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Zheng Wang
Zheng Wang
Ph.D. student, University of California, San Diego
Verified email at ucsd.edu - Homepage
Title
Cited by
Cited by
Year
{TC-GNN}: Bridging Sparse {GNN} Computation and Dense Tensor Cores on {GPUs}
Y Wang, B Feng, Z Wang, G Huang, Y Ding
2023 USENIX Annual Technical Conference (USENIX ATC 23), 149-164, 2023
902023
{MGG}: Accelerating Graph Neural Networks with {Fine-Grained}{Intra-Kernel}{Communication-Computation} Pipelining on {Multi-GPU} Platforms
Y Wang, B Feng, Z Wang, T Geng, K Barker, A Li, Y Ding
17th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2023
552023
EL-Rec: efficient large-scale recommendation model training via tensor-train embedding table
Z Wang, Y Wang, B Feng, D Mudigere, B Muthiah, Y Ding
SC22: International Conference for High Performance Computing, Networking …, 2022
332022
ECSSD: Hardware/Data Layout Co-Designed In-Storage-Computing Architecture for Extreme Classification
S Li, F Tu, L Liu, J Lin, Z Wang, Y Kang, Y Ding, Y Xie
Proceedings of the 50th Annual International Symposium on Computer …, 2023
182023
ZENO: A Type-based Optimization Framework for Zero Knowledge Neural Network Inference
B Feng, Z Wang, Y Wang, S Yang, Y Ding
Proceedings of the 29th ACM International Conference on Architectural …, 2024
152024
RAP: Resource-aware Automated GPU Sharing for Multi-GPU Recommendation Model Training and Input Preprocessing
Z Wang, Y Wang, J Deng, D Zheng, A Li, Y Ding
Proceedings of the 29th ACM International Conference on Architectural …, 2024
152024
WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training
Z Wang, A Cai, X Xie, Z Pan, Y Guan, W Chu, J Wang, S Li, J Huang, ...
arXiv preprint arXiv:2503.17924, 2025
122025
Uncertainty-aware attention graph neural network for defending adversarial attacks
B Feng, Y Wang, Z Wang, Y Ding
arXiv preprint arXiv:2009.10235, 2020
82020
FastTree: Optimizing Attention Kernel and Runtime for Tree-Structured LLM Inference
Z Pan, Y Ding, Y Guan, Z Wang, Z Yu, X Tang, Y Wang, Y Ding
Eighth Conference on Machine Learning and Systems, 0
6*
{OPER}:{Optimality-Guided} Embedding Table Parallelization for Large-scale Recommendation Model
Z Wang, Y Wang, B Feng, G Huang, D Mudigere, B Muthiah, A Li, Y Ding
2024 USENIX Annual Technical Conference (USENIX ATC 24), 667-682, 2024
52024
Faith: An Efficient Framework for Transformer Verification on {GPUs}
B Feng, T Tang, Y Wang, Z Chen, Z Wang, S Yang, Y Xie, Y Ding
2022 USENIX Annual Technical Conference (USENIX ATC 22), 167-182, 2022
12022
Yggdrasil: Bridging Dynamic Speculation and Static Runtime for Latency-Optimal Tree-Based LLM Decoding
Y Guan, C Yu, S Fang, W Hu, Z Pan, Z Wang, Z Liu, Y Zhou, Y Ding, ...
arXiv preprint arXiv:2512.23858, 2025
2025
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing
Y Wang, B Feng, Z Wang, T Geng, A Li, Y Ding
arXiv preprint arXiv:2206.08482, 2022
2022
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