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2020 – today
- 2024
[j12]Yuheng Ma, Hanfang Yang:
Optimal Locally Private Nonparametric Classification with Public Data. J. Mach. Learn. Res. 25: 167:1-167:62 (2024)- [c10]Yuheng Ma, Ke Jia, Hanfang Yang:
Better Locally Private Sparse Estimation Given Multiple Samples Per User. ICML 2024 - [i11]Yuheng Ma, Ke Jia, Hanfang Yang:
Locally Private Estimation with Public Features. CoRR abs/2405.13481 (2024) - [i10]Han Zhang, Yuheng Ma, Hanfang Yang:
ALTER: Augmentation for Large-Table-Based Reasoning. CoRR abs/2407.03061 (2024) - [i9]Yuheng Ma, Ke Jia, Hanfang Yang:
Better Locally Private Sparse Estimation Given Multiple Samples Per User. CoRR abs/2408.04313 (2024) - [i8]Yiwei Dong, Tingjin Chu, Lele Zhang, Hadi Ghaderi, Hanfang Yang:
Pedestrian Volume Prediction Using a Diffusion Convolutional Gated Recurrent Unit Model. CoRR abs/2411.03360 (2024) - [i7]Yiwei Dong, Shaoxin Ye, Yuwen Cao, Qiyu Han, Hongteng Xu, Hanfang Yang:
A Bayesian Mixture Model of Temporal Point Processes with Determinantal Point Process Prior. CoRR abs/2411.04397 (2024) - 2023
- [c9]Yuchao Cai, Yuheng Ma, Yiwei Dong, Hanfang Yang:
Extrapolated Random Tree for Regression. ICML 2023: 3442-3468 - [c8]Yuheng Ma, Han Zhang, Yuchao Cai, Hanfang Yang:
Decision Tree for Locally Private Estimation with Public Data. NeurIPS 2023 - [i6]Yuheng Ma, Hanfang Yang:
Optimal Locally Private Nonparametric Classification with Public Data. CoRR abs/2311.11369 (2023) - [i5]Yuchao Cai, Yuheng Ma, Hanfang Yang, Hanyuan Hang:
Bagged Regularized k-Distances for Anomaly Detection. CoRR abs/2312.01046 (2023) - 2022
- [j11]Hanyuan Hang, Yuchao Cai, Hanfang Yang, Zhouchen Lin:
Under-bagging Nearest Neighbors for Imbalanced Classification. J. Mach. Learn. Res. 23: 118:1-118:63 (2022) - [c7]Qiwei Bi, Jian Li, Lifeng Shang, Xin Jiang, Qun Liu, Hanfang Yang:
MTRec: Multi-Task Learning over BERT for News Recommendation. ACL (Findings) 2022: 2663-2669 - [c6]Haoyu Liu, Yang Liu, Xingrui Wang
, Hanfang Yang:
Exploring Coarse-grained Pre-guided Attention to Assist Fine-grained Attention Reinforcement Learning Agents. IJCNN 2022: 1-7 - 2021
- [j10]Haoyu Liu, Xianwen He, Yanbing Bai, Xing Liu, Yilin Wu, Yanyun Zhao, Hanfang Yang:
Nightlight as a Proxy of Economic Indicators: Fine-Grained GDP Inference Around Mainland China via Attention-Augmented CNN from Daytime Satellite Imagery. Remote. Sens. 13(11): 2067 (2021) - [j9]Yanbing Bai, Wenqi Wu, Zhengxin Yang, Jinze Yu, Bo Zhao, Xing Liu, Hanfang Yang, Erick Mas, Shunichi Koshimura:
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. Remote. Sens. 13(11): 2220 (2021) - [j8]Haoyu Liu, Xianwen He, Yanbing Bai, Xing Liu, Yilin Wu, Yanyun Zhao, Hanfang Yang:
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. Remote. Sens. 13(17): 3360 (2021) - [c5]Qiwei Bi, Haoyuan Li, Hanfang Yang:
Boosting Few-shot Abstractive Summarization with Auxiliary Tasks. CIKM 2021: 2888-2893 - [i4]Hanyuan Hang, Tao Huang, Yuchao Cai, Hanfang Yang, Zhouchen Lin:
Gradient Boosted Binary Histogram Ensemble for Large-scale Regression. CoRR abs/2106.01986 (2021) - [i3]Hanyuan Hang, Yuchao Cai, Hanfang Yang, Zhouchen Lin:
Under-bagging Nearest Neighbors for Imbalanced Classification. CoRR abs/2109.00531 (2021) - [i2]Qiwei Bi, Haoyuan Li, Kun Lu, Hanfang Yang:
Augmented Abstractive Summarization With Document-LevelSemantic Graph. CoRR abs/2109.06046 (2021) - 2020
- [j7]Yichuan Zhao, Yueju Su, Hanfang Yang:
Jackknife empirical likelihood inference for the Pietra ratio. Comput. Stat. Data Anal. 152: 107049 (2020) - [j6]Jinhua Su, Yanbing Bai, Xingrui Wang, Dong Lu, Bo Zhao, Hanfang Yang, Erick Mas, Shunichi Koshimura:
Technical Solution Discussion for Key Challenges of Operational Convolutional Neural Network-Based Building-Damage Assessment from Satellite Imagery: Perspective from Benchmark xBD Dataset. Remote. Sens. 12(22): 3808 (2020) - [c4]Yuchao Cai, Hanyuan Hang, Hanfang Yang, Zhouchen Lin:
Boosted Histogram Transform for Regression. ICML 2020: 1251-1261
2010 – 2019
- 2019
- [i1]Hanyuan Hang, Yuchao Cai, Hanfang Yang:
Density-based Clustering with Best-scored Random Forest. CoRR abs/1906.10094 (2019) - 2018
- [j5]Hanfang Yang, Yichuan Zhao:
Smoothed jackknife empirical likelihood for the one-sample difference of quantiles. Comput. Stat. Data Anal. 120: 58-69 (2018) - [c3]Hanfang Yang, Xiangdong Zhou, Lan Lin, Bo Yao, Zijing Tan, Haocheng Tang, Yingjie Tian:
Deep Sparse Informative Transfer SoftMax for Cross-Domain Image Classification. DASFAA (2) 2018: 622-637 - 2015
- [j4]Yichuan Zhao, Xueping Meng, Hanfang Yang:
Jackknife empirical likelihood inference for the mean absolute deviation. Comput. Stat. Data Anal. 91: 92-101 (2015) - [j3]Hanfang Yang, Yichuan Zhao:
Smoothed jackknife empirical likelihood inference for ROC curves with missing data. J. Multivar. Anal. 140: 123-138 (2015) - [c2]Guangtang Zhu, Hanfang Yang, Lan Lin, Guichun Zhou, Xiangdong Zhou:
An Informative Logistic Regression for Cross-Domain Image Classification. ICVS 2015: 147-156 - 2013
- [j2]Hanfang Yang, Yichuan Zhao:
Smoothed jackknife empirical likelihood inference for the difference of ROC curves. J. Multivar. Anal. 115: 270-284 (2013) - [c1]Yu-Gang Jiang, Yanran Wang, Rui Feng, Xiangyang Xue, Yingbin Zheng, Hanfang Yang:
Understanding and Predicting Interestingness of Videos. AAAI 2013: 1113-1119 - 2012
- [j1]Hanfang Yang, Yichuan Zhao:
Smoothed empirical likelihood for ROC curves with censored data. J. Multivar. Anal. 109: 254-263 (2012)
Coauthor Index
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