Kunlin Yang - RankMe

36 papers A* 6A 3C 1Journal 22Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A data fusion approach to synthesize microwave imagery of tropical cyclones from infrared data using vision transformers. Inf. Fusion Fan Meng, Tao Song, Xianxuan Lin, Kunlin Yang
2025	J	`jnl`	A New Wavelet Transform and Merging Generative Adversarial Network (WTM-GAN) Model for TEC Spatial Inpainting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Kunlin Yang, Yang Liu, Yifei Chen, Zhizhao Liu, Kaiyan Jin, Yanbo Zhu
2025	J	`jnl`	Ionformer: A Data-Driven Deep Learning Baseline for Global Ionospheric TEC Forecasting. IEEE Trans. Geosci. Remote. Sens. Lanhao Li, Yang Liu, Haoyi Zhou, Kunlin Yang, Haojun Yan, Jianxin Li
2025	A*	`conf`	Learning Evidential Delta Denoising Scores for Video Editing. ACM Multimedia Yufan Hu, Kunlin Yang, Junyu Gao, Bin Fan, Hongmin Liu
2025	A*	`conf`	MemSeer: Leverage Memory Failure Distinctions and Multi-Grained Prediction in Ultra-Scale Heterogeneous X86/ARM Clusters. DAC Yunfei Gu, Yixuan Liu, Xinyuan Wu, Bo Shao, Chentao Wu, Shiyi Li, Jieru Zhao, Jie Li, Minyi Guo, Kunlin Yang, Wengui Zhang, Feilong Lin
2025	—	`conf`	Temporal Modeling and Prediction of Global Ionospheric Total Electron Content: A Comparative Study of Deep Learning Approaches. PLANS Xinran Bu, Zheng Gong, Kunlin Yang, Yifei Chen, Yufei Zhang, Yang Liu
2025	J	`jnl`	Tropical Cyclone Image Super-Resolution via Multimodality Fusion. ACM Trans. Multim. Comput. Commun. Appl. Tao Song, Kunlin Yang, Fan Meng, Xin Li, Handan Sun, Chenglizhao Chen
2025	A*	`conf`	Unity in Diversity: Video Editing via Gradient-Latent Purification. CVPR Junyu Gao, Kunlin Yang, Xuan Yao, Yufan Hu
2025	J	`jnl`	Variability-enhanced knowledge-based engineering (VEN) for reconfigurable molds. J. Intell. Manuf. Zeeshan Qaiser, Kunlin Yang, Rui Chen, Shane Johnson
2024	A*	`conf`	Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators. AAAI Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Kunlin Yang, Jun Hou, Shuai Yi, Shuai Zhang, Junyu Gao
2024	J	`jnl`	Convformer: A Model for Reconstructing Ocean Subsurface Temperature and Salinity Fields Based on Multi-Source Remote Sensing Observations. Remote. Sens. Tao Song, Guangxu Xu, Kunlin Yang, Xin Li, Shiqiu Peng
2024	J	`jnl`	Probabilistic Estimation of Tropical Cyclone Intensity Based on Multi-Source Satellite Remote Sensing Images. Remote. Sens. Tao Song, Kunlin Yang, Xin Li, Shiqiu Peng, Fan Meng
2024	—	`conf`	Removing Obstacles before Breaking Through the Memory Wall: A Close Look at HBM Errors in the Field. USENIX ATC Ronglong Wu, Shuyue Zhou, Jiahao Lu, Zhirong Shen, Zikang Xu, Jiwu Shu, Kunlin Yang, Feilong Lin, Yiming Zhang
2023	A*	`conf`	Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation. ICLR Martin Zong, Zengyu Qiu, Xinzhu Ma, Kunlin Yang, Chunya Liu, Jun Hou, Shuai Yi, Wanli Ouyang
2023	J	`jnl`	Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators. CoRR Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Song Guo, Kunlin Yang, Jun Hou, Shuai Zhang, Junyu Gao, Shuai Yi
2023	J	`jnl`	EEMD-ConvLSTM: a model for short-term prediction of two-dimensional wind speed in the South China Sea. Appl. Intell. Handan Sun, Tao Song, Ying Li, Kunlin Yang, Danya Xu, Fan Meng
2023	J	`jnl`	Exploring Inductive Biases in Contrastive Learning: A Clustering Perspective. CoRR Yunzhe Zhang, Yao Lu, Lei Xu, Kunlin Yang, Hui Tang, Shuyuan Ye, Qi Xuan
2023	J	`jnl`	Tropical Cyclone Intensity Probabilistic Forecasting System Based on Deep Learning. Int. J. Intell. Syst. Fan Meng, Kunlin Yang, Yichen Yao, Zhibin Wang, Tao Song
2022	J	`jnl`	Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation. CoRR Zengyu Qiu, Xinzhu Ma, Kunlin Yang, Chunya Liu, Jun Hou, Shuai Yi, Wanli Ouyang
2022	J	`jnl`	Global Ionospheric Total Electron Content Completion with a GAN-Based Deep Learning Framework. Remote. Sens. Kunlin Yang, Yang Liu
2022	A	`conf`	Probing Visual-Audio Representation for Video Highlight Detection via Hard-Pairs Guided Contrastive Learning. BMVC Shuaicheng Li, Feng Zhang, Kunlin Yang, Lingbo Liu, Shinan Liu, Jun Hou, Shuai Yi
2022	J	`jnl`	Probing Visual-Audio Representation for Video Highlight Detection via Hard-Pairs Guided Contrastive Learning. CoRR Shuaicheng Li, Feng Zhang, Kunlin Yang, Lingbo Liu, Shinan Liu, Jun Hou, Shuai Yi
2022	A	`conf`	Pyramid Region-based Slot Attention Network for Temporal Action Proposal Generation. BMVC Shuaicheng Li, Feng Zhang, Rui-Wei Zhao, Kunlin Yang, Lingbo Liu, Rui Feng, Jun Hou
2022	J	`jnl`	Pyramid Region-based Slot Attention Network for Temporal Action Proposal Generation. CoRR Shuaicheng Li, Feng Zhang, Rui-Wei Zhao, Rui Feng, Kunlin Yang, Lingbo Liu, Jun Hou
2022	A	`conf`	Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting. BMVC Wei Lin, Kunlin Yang, Xinzhu Ma, Junyu Gao, Lingbo Liu, Shinan Liu, Jun Hou, Shuai Yi, Antoni B. Chan
2022	J	`jnl`	Video Crowd Localization With Multifocus Gaussian Neighborhood Attention and a Large-Scale Benchmark. IEEE Trans. Image Process. Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang, Jun Hou
2021	A*	`conf`	GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer. ICCV Shuaicheng Li, Qianggang Cao, Lingbo Liu, Kunlin Yang, Shinan Liu, Jun Hou, Shuai Yi
2021	J	`jnl`	GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer. CoRR Shuaicheng Li, Qianggang Cao, Lingbo Liu, Kunlin Yang, Shinan Liu, Jun Hou, Shuai Yi
2021	J	`jnl`	Leveraging deep learning with audio analytics to predict the success of crowdfunding projects. J. Supercomput. Jiatong Shi, Kunlin Yang, Wei Xu, Mingming Wang
2021	J	`jnl`	Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark. CoRR Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang, Jun Hou
2020	J	`jnl`	Differentially-private Federated Neural Architecture Search. CoRR Ishika Singh, Haoyi Zhou, Kunlin Yang, Meng Ding, Bill Lin, Pengtao Xie
2019	J	`jnl`	Enhancing intraday stock price manipulation detection by leveraging recurrent neural networks with ensemble learning. Neurocomputing Qili Wang, Wei Xu, Xinting Huang, Kunlin Yang
2019	—	`conf`	FraudMemory: Explainable Memory-Enhanced Sequential Neural Networks for Financial Fraud Detection. HICSS Kunlin Yang, Wei Xu
2019	J	`jnl`	KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems. Data Intell. Wayne Xin Zhao, Gaole He, Kunlin Yang, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen
2018	C	`conf`	A Memory-Enhanced Framework for Financial Fraud Detection. ICMLA Kunlin Yang
2018	—	`conf`	Predicting Stock Price Movement Direction with Enterprise Knowledge Graph. PACIS Yuxin Zhang, Kunlin Yang, Wei Du, Wei Xu