Feng Zhu

Identification of Dangerous Goods in Human THZ Images

2018 · Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

For terahertz image with low signal-to-noise ratio, serious blur and poor resolution, this paper uses the mean filter to denoise the terahertz image, and then uses Faster RCNN algorithm to detect and identify the dangerous …

Multi-Label Text Classification Based on Multidimensional Information Extraction

2021

At present, there is a common problem of project labels missing in open source software (OSS) communities. However, proper project labels help OSS users find the expected OSS projects more efficiently and improve the quality …

Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation

2025 · ACM Transactions on Information Systems

In recent years, dual-target Cross-Domain Recommendation (CDR) has been proposed to capture comprehensive user preferences in order to ultimately enhance the recommendation accuracy in both data-richer and data-sparser domains simultaneously. However, in addition to users’ …

A Unified Framework for Cross-Domain and Cross-System Recommendations

2021 · IEEE Transactions on Knowledge and Data Engineering

Cross-Domain Recommendation (CDR) and Cross-System Recommendation (CSR) have been proposed to improve the recommendation accuracy in a target dataset (domain/system) with the help of a source one with relatively richer information. However, most existing CDR …

DTCDR

2019

In order to address the data sparsity problem in recommender systems, in recent years, Cross-Domain Recommendation (CDR) leverages the relatively richer information from a source domain to improve the recommendation performance on a target domain …

A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation

2020

The conventional single-target Cross-Domain Recommendation (CDR) only improves the recommendation accuracy on a target domain with the help of a source domain (with relatively richer information). In contrast, the novel dual-target CDR has been proposed …

Cross-Domain Recommendation: Challenges, Progress, and Prospects

2021

To address the long-standing data sparsity problem in recommender systems (RSs), cross-domain recommendation (CDR) has been proposed to leverage the relatively richer information from a richer domain to improve the recommendation performance in a sparser …

A Deep Framework for Cross-Domain and Cross-System Recommendations

2018

Cross-Domain Recommendation (CDR) and Cross-System Recommendations (CSR) are two of the promising solutions to address the long-standing data sparsity problem in recommender systems. They leverage the relatively richer information, e.g., ratings, from the source domain …