Zhenhui Li

Orcid: 0000-0001-7221-2588

According to our database1, Zhenhui Li authored at least 122 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis.
IEEE Trans. Medical Imaging, May, 2024

Towards Non-invasive and Personalized Management of Breast Cancer Patients from Multiparametric MRI via A Large Mixture-of-Modality-Experts Model.
CoRR, 2024

Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI.
CoRR, 2024

iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer.
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

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.
Patterns, September, 2023

Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre study.
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.
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.
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


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