A5100723440- Advanced biosensing and bioanalysis techniques
- Natural Language Processing Techniques
- Topic Modeling
- Multimodal Machine Learning Applications
- Gene expression and cancer classification
- DNA and Nucleic Acid Chemistry
- DNA and Biological Computing
- Modular Robots and Swarm Intelligence
- RNA and protein synthesis mechanisms
- Chaos-based Image/Signal Encryption
- Machine Learning in Bioinformatics
- Nanopore and Nanochannel Transport Studies
- Advanced Steganography and Watermarking Techniques
- SARS-CoV-2 detection and testing
- Digital Media Forensic Detection
- Microwave Engineering and Waveguides
- Galectins and Cancer Biology
- Infectious Aortic and Vascular Conditions
- Extracellular vesicles in disease
- Advanced Malware Detection Techniques
- Image Retrieval and Classification Techniques
- Energy, Environment, Economic Growth
- Quantum-Dot Cellular Automata
- Signaling Pathways in Disease
- Hydrogels: synthesis, properties, applications
University of Washington
2020-2025
National Chung Cheng University
2007-2024
Seattle University
2022-2023
Anhui Institute of Optics and Fine Mechanics
2023
Chinese Academy of Sciences
2023
University of Science and Technology of China
2023
Microsoft (United States)
2023
University of Electronic Science and Technology of China
2022
University of Virginia
2020
University of Illinois Urbana-Champaign
2019
As a new neural machine translation approach, NonAutoregressive Translation (NAT) has attracted attention recently due to its high efficiency in inference. However, the come at cost of not capturing sequential dependency on target side translation, which causes NAT suffer from two kinds errors: 1) repeated translations (due indistinguishable adjacent decoder hidden states), and 2) incomplete transfer source information via states). In this paper, we propose address these problems by...
Lijun Wu, Yiren Wang, Yingce Xia, Tao Qin, Jianhuang Lai, Tie-Yan Liu. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint (EMNLP-IJCNLP). 2019.
Regulatory T cells overexpressing SPARC (secreted protein acidic and cysteine rich) (Sparchigh Tregs) can help repair infarct tissues after acute myocardial infarction (AMI). This research demonstrates that Sparchigh Treg-derived extracellular vesicles (EVs) effectively improved cardiac function through proinflammatory factors IL-1β, IL-6, TNF-α inhibition collagen synthesis related gene Col3a1 promotion in AMI; moreover, a composite hydrogel-EVs system (DHPM(4APPC)_EVs) is designed based on...
While Neural Machine Translation (NMT) represents the leading approach to (MT), outputs of NMT models still require translation post-editing rectify errors and enhance quality under critical settings. In this work, we formalize task direct with Large Language Models (LLMs) explore use GPT-4 automatically post-edit across several language pairs. Our results demonstrate that is adept at post-editing, producing meaningful trustworthy edits translations help improve its general as well remove...
We propose an effective data hiding method based on the EMD embedding scheme proposed by Zhang et al. in order to enhance capacity. The main idea of our is convert secret binary messages into a sequence digits 8-ary notational system. Each digit embedded two cover pixels modifying least significant bits (LSBs). As experimental results show, bit-rate 1.5 times better than scheme. In word, we high-quality and high-capacity that can ensure stego-image quality security.
The global COVID-19 pandemic has highlighted the need for rapid, reliable, and efficient detection of biological agents necessity tracking changes in genetic material as new SARS-CoV-2 variants emerge. Here, we demonstrate that RNA-based, single-molecule conductance experiments can be used to identify specific SARS-CoV-2. To this end, (i) select target sequences interest variants, (ii) utilize break junction measurements obtain histograms each sequence its potential mutations, (iii) employ...
Yingce Xia, Xu Tan, Fei Tian, Gao, Di He, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, Tie-Yan Liu. Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1). 2019.
The global COVID-19 pandemic has highlighted the need for rapid, reliable, and efficient detection of biological agents necessity tracking changes in genetic material as new SARS-CoV-2 variants emerge. Here we demonstrate that RNA-based, single-molecule conductance experiments can be used to identify specific SARS-CoV-2. To this end, i) select target sequences interest variants, ii) utilize break junction measurements obtain histograms each sequence its potential mutations, iii) employ...
This paper presents a lossless steganography method based on the multiple-base notation approach for JPEG images. Embedding large amount of secret data in JPEG-compressed image is challenge since modifying quantized DCT coefficients may cause serious distortion. We propose two main strategies to deal with this problem: (1) we embed values middle-frequency coefficients, and (2) limit number nonzero that participate embedding process. also investigated effect standard quantization table. The...
Hydrogels allow control of gel composition and mechanics, permit incorporation cells a wide variety molecules from nanoparticles to micromolecules. Peptide-linked hydrogels should tune the basic polymer into more bioactive template influence cellular activities. In this study, we first introduced generation 2D poly-(sulfobetaine methacrylate [SBMA]) hydrogel surfaces. By incorporating with functional peptide RGD vascular endothelial growth factor-mimicking KLTWQELYQLKYKG (QK) peptides,...
DNA naturally exists in a solvent environment, comprising water and salt molecules such as sodium, potassium, magnesium, etc. Along with the sequence, conditions become vital factor determining structure thus its conductance. Over last two decades, researchers have measured conductivity both hydrated almost dry (dehydrated) conditions. However, due to experimental limitations (the precise control of environment), it is very difficult analyze conductance results terms individual contributions...
Abstract Background The all-electronic Single Molecule Break Junction (SMBJ) method is an emerging alternative to traditional polymerase chain reaction (PCR) techniques for genetic sequencing and identification. Existing work indicates that the current spectra recorded from SMBJ experimentations contain unique signatures identify known sequences a dataset. However, are typically extremely noisy due stochastic complex interactions between substrate, sample, environment, measuring system,...
Automatic image annotation and tagging is necessary for indexing searching of images using querying a text. It widely used in search engines like Google, Yahoo, Baidu, etc. Fast Image Tagging (FastTag) algorithm proposed to accelerate process, while keeping the precision automatic results. Feature mapping map features vectors onto higher dimensional feature space. methods plays an important role annotation. In this paper, we have compared 6 kernels, among which four kernels are homogeneous...
This paper considers a linear panel model with interactive fixed effects and unobserved individual time heterogeneities that are captured by some latent group structures an unknown structural break, respectively. To enhance realism the may have different numbers of groups and/or memberships before after break. With preliminary nuclear-norm-regularized estimation followed row- column-wise regressions, we estimate break point based on idea binary segmentation together number sequential testing...
In this paper, we present a novel and compact proximity fed V-band electromagnetic bandgap (EBG) patch antenna. The EBG structure serves to mitigate surface waves which can degrade the antennas performance. proposed antenna is designed fabricated on multi-layer near hermetic Liquid Crystal Polymer (LCP) substrate. It shown through simulation that up 4.57 dB of gain enhancement achieved use an surround achieves measured bandwidth 10 GHz, corresponds fractional 16.6%, occupies total area only...
Histone modifications are major factors that define chromatin states and have functions in regulating gene expression eukaryotic cells. Chromatin immunoprecipitation coupled with high-throughput sequencing (ChIP-seq) technique has been widely used for profiling the genome-wide distribution of chromatin-associating protein factors. Some histone modifications, such as H3K27me3 H3K9me3, usually mark broad domains genome ranging from kilobases (kb) to megabases (Mb) long, resulting diffuse...
Genetic sequence identification from electrical characterization of single molecules has emerged as a promising alternative to traditional approaches. Since data on is extremely noisy due the limitations even state-of-the-art approaches, achieving high detection rates challenging, particularly when task involves being able distinguish its base-pair mismatches. To address this issue, we propose an architecture based combining convolutional neural network with ensemble learning method,...
Deoxyribonucleic acid (DNA) has emerged as a promising building block for next-generation ultra-high density storage devices. Although DNA high durability and extremely in nature, its potential the basis of devices is currently hindered by limitations such expensive complex fabrication processes time-consuming read-write operations. In this article, we propose use crossbar array architecture an electrically readable read-only memory (DNA-ROM). While information can be 'written' error-free to...
Polymerase chain reaction (PCR) has long been the mainstay in genetic sequencing and identification. Irrespective of whether short read or technologies are adopted, PCR methods generally time consuming expensive. Recently, an all-electronic approach, so-called Single Molecule Break Junction (SMBJ) method, proposed as a possible alternative to PCR. In this article, we evaluate performance four different classifier models on current signatures ten strand sequences, including pair that differs...
As a new neural machine translation approach, Non-Autoregressive Translation (NAT) has attracted attention recently due to its high efficiency in inference. However, the come at cost of not capturing sequential dependency on target side translation, which causes NAT suffer from two kinds errors: 1) repeated translations (due indistinguishable adjacent decoder hidden states), and 2) incomplete transfer source information via states). In this paper, we propose address these problems by...