Hua Wei

Orcid: 0000-0002-3735-1635

Affiliations:
  • Arizona State University (ASU), AZ, USA
  • New Jersey Institute of Technology, Newark, NJ, USA (former)
  • Pennsylvania State University, PA, USA (former)


According to our database1, Hua Wei authored at least 54 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
eTraM: Event-based Traffic Monitoring Dataset.
CoRR, 2024

Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape.
CoRR, 2024

Privacy-preserving Fine-tuning of Large Language Models through Flatness.
CoRR, 2024

CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models.
CoRR, 2024

Interpreting Graph Neural Networks with In-Distributed Proxies.
CoRR, 2024

When eBPF Meets Machine Learning: On-the-fly OS Kernel Compartmentalization.
CoRR, 2024

Open-TI: Open Traffic Intelligence with Augmented Language Model.
CoRR, 2024

Uncertainty Regularized Evidential Regression.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Probabilistic Offline Policy Ranking with Approximate Bayesian Computation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks.
CoRR, 2023

LLM Powered Sim-to-real Transfer for Traffic Signal Control.
CoRR, 2023

RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task.
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

Learning to Calibrate Hybrid Hyperparameters: a Study on Traffic Simulation.
Proceedings of the 2023 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2023

MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Reinforcement Learning Approaches for Traffic Signal Control under Missing Data.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

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

Rethinking Sentiment Analysis under Uncertainty.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Toward Efficient Traffic Signal Control: Smaller Network Can Do More.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Uncertainty-Aware Grounded Action Transformation Towards Sim-to-Real Transfer for Traffic Signal Control.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Sim2Real Transfer for Traffic Signal Control.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
LibSignal: An Open Library for Traffic Signal Control.
CoRR, 2022

HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling.
Proceedings of the IEEE Smartworld, 2022

Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Modeling Network-level Traffic Flow Transitions on Sparse Data.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 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
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

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

Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling.
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

Learning to Simulate Human Movement.
CoRR, 2020

A Probabilistic Simulator of Spatial Demand for Product Allocation.
CoRR, 2020

Learning to Simulate on Sparse Trajectory Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 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 Unified Framework with Multi-source Data for Predicting Passenger Demands of Ride Services.
ACM Trans. Knowl. Discov. Data, 2019

Diagnosing Reinforcement Learning for Traffic Signal Control.
CoRR, 2019

A Survey on Traffic Signal Control Methods.
CoRR, 2019

Learning Task-Specific City Region Partition.
Proceedings of the World Wide Web Conference, 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

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

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

2016
ZEST: A Hybrid Model on Predicting Passenger Demand for Chauffeured Car Service.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Discovering Event Evolution Chain in Microblog.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

ShutterRoller: Preserving Social Network Privacy towards High-Speed Domain Gateway.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015


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