4 papers
Efficient Training of Multi-task Neural Solver for Combinatorial Optimization
Chenguang Wang, Zhang-Hua Fu, Pinyan Lu +1
Efficiently training a multi-task neural solver for various combinatorial optimization problems (COPs) has been less studied so far. Naive application of conventional multi-task le…
Learning to Decouple Complex Systems
Zihan Zhou, Tianshu Yu
A complex system with cluttered observations may be a coupled mixture of multiple simple sub-systems corresponding to latent entities. Such sub-systems may hold distinct dynamics i…
W2SAT: Learning to generate SAT instances from Weighted Literal Incidence Graphs
Weihuang Wen, Tianshu Yu
The Boolean Satisfiability (SAT) problem stands out as an attractive NP-complete problem in theoretic computer science and plays a central role in a broad spectrum of computing-rel…
Towards Imbalanced Motion: Part-Decoupling Network for Video Portrait Segmentation
Tianshu Yu, Changqun Xia, Jia Li
Video portrait segmentation (VPS), aiming at segmenting prominent foreground portraits from video frames, has received much attention in recent years. However, simplicity of existi…