Xun Zhou
Orcid: 0000-0003-4930-6572
According to our database1,
Xun Zhou
authored at least 141 papers
between 2003 and 2024.
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Bibliography
2024
IEEE Trans. Medical Imaging, April, 2024
ASPP+-LANet: A Multi-Scale Context Extraction Network for Semantic Segmentation of High-Resolution Remote Sensing Images.
Remote. Sens., March, 2024
Balancing Enhancement, Harmlessness, and General Capabilities: Enhancing Conversational LLMs with Direct RLHF.
CoRR, 2024
ICE-GRT: Instruction Context Enhancement by Generative Reinforcement based Transformers.
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
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
Generalized quantile and expectile properties for shape constrained nonparametric estimation.
Eur. J. Oper. Res., October, 2023
Effects of prefilmer edge configuration on primary liquid film breakup: A lattice Boltzmann study.
Comput. Math. Appl., September, 2023
Knowl. Inf. Syst., June, 2023
Performance Comparison of Computational Methods for the Prediction of the Function and Pathogenicity of Non-coding Variants.
Genom. Proteom. Bioinform., June, 2023
A Lightweight Object Detector Based on Spatial-Coordinate Self-Attention for UAV Aerial Images.
Remote. Sens., January, 2023
Unmasking the bright-dark duality of social media use on psychological well-being: a large-scale longitudinal study.
Internet Res., 2023
Detecting spatiotemporal propagation patterns of traffic congestion from fine-grained vehicle trajectory data.
Int. J. Geogr. Inf. Sci., 2023
Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy.
CoRR, 2023
GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond.
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
PUW-Feat: A Progressive and Unified Method for Weakly Supervised Local Feature Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 15th International Conference on Machine Learning and Computing, 2023
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations.
Proceedings of the IEEE International Conference on Data Mining, 2023
CAC: Enabling Customer-Centered Passenger-Seeking for Self-Driving Ride Service with Conservative Actor-Critic.
Proceedings of the IEEE International Conference on Data Mining, 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
2022
Urban Traffic Dynamics Prediction - A Continuous Spatial-temporal Meta-learning Approach.
ACM Trans. Intell. Syst. Technol., 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
cGAIL: Conditional Generative Adversarial Imitation Learning - An Application in Taxi Drivers' Strategy Learning.
IEEE Trans. Big Data, 2022
Off-Deployment Traffic Estimation - A Traffic Generative Adversarial Networks Approach.
IEEE Trans. Big Data, 2022
Int. J. Comput. Intell. Syst., 2022
Lattice Boltzmann modeling of primary liquid film breakup at the prefilmer edge: Effects of surface wettability.
Comput. Math. Appl., 2022
ToxMVA: An end-to-end multi-view deep autoencoder method for protein toxicity prediction.
Comput. Biol. Medicine, 2022
HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
FCH-TTS: Fast, Controllable and High-quality Non-Autoregressive Text-to-Speech Synthesis.
Proceedings of the International Joint Conference on Neural Networks, 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
STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation.
Proceedings of the IEEE International Conference on Data Mining, 2022
Mest-GAN: Cross-City Urban Traffic Estimation with Me ta S patial-T emporal G enerative A dversarial N etworks.
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
EgoSpeed-net: forecasting speed-control in driver behavior from egocentric video data.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Forecasting Gathering Events through Trajectory Destination Prediction: A Dynamic Hybrid Model.
IEEE Trans. Knowl. Data Eng., 2021
Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data.
IEEE Trans. Knowl. Data Eng., 2021
ACM Trans. Intell. Syst. Technol., 2021
DILSA+: Predicting Urban Dispersal Events through Deep Survival Analysis with Enhanced Urban Features.
ACM Trans. Intell. Syst. Technol., 2021
IEEE Trans. Evol. Comput., 2021
Eur. J. Oper. Res., 2021
Simulation of binary droplet collision with different angles based on a pseudopotential multiple-relaxation-time lattice Boltzmann model.
Comput. Math. Appl., 2021
DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System.
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
C<sup>3</sup>-GAN: Complex-Condition-Controlled Urban Traffic Estimation through Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Data Mining, 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
Proceedings of the IEEE International Conference on Data Mining, 2021
How Do Customers Respond to Robotic Service? A Scenario-Based Study from the Perspective of Uncertainty Reduction Theory.
Proceedings of the 54th Hawaii International Conference on System Sciences, 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
Learning Decision Making Strategies of Non-experts: A NEXT-GAIL Model for Taxi Drivers.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021
A Research on the Application of Adaptive Rotation Deep Forest on Low Dimensional Datasets.
Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 2021
Application of Distributed Seagull Optimization Improved Algorithm in Sentiment Tendency Prediction.
Proceedings of the Complex, Intelligent and Software Intensive Systems, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Optimizing Photoacoustic Tomography: Lymphatic Drainage from the Brain in Pigmented Mice.
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021
2020
ACM Trans. Manag. Inf. Syst., 2020
Discovering Interesting Subpaths with Statistical Significance from Spatiotemporal Datasets.
ACM Trans. Intell. Syst. Technol., 2020
DHPA: Dynamic Human Preference Analytics Framework: A Case Study on Taxi Drivers' Learning Curve Analysis.
ACM Trans. Intell. Syst. Technol., 2020
Supervised High-Level Feature Learning With Label Consistencies for Object Recognition.
IEEE Trans. Geosci. Remote. Sens., 2020
Optimizing Taxi Driver Profit Efficiency: A Spatial Network-Based Markov Decision Process Approach.
IEEE Trans. Big Data, 2020
GeoInformatica, 2020
Complex., 2020
Inferring Passengers' Interactive Choices on Public Transits via MA-AL: Multi-Agent Apprenticeship Learning.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Is Reinforcement Learning the Choice of Human Learners?: A Case Study of Taxi Drivers.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020
Cycling-Net: A Deep Learning Approach to Predicting Cyclist Behaviors from Geo-Referenced Egocentric Video Data.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 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
IEEE Trans. Big Data, 2019
GeoAI 2019 workshop report: The 3nd ACM SIGSPATIAL International Workshop on GeoAI: AI for Geographic Knowledge Discovery: Seattle, WA, USA - November 5, 2019.
ACM SIGSPATIAL Special, 2019
IEEE Internet Things J., 2019
When Road Information Meets Data Mining: Precision Detection for Heading and Width of Roads.
IEEE Access, 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Unveiling Taxi Drivers' Strategies via cGAIL: Conditional Generative Adversarial Imitation Learning.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
2nd ACM SIGSPATIAL workshop on analytics for local events and news (LENS 2018) seattle, washington, USA - November 6, 2018.
ACM SIGSPATIAL Special, 2018
Deriving enhanced geographical representations via similarity-based spectral analysis: predicting colorectal cancer survival curves in Iowa.
Int. J. Data Min. Bioinform., 2018
A Machine Learning Approach for Air Quality Prediction: Model Regularization and Optimization.
Big Data Cogn. Comput., 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Real-Time Traffic Prediction: A Novel Imputation Optimization Algorithm with Missing Data.
Proceedings of the IEEE Global Communications Conference, 2018
Proceedings of the 11th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2018
2017
Proceedings of the Encyclopedia of GIS., 2017
A Traffic Flow Approach to Early Detection of Gathering Events: Comprehensive Results.
ACM Trans. Intell. Syst. Technol., 2017
1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News (LENS 2017): Redondo Beach, California, USA - November 7, 2017.
ACM SIGSPATIAL Special, 2017
Proceedings of the International Conference on Networking and Network Applications, 2017
Proceedings of the IEEE International Conference on Communications, 2017
Forecasting Gathering Events through Continuous Destination Prediction on Big Trajectory Data.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017
Learning rich geographical representations: Predicting colorectal cancer survival in the state of Iowa.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
Wireless Power Meets Energy Harvesting: A Joint Energy Allocation Approach in OFDM-Based System.
IEEE Trans. Wirel. Commun., 2016
Rational and self-adaptive evolutionary extreme learning machine for electricity price forecast.
Memetic Comput., 2016
Proceedings of the IEEE 84th Vehicular Technology Conference, 2016
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016
The Rich and the Poor: A Markov Decision Process Approach to Optimizing Taxi Driver Revenue Efficiency.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
J. Comput. Syst. Sci., 2015
ISPRS Int. J. Geo Inf., 2015
2014
WIREs Data Mining Knowl. Discov., 2014
Web Intell. Agent Syst., 2014
IEEE Trans. Wirel. Commun., 2014
ACM SIGSPATIAL Special, 2014
Summary-Vector-Based Effective and Fast Immunization for Epidemic-Based Routing in Opportunistic Networks.
IEEE Commun. Lett., 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
Proceedings of the Geographic Information Science - 8th International Conference, 2014
Constrained multi-objective evolutionary algorithm based on decomposition for environmental/economic dispatch.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Control and Automation, 2014
2013
Wireless Information and Power Transfer: Architecture Design and Rate-Energy Tradeoff.
IEEE Trans. Commun., 2013
GeoInformatica, 2013
Proceedings of the International Conference on Information and Communication Technology Convergence, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Discovering persistent change windows in spatiotemporal datasets: a summary of results.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2013
GPGPU-accelerated interesting interval discovery and other computations on GeoSpatial datasets: a summary of results.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2013
2012
Int. J. Geogr. Inf. Sci., 2012
A Personalized Recommendation Algorithm Based on Approximating the Singular Value Decomposition (ApproSVD).
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2012
Quantifying Resolution Sensitivity of Spatial Autocorrelation: A Resolution Correlogram Approach.
Proceedings of the Geographic Information Science - 7th International Conference, 2012
2011
A kind of multiquadric quasi-interpolation operator satisfying any degree polynomial reproduction property to scattered data.
J. Comput. Appl. Math., 2011
Proceedings of the Advances in Spatial and Temporal Databases, 2011
An Efficient Power Allocation Algorithm for OFDM Based Underlay Cognitive Radio Networks.
Proceedings of the Global Communications Conference, 2011
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011
2010
2007
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007
2005
Research for Source Routing Based Multipath Routing Protocol.
Proceedings of the 2005 International Conference on Communications in Computing, 2005
2003
Proceedings of the Eighth ACM Symposium on Solid Modeling and Applications 2003, 2003