Yu Gu

About Yu Gu

Yu Gu, With an exceptional h-index of 19 and a recent h-index of 12 (since 2020), a distinguished researcher at Northeastern University, China, specializes in the field of Database, Data Mining.

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

CHGNN: a semi-supervised contrastive hypergraph learning network

LR-CNN: Lightweight Row-centric Convolutional Neural Network Training for Memory Reduction

Accelerating Heterogeneous Tensor Parallelism via Flexible Workload Control

NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments

Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective

Modeling User Viewing Flow using Large Language Models for Article Recommendation

NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams

Unlock Multi-Modal Capability of Dense Retrieval via Visual Module Plugin

Yu Gu Information

University

Position

___

Citations(all)

1360

Citations(since 2020)

607

Cited By

1018

hIndex(all)

19

hIndex(since 2020)

12

i10Index(all)

46

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Yu Gu Skills & Research Interests

Database

Data Mining

Top articles of Yu Gu

CHGNN: a semi-supervised contrastive hypergraph learning network

IEEE Transactions on Knowledge and Data Engineering

2024/3/22

LR-CNN: Lightweight Row-centric Convolutional Neural Network Training for Memory Reduction

arXiv preprint arXiv:2401.11471

2024/1/21

Accelerating Heterogeneous Tensor Parallelism via Flexible Workload Control

arXiv preprint arXiv:2401.11469

2024/1/21

NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments

arXiv preprint arXiv:2311.13225

2023/11/22

Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective

2023/11/22

Modeling User Viewing Flow using Large Language Models for Article Recommendation

arXiv preprint arXiv:2311.07619

2023/11/12

NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams

Proceedings of the VLDB Endowment

2023/11/1

Unlock Multi-Modal Capability of Dense Retrieval via Visual Module Plugin

arXiv preprint arXiv:2310.14037

2023/10/21

Text Matching Improves Sequential Recommendation by Reducing Popularity Biases

2023/10/21

Why blockchain needs graph: A survey on studies, scenarios, and solutions

Journal of Parallel and Distributed Computing

2023/10/1

PlanRanker: Towards Personalized Ranking of Train Transfer Plans

2023/8/6

Lightweight streaming graph partitioning by fully utilizing knowledge from local view

2023/7/18

Towards an Energy Complexity Model for Distributed Data Processing Algorithms

IEEE Transactions on Big Data

2023/6/8

Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data

arXiv preprint arXiv:2305.19912

2023/5/31

Collecting and analyzing key-value data under shuffled differential privacy

Frontiers of Computer Science

2023/4

Effective graph kernels for evolving functional brain networks

2023/2/27

A lock-free approach to parallelizing personalized PageRank computations on GPU

Frontiers of Computer Science

2023/2/1

ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling

Proceedings of the ACM on Management of Data

2023/12/12

A Noise-Aware Multiple Imputation Algorithm for Missing Data

Mathematics

2022/12/25

See List of Professors in Yu Gu University(Northeastern University, China)

Co-Authors

academic-engine