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2020 – today
- 2024
[j12]Xinyi Zhang, Qiang Sun, Dehan Kong:
Supervised Principal Component Regression for Functional Responses with High Dimensional Predictors. J. Comput. Graph. Stat. 33(1): 242-249 (2024)- [c9]Bingkang Shi, Xiaodan Zhang, Dehan Kong, Yulei Wu, Zongzhen Liu, Honglei Lyu, Longtao Huang:
General Phrase Debiaser: Debiasing Masked Language Models at a Multi-Token Level. ICASSP 2024: 6345-6349 - [i5]Yichen Pan, Dehan Kong, Sida Zhou, Cheng Cui, Yifei Leng, Bing Jiang, Hangyu Liu, Yanyi Shang, Shuyan Zhou, Tongshuang Wu, Zhengyang Wu:
WebCanvas: Benchmarking Web Agents in Online Environments. CoRR abs/2406.12373 (2024) - 2023
- [j11]Libai Xu
, Dehan Kong, Lidan Wang, Hong Gu, Toby Kenney, Ximing Xu:
Proportional stochastic generalized Lotka-Volterra model with an application to learning microbial community structures. Appl. Math. Comput. 448: 127932 (2023) - [c8]Ruixiang Tang, Dehan Kong, Longtao Huang, Hui Xue:
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning. ACL (Findings) 2023: 4645-4657 - [c7]Yangyi Chen, Hongcheng Gao, Ganqu Cui, Lifan Yuan, Dehan Kong, Hanlu Wu, Ning Shi, Bo Yuan, Longtao Huang, Hui Xue, Zhiyuan Liu, Maosong Sun, Heng Ji:
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. ACL (Findings) 2023: 9607-9632 - [c6]Guoyi Li, Bingkang Shi, Zongzhen Liu, Dehan Kong, Yulei Wu, Xiaodan Zhang, Longtao Huang, Honglei Lyu:
Adversarial Text Generation by Search and Learning. EMNLP (Findings) 2023: 15722-15738 - [i4]Ruixiang Tang, Dehan Kong, Longtao Huang, Hui Xue:
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning. CoRR abs/2305.17256 (2023) - [i3]Yangyi Chen, Hongcheng Gao, Ganqu Cui, Lifan Yuan, Dehan Kong, Hanlu Wu, Ning Shi, Bo Yuan, Longtao Huang, Hui Xue, Zhiyuan Liu, Maosong Sun, Heng Ji:
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. CoRR abs/2305.18503 (2023) - [i2]Bingkang Shi, Xiaodan Zhang, Dehan Kong, Yulei Wu, Zongzhen Liu, Honglei Lyu, Longtao Huang:
General Phrase Debiaser: Debiasing Masked Language Models at a Multi-Token Level. CoRR abs/2311.13892 (2023) - 2022
- [j10]Yang Zhou, Mark Koudstaal, Dengdeng Yu, Dehan Kong, Fang Yao:
Nonparametric Principal Subspace Regression. J. Mach. Learn. Res. 23: 237:1-237:28 (2022) - [j9]Ming Y. Lu, Richard J. Chen, Dehan Kong, Jana Lipková, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood:
Federated learning for computational pathology on gigapixel whole slide images. Medical Image Anal. 76: 102298 (2022) - [c5]Jiexi Liu, Dehan Kong, Longtao Huang, Dinghui Mao, Hui Xue:
Multiple Instance Learning for Offensive Language Detection. EMNLP (Findings) 2022: 7387-7396 - 2021
- [j8]Yongshan Liu, Tianbao Hao, Xiang Gong, Dehan Kong, Jianjun Wang:
Research on Hybrid Index Based on 3D Multi-Level Adaptive Grid and R+ Tree. IEEE Access 9: 146010-146022 (2021) - [j7]Meiling Hao, Lianqiang Qu, Dehan Kong, Liuquan Sun, Hongtu Zhu:
Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model. J. Mach. Learn. Res. 22: 147:1-147:39 (2021) - 2020
- [j6]Yongshan Liu, Xiang Gong, Dehan Kong, Tianbao Hao, Xiaoqi Yan:
A Voronoi-Based Group Reverse k Farthest Neighbor Query Method in the Obstacle Space. IEEE Access 8: 50659-50673 (2020) - [j5]Deming Kong, Xiaoqiang Tian, Dehan Kong, Xiaodan Zhang, Li Yuan:
An Improved Method for NURBS Free-Form Surface Based on Discrete Stationary Wavelet Transform. IEEE Access 8: 67015-67023 (2020) - [j4]Xiaoqiang Tian, Lingfu Kong, Deming Kong, Li Yuan, Dehan Kong:
An Improved Method for NURBS Surface Based on Particle Swarm Optimization BP Neural Network. IEEE Access 8: 184656-184663 (2020) - [j3]Wei Hu, Weining Shen, Hua Zhou, Dehan Kong:
Matrix Linear Discriminant Analysis. Technometrics 62(2): 196-205 (2020) - [i1]Ming Y. Lu, Dehan Kong, Jana Lipková, Richard J. Chen, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood:
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images. CoRR abs/2009.10190 (2020)
2010 – 2019
- 2019
- [c4]Yinhao Ren, Rui Hou, Dehan Kong, Yue Geng, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo:
Multiview mammographic mass detection based on a single shot detection system. Medical Imaging: Computer-Aided Diagnosis 2019: 109500E - [c3]Dehan Kong, Yinhao Ren, Rui Hou, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo:
Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network. Medical Imaging: Computer-Aided Diagnosis 2019: 109502M - [c2]Yinhao Ren, Zhe Zhu, Yingzhou Li, Dehan Kong, Rui Hou, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo:
Mask Embedding for Realistic High-Resolution Medical Image Synthesis. MICCAI (6) 2019: 422-430 - 2018
- [c1]Dehan Kong, Howard D. Bondell, Weining Shen:
Outlier Detection and Robust Estimation in Nonparametric Regression. AISTATS 2018: 208-216 - 2017
- [j2]Chao Huang, Paul M. Thompson, Yalin Wang, Yang Yu, Jingwen Zhang, Dehan Kong, Rivka R. Colen, Rebecca C. Knickmeyer, Hongtu Zhu, Alzheimer's Disease Neuroimaging Initiative:
FGWAS: Functional genome wide association analysis. NeuroImage 159: 107-121 (2017) - 2015
- [j1]Dehan Kong, Howard D. Bondell, Yichao Wu:
Domain selection for the varying coefficient model via local polynomial regression. Comput. Stat. Data Anal. 83: 236-250 (2015)
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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