Bingbing Li | DeepAI

DeepAI AI Chat

Featured Co-authors

Hao Wang
366 publications
Sharky.TV
230 publications
PetsTime
196 publications
Ang Li
174 publications
Xin Chen
162 publications
Yi Li
145 publications
Jing Wang
124 publications
Yang Chen
117 publications
Lei Yang
117 publications
Xinchao Wang
104 publications
Yan Xu
95 publications

∙ 07/12/2023

Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation

Mitosis detection is one of the fundamental tasks in computational patho...

0 Hao Wang, et al. ∙

∙ 05/23/2023

CGCE: A Chinese Generative Chat Evaluation Benchmark for General and Financial Domains

Generative chat models, such as ChatGPT and GPT-4, have revolutionized n...

0 Xuanyu Zhang, et al. ∙

∙ 12/27/2022

A Novel Dataset and a Deep Learning Method for Mitosis Nuclei Segmentation and Classification

Mitosis nuclei count is one of the important indicators for the patholog...

0 Huadeng Wang, et al. ∙

∙ 09/26/2022

Material Prediction for Design Automation Using Graph Representation Learning

Successful material selection is critical in designing and manufacturing...

0 Shijie Bian, et al. ∙

∙ 08/07/2022

A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining

Transformers are considered one of the most important deep learning mode...

0 Hongwu Peng, et al. ∙

∙ 04/13/2022

WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma

Lung cancer is the leading cause of cancer death worldwide, and adenocar...

1 Chu Han, et al. ∙

∙ 03/29/2022

PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision

Existing self-supervised 3D human pose estimation schemes have largely r...

0 Kehong Gong, et al. ∙

∙ 02/28/2022

RestainNet: a self-supervised digital re-stainer for stain normalization

Color inconsistency is an inevitable challenge in computational patholog...

15 Bingchao Zhao, et al. ∙

∙ 10/19/2021

Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization

State-of-the-art Transformer-based models, with gigantic parameters, are...

0 Panjie Qi, et al. ∙

∙ 10/15/2021

Detecting Gender Bias in Transformer-based Models: A Case Study on BERT

In this paper, we propose a novel gender bias detection method by utiliz...

0 Bingbing Li, et al. ∙

∙ 10/15/2021

Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm

Various pruning approaches have been proposed to reduce the footprint re...

6 Shaoyi Huang, et al. ∙

∙ 02/12/2021

Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices

A pruning-based AutoML framework for run-time reconfigurability, namely ...

8 Yuhong Song, et al. ∙

∙ 12/18/2020

A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks

Network pruning is a widely used technique to reduce computation cost an...

4 Deniz Gurevin, et al. ∙

∙ 09/17/2020

Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning

Pretrained large-scale language models have increasingly demonstrated hi...

0 Bingbing Li, et al. ∙

∙ 07/16/2020

FTRANS: Energy-Efficient Acceleration of Transformers using FPGA

In natural language processing (NLP), the "Transformer" architecture was...

0 Bingbing Li, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world