Scholar
Yifan Gong
Google Scholar ID: U_gevVgAAAAJ
Adobe Research
Citations & Impact
Citations
844
H-index
15
i10-index
20
Publications
20
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - One paper accepted in ICLR’25
- - One paper accepted in AAAI’25
- - Three papers accepted in NeurIPS’24
- - One paper accepted in the main track of EMNLP’24
- - Honored to be selected as the 2024 MIT EECS Rising Stars
- - First Place at DAC Ph.D. Forum
- - 2024 MLCommons ML and Systems Rising Stars
- - College of Engineering’s Outstanding Graduate Student Award from Northeastern University
- - Dean’s Fellowship from Northeastern University
- - Paper “Efficient Training with Denoised Neural Weights” accepted in ECCV’24
- - Paper “AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge” accepted in ICCAD’24
- - Paper “E^2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation” accepted in ICML’24
- - Travel grant from CVPR’24
- - Selected as DAC Young Fellow
Research Experience
- - Snap Inc., Research Intern, May 2023 - December 2023
- - IBM, Research Intern, May 2021 - August 2021
Education
- - Ph.D. Degree: 2024, Department of Electrical and Computer Engineering, Northeastern University, supervised by Prof. Yanzhi Wang
Background
- - Research Interests: Accelerations of Emerging Large-Scale Models for AIGC, Hardware and Software Co-Design for Artificial Intelligence Accelerations, Energy-Efficient Deep Learning and Artificial Intelligence Systems, Model Compression, Efficient and Robust Deep Learning
- - Professional Field: General artificial intelligence systems to facilitate deep learning implementation on various edge devices and bridge the gap between algorithm innovations and hardware performance optimizations
- - Biography: Currently a research scientist/engineer at Adobe Research, working on efficient generative models
Co-authors