Guanjie Zheng

Orcid: 0000-0001-9033-1652

According to our database¹, Guanjie Zheng authored at least 45 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Sm-Nd Isotope Data Compilation from Geoscientific Literature Using an Automated Tabular Extraction Method.

[BibT_eX]

[DOI]

CoRR, 2024

Dual-Channel Multiplex Graph Neural Networks for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Graph Data Condensation via Self-expressive Graph Structure Reconstruction.

[BibT_eX]

[DOI]

Zhanyu Liu

Chaolv Zeng

Guanjie Zheng

CoRR, 2024

Dataset Condensation for Time Series Classification via Dual Domain Matching.

[BibT_eX]

[DOI]

CoRR, 2024

AceMap: Knowledge Discovery through Academic Graph.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting.

[BibT_eX]

[DOI]

Zhanyu Liu

Guanjie Zheng

Yanwei Yu

CoRR, 2024

2023

Towards Controlled Table-to-Text Generation with Scientific Reasoning.

[BibT_eX]

[DOI]

CoRR, 2023

Few-Shot Table-to-Text Generation with Prompt-based Adapter.

[BibT_eX]

[DOI]

CoRR, 2023

FDTI: Fine-Grained Deep Traffic Inference with Roadnet-Enriched Graph.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

CBLab: Supporting the Training of Large-scale Traffic Control Policies with Scalable Traffic Simulation.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Uncertainty-aware Traffic Prediction under Missing Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank.

[BibT_eX]

[DOI]

Zhanyu Liu

Guanjie Zheng

Yanwei Yu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

GeoImageCut: A Toolkit for Image Cut from Geoscience Literature.

[BibT_eX]

[DOI]

Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022

Using a neural network - Physics-based hybrid model to predict soil reaction fronts.

[BibT_eX]

[DOI]

Comput. Geosci., 2022

CBLab: Scalable Traffic Simulation with Enriched Data Supporting.

[BibT_eX]

[DOI]

CoRR, 2022

HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE Smartworld, 2022

CTRL: Cooperative Traffic Tolling via Reinforcement Learning.

[BibT_eX]

[DOI]

Yiheng Wang

Hexi Jin

Guanjie Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare.

[BibT_eX]

[DOI]

CoRR, 2021

Learning to Route via Theory-Guided Residual Network.

[BibT_eX]

[DOI]

Chang Liu

Guanjie Zheng

Zhenhui Li

CoRR, 2021

Overview of the 1st Workshop on City Brain Research.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Objective-aware Traffic Simulation via Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Knowledge-based Residual Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Rebuilding City-Wide Traffic Origin Destination from Road Speed Data.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation.

[BibT_eX]

[DOI]

SIGKDD Explor., 2020

Learning to Simulate on Sparse Trajectory Data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Learning to Simulate Vehicle Trajectories from Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Targeted Source Detection for Environmental Data.

[BibT_eX]

[DOI]

CoRR, 2019

Diagnosing Reinforcement Learning for Traffic Signal Control.

[BibT_eX]

[DOI]

CoRR, 2019

A Survey on Traffic Signal Control Methods.

[BibT_eX]

[DOI]

CoRR, 2019

Targeted Knowledge Transfer for Learning Traffic Signal Plans.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning Phase Competition for Traffic Signal Control.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Learning Traffic Signal Control from Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

CoLight: Learning Network-level Cooperation for Traffic Signal Control.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Modeling Spatial-Temporal Dynamics for Traffic Prediction.

[BibT_eX]

[DOI]

CoRR, 2018

DRN: A Deep Reinforcement Learning Framework for News Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Discovery of Causal Time Intervals.

[BibT_eX]

[DOI]

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Contextual Spatial Outlier Detection with Metric Learning.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Guanjie Zheng

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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