Wei-Lin Chiang

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 15

Top Topics

Linear Classification

Coordinate Descent Method

Minimum Spanning Tree

Top Venues

Publications

Shuo Yang, Wei-Lin Chiang, Lianmin Zheng, Joseph E. Gonzalez, Ion Stoica
Rethinking Benchmark and Contamination for Language Models with Rephrased Samples. CoRR (2023)
Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica
LLM-Assisted Code Cleaning For Training Accurate Code Generators. CoRR (2023)
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. CoRR (2023)
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
Judging LLM-as-a-judge with MT-Bench and Chatbot Arena. CoRR (2023)
Zongheng Yang, Zhanghao Wu, Michael Luo, Wei-Lin Chiang, Romil Bhardwaj, Woosuk Kwon, Siyuan Zhuang, Frank Sifei Luan, Gautam Mittal, Scott Shenker, Ion Stoica
SkyPilot: An Intercloud Broker for Sky Computing. NSDI (2023)
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena. NeurIPS (2023)
Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica
Balsa: Learning a Query Optimizer Without Expert Demonstrations. SIGMOD Conference (2022)
Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica
Balsa: Learning a Query Optimizer Without Expert Demonstrations. CoRR (2022)
Yu-Sheng Li, Wei-Lin Chiang, Ching-Pei Lee
Manifold Identification for Ultimately Communication-Efficient Distributed Optimization. ICML (2020)
Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks. CoRR (2019)
Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks. KDD (2019)
Wei-Lin Chiang, Yu-Sheng Li, Ching-Pei Lee, Chih-Jen Lin
Limited-memory Common-directions Method for Distributed Ll-regularized Linear Classification. SDM (2018)
Chih-Yang Hsia, Wei-Lin Chiang, Chih-Jen Lin
Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification. ACML (2018)
Wei-Lin Chiang, Mu-Chu Lee, Chih-Jen Lin
Parallel Dual Coordinate Descent Method for Large-scale Linear Classification in Multi-core Environments. KDD (2016)
Mu-Chu Lee, Wei-Lin Chiang, Chih-Jen Lin
Fast Matrix-Vector Multiplications for Large-Scale Logistic Regression on Shared-Memory Systems. ICDM (2015)