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Qiang Tang

18 papers hereh-index 365.1k citations189 works total

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

author position
  • sole author4
  • middle author11
  • last author3

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CR13
  • cs.GT2
  • cs.DC1
  • cs.HC1
  • cs.IR1
same name
  • Qiang Tang — 6 papers, h 2
  • Qiang Tang — 6 papers, h 3
  • Qiang Tang — 5 papers, h 3
  • Qiang Tang — 3 papers, h 6
  • Qiang Tang — 3 papers, h 2
  • Qiang Tang — 2 papers, h 2

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
20132024
most citedPrivacy-Preserving Contact Tracing: current solutions and open questions

21 citations · 46 across the 15 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.DC2021

Leopard: Towards High Throughput-Preserving BFT for Large-scale Systems

Kexin Hu, Kaiwen Guo, Qiang Tang +3

With the emergence of large-scale decentralized applications, a scalable and efficient Byzantine Fault Tolerant (BFT) protocol of hundreds of replicas is desirable. Although the th…

cs.CR2021

Efficient Asynchronous Byzantine Agreement without Private Setups

Yingzi Gao, Yuan Lu, Zhenliang Lu +3

Efficient asynchronous Byzantine agreement (BA) protocols were mostly studied with private setups, e.g., pre-setup threshold cryptosystem. Challenges remain to reduce the large com…

cs.CR2021★ 7 cited

Bolt-Dumbo Transformer: Asynchronous Consensus As Fast As the Pipelined BFT

Yuan Lu, Zhenliang Lu, Qiang Tang

An urgent demand of deploying BFT consensus over the Internet is raised for implementing blockchain services. The deterministic (partial) synchronous protocols can be simple and fa…

cs.CR2021

Fair Peer-to-Peer Content Delivery via Blockchain

Songlin He, Yuan Lu, Qiang Tang +2

Peer-to-peer (p2p) content delivery is promising to provide benefits like cost-saving and scalable peak-demand handling in comparison with conventional content delivery networks (C…

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