Wei-Lin Chiang

According to our database, Wei-Lin Chiang authored at least 7 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Balsa: Learning a Query Optimizer Without Expert Demonstrations.

Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2020

Manifold Identification for Ultimately Communication-Efficient Distributed Optimization.

Yu-Sheng Li, Wei-Lin Chiang, Ching-Pei Lee

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks.

Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Limited-memory Common-directions Method for Distributed Ll-regularized Linear Classification.

Wei-Lin Chiang, Yu-Sheng Li, Ching-Pei Lee, Chih-Jen Lin

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification.

Chih-Yang Hsia, Wei-Lin Chiang, Chih-Jen Lin

Proceedings of The 10th Asian Conference on Machine Learning, 2018

2016

Parallel Dual Coordinate Descent Method for Large-scale Linear Classification in Multi-core Environments.

Wei-Lin Chiang, Mu-Chu Lee, Chih-Jen Lin

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Fast Matrix-Vector Multiplications for Large-Scale Logistic Regression on Shared-Memory Systems.

Mu-Chu Lee, Wei-Lin Chiang, Chih-Jen Lin

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015