Search Results for author: Siwei Li

Found 12 papers, 6 papers with code

A Fuzzy Reinforcement LSTM-based Long-term Prediction Model for Fault Conditions in Nuclear Power Plants

no code implementations13 Nov 2024 Siwei Li, Jiayan Fang, Yichun Wua, Wei Wang, Chengxin Li, Jiangwen Chen

Early fault detection and timely maintenance scheduling can significantly mitigate operational risks in NPPs and enhance the reliability of operator decision-making.

Anomaly Detection Decision Making +3

A Composite Fault Diagnosis Model for NPPs Based on Bayesian-EfficientNet Module

no code implementations13 Nov 2024 Siwei Li, Jiangwen Chen, Hua Lin, Wei Wang

This article focuses on the faults of important mechanical components such as pumps, valves, and pipelines in the reactor coolant system, main steam system, condensate system, and main feedwater system of nuclear power plants (NPPs).

Deep Learning Fault Diagnosis +1

Research on fault diagnosis of nuclear power first-second circuit based on hierarchical multi-granularity classification network

no code implementations12 Nov 2024 Jiangwen Chen, Siwei Li, Guo Jiang, Cheng Dongzhen, Lin Hua, Wang Wei

The safe and reliable operation of complex electromechanical systems in nuclear power plants is crucial for the safe production of nuclear power plants and their nuclear power unit.

Diagnostic Fault Diagnosis

Research on an intelligent fault diagnosis method for nuclear power plants based on ETCN-SSA combined algorithm

no code implementations11 Nov 2024 Jiayan Fang, Siwei Li, Yichun Wu

This paper proposes a novel intelligent fault diagnosis method for NPPs that combines enhanced temporal convolutional network (ETCN) with sparrow search algorithm (SSA).

Fault Diagnosis

Efficiently improving key weather variables forecasting by performing the guided iterative prediction in latent space

1 code implementation27 Jul 2024 Shuangliang Li, Siwei Li

Weather forecasting refers to learning evolutionary patterns of some key upper-air and surface variables which is of great significance.

Prediction Weather Forecasting

Diagnosing and Re-learning for Balanced Multimodal Learning

1 code implementation12 Jul 2024 Yake Wei, Siwei Li, Ruoxuan Feng, Di Hu

In this way, the over-emphasizing of scarcely informative modalities is avoided.

Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning

no code implementations1 Jul 2024 Siwei Li, Yifan Yang, Yifei Shen, Fangyun Wei, Zongqing Lu, Lili Qiu, Yuqing Yang

Efficient fine-tuning plays a fundamental role in modern large models, with low-rank adaptation emerging as a particularly promising approach.

Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer

1 code implementation7 Feb 2024 Mingxuan Liu, Jiankai Tang, Yongli Chen, Haoxiang Li, Jiahao Qi, Siwei Li, Kegang Wang, Jie Gan, Yuntao Wang, Hong Chen

Additionally, the power consumption of the transformer block is reduced by a factor of 12. 2, while maintaining decent performance as PhysFormer and other ANN-based models.

DECO: Query-Based End-to-End Object Detection with ConvNets

3 code implementations21 Dec 2023 Xinghao Chen, Siwei Li, Yijing Yang, Yunhe Wang

The proposed framework, \ie, Detection ConvNet (DECO), is composed of a backbone and convolutional encoder-decoder architecture.

Decoder Object +2

SAM-Deblur: Let Segment Anything Boost Image Deblurring

1 code implementation5 Sep 2023 Siwei Li, Mingxuan Liu, Yating Zhang, Shu Chen, Haoxiang Li, Zifei Dou, Hong Chen

Image deblurring is a critical task in the field of image restoration, aiming to eliminate blurring artifacts.

Deblurring Image Deblurring +1

Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

3 code implementations19 Feb 2018 Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau

The rapidly growing body of research in adversarial machine learning has demonstrated that deep neural networks (DNNs) are highly vulnerable to adversarially generated images.

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