An improved range-free location algorithm for industrial wireless sensor networks. - Xiangjun Li; Kexuan Wang; Bocheng Liu; Juxin Xiao; Songyuan Han (EURASIP J. Wirel. Commun. Netw., 2020)

Efficient Feasibility Analysis for Graph-Based Real-Time Task Systems. - Jinghao Sun; Rongxiao Shi; Kexuan Wang; Nan Guan; Zhishan Guo (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Super-twisting disturbance observer-based fuzzy adaptive finite-time control for a class of space unmanned systems with time-varying output constraints. - Yao Zhang; Xin Ning 002; Zheng Wang 033; Kexuan Wang; Caisheng Wei (J. Syst. Control. Eng., 2021)

Lightweight Facial Attractiveness Prediction Using Dual Label Distribution. - Shu Liu 002; Enquan Huang; Yan Xu 015; Kexuan Wang; Xiaoyan Kui; Tao Lei; Hongying Meng (CoRR, 2022)

Computation of facial attractiveness from 3D geometry. - Shu Liu 002; Enquan Huang; Yan Xu 015; Kexuan Wang; Deepak Kumar Jain 001 (Soft Comput., 2022)

Joint Pilot Optimization, Target Detection and Channel Estimation for Integrated Sensing and Communication Systems. - Zhe Huang; Kexuan Wang; An Liu 001; Yunlong Cai; Rui Du; Tony Xiao Han (IEEE Trans. Wirel. Commun., 2022)

A Single-Loop Deep Actor-Critic Algorithm for Constrained Reinforcement Learning with Provable Convergence. - Kexuan Wang; An Liu 001; Baishuo Liu (CoRR, 2023)

RFNET: Refined Fusion Three-Branch RGB-D Salient Object Detection Network. - Kexuan Wang; Chenhua Liu; Huiguang Wei; Li Jing; Rongfu Zhang (ICIP, 2024)

Constrained Deep Actor-Critic Based Transmission Power Scheduling for Delay-Sensitive Applications. - Kexuan Wang; An Liu 001 (PIMRC, 2024)

3D facial attractiveness prediction based on deep feature fusion. - Yu Liu; Enquan Huang; Ziyu Zhou; Kexuan Wang; Shu Liu 002 (Comput. Animat. Virtual Worlds, 2024)

Single-Loop Deep Actor-Critic for Constrained Reinforcement Learning With Provable Convergence. - Kexuan Wang; An Liu 001; Baishuo Lin (IEEE Trans. Signal Process., 2024)

Robust WMMSE-Based Precoder With Practice-Oriented Design for Massive MU-MIMO. - Kexuan Wang; An Liu 001 (IEEE Wirel. Commun. Lett., 2024)

Accelerated Constrained Reinforcement Learning Based Energy-Efficient Power Scheduling Algorithm for Extended Reality Transmission. - Kexuan Wang; An Liu 001 (WCNC, 2025)

Context-aware Constrained Reinforcement Learning Based Energy-Efficient Power Scheduling for Non-stationary XR Data Traffic. - Kexuan Wang; An Liu 001 (CoRR, 2025)

A Hybrid Reinforcement Learning Framework for Hard Latency Constrained Resource Scheduling. - Luyuan Zhang; An Liu 001; Kexuan Wang (CoRR, 2025)

CMA-SOD: cross-modal attention fusion network for RGB-D salient object detection. - Kexuan Wang; Chenhua Liu; Rongfu Zhang (Vis. Comput., 2025)

A Lightweight RL-Driven Deep Unfolding Network for Robust WMMSE Precoding in Massive MU-MIMO-OFDM Systems. - Kexuan Wang; An Liu (CoRR, 2025)

Joint User Priority and Power Scheduling for QoS-Aware WMMSE Precoding: A Constrained-Actor Attentive-Critic Approach. - Kexuan Wang; An Liu (CoRR, 2025)