Yihong Gong

Yihong Gong

Xi'an Jiaotong University

H-index: 75

Asia-China

About Yihong Gong

Yihong Gong, With an exceptional h-index of 75 and a recent h-index of 47 (since 2020), a distinguished researcher at Xi'an Jiaotong University, specializes in the field of Multimedia content analysis, Machine learning, Pattern recognition.

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

Non-exemplar Domain Incremental Object Detection via Learning Domain Bias

CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learnin

Analogical Learning-Based Few-Shot Class-Incremental Learning

Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning

I2CANSAY: Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning

Evolving Parameterized Prompt Memory for Continual Learning

Topology-preserving transfer learning for weakly-supervised anomaly detection and segmentation

Dataset Condensation via Expert Subspace Projection

Yihong Gong Information

University

Position

___

Citations(all)

32557

Citations(since 2020)

11074

Cited By

26633

hIndex(all)

75

hIndex(since 2020)

47

i10Index(all)

229

i10Index(since 2020)

143

Email

University Profile Page

Xi'an Jiaotong University

Google Scholar

View Google Scholar Profile

Yihong Gong Skills & Research Interests

Multimedia content analysis

Machine learning

Pattern recognition

Top articles of Yihong Gong

Title

Journal

Author(s)

Publication Date

Non-exemplar Domain Incremental Object Detection via Learning Domain Bias

Proceedings of the AAAI Conference on Artificial Intelligence

Xiang Song

Yuhang He

Songlin Dong

Yihong Gong

2024/3/24

CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learnin

arXiv preprint arXiv:2403.06670

Xinyuan Gao

Songlin Dong

Yuhang He

Xing Wei

Yihong Gong

2024/3/11

Analogical Learning-Based Few-Shot Class-Incremental Learning

IEEE Transactions on Circuits and Systems for Video Technology

Jiashuo Li

Songlin Dong

Yihong Gong

Yuhang He

Xing Wei

2024/1/8

Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning

Xiang Song

Kuang Shu

Songlin Dong

Jie Cheng

Xing Wei

...

2024

I2CANSAY: Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning

arXiv preprint arXiv:2404.13576

Songlin Dong

Yingjie Chen

Yuhang He

Yuhan Jin

Alex C Kot

...

2024/4/21

Evolving Parameterized Prompt Memory for Continual Learning

Proceedings of the AAAI Conference on Artificial Intelligence

Muhammad Rifki Kurniawan

Xiang Song

Zhiheng Ma

Yuhang He

Yihong Gong

...

2024/3/24

Topology-preserving transfer learning for weakly-supervised anomaly detection and segmentation

Pattern Recognition Letters

Shenxing Wei

Xing Wei

Muhammad Rifki Kurniawan

Zhiheng Ma

Yihong Gong

2023/6/1

Dataset Condensation via Expert Subspace Projection

Sensors

Zhiheng Ma

Dezheng Gao

Shaolei Yang

Xing Wei

Yihong Gong

2023/9/28

Autoregressive visual tracking

Xing Wei

Yifan Bai

Yongchao Zheng

Dahu Shi

Yihong Gong

2023

Semantic knowledge guided class-incremental learning

IEEE Transactions on Circuits and Systems for Video Technology

Shaokun Wang

Weiwei Shi

Songlin Dong

Xinyuan Gao

Xiang Song

...

2023

Semi-supervised crowd counting via multiple representation learning

IEEE Transactions on Image Processing

Xing Wei

Yunfeng Qiu

Zhiheng Ma

Xiaopeng Hong

Yihong Gong

2023/9/13

Brain cognition-inspired dual-pathway CNN architecture for image classification

IEEE Transactions on Neural Networks and Learning Systems

Songlin Dong

Yihong Gong

Jingang Shi

Miao Shang

Xiaoyu Tao

...

2023/1/31

Learning attention from attention: Efficient self-refinement transformer for face super-resolution

Proceedings of the International Joint Conference on Artificial Intelligence

Guanxin Li

Jingang Shi

Yuan Zong

Fei Wang

Tian Wang

...

2023/8/19

Blind hyperspectral image denoising with degradation information learning

Remote Sensing

Xing Wei

Jiahua Xiao

Yihong Gong

2023/1/13

Exploiting multi-scale parallel self-attention and local variation via dual-branch transformer-cnn structure for face super-resolution

IEEE Transactions on Multimedia

Jingang Shi

Yusi Wang

Zitong Yu

Guanxin Li

Xiaopeng Hong

...

2023/8/3

Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning

Songlin Dong

Haoyu Luo

Yuhang He

Xing Wei

Jie Cheng

...

2023

Domain Incremental Object Detection Based on Feature Space Topology Preserving Strategy

IEEE Transactions on Circuits and Systems for Video Technology

Li Ding

Xiang Song

Yuhang He

Changxin Wang

Songlin Dong

...

2023/6/12

Non-Exemplar Class-Incremental Learning via Adaptive Old Class Reconstruction

Shaokun Wang

Weiwei Shi

Yuhang He

Yifan Yu

Yihong Gong

2023

Dkt: Diverse knowledge transfer transformer for class incremental learning

Xinyuan Gao

Yuhang He

Songlin Dong

Jie Cheng

Xing Wei

...

2023

Deep class-incremental learning from decentralized data

IEEE Transactions on Neural Networks and Learning Systems

Xiaohan Zhang

Songlin Dong

Jinjie Chen

Qi Tian

Yihong Gong

...

2022/10/31

See List of Professors in Yihong Gong University(Xi'an Jiaotong University)