Hongwei Xie

Papers

Total Citations

345

H-Index

About

Hongwei Xie is a leading researcher at the intersection of indoor localization, mobile sensing, and 3D scene understanding. His work is defined by pioneering robust, real-world solutions for autonomous systems and smartphone-based navigation. Xie’s most influential contributions include the development of a reliability-augmented particle filter that dramatically improves the accuracy of magnetic fingerprinting for indoor localization on smartphones—a method that overcomes the critical issue of motion estimation errors. This work, published in 2015, has amassed over 160 citations and is foundational to the field. He further advanced this domain with the "MaLoc" system (2014, 125 citations), which solidified magnetic field data as a viable, infrastructure-free fingerprint for indoor positioning. Demonstrating his forward-looking vision, Xie has recently made a significant impact in 3D occupancy prediction for autonomous driving. His 2024 work, "RenderOcc," introduces a novel 2D rendering supervision paradigm that bypasses the need for expensive 3D voxel annotations, achieving high accuracy with far lower labeling costs. With over 345 total citations across his key works, Hongwei Xie is recognized for bridging practical sensing challenges with cutting-edge deep learning, producing methods that are both highly cited and directly applicable to modern robotics and mobile computing.