Minghai Qin

Senior technologist, Research, Western Digital Corporation

Joined

February 2020

Names

Minghai Qin (Preferred)

Emails

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

ORCID

Career & Education History

senior technologist

Research , Western Digital Corporation (wdc.com)

2021 – Present

Research Scientist

Research , Alibaba Group (alibaba-inc.com)

2019 – 2021

Senior Principal Researcher

Research , HGST/Western Digital Corporation (wdc.com)

2014 – 2019

PhD student

University of California, San Diego (ucsd.edu)

2009 – 2014

Advisors, Relations & Conflicts

PhD Advisor

Paul Siegel

Present

Expertise

Machine learning algorithms

Present

Deep learning acceleration

Present

Model sparsification

Present

Publications

From Bits to Chips: An LLM-based Hardware-Aware Quantization Agent for Streamlined Deployment of LLMs
Kaiyuan Deng, Hangyu Zheng, Minghai Qin, Kunxiong Zhu, Gen Li, Yang Xiao, Lan Emily Zhang, Linke Guo, Bo Hui, Yanzhi Wang, Geng Yuan, Gagan Agrawal, Wei Niu, Xiaolong Ma
- Submitted to ICLR 2026
- Readers: Everyone
Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking
Kaiyuan Deng, Bo Hui, Gen Li, Jie Ji, Minghai Qin, Geng Yuan, Xiaolong Ma
- Submitted to ICLR 2026
- Readers: Everyone
Advancing Dynamic Sparse Training by Exploring Optimization Opportunities
Jie Ji, Gen Li, Lu Yin, Minghai Qin, Geng Yuan, Linke Guo, Shiwei Liu, Xiaolong Ma
- ICML 2024 Poster
- Readers: Everyone
NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization
Gen Li, Lu Yin, Jie Ji, Wei Niu, Minghai Qin, Bin Ren, Linke Guo, Shiwei Liu, Xiaolong Ma
- ICLR 2024 poster
- Readers: Everyone
Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design
Gen Li, Zhihao Shu, Jie Ji, Minghai Qin, Fatemeh Afghah, Wei Niu, Xiaolong Ma
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
BiDST: Dynamic Sparse Training is a Bi-Level Optimization Problem
Jie Ji, Gen Li, Lu Yin, Minghai Qin, Geng Yuan, Linke Guo, Shiwei Liu, Xiaolong Ma
- Submitted to ICLR 2024
- Readers: Everyone
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang
- 01 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- ICLR 2023 poster
- Readers: Everyone
Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge
Changdi Yang, Pu Zhao, Yanyu Li, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Bin Ren, Xue Lin, Yanzhi Wang
- 22 Sept 2022 (modified: 13 Feb 2023)
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning
Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Xuan Shen, Geng Yuan, Bin Ren, Hao Tang, Minghai Qin, Yanzhi Wang
- 2022 (modified: 22 Nov 2022)
- ECCV (11) 2022
- Readers: Everyone

View all 71 publications

Co-Authors

View all 102 co-authors