Andrew Feng - RankMe

65 papers A* 1A 5B 1C 2Misc 3Journal 42Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	NanoGS: Training-Free Gaussian Splat Simplification. CoRR Butian Xiong, Rong Liu, Tiantian Zhou, Meida Chen, Zhiwen Fan, Andrew Feng
2026	J	`jnl`	NeVStereo: A NeRF-Driven NVS-Stereo Architecture for High-Fidelity 3D Tasks. CoRR Pengcheng Chen, Yue Hu, Wenhao Li, Nicole Gunderson, Andrew Feng, Zhenglong Sun, Peter A. Beerel, Eric J. Seibel
2026	J	`jnl`	Privacy-Preserving Federated Fraud Detection in Payment Transactions with NVIDIA FLARE. CoRR Holger R. Roth, Sarthak Tickoo, Mayank Kumar, Isaac Yang, Andrew Liu, Amit Varshney, Sayani Kundu, Iustina Vintila, Peter Madsgaard, Juraj Milcak, Chester Chen, Yan Cheng, Andrew Feng, Jeff Savio, Vikram Singh, Craig Stancill, Gloria Wan, Evan Powell, Anwar Ul Haq, Sudhir Upadhyay, Jisoo Lee
2025	—	`conf`	Deformable Beta Splatting. SIGGRAPH (Conference Paper Track) Rong Liu, Dylan Sun, Meida Chen, Yue Wang, Andrew Feng
2025	J	`jnl`	Deformable Beta Splatting. CoRR Rong Liu, Dylan Sun, Meida Chen, Yue Wang, Andrew Feng
2025	—	`conf`	Geometry-Aware Feature Matching for Large-Scale Structure from Motion. 3DV Gonglin Chen, Jinsen Wu, Haiwei Chen, Wenbin Teng, Zhiyuan Gao, Andrew Feng, Rongjun Qin, Yajie Zhao
2025	J	`jnl`	IDU: Incremental Dynamic Update of Existing 3D Virtual Environments with New Imagery Data. CoRR Meida Chen, Luis Leal, Yue Hu, Rong Liu, Butian Xiong, Andrew Feng, Jiuyi Xu, Yangming Shi
2025	J	`jnl`	LowDiff: Efficient Diffusion Sampling with Low-Resolution Condition. CoRR Jiuyi Xu, Qing Jin, Meida Chen, Andrew Feng, Yang Sui, Yangming Shi
2025	—	`conf`	Optimizing Federated Learning in the Era of LLMs: Message Quantization and Streaming. FLLM Ziyue Xu, Zhihong Zhang, Holger R. Roth, Chester Chen, Yan Cheng, Andrew Feng
2025	J	`jnl`	Optimizing Federated Learning in the Era of LLMs: Message Quantization and Streaming. CoRR Ziyue Xu, Zhihong Zhang, Holger R. Roth, Chester Chen, Yan Cheng, Andrew Feng
2025	J	`jnl`	PromptGAR: Flexible Promptive Group Activity Recognition. CoRR Zhangyu Jin, Andrew Feng, Ankur Chemburkar, Celso M. de Melo
2025	J	`jnl`	SAT-SKYLINES: 3D Building Generation from Satellite Imagery and Coarse Geometric Priors. CoRR Zhangyu Jin, Andrew Feng
2025	—	`conf`	Secure Federated XGBoost with CUDA-Accelerated Homomorphic Encryption via NVIDIA FLARE. CAI Ziyue Xu, Yuan-Ting Hsieh, Zhihong Zhang, Holger R. Roth, Chester Chen, Yan Cheng, Andrew Feng
2025	J	`jnl`	Secure Federated XGBoost with CUDA-accelerated Homomorphic Encryption via NVIDIA FLARE. CoRR Ziyue Xu, Yuan-Ting Hsieh, Zhihong Zhang, Holger R. Roth, Chester Chen, Yan Cheng, Andrew Feng
2025	A	`conf`	Skyeyes: Ground Roaming using Aerial View Images. WACV Zhiyuan Gao, Wenbin Teng, Gonglin Chen, Jinsen Wu, Ningli Xu, Rongjun Qin, Andrew Feng, Yajie Zhao
2025	J	`jnl`	Splat Feature Solver. CoRR Butian Xiong, Rong Liu, Kenneth Xu, Meida Chen, Andrew Feng
2025	J	`jnl`	SplatMAP: Online Dense Monocular SLAM with 3D Gaussian Splatting. CoRR Yue Hu, Rong Liu, Meida Chen, Peter A. Beerel, Andrew Feng
2025	J	`jnl`	SplatMAP: Online Dense Monocular SLAM with 3D Gaussian Splatting. Proc. ACM Comput. Graph. Interact. Tech. Yue Hu, Rong Liu, Meida Chen, Peter A. Beerel, Andrew Feng
2025	J	`jnl`	Universal Beta Splatting. CoRR Rong Liu, Zhongpai Gao, Benjamin Planche, Meida Chen, van Nguyen Nguyen, Meng Zheng, Anwesa Choudhuri, Terrence Chen, Yue Wang, Andrew Feng, Ziyan Wu
2024	—	`conf`	AlignBench: Benchmarking Chinese Alignment of Large Language Models. ACL (1) Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Andrew Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Xiaotao Gu, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang
2024	J	`jnl`	An Aerial Photogrammetry Benchmark Dataset for Point Cloud Segmentation and Style Translation. Remote. Sens. Meida Chen, Kangle Han, Zifan Yu, Andrew Feng, Yu Hou, Suya You, Lucio Soibelman
2024	A	`conf`	AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Field. BMVC Rong Liu, Rui Xu, Yue Hu, Meida Chen, Andrew Feng
2024	J	`jnl`	AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Field. CoRR Rong Liu, Rui Xu, Yue Hu, Meida Chen, Andrew Feng
2024	J	`jnl`	C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System. CoRR 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, Daguang Xu, Yan Cheng, Andrew Feng, Ziyue Xu
2024	Misc	`conf`	Combining the Predictions of Out-of-Domain Classifiers Using Etcetera Abduction. CISS Andrew S. Gordon, Andrew Feng
2024	—	`conf`	CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation. ACL (1) Pei Ke, Bosi Wen, Andrew Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang
2024	J	`jnl`	Empowering Federated Learning for Massive Models with NVIDIA FLARE. CoRR Holger R. Roth, Ziyue Xu, Yuan-Ting Hsieh, Adithya Renduchintala, Isaac Yang, Zhihong Zhang, Yuhong Wen, Sean Yang, Kevin Lu, Kristopher Kersten, Camir Ricketts, Daguang Xu, Chester Chen, Yan Cheng, Andrew Feng
2024	Misc	`conf`	Evaluating Vision-Language Models on the TriangleCOPA Benchmark. FLAIRS Ankur Chemburkar, Andrew S. Gordon, Andrew Feng
2024	J	`jnl`	Geometry-aware Feature Matching for Large-Scale Structure from Motion. CoRR Gonglin Chen, Jinsen Wu, Haiwei Chen, Wenbin Teng, Zhiyuan Gao, Andrew Feng, Rongjun Qin, Yajie Zhao
2024	J	`jnl`	Lazy Resampling: Fast and information preserving preprocessing for deep learning. Comput. Methods Programs Biomed. Benjamin Murray, Richard Brown, Pengcheng Ma, Eric Kerfoot, Daguang Xu, Andrew Feng, Jorge Cardoso, Sébastien Ourselin, Marc Modat
2024	J	`jnl`	MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images. Medical Image Anal. Andres Diaz-Pinto, Sachidanand Alle, Vishwesh Nath, Yucheng Tang, Alvin Ihsani, Muhammad Asad, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Mona Flores, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso
2024	J	`jnl`	Open-Vocabulary High-Resolution 3D (OVHR3D) Data Segmentation and Annotation Framework. CoRR Jiuyi Xu, Meida Chen, Andrew Feng, Zifan Yu, Yangming Shi
2024	J	`jnl`	Skyeyes: Ground Roaming using Aerial View Images. CoRR Zhiyuan Gao, Wenbin Teng, Gonglin Chen, Jinsen Wu, Ningli Xu, Rongjun Qin, Andrew Feng, Yajie Zhao
2024	J	`jnl`	Supercharging Federated Learning with Flower and NVIDIA FLARE. CoRR Holger R. Roth, Daniel J. Beutel, Yan Cheng, Javier Fernández-Marqués, Heng Pan, Chester Chen, Zhihong Zhang, Yuhong Wen, Sean Yang, Isaac Yang, Yuan-Ting Hsieh, Ziyue Xu, Daguang Xu, Nicholas D. Lane, Andrew Feng
2023	A	`conf`	Co-Speech Gesture Synthesis using Discrete Gesture Token Learning. IROS Shuhong Lu, Youngwoo Yoon, Andrew Feng
2023	J	`jnl`	Co-Speech Gesture Synthesis using Discrete Gesture Token Learning. CoRR Shuhong Lu, Youngwoo Yoon, Andrew Feng
2023	J	`jnl`	DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. CoRR Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso
2023	—	`conf`	Discrete Diffusion for Co-Speech Gesture Synthesis. ICMI Companion Ankur Chemburkar, Shuhong Lu, Andrew Feng
2023	J	`jnl`	Do Gradient Inversion Attacks Make Federated Learning Unsafe? IEEE Trans. Medical Imaging Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth
2023	J	`jnl`	Generative AI for Medical Imaging: extending the MONAI Framework. CoRR 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, Wei Peng, Zelong Liu, Xueyan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	NVIDIA FLARE: Federated Learning from Simulation to Real-World. IEEE Data Eng. Bull. Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng
2023	Misc	`conf`	Searching for the Most Probable Combination of Class Labels Using Etcetera Abduction. CISS Andrew S. Gordon, Andrew Feng
2023	A	`conf`	Text-to-Motion Synthesis using Discrete Diffusion Model. BMVC Ankur Chemburkar, Shuhong Lu, Andrew Feng
2022	C	`conf`	A Tool for Extracting 3D Avatar-Ready Gesture Animations from Monocular Videos. MIG Andrew Feng, Samuel Shin, Youngwoo Yoon
2022	—	`conf`	DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. DALI@MICCAI Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Do Gradient Inversion Attacks Make Federated Learning Unsafe? CoRR Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth
2022	J	`jnl`	MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images. CoRR Andres Diaz-Pinto, Sachidanand Alle, Alvin Ihsani, Muhammad Asad, Vishwesh Nath, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso
2022	J	`jnl`	MONAI: An open-source framework for deep learning in healthcare. CoRR M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sébastien Ourselin, Andrew Feng
2022	J	`jnl`	NVIDIA FLARE: Federated Learning from Simulation to Real-World. CoRR Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng
2022	A	`conf`	STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset. BMVC Meida Chen, Qingyong Hu, Zifan Yu, Hugues Thomas, Andrew Feng, Yu Hou, Kyle McCullough, Fengbo Ren, Lucio Soibelman
2022	J	`jnl`	STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset. CoRR Meida Chen, Qingyong Hu, Hugues Thomas, Andrew Feng, Yu Hou, Kyle McCullough, Lucio Soibelman
2022	B	`conf`	The DeepMotion entry to the GENEA Challenge 2022. ICMI Shuhong Lu, Andrew Feng
2021	J	`jnl`	Ground material classification and for UAV-based photogrammetric 3D data A 2D-3D Hybrid Approach. CoRR Meida Chen, Andrew Feng, Yu Hou, Kyle McCullough, Pratusha Bhuvana Prasad, Lucio Soibelman
2020	J	`jnl`	3D Photogrammetry Point Cloud Segmentation Using a Model Ensembling Framework. J. Comput. Civ. Eng. Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman
2020	J	`jnl`	Fully Automated Photogrammetric Data Segmentation and Object Information Extraction Approach for Creating Simulation Terrain. CoRR Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman, Mike Enloe
2020	J	`jnl`	Generating synthetic photogrammetric data for training deep learning based 3D point cloud segmentation models. CoRR Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman
2020	C	`conf`	Recognizing Multiplayer Behaviors Using Synthetic Training Data. CoG Andrew Feng, Andrew S. Gordon
2020	J	`jnl`	Semantic Segmentation and Data Fusion of Microsoft Bing 3D Cities and Small UAV-based Photogrammetric Data. CoRR Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman
2020	J	`jnl`	Utilizing Satellite Imagery Datasets and Machine Learning Data Models to Evaluate Infrastructure Change in Undeveloped Regions. CoRR Kyle McCullough, Andrew Feng, Meida Chen, Ryan McAlinden
2019	—	`conf`	Latent Terrain Representations for Trajectory Prediction. MOVE++@SIGSPATIAL Andrew Feng, Andrew S. Gordon
2019	—	`conf`	Privacy-Preserving Federated Brain Tumour Segmentation. MLMI@MICCAI Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng
2019	J	`jnl`	Privacy-preserving Federated Brain Tumour Segmentation. CoRR Wenqi Li, Fausto Milletari, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng
2016	A*	`conf`	Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising. SIGIR Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic, Fabrizio Silvestri, Ricardo Baeza-Yates, Andrew Feng, Erik Ordentlich, Lee Yang, Gavin Owens
2016	J	`jnl`	Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising. CoRR Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic, Fabrizio Silvestri, Ricardo Baeza-Yates, Andrew Feng, Erik Ordentlich, Lee Yang, Gavin Owens
2016	—	`conf`	Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale. NIPS Firas Abuzaid, Joseph K. Bradley, Feynman T. Liang, Andrew Feng, Lee Yang, Matei Zaharia, Ameet Talwalkar