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Xinzhe Li

An Empirical Investigation of Personalized Recommendation and Reward Effect on Customer Behavior: A Stimulus–Organism–Response (SOR) Model Perspective
2022 · Jaeho Jeong, Dongeon Kim, et al. · Sustainability · 77
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A Hybrid CNN-Based Review Helpfulness Filtering Model for Improving E-Commerce Recommendation Service
2021 · Qinglong Li, Xinzhe Li, et al. · Applied Sciences · 56
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A Multimodal Recommender System Using Deep Learning Techniques Combining Review Texts and Images
2024 · Euiju Jeong, Xinzhe Li, et al. · Applied Sciences · 29
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Impact on recommendation performance of online review helpfulness and consistency
2022 · Jaeseung Park, Xinzhe Li, et al. · Data Technologies and Applications · 27
A Review Helpfulness Modeling Mechanism for Online E-commerce: Multi-Channel CNN End‑to‑End Approach
2023 · Xinzhe Li, Qinglong Li, et al. · Applied Artificial Intelligence · 21
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A novel deep learning method to use feature complementarity for review helpfulness prediction
2024 · Xinzhe Li, Qinglong Li, et al. · Journal of Hospitality and Tourism Technology · 13
$$\textrm{D}^4$$-VTON: Dynamic Semantics Disentangling for Differential Diffusion Based Virtual Try-On
2024 · Zhaotong Yang, Zicheng Jiang, et al. · Lecture notes in computer science · 9
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A BERT-based review helpfulness prediction model utilizing consistency of ratings and texts
2025 · Xinzhe Li, Qinglong Li, et al. · Applied Intelligence · 8
Enhancing Review-Based Recommendations Through Local and Global Feature Fusion
2025 · Namhun Kim, Haebin Lim, et al. · Electronics · 7
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Review-Based Recommender System Using Outer Product on CNN
2024 · Sein Hong, Xinzhe Li, et al. · IEEE Access · 7
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What affects the use of smartphones by the elderly? A hybrid survey from China
2023 · Menghua Huang, Yingxue Ren, et al. · National Accounting Review · 7
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A Multimodal Deep Learning Framework for Consistency-Aware Review Helpfulness Prediction
2025 · Seonu Park, Xinzhe Li, et al. · Electronics · 5
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Attentive Review Semantics-Aware Recommendation Model for Rating Prediction
2024 · Jihyeon Kim, Xinzhe Li, et al. · Electronics · 5
Utilizing Advanced Transformers for Summarized Review-Aware Recommender System
2025 · Suji Kim, Li Jin, et al. · IEEE Access · 4
What makes a review helpful? A multimodal prediction model in e-commerce
2026 · Heena Lim, Seonu Park, et al. · Electronic Commerce Research and Applications · 2
Reducing contextual noise in review-based recommendation via aspect term extraction and attention modeling
2026 · Heena Lim, Xinzhe Li, et al. · Information Sciences · 2
Analysis of the research collaboration organizational characteristics and scientific impact of large-scale research facilities: a case study of Chinese large-scale research facilities
2025 · Xinzhe Li, Xiao Lu · Scientometrics · 2
Development of a BERT-based Hotel Recommender System Reflecting User’s Specific Features
2024 · Seonu Park, Xinzhe Li, et al. · Journal of Intelligence and Information Systems · 2
AvatarVTON: 4D Virtual Try-On for Animatable Avatars
2026 · Zicheng Jiang, Jixin Gao, et al. · IEEE Transactions on Visualization and Computer Graphics · 1
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Enhancing Recommendation with Integration of Extractive and Abstractive Summarization
2026 · Minkyung Park, Suji Kim, et al. · Electronics · 1
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Instruction‐Tuned Large Language Models for Review Helpfulness Prediction: An Efficient Fine‐Tuning Framework for E‐Commerce Review Understanding
2026 · Xinzhe Li, Qinglong Li, et al. · Expert Systems · 1
Enhancing Multimodal Recommender System Performance Using Large Language Models
2026 · Soohyun Woo, Seonu Park, et al. · IEEE Access · 1
HarmonPaint: Harmonized Training-Free Diffusion Inpainting
2026 · Xinzhe Li, Ying Li, et al. · IEEE Transactions on Visualization and Computer Graphics · 1
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Empirical Comparison of the Effects of Online and Offline Recommendation Duration on Purchasing Decisions: Case of Korea Food E-commerce Company
2024 · Qinglong Li, Jaeho Jeong, et al. · Asia Pacific Journal of Information Systems · 1
Leveraging Large Language Models for Domain‐Agnostic Aspect‐Aware Recommendation
2026 · Donghyeon Kim, Soohyun Woo, et al. · Expert Systems
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Works count: 37
Citation count: 289
H-index: 8
I10-index: 6
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