Hanfang Yang

According to our database, Hanfang Yang authored at least 25 papers between 2012 and 2023.

Collaborative distances:

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

2023

Bagged Regularized k-Distances for Anomaly Detection.

Yuchao Cai, Yuheng Ma, Hanfang Yang, Hanyuan Hang

CoRR, 2023

Optimal Locally Private Nonparametric Classification with Public Data.

Yuheng Ma, Hanfang Yang

CoRR, 2023

Decision Tree for Locally Private Estimation with Public Data.

Yuheng Ma, Han Zhang, Yuchao Cai, Hanfang Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Extrapolated Random Tree for Regression.

Yuchao Cai, Yuheng Ma, Yiwei Dong, Hanfang Yang

Proceedings of the International Conference on Machine Learning, 2023

2022

Under-bagging Nearest Neighbors for Imbalanced Classification.

Hanyuan Hang, Yuchao Cai, Hanfang Yang, Zhouchen Lin

J. Mach. Learn. Res., 2022

Exploring Coarse-grained Pre-guided Attention to Assist Fine-grained Attention Reinforcement Learning Agents.

Haoyu Liu, Yang Liu, Xingrui Wang, Hanfang Yang

Proceedings of the International Joint Conference on Neural Networks, 2022

MTRec: Multi-Task Learning over BERT for News Recommendation.

Qiwei Bi, Jian Li, Lifeng Shang, Xin Jiang, Qun Liu, Hanfang Yang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Erratum: Liu et al. Nightlight as a Proxy of Economic Indicators: Fine-Grained GDP Inference around Chinese Mainland via Attention-Augmented CNN from Daytime Satellite Imagery. Remote Sens. 2021, 13, 2067.

Haoyu Liu, Xianwen He, Yanbing Bai, Xing Liu, Yilin Wu, Yanyun Zhao, Hanfang Yang

Remote. Sens., 2021

Nightlight as a Proxy of Economic Indicators: Fine-Grained GDP Inference Around Mainland China via Attention-Augmented CNN from Daytime Satellite Imagery.

Haoyu Liu, Xianwen He, Yanbing Bai, Xing Liu, Yilin Wu, Yanyun Zhao, Hanfang Yang

Remote. Sens., 2021

Enhancement of Detecting Permanent Water and Temporary Water in Flood Disasters by Fusing Sentinel-1 and Sentinel-2 Imagery Using Deep Learning Algorithms: Demonstration of Sen1Floods11 Benchmark Datasets.

Yanbing Bai, Wenqi Wu, Zhengxin Yang, Jinze Yu, Bo Zhao, Xing Liu, Hanfang Yang, Erick Mas, Shunichi Koshimura

Remote. Sens., 2021

Augmented Abstractive Summarization With Document-LevelSemantic Graph.

Qiwei Bi, Haoyuan Li, Kun Lu, Hanfang Yang

CoRR, 2021

Gradient Boosted Binary Histogram Ensemble for Large-scale Regression.

Hanyuan Hang, Tao Huang, Yuchao Cai, Hanfang Yang, Zhouchen Lin

CoRR, 2021

Boosting Few-shot Abstractive Summarization with Auxiliary Tasks.

Qiwei Bi, Haoyuan Li, Hanfang Yang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Technical Solution Discussion for Key Challenges of Operational Convolutional Neural Network-Based Building-Damage Assessment from Satellite Imagery: Perspective from Benchmark xBD Dataset.

Jinhua Su, Yanbing Bai, Xingrui Wang, Dong Lu, Bo Zhao, Hanfang Yang, Erick Mas, Shunichi Koshimura

Remote. Sens., 2020

Jackknife empirical likelihood inference for the Pietra ratio.

Yichuan Zhao, Yueju Su, Hanfang Yang

Comput. Stat. Data Anal., 2020

Boosted Histogram Transform for Regression.

Yuchao Cai, Hanyuan Hang, Hanfang Yang, Zhouchen Lin

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Density-based Clustering with Best-scored Random Forest.

Hanyuan Hang, Yuchao Cai, Hanfang Yang

CoRR, 2019

2018

Smoothed jackknife empirical likelihood for the one-sample difference of quantiles.

Hanfang Yang, Yichuan Zhao

Comput. Stat. Data Anal., 2018

Deep Sparse Informative Transfer SoftMax for Cross-Domain Image Classification.

Hanfang Yang, Xiangdong Zhou, Lan Lin, Bo Yao, Zijing Tan, Haocheng Tang, Yingjie Tian

Proceedings of the Database Systems for Advanced Applications, 2018

2015

Smoothed jackknife empirical likelihood inference for ROC curves with missing data.

Hanfang Yang, Yichuan Zhao

J. Multivar. Anal., 2015

Jackknife empirical likelihood inference for the mean absolute deviation.

Yichuan Zhao, Xueping Meng, Hanfang Yang

Comput. Stat. Data Anal., 2015

An Informative Logistic Regression for Cross-Domain Image Classification.

Guangtang Zhu, Hanfang Yang, Lan Lin, Guichun Zhou, Xiangdong Zhou

Proceedings of the Computer Vision Systems - 10th International Conference, 2015

2013

Smoothed jackknife empirical likelihood inference for the difference of ROC curves.

Hanfang Yang, Yichuan Zhao

J. Multivar. Anal., 2013

Understanding and Predicting Interestingness of Videos.

Yu-Gang Jiang, Yanran Wang, Rui Feng, Xiangyang Xue, Yingbin Zheng, Hanfang Yang

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Smoothed empirical likelihood for ROC curves with censored data.

Hanfang Yang, Yichuan Zhao

J. Multivar. Anal., 2012