David Yan

According to our database, David Yan authored at least 9 papers between 2018 and 2024.

Collaborative distances:

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

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

2023

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

CoRR, 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