most citedModeling Personalized Item Frequency Information for Next-basket Recommendation

10 citations · 12 across the 2 of their papers we have counts for

collaborators

5 papers

cs.NI2020★ 2 cited

A Novel Software-based Multi-path RDMA Solutionfor Data Center Networks

Feng Tian, Wendi Feng, Yang Zhang +1

In this paper we propose Virtuoso, a purely software-based multi-path RDMA solution for data center networks (DCNs) to effectively utilize the rich multi-path topology for load bal…

cs.IR2020★ 10 cited

Modeling Personalized Item Frequency Information for Next-basket Recommendation

Haoji Hu, Xiangnan He, Jinyang Gao +1

Next-basket recommendation (NBR) is prevalent in e-commerce and retail industry. In this scenario, a user purchases a set of items (a basket) at a time. NBR performs sequential mod…

cs.LG2020

Physics-Guided Deep Neural Networks for Power Flow Analysis

Xinyue Hu, Haoji Hu, Saurabh Verma +1

Solving power flow (PF) equations is the basis of power flow analysis, which is important in determining the best operation of existing systems, performing security analysis, etc.…

cs.LG2019

Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning

Saurabh Verma, Zhi-Li Zhang

Learning powerful data embeddings has become a center piece in machine learning, especially in natural language processing and computer vision domains. The crux of these embeddings…

cs.NI2019

A First Look at Commercial 5G Performance on Smartphones

Arvind Narayanan, Eman Ramadan, Jason Carpenter +4

We conduct to our knowledge a first measurement study of commercial 5G performance on smartphones by closely examining 5G networks of three carriers (two mmWave carriers, one mid-b…