David Yan

According to our database, David Yan authored at least 16 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph.

Jiazheng Li, Yawei Wang, David Yan, Yijun Tian, Zhichao Xu, Huan Song, Panpan Xu, Lin Lee Cheong

CoRR, October, 2025

Procedural Dataset Generation for Zero-Shot Stereo Matching.

David Yan, Alexander Raistrick, Jia Deng

CoRR, April, 2025

Learnings from Scaling Visual Tokenizers for Reconstruction and Generation.

Philippe Hansen-Estruch, David Yan, Ching-Yao Chung, Orr Zohar, Jialiang Wang, Tingbo Hou, Tao Xu, Sriram Vishwanath, Peter Vajda, Xinlei Chen

CoRR, January, 2025

Learnings from Scaling Visual Tokenizers for Reconstruction and Generation.

Philippe Hansen-Estruch, David Yan, Ching-Yao Chuang, Orr Zohar, Jialiang Wang, Tingbo Hou, Tao Xu, Sriram Vishwanath, Peter Vajda, Xinlei Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Movie Gen: A Cast of Media Foundation Models.

Adam Polyak, Amit Zohar, Andrew Brown, Andros Tjandra, Animesh Sinha, Ann Lee, Apoorv Vyas, Bowen Shi, Chih-Yao Ma, Ching-Yao Chuang, David Yan, Dhruv Choudhary, Dingkang Wang, Geet Sethi, Guan Pang, Haoyu Ma, Ishan Misra, Ji Hou, Jialiang Wang, Kiran Jagadeesh, Kunpeng Li, Luxin Zhang, Mannat Singh, Mary Williamson, Matt Le, Matthew Yu, Mitesh Kumar Singh, Peizhao Zhang, Peter Vajda, Quentin Duval, Rohit Girdhar, Roshan Sumbaly, Sai Saketh Rambhatla, Sam S. Tsai, Samaneh Azadi, Samyak Datta, Sanyuan Chen, Sean Bell, Sharadh Ramaswamy, Shelly Sheynin, Siddharth Bhattacharya, Simran Motwani, Tao Xu, Tianhe Li, Tingbo Hou, Wei-Ning Hsu, Xi Yin, Xiaoliang Dai, Yaniv Taigman, Yaqiao Luo, Yen-Cheng Liu, Yi-Chiao Wu, Yue Zhao, Yuval Kirstain, Zecheng He, Zijian He, Albert Pumarola, Ali K. Thabet, Artsiom Sanakoyeu, Arun Mallya, Baishan Guo, Boris Araya, Breena Kerr, Carleigh Wood, Ce Liu, Cen Peng, Dmitry Vengertsev, Edgar Schönfeld, Elliot Blanchard, Felix Juefei-Xu, Fraylie Nord, Jeff Liang, John Hoffman, Jonas Kohler, Kaolin Fire, Karthik Sivakumar, Lawrence Chen, Licheng Yu, Luya Gao, Markos Georgopoulos, Rashel Moritz, Sara K. Sampson, Shikai Li, Simone Parmeggiani, Steve Fine, Tara Fowler, Vladan Petrovic, Yuming Du

CoRR, 2024

Whole-body Humanoid Robot Locomotion with Human Reference.

Qiang Zhang, Peter Cui, David Yan, Jingkai Sun, Yiqun Duan, Arthur Zhang, Renjing Xu

CoRR, 2024

Animated Stickers: Bringing Stickers to Life with Video Diffusion.

David Yan, Winnie Zhang, Luxin Zhang, Anmol Kalia, Dingkang Wang, Ankit Ramchandani, Miao Liu, Albert Pumarola, Edgar Schönfeld, Elliot Blanchard, Krishna Narni, Yaqiao Luo, Lawrence Chen, Guan Pang, Ali K. Thabet, Peter Vajda, Amy Bearman, Licheng Yu

CoRR, 2024

Whole-body Humanoid Robot Locomotion with Human Reference.

Qiang Zhang, Peter Cui, David Yan, Jingkai Sun, Yiqun Duan, Gang Han, Wen Zhao, Weining Zhang, Yijie Guo, Arthur Zhang, Renjing Xu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression.

Animesh Sinha, Bo Sun, Anmol Kalia, Arantxa Casanova, Elliot Blanchard, David Yan, Winnie Zhang, Tony Nelli, Jiahui Chen, Hardik Shah, Licheng Yu, Mitesh Kumar Singh, Ankit Ramchandani, Maziar Sanjabi, Sonal Gupta, Amy Bearman, Dhruv Mahajan

Proceedings of the Computer Vision - ECCV 2024, 2024

Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation.

Alexander Raistrick, Lingjie Mei, Karhan Kayan, David Yan, Yiming Zuo, Beining Han, Hongyu Wen, Meenal Parakh, Stamatis Alexandropoulos, Lahav Lipson, Zeyu Ma, Jia Deng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Learned Temporal Aggregations for Fraud Classification on E-Commerce Platforms.

Xiao Ling, David Yan, Bilal Alsallakh, Ashutosh Pandey, Manan Bakshi, Pamela Bhattacharya

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Mind the Pool: Convolutional Neural Networks Can Overfit Input Size.

Bilal Alsallakh, David Yan, Narine Kokhlikyan, Vivek Miglani, Orion Reblitz-Richardson, Pamela Bhattacharya

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

A Tour of Visualization Techniques for Computer Vision Datasets.

Bilal Alsallakh, Pamela Bhattacharya, Vanessa Feng, Narine Kokhlikyan, Orion Reblitz-Richardson, Rahul Rajan, David Yan

CoRR, 2022

Beware the Black-Box of Medical Image Generation: an Uncertainty Analysis by the Learned Feature Space.

Yunni Qu, David Yan, Eric Xing, Fengbo Zheng, Jie Zhang, Liangliang Liu, Gongbo Liang

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2019

Malware Detection on Highly Imbalanced Data through Sequence Modeling.

Rajvardhan Oak, Min Du, David Yan, Harshvardhan C. Takawale, Idan Amit

Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, 2019

2018

A Demonstration of Sterling: A Privacy-Preserving Data Marketplace.

Nick Hynes, David Dao, David Yan, Raymond Cheng, Dawn Song

Proc. VLDB Endow., 2018