48 citations · 112 across the 14 of their papers we have counts for
14 papers
A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale Travelling Salesman Problem
Zhang-Hua Fu, Sipeng Sun, Jintong Ren +6
For prohibitively large-scale Travelling Salesman Problems (TSPs), existing algorithms face big challenges in terms of both computational efficiency and solution quality. To addres…
Multi-initialization Optimization Network for Accurate 3D Human Pose and Shape Estimation
Zhiwei Liu, Xiangyu Zhu, Lu Yang +7
3D human pose and shape recovery from a monocular RGB image is a challenging task. Existing learning based methods highly depend on weak supervision signals, e.g. 2D and 3D joint l…
Strategyproof Facility Location Mechanisms with Richer Action Spaces
Xiang Yan, Yiling Chen
We study facility location problems where agents control multiple locations and when reporting their locations can choose to hide some locations (hiding), report some locations mor…
Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation
Xilei Zhao, Zhengze Zhou, Xiang Yan +1
Machine learning has proved to be very successful for making predictions in travel behavior modeling. However, most machine-learning models have complex model structures and offer…
Finding Mixed Strategy Nash Equilibrium for Continuous Games through Deep Learning
Zehao Dou, Xiang Yan, Dongge Wang +1
Nash equilibrium has long been a desired solution concept in multi-player games, especially for those on continuous strategy spaces, which have attracted a rapidly growing amount o…
A Polynomial Time Algorithm for Fair Resource Allocation in Resource Exchange
Xiang Yan, Wei Zhu
The rapid growth of wireless and mobile Internet has led to wide applications of exchanging resources over network, in which how to fairly allocate resources has become a critical…