Search Results for author: Yuhan Dong

Found 11 papers, 1 papers with code

FlashDecoding++: Faster Large Language Model Inference on GPUs

no code implementations2 Nov 2023 Ke Hong, Guohao Dai, Jiaming Xu, Qiuli Mao, Xiuhong Li, Jun Liu, Kangdi Chen, Yuhan Dong, Yu Wang

A single and static dataflow may lead to a 50. 25% performance loss for GEMMs of different shapes in LLM inference.

Language Modelling Large Language Model

Contrastive Learning for Low-light Raw Denoising

no code implementations5 May 2023 Taoyong Cui, Yuhan Dong

Inspired by the success of contrastive learning used in some high-level computer vision tasks, we bring in this idea to the low-level denoising task.

Contrastive Learning Denoising +1

Bokeh Rendering Based on Adaptive Depth Calibration Network

no code implementations21 Feb 2023 Lu Liu, Lei Zhou, Yuhan Dong

This allows the camera to capture images with shallow depth-of-field, in which only a small area of the image is in sharp focus, while the rest of the image is blurred.

Monocular Depth Estimation

TAOTF: A Two-stage Approximately Orthogonal Training Framework in Deep Neural Networks

no code implementations25 Nov 2022 Taoyong Cui, Jianze Li, Yuhan Dong, Li Liu

In the first stage, we propose a novel algorithm called polar decomposition-based orthogonal initialization (PDOI) to find a good initialization for the orthogonal optimization.

CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS

1 code implementation16 Jul 2022 Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang

Specifically, we train the supernet with a large sharing extent (an easier curriculum) at the beginning and gradually decrease the sharing extent of the supernet (a harder curriculum).

Neural Architecture Search

A Fair Federated Learning Framework With Reinforcement Learning

no code implementations26 May 2022 Yaqi Sun, Shijing Si, Jianzong Wang, Yuhan Dong, Zhitao Zhu, Jing Xiao

More importantly, we apply the Gini coefficient and validation accuracy of clients in each communication round to construct a reward function for the reinforcement learning.

Fairness Federated Learning +2

Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference

no code implementations6 May 2022 Yang Liu, Ersi Zhang, Lulu Xu, Chufan Xiao, Xiaoyun Zhong, Lijin Lian, Fang Li, Bin Jiang, Yuhan Dong, Lan Ma, Qiming Huang, Ming Xu, Yongbing Zhang, Dongmei Yu, Chenggang Yan, Peiwu Qin

Deep learning techniques have shown great potential in medical image processing, particularly through accurate and reliable image segmentation on magnetic resonance imaging (MRI) scans or computed tomography (CT) scans, which allow the localization and diagnosis of lesions.

Computed Tomography (CT) Image Segmentation +3

RCMNet: A deep learning model assists CAR-T therapy for leukemia

no code implementations6 May 2022 Ruitao Zhang, Xueying Han, Ijaz Gul, Shiyao Zhai, Ying Liu, Yongbing Zhang, Yuhan Dong, Lan Ma, Dongmei Yu, Jin Zhou, Peiwu Qin

Although testing on the CAR-T cells dataset, a decent performance is observed, which is attributed to the limited size of the dataset.

Image Classification Transfer Learning

Point Cloud Color Constancy

no code implementations CVPR 2022 Xiaoyan Xing, Yanlin Qian, Sibo Feng, Yuhan Dong, Jiri Matas

In this paper, we present Point Cloud Color Constancy, in short PCCC, an illumination chromaticity estimation algorithm exploiting a point cloud.

Color Constancy

Driving maneuvers prediction based on cognition-driven and data-driven method

no code implementations8 May 2018 Dong Zhou, Huimin Ma, Yuhan Dong

To overcome this challenge, we propose a novel method that combines both the cognition-driven model and the data-driven model.

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