Haoyang He

Orcid: 0009-0000-3681-9841

According to our database1, Haoyang He authored at least 29 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
MLCA-UNet: medical image segmentation networks with multiscale linear and convolutional attention.
Signal Image Video Process., June, 2025

UltraVideo: High-Quality UHD Video Dataset with Comprehensive Captions.
CoRR, June, 2025

DNN-Based Task Partitioning and Offloading in Edge-Cloud Collaboration Within Electric Vehicles.
IEEE Trans. Consumer Electron., May, 2025

RayFronts: Open-Set Semantic Ray Frontiers for Online Scene Understanding and Exploration.
CoRR, April, 2025

A multi-scale feature extraction and fusion-based model for retinal vessel segmentation in fundus images.
Medical Biol. Eng. Comput., February, 2025

Job Scheduling in Hybrid Clouds With Privacy Constraints: A Deep Reinforcement Learning Approach.
Concurr. Comput. Pract. Exp., January, 2025

Real-time workflow scheduling in hybrid clouds with privacy and security constraints: A deep reinforcement learning approach.
Expert Syst. Appl., 2025

MobileMamba: Lightweight Multi-Receptive Visual Mamba Network.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

FinanceReasoning: Benchmarking Financial Numerical Reasoning More Credible, Comprehensive and Challenging.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
A Transformer-based network intrusion detection approach for cloud security.
J. Cloud Comput., December, 2024

EMOv2: Pushing 5M Vision Model Frontier.
CoRR, 2024

LLaVA-KD: A Framework of Distilling Multimodal Large Language Models.
CoRR, 2024

Learning Multi-view Anomaly Detection.
CoRR, 2024

ADer: A Comprehensive Benchmark for Multi-class Visual Anomaly Detection.
CoRR, 2024

PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning.
CoRR, 2024

MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A LLMs-Based Procuratorial Service for Detecting Drug Trafficking on Digital Forensics Data.
Proceedings of the Service-Oriented Computing - ICSOC 2024 Workshops, 2024

MARS: Multi-Agent Deep Reinforcement Learning for Real-Time Workflow Scheduling in Hybrid Clouds with Privacy Protection.
Proceedings of the 30th IEEE International Conference on Parallel and Distributed Systems, 2024

A Diffusion-Based Framework for Multi-Class Anomaly Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
File processing security detection in multi-cloud environments: a process mining approach.
J. Cloud Comput., December, 2023

Towards accurate dense pedestrian detection via occlusion-prediction aware label assignment and hierarchical-NMS.
Pattern Recognit. Lett., October, 2023

Infrared Moving Small Target Detection Based on Consistency of Sparse Trajectory.
IEEE Geosci. Remote. Sens. Lett., 2023

DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.
CoRR, 2023

CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection.
CoRR, 2023

A Survey on Offline Model-Based Reinforcement Learning.
CoRR, 2023

2022
GAS-NeXt: Few-Shot Cross-Lingual Font Generator.
CoRR, 2022

Automatic Eye-in-Hand Calibration using EKF.
CoRR, 2022

2020
Online Collision Avoidance for Human-Robot Collaborative Interaction Concerning Safety and Efficiency.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2020


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