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Chen Zheng

11 papers hereh-index 10965 citations25 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author7

Across the 8 of 11 papers where every author was matched, so the position is known.

fields
  • cs.DC5
  • cs.PF2
  • cs.AI1
  • cs.AR1
  • cs.CV1
  • cs.OS1
same name
  • Chen Zheng — 8 papers, h 3
  • Chen Zheng — 7 papers, h 2
  • Chen Zheng — 6 papers, h 4
  • Chen Zheng — 4 papers, h 4
  • Chen Zheng — 4 papers, h 4
  • Chen Zheng — 3 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172022
most citedA Dwarf-based Scalable Big Data Benchmarking Methodology

2 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.DC2018

Data Motif-based Proxy Benchmarks for Big Data and AI Workloads

Wanling Gao, Jianfeng Zhan, Lei Wang +8

For the architecture community, reasonable simulation time is a strong requirement in addition to performance data accuracy. However, emerging big data and AI workloads are too hug…

cs.DC2018

Data Motifs: A Lens Towards Fully Understanding Big Data and AI Workloads

Wanling Gao, Jianfeng Zhan, Lei Wang +9

The complexity and diversity of big data and AI workloads make understanding them difficult and challenging. This paper proposes a new approach to modelling and characterizing big…

cs.DC2018

BigDataBench: A Scalable and Unified Big Data and AI Benchmark Suite

Wanling Gao, Jianfeng Zhan, Lei Wang +11

Several fundamental changes in technology indicate domain-specific hardware and software co-design is the only path left. In this context, architecture, system, data management, an…

cs.DC2018

Data Dwarfs: A Lens Towards Fully Understanding Big Data and AI Workloads

Wanling Gao, Jianfeng Zhan, Lei Wang +6

The complexity and diversity of big data and AI workloads make understanding them difficult and challenging. This paper proposes a new approach to characterizing big data and AI wo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.