Haitao Yuan

Orcid: 0000-0001-6721-065X

Affiliations:
  • Nanyang Technological University, School of Computer Science and Engineering, Singapore
  • Tsinghua University, Beijing, China (PhD 2021)


According to our database1, Haitao Yuan authored at least 43 papers between 2017 and 2025.

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Timeline

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Bibliography

2025
TagRec: Temporal-Aware Graph Contrastive Learning With Theoretical Augmentation for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., May, 2025

A Collaborative Cloud-Edge Approach for Robust Edge Workload Forecasting.
IEEE Trans. Mob. Comput., April, 2025

RLER-TTE: An Efficient and Effective Framework for En Route Travel Time Estimation with Reinforcement Learning.
Proc. ACM Manag. Data, February, 2025

MAST: Towards Efficient Analytical Query Processing on Point Cloud Data.
Proc. ACM Manag. Data, February, 2025

RLOMM: An Efficient and Robust Online Map Matching Framework with Reinforcement Learning.
CoRR, February, 2025

SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
ELAKT: Enhancing Locality for Attentive Knowledge Tracing.
ACM Trans. Inf. Syst., July, 2024

OD-Prophet: Toward Efficiently Predicting Individual Origin-Destination Travel Demand in Location-Based Services.
IEEE Internet Things J., July, 2024

F$^{3}$3VeTrac: Enabling Fine-Grained, Fully-Road-Covered, and Fully-Individual- Penetrative Vehicle Trajectory Recovery.
IEEE Trans. Mob. Comput., May, 2024

Nuhuo: An Effective Estimation Model for Traffic Speed Histogram Imputation on A Road Network.
Proc. VLDB Endow., March, 2024

LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency.
Proc. VLDB Endow., 2024

CORAG: A Cost-Constrained Retrieval Optimization System for Retrieval-Augmented Generation.
CoRR, 2024

Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

STMGF: An Effective Spatial-Temporal Multi-granularity Framework for Traffic Forecasting.
Proceedings of the Database Systems for Advanced Applications, 2024

LAMRec: Label-aware Multi-view Drug Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

IPM: Information Lossless Pre-training Strategy for Molecular Property Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Demystifying the QoS and QoE of Edge-hosted Video Streaming Applications in the Wild with SNESet.
Proc. ACM Manag. Data, December, 2023

$\mathtt {AutoView}$: An Autonomous Materialized View Management System With Encoder-Reducer.
IEEE Trans. Knowl. Data Eng., June, 2023

Automatic Road Extraction with Multi-Source Data Revisited: Completeness, Smoothness and Discrimination.
Proc. VLDB Endow., 2023

ELASTIC: Edge Workload Forecasting based on Collaborative Cloud-Edge Deep Learning.
Proceedings of the ACM Web Conference 2023, 2023

Towards Practical Few-shot Federated NLP.
Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

An Effective Deep Learning Model for Route Travel Time Estimation on A Road Network.
Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022
A Deep Generative Model for Trajectory Modeling and Utilization.
Proc. VLDB Endow., 2022

Route Travel Time Estimation on A Road Network Revisited: Heterogeneity, Proximity, Periodicity and Dynamicity.
Proc. VLDB Endow., 2022

AUG-FedPrompt: Practical Few-shot Federated NLP with Data-augmented Prompts.
CoRR, 2022

Is it fair? Resource allocation for differentiated services on demands.
Proceedings of the IEEE International Conference on Web Services, 2022

Effective Few-Shot Named Entity Linking by Meta-Learning.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Clinical Phenotyping Prediction via Auxiliary Task Selection and Adaptive Shared-Space Correction.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation.
Data Sci. Eng., 2021

An Autonomous Materialized View Management System with Deep Reinforcement Learning.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

An Effective Joint Prediction Model for Travel Demands and Traffic Flows.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter.
Proceedings of the 2020 International Conference on Management of Data, 2020

Automatic View Generation with Deep Learning and Reinforcement Learning.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Coupled Graph Convolutional Neural Networks for Text-Oriented Clinical Diagnosis Inference.
Proceedings of the Database Systems for Advanced Applications, 2020

2019
Towards Automatic Mathematical Exercise Solving.
Data Sci. Eng., 2019

Ratel: Interactive Analytics for Large Scale Trajectories.
Proceedings of the 2019 International Conference on Management of Data, 2019

Distributed In-memory Trajectory Similarity Search and Join on Road Network.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

MathGraph: A Knowledge Graph for Automatically Solving Mathematical Exercises.
Proceedings of the Database Systems for Advanced Applications, 2019

2018
CDB: A Crowd-Powered Database System.
Proc. VLDB Endow., 2018

2017
CDB: Optimizing Queries with Crowd-Based Selections and Joins.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017


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