Kejian Tong
type: Person
description: software engineer and AI researcher
alumni of: Northeastern University
has occupation: software engineer
has occupation: artificial intelligence researcher
subject of: Enhancing Document-Level Question Answering via Multi-Hop Retrieval-Augmented Generation with LLaMA 3
subject of: FinStack-Net: Hierarchical Feature Crossing and Stacked Ensemble Learning for Financial Fraud Detection
subject of: An Integrated Machine Learning and Deep Learning Framework for Credit Card Approval Prediction
subject of: An Intelligent-Aware Transformer with Domain Adaptation and Contextual Reasoning for Question Answering
subject of: Tool-Augmented Hybrid Ensemble Reasoning with Distillation for Bilingual Mathematical Problem Solving
subject of: Memory-Augmented Knowledge Fusion with Safety-Aware Decoding for Domain-Adaptive Question Answering
subject of: Task-Gated Attentive Multi-Task Ensemble Learning for Joint Energy and Latency Prediction in Cloud Telemetry
subject of: GraphRCA-Chorus: Choreographed Multi-Agent Graph Transformers for Root Cause Analysis in Microservices
knows about: software engineering
knows about: artificial intelligence
knows about: machine learning
knows about: natural language processing
knows about: large language model
knows about: deep learning
additional property: PropertyValue
  property ID: P31
  value: human
additional property: PropertyValue
  property ID: P69
  value: Northeastern University
additional property: PropertyValue
  property ID: P101
  value: software engineering
additional property: PropertyValue
  property ID: P101
  value: artificial intelligence
additional property: PropertyValue
  property ID: P101
  value: machine learning
additional property: PropertyValue
  property ID: P106
  value: software engineer
additional property: PropertyValue
  property ID: P106
  value: artificial intelligence researcher
additional property: PropertyValue
  property ID: P496
  value: 0009-0002-5127-2711
additional property: PropertyValue
  property ID: P512
  value: Master of Science
additional property: PropertyValue
  property ID: P800
  value: Enhancing Document-Level Question Answering via Multi-Hop Retrieval-Augmented Generation with LLaMA 3
additional property: PropertyValue
  property ID: P800
  value: FinStack-Net: Hierarchical Feature Crossing and Stacked Ensemble Learning for Financial Fraud Detection
additional property: PropertyValue
  property ID: P800
  value: An Integrated Machine Learning and Deep Learning Framework for Credit Card Approval Prediction
additional property: PropertyValue
  property ID: P812
  value: computer science
additional property: PropertyValue
  property ID: P856
  value: https://kejian-tong.github.io/
additional property: PropertyValue
  property ID: P1960
  value: JUGvC_oAAAAJ
additional property: PropertyValue
  property ID: P2650
  value: artificial intelligence
additional property: PropertyValue
  property ID: P2650
  value: machine learning
additional property: PropertyValue
  property ID: P2650
  value: natural language processing
additional property: PropertyValue
  property ID: P4012
  value: 2368457510
additional property: PropertyValue
  property ID: P4594
  value: tong_k_1
additional property: PropertyValue
  property ID: P6634
  value: tongoliver
confidence:
  popularity graph score:
    score: 0.002
    score pct: 0
    tier: established
    components:
      sitelinks: 0
      sitelinks norm: 0.0
      unique citations: 18
      unique citations norm: 0.007
      monthly pageviews: 0
      monthly pageviews norm: 0.0
  sitelinks: 0
  unique citations: 18
  monthly pageviews: 0
  yearly pageviews: 0
  tier: established
claims:
  P31:
    value: Q5
    source count: 2
    confidence: 0.4
    value label: human
  P69:
    value: Q37548
    source count: 1
    confidence: 0.2
    value label: Northeastern University
  P101:
    value: Q80993
    source count: 2
    confidence: 0.4
    value label: software engineering
  P101:
    value: Q11660
    source count: 3
    confidence: 0.6
    value label: artificial intelligence
  P101:
    value: Q2539
    source count: 3
    confidence: 0.6
    value label: machine learning
  P101:
    value: Q30642
    source count: 3
    confidence: 0.6
    value label: natural language processing
  P101:
    value: Q115305900
    source count: 3
    confidence: 0.6
    value label: large language model
  P106:
    value: Q1709010
    source count: 2
    confidence: 0.4
    value label: software engineer
  P106:
    value: Q15976092
    source count: 3
    confidence: 0.6
    value label: artificial intelligence researcher
  P496:
    value: 0009-0002-5127-2711
    source count: 1
    confidence: 0.2
  P512:
    value: Q950900
    source count: 1
    confidence: 0.2
    value label: Master of Science
  P800:
    value: Q137651476
    source count: 1
    confidence: 0.2
    value label: Enhancing Document-Level Question Answering via Multi-Hop Retrieval-Augmented Generation with LLaMA 3
  P800:
    value: Q137671022
    source count: 1
    confidence: 0.2
    value label: FinStack-Net: Hierarchical Feature Crossing and Stacked Ensemble Learning for Financial Fraud Detection
  P800:
    value: Q137671188
    source count: 1
    confidence: 0.2
    value label: An Integrated Machine Learning and Deep Learning Framework for Credit Card Approval Prediction
  P800:
    value: Q137671223
    source count: 1
    confidence: 0.2
    value label: An Intelligent-Aware Transformer with Domain Adaptation and Contextual Reasoning for Question Answering
  P800:
    value: Q137671239
    source count: 2
    confidence: 0.4
    value label: Tool-Augmented Hybrid Ensemble Reasoning with Distillation for Bilingual Mathematical Problem Solving
  P812:
    value: Q21198
    source count: 1
    confidence: 0.2
    value label: computer science
  P856:
    value: https://kejian-tong.github.io/
    source count: 1
    confidence: 0.2
  P1960:
    value: JUGvC_oAAAAJ
    source count: 1
    confidence: 0.2
  P2650:
    value: Q11660
    source count: 1
    confidence: 0.2
    value label: artificial intelligence
  P2650:
    value: Q2539
    source count: 1
    confidence: 0.2
    value label: machine learning

value: Q30642
source count: 1
confidence: 0.2
value label: natural language processing

value: Q197536
source count: 1
confidence: 0.2
value label: deep learning

value: Q115305900
source count: 1
confidence: 0.2
value label: large language model

value: 2368457510
source count: 1
confidence: 0.2

value: tong_k_1
source count: 1
confidence: 0.2

value: tongoliver
source count: 1
confidence: 0.2

wikidata id: Q137643975
domain: human
level: standard
html url: https://4ort.xyz/entity/kejian-tong
markdown url: https://4ort.xyz/entity/kejian-tong.md
facts url summary: https://4ort.xyz/entity/kejian-tong/facts.json
facts url standard: https://4ort.xyz/entity/kejian-tong/facts.json
facts url full: https://4ort.xyz/entity/kejian-tong/facts.json
data source: Wikidata (CC0 / public domain)
license: https://creativecommons.org/publicdomain/zero/1.0/
api version: v1
served at: 2026-08-19T11:46:39.104609Z
entity updated at: 2026-03-09T01:37:29.470110+00:00Z
entity created at: 2026-03-04T21:26:33.365794+00:00Z