4 papers
Repository-Level Graph Representation Learning for Enhanced Security Patch Detection
Xin-Cheng Wen, Zirui Lin, Cuiyun Gao +3
Software vendors often silently release security patches without providing sufficient advisories (e.g., Common Vulnerabilities and Exposures) or delayed updates via resources (e.g.…
Bridge and Hint: Extending Pre-trained Language Models for Long-Range Code
Yujia Chen, Cuiyun Gao, Zezhou Yang +2
In the field of code intelligence, effectively modeling long-range code poses a significant challenge. Existing pre-trained language models (PLMs) such as UniXcoder have achieved r…
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling
Hongyu Zhang, Dongyi Zheng, Lin Zhong +4
In recent years, Cross-Domain Recommendation (CDR) has drawn significant attention, which utilizes user data from multiple domains to enhance the recommendation performance. Howeve…
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning
Hongyu Zhang, Dongyi Zheng, Xu Yang +2
Cross-domain Sequential Recommendation (CSR) which leverages user sequence data from multiple domains has received extensive attention in recent years. However, the existing CSR me…