Haoyu Liu

Orcid: 0000-0002-8998-1217

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2025
Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling.
CoRR, June, 2025

Intention-Aware Denoising Diffusion Model for Trajectory Prediction.
IEEE Trans. Intell. Transp. Syst., May, 2025

MAIN: Mutual Alignment Is Necessary for instruction tuning.
CoRR, April, 2025

Digital Player: Evaluating Large Language Models based Human-like Agent in Games.
CoRR, February, 2025

GeAR: Generation Augmented Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Label-Free Multivariate Time Series Anomaly Detection.
IEEE Trans. Knowl. Data Eng., July, 2024

WindTrans: Transformer-Based Wind Speed Forecasting Method for High-Speed Railway.
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

Rank Aggregation in Crowdsourcing for Listwise Annotations.
CoRR, 2024

A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment.
CoRR, 2024

Se<sup>2</sup>: Sequential Example Selection for In-Context Learning.
CoRR, 2024

The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies.
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

Attention-based Vision Knowledge Adaptation for Constrained Continual Learning.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

Se²: Sequential Example Selection for In-Context Learning.
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

Towards Long-term Annotators: A Supervised Label Aggregation Baseline.
CoRR, 2023

Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective.
CoRR, 2023

Detecting Multivariate Time Series Anomalies with Zero Known Label.
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

Toward Optimal Deployment for Full-View Point Coverage in Camera Sensor Networks.
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
Short-Term Strong Wind Risk Prediction for High-Speed Railway.
IEEE Trans. Intell. Transp. Syst., 2021

A survey of cloud network fault diagnostic systems and tools.
Frontiers Inf. Technol. Electron. Eng., 2021

Fairness-aware Outlier Ensemble.
CoRR, 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

LP-Explain: Local Pictorial Explanation for Outliers.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Orientation Optimization for Full-View Coverage Using Rotatable Camera Sensors.
IEEE Internet Things J., 2019


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