Yongshuai Liu

23 papers A* 2B 2C 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning.
CoRR
Yongshuai Liu, Xin Liu
2025 J jnl
Adventurer: exploration with BiGAN for deep reinforcement learning.
Appl. Intell.
Yongshuai Liu, Xin Liu
2025 J jnl
Deep Neural Networks Inspired by Differential Equations.
CoRR
Yongshuai Liu, Lianfang Wang, Kuilin Qin, Qinghua Zhang, Faqiang Wang, Li Cui, Jun Liu, Yuping Duan, Tieyong Zeng
2025 J jnl
Evaluating the effectiveness of forest type stratification for aboveground biomass inference.
Int. J. Appl. Earth Obs. Geoinformation
Ziqiang Wu, Xin Liu, Shoumin Cheng, Chenhui Yang, Zongquan Wang, Yongshuai Liu, Lihu Dong, Fengri Li, Yuanshuo Hao
2025 J jnl
Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning.
CoRR
Yongshuai Liu, Xin Liu
2025 J jnl
Towards Fully Automated Decision-Making Systems for Greenhouse Control: Challenges and Opportunities.
CoRR
Yongshuai Liu, Taeyeong Choi, Xin Liu
2024 J jnl
Microgrid control under uncertainty.
Eng. Appl. Artif. Intell.
Avishai Halev, Yongshuai Liu, Xin Liu
2024 — —
Towards Real-World Reinforcement Learning: Constraints and Sample Efficiency
Yongshuai Liu
2023 — conf
Farsighter: Efficient Multi-Step Exploration for Deep Reinforcement Learning.
ICAART (2)
Yongshuai Liu, Xin Liu
2022 J jnl
A Hierarchical Region-Merging Algorithm for 3-D Segmentation of Individual Trees Using UAV-LiDAR Point Clouds.
IEEE Trans. Geosci. Remote. Sens.
Yuanshuo Hao, Faris Rafi Almay Widagdo, Xin Liu, Yongshuai Liu, Lihu Dong, Fengri Li
2021 — conf
CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing.
IEEE BigData
Yongshuai Liu, Jiaxin Ding, Zhi-Li Zhang, Xin Liu
2021 J jnl
CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing.
CoRR
Yongshuai Liu, Jiaxin Ding, Zhi-Li Zhang, Xin Liu
2021 C conf
CTS2: Time Series Smoothing with Constrained Reinforcement Learning.
ACML
Yongshuai Liu, Xin Liu
2021 A* conf
Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey.
IJCAI
Yongshuai Liu, Avishai Halev, Xin Liu
2021 B conf
Resource Allocation Method for Network Slicing Using Constrained Reinforcement Learning.
Networking
Yongshuai Liu, Jiaxin Ding, Xin Liu
2020 B conf
A Constrained Reinforcement Learning Based Approach for Network Slicing.
ICNP
Yongshuai Liu, Jiaxin Ding, Xin Liu
2020 J jnl
I Sense You by Breath: Speaker Recognition via Breath Biometrics.
IEEE Trans. Dependable Secur. Comput.
Li Lu, Lingshuang Liu, Muhammad Jawad Hussain, Yongshuai Liu
2020 A* conf
IPO: Interior-Point Policy Optimization under Constraints.
AAAI
Yongshuai Liu, Jiaxin Ding, Xin Liu
2019 J jnl
IPO: Interior-point Policy Optimization under Constraints.
CoRR
Yongshuai Liu, Jiaxin Ding, Xin Liu
2018 — conf
Less is More: Culling the Training Set to Improve Robustness of Deep Neural Networks.
GameSec
Yongshuai Liu, Jiyu Chen, Hao Chen
2018 J jnl
Less is More: Culling the Training Set to Improve Robustness of Deep Neural Networks.
CoRR
Yongshuai Liu, Jiyu Chen, Hao Chen
2015 J jnl
Improved perception-based spiking neuron learning rule for real-time user authentication.
Neurocomputing
Hong Qu, Xiurui Xie, Yongshuai Liu, Malu Zhang, Li Lu
2015 J jnl
Safeguard: User Reauthentication on Smartphones via Behavioral Biometrics.
IEEE Trans. Comput. Soc. Syst.
Li Lu, Yongshuai Liu