Dehan Kong

36 papers A 1Misc 1Journal 27Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
RIE-Greedy: Regularization-Induced Exploration for Contextual Bandits.
CoRR
Tong Li, Thiago de Queiroz Casanova, Eric M. Schwartz, Victor Kostyuk, Dehan Kong, Joseph Jay Williams
2026 J jnl
WebChain: A Large-Scale Human-Annotated Dataset of Real-World Web Interaction Traces.
CoRR
Sicheng Fan, Rui Wan, Yifei Leng, Gaoning Liang, Li Ling, Yanyi Shang, Dehan Kong
2026 J jnl
WebFactory: Automated Compression of Foundational Language Intelligence into Grounded Web Agents.
CoRR
Sicheng Fan, Qingyun Shi, Shengze Xu, Shengbo Cai, Tieyong Zeng, Li Ling, Yanyi Shang, Dehan Kong
2025 J jnl
Composite likelihood inference for analysis of individual animal identification data.
Ecol. Informatics
Xueli Xu, Xiaoyue Zhang, Hal Whitehead, Dehan Kong, Ximing Xu
2025 J jnl
Simultaneous Estimation of Multiple Treatment Effects from Observational Studies.
J. Comput. Graph. Stat.
Xiaochuan Shi, Dehan Kong, Linbo Wang
2025 J jnl
The BrowserGym Ecosystem for Web Agent Research.
Trans. Mach. Learn. Res.
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, Ori Yoran, Dehan Kong, Frank F. Xu, Siva Reddy, Graham Neubig, Quentin Cappart, Russ Salakhutdinov, Nicolas Chapados
2025 J jnl
Universal Retrieval for Multimodal Trajectory Modeling.
CoRR
Xuan Zhang, Ziyan Jiang, Rui Meng, Yifei Leng, Zhenbang Xiao, Zora Zhiruo Wang, Yanyi Shang, Dehan Kong
2025 J jnl
VenusBench-GD: A Comprehensive Multi-Platform GUI Benchmark for Diverse Grounding Tasks.
CoRR
Beitong Zhou, Zhexiao Huang, Yuan Guo, Zhangxuan Gu, Tianyu Xia, Zichen Luo, Fei Tang, Dehan Kong, Yanyi Shang, Suling Ou, Zhenlin Guo, Changhua Meng, Shuheng Shen
2024 Misc conf
General Phrase Debiaser: Debiasing Masked Language Models at a Multi-Token Level.
ICASSP
Bingkang Shi, Xiaodan Zhang, Dehan Kong, Yulei Wu, Zongzhen Liu, Honglei Lyu, Longtao Huang
2024 J jnl
Modeling single cell trajectory using forward-backward stochastic differential equations.
PLoS Comput. Biol.
Kevin Zhang, Junhao Zhu, Dehan Kong, Zhaolei Zhang
2024 J jnl
Supervised Principal Component Regression for Functional Responses with High Dimensional Predictors.
J. Comput. Graph. Stat.
Xinyi Zhang, Qiang Sun, Dehan Kong
2024 J jnl
The BrowserGym Ecosystem for Web Agent Research.
CoRR
Thibault Le Sellier de Chezelles, Maxime Gasse, Alexandre Drouin, Massimo Caccia, Léo Boisvert, Megh Thakkar, Tom Marty, Rim Assouel, Sahar Omidi Shayegan, Lawrence Keunho Jang, Xing Han Lù, Ori Yoran, Dehan Kong, Frank F. Xu, Siva Reddy, Quentin Cappart, Graham Neubig, Ruslan Salakhutdinov, Nicolas Chapados, Alexandre Lacoste
2024 J jnl
WebCanvas: Benchmarking Web Agents in Online Environments.
CoRR
Yichen Pan, Dehan Kong, Sida Zhou, Cheng Cui, Yifei Leng, Bing Jiang, Hangyu Liu, Yanyi Shang, Shuyan Zhou, Tongshuang Wu, Zhengyang Wu
2023 — conf
Adversarial Text Generation by Search and Learning.
EMNLP (Findings)
Guoyi Li, Bingkang Shi, Zongzhen Liu, Dehan Kong, Yulei Wu, Xiaodan Zhang, Longtao Huang, Honglei Lyu
2023 — conf
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework.
ACL (Findings)
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
2023 J jnl
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework.
CoRR
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
2023 J jnl
General Phrase Debiaser: Debiasing Masked Language Models at a Multi-Token Level.
CoRR
Bingkang Shi, Xiaodan Zhang, Dehan Kong, Yulei Wu, Zongzhen Liu, Honglei Lyu, Longtao Huang
2023 — conf
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning.
ACL (Findings)
Ruixiang Tang, Dehan Kong, Longtao Huang, Hui Xue
2023 J jnl
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning.
CoRR
Ruixiang Tang, Dehan Kong, Longtao Huang, Hui Xue
2023 J jnl
Proportional stochastic generalized Lotka-Volterra model with an application to learning microbial community structures.
Appl. Math. Comput.
Libai Xu, Dehan Kong, Lidan Wang, Hong Gu, Toby Kenney, Ximing Xu
2022 J jnl
Federated learning for computational pathology on gigapixel whole slide images.
Medical Image Anal.
Ming Y. Lu, Richard J. Chen, Dehan Kong, Jana Lipková, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
2022 — conf
Multiple Instance Learning for Offensive Language Detection.
EMNLP (Findings)
Jiexi Liu, Dehan Kong, Longtao Huang, Dinghui Mao, Hui Xue
2022 J jnl
Nonparametric Principal Subspace Regression.
J. Mach. Learn. Res.
Yang Zhou, Mark Koudstaal, Dengdeng Yu, Dehan Kong, Fang Yao
2021 J jnl
Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model.
J. Mach. Learn. Res.
Meiling Hao, Lianqiang Qu, Dehan Kong, Liuquan Sun, Hongtu Zhu
2021 J jnl
Research on Hybrid Index Based on 3D Multi-Level Adaptive Grid and R+ Tree.
IEEE Access
Yongshan Liu, Tianbao Hao, Xiang Gong, Dehan Kong, Jianjun Wang
2020 J jnl
A Voronoi-Based Group Reverse k Farthest Neighbor Query Method in the Obstacle Space.
IEEE Access
Yongshan Liu, Xiang Gong, Dehan Kong, Tianbao Hao, Xiaoqi Yan
2020 J jnl
An Improved Method for NURBS Free-Form Surface Based on Discrete Stationary Wavelet Transform.
IEEE Access
Deming Kong, Xiaoqiang Tian, Dehan Kong, Xiaodan Zhang, Li Yuan
2020 J jnl
An Improved Method for NURBS Surface Based on Particle Swarm Optimization BP Neural Network.
IEEE Access
Xiaoqiang Tian, Lingfu Kong, Deming Kong, Li Yuan, Dehan Kong
2020 J jnl
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images.
CoRR
Ming Y. Lu, Dehan Kong, Jana Lipková, Richard J. Chen, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
2020 J jnl
Matrix Linear Discriminant Analysis.
Technometrics
Wei Hu, Weining Shen, Hua Zhou, Dehan Kong
2019 — conf
Mask Embedding for Realistic High-Resolution Medical Image Synthesis.
MICCAI (6)
Yinhao Ren, Zhe Zhu, Yingzhou Li, Dehan Kong, Rui Hou, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo
2019 — conf
Multiview mammographic mass detection based on a single shot detection system.
Computer-Aided Diagnosis
Yinhao Ren, Rui Hou, Dehan Kong, Yue Geng, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo
2019 — conf
Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network.
Computer-Aided Diagnosis
Dehan Kong, Yinhao Ren, Rui Hou, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo
2018 A conf
Outlier Detection and Robust Estimation in Nonparametric Regression.
AISTATS
Dehan Kong, Howard D. Bondell, Weining Shen
2017 J jnl
FGWAS: Functional genome wide association analysis.
NeuroImage
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
2015 J jnl
Domain selection for the varying coefficient model via local polynomial regression.
Comput. Stat. Data Anal.
Dehan Kong, Howard D. Bondell, Yichao Wu