Search Results for author: Yuqiu Qian

Found 5 papers, 1 papers with code

Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels

no code implementations13 Feb 2021 Si Chen, Yuqiu Qian, Hui Li, Chen Lin

We leverage Graph Neural Network and multi-task learning to design M$^3$Rec in order to model the complex information in the heterogeneous sequential recommendation scenario of Tencent Games.

Multi-Task Learning Recommendation Systems

Fast and Secure Distributed Nonnegative Matrix Factorization

1 code implementation7 Sep 2020 Yuqiu Qian, Conghui Tan, Danhao Ding, Hui Li, Nikos Mamoulis

Nonnegative matrix factorization (NMF) has been successfully applied in several data mining tasks.

Accelerated Dual-Averaging Primal-Dual Method for Composite Convex Minimization

no code implementations15 Jan 2020 Conghui Tan, Yuqiu Qian, Shiqian Ma, Tong Zhang

Dual averaging-type methods are widely used in industrial machine learning applications due to their ability to promoting solution structure (e. g., sparsity) efficiently.

An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms

no code implementations4 Nov 2019 Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian

In this paper, we propose a Deep Reinforcement Learning (RL) framework for task arrangement, which is a critical problem for the success of crowdsourcing platforms.

Barzilai-Borwein Step Size for Stochastic Gradient Descent

no code implementations NeurIPS 2016 Conghui Tan, Shiqian Ma, Yu-Hong Dai, Yuqiu Qian

One of the major issues in stochastic gradient descent (SGD) methods is how to choose an appropriate step size while running the algorithm.

Stochastic Optimization

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