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.
1 code implementation • 25 Nov 2022 • Zhen Wang, Zheng Feng, Yanjun Li, Bowen Li, Yongrui Wang, Chulin Sha, Min He, Xiaolin Li
Although substantial efforts have been made using graph neural networks (GNNs) for AI-driven drug discovery (AIDD), effective molecular representation learning remains an open challenge, especially in the case of insufficient labeled molecules.
1 code implementation • 1 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.
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 $y_i=x_i \circledast f$ ($i=1, 2,\dots, N$).
no code implementations • 30 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.
no code implementations • 15 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.
no code implementations • 13 Feb 2016 • Yanjun Li, Yoram Bresler
This paper addresses the joint dimensionality reduction of two feature vectors in supervised learning problems.
no code implementations • 24 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.
no code implementations • 3 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.
no code implementations • 3 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.
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 $y_i=x_i \circledast f$ ($i=1, 2,\dots, N$).
no code implementations • 8 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.
no code implementations • 29 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.
no code implementations • 27 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.
no code implementations • 13 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.
no code implementations • 16 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.
no code implementations • 14 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.
no code implementations • 27 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
no code implementations • 22 Jun 2021 • Yanjun Li, Yanjing Wang
Various planning-based know-how logics have been studied in the recent literature.
no code implementations • 15 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.
no code implementations • 11 Jul 2023 • Yanjun Li
The logic of goal-directed knowing-how extends the standard epistemic logic with an operator of knowing-how.
no code implementations • 27 Jul 2023 • Yuanfang Ren, Yanjun Li, Tyler J. Loftus, Jeremy Balch, Kenneth L. Abbott, Shounak Datta, Matthew M. Ruppert, Ziyuan Guan, Benjamin Shickel, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac
With clustering analysis for vital signs within six hours of admission, patient phenotypes with distinct pathophysiological signatures and outcomes may support early clinical decisions.
no code implementations • 13 Dec 2023 • Qiaosi Tang, Ranjala Ratnayake, Gustavo Seabra, Zhe Jiang, Ruogu Fang, Lina Cui, Yousong Ding, Tamer Kahveci, Jiang Bian, Chenglong Li, Hendrik Luesch, Yanjun Li
Additionally, we illuminate the application of morphological profiling in phenotypic drug discovery and highlight potential challenges and opportunities in this field.