Search Results for author: Yang Lin

Found 15 papers, 4 papers with code

Distance Metric Learning with Joint Representation Diversification

1 code implementation ICML 2020 Xu Chu, Yang Lin, Xiting Wang, Xin Gao, Qi Tong, Hailong Yu, Yasha Wang

Distance metric learning (DML) is to learn a representation space equipped with a metric, such that examples from the same class are closer than examples from different classes with respect to the metric.

Metric Learning

Graph Interpolation via Fast Fused-Gromovization

no code implementations28 Jun 2023 Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu

Graph data augmentation has proven to be effective in enhancing the generalizability and robustness of graph neural networks (GNNs) for graph-level classifications.

Data Augmentation

Coupling a Recurrent Neural Network to SPAD TCSPC Systems for Real-time Fluorescence Lifetime Imaging

no code implementations27 Jun 2023 Yang Lin, Paul Mos, Andrei Ardelean, Claudio Bruschini, Edoardo Charbon

To explore the ultimate limits of the approach, we derived the Cramer-Rao lower bound of the measurement, showing that RNN yields lifetime estimations with near-optimal precision.

Progress and summary of reinforcement learning on energy management of MPS-EV

no code implementations8 Nov 2022 Jincheng Hu, Yang Lin, Liang Chu, Zhuoran Hou, Jihan Li, Jingjing Jiang, Yuanjian Zhang

RL has received continuous attention and research, but there is still a lack of systematic analysis of the design elements of RL-based EMS.

energy management Management +2

Benchmarking Deep Models for Salient Object Detection

1 code implementation7 Feb 2022 Huajun Zhou, Yang Lin, Lingxiao Yang, JianHuang Lai, Xiaohua Xie

In recent years, deep network-based methods have continuously refreshed state-of-the-art performance on Salient Object Detection (SOD) task.

Benchmarking object-detection +2

FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer

1 code implementation27 Nov 2021 Yang Lin, Tianyu Zhang, Peiqin Sun, Zheng Li, Shuchang Zhou

Network quantization significantly reduces model inference complexity and has been widely used in real-world deployments.


Temporal Convolutional Attention Neural Networks for Time Series Forecasting

1 code implementation International Joint Conference on Neural Networks (IJCNN) 2021 Yang Lin, Irena Koprinska, Mashud Rana

TCAN requires less number of convolutional layers than TCNN for an extended receptive field, is faster to train and is able to visualize the most important timesteps for the prediction.

Multivariate Time Series Forecasting Probabilistic Time Series Forecasting +1

A Scalable Optimization Mechanism for Pairwise based Discrete Hashing

no code implementations27 Nov 2018 Shi Xiaoshuang, Xing Fuyong, Zhang Zizhao, Sapkota Manish, Guo Zhenhua, Yang Lin

Based on this significant discovery and the proposed strategy, we introduce a scalable symmetric discrete hashing algorithm that gradually and smoothly updates each batch of binary codes.

Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions

no code implementations1 Nov 2018 Xu Chu, Yang Lin, Jingyue Gao, Jiangtao Wang, Yasha Wang, Leye Wang

However, the shallow models leveraging bilinear forms suffer from limitations on capturing complicated nonlinear interactions between drug pairs.

A vision based system for underwater docking

no code implementations12 Dec 2017 Shuang Liu, Mete Ozay, Takayuki Okatani, Hongli Xu, Kai Sun, Yang Lin

In the experiments, we first evaluate performance of the proposed detection module on UDID and its deformed variations.

Pose Estimation

Forward Backward Similarity Search in Knowledge Networks

no code implementations28 Nov 2016 Shi Baoxu, Yang Lin, Weninger Tim

Similarity search is a fundamental problem in social and knowledge networks like GitHub, DBLP, Wikipedia, etc.

Link Prediction

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