Search Results for author: Haoming Chen

Found 10 papers, 5 papers with code

CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images

no code implementations20 Oct 2021 Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Nina Dempsey, Symeon Lechareas, Ascanio Tridente, Haoming Chen, Stephen White

The proposed method can provide more detailed high resolution visual explanation for the classification decision, compared to current state-of-the-art visual explanation methods and has a great potential to be used in clinical practice for COVID-19 pneumonia diagnosis.

Pneumonia Detection

Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation

1 code implementation CVPR 2022 Zhenguang Liu, Runyang Feng, Haoming Chen, Shuang Wu, Yixing Gao, Yunjun Gao, Xiang Wang

State-of-the-art methods strive to incorporate additional visual evidences from neighboring frames (supporting frames) to facilitate the pose estimation of the current frame (key frame).

Pose Estimation

2D Human Pose Estimation: A Survey

no code implementations15 Apr 2022 Haoming Chen, Runyang Feng, Sifan Wu, Hao Xu, Fengcheng Zhou, Zhenguang Liu

Briefly, existing approaches put their efforts in three directions, namely network architecture design, network training refinement, and post processing.

2D Human Pose Estimation Keypoint Detection

Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning

no code implementations22 Jul 2022 Samson B. Akintoye, Liangxiu Han, Huw Lloyd, Xin Zhang, Darren Dancey, Haoming Chen, Daoqiang Zhang

Deep Neural Network (DNN) models are usually trained sequentially from one layer to another, which causes forward, backward and update locking's problems, leading to poor performance in terms of training time.

sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI

no code implementations17 Feb 2023 Xin Zhang, Liangxiu Han, Lianghao Han, Haoming Chen, Darren Dancey, Daoqiang Zhang

Specifically, it consists of two primary components: 1) A fast and efficient explainable patch selection mechanism for determining the most discriminative patches based on computing the SHapley Additive exPlanations (SHAP) contribution to a transfer learning model for AD diagnosis on massive medical data; and 2) A novel patch-based network for extracting deep features and AD classfication from the selected patches with position embeddings to retain position information, capable of capturing the global and local information of inter- and intra-patches.

Position Transfer Learning

Dynamic Fault Characteristics Evaluation in Power Grid

no code implementations28 Nov 2023 Hao Pei, Si Lin, Chuanfu Li, Che Wang, Haoming Chen, Sizhe Li

To enhance the intelligence degree in operation and maintenance, a novel method for fault detection in power grids is proposed.

Fault Detection

Aurora:Activating Chinese chat capability for Mixtral-8x7B sparse Mixture-of-Experts through Instruction-Tuning

1 code implementation22 Dec 2023 Rongsheng Wang, Haoming Chen, Ruizhe Zhou, Yaofei Duan, Kunyan Cai, Han Ma, Jiaxi Cui, Jian Li, Patrick Cheong-Iao Pang, Yapeng Wang, Tao Tan

This work is pioneering in the execution of instruction fine-tuning on a sparse expert-mixed model, marking a significant breakthrough in enhancing the capabilities of this model architecture.

Instruction Following

LLM-Detector: Improving AI-Generated Chinese Text Detection with Open-Source LLM Instruction Tuning

1 code implementation2 Feb 2024 Rongsheng Wang, Haoming Chen, Ruizhe Zhou, Han Ma, Yaofei Duan, Yanlan Kang, Songhua Yang, Baoyu Fan, Tao Tan

We then proposed LLM-Detector, a novel method for both document-level and sentence-level text detection through Instruction Tuning of LLMs.

Sentence Text Detection

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