Rui Wu

ORCID: 0000-0003-0941-2688
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About
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Research Areas
  • RNA modifications and cancer
  • Advanced Image and Video Retrieval Techniques
  • Cancer-related gene regulation
  • Image Retrieval and Classification Techniques
  • Histone Deacetylase Inhibitors Research
  • Chaos-based Image/Signal Encryption
  • Remote Sensing and Land Use
  • Cholangiocarcinoma and Gallbladder Cancer Studies
  • Face and Expression Recognition
  • Data Mining Algorithms and Applications
  • Data Management and Algorithms
  • Rough Sets and Fuzzy Logic
  • Radiopharmaceutical Chemistry and Applications
  • Multimodal Machine Learning Applications
  • Advanced Algorithms and Applications
  • Advanced Bandit Algorithms Research
  • Neural Networks and Applications
  • Advanced Steganography and Watermarking Techniques
  • Human Pose and Action Recognition
  • Domain Adaptation and Few-Shot Learning
  • HER2/EGFR in Cancer Research
  • Monoclonal and Polyclonal Antibodies Research
  • Protein Degradation and Inhibitors
  • Advanced Computational Techniques and Applications
  • Reinforcement Learning in Robotics

Harbin Institute of Technology
2015-2025

Nanchang University
2025

Beijing University of Technology
2025

First Affiliated Hospital of Jiangxi Medical College
2025

Chengdu University of Traditional Chinese Medicine
2023-2024

Jilin University
2023-2024

Second Xiangya Hospital of Central South University
2024

Central South University
2008-2024

First Hospital of Jilin University
2023-2024

Yan'an University
2024

An asynchronous updating Boolean network is employed to simulate and analyze the gene expression of a particular tissue or species, revealing life activity process from system perspective reveal disease mechanism treat disease. Therefore, ensure safe transmission in network, we designed an encryption algorithm based on chaos (ABNEA). First, novel 2D chaotic (2D-FPSM) designed. This has better performance than classical system. It very suitable for cryptographic systems generate key streams....

10.1109/tcsvt.2023.3237136 article EN IEEE Transactions on Circuits and Systems for Video Technology 2023-01-16

Chaos systems find extensive applications in cryptography and pseudorandom number generation due to their ability generate pseudo-random signals. This paper focuses on enhancing the complexity of chaotic by introducing memristor, a nonlinear component. We propose novel map called 2D memristive Cubic (2D-MCM), which integrates memristor with create discrete mapping. The 2D-MCM exhibits rich dynamical behavior broad parameter space. Notably, displays boosting bifurcation behavior. As control...

10.1109/jiot.2024.3376572 article EN IEEE Internet of Things Journal 2024-03-12

Reinforcement learning methods for recommender systems optimize recommendations long-term user engagement. However, since users are often presented with slates of multiple items---which may have interacting effects on choice---methods required to deal the combinatorics RL action space. We develop SlateQ, a decomposition value-based temporal-difference and Q-learning that renders tractable slates. Under mild assumptions choice behavior, we show value (LTV) slate can be decomposed into...

10.24963/ijcai.2019/360 article EN 2019-07-28

Acute lung injury (ALI) is a disease characterized by inflammation and still requires further drug development. Forsythiaside A as the active compound of Forsythiae Fructus has therapeutic potential for ALI.

10.1016/j.jare.2023.08.006 article EN cc-by-nc-nd Journal of Advanced Research 2023-08-12

Nowadays, driven by the increasing concern on diet and health, food computing has attracted enormous attention from both industry research community. One of most popular topics in this domain is Food Retrieval, due to its profound influence health-oriented applications. In paper, we focus task cross-modal retrieval between images cooking recipes. We present Modality-Consistent Embedding Network (MCEN) that learns modality-invariant representations projecting texts same embedding space. To...

10.1109/cvpr42600.2020.01458 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020-06-01

Abstract The rapid and accurate taxonomic identification of fossils is great significance in paleontology, biostratigraphy, other fields. However, often labor-intensive tedious, the requisition extensive prior knowledge about a group also requires long-term training. Moreover, results are inconsistent across researchers communities. Accordingly, this study, we used deep learning to support identification. We web crawlers collect Fossil Image Dataset (FID) via Internet, obtaining 415,339...

10.1017/pab.2022.14 article EN Paleobiology 2022-06-17

We propose RecSim, a configurable platform for authoring simulation environments recommender systems (RSs) that naturally supports sequential interaction with users. RecSim allows the creation of new reflect particular aspects user behavior and item structure at level abstraction well-suited to pushing limits current reinforcement learning (RL) RS techniques in interactive recommendation problems. Environments can be easily configured vary assumptions about: preferences familiarity; latent...

10.48550/arxiv.1909.04847 preprint EN cc-by-nc-sa arXiv (Cornell University) 2019-01-01

Preimplantation genetic testing for monogenic diseases (PGT-M) can be used to select embryos that do not develop disease phenotypes or carry disease-causing genes implantation into the mother's uterus, block transmission offspring, and increase birth rate of healthy newborns. However, traditional PGT-M technique has some limitations, such as its time consumption, experimental procedural complexity, need a complete family reference embryo construct haplotype. In this study,...

10.3389/fmolb.2024.1329580 article EN cc-by Frontiers in Molecular Biosciences 2024-03-07

Objective To assess the overall trends in development and citation impact of high-impact papers nursing research worldwide to gain insight into focus areas research. Background Bibliometric method is proved be effective analysing papers' characteristics, it gained considerable interest from scientific community recent years. An analysis characteristics intrinsic patterns will provide an objective reflection hot spots. Nursing managers can pointedly increase funding amount strengthen...

10.1111/jonm.13038 article EN Journal of Nursing Management 2020-05-27

Porcine reproductive and respiratory syndrome virus (PRRSV) poses a severe threat to the health of pigs globally. Host factors play critical role in PRRSV replication. Using as model for genome-scale CRISPR knockout (KO) screening, we identified host factor infection: sphingomyelin phosphodiesterase acid-like 3B (SMPDL3B). Our findings show that SMPDL3B restricted attachment, entry, replication, secretion its depletion significantly inhibited proliferation, indicating plays positive data...

10.1016/j.isci.2023.107450 article EN cc-by-nc-nd iScience 2023-07-22

Colorectal cancer (CRC) is a prevalent malignancy of the digestive tract with second highest mortality rate globally. Piper nigrum widely used traditional medicinal plant, exhibiting antitumor activity against various tumor cells. At present, research on effect CRC limited to in vitro cytotoxicity, lacking comprehensive mechanism investigations. This study aimed explore inhibitory and extract (PNE) HT-29 Firstly, we identified chemical components PNE. Then, MTT assay, colony formation JC-1...

10.3390/ph16091325 article EN cc-by Pharmaceuticals 2023-09-19

To provide robust security measures for audio data during transmission, this article has developed a novel dual-channel encryption scheme based on chaos theory. Specifically, new 2-D chaotic system called infinite collapse with logistic map (2-D-ICLM) is designed in article. Compared to traditional systems, the 2-D-ICLM exhibits larger parameter space, complexity, and richness, along high unpredictability randomness. These characteristics potential advantages applications field of...

10.1109/jiot.2023.3325223 article EN IEEE Internet of Things Journal 2023-11-02
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