Kunlin Yang

According to our database, Kunlin Yang authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Convformer: A Model for Reconstructing Ocean Subsurface Temperature and Salinity Fields Based on Multi-Source Remote Sensing Observations.

Tao Song, Guangxu Xu, Kunlin Yang, Xin Li, Shiqiu Peng

Remote. Sens., July, 2024

Probabilistic Estimation of Tropical Cyclone Intensity Based on Multi-Source Satellite Remote Sensing Images.

Tao Song, Kunlin Yang, Xin Li, Shiqiu Peng, Fan Meng

Remote. Sens., February, 2024

Removing Obstacles before Breaking Through the Memory Wall: A Close Look at HBM Errors in the Field.

Ronglong Wu, Shuyue Zhou, Jiahao Lu, Zhirong Shen, Zikang Xu, Jiwu Shu, Kunlin Yang, Feilong Lin, Yiming Zhang

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators.

Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Kunlin Yang, Jun Hou, Shuai Yi, Shuai Zhang, Junyu Gao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

EEMD-ConvLSTM: a model for short-term prediction of two-dimensional wind speed in the South China Sea.

Handan Sun, Tao Song, Ying Li, Kunlin Yang, Danya Xu, Fan Meng

Appl. Intell., December, 2023

Tropical Cyclone Intensity Probabilistic Forecasting System Based on Deep Learning.

Fan Meng, Kunlin Yang, Yichen Yao, Zhibin Wang, Tao Song

Int. J. Intell. Syst., 2023

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators.

Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Song Guo, Kunlin Yang, Jun Hou, Shuai Zhang, Junyu Gao, Shuai Yi

CoRR, 2023

Exploring Inductive Biases in Contrastive Learning: A Clustering Perspective.

Yunzhe Zhang, Yao Lu, Lei Xu, Kunlin Yang, Hui Tang, Shuyuan Ye, Qi Xuan

CoRR, 2023

Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation.

Martin Zong, Zengyu Qiu, Xinzhu Ma, Kunlin Yang, Chunya Liu, Jun Hou, Shuai Yi, Wanli Ouyang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Global Ionospheric Total Electron Content Completion with a GAN-Based Deep Learning Framework.

Kunlin Yang, Yang Liu

Remote. Sens., December, 2022

Video Crowd Localization With Multifocus Gaussian Neighborhood Attention and a Large-Scale Benchmark.

Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang, Jun Hou

IEEE Trans. Image Process., 2022

Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation.

Zengyu Qiu, Xinzhu Ma, Kunlin Yang, Chunya Liu, Jun Hou, Shuai Yi, Wanli Ouyang

CoRR, 2022

Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting.

Wei Lin, Kunlin Yang, Xinzhu Ma, Junyu Gao, Lingbo Liu, Shinan Liu, Jun Hou, Shuai Yi, Antoni B. Chan

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Pyramid Region-based Slot Attention Network for Temporal Action Proposal Generation.

Shuaicheng Li, Feng Zhang, Rui-Wei Zhao, Kunlin Yang, Lingbo Liu, Rui Feng, Jun Hou

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Probing Visual-Audio Representation for Video Highlight Detection via Hard-Pairs Guided Contrastive Learning.

Shuaicheng Li, Feng Zhang, Kunlin Yang, Lingbo Liu, Shinan Liu, Jun Hou, Shuai Yi

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Leveraging deep learning with audio analytics to predict the success of crowdfunding projects.

Jiatong Shi, Kunlin Yang, Wei Xu, Mingming Wang

J. Supercomput., 2021

Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark.

Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang, Jun Hou

CoRR, 2021

GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer.

Shuaicheng Li, Qianggang Cao, Lingbo Liu, Kunlin Yang, Shinan Liu, Jun Hou, Shuai Yi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Differentially-private Federated Neural Architecture Search.

Ishika Singh, Haoyi Zhou, Kunlin Yang, Meng Ding, Bill Lin, Pengtao Xie

CoRR, 2020

2019

Enhancing intraday stock price manipulation detection by leveraging recurrent neural networks with ensemble learning.

Qili Wang, Wei Xu, Xinting Huang, Kunlin Yang

Neurocomputing, 2019

KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems.

Wayne Xin Zhao, Gaole He, Kunlin Yang, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen

Data Intell., 2019

FraudMemory: Explainable Memory-Enhanced Sequential Neural Networks for Financial Fraud Detection.

Kunlin Yang, Wei Xu

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018

Predicting Stock Price Movement Direction with Enterprise Knowledge Graph.

Yuxin Zhang, Kunlin Yang, Wei Du, Wei Xu

Proceedings of the 22nd Pacific Asia Conference on Information Systems, 2018

A Memory-Enhanced Framework for Financial Fraud Detection.

Kunlin Yang

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018