Task Assignment Algorithm for Road Patrol by Multiple UAVs With Multiple Bases and Rechargeable Endurance. - Linhui Cheng; Luo Zhong; Shasha Tian; Jiaxu Xing (IEEE Access, 2019)

A staged adaptive firefly algorithm for UAV charging planning in wireless sensor networks. - Linhui Cheng; Luo Zhong; Xiao Zhang 006; Jiaxu Xing (Comput. Commun., 2020)

See Yourself in Others: Attending Multiple Tasks for Own Failure Detection. - Boyang Sun; Jiaxu Xing; Hermann Blum; Roland Siegwart; César Cadena 001 (ICRA, 2022)

Efficient Algorithms for Obnoxious Facility Location on a Line Segment or Circle. - Rongrong Chen; Qianlong Xiao; Minghao Hu; Jiaxu Xing; Fei Tang; Jing Qiu 002 (CloudNet, 2023)

Automatically Identifying Sentences with Attack Behavior from Cyber Threat Intelligence Reports. - JunJun Chen; Chengliang Gao; Fei Tang; Jiaxu Xing; Qianlong Xiao; Dongyang Zheng; Jing Qiu 002 (DSC, 2023)

Autonomous Power Line Inspection with Drones via Perception-Aware MPC. - Jiaxu Xing; Giovanni Cioffi; Javier Hidalgo-Carrió; Davide Scaramuzza 001 (IROS, 2023)

Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight. - Jiaxu Xing; Angel Romero; Leonard Bauersfeld; Davide Scaramuzza 001 (CoRL, 2024)

Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight. - Jiaxu Xing; Leonard Bauersfeld; Yunlong Song; Chunwei Xing; Davide Scaramuzza 001 (ICRA, 2024)

Demonstrating Agile Flight from Pixels without State Estimation. - Ismail Geles; Leonard Bauersfeld; Angel Romero; Jiaxu Xing; Davide Scaramuzza 001 (Robotics: Science and Systems, 2024)

Environment as Policy: Learning to Race in Unseen Tracks. - Hongze Wang; Jiaxu Xing; Nico Messikommer; Davide Scaramuzza 001 (CoRR, 2024)

ForesightNav: Learning Scene Imagination for Efficient Exploration. - Hardik Shah; Jiaxu Xing; Nico Messikommer; Boyang Sun; Marc Pollefeys; Davide Scaramuzza 001 (CVPR Workshops, 2025)

Student-Informed Teacher Training. - Nico Messikommer; Jiaxu Xing; Elie Aljalbout; Davide Scaramuzza 001 (ICLR, 2025)

Multi-Task Reinforcement Learning for Quadrotors. - Jiaxu Xing; Ismail Geles; Yunlong Song; Elie Aljalbout; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2025)