1.2k citations · 1.3k across the 6 of their papers we have counts for
6 papers
Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations
Ningning Li, Qunwei Li, Xichen Ding +2
Deep Candidate Generation plays an important role in large-scale recommender systems. It takes user history behaviors as inputs and learns user and item latent embeddings for candi…
Learning Graph Neural Networks with Approximate Gradient Descent
Qunwei Li, Shaofeng Zou, Wenliang Zhong
The first provably efficient algorithm for learning graph neural networks (GNNs) with one hidden layer for node information convolution is provided in this paper. Two types of GNNs…
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing
Ziqi Liu, Dong Wang, Qianyu Yu +8
Mobile payment such as Alipay has been widely used in our daily lives. To further promote the mobile payment activities, it is important to run marketing campaigns under a limited…
Topology optimization based on moving deformable components: A new computational framework
Xu Guo, Weisheng Zhang, Wenliang Zhong
In the present work, a new computational framework for structural topology optimization based on the concept of moving deformable components is proposed. Compared with the traditio…
Fast Stochastic Alternating Direction Method of Multipliers
Leon Wenliang Zhong, James T. Kwok
In this paper, we propose a new stochastic alternating direction method of multipliers (ADMM) algorithm, which incrementally approximates the full gradient in the linearized ADMM f…
Convex Multitask Learning with Flexible Task Clusters
Wenliang Zhong, James Kwok
Traditionally, multitask learning (MTL) assumes that all the tasks are related. This can lead to negative transfer when tasks are indeed incoherent. Recently, a number of approache…