Yingnan Zhao

Orcid: 0009-0002-5037-8813

Affiliations:
  • Harbin Institute of Technology, School of Computer Science and Technology, China


According to our database1, Yingnan Zhao authored at least 25 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

Online presence:

On csauthors.net:

Bibliography

2026
An Imitative Reinforcement Learning Framework for Pursuit-Lock-Launch Missions.
ACM Trans. Auton. Adapt. Syst., March, 2026

X-Loco: Towards Generalist Humanoid Locomotion Control via Synergetic Policy Distillation.
CoRR, March, 2026

Understanding and Enhancing Encoder-based Adversarial Transferability against Large Vision-Language Models.
CoRR, February, 2026

Two Time-Scale DRL for Service Caching and Task Offloading in Cross-Domain Marine Networks.
IEEE Trans. Mob. Comput., January, 2026

Continuous alignment of multi-target preferences via instructed diffusion model.
Pattern Recognit., 2026

DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
MoRE: Mixture of Residual Experts for Humanoid Lifelike Gaits Learning on Complex Terrains.
CoRR, June, 2025

Joint Task Offloading and Migration Optimization in UAV-Enabled Dynamic MEC Networks.
IEEE Trans. Serv. Comput., 2025

Auxiliary Reward Generation With Transition Distance Representation Learning.
IEEE Trans Autom. Sci. Eng., 2025

MSC-TFN: Multi-Scale Convolutional and Transformer Fusion Network for Breast Tumor Classification in Ultrasound Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
An Imitative Reinforcement Learning Framework for Autonomous Dogfight.
CoRR, 2024

Auxiliary Reward Generation with Transition Distance Representation Learning.
CoRR, 2024

2023
Adversarial Defense Method Based on Latent Representation Guidance for Remote Sensing Image Scene Classification.
Entropy, September, 2023

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Variational Diversity Maximization for Hierarchical Skill Discovery.
Neural Process. Lett., February, 2023

Research on Script-Based Software Component Development.
Proceedings of the Green, Pervasive, and Cloud Computing - 18th International Conference, 2023

UEBCS: Software Development Technology Based on Component Selection.
Proceedings of the Green, Pervasive, and Cloud Computing - 18th International Conference, 2023

Anomaly Detection of Industrial Data Based on Multivariate Multi Scale Analysis.
Proceedings of the Green, Pervasive, and Cloud Computing - 18th International Conference, 2023

Review of Deep Learning-Based Entity Alignment Methods.
Proceedings of the Green, Pervasive, and Cloud Computing - 18th International Conference, 2023

2020
Obtaining accurate estimated action values in categorical distributional reinforcement learning.
Knowl. Based Syst., 2020

Generating attentive goals for prioritized hindsight reinforcement learning.
Knowl. Based Syst., 2020

深度强化学习中稀疏奖励问题研究综述 (Survey on Sparse Reward in Deep Reinforcement Learning).
计算机科学, 2020

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning.
CoRR, 2020

2019
An exploratory rollout policy for imagination-augmented agents.
Appl. Intell., 2019


  Loading...