Guanjie Zheng

Orcid: 0000-0001-9033-1652

According to our database1, Guanjie Zheng authored at least 53 papers between 2017 and 2024.

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Bibliography

2024
GeoKnowledgeFusion: A Platform for Multimodal Data Compilation from Geoscience Literature.
Remote. Sens., May, 2024

C-Mamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting.
CoRR, 2024

MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data.
CoRR, 2024

CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting.
CoRR, 2024

GeoViz: A Multi-View Visualization Platform for Spatio-temporal Knowledge Graph.
CoRR, 2024

Sm-Nd Isotope Data Compilation from Geoscientific Literature Using an Automated Tabular Extraction Method.
CoRR, 2024

Dual-Channel Multiplex Graph Neural Networks for Recommendation.
CoRR, 2024

AceMap: Knowledge Discovery through Academic Graph.
CoRR, 2024

Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting.
CoRR, 2024

Frequency Enhanced Pre-training for Cross-City Few-shot Traffic Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Graph Data Condensation via Self-expressive Graph Structure Reconstruction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Dataset Condensation for Time Series Classification via Dual Domain Matching.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Controlled Table-to-Text Generation with Scientific Reasoning.
Proceedings of the IEEE International Conference on Acoustics, 2024

POI-Based Traffic Generation via Supervised Contrastive Learning on Reconstructed Graph.
Proceedings of the Database Systems for Advanced Applications, 2024

MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Few-Shot Table-to-Text Generation with Prompt-based Adapter.
CoRR, 2023

FDTI: Fine-Grained Deep Traffic Inference with Roadnet-Enriched Graph.
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.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Uncertainty-aware Traffic Prediction under Missing Data.
Proceedings of the IEEE International Conference on Data Mining, 2023

Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

GeoImageCut: A Toolkit for Image Cut from Geoscience Literature.
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.
Comput. Geosci., 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

CTRL: Cooperative Traffic Tolling via Reinforcement Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare.
CoRR, 2021

Learning to Route via Theory-Guided Residual Network.
CoRR, 2021

Overview of the 1st Workshop on City Brain Research.
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.
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

Rebuilding City-Wide Traffic Origin Destination from Road Speed Data.
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.
SIGKDD Explor., 2020

Learning to Simulate on Sparse Trajectory Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Learning to Simulate Vehicle Trajectories from Demonstrations.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

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

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

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

Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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

IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

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


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