Online Cost Efficient Customer Recognition System for Retail Analytics. - Yilin Song; Yuanyi Xue; Chenge Li; Xuan Zhao; Sixuan Liu; Xiaona Zhuo; Kangjin Zhang; Bo Yan; Xiaoran Ning; Yao Wang 001; Xin Feng (WACV Workshops, 2017)

QMIX-Based Multi-Agent Reinforcement Learning for Electric Vehicle-Facilitated Peak Shaving. - Li Wang; Sixuan Liu; Pengfei Wang; Lianming Xu; Luyang Hou; Aiguo Fei (GLOBECOM, 2023)

Gradients of Acquisition Functions for Bi-objective Bayesian optimization. - Kaifeng Yang; Sixuan Liu; Michael Affenzeller; Guozhi Dong (ICNC-FSKD, 2023)

Towards Understanding Underwater Weather Events in Rivers Using Autonomous Surface Vehicles. - Alice Kate Li; Yue Mao; Sandeep Manjanna; Sixuan Liu; Jasleen Dhanoa; Bharg Mehta; Victoria M. Edwards; Fernando Cladera Ojeda; Maël Le Men; Eric Sigg; Hugo N. Ulloa; Douglas J. Jerolmack; et al. (CoRR, 2023)

A Speedy Point Cloud Registration Method Based on Region Feature Extraction in Intelligent Driving Scene. - Deli Yan; Weiwang Wang; Shaohua Li; Pengyue Sun; Weiqi Duan; Sixuan Liu (Sensors, 2023)

Prediction With Visual Evidence: Sketch Classification Explanation via Stroke-Level Attributions. - Sixuan Liu; Jingzhi Li 002; Hua Zhang 008; Long Xu 001; Xiaochun Cao (IEEE Trans. Image Process., 2023)

Reinforcement Contract Design for Vehicular-Edge Computing Scheduling and Energy Trading via Deep Q-Network With Hybrid Action Space. - Li Wang 039; Luyang Hou; Sixuan Liu; Zhu Han 001; Jie Wu 001 (IEEE Trans. Mob. Comput., 2024)

RDFCNet: RGB-guided depth feature calibration network for RGB-D salient object detection. - Weiyi Wei; Yongxin Shi; Yibin Wang; Sixuan Liu (Neurocomputing, 2025)