1 code implementation • 7 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.
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.
no code implementations • 4 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.
no code implementations • 15 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.
no code implementations • 13 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.