An Intelligent Traveling Service Based on SOA. - Samaneh Navabpour; Laleh Soltan Ghoraie; Ali Akhavan Malayeri; Jingxi Chen; Jianguo Lu (SERVICES I, 2008)

A moving grid cell based MCL algorithm for mobile robot localization. - Yuefeng Wang; Dan Wu 006; Sepideh Seifzadeh; Jingxi Chen (ROBIO, 2009)

Bring consciousness to mobile robot being localized. - Dan Wu 006; Jingxi Chen; Yuefeng Wang (ROBIO, 2009)

Research on the Surface Fractal Characteristic of the Rock with Rockburst Proneness. - Moxiao Li; Yinghua Song; Guang Zhang; Jingxi Chen (Int. J. Online Eng., 2016)

Multi-Agent Reinforcement Learning for Persistent Monitoring. - Jingxi Chen; Amrish Baskaran; Zhongshun Zhang; Pratap Tokekar (CoRR, 2020)

Learning Inter- and Intra-frame Representations for Non-Lambertian Photometric Stereo. - Yanlong Cao; Binjie Ding; Zewei He; Jiangxin Yang; Jingxi Chen; Yanpeng Cao; Xin Li 003 (CoRR, 2020)

Multi-Agent Reinforcement Learning for Visibility-based Persistent Monitoring. - Jingxi Chen; Amrish Baskaran; Zhongshun Zhang; Pratap Tokekar (IROS, 2021)

GALOPP: Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With Localization Constraints. - Manav Mishra; Prithvi Poddar; Jingxi Chen; Pratap Tokekar; P. B. Sujit (CoRR, 2021)

Occupancy Map Prediction for Improved Indoor Robot Navigation. - Vishnu Dutt Sharma; Jingxi Chen; Abhinav Shrivastava; Pratap Tokekar (CoRR, 2022)

Photometric-Stereo-Based Defect Detection System for Metal Parts. - Yanlong Cao; Binjie Ding; Jingxi Chen; Wenyuan Liu; Pengning Guo; Liuyi Huang; Jiangxin Yang (Sensors, 2022)

The City Scale Effect and the Baidu Index Prediction Model of Public Perceptions of the Risks Associated with Autonomous Driving Technology. - Jingxi Chen; Riheng She; Shuwen Yang; Jinfei Ma (HCI (8), 2023)

ProxMaP: Proximal Occupancy Map Prediction for Efficient Indoor Robot Navigation. - Vishnu D. Sharma; Jingxi Chen; Pratap Tokekar (IROS, 2023)

ConVRT: Consistent Video Restoration Through Turbulence with Test-time Optimization of Neural Video Representations. - Haoming Cai; Jingxi Chen; Brandon Y. Feng; Weiyun Jiang; Mingyang Xie; Kevin Zhang 003; Ashok Veeraraghavan; Christopher A. Metzler (CoRR, 2023)

Posture Risk Assessment and Workload Estimation for Material Handling by Computer Vision. - Ziao Wang; Weixing Wang; Jingxi Chen; Xuzhuang Zhang; Ziheng Miao (Int. J. Intell. Syst., 2023)

CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras. - Sachin Shah; Matthew A. Chan 002; Haoming Cai; Jingxi Chen; Sakshum Kulshrestha; Chahat Deep Singh; Yiannis Aloimonos; Christopher A. Metzler (CVPR, 2024)

Active Human Pose Estimation via an Autonomous UAV Agent. - Jingxi Chen; Botao He; Chahat Deep Singh; Cornelia Fermüller; Yiannis Aloimonos (IROS, 2024)

Temporally Consistent Atmospheric Turbulence Mitigation with Neural Representations. - Haoming Cai; Jingxi Chen; Brandon Y. Feng; Weiyun Jiang; Mingyang Xie; Kevin Zhang 003; Cornelia Fermüller; Yiannis Aloimonos; Ashok Veeraraghavan; Christopher A. Metzler (NeurIPS, 2024)

TimeRewind: Rewinding Time with Image-and-Events Video Diffusion. - Jingxi Chen; Brandon Y. Feng; Haoming Cai; Mingyang Xie; Christopher A. Metzler; Cornelia Fermüller; Yiannis Aloimonos (CoRR, 2024)

Learning Normal Flow Directly From Event Neighborhoods. - Dehao Yuan; Levi Burner; Jiayi Wu; Minghui Liu; Jingxi Chen; Yiannis Aloimonos; Cornelia Fermüller (CoRR, 2024)

Microsaccade-inspired event camera for robotics. - Botao He; Ze Wang 009; Yuan Zhou; Jingxi Chen; Chahat Deep Singh; Haojia Li; Yuman Gao; Shaojie Shen; Kaiwei Wang; Yanjun Cao; Chao Xu 001; Yiannis Aloimonos; et al. (Sci. Robotics, 2024)

The moderating effect of self-regulated learning skills on online learning behaviour in blended learning. - Shuang Li; Jingxi Chen; Sizhuo Liu (J. Comput. Assist. Learn., 2024)

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation. - Jingxi Chen; Brandon Y. Feng; Haoming Cai; Tianfu Wang 007; Levi Burner; Dehao Yuan; Cornelia Fermüller; Christopher A. Metzler; Yiannis Aloimonos (CVPR, 2025)

Multi-Agent Deep Reinforcement Learning for Persistent Monitoring With Sensing, Communication, and Localization Constraints. - Manav Mishra; Prithvi Poddar; Rajat Agrawal; Jingxi Chen; Pratap Tokekar; P. B. Sujit (IEEE Trans Autom. Sci. Eng., 2025)