activity
20182020
most citedU-rank: Utility-oriented Learning to Rank with Implicit Feedback

18 citations · 22 across the 3 of their papers we have counts for

collaborators

6 papers

cs.IR202018 cited

U-rank: Utility-oriented Learning to Rank with Implicit Feedback

Xinyi Dai, Jiawei Hou, Qing Liu +6

Learning to rank with implicit feedback is one of the most important tasks in many real-world information systems where the objective is some specific utility, e.g., clicks and rev…

cs.RO2020

Self-supervised Point Set Local Descriptors for Point Cloud Registration

Yijun Yuan, Jiawei Hou, Andreas Nüchter +1

In this work, we propose to learn local descriptors for point clouds in a self-supervised manner. In each iteration of the training, the input of the network is merely one unlabele…

cs.RO20191 cited

Fast 2D Map Matching Based on Area Graphs

Jiawei Hou, Haofei Kuang, Sören Schwertfeger

We present a novel area matching algorithm for merging two different 2D grid maps. There are many approaches to address this problem, nevertheless, most previous work is built on s…

cs.RO2019

Furniture Free Mapping using 3D Lidars

Zhenpeng He, Jiawei Hou, Sören Schwertfeger

Mobile robots depend on maps for localization, planning, and other applications. In indoor scenarios, there is often lots of clutter present, such as chairs, tables, other furnitur…

cs.RO20193 cited

Area Graph: Generation of Topological Maps using the Voronoi Diagram

Jiawei Hou, Yijun Yuan, Sören Schwertfeger

Representing a scanned map of the real environment as a topological structure is an important research topic in robotics. Since topological representations of maps save a huge amou…

cs.RO2018

Topological Area Graph Generation and its Application to Path Planning

Jiawei Hou, Yijun Yuan, Sören Schwertfeger

Representing a scanned map of the real environment as a topological structure is an important research in robotics. %is currently an important research. Since topological represent…