activity
20172022
most citedSolve Traveling Salesman Problem by Monte Carlo Tree Search and Deep Neural Network

12 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation

Sicong Zang, Shikui Tu, Lei Xu

Graphic sketch representations are effective for representing sketches. Existing methods take the patches cropped from sketches as the graph nodes, and construct the edges based on…

cs.CV20221 cited

IA-FaceS: A Bidirectional Method for Semantic Face Editing

Wenjing Huang, Shikui Tu, Lei Xu

Semantic face editing has achieved substantial progress in recent years. Known as a growingly popular method, latent space manipulation performs face editing by changing the latent…

cs.CV20211 cited

Deep Rival Penalized Competitive Learning for Low-resolution Face Recognition

Peiying Li, Shikui Tu, Lei Xu

Current face recognition tasks are usually carried out on high-quality face images, but in reality, most face images are captured under unconstrained or poor conditions, e.g., by v…

cs.LG202012 cited

Solve Traveling Salesman Problem by Monte Carlo Tree Search and Deep Neural Network

Zhihao Xing, Shikui Tu, Lei Xu

We present a self-learning approach that combines deep reinforcement learning and Monte Carlo tree search to solve the traveling salesman problem. The proposed approach has two adv…

stat.ME2017

A Comparative Study of Joint-SNVs Analysis Methods and Detection of Susceptibility Genes for Gastric Cancer in Korean Population

Jin-Xiong Lv, Shikui Tu, Lei Xu

Many joint-SNVs (single-nucleotide variants) analysis methods were proposed to tackle the "missing heritability" problem, which emphasizes that the joint genetic variants can expla…