Fast wavelength modulated TDLAS imaging system for flame monitoring. - Ang Huang; Zhang Cao 002; Wenshuai Zhao; Hongyu Zhang; Lijun Xu 001 (I2MTC, 2019)

A Multi-frequency WMS Method for Tunable Diode Laser Absorption Spectroscopy Tomography. - Ang Huang; Zhang Cao 002; Wenshuai Zhao; Lijun Xu 001 (IST, 2019)

Multi Scale Supervised 3D U-Net for Kidney and Tumor Segmentation. - Wenshuai Zhao; Zengfeng Zeng (CoRR, 2019)

Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces. - Wenshuai Zhao; Jorge Peña Queralta; Li Qingqing 001; Tomi Westerlund (EUSPN/ICTH, 2020)

Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey. - Wenshuai Zhao; Jorge Peña Queralta; Tomi Westerlund (SSCI, 2020)

Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor Segmentation. - Wenshuai Zhao; Dihong Jiang; Jorge Peña Queralta; Tomi Westerlund (CoRR, 2020)

Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning. - Wenshuai Zhao; Jorge Peña Queralta; Li Qingqing 001; Tomi Westerlund (CoRR, 2020)

Frequency-Division Multiplexing and Main Peak Scanning WMS Method for TDLAS Tomography in Flame Monitoring. - Ang Huang; Zhang Cao 002; Wenshuai Zhao; Hongyu Zhang; Lijun Xu 001 (IEEE Trans. Instrum. Meas., 2020)

A Compact Laser Absorption Spectroscopy Tomographic System With Short Spectral Scanning Time and Adjustable Frame Rate. - Hongyu Zhang; Zhang Cao 002; Wenshuai Zhao; Ang Huang; Zhaoyu Cai; Lijun Xu 001 (IEEE Trans. Instrum. Meas., 2020)

A Simulation Configuration Method for Real-Time Simulation Based on Requirements Analysis. - Wenshuai Zhao; Shubo Yang 001; Xi Wang; Yifu Long; Zhen Jiang; Jiashuai Liu (IEEE Access, 2022)

Self-Paced Multi-Agent Reinforcement Learning. - Wenshuai Zhao; Joni Pajarinen (CoRR, 2022)

MoHydroLib: An HMU Library for Gas Turbine Control System with Modelica. - Yifu Long; Shubo Yang 001; Xi Wang; Zhen Jiang; Jiashuai Liu; Wenshuai Zhao; Meiyin Zhu; Huairong Chen; Keqiang Miao; Yi Zhang (Symmetry, 2022)

Simplified Temporal Consistency Reinforcement Learning. - Yi Zhao 014; Wenshuai Zhao; Rinu Boney; Juho Kannala; Joni Pajarinen (ICML, 2023)

An Optimal Simulation Configuration Method for Real-Time Simulation Based on Simulation Requirements. - Wenshuai Zhao; Xi Wang; Shubo Yang 001; Yifu Long (IEEE Access, 2023)

Less Is More: Robust Robot Learning via Partially Observable Multi-Agent Reinforcement Learning. - Wenshuai Zhao; Eetu-Aleksi Rantala; Joni Pajarinen; Jorge Peña Queralta (CoRR, 2023)

Optimistic Multi-Agent Policy Gradient for Cooperative Tasks. - Wenshuai Zhao; Yi Zhao 014; Zhiyuan Li; Juho Kannala; Joni Pajarinen (CoRR, 2023)

A Gain Scheduling Design Method of the Aero-Engine Fuel Servo Constant Pressure Valve with High Accuracy and Fast Response Ability. - Wenshuai Zhao; Xi Wang; Zhen Jiang; Yifu Long (Symmetry, 2023)

Backpropagation Through Agents. - Zhiyuan Li; Wenshuai Zhao; Lijun Wu; Joni Pajarinen (AAAI, 2024)

Bi-Level Motion Imitation for Humanoid Robots. - Wenshuai Zhao; Yi Zhao 014; Joni Pajarinen; Michael Muehlebach (CoRL, 2024)

Optimistic Multi-Agent Policy Gradient. - Wenshuai Zhao; Yi Zhao 014; Zhiyuan Li; Juho Kannala; Joni Pajarinen (ICML, 2024)

Dual-Loop μ-Synthesis Direct Thrust Control for Turbofan Engines. - Yifu Long; Xi Wang; Wenshuai Zhao; Jiashuai Liu (Symmetry, 2024)

AgentMixer: Multi-Agent Correlated Policy Factorization. - Zhiyuan Li; Wenshuai Zhao; Lijun Wu; Joni Pajarinen (AAAI, 2025)

Cooperative Multi-Agent Planning with Adaptive Skill Synthesis. - Zhiyuan Li; Wenshuai Zhao; Joni Pajarinen (CoRR, 2025)