Ke Zhang

most citedGMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.HC2025

Data Humanism Decoded: A Characterization of its Principles to Bridge Data Visualization Researchers and Practitioners

Ibrahim Al-Hazwani, Ke Er Zhang, Laura Garrison +1

Data Humanism is a human-centered design approach that emphasizes the personal, contextual, and imperfect nature of data. Despite its growing influence among practitioners, the 13…

cond-mat.mtrl-sci2024

In-depth Understanding of the Band Alignment and Interface States Scenario in Bi $_{2}$ O $_{2}$ Se/SrTiO $_{3}$ Ultrathin Heterojunction

Ke Zhang, Yusen Feng, Lei Hao +6

Bismuth oxyselenide (Bi $_{2}$ O $_{2}$ Se), a novel quasi-2D charge-carrying semiconductor, is hailed as one of the best emerging platforms for the next generation semiconductor devices.…

cs.DC2024★ 1 cited

GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching

Cong Guo, Rui Zhang, Jiale Xu +8

Large-scale deep neural networks (DNNs), such as large language models (LLMs), have revolutionized the artificial intelligence (AI) field and become increasingly popular. However,…

Data Humanism Decoded: A Characterization of its Principles to Bridge Data Visualization Researchers and Practitioners

In-depth Understanding of the Band Alignment and Interface States Scenario in Bi2​O2​Se/SrTiO3​ Ultrathin Heterojunction

GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching

In-depth Understanding of the Band Alignment and Interface States Scenario in Bi $_{2}$ O $_{2}$ Se/SrTiO $_{3}$ Ultrathin Heterojunction