activity
20212023
most citedLinear-Time Self Attention with Codeword Histogram for Efficient Recommendation

16 citations · 41 across the 7 of their papers we have counts for

collaborators

7 papers

cs.NI2023★ 2 cited

Remote Procedure Call as a Managed System Service

Jingrong Chen, Yongji Wu, Shihan Lin +6

Remote Procedure Call (RPC) is a widely used abstraction for cloud computing. The programmer specifies type information for each remote procedure, and a compiler generates stub cod…

cs.CR2023★ 5 cited

Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice

Andrea Gadotti, Florimond Houssiau, Meenatchi Sundaram Muthu Selva Annamalai +1

Behavioral data generated by users' devices, ranging from emoji use to pages visited, are collected at scale to improve apps and services. These data, however, contain fine-grained…

cs.LG2022★ 1 cited

Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures

Yongji Wu, Matthew Lentz, Danyang Zhuo +1

With the advent of ubiquitous deployment of smart devices and the Internet of Things, data sources for machine learning inference have increasingly moved to the edge of the network…

cs.CR2021★ 10 cited

Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data

Yongji Wu, Xiaoyu Cao, Jinyuan Jia +1

Local Differential Privacy (LDP) protocols enable an untrusted server to perform privacy-preserving, federated data analytics. Various LDP protocols have been developed for differe…

cs.IR2021★ 1 cited

How Powerful is Graph Convolution for Recommendation?

Yifei Shen, Yongji Wu, Yao Zhang +4

Graph convolutional networks (GCNs) have recently enabled a popular class of algorithms for collaborative filtering (CF). Nevertheless, the theoretical underpinnings of their empir…

cs.IR2021★ 16 cited

Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation

Yongji Wu, Defu Lian, Neil Zhenqiang Gong +4

Self-attention has become increasingly popular in a variety of sequence modeling tasks from natural language processing to recommendation, due to its effectiveness. However, self-a…

cs.IR2021★ 6 cited

Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention

Yongji Wu, Lu Yin, Defu Lian +4

Sequential recommendation plays an increasingly important role in many e-commerce services such as display advertisement and online shopping. With the rapid development of these se…