Search Results for author: Mingxin Li

Found 5 papers, 1 papers with code

Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient

no code implementations28 Feb 2024 Mingxin Li, Richong Zhang, Zhijie Nie

To address these questions, we start from the perspective of gradients and discover that four effective contrastive losses can be integrated into a unified paradigm, which depends on three components: the Gradient Dissipation, the Weight, and the Ratio.

Representation Learning Self-Supervised Learning +1

Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model

1 code implementation12 Sep 2023 Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao

An intriguing phenomenon in CSE is the significant performance gap between supervised and unsupervised methods, with their only difference lying in the training data.

Attribute Contrastive Learning +5

Dynamic Scene Deblurring Based on Continuous Cross-Layer Attention Transmission

no code implementations23 Jun 2022 Xia Hua, Mingxin Li, Junxiong Fei, Yu Shi, Jianguo Liu, Hanyu Hong

In most of these networks, only the features refined by the attention maps can be passed to the next layer and the attention maps of different layers are separated from each other, which does not make full use of the attention information from different layers in the CNN.

Deblurring

Decision-making of Emergent Incident based on P-MADDPG

no code implementations19 Mar 2022 Yibo Guo, Lishuo Hou, Mingxin Li, Yue Yuan, Shun Liu, Jingyi Xue, Yafang Han, Mingliang Xu

In this paper, we propose a P-MADDPG algorithm to solve the emergency decision-making problem of emergent incidents, which predicts the nodes where an incident may occur in the next time by GRU model and makes decisions before the incident occurs, thus solving the problem that the decision speed cannot keep up with the spreading speed.

Decision Making

A pulsed lock-in method for ensemble nitrogen-vacancy center magnetometry

no code implementations6 Jan 2021 Jixing Zhang, Heng Yuan, Tianzheng Liu, Lixia Xu, Guodong Bian, Pengcheng Fan, Mingxin Li

This article proposes a scheme for nitrogen-vacancy (NV) center magnetometry that combines the advantages of lock-in detection and pulse-type scheme.

Applied Physics Quantum Physics

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