Hengyu Liu

About Hengyu Liu

Hengyu Liu, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Northeastern University, China, specializes in the field of Knowledge Tracing, Deep Learning, Data Mining, Machine Learning, Graph Model.

His recent articles reflect a diverse array of research interests and contributions to the field:

A probabilistic generative model for tracking multi-knowledge concept mastery probability

FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification

Parallel Prediction Method of Knowledge Proficiency Based on Bloom’s Cognitive Theory

Enhancing Dropout Prediction in Distributed Educational Data Using Learning Pattern Awareness: A Federated Learning Approach

A sampling method based on forecasting and combinatorial optimization for high performance A/B testing

Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations

A subspace constraint based approach for fast hierarchical graph embedding

Gpt4graph: Can large language models understand graph structured data? an empirical evaluation and benchmarking

Hengyu Liu Information

University

Position

___

Citations(all)

132

Citations(since 2020)

125

Cited By

11

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Hengyu Liu Skills & Research Interests

Knowledge Tracing

Deep Learning

Data Mining

Machine Learning

Graph Model

Top articles of Hengyu Liu

A probabilistic generative model for tracking multi-knowledge concept mastery probability

Frontiers of Computer Science

2024/6

FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification

arXiv preprint arXiv:2404.15657

2024/4/24

Parallel Prediction Method of Knowledge Proficiency Based on Bloom’s Cognitive Theory

Mathematics

2023/12/18

Enhancing Dropout Prediction in Distributed Educational Data Using Learning Pattern Awareness: A Federated Learning Approach

Mathematics

2023/12/16

A sampling method based on forecasting and combinatorial optimization for high performance A/B testing

Frontiers of Computer Science

2023/12

Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations

arXiv preprint arXiv:2309.15499

2023/9/27

A subspace constraint based approach for fast hierarchical graph embedding

World Wide Web

2023/9

Xu Chen
Xu Chen

H-Index: 13

Hengyu Liu
Hengyu Liu

H-Index: 1

Gpt4graph: Can large language models understand graph structured data? an empirical evaluation and benchmarking

arXiv preprint arXiv:2305.15066

2023/5/24

Hengyu Liu
Hengyu Liu

H-Index: 1

Leveraging llms for kpis retrieval from hybrid long-document: A comprehensive framework and dataset

arXiv preprint arXiv:2305.16344

2023/5/24

Hengyu Liu
Hengyu Liu

H-Index: 1

Dongmei Zhang
Dongmei Zhang

H-Index: 10

Event-Based Probabilistic Embedding for POI Recommendation

Applied Sciences

2023/1/17

Gbk-gnn: Gated bi-kernel graph neural networks for modeling both homophily and heterophily

2022/4/25

Htgn-btw: Heterogeneous temporal graph network with bi-time-window training strategy for temporal link prediction

arXiv preprint arXiv:2202.12713

2022/2/25

Learning rate perturbation: a generic plugin of learning rate schedule towards flatter local minima

2022/10/17

ContextKT: a context-based method for knowledge tracing

Applied Sciences

2022/9/2

Tracking knowledge structures and proficiencies of students with learning transfer

IEEE Access

2020/10/19

An ELM-Based Ensemble Strategy for POI Recommendation

2020

See List of Professors in Hengyu Liu University(Northeastern University, China)

Co-Authors

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