2025
AMM: Adaptive Modularized Reinforcement Model for Multi-city Traffic Signal Control.
CoRR, January, 2025
2024
GeoKnowledgeFusion: A Platform for Multimodal Data Compilation from Geoscience Literature.
Remote. Sens., May, 2024
How Much Can Time-related Features Enhance Time Series Forecasting?
CoRR, 2024
What can LLM tell us about cities?
CoRR, 2024
UMGAD: Unsupervised Multiplex Graph Anomaly Detection.
CoRR, 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
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.
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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
UrbanDataLayer: A Unified Data Pipeline for Urban Science.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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