Ziyue Li
Orcid: 0000-0003-4983-9352Affiliations:
- University of Cologne, Germany
- Hong Kong University of Science and Technology, Hong Kong, SAR, China (former)
According to our database1,
Ziyue Li
authored at least 45 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., September, 2024
IEEE Trans. Intell. Transp. Syst., September, 2024
The paradox of the artificial intelligence system development process: the use case of corporate wellness programs using smart wearables.
AI Soc., June, 2024
Relation-Aware Distribution Representation Network for Person Clustering With Multiple Modalities.
IEEE Trans. Multim., 2024
Enabling Tensor Decomposition for Time-Series Classification via A Simple Pseudo-Laplacian Contrast.
CoRR, 2024
CoRR, 2024
Deep Causal Learning to Explain and Quantify The Geo-Tension's Impact on Natural Gas Market.
CoRR, 2024
GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents.
CoRR, 2024
CoRR, 2024
CoRR, 2024
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Benchmarking the Text-to-SQL Capability of Large Language Models: A Comprehensive Evaluation.
CoRR, 2024
Proceedings of the 25th IEEE International Conference on Mobile Data Management, 2024
CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Database and Expert Systems Applications, 2024
PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
VisionTraj: A Noise-Robust Trajectory Recovery Framework based on Large-scale Camera Network.
CoRR, 2023
Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach.
CoRR, 2023
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems.
CoRR, 2023
Choose A Table: Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering.
CoRR, 2023
Reboost Large Language Model-based Text-to-SQL, Text-to-Python, and Text-to-Function - with Real Applications in Traffic Domain.
CoRR, 2023
Tensor Dirichlet Process Multinomial Mixture Model for Passenger Trajectory Clustering.
CoRR, 2023
Poster: A Privacy-preserving Heart Rate Prediction System for Drivers in Connected Vehicles.
Proceedings of the 21st Annual International Conference on Mobile Systems, 2023
MM-DAG: Multi-task DAG Learning for Multi-modal Data - with Application for Traffic Congestion Analysis.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 2023
Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering.
Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2023
Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
A Unified Probabilistic Framework for Spatiotemporal Passenger Crowdedness Inference within Urban Rail Transit Network.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
2022
Profile Decomposition Based Hybrid Transfer Learning for Cold-Start Data Anomaly Detection.
ACM Trans. Knowl. Discov. Data, 2022
Individualized passenger travel pattern multi-clustering based on graph regularized tensor latent dirichlet allocation.
Data Min. Knowl. Discov., 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
2020
IEEE Robotics Autom. Lett., 2020
Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020