Haoyu Liu
Orcid: 0000-0003-3755-5184
According to our database1,
Haoyu Liu
authored at least 65 papers
between 2017 and 2024.
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Bibliography
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
High-resolution conductivity reconstruction by electrical impedance tomography using structure-aware hybrid-fusion learning.
Comput. Methods Programs Biomed., January, 2024
CoRR, 2024
A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment.
CoRR, 2024
XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques.
CoRR, 2024
TreeMIL: A Multi-instance Learning Framework for Time Series Anomaly Detection with Inexact Supervision.
CoRR, 2024
Discovering Players' Problem-Solving Behavioral Characteristics in a Puzzle Game through Sequence Mining.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024
EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training.
ACM Trans. Model. Comput. Simul., July, 2023
Ann. Oper. Res., June, 2023
Pull & Push: Leveraging Differential Knowledge Distillation for Efficient Unsupervised Anomaly Detection and Localization.
IEEE Trans. Circuits Syst. Video Technol., May, 2023
Comput. Networks, February, 2023
An efficient federated learning framework for multi-channeled mobile edge network with layered gradient compression.
Comput. Networks, February, 2023
Amoeba: Circumventing ML-supported Network Censorship via Adversarial Reinforcement Learning.
PACMNET, 2023
Ind. Manag. Data Syst., 2023
Joint extraction of organizations and relations for emergency response plans with rich semantic information based on multi-head attention mechanism.
Int. Arab J. Inf. Technol., 2023
Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data.
CoRR, 2023
Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective.
CoRR, 2023
SIMGA: A Simple and Effective Heterophilous Graph Neural Network with Efficient Global Aggregation.
CoRR, 2023
A real-time privacy-preserving scheme based on grouping queries for continuous location-based services.
Concurr. Comput. Pract. Exp., 2023
Proceedings of the 16th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
What Appears Suboptimal May Surprise You: A Fixed-Rate Scheduling Policy for Geo-Distributed CoFlows.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
Proceedings of the 16th International Conference on Educational Data Mining, 2023
Proceedings of the 11th International Conference on Agro-Geoinformatics, 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
Dynamic graph computing: A method of finding companion vehicles from traffic streaming data.
Inf. Sci., 2022
IEEE Internet Things J., 2022
MTGFlow: Unsupervised Multivariate Time Series Anomaly Detection via Dynamic Graph and Entity-aware Normalizing Flow.
CoRR, 2022
LEBP - Language Expectation & Binding Policy: A Two-Stream Framework for Embodied Vision-and-Language Interaction Task Learning Agents.
CoRR, 2022
NetSentry: A deep learning approach to detecting incipient large-scale network attacks.
Comput. Commun., 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
Exploring Coarse-grained Pre-guided Attention to Assist Fine-grained Attention Reinforcement Learning Agents.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
IEEE Trans. Intell. Transp. Syst., 2021
Erratum: Liu et al. Nightlight as a Proxy of Economic Indicators: Fine-Grained GDP Inference around Chinese Mainland via Attention-Augmented CNN from Daytime Satellite Imagery. Remote Sens. 2021, 13, 2067.
Remote. Sens., 2021
Nightlight as a Proxy of Economic Indicators: Fine-Grained GDP Inference Around Mainland China via Attention-Augmented CNN from Daytime Satellite Imagery.
Remote. Sens., 2021
Frontiers Inf. Technol. Electron. Eng., 2021
Toward Efficient Federated Learning in Multi-Channeled Mobile Edge Network with Layerd Gradient Compression.
CoRR, 2021
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021
Differences in learning engagement, academic workload, and technology use during online learning: a comparison among primary, middle, and high school students.
Proceedings of the 2021 IEEE International Conference on Engineering, 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
Pyramid Pooling Module-Based Semi-Siamese Network: A Benchmark Model for Assessing Building Damage from xBD Satellite Imagery Datasets.
Remote. Sens., 2020
Development and Application of an Intelligent Modeling Method for Ancient Wooden Architecture.
ISPRS Int. J. Geo Inf., 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 Information Security - 23rd International Conference, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
2019
IEEE Internet Things J., 2019
A method of automatic extraction of parameters of multi-LoD BIM models for typical components in wooden architectural-heritage structures.
Adv. Eng. Informatics, 2019
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019
Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019
2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
2017
Image Matters: Jointly Train Advertising CTR Model with Image Representation of Ad and User Behavior.
CoRR, 2017
An Novel Approach to Evaluate the Reliability of Cloud Rendering System Using Probabilistic Model Checker PRISM: A Quantitative Computing Perspective.
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017
Proceedings of the 28th IEEE International Conference on Application-specific Systems, 2017