High performance declarative memory systems through MapReduce. - Mark Edmonds; Tanvir Atahary; Tarek M. Taha; Scott A. Douglass (SNPD, 2015)

Feeling the force: Integrating force and pose for fluent discovery through imitation learning to open medicine bottles. - Mark Edmonds; Feng Gao 013; Xu Xie 001; Hangxin Liu; Siyuan Qi; Yixin Zhu 001; Brandon Rothrock; Song-Chun Zhu (IROS, 2017)

A glove-based system for studying hand-object manipulation via joint pose and force sensing. - Hangxin Liu; Xu Xie 001; Matt Millar; Mark Edmonds; Feng Gao 013; Yixin Zhu 001; Veronica J. Santos; Brandon Rothrock; Song-Chun Zhu (IROS, 2017)

Interactively Transferring CNN Patterns for Part Localization. - Quanshi Zhang; Ruiming Cao; Shengming Zhang; Mark Edmonds; Ying Nian Wu; Song-Chun Zhu (CoRR, 2017)

Learning Complex Functional Manipulations by Human Demonstration and Fluent Discovery. - Mark Edmonds (2017)

Human Causal Transfer: Challenges for Deep Reinforcement Learning. - Mark Edmonds; James Kubricht; Colin Summers; Yixin Zhu 001; Brandon Rothrock; Song-Chun Zhu; Hongjing Lu (CogSci, 2018)

Unsupervised Learning of Hierarchical Models for Hand-Object Interactions. - Xu Xie 001; Hangxin Liu; Mark Edmonds; Feng Gao 013; Siyuan Qi; Yixin Zhu 001; Brandon Rothrock; Song-Chun Zhu (ICRA, 2018)

Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning. - Mark Edmonds; Siyuan Qi; Yixin Zhu 001; James Kubricht; Song-Chun Zhu; Hongjing Lu (CogSci, 2019)

Exploring corporate governance research in accounting journals through latent semantic and topic analyses. - Ferhat D. Zengul; James D. Byrd Jr.; Nurettin Oner; Mark Edmonds; Arline Savage (Intell. Syst. Account. Finance Manag., 2019)

A tale of two explanations: Enhancing human trust by explaining robot behavior. - Mark Edmonds; Feng Gao 013; Hangxin Liu; Xu Xie 001; Siyuan Qi; Brandon Rothrock; Yixin Zhu 001; Ying Nian Wu; Hongjing Lu; Song-Chun Zhu (Sci. Robotics, 2019)

Hardware Accelerated Semantic Declarative Memory Systems through CUDA and MapReduce. - Mark Edmonds; Tanvir Atahary; Scott Douglass; Tarek M. Taha (IEEE Trans. Parallel Distributed Syst., 2019)

Theory-Based Causal Transfer: Integrating Instance-Level Induction and Abstract-Level Structure Learning. - Mark Edmonds; Xiaojian Ma 001; Siyuan Qi; Yixin Zhu 001; Hongjing Lu; Song-Chun Zhu (AAAI, 2020)

Actional-Perceptual Causality: Concepts and Inductive Learning for AI and Robotics. - Seng-Beng Ho; Mark Edmonds; Song-Chun Zhu (SSCI, 2020)

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense. - Yixin Zhu 001; Tao Gao 004; Lifeng Fan; Siyuan Huang 001; Mark Edmonds; Hangxin Liu; Feng Gao 013; Chi Zhang 017; Siyuan Qi; Ying Nian Wu; Joshua B. Tenenbaum; Song-Chun Zhu (CoRR, 2020)

ACRE: Abstract Causal REasoning Beyond Covariation. - Chi Zhang 017; Baoxiong Jia; Mark Edmonds; Song-Chun Zhu; Yixin Zhu 001 (CVPR, 2021)

In situ bidirectional human-robot value alignment. - Luyao Yuan; Xiaofeng Gao 002; Zilong Zheng; Mark Edmonds; Ying Nian Wu; Federico Rossano; Hongjing Lu; Yixin Zhu 001; Song-Chun Zhu (Sci. Robotics, 2022)

DriveGPT: Scaling Autoregressive Behavior Models for Driving. - Xin Huang; Eric M. Wolff; Paul Vernaza; Tung Phan-Minh; Hongge Chen; David S. Hayden; Mark Edmonds; Brian Pierce; Xinxin Chen; Pratik Elias Jacob; Xiaobai Chen; Chingiz Tairbekov; et al. (CoRR, 2024)