Jun Han

According to our database, Jun Han authored at least 5 papers between 2016 and 2026.

Collaborative distances:

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

2026

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization.

Qitong Sun, Jun Han, Tianlin Li, Zhe Tang, Sheng Chen, Fei Yang, Aishan Liu, Xianglong Liu, Yang Liu

CoRR, March, 2026

2020

Stein Variational Inference for Discrete Distributions.

Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2018

Stein Variational Gradient Descent Without Gradient.

Jun Han, Qiang Liu

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Stein Variational Adaptive Importance Sampling.

Jun Han, Qiang Liu

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

2016

Bootstrap Model Aggregation for Distributed Statistical Learning.

Jun Han, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016