Andrew Zheng

25 papers A* 5A 1C 2Journal 17
YearRankTypeTitle / Venue / Authors
2025 A* conf
Autoethnographic Insights from Neurodivergent GAI "Power Users".
CHI
Kate Glazko, Junhyeok Cha, Aaleyah Lewis, Ben Kosa, Brianna L. Wimer, Andrew Zheng, Yiwei Zheng, Jennifer Mankoff
2025 C conf
Density Functions for Dynamic Safe Navigation of Robotic Systems.
ACC
Sriram S. K. S. Narayanan, Joseph Moyalan, Andrew Zheng, Umesh Vaidya
2025 A* conf
Differences-in-Neighbors for Network Interference in Experiments.
EC
Tianyi Peng, Naimeng Ye, Andrew Zheng
2025 J jnl
Differences-in-Neighbors for Network Interference in Experiments.
CoRR
Tianyi Peng, Naimeng Ye, Andrew Zheng
2025 J jnl
Evaluating singular and near-singular integrals on C
CoRR
Andrew Zheng, Spyros Alexakis, Adam R. Stinchcombe
2025 A* conf
Speeding up Policy Simulation in Supply Chain RL.
ICML
Vivek F. Farias, Joren Gijsbrechts, Aryan I. Khojandi, Tianyi Peng, Andrew Zheng
2025 J jnl
The Limits to Learning a Diffusion Model.
Manag. Sci.
Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng
2024 J jnl
Advancing entity recognition in biomedicine via instruction tuning of large language models.
Bioinform.
Vipina Kuttichi Keloth, Yan Hu, Qianqian Xie, Xueqing Peng, Yan Wang, Andrew Zheng, Melih Selek, Kalpana Raja, Chih-Hsuan Wei, Qiao Jin, Zhiyong Lu, Qingyu Chen, Hua Xu
2024 J jnl
Effects of Dataset Sampling Rate for Noise Cancellation through Deep Learning.
CoRR
Brandon Curtis Colelough, Andrew Zheng
2024 J jnl
Mora: abundance aware metagenomic read re-assignment for disentangling similar strains.
BMC Bioinform.
Andrew Zheng, Jim Shaw, Yun William Yu
2024 J jnl
Speeding up Policy Simulation in Supply Chain RL.
CoRR
Vivek F. Farias, Joren Gijsbrechts, Aryan I. Khojandi, Tianyi Peng, Andrew Zheng
2024 C conf
Synthesizing Controller for Safe Navigation Using Control Density Function.
ACC
Joseph Moyalan, Sriram S. K. S. Narayanan, Andrew Zheng, Umesh Vaidya
2024 J jnl
Synthesizing Controller for Safe Navigation using Control Density Function.
CoRR
Joseph Moyalan, Sriram S. K. S. Narayanan, Andrew Zheng, Umesh Vaidya
2023 A conf
Correcting for Interference in Experiments: A Case Study at Douyin.
RecSys
Vivek F. Farias, Hao Li, Tianyi Peng, Xinyuyang Ren, Huawei Zhang, Andrew Zheng
2023 J jnl
Correcting for Interference in Experiments: A Case Study at Douyin.
CoRR
Vivek F. Farias, Hao Li, Tianyi Peng, Xinyuyang Ren, Huawei Zhang, Andrew Zheng
2023 J jnl
Off-Road Navigation of Legged Robots Using Linear Transfer Operators.
CoRR
Joseph Moyalan, Andrew Zheng, Sriram S. K. S. Narayanan, Umesh Vaidya
2023 J jnl
Safe Motion Planning for Quadruped Robots Using Density Functions.
CoRR
Sriram S. K. S. Narayanan, Andrew Zheng, Umesh Vaidya
2023 J jnl
Safe Navigation Using Density Functions.
IEEE Robotics Autom. Lett.
Andrew Zheng, Sriram S. K. S. Narayanan, Umesh Vaidya
2023 J jnl
Safety using Analytically Constructed Density Functions.
CoRR
Andrew Zheng, Sriram S. K. S. Narayanan, Umesh Vaidya
2022 A* conf
Markovian Interference in Experiments.
NeurIPS
Vivek F. Farias, Andrew A. Li, Tianyi Peng, Andrew Zheng
2022 J jnl
Markovian Interference in Experiments.
CoRR
Vivek F. Farias, Andrew A. Li, Tianyi Peng, Andrew Zheng
2022 J jnl
Optimal Control for Quadruped Locomotion using LTV MPC.
CoRR
Andrew Zheng, Sriram S. K. S. Narayanan
2022 J jnl
Synthetically Controlled Bandits.
CoRR
Vivek F. Farias, Ciamac C. Moallemi, Tianyi Peng, Andrew Zheng
2021 A* conf
The Limits to Learning a Diffusion Model.
EC
Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng
2020 J jnl
The Limits to Learning an SIR Process: Granular Forecasting for Covid-19.
CoRR
Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng