Zhennan Wang

About Zhennan Wang

Zhennan Wang, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Shenzhen University, specializes in the field of machine learning, neural networks, deep learning, computer vision.

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

LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer Normalization

Running ahead of evolution—AI-based simulation for predicting future high-risk SARS-CoV-2 variants

Text-video retrieval with disentangled conceptualization and set-to-set alignment

Tg-vqa: Ternary game of video question answering

Fuzzy positive learning for semi-supervised semantic segmentation

Acseg: Adaptive conceptualization for unsupervised semantic segmentation

Multi-granularity interaction simulation for unsupervised interactive segmentation

Locality guidance for improving vision transformers on tiny datasets

Zhennan Wang Information

University

Position

___

Citations(all)

65

Citations(since 2020)

65

Cited By

6

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Zhennan Wang Skills & Research Interests

machine learning

neural networks

deep learning

computer vision

Top articles of Zhennan Wang

LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer Normalization

2023

Running ahead of evolution—AI-based simulation for predicting future high-risk SARS-CoV-2 variants

The International Journal of High Performance Computing Applications

2023/11

Text-video retrieval with disentangled conceptualization and set-to-set alignment

2023

Tg-vqa: Ternary game of video question answering

arXiv preprint arXiv:2305.10049

2023/5/17

Fuzzy positive learning for semi-supervised semantic segmentation

2023

Acseg: Adaptive conceptualization for unsupervised semantic segmentation

2023

Multi-granularity interaction simulation for unsupervised interactive segmentation

2023

Locality guidance for improving vision transformers on tiny datasets

2022/7

DPR-CAE: capsule autoencoder with dynamic part representation for image parsing

arXiv preprint arXiv:2104.14735

2021/4/30

Dma regularization: Enhancing discriminability of neural networks by decreasing the minimal angle

IEEE Signal Processing Letters

2020/11/12

Matrix capsule convolutional projection for deep feature learning

IEEE Signal Processing Letters

2020/10/13

MMA regularization: Decorrelating weights of neural networks by maximizing the minimal angles

NeurIPS 2020

2020/6/6

See List of Professors in Zhennan Wang University(Shenzhen University)