Dehan Kong

According to our database, Dehan Kong authored at least 23 papers between 2015 and 2024.

Collaborative distances:

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

2024

Modeling single cell trajectory using forward-backward stochastic differential equations.

Kevin Zhang, Junhao Zhu, Dehan Kong, Zhaolei Zhang

PLoS Comput. Biol., 2024

Supervised Principal Component Regression for Functional Responses with High Dimensional Predictors.

Xinyi Zhang, Qiang Sun, Dehan Kong

J. Comput. Graph. Stat., 2024

WebCanvas: Benchmarking Web Agents in Online Environments.

Yichen Pan, Dehan Kong, Sida Zhou, Cheng Cui, Yifei Leng, Bing Jiang, Hangyu Liu, Yanyi Shang, Shuyan Zhou, Tongshuang Wu, Zhengyang Wu

CoRR, 2024

General Phrase Debiaser: Debiasing Masked Language Models at a Multi-Token Level.

Bingkang Shi, Xiaodan Zhang, Dehan Kong, Yulei Wu, Zongzhen Liu, Honglei Lyu, Longtao Huang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Proportional stochastic generalized Lotka-Volterra model with an application to learning microbial community structures.

Libai Xu, Dehan Kong, Lidan Wang, Hong Gu, Toby Kenney, Ximing Xu

Appl. Math. Comput., July, 2023

Adversarial Text Generation by Search and Learning.

Guoyi Li, Bingkang Shi, Zongzhen Liu, Dehan Kong, Yulei Wu, Xiaodan Zhang, Longtao Huang, Honglei Lyu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning.

Ruixiang Tang, Dehan Kong, Longtao Huang, Hui Xue

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework.

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Federated learning for computational pathology on gigapixel whole slide images.

Ming Y. Lu, Richard J. Chen, Dehan Kong, Jana Lipková, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood

Medical Image Anal., 2022

Nonparametric Principal Subspace Regression.

Yang Zhou, Mark Koudstaal, Dengdeng Yu, Dehan Kong, Fang Yao

J. Mach. Learn. Res., 2022

Multiple Instance Learning for Offensive Language Detection.

Jiexi Liu, Dehan Kong, Longtao Huang, Dinghui Mao, Hui Xue

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

2021

Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model.

Meiling Hao, Lianqiang Qu, Dehan Kong, Liuquan Sun, Hongtu Zhu

J. Mach. Learn. Res., 2021

Research on Hybrid Index Based on 3D Multi-Level Adaptive Grid and R+ Tree.

Yongshan Liu, Tianbao Hao, Xiang Gong, Dehan Kong, Jianjun Wang

IEEE Access, 2021

2020

Matrix Linear Discriminant Analysis.

Wei Hu, Weining Shen, Hua Zhou, Dehan Kong

Technometrics, 2020

An Improved Method for NURBS Surface Based on Particle Swarm Optimization BP Neural Network.

Xiaoqiang Tian, Lingfu Kong, Deming Kong, Li Yuan, Dehan Kong

IEEE Access, 2020

A Voronoi-Based Group Reverse k Farthest Neighbor Query Method in the Obstacle Space.

Yongshan Liu, Xiang Gong, Dehan Kong, Tianbao Hao, Xiaoqi Yan

IEEE Access, 2020

An Improved Method for NURBS Free-Form Surface Based on Discrete Stationary Wavelet Transform.

Deming Kong, Xiaoqiang Tian, Dehan Kong, Xiaodan Zhang, Li Yuan

IEEE Access, 2020

2019

Mask Embedding for Realistic High-Resolution Medical Image Synthesis.

Yinhao Ren, Zhe Zhu, Yingzhou Li, Dehan Kong, Rui Hou, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multiview mammographic mass detection based on a single shot detection system.

Yinhao Ren, Rui Hou, Dehan Kong, Yue Geng, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network.

Dehan Kong, Yinhao Ren, Rui Hou, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

2018

Outlier Detection and Robust Estimation in Nonparametric Regression.

Dehan Kong, Howard D. Bondell, Weining Shen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

FGWAS: Functional genome wide association analysis.

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

NeuroImage, 2017

2015

Domain selection for the varying coefficient model via local polynomial regression.

Dehan Kong, Howard D. Bondell, Yichao Wu

Comput. Stat. Data Anal., 2015