Xun Zhou

Orcid: 0000-0002-6539-4130

According to our database1, Xun Zhou authored at least 156 papers between 2003 and 2024.

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Bibliography

2024
NDNet: Spacewise Multiscale Representation Learning via Neighbor Decoupling for Real-Time Driving Scene Parsing.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Toward Evolutionary Multitask Convolutional Neural Architecture Search.
IEEE Trans. Evol. Comput., June, 2024

MT4MTL-KD: A Multi-Teacher Knowledge Distillation Framework for Triplet Recognition.
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

Decoupling semantic and localization for semantic segmentation via magnitude-aware and phase-sensitive learning.
Inf. Fusion, 2024

Application research of credit fraud detection based on distributed rotation deep forest.
Intell. Data Anal., 2024

World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering.
CoRR, 2024

Hyper-Connections.
CoRR, 2024

Design Principle Transfer in Neural Architecture Search via Large Language Models.
CoRR, 2024

PrevPredMap: Exploring Temporal Modeling with Previous Predictions for Online Vectorized HD Map Construction.
CoRR, 2024

Unlock the Correlation between Supervised Fine-Tuning and Reinforcement Learning in Training Code Large Language Models.
CoRR, 2024

Mistral-C2F: Coarse to Fine Actor for Analytical and Reasoning Enhancement in RLHF and Effective-Merged LLMs.
CoRR, 2024

Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment.
CoRR, 2024

Efficient Text-driven Motion Generation via Latent Consistency Training.
CoRR, 2024

NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization.
CoRR, 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

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

The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24).
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis.
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

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

Harnessing heterogeneity in space with statistically guided meta-learning.
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

Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution.
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

STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data.
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

A Hybrid Search Method for Accelerating Convolutional Neural Architecture Search.
Proceedings of the 15th International Conference on Machine Learning and Computing, 2023

A High-Quality Melody-Aware Peking Opera Synthesizer Using Data Augmentation.
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

A Chaotic Antlion Optimization Algorithm for Text Feature Selection.
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

Bioinformatics analysis methods for cell-free DNA.
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

ProtoX: Explaining a Reinforcement Learning Agent via Prototyping.
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

Sailing in the location-based fairness-bias sphere.
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

A chaotic parallel antlion optimization algorithm for feature selection.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Spherical Graph Embedding for Item Retrieval in Recommendation System.
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

Significant DBSCAN+: Statistically Robust Density-based Clustering.
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

A Survey on Evolutionary Construction of Deep Neural Networks.
IEEE Trans. Evol. Comput., 2021

Shadow prices and marginal abatement costs: Convex quantile regression approach.
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

DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction.
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

Precise Bayes Classifier: Summary of Results.
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

A Survey of Advances in Evolutionary Neural Architecture Search.
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
Predicting User Posting Activities in Online Health Communities with Deep Learning.
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

Guest Editorial: Special Issue on Analytics for Local Events and News.
GeoInformatica, 2020

What drives decarbonization of new passenger cars?
Eur. J. Oper. Res., 2020

A New Approach for Measuring the Resilience of Transport Infrastructure Networks.
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

cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction.
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
Sampling Big Trajectory Data for Traversal Trajectory Aggregate Query.
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

Task Scheduling in Deadline-Aware Mobile Edge Computing Systems.
IEEE Internet Things J., 2019

When Road Information Meets Data Mining: Precision Detection for Heading and Width of Roads.
IEEE Access, 2019

Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach.
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

A Deep Learning based Illegal Parking Detection Platform.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2019

Multi-task based Sales Predictions for Online Promotions.
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

Faster Online Learning of Optimal Threshold for Consistent F-measure Optimization.
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

Predicting Traffic Congestion Propagation Patterns: A Propagation Graph Approach.
Proceedings of the 11th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2018

2017
Spatiotemporal Change Footprint Pattern Discovery.
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

A Novel Approach for Mining Road Information from Low Precision GPS Data.
Proceedings of the International Conference on Networking and Network Applications, 2017

See the near future: A short-term predictive methodology to traffic load in ITS.
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

A Novel Method for Smoothing Raw GPS Data with Low Cost and High Reliability.
Proceedings of the IEEE 84th Vehicular Technology Conference, 2016

A traffic flow approach to early detection of gathering events.
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
Focal-Test-Based Spatial Decision Tree Learning.
IEEE Trans. Knowl. Data Eng., 2015

SVD-based incremental approaches for recommender systems.
J. Comput. Syst. Sci., 2015

Spatiotemporal Data Mining: A Computational Perspective.
ISPRS Int. J. Geo Inf., 2015

2014
Spatiotemporal change footprint pattern discovery: an inter-disciplinary survey.
WIREs Data Mining Knowl. Discov., 2014

Scalable approximating SVD algorithm for recommender systems.
Web Intell. Agent Syst., 2014

Wireless Information and Power Transfer in Multiuser OFDM Systems.
IEEE Trans. Wirel. Commun., 2014

A vision for GPU-accelerated parallel computation on geo-spatial datasets.
ACM SIGSPATIAL Special, 2014

Summary-Vector-Based Effective and Fast Immunization for Epidemic-Based Routing in Opportunistic Networks.
IEEE Commun. Lett., 2014

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

Wireless power meets energy harvesting: A joint energy allocation approach.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Significant Route Discovery: A Summary of Results.
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

Generic and efficient framework for search trees on flash memory storage systems.
GeoInformatica, 2013

A caching-list based fast handoff mechanism in wireless mesh networks.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2013

Focal-Test-Based Spatial Decision Tree Learning: A Summary of Results.
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
Experiences with evacuation route planning algorithms.
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

FAST: A Generic Framework for Flash-Aware Spatial Trees.
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

Discovering interesting sub-paths in spatiotemporal datasets: a summary of results.
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011

2010
Evacuation Planning: A Spatial Network Database Approach.
IEEE Data Eng. Bull., 2010

2007
Lifetime Optimized Methods of Correlated Data Gathering on Sensor Networks.
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
Direct incremental transmission of boundary representation.
Proceedings of the Eighth ACM Symposium on Solid Modeling and Applications 2003, 2003


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