Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale. - Firas Abuzaid; Joseph K. Bradley; Feynman T. Liang; Andrew Feng; Lee Yang; Matei Zaharia; Ameet Talwalkar (NIPS, 2016)

Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising. - Mihajlo Grbovic; Nemanja Djuric; Vladan Radosavljevic; Fabrizio Silvestri; Ricardo Baeza-Yates; Andrew Feng; Erik Ordentlich; Lee Yang; Gavin Owens (SIGIR, 2016)

Latent Terrain Representations for Trajectory Prediction. - Andrew Feng; Andrew S. Gordon (MOVE++@SIGSPATIAL, 2019)

Privacy-Preserving Federated Brain Tumour Segmentation. - Wenqi Li 001; Fausto Milletarì; Daguang Xu; Nicola Rieke; Jonny Hancox; Wentao Zhu 001; Maximilian Baust; Yan Cheng; Sébastien Ourselin; M. Jorge Cardoso; Andrew Feng (MLMI@MICCAI, 2019)

Recognizing Multiplayer Behaviors Using Synthetic Training Data. - Andrew Feng; Andrew S. Gordon (CoG, 2020)

Fully Automated Photogrammetric Data Segmentation and Object Information Extraction Approach for Creating Simulation Terrain. - Meida Chen; Andrew Feng; Kyle McCullough; Pratusha Bhuvana Prasad; Ryan McAlinden; Lucio Soibelman; Mike Enloe (CoRR, 2020)

Generating synthetic photogrammetric data for training deep learning based 3D point cloud segmentation models. - Meida Chen; Andrew Feng; Kyle McCullough; Pratusha Bhuvana Prasad; Ryan McAlinden; Lucio Soibelman (CoRR, 2020)

Semantic Segmentation and Data Fusion of Microsoft Bing 3D Cities and Small UAV-based Photogrammetric Data. - Meida Chen; Andrew Feng; Kyle McCullough; Pratusha Bhuvana Prasad; Ryan McAlinden; Lucio Soibelman (CoRR, 2020)

Utilizing Satellite Imagery Datasets and Machine Learning Data Models to Evaluate Infrastructure Change in Undeveloped Regions. - Kyle McCullough; Andrew Feng; Meida Chen; Ryan McAlinden (CoRR, 2020)

3D Photogrammetry Point Cloud Segmentation Using a Model Ensembling Framework. - Meida Chen; Andrew Feng; Kyle McCullough; Pratusha Bhuvana Prasad; Ryan McAlinden; Lucio Soibelman (J. Comput. Civ. Eng., 2020)

Ground material classification and for UAV-based photogrammetric 3D data A 2D-3D Hybrid Approach. - Meida Chen; Andrew Feng; Yu Hou; Kyle McCullough; Pratusha Bhuvana Prasad; Lucio Soibelman (CoRR, 2021)

STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset. - Meida Chen; Qingyong Hu; Zifan Yu; Hugues Thomas; Andrew Feng; Yu Hou; Kyle McCullough; Fengbo Ren; Lucio Soibelman (BMVC, 2022)

The DeepMotion entry to the GENEA Challenge 2022. - Shuhong Lu; Andrew Feng (ICMI, 2022)

DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. - Andres Diaz-Pinto; Pritesh Mehta; Sachidanand Alle; Muhammad Asad 001; Richard Brown 004; Vishwesh Nath; Alvin Ihsani; Michela Antonelli; Daniel Palkovics; Csaba Pinter; Ron Alkalay; Steve Pieper 001; et al. (DALI@MICCAI, 2022)

A Tool for Extracting 3D Avatar-Ready Gesture Animations from Monocular Videos. - Andrew Feng; Samuel Shin; Youngwoo Yoon (MIG, 2022)

STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset. - Meida Chen; Qingyong Hu; Hugues Thomas; Andrew Feng; Yu Hou; Kyle McCullough; Lucio Soibelman (CoRR, 2022)

MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images. - Andres Diaz-Pinto; Sachidanand Alle; Alvin Ihsani; Muhammad Asad 001; Vishwesh Nath; Fernando Pérez-García; Pritesh Mehta; Wenqi Li 001; Holger R. Roth; Tom Vercauteren; Daguang Xu; Prerna Dogra; et al. (CoRR, 2022)

MONAI: An open-source framework for deep learning in healthcare. - M. Jorge Cardoso; Wenqi Li 001; Richard Brown 004; Nic Ma; Eric Kerfoot; Yiheng Wang; Benjamin Murray; Andriy Myronenko; Can Zhao 001; Dong Yang 005; Vishwesh Nath; Yufan He; et al. (CoRR, 2022)

Text-to-Motion Synthesis using Discrete Diffusion Model. - Ankur Chemburkar; Shuhong Lu; Andrew Feng (BMVC, 2023)

Searching for the Most Probable Combination of Class Labels Using Etcetera Abduction. - Andrew S. Gordon; Andrew Feng (CISS, 2023)

Discrete Diffusion for Co-Speech Gesture Synthesis. - Ankur Chemburkar; Shuhong Lu; Andrew Feng (ICMI Companion, 2023)

Co-Speech Gesture Synthesis using Discrete Gesture Token Learning. - Shuhong Lu; Youngwoo Yoon; Andrew Feng (IROS, 2023)

Generative AI for Medical Imaging: extending the MONAI Framework. - Walter H. L. Pinaya; Mark S. Graham; Eric Kerfoot; Petru-Daniel Tudosiu; Jessica Dafflon; Virginia Fernandez; Pedro Sanchez; Julia Wolleb; Pedro F. Da Costa; Ashay Patel; Hyungjin Chung; Can Zhao 001; et al. (CoRR, 2023)

NVIDIA FLARE: Federated Learning from Simulation to Real-World. - Holger R. Roth; Yan Cheng; Yuhong Wen; Isaac Yang; Ziyue Xu 001; Yuan-Ting Hsieh; Kristopher Kersten; Ahmed Harouni; Can Zhao 001; Kevin Lu; Zhihong Zhang 001; Wenqi Li 001; et al. (IEEE Data Eng. Bull., 2023)

Do Gradient Inversion Attacks Make Federated Learning Unsafe? - Ali Hatamizadeh; Hongxu Yin; Pavlo Molchanov 001; Andriy Myronenko; Wenqi Li 001; Prerna Dogra; Andrew Feng; Mona G. Flores; Jan Kautz; Daguang Xu; Holger R. Roth (IEEE Trans. Medical Imaging, 2023)

CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation. - Pei Ke; Bosi Wen; Andrew Feng; Xiao Liu 036; Xuanyu Lei; Jiale Cheng; Shengyuan Wang 002; Aohan Zeng; Yuxiao Dong; Hongning Wang; Jie Tang 001; Minlie Huang (ACL (1), 2024)

AlignBench: Benchmarking Chinese Alignment of Large Language Models. - Xiao Liu 036; Xuanyu Lei; Shengyuan Wang 002; Yue Huang 001; Andrew Feng; Bosi Wen; Jiale Cheng; Pei Ke; Yifan Xu; Weng Lam Tam; Xiaohan Zhang; Lichao Sun 001; et al. (ACL (1), 2024)

AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Field. - Rong Liu; Rui Xu; Yue Hu; Meida Chen; Andrew Feng (BMVC, 2024)

Combining the Predictions of Out-of-Domain Classifiers Using Etcetera Abduction. - Andrew S. Gordon; Andrew Feng (CISS, 2024)

Evaluating Vision-Language Models on the TriangleCOPA Benchmark. - Ankur Chemburkar; Andrew S. Gordon; Andrew Feng (FLAIRS, 2024)

Lazy Resampling: Fast and information preserving preprocessing for deep learning. - Benjamin Murray; Richard Brown 004; Pengcheng Ma; Eric Kerfoot; Daguang Xu; Andrew Feng; Jorge Cardoso 002; Sébastien Ourselin; Marc Modat (Comput. Methods Programs Biomed., 2024)

Empowering Federated Learning for Massive Models with NVIDIA FLARE. - Holger R. Roth; Ziyue Xu 001; Yuan-Ting Hsieh; Adithya Renduchintala; Isaac Yang; Zhihong Zhang 001; Yuhong Wen; Sean Yang; Kevin Lu; Kristopher Kersten; Camir Ricketts; Daguang Xu; et al. (CoRR, 2024)

Supercharging Federated Learning with Flower and NVIDIA FLARE. - Holger R. Roth; Daniel J. Beutel; Yan Cheng; Javier Fernández-Marqués; Heng Pan; Chester Chen; Zhihong Zhang 001; Yuhong Wen; Sean Yang; Isaac Yang; Yuan-Ting Hsieh; Ziyue Xu 001; et al. (CoRR, 2024)

Open-Vocabulary High-Resolution 3D (OVHR3D) Data Segmentation and Annotation Framework. - Jiuyi Xu; Meida Chen; Andrew Feng; Zifan Yu; Yangming Shi (CoRR, 2024)

C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System. - Parker Addison; Minh-Tuan H. Nguyen; Tomislav Medan; Jinali Shah; Mohammad T. Manzari; Brendan McElrone; Laksh Lalwani; Aboli More; Smita Sharma; Holger R. Roth; Isaac Yang; Chester Chen; et al. (CoRR, 2024)

MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images. - Andres Diaz-Pinto; Sachidanand Alle; Vishwesh Nath; Yucheng Tang; Alvin Ihsani; Muhammad Asad 001; Fernando Pérez-García; Pritesh Mehta; Wenqi Li 001; Mona Flores; Holger R. Roth; Tom Vercauteren; et al. (Medical Image Anal., 2024)

An Aerial Photogrammetry Benchmark Dataset for Point Cloud Segmentation and Style Translation. - Meida Chen; Kangle Han; Zifan Yu; Andrew Feng; Yu Hou; Suya You; Lucio Soibelman (Remote. Sens., 2024)

Geometry-Aware Feature Matching for Large-Scale Structure from Motion. - Gonglin Chen; Jinsen Wu; Haiwei Chen; Wenbin Teng; Zhiyuan Gao; Andrew Feng; Rongjun Qin; Yajie Zhao (3DV, 2025)

Skyeyes: Ground Roaming using Aerial View Images. - Zhiyuan Gao; Wenbin Teng; Gonglin Chen; Jinsen Wu; Ningli Xu; Rongjun Qin; Andrew Feng; Yajie Zhao (WACV, 2025)

Deformable Beta Splatting. - Rong Liu; Dylan Sun 001; Meida Chen; Yue Wang; Andrew Feng (CoRR, 2025)

PromptGAR: Flexible Promptive Group Activity Recognition. - Zhangyu Jin; Andrew Feng; Ankur Chemburkar; Celso M. de Melo (CoRR, 2025)

Secure Federated XGBoost with CUDA-accelerated Homomorphic Encryption via NVIDIA FLARE. - Ziyue Xu 001; Yuan-Ting Hsieh; Zhihong Zhang 001; Holger R. Roth; Chester Chen; Yan Cheng; Andrew Feng (CoRR, 2025)

SplatMAP: Online Dense Monocular SLAM with 3D Gaussian Splatting. - Yue Hu; Rong Liu; Meida Chen; Peter A. Beerel; Andrew Feng (Proc. ACM Comput. Graph. Interact. Tech., 2025)

Splat Feature Solver. - Butian Xiong; Rong Liu; Kenneth Xu; Meida Chen; Andrew Feng (CoRR, 2025)