Ziyue Li

Orcid: 0000-0003-4983-9352

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., September, 2024

A General Scenario-Agnostic Reinforcement Learning for Traffic Signal Control.
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

Hybrid Mamba for Few-Shot Segmentation.
CoRR, 2024

Enabling Tensor Decomposition for Time-Series Classification via A Simple Pseudo-Laplacian Contrast.
CoRR, 2024

XTraffic: A Dataset Where Traffic Meets Incidents with Explainability and More.
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

DualTime: A Dual-Adapter Multimodal Language Model for Time Series Representation.
CoRR, 2024

TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment.
CoRR, 2024

A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model.
CoRR, 2024

Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling.
CoRR, 2024

PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency.
CoRR, 2024

Benchmarking the Text-to-SQL Capability of Large Language Models: A Comprehensive Evaluation.
CoRR, 2024

Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting.
CoRR, 2024

Spatial-Temporal Large Language Model for Traffic Prediction.
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

Eliminating Feature Ambiguity for Few-Shot Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

SQL-to-Schema Enhances Schema Linking in Text-to-SQL.
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

Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning.
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

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy.
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

A Critical Perceptual Pre-trained Model for Complex Trajectory Recovery.
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

Dynamic Causal Graph Convolutional Network for Traffic Prediction.
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

Adaptive Hierarchical SpatioTemporal Network for Traffic Forecasting.
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

Jointly Contrastive Representation Learning on Road Network and Trajectory.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Tensor Topic Models with Graphs and Applications on Individualized Travel Patterns.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile.
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


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