A5009277091- Adsorption and biosorption for pollutant removal
- Nanomaterials for catalytic reactions
- Natural Language Processing Techniques
- Topic Modeling
- Flame retardant materials and properties
- Graphene and Nanomaterials Applications
- Adversarial Robustness in Machine Learning
- Supercapacitor Materials and Fabrication
- Electrocatalysts for Energy Conversion
- Multimodal Machine Learning Applications
- Magnesium Oxide Properties and Applications
- Conducting polymers and applications
- X-ray Diffraction in Crystallography
- Advanced battery technologies research
- Dye analysis and toxicity
- Advanced Photocatalysis Techniques
- Gold and Silver Nanoparticles Synthesis and Applications
- Climate Change and Health Impacts
- Air Quality and Health Impacts
- Autophagy in Disease and Therapy
- Covalent Organic Framework Applications
- Graphene research and applications
- Crystallization and Solubility Studies
- Radioactive contamination and transfer
- Text Readability and Simplification
Air Force Medical University
2018-2025
Xijing Hospital
2021-2025
Qingdao University
2016-2025
Central South University
2023-2025
Beike Biotechnology (China)
2025
Digital Research Alliance of Canada
2024
Xidian University
2024
China Waterborne Transport Research Institute
2022-2023
McGill University
2022-2023
Hebei University of Science and Technology
2023
Automatic generation of paraphrases from a given sentence is an important yet challenging task in natural language processing (NLP). In this paper, we present deep reinforcement learning approach to paraphrase generation. Specifically, propose new framework for the task, which consists generator and evaluator, both are learned data. The generator, built as sequence-to-sequence model, can produce sentence. constructed matching judge whether two sentences each other. first trained by then...
We present the first sentence simplification model that learns explicit edit operations (ADD, DELETE, and KEEP) via a neural programmer-interpreter approach. Most current systems are variants of sequence-to-sequence models adopted from machine translation. These methods learn to simplify sentences as byproduct fact they trained on complex-simple pairs. By contrast, our is directly predict targeted parts input sentence, resembling way humans perform revision. Our outperforms previous...
Advanced supercapacitor electrodes require the development of materials with dense redox sites embedded into conductive and porous skeletons. Two-dimensional (2D) conjugated metal–organic frameworks (c-MOFs) are attractive electrode due to their high intrinsic electrical conductivities, large specific surface areas, quasi-one-dimensional aligned pore arrays. However, reported 2D c-MOFs still suffer from unsatisfying capacitances narrow potential windows because redox-inactive building blocks...
Paraphrasing exists at different granularity levels, such as lexical level, phrasal level and sentential level. This paper presents Decomposable Neural Paraphrase Generator (DNPG), a Transformer-based model that can learn generate paraphrases of sentence levels in disentangled way. Specifically, the is composed multiple encoders decoders with structures, each which corresponds to specific granularity. The empirical study shows decomposition mechanism DNPG makes paraphrase generation more...
This paper introduces a sophisticated deep learning model designed to predict high-risk behaviors in financial traders by analyzing vast amounts of transaction data. The begins with an unsupervised pre-training phase, distributed representations that capture complex data relationships autonomously. It then utilizes neural network, enhanced through supervised learning, classify and traders' risk levels effectively. We specifically focus on spread trading related Contracts For Difference...
ABSTRACT Angelica keiskei has been well documented as a promising resource rich in bioactive chemicals, especially flavonoids. Field‐assisted extraction and their hybrids have proved to be advanced approaches for the efficient utilization of flavonoids compared conventional methods. The current study aims optimize conditions from A. through high‐pressure processing, ultrasound‐assisted extraction, microwave‐assisted extraction. Furthermore, taking total flavonoid content, phenolic...