Publications

Publications

  • Jiayi Xian, S. Li(equal contribution, alphabetical order), "Optimum online makespan minimization via learned weights", ICML 2021 (Oral).
  • Jiayi Xian, Dingcheng Li, Alexander Hanbo Li, Derek Liu, Xing Fan, Chenlei Guo, Yang Liu, Yuqing Tang, "Unified Denoising Pretraining and Finetuning for Data and Texts", WeCNLP 2021
  • Chunwei Ma, Jiayi Xian, Ziyun Huang, Mingchen Gao, Jinhui Xu, "Towards Calibration-free Uncertainty Estimation of Deep Neural Networks", UAI 2021.
  • Yufan Zhou, Zhenyi Wang, Jiayi Xian, Jinhui Xu, Changyou Chen, "Meta Learning in Reproducing Kernel Hilbert Space", International Conference on Learning Representations (ICLR) 2021.
  • Xiangyu Guo, Janardhan Kulkarni, S. Li Jiayi Xian (equal contribution, alphabetical order) "Consistent k-Median: Simpler, Better and Robust", AISTATS 2021
  • Jiayi Xian, Xiangyu Guo, Janardhan Kulkarni, S. Li (equal contribution, alphabetical order), "On the Facility Location Problem in Online and Dynamic Models", APPROX 2020.
  • Jiayi Xian, Xiangyu Guo, Guy Kortsarz, Bundit Laekhanukit, S. Li, Daniel Vaz (equal contribution, alphabetical order), "On Approximating Degree-Bounded Network Design Problems", APPROX 2020
  • Yufan Zhou, Jiayi Xian, Jinhui Xu, Changyou Chen, Graph Neural Networks with Composite Kernels https://arxiv.org/abs/2005.07869
  • Jiayi Xian, Jack Buttcane, Xiaoqing Li Non-convex bound for L-functions with higher rank (Math PHD thesis)