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researcher

Hai Zhao

74 papers hereh-index 376.2k citations416 works total

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

author position
  • first author1
  • middle author36
  • last author32

Across the 69 of 74 papers where every author was matched, so the position is known.

fields
  • cs.CL61
  • cs.NI4
  • cs.IR2
  • cs.RO2
  • cs.AI1
  • cs.LG1
same name
  • Hai Zhao — 36 papers, h 18
  • Hai Zhao — 25 papers, h 15
  • Hai Zhao — 25 papers, h 8
  • Hai Zhao — 12 papers, h 6
  • Hai Zhao — 8 papers, h 5
  • Hai Zhao — 7 papers, h 3

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
20142023
most citedBaichuan 2: Open Large-scale Language Models

127 citations · 498 across the 73 of their papers we have counts for

collaborators
Showing cs.NIShow all

4 papers · 1 filter

cs.NI2018

Using Intuitionistic Fuzzy Set for Anomaly Detection of Network Traffic from Flow Interaction

Jinfa Wang, Hai Zhao, Jiuqiang Xu +3

We present a method to detect anomalies in a time series of flow interaction patterns. There are many existing methods for anomaly detection in network traffic, such as number of p…

cs.NI2018★ 11 cited

Using Complex Network Theory for Temporal Locality in Network Traffic Flows

Jin-Fa Wang, Hai Zhao, Shuai-Zong Si +3

Monitoring the interaction behaviors of network traffic flows and detecting unwanted Internet applications and anomalous flows have become a challenging problem, since many applica…

cs.NI2017★ 2 cited

Internet Anomaly Detection based on Complex Network Path

Jinfa Wang, Siyuan Jia, Hai Zhao +2

Detecting the anomaly behaviors such as network failure or Internet intentional attack in the large-scale Internet is a vital but challenging task. While numerous techniques have b…

cs.NI2016★ 1 cited

Research on Life Characteristics of Internet Based on Network Motifs

Jinfa Wang, Hai Zhao, Xiao Liu

From biosystem to complex system,the study of life is always an important area. Inspired by hyper-cycle theory about the evolution of non-life system, we study the metabolism, self…

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