Zheng Wang

Zheng Wang

CS PhD Student @ UCSD

Zheng Wang (汪政)



Bio

Zheng Wang is a 3rd-year PhD student at UC San Diego, advised by Prof. Yufei Ding. Zheng began his PhD studies at UCSB in 2021 and moved to UCSD in the fall of 2023. His research interests include high-performance system design and end-to-end optimization for deep learning.

News

  • [11/2023] Our RAP paper has been accepted to ASPLOS’24.
  • [08/2023] Our ZENO paper has been accepted to ASPLOS’24.
  • [04/2023] Our TC-GNN paper has been accepted to ATC’23.
  • [04/2023] Excited to be selected as a finalist of Meta PhD fellowship 2023.
  • [03/2023] Our MGG paper has been accepted to OSDI’23.
  • [03/2023] Our ECSSD paper has been accepted to ISCA’23.


Internship

  • [06/2023-09/2023] Research Intern, Meta AI System SW/HW Co-design Team.
  • [06/2022-09/2022] Research Intern, Pacific Northwest National Laboratory (PNNL).
  • [11/2020-01/2021] Software Engineering Intern, Tencent.


Professional Services

  • [01/2023] PLDI’23 Artifact Evaluation Committee
  • [01/2023] EuroSys’23 Artifact Evaluation Committee
  • [11/2022] ECOOP’23 Extended Review Committee
  • [11/2022] PPoPP’23 Artifact Evaluation Committee
  • [10/2022] CGO’23 Artifact Evaluation Committee
  • [07/2022] MICRO’22 Artifact Evaluation Committee
  • [06/2022] SIGCOMM’22 Artifact Evaluation Committee Member
  • [04/2022] Teaching Assistant of CS160 (Translation of Programming Languages)


Publication

[ASPLOS’24] Zheng Wang, Yuke Wang, Jiaqi Deng, Da Zheng, Ang Li, Yufei Ding. RAP: Resource-aware Automated GPU Sharing for Multi-GPU Recommendation Model Training and Input Preprocessing. [To Appear]

[ASPLOS’24] Boyuan Feng, Zheng Wang, Yuke Wang, Shu Yang, Yufei Ding. ZENO: A Type-based Optimization Framework for Zero-Knowledge Neural Network Inference. [To Appear]

[ATC’2023] Yuke Wang, Boyuan Feng, Zheng Wang, Guyue Huang, Yufei Ding. TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs. [To Appear] [Link]

[OSDI’2023] Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Ang Li, Kevin Barker, Yufei Ding. MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms. [Link]

[ISCA’2023] Siqi Li, Fengbin Tu, Liu Liu, Jilan Lin, Zheng Wang, Yangwook Kang, Yufei Ding, Yuan Xie. ECSSD: Hardware/Data Layout Co-Designed In-Storage-Computing Architecture for Extreme Classification. [Link]

[SC’2022] Zheng Wang, Yuke Wang, Boyuan Feng, Dheevatsa Mudigere, Bharath Muthiah, Yufei Ding. EL-Rec: Efficient Large-scale Recommendation Model Training via Tensor-train Embedding Table. [Link]

[Preprint] Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Ang Li, Yufei Ding. GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing. [Link]

[USENIX ATC’2022] Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding. Faith: An Efficient Framework for Transformer Verification on GPUs. [Link]

[AAAI’2021] Boyuan Feng, Yuke Wang, Zheng Wang, Yufei Ding. UAG: Uncertainty-aware Atten- tion Graph Neural Network for Defending Adversarial Attacks. [Link]

Selected Awards

[04/2023] 2023 Meta Fellowship Finalist [Link]