activity
20222024
most citedPersonalized Graph Signal Processing for Collaborative Filtering

39 citations · 58 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LO20247 cited

Physically Aware Synthesis Revisited: Guiding Technology Mapping with Primitive Logic Gate Placement

Hongyang Pan, Cunqing Lan, Yiting Liu +5

A typical VLSI design flow is divided into separated front-end logic synthesis and back-end physical design (PD) stages, which often require costly iterations between these stages…

cs.IR2024

Frequency-aware Graph Signal Processing for Collaborative Filtering

Jiafeng Xia, Dongsheng Li, Hansu Gu +4

Graph Signal Processing (GSP) based recommendation algorithms have recently attracted lots of attention due to its high efficiency. However, these methods failed to consider the im…

cs.IR20232 cited

Recommendation Unlearning via Matrix Correction

Jiahao Liu, Dongsheng Li, Hansu Gu +5

Recommender systems are important for providing personalized services to users, but the vast amount of collected user data has raised concerns about privacy (e.g., sensitive data),…

cs.IR202339 cited

Personalized Graph Signal Processing for Collaborative Filtering

Jiahao Liu, Dongsheng Li, Hansu Gu +4

The collaborative filtering (CF) problem with only user-item interaction information can be solved by graph signal processing (GSP), which uses low-pass filters to smooth the obser…

cs.CV202217 cited

Do Smart Glasses Dream of Sentimental Visions? Deep Emotionship Analysis for Eyewear Devices

Yingying Zhao, Yuhu Chang, Yutian Lu +8

Emotion recognition in smart eyewear devices is highly valuable but challenging. One key limitation of previous works is that the expression-related information like facial or eye…