Hongyu Yan

Orcid: 0009-0005-4187-7460

According to our database1, Hongyu Yan authored at least 31 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
FlowSSC: Universal Generative Monocular Semantic Scene Completion via One-Step Latent Diffusion.
IEEE Robotics Autom. Lett., June, 2026

Smartguardia: smart contract vulnerability detection based on pruning abstract syntax tree and transfer learning.
Computing, April, 2026

ProgressVLA: Progress-Guided Diffusion Policy for Vision-Language Robotic Manipulation.
CoRR, March, 2026

ArtLLM: Generating Articulated Assets via 3D LLM.
CoRR, March, 2026

HY3D-Bench: Generation of 3D Assets.
CoRR, February, 2026

From bodily to digital co-presence: Unpacking the Interaction Ritual Chains of hashtag-driven group formation.
Comput. Hum. Behav., 2026

A Novel Ray-Tracing Channel Model with Full-Wave Simulations for THz Communication Systems.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2026

CTR3D: Cross-View Token Reduction for Dense Multi-View Generation.
Proceedings of the International Conference on 3D Visio, 2026

2025
NANO3D: A Training-Free Approach for Efficient 3D Editing Without Masks.
CoRR, October, 2025

DiffPCN: Latent Diffusion Model Based on Multi-view Depth Images for Point Cloud Completion.
CoRR, September, 2025

Hunyuan3D-Omni: A Unified Framework for Controllable Generation of 3D Assets.
CoRR, September, 2025

PoseMaster: Generating 3D Characters in Arbitrary Poses from a Single Image.
CoRR, June, 2025

Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material.
CoRR, June, 2025

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.
IEEE Robotics Autom. Lett., May, 2025

UniTEX: Universal High Fidelity Generative Texturing for 3D Shapes.
CoRR, May, 2025

HT-STNet: a hierarchical Tucker decomposition and spatio-temporal LSTM network for accurate and efficient shared mobility demand forecasting on sparse data.
Appl. Intell., May, 2025

Shared mobility demand prediction via A fast spatiotemporal tensor autoregression.
Eng. Appl. Artif. Intell., 2025

TerraCraft: City-scale generative procedural modeling with natural languages.
Graph. Model., 2025

CraftsMan3D: High-fidelity Mesh Generation with 3D Native Diffusion and Interactive Geometry Refiner.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View Images.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

SymmCompletion: High-Fidelity and High-Consistency Point Cloud Completion with Symmetry Guidance.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
An Improved QPSO Material Calibration Algorithm for Ray-Tracing at Terahertz Band.
Proceedings of the 24th IEEE International Conference on Communication Technology, 2024

Meta Analysis of Traffic Safety Prediction.
Proceedings of the Twelfth International Conference on Advanced Cloud and Big Data, 2024

2023
Sparse Sample Train Axle Bearing Fault Diagnosis: A Semi-Supervised Model Based on Prior Knowledge Embedding.
IEEE Trans. Instrum. Meas., 2023

Iterative Reconstruction Based on Latent Diffusion Model for Sparse Data Reconstruction.
CoRR, 2023

2022
Low-Level Graph Convolution Network for Point Cloud Processing.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

FBNet: Feedback Network for Point Cloud Completion.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
An Accelerated Iterative Learning Control Approach for X-Y precision plane motion stage.
Proceedings of the 6th International Conference on Automation, 2021

2020
End-to-end video subtitle recognition via a deep Residual Neural Network.
Pattern Recognit. Lett., 2020

2019
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Adversarial Training Based Cross-Lingual Emotion Cause Extraction.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019


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