Resume
Academic Achievements
- Published 'Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference' at NeurIPS 2023
- Published 'Learning Large Graph Property Prediction via Graph Segment Training' at NeurIPS 2023
- Published 'TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching' at ICCV 2023
- Published 'Brainformers: Trading Simplicity for Efficiency' at ICML 2023
- Published 'Lifelong Language Pretraining with Distribution-Specialized Experts' at ICML 2023
- Published 'GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing' at MLSys 2023
- Published 'Mixture-of-Experts with Expert Choice Routing' at NeurIPS 2022
- Published 'Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search' at WACV 2023
- Published 'A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules' at MLSys 2022
- Published 'Towards the Co-design of Neural Networks and Accelerators' at MLSys 2022
- Published 'A Learned Performance Model for Tensor Processing Units' at MLSys 2021