output
20092026
most citedNeural Graph Collaborative Filtering

3.2k citations

Showing cs.LGShow all

35 papers · 1 filter

cs.LG2026

Sharpness-Aware Poisoning: Enhancing Transferability of Injective Attacks on Recommender Systems

Junsong Xie, Yonghui Yang, Pengyang Shao +1

Recommender Systems~(RS) have been shown to be vulnerable to injective attacks, where attackers inject limited fake user profiles to promote the exposure of target items to real us…

cs.LG2025

FLClear: Visually Verifiable Multi-Client Watermarking for Federated Learning

Chen Gu, Yingying Sun, Yifan She +1

Federated learning (FL) enables multiple clients to collaboratively train a shared global model while preserving the privacy of their local data. Within this paradigm, the intellec…

cs.LG2025

A Bayesian Hybrid Parameter-Efficient Fine-Tuning Method for Large Language Models

Yidong Chai, Yang Liu, Yonghang Zhou +2

Large Language Models (LLMs) have demonstrated transformative potential in reshaping the world. As these models are pretrained on general corpora, they often require domain-specifi…

cs.LG2025

Learning-at-Criticality in Large Language Models for Quantum Field Theory and Beyond

Xiansheng Cai, Sihan Hu, Tao Wang +4

Fundamental physics often confronts complex symbolic problems with few guiding exemplars or established principles. While artificial intelligence (AI) offers promise, its typical n…

cs.LG2025★ 37 cited

Learning to Synthesize Compatible Fashion Items Using Semantic Alignment and Collocation Classification: An Outfit Generation Framework

Dongliang Zhou, Haijun Zhang, Kai Yang +5

The field of fashion compatibility learning has attracted great attention from both the academic and industrial communities in recent years. Many studies have been carried out for…

cs.LG2025★ 8 cited

DiffuSETS: 12-lead ECG Generation Conditioned on Clinical Text Reports and Patient-Specific Information

Yongfan Lai, Jiabo Chen, Deyun Zhang +4

Heart disease remains a significant threat to human health. As a non-invasive diagnostic tool, the electrocardiogram (ECG) is one of the most widely used methods for cardiac screen…