Haoyu Liu
Orcid: 0000-0002-8998-1217Affiliations:
- Fuxi AI Laboratory, NetEase Games, Hangzhou, China
- Zhejiang University, College of Control Science and Engineering, Hangzhou, China (PhD 2021)
According to our database1,
Haoyu Liu
authored at least 35 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling.
CoRR, June, 2025
IEEE Trans. Intell. Transp. Syst., May, 2025
CoRR, February, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
IEEE Trans. Knowl. Data Eng., July, 2024
IEEE Trans. Intell. Transp. Syst., June, 2024
Toward Efficient Traffic Incident Detection via Explicit Edge-Level Incident Modeling.
IEEE Internet Things J., June, 2024
Promoting human-AI interaction makes a better adoption of deep reinforcement learning: a real-world application in game industry.
Multim. Tools Appl., January, 2024
Latency-Aware Neural Architecture Performance Predictor With Query-to-Tier Technique.
IEEE Trans. Circuits Syst. Video Technol., 2024
A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment.
CoRR, 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Treemil: A Multi-Instance Learning Framework for Time Series Anomaly Detection with Inexact Supervision.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the 2024 IEEE Global Communications Conference, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Pull & Push: Leveraging Differential Knowledge Distillation for Efficient Unsupervised Anomaly Detection and Localization.
IEEE Trans. Circuits Syst. Video Technol., May, 2023
Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective.
CoRR, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Towards Automatic Root Cause Diagnosis of Persistent Packet Loss in Cloud Overlay Network.
IEEE/ACM Trans. Netw., 2022
IEEE Internet Things J., 2022
MTGFlow: Unsupervised Multivariate Time Series Anomaly Detection via Dynamic Graph and Entity-aware Normalizing Flow.
CoRR, 2022
Generalized Global Ranking-Aware Neural Architecture Ranker for Efficient Image Classifier Search.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
2021
IEEE Trans. Intell. Transp. Syst., 2021
Frontiers Inf. Technol. Electron. Eng., 2021
A Self-Attention Based Method for Wind Speed Forecasting in High-Speed Railway System.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021
2020
VTrace: Automatic Diagnostic System for Persistent Packet Loss in Cloud-Scale Overlay Network.
Proceedings of the SIGCOMM '20: Proceedings of the 2020 Annual conference of the ACM Special Interest Group on Data Communication on the applications, 2020
RAIN: Towards Real-Time Core Devices Anomaly Detection Through Session Data in Cloud Network.
Proceedings of the NOMS 2020, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
2019
IEEE Internet Things J., 2019