Zenglin Xu

About Zenglin Xu

Zenglin Xu, With an exceptional h-index of 51 and a recent h-index of 44 (since 2020), a distinguished researcher at Harbin Institute of Technology, specializes in the field of Machine Learning, Trustworthy AI, Federated Learning, Few-shot Learning, Natural Language Processing.

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

Cumulative Distribution Function based General Temporal Point Processes

Preparing Lessons for Progressive Training on Language Models

SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models

Information-Theoretic Generalization Analysis for Topology-aware Heterogeneous Federated Edge Learning over Noisy Channels

Tensorized Hypergraph Neural Networks

Tackling Long-tailed Distribution Issue in Graph Neural Networks via Normalization

Predicting intubation for intensive care units patients: A deep learning approach to improve patient management

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data

Zenglin Xu Information

University

Position

___

Citations(all)

9044

Citations(since 2020)

7150

Cited By

3723

hIndex(all)

51

hIndex(since 2020)

44

i10Index(all)

140

i10Index(since 2020)

117

Email

University Profile Page

Google Scholar

Zenglin Xu Skills & Research Interests

Machine Learning

Trustworthy AI

Federated Learning

Few-shot Learning

Natural Language Processing

Top articles of Zenglin Xu

Cumulative Distribution Function based General Temporal Point Processes

arXiv preprint arXiv:2402.00388

2024/2/1

Preparing Lessons for Progressive Training on Language Models

arXiv preprint arXiv:2401.09192

2024/1/17

SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models

arXiv preprint arXiv:2401.00793

2024/1/1

Information-Theoretic Generalization Analysis for Topology-aware Heterogeneous Federated Edge Learning over Noisy Channels

IEEE Signal Processing Letters

2024

Tensorized Hypergraph Neural Networks

2024

Tackling Long-tailed Distribution Issue in Graph Neural Networks via Normalization

IEEE Transactions on Knowledge and Data Engineering

2024

Zenglin Xu
Zenglin Xu

H-Index: 30

Yuan Qi
Yuan Qi

H-Index: 3

Predicting intubation for intensive care units patients: A deep learning approach to improve patient management

International Journal of Medical Informatics

2024/6/1

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data

arXiv preprint arXiv:2404.18886

2024/4/29

On the Necessity of Collaboration in Online Model Selection with Decentralized Data

arXiv preprint arXiv:2404.09494

2024/4/15

Zenglin Xu
Zenglin Xu

H-Index: 30

OctOcc: High-Resolution 3D Occupancy Prediction with Octree

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Xiaolin Song
Xiaolin Song

H-Index: 10

Zenglin Xu
Zenglin Xu

H-Index: 30

Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

MVEB: Self-Supervised Learning With Multi-View Entropy Bottleneck

IEEE Transactions on Pattern Analysis and Machine Intelligence

2024/3/21

Liangjian Wen
Liangjian Wen

H-Index: 4

Zenglin Xu
Zenglin Xu

H-Index: 30

Topology Learning for Heterogeneous Decentralized Federated Learning over Unreliable D2D Networks

IEEE Transactions on Vehicular Technology

2024/3/13

Zenglin Xu
Zenglin Xu

H-Index: 30

Jie Liu
Jie Liu

H-Index: 2

FedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning

arXiv preprint arXiv:2403.06131

2024/3/10

Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling

arXiv preprint arXiv:2403.00869

2024/3/1

Adaptive asynchronous federated learning

2023/2/7

Enhancing Efficiency in Sparse Models with Sparser Selection

arXiv preprint arXiv:2403.18926

2024/2/27

PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations

arXiv preprint arXiv:2402.16913

2024/2/25

CORE: CORrelation-Guided Feature Enhancement for Few-Shot Image Classification

IEEE Transactions on Neural Networks and Learning Systems

2024/2/23

Predicting global label relationship matrix for graph neural networks under heterophily

Advances in Neural Information Processing Systems

2024/2/13

Zenglin Xu
Zenglin Xu

H-Index: 30

See List of Professors in Zenglin Xu University(Harbin Institute of Technology)

Co-Authors

academic-engine