Yingjie Li

PhD student, University of Utah

Joined

May 2021

Names

Yingjie Li (Preferred)

Emails

****@utah.edu (Confirmed)

****@umd.edu (Confirmed)

Personal Links

Homepage

Career & Education History

PhD student

University of Utah (utah.edu)

2020 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Respect: Reinforcement learning based edge scheduling on pipelined coral edge tpus
Jiaqi Yin, Yingjie Li, Daniel Robinson, CUNXI YU
- Design Automation Conference
- Readers: Everyone
Quadratic Differentiable Optimization for the Maximum Independent Set Problem
Ismail Alkhouri, Cedric Le Denmat, Yingjie Li, Jia Liu, Rongrong Wang, Alvaro Velasquez
- ICML 2025
- Readers: Everyone
Differentiable Quadratic Optimization For the Maximum Independent Set Problem
Ismail Alkhouri, Cedric Le Denmat, Yingjie Li, CUNXI YU, Jia Liu, Rongrong Wang, Alvaro Velasquez
- ICML 2025 poster
- Readers: Everyone
GROOT: Graph Edge Re-growth and Partitioning for the Verification of Large Designs in Logic Synthesis
Kiran Thorat, Hongwu Peng, Yuebo Luo, Xi Xie, Shaoyi Huang, Amit Hasan, Jiahui Zhao, Yingjie Li, Nan Wu, Zhijie Shi, CUNXI YU, Caiwen Ding
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Differentiable Combinatorial Scheduling at Scale
Mingju Liu, Yingjie Li, Jiaqi Yin, Zhiru Zhang, CUNXI YU
- ICML 2024 Poster
- Readers: Everyone
LUMEN-PRO: Automating Multi-Task Learning on Optical Neural Networks with Weight Sharing and Physical Rotation
Shanglin Zhou, Yingjie Li, Zhijie Shi, CUNXI YU, Caiwen Ding
- Submitted to ICLR 2024
- Readers: Everyone
Differentiable Discrete Device-to-System Codesign for Optical Neural Networks via Gumbel-Softmax
Yingjie Li, Ruiyang Chen, Weilu Gao, CUNXI YU
- 29 Sept 2021 (modified: 13 Feb 2023)
- ICLR 2022 Conference Withdrawn Submission
- Readers: Everyone

Yingjie Li

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Respect: Reinforcement learning based edge scheduling on pipelined coral edge tpus

Quadratic Differentiable Optimization for the Maximum Independent Set Problem

Differentiable Quadratic Optimization For the Maximum Independent Set Problem

GROOT: Graph Edge Re-growth and Partitioning for the Verification of Large Designs in Logic Synthesis

Differentiable Combinatorial Scheduling at Scale

LUMEN-PRO: Automating Multi-Task Learning on Optical Neural Networks with Weight Sharing and Physical Rotation

Differentiable Discrete Device-to-System Codesign for Optical Neural Networks via Gumbel-Softmax

Co-Authors