Zhenkun Cai

28 papers A* 6A 3B 2Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
CRAFT: Cost-aware Expert Replica Allocation with Fine-Grained Layerwise Estimations.
CoRR
Adrian Zhao, Zhenkun Cai, Zhenyu Song, Lingfan Yu, Haozheng Fan, Jun Wu, Yida Wang, Nandita Vijaykumar
2025 B conf
Adaptive Parallel Training for Graph Neural Networks.
PPoPP
Kaihao Ma, Renjie Liu, Xiao Yan, Zhenkun Cai, Xiang Song, Minjie Wang, Yichao Li, James Cheng
2025 A* conf
DCP: Addressing Input Dynamism In Long-Context Training via Dynamic Context Parallelism.
SOSP
Chenyu Jiang, Zhenkun Cai, Ye Tian, Zhen Jia, Yida Wang, Chuan Wu
2025 J jnl
DCP: Addressing Input Dynamism In Long-Context Training via Dynamic Context Parallelism.
CoRR
Chenyu Jiang, Zhenkun Cai, Ye Tian, Zhen Jia, Yida Wang, Chuan Wu
2025 J jnl
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training.
Proc. ACM Manag. Data
Renjie Liu, Yichuan Wang, Xiao Yan, Haitian Jiang, Zhenkun Cai, Minjie Wang, Bo Tang, Jinyang Li
2025 A* conf
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy.
ICLR
Haitian Jiang, Renjie Liu, Zengfeng Huang, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf
2024 A* conf
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs.
NeurIPS
Minjie Wang, Quan Gan, David Wipf, Zheng Zhang, Christos Faloutsos, Weinan Zhang, Muhan Zhang, Zhenkun Cai, Jiahang Li, Zunyao Mao, Yakun Song, Jianheng Tang, Yanlin Zhang, Guang Yang, Chuan Lei, Xiao Qin, Ning Li, Han Zhang, Yanbo Wang, Zizhao Zhang
2024 — conf
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs.
VLDB Workshops
Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang
2024 J jnl
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs.
CoRR
Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang
2024 — conf
DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs.
LoG
Jiahui Liu, Zhenkun Cai, Zhiyong Chen, Minjie Wang
2024 J jnl
DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs.
CoRR
Jiahui Liu, Zhenkun Cai, Zhiyong Chen, Minjie Wang
2024 J jnl
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training.
CoRR
Renjie Liu, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, Haitian Jiang, Bo Tang, Jinyang Li
2024 J jnl
PPS: Fair and efficient black-box scheduling for multi-tenant GPU clusters.
Parallel Comput.
Kaihao Ma, Zhenkun Cai, Xiao Yan, Yang Zhang, Zhi Liu, Yihui Feng, Chao Li, Wei Lin, James Cheng
2023 A* conf
DGI: An Easy and Efficient Framework for GNN Model Evaluation.
KDD
Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang
2023 B conf
DSP: Efficient GNN Training with Multiple GPUs.
PPoPP
Zhenkun Cai, Qihui Zhou, Xiao Yan, Da Zheng, Xiang Song, Chenguang Zheng, James Cheng, George Karypis
2023 J jnl
FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication.
Proc. ACM Manag. Data
Kaihao Ma, Xiao Yan, Zhenkun Cai, Yuzhen Huang, Yidi Wu, James Cheng
2023 J jnl
MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale.
CoRR
Haitian Jiang, Renjie Liu, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf
2023 A* conf
gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning.
SOSP
Ping Gong, Renjie Liu, Zunyao Mao, Zhenkun Cai, Xiao Yan, Cheng Li, Minjie Wang, Zhuozhao Li
2022 J jnl
DGI: Easy and Efficient Inference for GNNs.
CoRR
Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang
2022 J jnl
Elastic Deep Learning in Multi-Tenant GPU Clusters.
IEEE Trans. Parallel Distributed Syst.
Yidi Wu, Kaihao Ma, Xiao Yan, Zhi Liu, Zhenkun Cai, Yuzhen Huang, James Cheng, Han Yuan, Fan Yu
2022 J jnl
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism.
IEEE Trans. Parallel Distributed Syst.
Zhenkun Cai, Xiao Yan, Kaihao Ma, Yidi Wu, Yuzhen Huang, James Cheng, Teng Su, Fan Yu
2021 A conf
DGCL: an efficient communication library for distributed GNN training.
EuroSys
Zhenkun Cai, Xiao Yan, Yidi Wu, Kaihao Ma, James Cheng, Fan Yu
2021 A conf
Seastar: vertex-centric programming for graph neural networks.
EuroSys
Yidi Wu, Kaihao Ma, Zhenkun Cai, Tatiana Jin, Boyang Li, Chengguang Zheng, James Cheng, Fan Yu
2020 A conf
Improving resource utilization by timely fine-grained scheduling.
EuroSys
Tatiana Jin, Zhenkun Cai, Boyang Li, Chengguang Zheng, Guanxian Jiang, James Cheng
2020 J jnl
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training with Auto-Parallelism.
CoRR
Zhenkun Cai, Kaihao Ma, Xiao Yan, Yidi Wu, Yuzhen Huang, James Cheng, Teng Su, Fan Yu
2018 J jnl
FlexPS: Flexible Parallelism Control in Parameter Server Architecture.
Proc. VLDB Endow.
Yuzhen Huang, Tatiana Jin, Yidi Wu, Zhenkun Cai, Xiao Yan, Fan Yang, Jinfeng Li, Yuying Guo, James Cheng
2018 A* conf
Scalable De Novo Genome Assembly Using Pregel.
ICDE
Da Yan, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao
2018 J jnl
Scalable De Novo Genome Assembly Using Pregel.
CoRR
Da Yan, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao