activity
20152020
most citedTree Tensor Networks for Generative Modeling

126 citations · 142 across the 3 of their papers we have counts for

collaborators

11 papers

cs.CV2020

Supervised Learning with Projected Entangled Pair States

Song Cheng, Lei Wang, Pan Zhang

Tensor networks, a model that originated from quantum physics, has been gradually generalized as efficient models in machine learning in recent years. However, in order to achieve…

cs.SI202015 cited

Enhancing Rumor Detection in Social Media Using Dynamic Propagation Structures

Shuai Wang, Qingchao Kong, Yuqi Wang +1

Social media, such as Facebook and Twitter, has become one of the most important channels for information dissemination. However, these social media platforms are often misused to…

cond-mat.str-el2020

Automatic differentiation of dominant eigensolver and its applications in quantum physics

Hao Xie, Jin-Guo Liu, Lei Wang

We investigate the automatic differentiation of dominant eigensolver where only a small proportion of eigenvalues and corresponding eigenvectors are obtained. Backpropagation throu…

cond-mat.str-el2019

Tensor network representations of parton wave functions

Ying-Hai Wu, Lei Wang, Hong-Hao Tu

Tensor network states and parton wave functions are two pivotal methods for studying quantum many-body systems. This work connects these two subjects as we demonstrate that a varie…

cond-mat.stat-mech2019

Neural Canonical Transformation with Symplectic Flows

Shuo-Hui Li, Chen-Xiao Dong, Linfeng Zhang +1

Canonical transformation plays a fundamental role in simplifying and solving classical Hamiltonian systems. We construct flexible and powerful canonical transformations as generati…

cond-mat.str-el2019

Differentiable Programming Tensor Networks

Hai-Jun Liao, Jin-Guo Liu, Lei Wang +1

Differentiable programming is a fresh programming paradigm which composes parameterized algorithmic components and trains them using automatic differentiation (AD). The concept eme…