Andrew Zheng

According to our database, Andrew Zheng authored at least 17 papers between 2020 and 2025.

Collaborative distances:

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

2025

Evaluating singular and near-singular integrals on C² smooth surfaces with a novel geometric method and closed form expressions.

Andrew Zheng, Spyros Alexakis, Adam R. Stinchcombe

CoRR, February, 2025

Differences-in-Neighbors for Network Interference in Experiments.

Tianyi Peng, Naimeng Ye, Andrew Zheng

Proceedings of the 26th ACM Conference on Economics and Computation, 2025

Autoethnographic Insights from Neurodivergent GAI "Power Users".

Kate Glazko, Junhyeok Cha, Aaleyah Lewis, Ben Kosa, Brianna L. Wimer, Andrew Zheng, Yiwei Zheng, Jennifer Mankoff

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024

Mora: abundance aware metagenomic read re-assignment for disentangling similar strains.

Andrew Zheng, Jim Shaw, Yun William Yu

BMC Bioinform., December, 2024

Speeding up Policy Simulation in Supply Chain RL.

Vivek F. Farias, Joren Gijsbrechts, Aryan I. Khojandi, Tianyi Peng, Andrew Zheng

CoRR, 2024

Effects of Dataset Sampling Rate for Noise Cancellation through Deep Learning.

Brandon Curtis Colelough, Andrew Zheng

CoRR, 2024

Synthesizing Controller for Safe Navigation Using Control Density Function.

Joseph Moyalan, Sriram S. K. S. Narayanan, Andrew Zheng, Umesh Vaidya

Proceedings of the American Control Conference, 2024

2023

Safe Navigation Using Density Functions.

Andrew Zheng, Sriram S. K. S. Narayanan, Umesh Vaidya

IEEE Robotics Autom. Lett., December, 2023

Safe Motion Planning for Quadruped Robots Using Density Functions.

Sriram S. K. S. Narayanan, Andrew Zheng, Umesh Vaidya

CoRR, 2023

Safety using Analytically Constructed Density Functions.

Andrew Zheng, Sriram S. K. S. Narayanan, Umesh Vaidya

CoRR, 2023

Off-Road Navigation of Legged Robots Using Linear Transfer Operators.

Joseph Moyalan, Andrew Zheng, Sriram S. K. S. Narayanan, Umesh Vaidya

CoRR, 2023

Correcting for Interference in Experiments: A Case Study at Douyin.

Vivek F. Farias, Hao Li, Tianyi Peng, Xinyuyang Ren, Huawei Zhang, Andrew Zheng

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

Optimal Control for Quadruped Locomotion using LTV MPC.

Andrew Zheng, Sriram S. K. S. Narayanan

CoRR, 2022

Synthetically Controlled Bandits.

Vivek F. Farias, Ciamac Moallemi, Tianyi Peng, Andrew Zheng

CoRR, 2022

Markovian Interference in Experiments.

Vivek F. Farias, Andrew A. Li, Tianyi Peng, Andrew Zheng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

The Limits to Learning a Diffusion Model.

Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng

Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

2020

The Limits to Learning an SIR Process: Granular Forecasting for Covid-19.

Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng

CoRR, 2020