2025
Predictive value of enhanced CT and pathological indicators in lymph node metastasis in patients with gastric cancer based on GEE model.
BMC Medical Imaging, December, 2025
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology.
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CoRR, May, 2025
Urban Representation Learning for Fine-grained Economic Mapping: A Semi-supervised Graph-based Approach.
CoRR, May, 2025
CWC-transformer: a visual transformer approach for compressed whole slide image classification.
Neural Comput. Appl., April, 2025
Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI.
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IEEE Trans. Medical Imaging, January, 2025
CFI-ViT: A coarse-to-fine inference based vision transformer for gastric cancer subtype detection using pathological images.
Biomed. Signal Process. Control., 2025
2024
Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis.
IEEE Trans. Medical Imaging, May, 2024
Scalable Analysis of Urban Scaling Laws: Leveraging Cloud Computing to Analyze 21,280 Global Cities.
CoRR, 2024
Towards Non-invasive and Personalized Management of Breast Cancer Patients from Multiparametric MRI via A Large Mixture-of-Modality-Experts Model.
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CoRR, 2024
iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer.
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CoRR, 2024
SC-Net: Symmetrical conical network for colorectal pathology image segmentation.
Comput. Methods Programs Biomed., 2024
Live chicken body fat measurement technology based on bio-electrical impedance.
Comput. Electron. Agric., 2024
IRUM: An Image Representation and Unified Learning Method for Breast Cancer Diagnosis from Multi-View Ultrasound Images.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
Exploring Self-Explainable Street-Level IP Geolocation with Graph Information Bottleneck.
Proceedings of the IEEE International Conference on Acoustics, 2024
FMA-YOLO: An Algorithm for Detecting Vehicles and Pedestrians in Infrared Road Scenarios.
Proceedings of the Advances in Computer Graphics, 2024
Improving IP Geolocation With Target-Centric IP Graph (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification With Iterative Cycle-Consistent Semi-Supervised Learning.
IEEE Trans. Medical Imaging, December, 2023
A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification.
IEEE Trans. Medical Imaging, December, 2023
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework.
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Patterns, September, 2023
Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre study.
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Comput. Methods Programs Biomed., August, 2023
A Bit-Level Three-Dimensional Rectangular Image Encryption Algorithm Using New Chaotic Maps.
Autom. Control. Comput. Sci., August, 2023
HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound Images.
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IEEE Trans. Medical Imaging, June, 2023
Digital inclusive finance, economic growth and innovative development.
Kybernetes, 2023
MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation.
Proceedings of the Cancer Prevention Through Early Detection, 2023
Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Meta multi-task nuclei segmentation with fewer training samples.
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Medical Image Anal., 2022
CBLab: Scalable Traffic Simulation with Enriched Data Supporting.
CoRR, 2022
HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling.
Proceedings of the IEEE Smartworld, 2022
The Third Workshop on Data-driven Intelligent Transportation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Bayesian Model-Based Offline Reinforcement Learning for Product Allocation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
App2Vec: Context-Aware Application Usage Prediction.
ACM Trans. Knowl. Discov. Data, 2021
Citywide Traffic Volume Inference with Surveillance Camera Records.
IEEE Trans. Big Data, 2021
Learning to Route via Theory-Guided Residual Network.
CoRR, 2021
Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Objective-aware Traffic Simulation via Inverse Reinforcement Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Knowledge-based Residual Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Boosting Offline Reinforcement Learning with Residual Generative Modeling.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Improving Generalization in Meta-learning via Task Augmentation.
Proceedings of the 38th International Conference on Machine Learning, 2021
Rebuilding City-Wide Traffic Origin Destination from Road Speed Data.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Probabilistic simulation of spatial demand for intelligent product allocation.
Proceedings of the GeoSim@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, 2021
Neural Utility Functions.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
How Do We Move: Modeling Human Movement with System Dynamics.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation.
SIGKDD Explor., 2020
Automatic Historical Feature Generation through Tree-based Method in Ads Prediction.
CoRR, 2020
Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records.
CoRR, 2020
Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning.
CoRR, 2020
Learning to Simulate Human Movement.
CoRR, 2020
A Probabilistic Simulator of Spatial Demand for Product Allocation.
CoRR, 2020
Learning with Small Data.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
Learning to Simulate on Sparse Trajectory Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020
Online Structured Meta-learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Learning with Small Data.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Automated Relational Meta-learning.
Proceedings of the 8th International Conference on Learning Representations, 2020
Learning to Simulate Vehicle Trajectories from Demonstrations.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Few-Shot Knowledge Graph Completion.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Graph Few-Shot Learning via Knowledge Transfer.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
A Simple Baseline for Travel Time Estimation using Large-scale Trip Data.
ACM Trans. Intell. Syst. Technol., 2019
Non-Stationary Model for Crime Rate Inference Using Modern Urban Data.
IEEE Trans. Big Data, 2019
Targeted Source Detection for Environmental Data.
CoRR, 2019
Diagnosing Reinforcement Learning for Traffic Signal Control.
CoRR, 2019
A Survey on Traffic Signal Control Methods.
CoRR, 2019
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario.
Proceedings of the World Wide Web Conference, 2019
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction.
Proceedings of the World Wide Web Conference, 2019
Learning Task-Specific City Region Partition.
Proceedings of the World Wide Web Conference, 2019
Targeted Knowledge Transfer for Learning Traffic Signal Plans.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Hierarchically Structured Meta-learning.
Proceedings of the 36th International Conference on Machine Learning, 2019
Learning Phase Competition for Traffic Signal Control.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Learning Traffic Signal Control from Demonstrations.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
CoLight: Learning Network-level Cooperation for Traffic Signal Control.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Unsupervised Representation Learning of Spatial Data via Multimodal Embedding.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Inferring Mobility Relationship via Graph Embedding.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
Semantic Exploration of Traffic Dynamics.
CoRR, 2018
Modeling Spatial-Temporal Dynamics for Traffic Prediction.
CoRR, 2018
DRN: A Deep Reinforcement Learning Framework for News Recommendation.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
SIGIR 2018 Workshop on Intelligent Transportation Informatics.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
Context-Aware Location Annotation on Mobility Records Through User Grouping.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Representation Learning for Large-Scale Dynamic Networks.
Proceedings of the Database Systems for Advanced Applications, 2018
Detecting Outliers in Data with Correlated Measures.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
A Traffic Prediction Model for Self-Adapting Routing Overlay Network in Publish/Subscribe System.
Mob. Inf. Syst., 2017
Semantic Understanding of Spatial Trajectories.
Proceedings of the Advances in Spatial and Temporal Databases, 2017
Discovery of Causal Time Intervals.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Contextual Spatial Outlier Detection with Metric Learning.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Structural Event Detection from Log Messages.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Region Representation Learning via Mobility Flow.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
Crime Rate Inference with Big Data.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Interpreting traffic dynamics using ubiquitous urban data.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016
A simple baseline for travel time estimation using large-scale trip data.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016
Where Did You Go: Personalized Annotation of Mobility Records.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
ePeriodicity: Mining Event Periodicity from Incomplete Observations.
IEEE Trans. Knowl. Data Eng., 2015
SemMobi: A Semantic Annotation System for Mobility Data.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015
Semantic Annotaion of Mobility Data using Social Media.
Proceedings of the 24th International Conference on World Wide Web, 2015
2014
MoveMine 2.0: Mining Object Relationships from Movement Data.
Proc. VLDB Endow., 2014
Mining GPS Data for Trajectory Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
PGT: Measuring Mobility Relationship Using Personal, Global and Temporal Factors.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Who were you talking to - Mining interpersonal relationships from cellphone network data.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014
Spatiotemporal Pattern Mining: Algorithms and Applications.
Proceedings of the Frequent Pattern Mining, 2014
2013
Attraction and Avoidance Detection from Movements.
Proc. VLDB Endow., 2013
Path planning for power transmission line inspection robot based on visual obstacle detection.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013
Development of a wall-climbing robot with biped-wheel hybrid locomotion mechanism.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
Mining Following Relationships in Movement Data.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Searching online book documents and analyzing book citations.
Proceedings of the ACM Symposium on Document Engineering 2013, 2013
Can back-of-the-book indexes be automatically created?
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
2012
Mining periodicity and object relationship in spatial and temporal data
PhD thesis, 2012
Locality Preserving Feature Learning.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Mining periodic behaviors of object movements for animal and biological sustainability studies.
Data Min. Knowl. Discov., 2012
Mining event periodicity from incomplete observations.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Enabling direct interest-aware audience selection.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
MoveMine: Mining moving object data for discovery of animal movement patterns.
ACM Trans. Intell. Syst. Technol., 2011
Generalized Fisher Score for Feature Selection.
Proceedings of the UAI 2011, 2011
Mining Significant Time Intervals for Relationship Detection.
Proceedings of the Advances in Spatial and Temporal Databases, 2011
Differentially private data cubes: optimizing noise sources and consistency.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011
Linear Discriminant Dimensionality Reduction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Joint Feature Selection and Subspace Learning.
Proceedings of the IJCAI 2011, 2011
Correlated multi-label feature selection.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
Geo-Friends Recommendation in GPS-based Cyber-physical Social Network.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011
Learning a Kernel for Multi-Task Clustering.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
2010
Swarm: Mining Relaxed Temporal Moving Object Clusters.
Proc. VLDB Endow., 2010
Keyword extraction for social snippets.
Proceedings of the 19th International Conference on World Wide Web, 2010
MoveMine: mining moving object databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010
Mining periodic behaviors for moving objects.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Incremental Clustering for Trajectories.
Proceedings of the Database Systems for Advanced Applications, 2010
Mining Moving Object, Trajectory and Traffic Data.
Proceedings of the Database Systems for Advanced Applications, 2010
2009
Temporal Outlier Detection in Vehicle Traffic Data.
Proceedings of the 25th International Conference on Data Engineering, 2009