Hua Yu

Orcid: 0000-0003-4462-4010

Affiliations:
  • Dalian University of Technology, Dalian, China


According to our database1, Hua Yu authored at least 23 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
TransGP: Task-Conditioned Transformer-Guided Genetic Programming for Multitask Dynamic Flexible Job Shop Scheduling.
CoRR, April, 2026

Towards Diverse and Natural Stochastic Human Motion Prediction With a Novel Multiobjective Optimization Framework.
IEEE Trans. Cogn. Dev. Syst., February, 2026

Grounding Programming Chatbot in Computational Thinking: Design and Evaluation of MazeMate.
Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

2025
MazeMate: An LLM-Powered Chatbot to Support Computational Thinking in Gamified Programming Learning.
CoRR, November, 2025

A Plug-and-Play Multi-Criteria Guidance for Diverse In-Betweening Human Motion Generation.
CoRR, August, 2025

DivDiff: A Conditional Diffusion Model for Diverse Human Motion Prediction.
IEEE Trans. Multim., 2025

A Spatio-Temporal Continuous Network for Stochastic 3D Human Motion Prediction.
IEEE Trans. Circuits Syst. Video Technol., 2025

GAM: A Generative Autoencoder for Diverse Human Motion Prediction.
Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

Solving Discrete (Semi) Unbalanced Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Human-Object Interaction detection via Global Context and Pairwise-level Fusion Features Integration.
Neural Networks, 2024

DivDiff: A Conditional Diffusion Model for Diverse Human Motion Prediction.
CoRR, 2024

TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards Efficient and Diverse Generative Model for Unconditional Human Motion Synthesis.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

An Evolutionary Algorithm with Variable-Length Chromosome for Multi-objective Minimalistic Attack.
Proceedings of the IEEE Conference on Artificial Intelligence, 2024

Similar Locality Based Transfer Evolutionary Optimization for Minimalistic Attacks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
Toward Realistic 3D Human Motion Prediction With a Spatio-Temporal Cross- Transformer Approach.
IEEE Trans. Circuits Syst. Video Technol., October, 2023

2022
Towards Efficient 3D Human Motion Prediction using Deformable Transformer-based Adversarial Network.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

A Preliminary Study of Multi-task MAP-Elites with Knowledge Transfer for Robotic Arm Design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Local-aware spatio-temporal attention network with multi-stage feature fusion for human action recognition.
Neural Comput. Appl., 2021

Pheromone Based Independent Reinforcement Learning for Multiagent Navigation.
Proceedings of the Neural Computing for Advanced Applications, 2021

Brain Tumor Segmentation based on Knowledge Distillation and Adversarial Training.
Proceedings of the International Joint Conference on Neural Networks, 2021


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