Search Results for author: Yiyang Chen

Found 6 papers, 2 papers with code

Revealing Decurve Flows for Generalized Graph Propagation

no code implementations13 Feb 2024 Chen Lin, Liheng Ma, Yiyang Chen, Wanli Ouyang, Michael M. Bronstein, Philip H. S. Torr

\textbf{Secondly}, we propose the {\em Continuous Unified Ricci Curvature} (\textbf{CURC}), an extension of celebrated {\em Ollivier-Ricci Curvature} for directed and weighted graphs.

Graph Learning

Using Human-like Mechanism to Weaken Effect of Pre-training Weight Bias in Face-Recognition Convolutional Neural Network

no code implementations20 Oct 2023 Haojiang Ying, Yi-Fan Li, Yiyang Chen

In this study, we focused on 4 extensively studied CNNs (AlexNet, VGG11, VGG13, and VGG16) which has been analyzed as human-like models by neuroscientists with ample evidence.

Face Recognition Transfer Learning

Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation

no code implementations5 Aug 2023 Yiyang Chen, Shanshan Zhao, Changxing Ding, Liyao Tang, Chaoyue Wang, DaCheng Tao

In recent years, cross-modal domain adaptation has been studied on the paired 2D image and 3D LiDAR data to ease the labeling costs for 3D LiDAR semantic segmentation (3DLSS) in the target domain.

Domain Adaptation LIDAR Semantic Segmentation +1

Empirical Evaluation of ChatGPT on Requirements Information Retrieval Under Zero-Shot Setting

1 code implementation25 Apr 2023 Jianzhang Zhang, Yiyang Chen, Nan Niu, Yinglin Wang, Chuang Liu

Our evaluation of ChatGPT on requirements IR under zero-shot setting provides preliminary evidence for designing or developing more effective requirements IR methods or tools based on LLMs.

Information Retrieval Language Modelling +1

Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization

1 code implementation14 Nov 2022 Yiyang Chen, Zhedong Zheng, Wei Ji, Leigang Qu, Tat-Seng Chua

The key idea underpinning the proposed method is to integrate fine- and coarse-grained retrieval as matching data points with small and large fluctuations, respectively.

Composed Image Retrieval (CoIR) Image Retrieval with Multi-Modal Query +1

Machine learning based iterative learning control for non-repetitive time-varying systems

no code implementations1 Jul 2021 Yiyang Chen, Wei Jiang, Themistoklis Charalambous

A machine learning (ML) based nominal model update mechanism, which utilizes the linear regression technique to update the nominal model at each ILC trial only using the current trial information, is proposed for non-repetitive TVSs in order to enhance the ILC performance.

BIG-bench Machine Learning regression

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