Mingyuan Ma

PhD student, Duke University

Joined

September 2021

Names

Mingyuan Ma (Preferred)

Emails

****@duke.edu (Confirmed)

Personal Links

Homepage

Career & Education History

PhD student

Duke University (duke.edu)

2021 – 2027

Undergrad student

Tsinghua University, Tsinghua University (tsinghua.edu.cn)

2016 – 2020

Advisors, Relations & Conflicts

PhD Advisor

Yiran Chen

2021 – 2027

Expertise

Neural architecture search

2021 – 2027

Publications

Accelerating Denoising Generative Models is as Easy as Predicting Second-Order Difference
Yixiao Wang, Ting Jiang, Zishan Shao, Hancheng Ye, Jingwei Sun, Mingyuan Ma, Qinsi Wang, Jianyi Zhang, Yiran Chen, Hai Helen Li
- Submitted to ICLR 2026
- Readers: Everyone
Accelerating Discrete Diffusion Decoding with Parallel Scan
Mingyuan Ma, Hancheng Ye, Qinsi Wang, Hai Helen Li, Yiran Chen
- Submitted to ICLR 2026
- Readers: Everyone
KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems
Hancheng Ye, Zhengqi Gao, Mingyuan Ma, Qinsi Wang, Yuzhe Fu, Ming-Yu Chung, Yueqian Lin, Zhijian Liu, Jianyi Zhang, Danyang Zhuo, Yiran Chen
- NeurIPS 2025 poster
- Readers: Everyone
CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models
Qinsi Wang, Hancheng Ye, Ming-Yu Chung, Yudong Liu, Yueqian Lin, Martin Kuo, Mingyuan Ma, Jianyi Zhang, Yiran Chen
- ICML 2025 poster
- Readers: Everyone
FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices
Minxue Tang, Jianyi Zhang, Mingyuan Ma, Louis DiValentin, Aolin Ding, Amin Hassanzadeh, Hai Li, Yiran Chen
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Automated Mobile Attention KPConv Networks via A Wide & Deep Predictor
Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone

Mingyuan Ma

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Accelerating Denoising Generative Models is as Easy as Predicting Second-Order Difference

Accelerating Discrete Diffusion Decoding with Parallel Scan

KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems

CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models

FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices

Automated Mobile Attention KPConv Networks via A Wide & Deep Predictor

Co-Authors