A5100751720- Topic Modeling
- Advanced Graph Neural Networks
- Recommender Systems and Techniques
- Game Theory and Voting Systems
- Climate variability and models
- Auction Theory and Applications
- Immune cells in cancer
- Advanced battery technologies research
- Adipose Tissue and Metabolism
- Electrocatalysts for Energy Conversion
- Oceanographic and Atmospheric Processes
- Meteorological Phenomena and Simulations
- Text and Document Classification Technologies
- Cancer, Lipids, and Metabolism
- Game Theory and Applications
- Mental Health via Writing
- Arctic and Antarctic ice dynamics
- Human Motion and Animation
- Advanced Battery Technologies Research
- Cancer Immunotherapy and Biomarkers
- Speech and dialogue systems
- Experimental Behavioral Economics Studies
- Multimodal Machine Learning Applications
- Tropical and Extratropical Cyclones Research
- Perovskite Materials and Applications
Chinese Academy of Sciences
2018-2025
University of Chinese Academy of Sciences
2018-2025
Dalian National Laboratory for Clean Energy
2022-2025
Dalian Institute of Chemical Physics
2022-2025
National University of Defense Technology
2024
Institute of Atmospheric Physics
2021-2024
Xiangya Hospital Central South University
2024
Central South University
2024
Hohai University
2024
Ministry of Natural Resources
2024
Modeling user preference from his historical sequences is one of the core problems sequential recommendation. Existing methods in this field are widely distributed conventional to deep learning methods. However, most them only model users' interests within their own and ignore dynamic collaborative signals among different sequences, making it insufficient explore preferences. We take inspiration graph neural networks cope with challenge, modeling sequence into framework. propose a new method...
Multimedia contents are of predominance in the modern Web era. Recent years have witnessed growing research interests multimedia recommendation, which aims to predict whether a user will interact with an item multimodal contents. Most previous studies focus on modeling user-item interactions features included as side information. However, this scheme is not well-designed for recommendation. First, only <italic xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Temporal Knowledge graph (TKG) reasoning aims to predict missing facts based on historical TKG data. Most of the existing methods are incapable explicitly modeling long-term time dependencies from history and neglect adaptive integration long- short-term information. To tackle these problems, we propose a novel method that utilizes designed Hierarchical Relational Graph Neural Network learn Long- Short-term representations for reasoning, namely HGLS. Specifically, associate entities in...
Dynamic recommendation is essential for modern recommender systems to provide real-time predictions based on sequential data. In real-world scenarios, the popularity of items and interests users change over time. Based this assumption, many previous works focus interaction sequences learn evolutionary embeddings items. However, we argue that sequence-based models are not able capture collaborative information among directly. Here propose Graph Collaborative Filtering (DGCF), a novel...
Oral health is an issue that has attracted increasing attention recently. Poor oral hygiene may induce the formation of biofilm on orthodontic devices, and cause gingivitis dental caries. Here, we present a strategy for modifying devices (e.g., invisalign aligner) with quaternary ammonium (QA)-modified gold nanoclusters (QA-GNCs) as antibiotic reagent to prevent bacterial contamination formation. The QA-GNCs-coated aligner can efficiently inhibit adhesion cariogenic pathogenic Streptococcus...
Abstract Background Non-alcoholic fatty liver disease (NAFLD) has become a global epidemic disease. Its incidence is associated with type 2 diabetes mellitus (T2DM). Presently, there no approved pharmacological agents specially developed for NAFLD. One promising disease-modifying strategy the transplantation of stem cells to promote metabolic regulation and repair injury. Method In this study, T2DM model was established through 28-week high-fat diet (HFD) feeding resulting in T2DM-associated...
A kW-scale AOFB stack with a long and stable lifespan was achieved based on the air-stable MB catholyte for first time.
The problem of session-aware recommendation aims to predict users' next click based on their current session and historical sessions. Existing methods have defects in capturing complex item transition relationships. Other than that, most them fail explicitly distinguish the effects different sessions session. To this end, we propose a novel method, named Personalized Graph Neural Networks with Attention Mechanism (A-PGNN) for brevity. A-PGNN mainly consists two components: one is Network...
Abstract Aqueous organic flow batteries (AOFBs) represent one of the most promising technologies for stationary energy storage due to their features abundant resources and high tunability. Phenothiazines have stable conjugated structures are considered potential catholytes AOFBs. However, highly structure phenothiazines is always hydrophobic reduces molecular polarity, which makes it challenging achieve capacity efficiency. Herein, a new class 3‐hydroxyphenothiazine derivatives with...
Despite the remarkable success and efficacy of immune checkpoint blockade (ICB) therapy such as anti-PD-L1 antibody in treating cancers, myeloid-derived suppressor cells (MDSCs) that lead to formation protumor immunosuppressive microenvironment are one major contributors ICB resistance. Therefore, inhibition MDSC accumulation function is critical for further enhancing therapeutic a majority cancer patients. Artemisinin (ART), most effective antimalarial drug with tumoricidal immunoregulatory...
Abstract Soluble organic molecules with diverse and highly tunable structures are receiving more attention as redox‐active materials for aqueous flow batteries (AOFBs). However, the undesirable parasitic reactions of restrict their practical application. Herein, a general molecular stabilization strategy is proposed by introducing amino groups on 3,7‐positions polycyclic azine derivatives (phenothiazine phenoxazine compounds) to effectively enhance redox activity electrochemical stability...
The diet in early life is essential for the growth and intestinal health later life. However, beneficial effects of a enriched branched short-chain fatty acids (BSCFAs) infants are ambiguous. This study aimed to develop novel fermented protein food, with BSCFAs assess dry wet ferment products on young pig development, nutrient absorption, barrier function, gut microbiota metabolites. A total 18 pigs were randomly assigned three groups. corn gluten-wheat bran mixture (DFCGW) (WFCGW) utilized...
The karst lakes in Jiuzhaigou Nature Reserve are an integral part of the lake landscape, yet research on formation mechanism for color blue-green is insufficient. With help hyperspectral instruments, coupled with hydro-chemical analysis, this paper elaborates unique characteristics lakes, delves into establishes a regression equation as well water quality parameters, and sheds light upon causes distinction between plateau freshwater lakes. experiment shows that primarily blue green, while...
Northeast China (NEC) is a major crop base in East Asia, and summer drought one of the climate extremes that significantly influences NEC agricultural production. Therefore, understanding response to global warming significance. In this study, based on observation large-ensemble simulations Community Earth System Model (CESM-LE), variabilities extreme consecutive dry days (CDDs) over are investigated present future climate. observation, CDDs showed an increasing trend during past half...