Improved perception-based spiking neuron learning rule for real-time user authentication. - Hong Qu; Xiurui Xie; Yongshuai Liu; Malu Zhang; Li Lu 001 (Neurocomputing, 2015)

Safeguard: User Reauthentication on Smartphones via Behavioral Biometrics. - Li Lu 001; Yongshuai Liu (IEEE Trans. Comput. Soc. Syst., 2015)

Less is More: Culling the Training Set to Improve Robustness of Deep Neural Networks. - Yongshuai Liu; Jiyu Chen; Hao Chen 003 (GameSec, 2018)

IPO: Interior-Point Policy Optimization under Constraints. - Yongshuai Liu; Jiaxin Ding 001; Xin Liu 002 (AAAI, 2020)

A Constrained Reinforcement Learning Based Approach for Network Slicing. - Yongshuai Liu; Jiaxin Ding 001; Xin Liu 002 (ICNP, 2020)

I Sense You by Breath: Speaker Recognition via Breath Biometrics. - Li Lu 001; Lingshuang Liu; Muhammad Jawad Hussain; Yongshuai Liu (IEEE Trans. Dependable Secur. Comput., 2020)

CTS2: Time Series Smoothing with Constrained Reinforcement Learning. - Yongshuai Liu; Xin Liu 002 (ACML, 2021)

CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing. - Yongshuai Liu; Jiaxin Ding 001; Zhi-Li Zhang; Xin Liu 002 (IEEE BigData, 2021)

Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey. - Yongshuai Liu; Avishai Halev; Xin Liu 002 (IJCAI, 2021)

Resource Allocation Method for Network Slicing Using Constrained Reinforcement Learning. - Yongshuai Liu; Jiaxin Ding 001; Xin Liu 002 (Networking, 2021)

A Hierarchical Region-Merging Algorithm for 3-D Segmentation of Individual Trees Using UAV-LiDAR Point Clouds. - Yuanshuo Hao; Faris Rafi Almay Widagdo; Xin Liu; Yongshuai Liu; Lihu Dong; Fengri Li (IEEE Trans. Geosci. Remote. Sens., 2022)

Farsighter: Efficient Multi-Step Exploration for Deep Reinforcement Learning. - Yongshuai Liu; Xin Liu 002 (ICAART (2), 2023)

Microgrid control under uncertainty. - Avishai Halev; Yongshuai Liu; Xin Liu 002 (Eng. Appl. Artif. Intell., 2024)

Towards Real-World Reinforcement Learning: Constraints and Sample Efficiency - Yongshuai Liu (2024)

Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning. - Yongshuai Liu; Xin Liu (CoRR, 2025)

Towards Fully Automated Decision-Making Systems for Greenhouse Control: Challenges and Opportunities. - Yongshuai Liu; Taeyeong Choi; Xin Liu (CoRR, 2025)

Adventurer: exploration with BiGAN for deep reinforcement learning. - Yongshuai Liu; Xin Liu (Appl. Intell., 2025)