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07/12/2023
Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation
Mitosis detection is one of the fundamental tasks in computational patho...
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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...
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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...
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09/26/2022
Material Prediction for Design Automation Using Graph Representation Learning
Successful material selection is critical in designing and manufacturing...
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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...
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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...
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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...
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02/28/2022
RestainNet: a self-supervised digital re-stainer for stain normalization
Color inconsistency is an inevitable challenge in computational patholog...
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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...
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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...
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10/15/2021
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm
Various pruning approaches have been proposed to reduce the footprint re...
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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 ...
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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...
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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...
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07/16/2020