Weiliang Will Zeng

Researcher, QualComm

Joined

May 2022

Names

Weiliang Will Zeng (Preferred)

Emails

****@qti.qualcomm.com (Confirmed)

Personal Links

Google Scholar

Career & Education History

Researcher

QualComm (qualcomm.com)

Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

When Good Enough Is Optimal: Multiplication-Only Matrix Inversion Approximation for Quantized Gated DeltaNet
Luoming Zhang, Yuwei Ren, Kuizhang, Tian Liu, Lingjuan Ge, Denghao Li, Matthew Harper Langston, Yin Huang, Weiliang Will Zeng, liang zhang
- AdaptFM Poster
- Readers: Everyone
FineAMP: Optimization-Based Automatic Mixed Precision Quantization for Efficient Diffusion Model Inference
Burak Bartan, Ruizhong Qiu, Rafael Esteves, Yuwei Ren, Weiliang Will Zeng, An Chen
- NeurIPS 2025 Workshop
- Readers: Everyone
How efficient is LLM-generated code? A rigorous & high-standard benchmark
Ruizhong Qiu, Weiliang Will Zeng, James Ezick, Christopher Lott, Hanghang Tong
- ICLR 2025 Poster
- Readers: Everyone
Neural DAG Scheduling via One-Shot Priority Sampling
Wonseok Jeon, Mukul Gagrani, Burak Bartan, Weiliang Will Zeng, Harris Teague, Piero Zappi, Christopher Lott
- Published: 23 Nov 2022, Last Modified: 05 May 2023
- OPT 2022 Poster
- Readers: Everyone
Neural DAG Scheduling via One-Shot Priority Sampling
Wonseok Jeon, Mukul Gagrani, Burak Bartan, Weiliang Will Zeng, Harris Teague, Piero Zappi, Christopher Lott
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- ICLR 2023 poster
- Readers: Everyone
Neural Topological Ordering for Computation Graphs
Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Roberto Bondesan, Herke van Hoof, Christopher Lott, Weiliang Will Zeng, Piero Zappi
- Published: 31 Oct 2022, Last Modified: 07 Oct 2022
- NeurIPS 2022 Accept
- Readers: Everyone

Weiliang Will Zeng

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

When Good Enough Is Optimal: Multiplication-Only Matrix Inversion Approximation for Quantized Gated DeltaNet

FineAMP: Optimization-Based Automatic Mixed Precision Quantization for Efficient Diffusion Model Inference

How efficient is LLM-generated code? A rigorous & high-standard benchmark

Neural DAG Scheduling via One-Shot Priority Sampling

Neural DAG Scheduling via One-Shot Priority Sampling

Neural Topological Ordering for Computation Graphs

Co-Authors