Bin Li

Bin Li

Fudan University

H-index: 29

Asia-China

About Bin Li

Bin Li, With an exceptional h-index of 29 and a recent h-index of 23 (since 2020), a distinguished researcher at Fudan University, specializes in the field of Machine Learning, Visual Intelligence, Data Science.

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

Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning

Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models

Training-free diffusion model adaptation for variable-sized text-to-image synthesis

Towards Generative Abstract Reasoning: Completing Raven's Progressive Matrix via Rule Abstraction and Selection

Compositional scene modeling with global object-centric representations

Style spectroscope: Improve interpretability and controllability through fourier analysis

Unsupervised Object-Centric Learning From Multiple Unspecified Viewpoints

Chinese character recognition with radical-structured stroke trees

Bin Li Information

University

Position

___

Citations(all)

4064

Citations(since 2020)

2139

Cited By

2760

hIndex(all)

29

hIndex(since 2020)

23

i10Index(all)

57

i10Index(since 2020)

47

Email

University Profile Page

Google Scholar

Bin Li Skills & Research Interests

Machine Learning

Visual Intelligence

Data Science

Top articles of Bin Li

Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Training-free diffusion model adaptation for variable-sized text-to-image synthesis

Advances in Neural Information Processing Systems

2024/2/13

Towards Generative Abstract Reasoning: Completing Raven's Progressive Matrix via Rule Abstraction and Selection

arXiv preprint arXiv:2401.09966

2024/1/18

Compositional scene modeling with global object-centric representations

Machine Learning

2024/1/11

Style spectroscope: Improve interpretability and controllability through fourier analysis

Machine Learning

2024/1/9

Unsupervised Object-Centric Learning From Multiple Unspecified Viewpoints

IEEE Transactions on Pattern Analysis and Machine Intelligence

2024/1/3

Chinese character recognition with radical-structured stroke trees

Machine Learning

2023/12/22

FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients

arXiv preprint arXiv:2311.11227

2023/11/19

One-Shot Federated Learning with Classifier-Guided Diffusion Models

arXiv preprint arXiv:2311.08870

2023/11/15

Scene text segmentation with text-focused transformers

2023/10/26

Denoising-mot: Towards multiple object tracking with severe occlusions

2023/10/26

Weakly-supervised text instance segmentation

2023/10/26

Orientation-independent chinese text recognition in scene images

arXiv preprint arXiv:2309.01081

2023/9/3

Rethinking Person Re-identification from a Projection-on-Prototypes Perspective

arXiv preprint arXiv:2308.10717

2023/8/21

Exploring fine-grained representation and recomposition for cloth-changing person re-identification

arXiv preprint arXiv:2308.10692

2023/8/21

Towards accurate video text spotting with text-wise semantic reasoning

2023/8/19

Scalp hair loss is not random across follicular units: A new insight into human hair ageing

International Journal of Cosmetic Science

2023/8

Abstracting Concept-Changing Rules for Solving Raven's Progressive Matrix Problems

arXiv preprint arXiv:2307.07734

2023/7/15

Textformer: Component-aware text segmentation with transformer

2023/7/10

See List of Professors in Bin Li University(Fudan University)

Co-Authors

academic-engine