Zheng Wang

According to our database, Zheng Wang authored at least 13 papers between 2020 and 2025.

Collaborative distances:

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

2025

GMI-DRL: Empowering Multi-GPU DRL with Adaptive-Grained Parallelism.

Yuke Wang, Boyuan Feng, Zheng Wang, Guyue Huang, Tony Tong Geng, Ang Li, Yufei Ding

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training.

Zheng Wang, Anna Cai, Xinfeng Xie, Zaifeng Pan, Yue Guan, Weiwei Chu, Jie Wang, Shikai Li, Jianyu Huang, Chris Cai, Yuchen Hao, Yufei Ding

Proceedings of the 19th USENIX Symposium on Operating Systems Design and Implementation, 2025

2024

OPER: Optimality-Guided Embedding Table Parallelization for Large-scale Recommendation Model.

Zheng Wang, Yuke Wang, Boyuan Feng, Guyue Huang, Dheevatsa Mudigere, Bharath Muthiah, Ang Li, Yufei Ding

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

RAP: Resource-aware Automated GPU Sharing for Multi-GPU Recommendation Model Training and Input Preprocessing.

Zheng Wang, Yuke Wang, Jiaqi Deng, Da Zheng, Ang Li, Yufei Ding

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

ZENO: A Type-based Optimization Framework for Zero Knowledge Neural Network Inference.

Boyuan Feng, Zheng Wang, Yuke Wang, Shu Yang, Yufei Ding

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

2023

TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.

Yuke Wang, Boyuan Feng, Zheng Wang, Guyue Huang, Yufei Ding

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms.

Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

ECSSD: Hardware/Data Layout Co-Designed In-Storage-Computing Architecture for Extreme Classification.

Siqi Li, Fengbin Tu, Liu Liu, Jilan Lin, Zheng Wang, Yangwook Kang, Yufei Ding, Yuan Xie

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2022

Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms.

Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding

CoRR, 2022

GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing.

Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Ang Li, Yufei Ding

CoRR, 2022

Faith: An Efficient Framework for Transformer Verification on GPUs.

Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding

Proceedings of the 2022 USENIX Annual Technical Conference, 2022

EL-Rec: Efficient Large-Scale Recommendation Model Training via Tensor-Train Embedding Table.

Zheng Wang, Yuke Wang, Boyuan Feng, Dheevatsa Mudigere, Bharath Muthiah, Yufei Ding

Proceedings of the SC22: International Conference for High Performance Computing, 2022

2020

Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks.

Boyuan Feng, Yuke Wang, Zheng Wang, Yufei Ding

CoRR, 2020