Qingzhong Wang

About Qingzhong Wang

Qingzhong Wang, With an exceptional h-index of 14 and a recent h-index of 14 (since 2020), a distinguished researcher at City University of Hong Kong, specializes in the field of AIGC, Vision and Language, Search.

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

P2ANet: A Large-Scale Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos

Check for Context Matters: Cross-Domain Cell Detection in Histopathology Images via Contextual Regularization

Vision ELECTRA: Adversarial Masked Image Modeling with Hierarchical Discriminator

CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation

S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data

Context Matters: Cross-Domain Cell Detection in Histopathology Images via Contextual Regularization

Feynman: Federated Learning-based Advertising for Ecosystems-Oriented Mobile Apps Recommendation

COLTR: Semi-supervised Learning to Rank with Co-training and Over-parameterization for Web Search

Qingzhong Wang Information

University

Position

Department of Computer Science

Citations(all)

727

Citations(since 2020)

718

Cited By

116

hIndex(all)

14

hIndex(since 2020)

14

i10Index(all)

17

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Qingzhong Wang Skills & Research Interests

AIGC

Vision and Language

Search

Top articles of Qingzhong Wang

P2ANet: A Large-Scale Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos

ACM Transactions on Multimedia Computing, Communications and Applications

2024/1/11

Check for Context Matters: Cross-Domain Cell Detection in Histopathology Images via Contextual Regularization

Medical Image Understanding and Analysis: 27th Annual Conference, MIUA 2023, Aberdeen, UK, July 19–21, 2023, Proceedings

2023/12/1

Vision ELECTRA: Adversarial Masked Image Modeling with Hierarchical Discriminator

2023/10/13

CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation

arXiv preprint arXiv:2310.03981

2023/10/6

S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data

2023/8/6

Context Matters: Cross-Domain Cell Detection in Histopathology Images via Contextual Regularization

2023/7/19

Feynman: Federated Learning-based Advertising for Ecosystems-Oriented Mobile Apps Recommendation

IEEE Transactions on Services Computing

2023/6/16

COLTR: Semi-supervised Learning to Rank with Co-training and Over-parameterization for Web Search

IEEE Transactions on Knowledge and Data Engineering

2023/4/26

TiC: Exploring Vision Transformer in Convolution

arXiv preprint arXiv:2310.04134

2023

Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-based Video Classification Frameworks

2023/4/18

A Simple yet Effective Framework for Active Learning to Rank

Machine Intelligence Research

2024/2

A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications

IEEE Transactions on Multimedia

2022/12/26

On Distinctive Image Captioning via Comparing and Reweighting

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

2022/3/16

AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators

2022

Face. evoLVe: A cross-platform library for high-performance face analytics

Neurocomputing

2022/7/14

Pareto optimization for active learning under out-of-distribution data scenarios

arXiv preprint arXiv:2207.01190

2022/7/4

Parameter-Free Style Projection for Arbitrary Image Style Transfer

2022/5/23

A comparative survey of deep active learning

arXiv preprint arXiv:2203.13450

2022/3/25

MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts

2022/9/16

Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN

2022

See List of Professors in Qingzhong Wang University(City University of Hong Kong)

Co-Authors

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