Search Results for author: Pengfei Zhou

Found 9 papers, 5 papers with code

Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food Detection

1 code implementation14 Feb 2024 Pengfei Zhou, Weiqing Min, Jiajun Song, Yang Zhang, Shuqiang Jiang

The complexity of food semantic attributes further makes it more difficult for current ZSD methods to distinguish various food categories.

Attribute Nutrition

CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning

no code implementations25 Jan 2024 Zheqi He, Xinya Wu, Pengfei Zhou, Richeng Xuan, Guang Liu, Xi Yang, Qiannan Zhu, Hua Huang

Current multi-modal benchmarks for domain-specific knowledge concentrate on multiple-choice questions and are predominantly available in English, which imposes limitations on the comprehensiveness of the evaluation.

Multiple-choice Position

ISDA: Position-Aware Instance Segmentation with Deformable Attention

1 code implementation23 Feb 2022 Kaining Ying, Zhenhua Wang, Cong Bai, Pengfei Zhou

Most instance segmentation models are not end-to-end trainable due to either the incorporation of proposal estimation (RPN) as a pre-processing or non-maximum suppression (NMS) as a post-processing.

Instance Segmentation Position +2

Boltzmann machines as two-dimensional tensor networks

no code implementations10 May 2021 Sujie Li, Feng Pan, Pengfei Zhou, Pan Zhang

Using numerical experiments, we demonstrate that the proposed algorithm is much more accurate than the state-of-the-art machine learning methods in estimating the partition function of restricted Boltzmann machines and deep Boltzmann machines, and have potential applications in training deep Boltzmann machines for general machine learning tasks.

BIG-bench Machine Learning Tensor Networks +1

Dynamic Virtual Graph Significance Networks for Predicting Influenza

1 code implementation16 Feb 2021 Jie Zhang, Pengfei Zhou, Hongyan Wu

In this study, we develop a novel method, Dynamic Virtual Graph Significance Networks (DVGSN), which can supervisedly and dynamically learn from similar "infection situations" in historical timepoints.

Representation Learning Time Series +1

Contracting Arbitrary Tensor Networks: general approximate algorithm and applications in graphical models and quantum circuit simulations

1 code implementation6 Dec 2019 Feng Pan, Pengfei Zhou, Sujie Li, Pan Zhang

We present a general method for approximately contracting tensor networks with an arbitrary connectivity.

Computational Physics Statistical Mechanics Strongly Correlated Electrons Quantum Physics

Phase transitions and optimal algorithms for semi-supervised classifications on graphs: from belief propagation to graph convolution network

no code implementations1 Nov 2019 Pengfei Zhou, Tianyi Li, Pan Zhang

For the first time, well-controlled benchmark datasets with asymptotially exact properties and optimal solutions could be produced for the evaluation of graph convolution neural networks, and for the theoretical understanding of their strengths and weaknesses.

Bayesian Inference Clustering +2

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