Domain selection for the varying coefficient model via local polynomial regression. - Dehan Kong; Howard D. Bondell; Yichao Wu (Comput. Stat. Data Anal., 2015)

FGWAS: Functional genome wide association analysis. - Chao Huang 005; Paul M. Thompson; Yalin Wang 001; Yang Yu 053; Jingwen Zhang; Dehan Kong; Rivka R. Colen; Rebecca C. Knickmeyer; Hongtu Zhu; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2017)

Outlier Detection and Robust Estimation in Nonparametric Regression. - Dehan Kong; Howard D. Bondell; Weining Shen (AISTATS, 2018)

Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network. - Dehan Kong; Yinhao Ren; Rui Hou 002; Lars J. Grimm; Jeffrey R. Marks; Joseph Y. Lo (Computer-Aided Diagnosis, 2019)

Multiview mammographic mass detection based on a single shot detection system. - Yinhao Ren; Rui Hou 002; Dehan Kong; Yue Geng; Lars J. Grimm; Jeffrey R. Marks; Joseph Y. Lo (Computer-Aided Diagnosis, 2019)

Mask Embedding for Realistic High-Resolution Medical Image Synthesis. - Yinhao Ren; Zhe Zhu; Yingzhou Li; Dehan Kong; Rui Hou 002; Lars J. Grimm; Jeffrey R. Marks; Joseph Y. Lo (MICCAI (6), 2019)

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)

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 Surface Based on Particle Swarm Optimization BP Neural Network. - Xiaoqiang Tian; Lingfu Kong; Deming Kong; Li Yuan; Dehan Kong (IEEE Access, 2020)

Matrix Linear Discriminant Analysis. - Wei Hu; Weining Shen; Hua Zhou 001; Dehan Kong (Technometrics, 2020)

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)

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)

Multiple Instance Learning for Offensive Language Detection. - Jiexi Liu 005; Dehan Kong; Longtao Huang; Dinghui Mao; Hui Xue 001 (EMNLP (Findings), 2022)

Nonparametric Principal Subspace Regression. - Yang Zhou; Mark Koudstaal; Dengdeng Yu; Dehan Kong; Fang Yao (J. Mach. Learn. Res., 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 001 (Medical Image Anal., 2022)

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 001; Zhiyuan Liu 001; Maosong Sun 001; et al. (ACL (Findings), 2023)

Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning. - Ruixiang Tang; Dehan Kong; Longtao Huang; Hui Xue 001 (ACL (Findings), 2023)

Adversarial Text Generation by Search and Learning. - Guoyi Li; Bingkang Shi; Zongzhen Liu; Dehan Kong; Yulei Wu; Xiaodan Zhang 004; Longtao Huang; Honglei Lyu (EMNLP (Findings), 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 002 (Appl. Math. Comput., 2023)

General Phrase Debiaser: Debiasing Masked Language Models at a Multi-Token Level. - Bingkang Shi; Xiaodan Zhang 004; Dehan Kong; Yulei Wu; Zongzhen Liu; Honglei Lyu; Longtao Huang (ICASSP, 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)

Supervised Principal Component Regression for Functional Responses with High Dimensional Predictors. - Xinyi Zhang; Qiang Sun; Dehan Kong (J. Comput. Graph. Stat., 2024)

Modeling single cell trajectory using forward-backward stochastic differential equations. - Kevin Zhang; Junhao Zhu; Dehan Kong; Zhaolei Zhang (PLoS Comput. Biol., 2024)

Composite likelihood inference for analysis of individual animal identification data. - Xueli Xu; Xiaoyue Zhang; Hal Whitehead; Dehan Kong; Ximing Xu (Ecol. Informatics, 2025)

The BrowserGym Ecosystem for Web Agent Research. - Thibault Le Sellier de Chezelles; Maxime Gasse; Alexandre Lacoste; Massimo Caccia; Alexandre Drouin; Léo Boisvert; Megh Thakkar; Tom Marty; Rim Assouel; Sahar Omidi Shayegan; Lawrence Keunho Jang; Xing Han Lù; et al. (Trans. Mach. Learn. Res., 2025)

Universal Retrieval for Multimodal Trajectory Modeling. - Xuan Zhang; Ziyan Jiang; Rui Meng; Yifei Leng; Zhenbang Xiao; Zora Zhiruo Wang; Yanyi Shang; Dehan Kong (CoRR, 2025)