A5102649747- Speech and dialogue systems
- Adenosine and Purinergic Signaling
- Natural Language Processing Techniques
- Topic Modeling
- Ferroptosis and cancer prognosis
- Rough Sets and Fuzzy Logic
- Calcium Carbonate Crystallization and Inhibition
- Algal biology and biofuel production
- Neuroinflammation and Neurodegeneration Mechanisms
- Cholesterol and Lipid Metabolism
- Polymer composites and self-healing
- Semantic Web and Ontologies
- Flame retardant materials and properties
- Antioxidant Activity and Oxidative Stress
- Computational Drug Discovery Methods
- Seaweed-derived Bioactive Compounds
- Logic, Reasoning, and Knowledge
- Image and Signal Denoising Methods
- Cancer, Lipids, and Metabolism
- Electromagnetic wave absorption materials
Tsinghua University
2023-2025
Beijing University of Chemical Technology
2025
Shanghai Ocean University
2023-2024
First Affiliated Hospital of Jinan University
2023
Viasat (United States)
2023
Parkinson's disease (PD) is a neurodegenerative disorder characterized by the gradual loss of midbrain dopaminergic neurons in association with aggregation α-synuclein. Oxidative damage has been widely implicated this disease, though mechanisms involved remain elusive. Here, we demonstrated that preferential accumulation peroxidized phospholipids and antioxidant enzyme glutathione peroxidase 4 (GPX4) were responsible for vulnerability progressive motor dysfunctions mouse model PD. We also...
Abstract The exploitation of wearable electronic devices with diversified environmentally adaptivity, advanced additive manufacturing, efficient microwaves absorption, and self‐powered sensing represents a pivotal strategic in promoting Artificial‐Intelligence personal electromagnetic safety. However, achieving robust multifunctional integration single flexible device is still an unprecedented challenge. Herein, the multidimensional multiphase nanofiller hierarchical structures tailored...
β-carotene is known to have pharmacological effects such as anti-inflammatory, antioxidant, and anti-tumor properties. However, its main mechanism related signaling pathways in the treatment of inflammation are still unclear. In this study, component target prediction was performed by using literature retrieval SwissTargetPrediction database. Disease targets were collected from various databases, including DisGeNET, OMIM, Drug Bank, GeneCards. A protein-protein interaction (PPI) network...
Query rewriting is a crucial technique for passage retrieval in open-domain conversational question answering (CQA). It decontexualizes queries into self-contained questions suitable off-the-shelf retrievers. Existing methods attempt to incorporate retriever's preference during the training of models. However, these approaches typically rely on extensive annotations such as in-domain rewrites and/or relevant labels, limiting models' generalization and adaptation capabilities. In this paper,...
This paper introduces Standard Basis LoRA (SBoRA), a novel parameter-efficient fine-tuning approach for Large Language Models that builds upon the pioneering works of Low-Rank Adaptation (LoRA) and Orthogonal Adaptation. SBoRA further reduces computational memory requirements while enhancing learning performance. By leveraging orthogonal standard basis vectors to initialize one low-rank matrices, either A or B, enables regional weight updates memory-efficient fine-tuning. gives rise two...
Knowledge Graphs (KGs) can serve as reliable knowledge sources for question answering (QA) due to their structured representation of knowledge. Existing research on the utilization KG large language models (LLMs) prevalently relies subgraph retriever or iterative prompting, overlooking potential synergy LLMs' step-wise reasoning capabilities and KGs' structural nature. In this paper, we present DoG (Decoding Graphs), a novel framework that facilitates deep between LLMs KGs. We first define...