Binbin Zhou

Orcid: 0000-0002-9141-8474

According to our database1, Binbin Zhou authored at least 28 papers between 2010 and 2025.

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Bibliography

2025
KnowMDD: Knowledge-guided Cross Contrastive Learning for Major Depressive Disorder Diagnosis.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024
GENII: A graph neural network-based model for citywide litter prediction leveraging crowdsensing data.
Expert Syst. Appl., March, 2024

A Graph Neural Network with Imbalance-Aware Mechanism for Enhanced Fraud Detection.
Proceedings of the 2024 IEEE Cyber Science and Technology Congress (CyberSciTech), 2024

2023
Unsupervised Domain Adaptation for Crime Risk Prediction Across Cities.
IEEE Trans. Comput. Soc. Syst., December, 2023

GoComfort: Comfortable Navigation for Autonomous Vehicles Leveraging High-Precision Road Damage Crowdsensing.
IEEE Trans. Mob. Comput., November, 2023

Forecasting credit default risk with graph attention networks.
Electron. Commer. Res. Appl., November, 2023

CrowdQ: Predicting the Queue State of Hospital Emergency Department Using Crowdsensing Mobility Data-Driven Models.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023

TransFoxMol: predicting molecular property with focused attention.
Briefings Bioinform., September, 2023

CrowdPatrol: A Mobile Crowdsensing Framework for Traffic Violation Hotspot Patrolling.
IEEE Trans. Mob. Comput., March, 2023

Spatio-temporal analysis of urban crime leveraging multisource crowdsensed data.
Pers. Ubiquitous Comput., 2023

Policy Representation via Diffusion Probability Model for Reinforcement Learning.
CoRR, 2023

TEMPO: A transformer-based mutation prediction framework for SARS-CoV-2 evolution.
Comput. Biol. Medicine, 2023

A Risk-aware Multi-objective Patrolling Route Optimization Method using Reinforcement Learning.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022
Understanding Drivers' Visual and Comprehension Loads in Traffic Violation Hotspots Leveraging Crowd-Based Driving Simulation.
IEEE Trans. Intell. Transp. Syst., 2022

Dynamic road crime risk prediction with urban open data.
Frontiers Comput. Sci., 2022

DeepOffense: a recurrent network based approach for crime prediction.
CCF Trans. Pervasive Comput. Interact., 2022

GENII: A Graph Neural Network-based Model for Citywide Litter Prediction Leveraging Crowdsensing Data.
Proceedings of the IEEE Smartworld, 2022

Modeling Crowdedness of Emergency Departments Leveraging Crowdsensing Mobility Data.
Proceedings of the IEEE Smartworld, 2022

Multimodal Sarcasm Detection Based on Multimodal Sentiment Co-training.
Proceedings of the IEEE Smartworld, 2022

Constrained Update Projection Approach to Safe Policy Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
ESCORT: Fine-Grained Urban Crime Risk Inference Leveraging Heterogeneous Open Data.
IEEE Syst. J., 2021

iTV: Inferring Traffic Violation-Prone Locations With Vehicle Trajectories and Road Environment Data.
IEEE Syst. J., 2021

2020
Forecasting Price Trend of Bulk Commodities Leveraging Cross-domain Open Data Fusion.
ACM Trans. Intell. Syst. Technol., 2020

iTV: Inferring Traffic Violation-Prone Locations with Vehicle Trajectory and Road Environment Data.
CoRR, 2020

2019
iDrug: Pediatric Drug Interaction Modeling and Risk Evaluation Leveraging Prescription Big Data.
Proceedings of the 2019 IEEE SmartWorld, 2019

2018
TSNAdb: A Database for Tumor-specific Neoantigens from Immunogenomics Data Analysis.
Genom. Proteom. Bioinform., 2018

2011
Adaptive Traffic Light Control of Multiple Intersections in WSN-Based ITS.
Proceedings of the 73rd IEEE Vehicular Technology Conference, 2011

2010
Adaptive Traffic Light Control in Wireless Sensor Network-Based Intelligent Transportation System.
Proceedings of the 72nd IEEE Vehicular Technology Conference, 2010


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