Huan Yan
Orcid: 0000-0001-9626-5676Affiliations:
- Tsinghua University, Beijing, China
According to our database1,
Huan Yan
authored at least 34 papers
between 2015 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Generative AI for Intelligent Transportation Systems: Road Transportation Perspective.
ACM Comput. Surv., December, 2025
MRGRP: Empowering Courier Route Prediction in Food Delivery Service with Multi-Relational Graph.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
2024
RCCNet: A Spatial-Temporal Neural Network Model for Logistics Delivery Timely Rate Prediction.
ACM Trans. Intell. Syst. Technol., December, 2024
Multi-scale Simulation of Complex Systems: A Perspective of Integrating Knowledge and Data.
ACM Comput. Surv., December, 2024
Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search.
ACM Trans. Knowl. Discov. Data, August, 2024
Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024
2023
ACM Trans. Intell. Syst. Technol., October, 2023
ACM Trans. Intell. Syst. Technol., August, 2023
Reinforcement Learning for Practical Express Systems with Mixed Deliveries and Pickups.
ACM Trans. Knowl. Discov. Data, April, 2023
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution.
ACM Trans. Knowl. Discov. Data, January, 2023
Contagion Process Guided Cross-scale Spatio-Temporal Graph Neural Network for Traffic Congestion Prediction.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
Periodic Shift and Event-aware Spatio-Temporal Graph Convolutional Network for Traffic Congestion Prediction.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
ACM Trans. Intell. Syst. Technol., 2022
Automated Spatio-Temporal Synchronous Modeling with Multiple Graphs for Traffic Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
IEEE Trans. Netw. Serv. Manag., 2021
IEEE Trans. Knowl. Data Eng., 2021
Discovering and Understanding Geographical Video Viewing Patterns in Urban Neighborhoods.
IEEE Trans. Big Data, 2021
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution.
CoRR, 2021
2019
DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
2018
Temporal-Spatial Mobile Application Usage Understanding and Popularity Prediction for Edge Caching.
IEEE Wirel. Commun., 2018
Spatial Popularity and Similarity of Watching Videos in Large-Scale Urban Environment.
IEEE Trans. Netw. Serv. Manag., 2018
On the Understanding of Video Streaming Viewing Behaviors Across Different Content Providers.
IEEE Trans. Netw. Serv. Manag., 2018
IEEE Trans. Circuits Syst. Video Technol., 2018
2017
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Proceedings of the Eleventh International Conference on Web and Social Media, 2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
Proceedings of the 2016 IEEE Global Communications Conference, 2016
2015
Proceedings of the 2015 IEEE Conference on Computer Communications Workshops, 2015