news

Jan 22, 2025 Excited to share that our work Min-K%++ (a novel method for pretraining data detection) has been accepted to ICLR2025 as Spotlight! See [html][code][arxiv] for more details.
Jan 06, 2025 I start my job as a Machine Learning Engineer at Sciforium today. As one of the founding team members, I will be developing the latest multi-modal LLMs and touching almost every aspect of the whole spectrum, including data curation, model development, training, and deployment.
Dec 15, 2023 Excited to present our work OpenOOD v1.5 as an oral presentation at NeurIPS DistShift workshop! See [html][code][arxiv] for more details.
May 13, 2023 I’m joining Tesla as a Machine Learning Intern this summer.
Aug 16, 2022 Excited to share that our work MixOE (fine-grained OOD detection) has been accepted to WACV2023! See [html][code][arxiv] for more details.
May 23, 2022 I’m joining Bosch Center for AI as a Machine Learning Research Intern this summer.
Apr 05, 2022 Excited to share that our work regarding the privacy leakage of adversarial training models has been accepted to The Art of Robustness workshop at CVPR as an oral presentation! See [html][code][arxiv] for more details.
Sep 25, 2020 Excited to share that our work DVERGE has been accepted to NeurIPS as an oral presentation! See [html][code][arxiv][presentation] for more details.
Aug 26, 2019 I started my Ph.D. study at Duke ECE under the supervision of Prof. Yiran Chen and Prof. Hai Li.