Chunyang Liu
Biographic Data
| ID | 8966319 |
|---|---|
| NAME | Chunyang Liu |
| GIVEN NAMES | Chunyang |
| FAMILY NAME | Liu |
| SIGNATURE | LIU C |
| AFFILIATIONS | Anhui University of Science and Technology |
| ORCID | 0000-0002-3694-0075 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Language-Guided Spatio-Temporal Context Learning for Next POI Recommendation
With the proliferation of mobile internet and location-based services, location-based social networks (LBSNs) have accumulated extensive user check-in data, driving the advancement of next Point-of-Interest (POI) recommendation systems. Although existing approaches can model sequential dependencies and spatio-temporal patterns, they often fail to fully capture users’ dynamic preferences under varying spatio-temporal contexts and lack effective in…
Alcoholic drinking practices at Pingliangtai during the Late Neolithic Longshan culture, North China
Qufeng Xuanbi Formula inhibited benzo[a]pyrene-induced aggravated asthma airway mucus secretion by AhR/ROS/ERK pathway
A Visualized Dynamic Prediction Model for Overall Survival in Elderly Patients With Pancreatic Cancer for Smart Medical Services
Background: Pancreatic cancer (PC) is a highly malignant tumor of the digestive system. The number of elderly patients with PC is increasing, and older age is related to a worse prognosis. Accurate prognostication is crucial in treatment decisions made for people diagnosed with PC. However, an accurate predictive model for the prognosis of these patients is still lacking. We aimed to construct nomograms for predicting the overall survival (OS) of…
Exploiting Two-Dimensional Geographical and Synthetic Social Influences for Location Recommendation
With the rapid development of location-based social networks (LBSNs), because human behaviors exhibit specific distribution patterns, personalized geo-social recommendation has played a significant role for LBSNs. In addition to user preference and social influence, geographical influence has also been widely researched in location recommendation. Kernel density estimation (KDE) is a key method in modeling geographical influence. However, most cu…
A Spatiotemporal Dilated Convolutional Generative Network for Point-Of-Interest Recommendation
With the growing popularity of location-based social media applications, point-of-interest (POI) recommendation has become important in recent years. Several techniques, especially the collaborative filtering (CF), Markov chain (MC), and recurrent neural network (RNN) based methods, have been recently proposed for the POI recommendation service. However, CF-based methods and MC-based methods are ineffective to represent complicated interaction re…
No prominent works on this page.
Exploiting Two-Dimensional Geographical and Synthetic Social Influences for Location Recommendation
With the rapid development of location-based social networks (LBSNs), because human behaviors exhibit specific distribution patterns, personalized geo-social recommendation has played a significant role for LBSNs. In addition to user preference and social influence, geographical influence has also been widely researched in location recommendation. Kernel density estimation (KDE) is a key method in modeling geographical influence. However, most cu…
A Spatiotemporal Dilated Convolutional Generative Network for Point-Of-Interest Recommendation
With the growing popularity of location-based social media applications, point-of-interest (POI) recommendation has become important in recent years. Several techniques, especially the collaborative filtering (CF), Markov chain (MC), and recurrent neural network (RNN) based methods, have been recently proposed for the POI recommendation service. However, CF-based methods and MC-based methods are ineffective to represent complicated interaction re…
A Visualized Dynamic Prediction Model for Overall Survival in Elderly Patients With Pancreatic Cancer for Smart Medical Services
Background: Pancreatic cancer (PC) is a highly malignant tumor of the digestive system. The number of elderly patients with PC is increasing, and older age is related to a worse prognosis. Accurate prognostication is crucial in treatment decisions made for people diagnosed with PC. However, an accurate predictive model for the prognosis of these patients is still lacking. We aimed to construct nomograms for predicting the overall survival (OS) of…
Qufeng Xuanbi Formula inhibited benzo[a]pyrene-induced aggravated asthma airway mucus secretion by AhR/ROS/ERK pathway
Language-Guided Spatio-Temporal Context Learning for Next POI Recommendation
With the proliferation of mobile internet and location-based services, location-based social networks (LBSNs) have accumulated extensive user check-in data, driving the advancement of next Point-of-Interest (POI) recommendation systems. Although existing approaches can model sequential dependencies and spatio-temporal patterns, they often fail to fully capture users’ dynamic preferences under varying spatio-temporal contexts and lack effective in…
Alcoholic drinking practices at Pingliangtai during the Late Neolithic Longshan culture, North China
Computer Science (3 works) · Human Mobility and Location-Based Analysis (3 works) · Recommender Systems and Techniques (3 works) · Artificial Intelligence (2 works) · Data mining (2 works) · Deep learning (2 works) · Medicine (2 works) · Advanced Image and Video Retrieval Techniques (1 work) · Alcoholism and Thiamine Deficiency (1 work) · Antimicrobial Peptides and Activities (1 work)