166 citations · 180 across the 6 of their papers we have counts for
6 papers
Quantum algorithm for structure learning of Markov Random Fields
Liming Zhao, Siyi Yang, Patrick Rebentrost
Markov random fields (MRFs) appear in many problems in machine learning and statistics. From a computational learning theory point of view, a natural problem of learning MRFs arise…
Weakly Supervised Learning with Side Information for Noisy Labeled Images
Lele Cheng, Xiangzeng Zhou, Liming Zhao +5
In many real-world datasets, like WebVision, the performance of DNN based classifier is often limited by the noisy labeled data. To tackle this problem, some image related side inf…
Compiling basic linear algebra subroutines for quantum computers
Liming Zhao, Zhikuan Zhao, Patrick Rebentrost +1
Efficiently processing basic linear algebra subroutines is of great importance for a wide range of computational problems. In this paper, we consider techniques to implement matrix…
Variational Quantum Circuit Model for Knowledge Graphs Embedding
Yunpu Ma, Volker Tresp, Liming Zhao +1
In this work, we propose the first quantum Ansätze for the statistical relational learning on knowledge graphs using parametric quantum circuits. We introduce two types of variatio…
Measurement-driven quantum computing: Performance of a 3-SAT solver
Simon C. Benjamin, Liming Zhao, Joseph F. Fitzsimons
We investigate the performance of a quantum algorithm for solving classical 3-SAT problems. A cycle of post-selected measurements drives the computer's register monotonically towar…
Deeply-Learned Part-Aligned Representations for Person Re-Identification
Liming Zhao, Xi Li, Jingdong Wang +1
In this paper, we address the problem of person re-identification, which refers to associating the persons captured from different cameras. We propose a simple yet effective human…