Yue Cheng

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 17

Top Topics

Dublin Core Metadata

Lossy Compression

Adaptive Learning

Top Venues

Proc. VLDB Endow.

SIGMETRICS/Performance (Abstracts)

Publications

Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl J. Yang, Yue Cheng, Liang Zhao
Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models. CoRR (2024)
Ruizhe Shi, Ruizhi Cheng, Bo Han, Yue Cheng, Songqing Chen
A Closer Look into IPFS: Accessibility, Content, and Performance. Proc. ACM Meas. Anal. Comput. Syst. 8 (2) (2024)
Zhaoyuan Su, Ammar Ahmed, Zirui Wang, Ali Anwar, Yue Cheng
Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask. CoRR (2024)
Yuqi Fu, Ruizhe Shi, Haoliang Wang, Songqing Chen, Yue Cheng
ALPS: An Adaptive Learning, Priority OS Scheduler for Serverless Functions. USENIX ATC (2024)
Rui Yang, Evgenios M. Kornaropoulos, Yue Cheng
Algorithmic Complexity Attacks on Dynamic Learned Indexes. CoRR (2024)
Ruizhe Shi, Ruizhi Cheng, Bo Han, Yue Cheng, Songqing Chen
A Closer Look into IPFS: Accessibility, Content, and Performance. SIGMETRICS/Performance (Abstracts) (2024)
Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao
Toward Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Zhaoyuan Su, Ammar Ahmed, Zirui Wang, Ali Anwar, Yue Cheng
Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask. Proc. VLDB Endow. 17 (8) (2024)
Benjamin Carver, Runzhou Han, Jingyaun Zhang, Mai Zheng, Yue Cheng
λFS: A Scalable and Elastic Distributed File System Metadata Service using Serverless Functions. CoRR (2023)
Redwan Ibne Seraj Khan, Ahmad Hossein Yazdani, Yuqi Fu, Arnab K. Paul, Bo Ji, Xun Jian, Yue Cheng, Ali Raza Butt
SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training. FAST (2023)
Guangji Bai, Ziyang Yu, Zheng Chai, Yue Cheng, Liang Zhao
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction. CoRR (2023)
Ahmad Faraz Khan, Yuze Li, Xinran Wang, Sabaat Haroon, Haider Ali, Yue Cheng, Ali Raza Butt, Ali Anwar
Towards cost-effective and resource-aware aggregation at Edge for Federated Learning. BigData (2023)
Rui Yang, Evgenios M. Kornaropoulos, Yue Cheng
Algorithmic Complexity Attacks on Dynamic Learned Indexes. Proc. VLDB Endow. 17 (4) (2023)
Benjamin Carver, Runzhou Han, Jingyuan Zhang, Mai Zheng, Yue Cheng
λFS: A Scalable and Elastic Distributed File System Metadata Service using Serverless Functions. ASPLOS (4) (2023)
Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Vasily Tarasov, Dimitrios Skourtis, Feng Yan, Yue Cheng
InfiniStore: Elastic Serverless Cloud Storage. Proc. VLDB Endow. 16 (7) (2023)
Yuqi Fu, Li Liu, Haoliang Wang, Yue Cheng, Songqing Chen
SFS: Smart OS Scheduling for Serverless Functions. SC (2022)
Zhaoyuan Su, Sheng Di, Ali Murat Gok, Yue Cheng, Franck Cappello
Understanding Impact of Lossy Compression on Derivative-related Metrics in Scientific Datasets. DRBSD@SC (2022)