Zhuoran Ji

According to our database, Zhuoran Ji authored at least 18 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

FedCSpc: A Cross-Silo Federated Learning System With Error-Bounded Lossy Parameter Compression.

Zhaorui Zhang, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Zhuoran Ji, Benben Liu, Khalid Ayedh Alharthi, Jiannong Cao, Franck Cappello

IEEE Trans. Parallel Distributed Syst., July, 2025

Cube-fx: Mapping Taylor Expansion Onto Matrix Multiplier-Accumulators of Huawei Ascend AI Processors.

Yifeng Tang, Huaman Zhou, Zhuoran Ji, Cho-Li Wang

IEEE Trans. Parallel Distributed Syst., June, 2025

VESTA: A Secure and Efficient FHE-based Three-Party Vectorized Evaluation System for Tree Aggregation Models.

Haosong Zhao, Junhao Huang, Zihang Chen, Kunxiong Zhu, Donglong Chen, Zhuoran Ji, Hongyuan Liu

Proceedings of the Abstracts of the 2025 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2025

Accelerating Number Theoretic Transform with Multi-GPU Systems for Efficient Zero Knowledge Proof.

Zhuoran Ji, Jianyu Zhao, Peimin Gao, Xiangkai Yin, Lei Ju

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

POSTER: Accelerating High-Precision Integer Multiplication used in Cryptosystems with GPUs.

Zhuoran Ji, Zhaorui Zhang, Jiming Xu, Lei Ju

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

A Compiler-Like Framework for Optimizing Cryptographic Big Integer Multiplication on GPUs.

Zhuoran Ji, Jianyu Zhao, Zhaorui Zhang, Jiming Xu, Shoumeng Yan, Lei Ju

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Accelerating Multi-Scalar Multiplication for Efficient Zero Knowledge Proofs with Multi-GPU Systems.

Zhuoran Ji, Zhiyuan Zhang, Jiming Xu, Lei Ju

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Embedding Communication for Federated Graph Neural Networks with Privacy Guarantees.

Xueyu Wu, Zhuoran Ji, Cho-Li Wang

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

2022

Momentum-driven adaptive synchronization model for distributed DNN training on HPC clusters.

Zhaorui Zhang, Zhuoran Ji, Cho-Li Wang

J. Parallel Distributed Comput., 2022

Compiler-Directed Incremental Checkpointing for Low Latency GPU Preemption.

Zhuoran Ji, Cho-Li Wang

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Efficient exact K-nearest neighbor graph construction for billion-scale datasets using GPUs with tensor cores.

Zhuoran Ji, Cho-Li Wang

Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

Optimizing Aggregate Computation of Graph Neural Networks with on-GPU Interpreter-Style Programming.

Zhuoran Ji, Cho-Li Wang

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

CTXBack: Enabling Low Latency GPU Context Switching via Context Flashback.

Zhuoran Ji, Cho-Li Wang

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Accelerating DBSCAN Algorithm with AI Chips for Large Datasets.

Zhuoran Ji, Cho-Li Wang

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

Collaborative GPU Preemption via Spatial Multitasking for Efficient GPU Sharing.

Zhuoran Ji, Cho-Li Wang

Proceedings of the Euro-Par 2021: Parallel Processing, 2021

2019

HNMTP Conv: Optimize Convolution Algorithm for Single-Image Convolution Neural Network Inference on Mobile GPUs.

Zhuoran Ji

CoRR, 2019

HG-Caffe: Mobile and Embedded Neural Network GPU (OpenCL) Inference Engine with FP16 Supporting.

Zhuoran Ji

CoRR, 2019

2018

LSICC: A Large Scale Informal Chinese Corpus.

Jianyu Zhao, Zhuoran Ji

CoRR, 2018