Xiaowei Jia

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 140

Top Venues

Publications

Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models. AAAI (2024)
Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models. CoRR (2024)
Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. SDM (2024)
Erhu He, Yiqun Xie, Weiye Chen, Sergii Skakun, Han Bao, Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia
Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou
Referee-Meta-Learning for Fast Adaptation of Locational Fairness. CoRR (2024)
Nasrin Kalanat, Yiqun Xie, Yanhua Li, Xiaowei Jia
Spatial-Temporal Augmented Adaptation via Cycle-Consistent Adversarial Network: An Application in Streamflow Prediction. SDM (2024)
Haoran Li, Junqi Liu, Zexian Wang, Shiyuan Luo, Xiaowei Jia, Huaxiu Yao
LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models. CoRR (2024)
Mehdi Ramezanpour, Anne M. Robertson, Yasutaka Tobe, Xiaowei Jia, Juan R. Cebral
Phenotyping calcification in vascular tissues using artificial intelligence. CoRR (2024)
Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. CoRR (2024)
Shengyu Chen, Tianshu Bao, Peyman Givi, Can Zheng, Xiaowei Jia
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics. ACM Trans. Intell. Syst. Technol. 15 (1) (2024)
Yiqun Xie, Zhihao Wang, Weiye Chen, Zhili Li, Xiaowei Jia, Yanhua Li, Ruichen Wang, Kangyang Chai, Ruohan Li, Sergii Skakun
When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imagery. CoRR (2024)
Shihong Ling, Yue Wan, Xiaowei Jia, Na Du
Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles. CoRR (2024)
Runlong Yu, Robert Ladwig, Xiang Xu, Peijun Zhu, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
Nature-Guided Cognitive Evolution for Predicting Dissolved Oxygen Concentrations in North Temperate Lakes. CoRR (2024)
Shihong Ling, Yue Wan, Xiaowei Jia, Na Du
Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles. HRI (2024)
Shengyu Chen, Peyman Givi, Can Zheng, Xiaowei Jia
Physics-enhanced Neural Operator for Simulating Turbulent Transport. CoRR (2024)
Anuj Karpatne, Xiaowei Jia, Vipin Kumar
Knowledge-guided Machine Learning: Current Trends and Future Prospects. CoRR (2024)
Daiqing Qi, Handong Zhao, Xiaowei Jia, Sheng Li
Revealing an Overlooked Challenge in Class-Incremental Graph Learning. Trans. Mach. Learn. Res. 2024 (2024)
Mingzhi Hu, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo
. SDM (2024)
Xiaohu Zhao, Kebin Jia, Benjamin H. Letcher, Jennifer H. Fair, Xiaowei Jia
Bringing vision to climate: A hierarchical model for water depth monitoring in headwater streams. Inf. Fusion 110 (2024)
Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou
Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery. AAAI (2024)
Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou
Referee-Meta-Learning for Fast Adaptation of Locational Fairness. AAAI (2024)
Erhu He, Yiqun Xie, Licheng Liu, Zhenong Jin, Dajun Zhang, Xiaowei Jia
Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features. SDM (2024)
Erhu He, Yiqun Xie, Alexander Sun, Jacob Zwart, Jie Yang, Zhenong Jin, Yang Wang, Hassan A. Karimi, Xiaowei Jia
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks. AAAI (2024)
Zhihao Wang, Yiqun Xie, Xiaowei Jia, Lei Ma, George Hurtt
High-Fidelity Deep Approximation of Ecosystem Simulation over Long-Term at Large Scale. SIGSPATIAL/GIS (2023)
Zhe Jiang, Yupu Zhang, Saugat Adhikari, Da Yan, Arpan Man Sainju, Xiaowei Jia, Yiqun Xie
A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth Imagery. SDM (2023)
Yiqun Xie, Zhili Li, Han Bao, Xiaowei Jia, Dongkuan Xu, Xun Zhou, Sergii Skakun
Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics. AAAI (2023)
Jared D. Willard, Charuleka Varadharajan, Xiaowei Jia, Vipin Kumar
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources. CoRR (2023)
Yiqun Xie, Zhaonan Wang, Gengchen Mai, Yanhua Li, Xiaowei Jia, Song Gao, Shaowen Wang
Geo-Foundation Models: Reality, Gaps and Opportunities. SIGSPATIAL/GIS (2023)
Zhexiong Liu, Licheng Liu, Yiqun Xie, Zhenong Jin, Xiaowei Jia
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability. AAAI (2023)
Shengyu Chen, Yiqun Xie, Xiang Li, Xu Liang, Xiaowei Jia
Physics-Guided Meta-Learning Method in Baseflow Prediction over Large Regions. SDM (2023)
Shiyuan Luo, Juntong Ni, Shengyu Chen, Runlong Yu, Yiqun Xie, Licheng Liu, Zhenong Jin, Huaxiu Yao, Xiaowei Jia
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems. CoRR (2023)
Shengyu Chen, Shihang Feng, Yao Huang, Zhou Lei, Xiaowei Jia, Youzuo Lin, Estaben Rougier
HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation. CoRR (2023)
Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. CoRR (2023)
Erhu He, Yue Wan, Benjamin H. Letcher, Jennifer H. Fair, Yiqun Xie, Xiaowei Jia
CGS: Coupled Growth and Survival Model with Cohort Fairness. IJCAI (2023)
Shengyu Chen, Tianshu Bao, Peyman Givi, Can Zheng, Xiaowei Jia
Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement. CoRR (2023)
Rahul Ghosh, Haoyu Yang, Ankush Khandelwal, Erhu He, Arvind Renganathan, Somya Sharma, Xiaowei Jia, Vipin Kumar
Entity Aware Modelling: A Survey. CoRR (2023)
Yue Wan, Jialu Wu, Tingjun Hou, Chang-Yu Hsieh, Xiaowei Jia
From molecules to scaffolds to functional groups: building context-dependent molecular representation via multi-channel learning. CoRR (2023)
Zhili Li, Yiqun Xie, Xiaowei Jia, Kara Stuart, Caroline Delaire, Sergii Skakun
Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery. AAAI (2023)
Tianyu Liu, Pengyu Liu, Xiaowei Jia, Shanji Chen, Ying Ma, Qian Gao
Sea-Land Segmentation of Remote Sensing Images Based on SDW-UNet. Comput. Syst. Sci. Eng. 45 (2) (2023)
Yiqun Xie, Weiye Chen, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
Harnessing heterogeneity in space with statistically guided meta-learning. Knowl. Inf. Syst. 65 (6) (2023)
Xiaowei Jia, Shengyu Chen, Can Zheng, Yiqun Xie, Zhe Jiang, Nasrin Kalanat
Physics-guided Graph Diffusion Network for Combining Heterogeneous Simulated Data: An Application in Predicting Stream Water Temperature. SDM (2023)
Zhili Li, Yiqun Xie, Xiaowei Jia
Confidence-based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery. IJCAI (2023)
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
Physics-guided machine learning from simulated data with different physical parameters. Knowl. Inf. Syst. 65 (8) (2023)
Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. ICDM (2023)
Mingzhi Hu, Zhuoyun Zhong, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo
Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations. ICDM (2023)
Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia
STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19. Knowl. Inf. Syst. 65 (11) (2023)
Shengyu Chen, Nasrin Kalanat, Simon Topp, Jeffrey M. Sadler, Yiqun Xie, Zhe Jiang, Xiaowei Jia
Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction. CIKM (2023)
Yang Wang, Hassan A. Karimi, Xiaowei Jia
Reconstruction of Continuous High-Resolution Sea Surface Temperature Data Using Time-Aware Implicit Neural Representation. Remote. Sens. 15 (24) (2023)
Xiaowei Jia, Hengbin An, Yi Hu, Zeyao Mo
A physics-based strategy for choosing initial iterate for solving drift-diffusion equations. Comput. Math. Appl. 131 (2023)
Erhu He, Yiqun Xie, Licheng Liu, Weiye Chen, Zhenong Jin, Xiaowei Jia
Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction. AAAI (2023)
Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems. ACM Comput. Surv. 55 (4) (2023)
Leikun Yin, Rahul Ghosh, Chenxi Lin, David Hale, Christoph Weigl, James Obarowski, Junxiong Zhou, Jessica Till, Xiaowei Jia, Troy Mao, Vipin Kumar, Zhenong Jin
Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin. CoRR (2023)
Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. CoRR (2023)
Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. SDM (2023)
Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Christopher J. Duffy, John Nieber, Vipin Kumar
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology. KDD (2022)
Jia Li, Xiang Li, Xiaowei Jia, Michael S. Steinbach, Vipin Kumar
Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space. CoRR (2022)
Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework. AAAI (2022)
Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract). IJCAI (2022)
Erhu He, Weiye Chen, Yiqun Xie, Han Bao, Xun Zhou, Xiaowei Jia, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
Sailing in the location-based fairness-bias sphere. SIGSPATIAL/GIS (2022)
Wenchong He, Zhe Jiang, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou
Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. KDD (2022)
Can Zheng, Yanshan Wang, Xiaowei Jia
Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes. ICHI (2022)
Zhihao Wei, Kebin Jia, Xiaowei Jia, Pengyu Liu, Ying Ma, Ting Chen, Guilian Feng
Mapping Large-Scale Plateau Forest in Sanjiangyuan Using High-Resolution Satellite Imagery and Few-Shot Learning. Remote. Sens. 14 (2) (2022)
Xiaohu Zhao, Kebin Jia, Benjamin Letcher, Jennifer Fair, Yiqun Xie, Xiaowei Jia
VIMTS: Variational-based Imputation for Multi-modal Time Series. Big Data (2022)
Kshitij Tayal, Xiaowei Jia, Rahul Ghosh, Jared Willard, Jordan S. Read, Vipin Kumar
Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling. SDM (2022)
Rahul Ghosh, Xiaowei Jia, Leikun Yin, Chenxi Lin, Zhenong Jin, Vipin Kumar
Clustering augmented self-supervised learning: an application to land cover mapping. SIGSPATIAL/GIS (2022)
Can Zheng, Yanshan Wang, Xiaowei Jia
Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes. CoRR (2022)
Weiye Chen, Zhihao Wang, Zhili Li, Yiqun Xie, Xiaowei Jia, Anlin Li
Deep semantic segmentation for building detection using knowledge-informed features from LiDAR point clouds. SIGSPATIAL/GIS (2022)
Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. ICDM (2022)
Tianshu Bao, Shengyu Chen, Taylor T. Johnson, Peyman Givi, Shervin Sammak, Xiaowei Jia
Physics guided neural networks for spatio-temporal super-resolution of turbulent flows. UAI (2022)
Zhexiong Liu, Licheng Liu, Yiqun Xie, Zhenong Jin, Xiaowei Jia
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability. CoRR (2022)
Rahul Ghosh, Bangyan Li, Kshitij Tayal, Vipin Kumar, Xiaowei Jia
Meta-Transfer Learning: An application to Streamflow modeling in River-streams. ICDM (2022)
Shengyu Chen, Jacob A. Zwart, Xiaowei Jia
Physics-Guided Graph Meta Learning for Predicting Water Temperature and Streamflow in Stream Networks. KDD (2022)
Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. CoRR (2022)
Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. SDM (2022)
Tao Wang, Pengyu Liu, Wenjing Zhang, Xiaowei Jia, Yanming Wang, Jiachun Yang
Calibration of Multi-dimensional Air Pressure Sensor Based on LSTM. ICAIS (3) (2022)
Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. CoRR (2022)
Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read
Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems. ICDM (2021)
Zhihao Wei, Kebin Jia, Pengyu Liu, Xiaowei Jia, Yiqun Xie, Zhe Jiang
Large-Scale River Mapping Using Contrastive Learning and Multi-Source Satellite Imagery. Remote. Sens. 13 (15) (2021)
Shengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey Sadler, Jacob Zwart, Xiaowei Jia
Heterogeneous Stream-reservoir Graph Networks with Data Assimilation. ICDM (2021)
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. IEEE BigData (2021)
Shengyu Chen, Shervin Sammak, Peyman Givi, Joseph P. Yurko, Xiaowei Jia
Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks. CoRR (2021)
Rahul Ghosh, Arvind Renganathan, Ankush Khandelwal, Xiaowei Jia, Xiang Li, John Neiber, Chris Duffy, Vipin Kumar
Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics. CoRR (2021)
Xiaowei Jia, Jacob Zwart, Jeffrey Sadler, Alison P. Appling, Samantha Oliver, Steven Markstrom, Jared Willard, Shaoming Xu, Michael S. Steinbach, Jordan S. Read, Vipin Kumar
Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks. SDM (2021)
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. IEEE BigData (2021)
Rahul Ghosh, Xiaowei Jia, Vipin Kumar
Land Cover Mapping in Limited Labels Scenario: A Survey. CoRR (2021)
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. CoRR (2021)
Xiaowei Jia, Xiaoyi Li, Nan Du, Yuan Zhang, Vishrawas Gopalakrishnan, Guangxu Xun, Aidong Zhang
Tracking Community Consistency in Dynamic Networks: An Influence-Based Approach. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. CoRR (2021)
Shengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey Sadler, Jacob Zwart, Xiaowei Jia
Heterogeneous Stream-reservoir Graph Networks with Data Assimilation. CoRR (2021)
Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
Weakly Supervised Classification Using Group-Level Labels. CoRR (2021)
Shengyu Chen, Shervin Sammak, Peyman Givi, Joseph P. Yurko, Xiaowei Jia
Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks. IEEE BigData (2021)
Xuan Sun, Pengyu Liu, Xiaowei Jia, Kebin Jia, Shanji Chen, Yueying Wu
An Effective CU Depth Decision Method for HEVC Using Machine Learning. Comput. Syst. Sci. Eng. 39 (2) (2021)
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. Trans. Data Sci. 2 (3) (2021)
Weida Zhong, Qiuling Suo, Abhishek Gupta, Xiaowei Jia, Chunming Qiao, Lu Su
MetaTP: Traffic Prediction with Unevenly-Distributed Road Sensing Data via Fast Adaptation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5 (3) (2021)
Yiqun Xie, Xiaowei Jia, Han Bao, Xun Zhou, Jia Yu, Rahul Ghosh, Praveen Ravirathinam
Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets. SIGSPATIAL/GIS (2021)
Xiaowei Jia, Beiyu Lin, Jacob Zwart, Jeffrey Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read
Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks. SDM (2021)
Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. ICDM (2021)
Yiqun Xie, Xiaowei Jia, Shashi Shekhar, Han Bao, Xun Zhou
Significant DBSCAN+: Statistically Robust Density-based Clustering. ACM Trans. Intell. Syst. Technol. 12 (5) (2021)
Tianshu Bao, Xiaowei Jia, Jacob Zwart, Jeffrey Sadler, Alison P. Appling, Samantha Oliver, Taylor T. Johnson
Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature. ICDM (2021)
Weida Zhong, Qiuling Suo, Xiaowei Jia, Aidong Zhang, Lu Su
Heterogeneous Spatio-Temporal Graph Convolution Network for Traffic Forecasting with Missing Values. ICDCS (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xiaowei Jia