Yixian Zhang

Orcid: 0000-0001-7408-7397

According to our database1, Yixian Zhang authored at least 13 papers between 2019 and 2025.

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

2025
SAC Flow: Sample-Efficient Reinforcement Learning of Flow-Based Policies via Velocity-Reparameterized Sequential Modeling.
CoRR, September, 2025

Bidirectional Soft Actor-Critic: Leveraging Forward and Reverse KL Divergence for Efficient Reinforcement Learning.
CoRR, June, 2025

Policy Newton Algorithm in Reproducing Kernel Hilbert Space.
CoRR, June, 2025

Distributional Decision Transformer: Risk-Sensitive Offline RL via Quantile-Based Critics and Stochastic Return.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Residual Kernel Policy Network: Enhancing Stability and Robustness in RKHS-Based Reinforcement Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Deep Reinforcement Learning Using Optimized Monte Carlo Tree Search in EWN.
IEEE Trans. Games, September, 2024

2023
Consensus algorithm for medical data storage and sharing based on master-slave multi-chain of alliance chain.
High Confid. Comput., 2023

Attention: Large Multimodal Model is Watching your Geo-privacy.
CoRR, 2023

2022
Constrained multi-objective optimization of short-term crude oil scheduling with dual pipelines and charging tank maintenance requirement.
Inf. Sci., 2022

2020
Many-objective optimization for scheduling of crude oil operations based on NSGA-Ⅲ with consideration of energy efficiency.
Swarm Evol. Comput., 2020

Experiments of Federated Learning for COVID-19 Chest X-ray Images.
CoRR, 2020

COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining.
CoRR, 2020

2019
A Smart Water Metering System Based on Image Recognition and Narrowband Internet of Things.
Rev. d'Intelligence Artif., 2019


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