Minjie Wang

Minjie Wang

New York University

H-index: 16

North America-United States

About Minjie Wang

Minjie Wang, With an exceptional h-index of 16 and a recent h-index of 16 (since 2020), a distinguished researcher at New York University, specializes in the field of Deep Learning System.

His recent articles reflect a diverse array of research interests and contributions to the field:

Graph Machine Learning through the Lens of Bilevel Optimization

BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization

Advances in friction of aluminium alloy deep drawing

Mechanism for friction reduction of aluminum alloy at high-pressure and ultra-low temperature

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs

GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs

Cryogenic friction behavior of aluminum alloys sheets under dry contact condition

FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training

Minjie Wang Information

University

Position

___

Citations(all)

5565

Citations(since 2020)

4572

Cited By

2174

hIndex(all)

16

hIndex(since 2020)

16

i10Index(all)

41

i10Index(since 2020)

25

Email

University Profile Page

New York University

Google Scholar

View Google Scholar Profile

Minjie Wang Skills & Research Interests

Deep Learning System

Top articles of Minjie Wang

Title

Journal

Author(s)

Publication Date

Graph Machine Learning through the Lens of Bilevel Optimization

Amber Yijia Zheng

Tong He

Yixuan Qiu

Minjie Wang

David Wipf

2024/4/18

BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization

arXiv preprint arXiv:2403.04763

Amber Yijia Zheng

Tong He

Yixuan Qiu

Minjie Wang

David Wipf

2024/3/7

Advances in friction of aluminium alloy deep drawing

Yiren Gao

Hongxia Li

Danyang Zhao

Minjie Wang

Xiaobo Fan

2024/3

Mechanism for friction reduction of aluminum alloy at high-pressure and ultra-low temperature

Journal of Materials Research and Technology

Yiren Gao

Hongxia Li

Danyang Zhao

Minjie Wang

Xiaobo Fan

2024/1/1

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs

arXiv preprint arXiv:2404.18209

Minjie Wang

Quan Gan

David Wipf

Zhenkun Cai

Ning Li

...

2024/4/28

GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs

arXiv preprint arXiv:2311.17410

Yuchen Zhong

Guangming Sheng

Tianzuo Qin

Minjie Wang

Quan Gan

...

2023/11/29

Cryogenic friction behavior of aluminum alloys sheets under dry contact condition

Tribology International

Yiren Gao

Hongxia Li

Danyang Zhao

Minjie Wang

Xiaobo Fan

2023/2/1

FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training

Kezhao Huang

Haitian Jiang

Minjie Wang

Guangxuan Xiao

David Wipf

...

2023/11/25

Study on wavy-edge plunge milling cutter with chip split and cutting load reduction function

Journal of Manufacturing Processes

Minglong Guo

Zhaocheng Wei

Zhihong Zhang

Minjie Wang

Dongyan Zhai

2023/9/29

A new dynamics analysis model for five-axis machining of curved surface based on dimension reduction and mapping

Chinese Journal of Mechanical Engineering

Minglong Guo

Zhaocheng Wei

Minjie Wang

Zhiwei Zhao

Shengxian Liu

2023/11/13

Refresh: Reducing memory access from exploiting stable historical embeddings for graph neural network training

arXiv preprint arXiv:2301.07482

Kezhao Huang

Haitian Jiang

Minjie Wang

Guangxuan Xiao

David Wipf

...

2023/1/18

Dynamic Constitutive Model for a Martensitic Precipitation-Hardening Steel Considering Adiabatic Shear Damage and Non-uniform Gradient Stress Change: Modeling and Applications

Journal of Materials Engineering and Performance

Longyun Yang

Chunzheng Duan

Xiuru Li

Zhaocheng Wei

Minjie Wang

2023/9/28

gSampler: General and efficient GPU-based graph sampling for graph learning

Ping Gong

Renjie Liu

Zunyao Mao

Zhenkun Cai

Xiao Yan

...

2023/10/23

A new analytical ICCE and force prediction model for wide-row machining of free-form surface

Journal of Mechanical Science and Technology

Minglong Guo

Zhaocheng Wei

Jia Wang

Minjie Wang

Xiaoyu Wang

...

2023/1

Dgi: An easy and efficient framework for gnn model evaluation

Peiqi Yin

Xiao Yan

Jinjing Zhou

Qiang Fu

Zhenkun Cai

...

2023/8/6

MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale

arXiv preprint arXiv:2310.12457

Haitian Jiang

Renjie Liu

Xiao Yan

Zhenkun Cai

Minjie Wang

...

2023/10/19

Effect of cryogenic temperatures on the mechanical behavior and deformation mechanism of AISI 316H stainless steel

Journal of Materials Research and Technology

Xiuru Li

Zhaocheng Wei

Xiaoyu Wang

Longyun Yang

Xiaole Hao

...

2023/1/1

Optimizing irregular dense operators of heterogeneous GNN models on GPU

Israt Nisa

Minjie Wang

Da Zheng

Qiang Fu

Ümit Çatalyürek

...

2023/5/15

Interpretable and Convergent Graph Neural Network Layers at Scale

Haitian Jiang

Renjie Liu

Xiao Yan

Zhenkun Cai

Minjie Wang

...

2023/10/13

Adiabatic shear behavior and cutting force prediction modeling of FV520B steel

The International Journal of Advanced Manufacturing Technology

Longyun Yang

Chunzheng Duan

Yang Wang

Zhaocheng Wei

Minjie Wang

2023/12

See List of Professors in Minjie Wang University(New York University)