Hongtao Lu

Hongtao Lu

Shanghai Jiao Tong University

H-index: 50

Asia-China

About Hongtao Lu

Hongtao Lu, With an exceptional h-index of 50 and a recent h-index of 28 (since 2020), a distinguished researcher at Shanghai Jiao Tong University, specializes in the field of Artificial intelligence, Machine Learning, Computer Vision.

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

PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation

Task Indicating Transformer for Task-conditional Dense Predictions

BPJDet: Extended Object Representation for Generic Body-Part Joint Detection

YOLO-MED: Multi-Task Interaction Network for Biomedical Images

Prompt guided transformer for multi-task dense prediction

Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study

T‐Skeleton: Accurate scene text detection via instance‐aware skeleton embedding

TFUT: Task fusion upward transformer model for multi-task learning on dense prediction

Hongtao Lu Information

University

Position

___

Citations(all)

8165

Citations(since 2020)

4376

Cited By

5033

hIndex(all)

50

hIndex(since 2020)

28

i10Index(all)

127

i10Index(since 2020)

64

Email

University Profile Page

Shanghai Jiao Tong University

Google Scholar

View Google Scholar Profile

Hongtao Lu Skills & Research Interests

Artificial intelligence

Machine Learning

Computer Vision

Top articles of Hongtao Lu

Title

Journal

Author(s)

Publication Date

PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation

arXiv preprint arXiv:2401.13051

Zhaozhi Xie

Bochen Guan

Weihao Jiang

Muyang Yi

Yue Ding

...

2024/1/23

Task Indicating Transformer for Task-conditional Dense Predictions

arXiv preprint arXiv:2403.00327

Yuxiang Lu

Shalayiding Sirejiding

Bayram Bayramli

Suizhi Huang

Yue Ding

...

2024/3/1

BPJDet: Extended Object Representation for Generic Body-Part Joint Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence

Huayi Zhou

Fei Jiang

Jiaxin Si

Yue Ding

Hongtao Lu

2024/1/16

YOLO-MED: Multi-Task Interaction Network for Biomedical Images

arXiv preprint arXiv:2403.00245

Suizhi Huang

Shalayiding Sirejiding

Yuxiang Lu

Yue Ding

Leheng Liu

...

2024/3/1

Prompt guided transformer for multi-task dense prediction

IEEE Transactions on Multimedia

Yuxiang Lu

Shalayiding Sirejiding

Yue Ding

Chunlin Wang

Hongtao Lu

2024/1/4

Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study

arXiv preprint arXiv:2402.12876

Yuwen Yang

Yuxiang Lu

Suizhi Huang

Shalayiding Sirejiding

Hongtao Lu

...

2024/2/20

T‐Skeleton: Accurate scene text detection via instance‐aware skeleton embedding

IET Image Processing

Haiyan Li

Xingfei Hu

Hongtao Lu

2024

TFUT: Task fusion upward transformer model for multi-task learning on dense prediction

Computer Vision and Image Understanding

Zewei Xin

Shalayiding Sirejiding

Yuxiang Lu

Yue Ding

Chunlin Wang

...

2024/4/16

Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training

arXiv preprint arXiv:2402.11566

Huayi Zhou

Mukun Luo

Fei Jiang

Yue Ding

Hongtao Lu

2024/2/18

Enhancing cross-domain detection: adaptive class-aware contrastive transformer

arXiv preprint arXiv:2401.13264

Ziru Zeng

Yue Ding

Hongtao Lu

2024/1/24

Spammer detection on short video applications

Pattern Recognition Letters

Muyang Yi

Dong Liang

Rui Wang

Yue Ding

Hongtao Lu

2024/1/1

UNIDEAL: Curriculum Knowledge Distillation Federated Learning

Yuwen Yang

Chang Liu

Xun Cai

Suizhi Huang

Hongtao Lu

...

2024/4/14

Guided patch-grouping wavelet transformer with spatial congruence for ultra-high resolution segmentation

International Joint Conference on Artificial Intelligence (IJCAI)

Deyi Ji

Feng Zhao

Hongtao Lu

2023

Trimap-guided feature mining and fusion network for natural image matting

Computer Vision and Image Understanding

Weihao Jiang

Dongdong Yu

Zhaozhi Xie

Yaoyi Li

Zehuan Yuan

...

2023/4/1

Ultra-high resolution segmentation with ultra-rich context: A novel benchmark

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Deyi Ji

Feng Zhao

Hongtao Lu

Mingyuan Tao

Jieping Ye

2023

Enhancing the Accuracy of Lymph-Node-Metastasis Prediction in Gynecologic Malignancies Using Multimodal Federated Learning: Integrating CT, MRI, and PET/CT

Cancers

Zhijun Hu

Ling Ma

Yue Ding

Xuanxuan Zhao

Xiaohua Shi

...

2023/11/3

Towards Hetero-Client Federated Multi-Task Learning

arXiv preprint arXiv:2311.13250

Yuxiang Lu

Suizhi Huang

Yuwen Yang

Shalayiding Sirejiding

Yue Ding

...

2023/11/22

Spammer Detection on Short Video Applications: A new Challenge and Baselines

Muyang Yi

Dong Liang

Rui Wang

Yue Ding

Hongtao Lu

2023/6/4

SSDA-YOLO: Semi-supervised domain adaptive YOLO for cross-domain object detection

Computer Vision and Image Understanding

Huayi Zhou

Fei Jiang

Hongtao Lu

2023/3/1

Raft-msf: Self-supervised monocular scene flow using recurrent optimizer

International Journal of Computer Vision

Bayram Bayramli

Junhwa Hur

Hongtao Lu

2023/11

See List of Professors in Hongtao Lu University(Shanghai Jiao Tong University)