Resume
Academic Achievements
- Global Ph.D Fellowship Program, 2019–2021
- Google Ph.D Fellowship Program, 2021
- Outstanding reviewer at ICML 2020 (Top 33%) and ICML 2022 (Top 10%)
- Published multiple papers at top-tier conferences including:
- - 'Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning' (NeurIPS 2025)
- - 'Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted Networks' (ICML 2025)
- - 'Delta-AI: Local Objectives for Amortized Inference in Sparse Graphical Models' (ICLR 2024)
- - 'Online Hyperparameter Meta-Learning with Hypergradient Distillation' (ICLR 2022, spotlight)
- - 'Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning' (ICLR 2022)
- - 'Large-Scale Meta-Learning with Continual Trajectory Shifting' (ICML 2021)
- - 'MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures' (NeurIPS 2020, spotlight)
- - 'Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs' (Interspeech 2020)
- - Preprint: 'Dataset Condensation with Latent Space Knowledge Factorization and Sharing' (arXiv 2022)