Dehan Kong

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 25

Top Topics

Association Analysis

Polynomial Regression

Linear Discriminant

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

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 (2024)
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)
Xinyi Zhang, Qiang Sun, Dehan Kong
Supervised Principal Component Regression for Functional Responses with High Dimensional Predictors. J. Comput. Graph. Stat. 33 (1) (2024)
Ruixiang Tang, Dehan Kong, Longtao Huang, Hui Xue
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning. ACL (Findings) (2023)
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 (2023)
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 (2023)
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 (2023)
Ruixiang Tang, Dehan Kong, Longtao Huang, Hui Xue
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning. CoRR (2023)
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)
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)
Jiexi Liu, Dehan Kong, Longtao Huang, Dinghui Mao, Hui Xue
Multiple Instance Learning for Offensive Language Detection. EMNLP (Findings) (2022)
Yang Zhou, Mark Koudstaal, Dengdeng Yu, Dehan Kong, Fang Yao
Nonparametric Principal Subspace Regression. J. Mach. Learn. Res. 23 (2022)
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 (2022)
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 (2021)
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 (2021)
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 (2020)
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 (2020)
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 (2020)
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 (2020)
Wei Hu, Weining Shen, Hua Zhou, Dehan Kong
Matrix Linear Discriminant Analysis. Technometrics 62 (2) (2020)
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)
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)
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)
Dehan Kong, Howard D. Bondell, Weining Shen
Outlier Detection and Robust Estimation in Nonparametric Regression. AISTATS (2018)
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 (2017)
Dehan Kong, Howard D. Bondell, Yichao Wu
Domain selection for the varying coefficient model via local polynomial regression. Comput. Stat. Data Anal. 83 (2015)