yu, Shengyu Chen, Yiqun Xie, Huaxiu Yao, Jared Willard, Xiaowei Jia
2025 J jnl
GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction.
CoRR
Shiyuan Luo, Chonghao Qiu, Runlong Yu, Yiqun Xie, Xiaowei Jia
2025 — conf
Geo-Aware Models for Stream Temperature Prediction across Different Spatial Regions and Scales.
SIGSPATIAL/GIS
Shiyuan Luo, Runlong Yu, Shengyu Chen, Yingda Fan, Yiqun Xie, Yanhua Li, Xiaowei Jia
2025 J jnl
Geo-Aware Models for Stream Temperature Prediction across Different Spatial Regions and Scales.
CoRR
Shiyuan Luo, Runlong Yu, Shengyu Chen, Yingda Fan, Yiqun Xie, Yanhua Li, Xiaowei Jia
2025 J jnl
GeoBS: Information-Theoretic Quantification of Geographic Bias in AI Models.
CoRR
Zhangyu Wang, Nemin Wu, Qian Cao, Jiangnan Xia, Zeping Liu, Yiqun Xie, Akshay Uttama Nambi, Tanuja Ganu, Ni Lao, Ninghao Liu, Gengchen Mai
2025 — conf
IsoSim: A Long-term Benchmark Dataset for Water Isotope Emulation in Global Climate Models.
SIGSPATIAL/GIS
Zhili Li, Qi Cheng, Ruohan Li, Feng Zhu, Xiaowei Jia, Yiqun Xie
2025 B conf
Knowledge Guided Encoder-Decoder Framework: Integrating Multiple Physical Models for Agricultural Ecosystem Modeling.
IEEE Big Data
Qi Cheng, Licheng Liu, Yao Zhang, Mu Hong, Shiyuan Luo, Zhenong Jin, Yiqun Xie, Xiaowei Jia
2025 J jnl
Knowledge Guided Encoder-Decoder Framework: Integrating Multiple Physical Models for Agricultural Ecosystem Modeling.
CoRR
Qi Cheng, Licheng Liu, Yao Zhang, Mu Hong, Shiyuan Luo, Zhenong Jin, Yiqun Xie, Xiaowei Jia
2025 J jnl
LLM-based Evaluation Policy Extraction for Ecological Modeling.
CoRR
Qi Cheng, Licheng Liu, Qing Zhu, Runlong Yu, Zhenong Jin, Yiqun Xie, Xiaowei Jia
2025 J jnl
Learning from the Storm: A Multivariate Machine Learning Approach to Predicting Hurricane-Induced Economic Losses.
CoRR
Bolin Shen, Eren Erman Ozguven, Yue Zhao, Guang Wang, Yiqun Xie, Yushun Dong
2025 A* conf
Learning to Retrieve for Environmental Knowledge Discovery: An Augmentation-Adaptive Self-Supervised Learning Framework.
ICDM
Shiyuan Luo, Runlong Yu, Chonghao Qiu, Rahul Ghosh, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2025 J jnl
Learning to Retrieve for Environmental Knowledge Discovery: An Augmentation-Adaptive Self-Supervised Learning Framework.
CoRR
Shiyuan Luo, Runlong Yu, Chonghao Qiu, Rahul Ghosh, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2025 J jnl
LocDiffusion: Identifying Locations on Earth by Diffusing in the Hilbert Space.
CoRR
Zhangyu Wang, Jielu Zhang, Zhongliang Zhou, Qian Cao, Nemin Wu, Zeping Liu, Lan Mu, Yang Song, Yiqun Xie, Ni Lao, Gengchen Mai
2025 J jnl
Machine-learning-enabled spatial pattern mining: evaluating the impact of imperfect inputs.
Int. J. Geogr. Inf. Sci.
Zhili Li, Yiqun Xie, Xiaowei Jia, Gengchen Mai, Zhihao Wang, Weiye Chen
2025 A* conf
Multi-Scale Graph Learning for Anti-Sparse Downscaling.
AAAI
Yingda Fan, Runlong Yu, Janet R. Barclay, Alison P. Appling, Yiming Sun, Yiqun Xie, Xiaowei Jia
2025 J jnl
Multi-Scale Graph Learning for Anti-Sparse Downscaling.
CoRR
Yingda Fan, Runlong Yu, Janet R. Barclay, Alison P. Appling, Yiming Sun, Yiqun Xie, Xiaowei Jia
2025 — conf
Multimodal Foundation Models as Router Models for High-Resolution Aerial Image Segmentation.
ICDM (Workshops)
Cooper Li, Zhihao Wang, Yiqun Xie
2025 A* conf
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks.
AAAI
Erhu He, Declan Kutscher, Yiqun Xie, Jacob Zwart, Zhe Jiang, Huaxiu Yao, Xiaowei Jia
2025 A* conf
Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science.
AAAI
Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2025 J jnl
Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science.
CoRR
Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2025 J jnl
RAG for Geoscience: What We Expect, Gaps and Opportunities.
CoRR
Runlong Yu, Shiyuan Luo, Rahul Ghosh, Lingyao Li, Yiqun Xie, Xiaowei Jia
2025 — conf
Scenario-Based Evaluation of Probabilistic Time Series Forecasting for Solar Energy.
SIGSPATIAL/GIS
Ruohan Li, Yiqun Xie, Xiaowei Jia, Gengchen Mai, Sophia Hou, Zhihao Wang, Zhili Li
2025 J jnl
Towards the next generation of Geospatial Artificial Intelligence.
Int. J. Appl. Earth Obs. Geoinformation
Gengchen Mai, Yiqun Xie, Xiaowei Jia, Ni Lao, Jinmeng Rao, Qing Zhu, Zeping Liu, Yao-Yi Chiang, Junfeng Jiao
2025 — conf
TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting.
SIGSPATIAL/GIS
Lincan Li, Eren Erman Ozguven, Yue Zhao, Guang Wang, Yiqun Xie, Yushun Dong
2025 J jnl
TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting.
CoRR
Lincan Li, Eren Erman Ozguven, Yue Zhao, Guang Wang, Yiqun Xie, Yushun Dong
2025 A conf
What We Talk About When We Talk About AI for Science.
SDM
Runlong Yu, Yiqun Xie, Xiaowei Jia
2025 J jnl
X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI.
CoRR
Yiming Sun, Shuo Chen, Shengyu Chen, Chonghao Qiu, Licheng Liu, Youmi Oh, Sparkle L. Malone, Gavin McNicol, Qianlai Zhuang, Chris Smith, Yiqun Xie, Xiaowei Jia
2024 A* conf
Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations.
ICDM
Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Yanhua Li, Xiaowei Jia
2024 J jnl
Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations.
CoRR
Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Yanhua Li, Xiaowei Jia
2024 A* conf
Align Along Time and Space: A Graph Latent Diffusion Model for Traffic Dynamics Prediction.
ICDM
Yuhang Liu, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Sahar Ghanipoor Machiani, Yanhua Li, Jun Luo
2024 — conf
Evolution-Based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes.
PPSN (4)
Runlong Yu, Robert Ladwig, Xiang Xu, Peijun Zhu, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2024 A* conf
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks.
AAAI
Erhu He, Yiqun Xie, Alexander Y. Sun, Jacob Zwart, Jie Yang, Zhenong Jin, Yang Wang, Hassan A. Karimi, Xiaowei Jia
2024 B conf
High-Resolution Poverty Mapping with Foundation Models: A Cost-effective Approach from Street Views to Satellite Images.
IEEE Big Data
William Lu, Zhili Li, Yiqun Xie
2024 A conf
Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features.
SDM
Erhu He, Yiqun Xie, Licheng Liu, Zhenong Jin, Dajun Zhang, Xiaowei Jia
2024 J jnl
Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration.
IEEE Trans. Knowl. Data Eng.
Erhu He, Yiqun Xie, Weiye Chen, Sergii Skakun, Han Bao, Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia
2024 J jnl
Nature-Guided Cognitive Evolution for Predicting Dissolved Oxygen Concentrations in North Temperate Lakes.
CoRR
Runlong Yu, Robert Ladwig, Xiang Xu, Peijun Zhu, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2024 A conf
Only Attending What Matter within Trajectories -
SDM
Mingzhi Hu, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo
2024 J jnl
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks.
CoRR
Erhu He, Declan Kutscher, Yiqun Xie, Jacob Zwart, Zhe Jiang, Huaxiu Yao, Xiaowei Jia
2024 — ed.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications, GeoIndustry 2024, Atlanta, GA, USA, 29 October 2024 - 1 November 2024
GeoIndustry@SIGSPATIAL
Jinmeng Rao, Emre Eftelioglu, Heba Aly, Yiqun Xie, Song Gao
2024 A* conf
Referee-Meta-Learning for Fast Adaptation of Locational Fairness.
AAAI
Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou
2024 J jnl
Referee-Meta-Learning for Fast Adaptation of Locational Fairness.
CoRR
Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou
2024 — conf
SRL: Towards a General-Purpose Framework for Spatial Representation Learning.
SIGSPATIAL/GIS
Gengchen Mai, Xiaobai Angela Yao, Yiqun Xie, Jinmeng Rao, Hao Li, Qing Zhu, Ziyuan Li, Ni Lao
2024 J jnl
Satellite-based soybean yield prediction in Argentina: A comparison between panel regression and deep learning methods.
Comput. Electron. Agric.
Yuhao Wang, Kuishuang Feng, Laixiang Sun, Yiqun Xie, Xiao-Peng Song
2024 A* conf
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models.
AAAI
Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu
2024 J jnl
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models.
CoRR
Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu
2024 A* conf
SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting.
NeurIPS
Ruohan Li, Yiqun Xie, Xiaowei Jia, Dongdong Wang, Yanhua Li, Yingxue Zhang, Zhihao Wang, Zhili Li
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
Spatial-Temporal Augmented Adaptation via Cycle-Consistent Adversarial Network: An Application in Streamflow Prediction.
SDM
Nasrin Kalanat, Yiqun Xie, Yanhua Li, Xiaowei Jia
2024 A* conf
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing.
KDD
Xinbo Zhao, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Yanhua Li, Jun Luo
2024 J jnl
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing.
CoRR
Xinbo Zhao, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Yanhua Li, Jun Luo
2024 J jnl
When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imagery.
CoRR
Yiqun Xie, Zhihao Wang, Weiye Chen, Zhili Li, Xiaowei Jia, Yanhua Li, Ruichen Wang, Kangyang Chai, Ruohan Li, Sergii Skakun
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 A* conf
Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics.
AAAI
Yiqun Xie, Zhili Li, Han Bao, Xiaowei Jia, Dongkuan Xu, Xun Zhou, Sergii Skakun
2023 A* conf
CGS: Coupled Growth and Survival Model with Cohort Fairness.
IJCAI
Erhu He, Yue Wan, Benjamin H. Letcher, Jennifer H. Fair, Yiqun Xie, Xiaowei Jia
2023 A* conf
Confidence-based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery.
IJCAI
Zhili Li, Yiqun Xie, Xiaowei Jia
2023 A conf
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation.
SDM
Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar
2023 J jnl
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation.
CoRR
Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar
2023 J jnl
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems.
CoRR
Shiyuan Luo, Juntong Ni, Shengyu Chen, Runlong Yu, Yiqun Xie, Licheng Liu, Zhenong Jin, Huaxiu Yao, Xiaowei Jia
2023 — conf
Geo-Foundation Models: Reality, Gaps and Opportunities.
SIGSPATIAL/GIS
Yiqun Xie, Zhaonan Wang, Gengchen Mai, Yanhua Li, Xiaowei Jia, Song Gao, Shaowen Wang
2023 J jnl
Harnessing heterogeneity in space with statistically guided meta-learning.
Knowl. Inf. Syst.
Yiqun Xie, Weiye Chen, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
2023 — conf
High-Fidelity Deep Approximation of Ecosystem Simulation over Long-Term at Large Scale.
SIGSPATIAL/GIS
Zhihao Wang, Yiqun Xie, Xiaowei Jia, Lei Ma, George C. Hurtt
2023 A conf
Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction.
CIKM
Shengyu Chen, Nasrin Kalanat, Simon N. Topp, Jeffrey M. Sadler, Yiqun Xie, Zhe Jiang, Xiaowei Jia
2023 A* conf
Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction.
AAAI
Erhu He, Yiqun Xie, Licheng Liu, Weiye Chen, Zhenong Jin, Xiaowei Jia
2023 A conf
Physics-Guided Meta-Learning Method in Baseflow Prediction over Large Regions.
SDM
Shengyu Chen, Yiqun Xie, Xiang Li, Xu Liang, Xiaowei Jia
2023 A conf
Physics-guided Graph Diffusion Network for Combining Heterogeneous Simulated Data: An Application in Predicting Stream Water Temperature.
SDM
Xiaowei Jia, Shengyu Chen, Can Zheng, Yiqun Xie, Zhe Jiang, Nasrin Kalanat
2023 J jnl
Physics-guided machine learning from simulated data with different physical parameters.
Knowl. Inf. Syst.
Shengyu Chen, Nasrin Kalanat, Yiqun Xie, Sheng Li, Jacob A. Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha K. Oliver, Jordan S. Read, Xiaowei Jia
2023 A* conf
Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery.
AAAI
Zhili Li, Yiqun Xie, Xiaowei Jia, Kara Stuart, Caroline Delaire, Sergii Skakun
2023 — ed.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications, GeoIndustry 2023, Hamburg, Germany, 13 November 2023
GeoIndustry@SIGSPATIAL
Jinmeng Rao, Song Gao, Heba Aly, Emre Eftelioglu, Yan Li, Yiqun Xie
2023 A* conf
Rethinking Data Distillation: Do Not Overlook Calibration.
ICCV
Dongyao Zhu, Yanbo Fang, Bowen Lei, Yiqun Xie, Dongkuan Xu, Jie Zhang, Ruqi Zhang
2023 J jnl
Rethinking Data Distillation: Do Not Overlook Calibration.
CoRR
Dongyao Zhu, Bowen Lei, Jie Zhang, Yanbo Fang, Ruqi Zhang, Yiqun Xie, Dongkuan Xu
2023 J jnl
STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19.
Knowl. Inf. Syst.
Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia
2023 J jnl
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19.
CoRR
Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia
2023 A* conf
Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations.
ICDM
Mingzhi Hu, Zhuoyun Zhong, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo
2023 J jnl
Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey.
ACM Comput. Surv.
Yiqun Xie, Shashi Shekhar, Yan Li
2023 A* conf
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability.
AAAI
Zhexiong Liu, Licheng Liu, Yiqun Xie, Zhenong Jin, Xiaowei Jia
2023 — conf
Towards Inherently Interpretable Deep Learning for Accelerating Scientific Discoveries in Climate Science.
SIGSPATIAL/GIS
Anh N. Nhu, Yiqun Xie
2022 J jnl
COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features.
ACM Trans. Intell. Syst. Technol.
Han Bao, Xun Zhou, Yiqun Xie, Yingxue Zhang, Yanhua Li
2022 — conf
CSCD: towards spatially resolving the heterogeneous landscape of MxIF oncology data.
BigSpatial@SIGSPATIAL
Yan Li, Majid Farhadloo, Santhoshi Krishnan, Yiqun Xie, Timothy L. Frankel, Shashi Shekhar, Arvind Rao
2022 — conf
Deep semantic segmentation for building detection using knowledge-informed features from LiDAR point clouds.
SIGSPATIAL/GIS
Weiye Chen, Zhihao Wang, Zhili Li, Yiqun Xie, Xiaowei Jia, Anlin Li
2022 A* conf
Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework.
AAAI
Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
2022 A conf
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature.
SDM
Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang
2022 J jnl
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature.
CoRR
Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang
2022 — ed.
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications, GeoIndustry 2022, Seattle, Washington, 1 November 2022
GeoIndustry@SIGSPATIAL
Yiqun Xie, Jia Yu, Emre Eftelioglu, Heba Aly
2022 — ed.
Proceedings of the 4th ACM SIGSPATIAL International Workshop on APIs and Libraries for Geospatial Data Science, SpatialAPI 2022, Seattle, Washington, 1 November 2022
SpatialAPI@SIGSPATIAL
Yiqun Xie, Jia Yu
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 A* conf
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19.
ICDM
Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia
2022 — conf
Sailing in the location-based fairness-bias sphere.
SIGSPATIAL/GIS
Erhu He, Weiye Chen, Yiqun Xie, Han Bao, Xun Zhou, Xiaowei Jia, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
2022 A* conf
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract).
IJCAI
Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
2022 J jnl
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability.
CoRR
Zhexiong Liu, Licheng Liu, Yiqun Xie, Zhenong Jin, Xiaowei Jia
2022 B conf
VIMTS: Variational-based Imputation for Multi-modal Time Series.
IEEE Big Data
Xiaohu Zhao, Kebin Jia, Benjamin H. Letcher, Jennifer H. Fair, Yiqun Xie, Xiaowei Jia
2021 A* conf
A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity.
ICDM
Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
2021 J jnl
Discovering regions of anomalous spatial co-locations.
Int. J. Geogr. Inf. Sci.
Jiannan Cai, Min Deng, Yiwen Guo, Yiqun Xie, Shashi Shekhar
2021 J jnl
Large-Scale River Mapping Using Contrastive Learning and Multi-Source Satellite Imagery.
Remote. Sens.
Zhihao Wei, Kebin Jia, Pengyu Liu, Xiaowei Jia, Yiqun Xie, Zhe Jiang
2021 A* conf
Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems.
ICDM
Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read
2021 J jnl
Significant DBSCAN+: Statistically Robust Density-based Clustering.
ACM Trans. Intell. Syst. Technol.
Yiqun Xie, Xiaowei Jia, Shashi Shekhar, Han Bao, Xun Zhou
2021 J jnl
Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach.
ACM Trans. Intell. Syst. Technol.
Jayant Gupta, Carl Molnar, Yiqun Xie, Joe Knight, Shashi Shekhar
2021 — conf
Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets.
SIGSPATIAL/GIS
Yiqun Xie, Xiaowei Jia, Han Bao, Xun Zhou, Jia Yu, Rahul Ghosh, Praveen Ravirathinam
2021 — ed.
SpatialAPI@SIGSPATIAL 2021: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on APIs and Libraries for Geospatial Data Science, Beijing, China, 2 November 2021.
SpatialAPI@SIGSPATIAL
Yiqun Xie, Jia Yu
2021 J jnl
Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey.
CoRR
Yiqun Xie, Shashi Shekhar, Yan Li
2020 J jnl
A Unified Framework for Robust and Efficient Hotspot Detection in Smart Cities.
Trans. Data Sci.
Yiqun Xie, Shashi Shekhar
2020 J jnl
A locally-constrained YOLO framework for detecting small and densely-distributed building footprints.
Int. J. Geogr. Inf. Sci.
Yiqun Xie, Jiannan Cai, Rahul Bhojwani, Shashi Shekhar, Joseph F. Knight
2020 — conf
COVID-GAN: Estimating Human Mobility Responses to COVID-19 Pandemic through Spatio-Temporal Conditional Generative Adversarial Networks.
SIGSPATIAL/GIS
Han Bao, Xun Zhou, Yingxue Zhang, Yanhua Li, Yiqun Xie
2020 J jnl
Discovering Interesting Subpaths with Statistical Significance from Spatiotemporal Datasets.
ACM Trans. Intell. Syst. Technol.
Yiqun Xie, Xun Zhou, Shashi Shekhar
2020 — conf
Discovering Spatial Mixture Patterns of Interest.
SIGSPATIAL/GIS
Yiqun Xie, Han Bao, Yan Li, Shashi Shekhar
2020 J jnl
Physics-guided Energy-efficient Path Selection Using On-board Diagnostics Data.
Trans. Data Sci.
Yan Li, Pratik Kotwal, Pengyue Wang, Yiqun Xie, Shashi Shekhar, William F. Northrop
2020 — conf
Significant lagrangian linear hotspot discovery.
IWCTS@SIGSPATIAL
Yan Li, Yiqun Xie, Pengyue Wang, Shashi Shekhar, William F. Northrop
2020 J jnl
Significant spatial co-distribution pattern discovery.
Comput. Environ. Urban Syst.
Jiannan Cai, Yiqun Xie, Min Deng, Xun Tang, Yan Li, Shashi Shekhar
2020 J jnl
Towards Spatial Variability Aware Deep Neural Networks (SVANN): A Summary of Results.
CoRR
Jayant Gupta, Yiqun Xie, Shashi Shekhar
2019 A conf
A Nondeterministic Normalization based Scan Statistic (NN-scan) towards Robust Hotspot Detection: A Summary of Results.
SDM
Yiqun Xie, Shashi Shekhar
2019 — conf
Analyzing Domain Knowledge for Big Data Analysis: A Case Study with Urban Tree Type Classification.
BDA
Samantha Detor, Abigail Roh, Yiqun Xie, Shashi Shekhar
2019 C conf
NDVI Versus CNN Features in Deep Learning for Land Cover Clasification of Aerial Images.
IGARSS
Anushree Ramanath, Saipreethi Muthusrinivasan, Yiqun Xie, Shashi Shekhar, Bharathkumar Ramachandra
2019 — conf
Revolutionizing Tree Management via Intelligent Spatial Techniques.
SIGSPATIAL/GIS
Yiqun Xie, Shashi Shekhar, Richard Feiock, Joseph F. Knight
2019 B conf
Significant DBSCAN towards Statistically Robust Clustering.
SSTD
Yiqun Xie, Shashi Shekhar
2018 A* conf
A TIMBER Framework for Mining Urban Tree Inventories Using Remote Sensing Datasets.
ICDM
Yiqun Xie, Han Bao, Shashi Shekhar, Joseph F. Knight
2018 — conf
An unsupervised augmentation framework for deep learning based geospatial object detection: a summary of results.
SIGSPATIAL/GIS
Yiqun Xie, Rahul Bhojwani, Shashi Shekhar, Joseph F. Knight
2018 — conf
Transforming Smart Cities with Spatial Computing.
ISC2
Yiqun Xie, Jayant Gupta, Yan Li, Shashi Shekhar
2017 J jnl
Collaborative Geodesign and Spatial Optimization for Fragmentation-Free Land Allocation.
ISPRS Int. J. Geo Inf.
Yiqun Xie, Bryan C. Runck, Shashi Shekhar, Len Kne, David J. Mulla, Nicolas Jordan, Peter Wiringa
2017 B conf
FF-SA: Fragmentation-Free Spatial Allocation.
SSTD
Yiqun Xie, Shashi Shekhar
2017 — conf
Spatially Constrained Geodesign Optimization (GOP) for Improving Agricultural Watershed Sustainability.
AAAI Workshops
Yiqun Xie, KwangSoo Yang, Shashi Shekhar, Brent Dalzell, David J. Mulla
2017 J jnl
Transdisciplinary Foundations of Geospatial Data Science.
ISPRS Int. J. Geo Inf.
Yiqun Xie, Emre Eftelioglu, Reem Y. Ali, Xun Tang, Yan Li, Ruhi Doshi, Shashi Shekhar
2016 J jnl
Data Science for Food, Energy and Water: A Workshop Report.
SIGKDD Explor.
Naoki Abe, Yiqun Xie, Shashi Shekhar, Chid Apté, Vipin Kumar, Mitch Tuinstra, Ranga Raju Vatsavai
2014 J jnl
Melting of icosahedral nickel clusters under hydrostatic pressure.
J. Comput. Chem.
Bing Fu, Li Chen, Feifei Wang, Yiqun Xie, Xiang Ye
2014 A* conf
Ring-Shaped Hotspot Detection: A Summary of Results.
ICDM
Emre Eftelioglu, Shashi Shekhar, Dev Oliver, Xun Zhou, Michael R. Evans, Yiqun Xie, James M. Kang, Renee Laubscher, Christopher Farah
2013 J jnl
Crater Detection Using the Morphological Characteristics of Chang'E-1 Digital Elevation Models.
IEEE Geosci. Remote. Sens. Lett.
Yiqun Xie, Guoan Tang, Shijiang Yan, Hui Lin
2006 — conf
A 6.25GHz 1V LC-PLL in 0.13µm CMOS.
ISSCC
Richard Gu, Ah-Lyan Yee, Yiqun Xie, Wai Lee
2005 J jnl
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
Robert Payne, Paul E. Landman, Bhavesh Bhakta, Sridhar Ramaswamy, Song Wu, John D. Powers, M. Ulvi Erdogan, Ah-Lyan Yee, Richard Gu, Lin Wu, Yiqun Xie, Bharadwaj Parthasarathy, Keith C. Brouse, Wahed Mohammed, Keerthi Heragu, Vikas Gupta, Lisa Dyson, Wai Lee