Yingnan Zhao

23 papers A* 2Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
An Imitative Reinforcement Learning Framework for Pursuit-Lock-Launch Missions.
ACM Trans. Auton. Adapt. Syst.
Siyuan Li, Rongchang Zuo, Bofei Liu, Yaoyu He, Peng Liu, Yingnan Zhao
2026 J jnl
Continuous alignment of multi-target preferences via instructed diffusion model.
Pattern Recognit.
Yingnan Zhao, Xinmiao Wang, Dan Lu, Qilong Han, Chenjia Bai
2026 A* conf
DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks.
AAAI
Jiang Zhu, Yulin Jin, Qingqing Ye, Zhibiao Guo, Kun Fang, Ruochen Du, Yingnan Zhao, Haibo Hu
2026 A* conf
Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning.
AAAI
Yingnan Zhao, Xinmiao Wang, Dewei Wang, Xinzhe Liu, Dan Lu, Qilong Han, Peng Liu, Chenjia Bai
2026 J jnl
Two Time-Scale DRL for Service Caching and Task Offloading in Cross-Domain Marine Networks.
IEEE Trans. Mob. Comput.
Zhaoxiang Huang, Zhiwen Yu, Liang Wang, Yingnan Zhao, Huan Zhou, Bin Guo
2026 J jnl
Understanding and Enhancing Encoder-based Adversarial Transferability against Large Vision-Language Models.
CoRR
Xinwei Zhang, Li Bai, Tianwei Zhang, Youqian Zhang, Qingqing Ye, Yingnan Zhao, Ruochen Du, Haibo Hu
2026 J jnl
X-Loco: Towards Generalist Humanoid Locomotion Control via Synergetic Policy Distillation.
CoRR
Dewei Wang, Xinmiao Wang, Chenyun Zhang, Jiyuan Shi, Yingnan Zhao, Chenjia Bai, Xuelong Li
2025 J jnl
Auxiliary Reward Generation With Transition Distance Representation Learning.
IEEE Trans Autom. Sci. Eng.
Siyuan Li, Shijie Han, Yingnan Zhao, Yiqin Yang, Qianchuan Zhao, Peng Liu
2025 J jnl
Joint Task Offloading and Migration Optimization in UAV-Enabled Dynamic MEC Networks.
IEEE Trans. Serv. Comput.
Liang Wang, Bingnan Shen, Lianbo Ma, Yao Zhang, Yingnan Zhao, Hongzhi Guo, Zhiwen Yu, Bin Guo
2025 J jnl
MoRE: Mixture of Residual Experts for Humanoid Lifelike Gaits Learning on Complex Terrains.
CoRR
Dewei Wang, Xinmiao Wang, Xinzhe Liu, Jiyuan Shi, Yingnan Zhao, Chenjia Bai, Xuelong Li
2025 J jnl
Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning.
CoRR
Yingnan Zhao, Xinmiao Wang, Dewei Wang, Xinzhe Liu, Dan Lu, Qilong Han, Peng Liu, Chenjia Bai
2024 J jnl
An Imitative Reinforcement Learning Framework for Autonomous Dogfight.
CoRR
Siyuan Li, Rongchang Zuo, Peng Liu, Yingnan Zhao
2024 J jnl
Auxiliary Reward Generation with Transition Distance Representation Learning.
CoRR
Siyuan Li, Shijie Han, Yingnan Zhao, By Liang, Peng Liu
2023 — conf
Anomaly Detection of Industrial Data Based on Multivariate Multi Scale Analysis.
GPC (1)
Dan Lu, Siao Li, Yingnan Zhao, Qilong Han
2023 — conf
Review of Deep Learning-Based Entity Alignment Methods.
GPC (1)
Dan Lu, Guoyu Han, Yingnan Zhao, Qilong Han
2023 — conf
UEBCS: Software Development Technology Based on Component Selection.
GPC (1)
Yingnan Zhao, Xuezhao Qi, Jian Li, Dan Lu
2023 J jnl
Variational Diversity Maximization for Hierarchical Skill Discovery.
Neural Process. Lett.
Yingnan Zhao, Peng Liu, Wei Zhao, Xianglong Tang
2023 J jnl
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Chenjia Bai, Peng Liu, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao, Lei Han, Zhaoran Wang
2020 J jnl
Generating attentive goals for prioritized hindsight reinforcement learning.
Knowl. Based Syst.
Peng Liu, Chenjia Bai, Yingnan Zhao, Chenyao Bai, Wei Zhao, Xianglong Tang
2020 J jnl
Obtaining accurate estimated action values in categorical distributional reinforcement learning.
Knowl. Based Syst.
Yingnan Zhao, Peng Liu, Chenjia Bai, Wei Zhao, Xianglong Tang
2020 J jnl
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning.
CoRR
Chenjia Bai, Peng Liu, Zhaoran Wang, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao
2020 J jnl
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
Weiyi Ang, Chenjia Bai, Chao Cai, Yingnan Zhao, Peng Liu
2019 J jnl
An exploratory rollout policy for imagination-augmented agents.
Appl. Intell.
Peng Liu, Yingnan Zhao, Wei Zhao, Xianglong Tang, Zichan Yang