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Jianzhong Qi

4 papers hereh-index 11385 citations17 works total

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

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.IR1
  • cs.SI1
same name
  • Jianzhong Qi — 23 papers, h 26
  • Jianzhong Qi — 12 papers, h 4
  • Jianzhong Qi — 9 papers, h 3
  • Jianzhong Qi — 8 papers, h 3
  • Jianzhong Qi — 6 papers
  • Jianzhong Qi — 3 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
20222026
most citedFake News Detection Through Graph-based Neural Networks: A Survey

3 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.IR2026

Beyond Long Tail POIs: Transition-Centered Generalization for Human Mobility Prediction

Dingyang Lyu, Zhengjia Xu, Jey Han Lau +1

Human mobility prediction forecasts a user's next Point of Interest (POI) from historical trajectories, supporting applications from recommendation to urban planning. Recent studie…

cs.SI2023★ 3 cited

Fake News Detection Through Graph-based Neural Networks: A Survey

Shuzhi Gong, Richard O. Sinnott, Jianzhong Qi +1

The popularity of online social networks has enabled rapid dissemination of information. People now can share and consume information much more rapidly than ever before. However, l…

cs.LG2022★ 2 cited

FedGS: Federated Graph-based Sampling with Arbitrary Client Availability

Zheng Wang, Xiaoliang Fan, Jianzhong Qi +4

While federated learning has shown strong results in optimizing a machine learning model without direct access to the original data, its performance may be hindered by intermittent…

cs.LG2022

A Graph and Attentive Multi-Path Convolutional Network for Traffic Prediction

Jianzhong Qi, Zhuowei Zhao, Egemen Tanin +3

Traffic prediction is an important and yet highly challenging problem due to the complexity and constantly changing nature of traffic systems. To address the challenges, we propose…

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