Search Results for author: Yanjun Li

Found 20 papers, 2 papers with code

Analysis and visualization of spatial transcriptomic data

no code implementations15 Oct 2021 Boxiang Liu, Yanjun Li, Liang Zhang

Human and animal tissues consist of heterogeneous cell types that organize and interact in highly structured manners.

Knowing How to Plan

no code implementations22 Jun 2021 Yanjun Li, Yanjing Wang

Various planning-based know-how logics have been studied in the recent literature.

Constructing new APN functions through relative trace functions

no code implementations27 Jan 2021 Lijing Zheng, Haibin Kan, Yanjun Li, Jie Peng, Deng Tang

With the help of this characterization, we obtain an infinite family of APN functions for $ n=2m $ with $m$ being an odd positive integer: $ f(x)=a{\rm Tr}^{n}_{m}(bx^3)+a^q{\rm Tr}^{n}_{m}(b^3x^9) $, where $ a\in \mathbb{F}_{2^n}$ such that $ a+a^q\neq 0 $ and $ b $ is a non-cube in $ \mathbb{F}_{2^n} $.

Information Theory Information Theory

Joint Dimensionality Reduction for Separable Embedding Estimation

no code implementations14 Jan 2021 Yanjun Li, Bihan Wen, Hao Cheng, Yoram Bresler

In this paper, we propose a supervised dimensionality reduction method that learns linear embeddings jointly for two feature vectors representing data of different modalities or data from distinct types of entities.

feature selection Information Retrieval +1

PRI-VAE: Principle-of-Relevant-Information Variational Autoencoders

no code implementations13 Jul 2020 Yanjun Li, Shujian Yu, Jose C. Principe, Xiaolin Li, Dapeng Wu

Although substantial efforts have been made to learn disentangled representations under the variational autoencoder (VAE) framework, the fundamental properties to the dynamics of learning of most VAE models still remain unknown and under-investigated.

Application of Deep Interpolation Network for Clustering of Physiologic Time Series

no code implementations27 Apr 2020 Yanjun Li, Yuanfang Ren, Tyler J. Loftus, Shounak Datta, M. Ruppert, Ziyuan Guan, Dapeng Wu, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac

M Interpretation: In a heterogeneous cohort of hospitalized patients, a deep interpolation network extracted representations from vital sign data measured within six hours of hospital admission.

Time Series

Leaderless Consensus of a Hierarchical Cyber-Physical System

no code implementations16 Apr 2020 Xiao Chen, Yanjun Li, Arman Goudarzi, Ji Xiang

This paper models a class of hierarchical cyber-physical systems and studies its associated consensus problem.

A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems

no code implementations29 Mar 2020 Bihan Wen, Yanjun Li, Yuqi Li, Yoram Bresler

Furthermore, we relate the denoising performance improvement by combining multiple models, to the image model relationships.

Denoising Image Restoration

DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction

1 code implementation1 Dec 2019 Yanjun Li, Mohammad A. Rezaei, Chenglong Li, Xiaolin Li, Dapeng Wu

The cornerstone of computational drug design is the calculation of binding affinity between two biological counterparts, especially a chemical compound, i. e., a ligand, and a protein.

Drug Discovery Feature Engineering

Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image

no code implementations8 Nov 2019 Chi Ding, Zheng Cao, Matthew S. Emigh, Jose C. Principe, Bing Ouyang, Anni Vuorenkoski, Fraser Dalgleish, Brian Ramos, Yanjun Li

To fully understand interactions between marine hydrokinetic (MHK) equipment and marine animals, a fast and effective monitoring system is required to capture relevant information whenever underwater animals appear.

Scene Understanding

FoldingZero: Protein Folding from Scratch in Hydrophobic-Polar Model

no code implementations3 Dec 2018 Yanjun Li, Hengtong Kang, Ketian Ye, Shuyu Yin, Xiaolin Li

In this paper, we propose a novel protein folding framework FoldingZero, self-folding a de novo protein 2D HP structure from scratch based on deep reinforcement learning.

Protein Folding Protein Structure Prediction +1

Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere

no code implementations NeurIPS 2018 Yanjun Li, Yoram Bresler

Multichannel blind deconvolution is the problem of recovering an unknown signal $f$ and multiple unknown channels $x_i$ from convolutional measurements $y_i=x_i \circledast f$ ($i=1, 2,\dots, N$).

The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling

no code implementations3 Aug 2018 Bihan Wen, Yanjun Li, Yoram Bresler

Recent works on adaptive sparse and on low-rank signal modeling have demonstrated their usefulness in various image / video processing applications.

Dictionary Learning Image Denoising +2

Multichannel Sparse Blind Deconvolution on the Sphere

no code implementations NeurIPS 2018 Yanjun Li, Yoram Bresler

Multichannel blind deconvolution is the problem of recovering an unknown signal $f$ and multiple unknown channels $x_i$ from their circular convolution $y_i=x_i \circledast f$ ($i=1, 2,\dots, N$).

Blind Gain and Phase Calibration via Sparse Spectral Methods

no code implementations30 Nov 2017 Yanjun Li, Kiryung Lee, Yoram Bresler

We also show that our power iteration algorithms for BGPC compare favorably with competing algorithms in adversarial conditions, e. g., with noisy measurement or with a bad initial estimate.

Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising

1 code implementation ICCV 2017 Bihan Wen, Yanjun Li, Luke Pfister, Yoram Bresler

In this work, we propose a novel video denoising method, based on an online tensor reconstruction scheme with a joint adaptive sparse and low-rank model, dubbed SALT.

Denoising online learning +1

Strategically knowing how

no code implementations15 May 2017 Raul Fervari, Andreas Herzig, Yanjun Li, Yanjing Wang

In this paper, we propose a single-agent logic of goal-directed knowing how extending the standard epistemic logic of knowing that with a new knowing how operator.

A Dynamic Epistemic Framework for Conformant Planning

no code implementations24 Jun 2016 Quan Yu, Yanjun Li, Yanjing Wang

In this paper, we introduce a lightweight dynamic epistemic logical framework for automated planning under initial uncertainty.

Joint Dimensionality Reduction for Two Feature Vectors

no code implementations13 Feb 2016 Yanjun Li, Yoram Bresler

This paper addresses the joint dimensionality reduction of two feature vectors in supervised learning problems.

Dimensionality Reduction General Classification

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