Andrew Zhao

According to our database, Andrew Zhao authored at least 21 papers between 2016 and 2024.

Collaborative distances:

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

2024

Automatic Waterfowl and Habitat Detection using Drone Imagery and Deep Learning.

Andrew Zhao, Andrea Fratila, Yang Zhang, Zhenduo Zhai, Zhiguang Liu, Yi Shang

Proceedings of the IEEE International Conference on Consumer Electronics, 2024

ExpeL: LLM Agents Are Experiential Learners.

Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation.

Matthieu Lin, Jenny Sheng, Yubin Hu, Yangguang Li, Lu Qi, Andrew Zhao, Gao Huang, Yong-Jin Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Synthesizing Formal Network Specifications From Input-Output Examples.

Haoxian Chen, Chenyuan Wu, Andrew Zhao, Mukund Raghothaman, Mayur Naik, Boon Thau Loo

IEEE/ACM Trans. Netw., June, 2023

Learning, Optimizing, and Simulating Fermions with Quantum Computers.

Andrew Zhao

CoRR, 2023

Augmenting Unsupervised Reinforcement Learning with Self-Reference.

Andrew Zhao, Erle Zhu, Rui Lu, Matthieu Lin, Yong-Jin Liu, Gao Huang

CoRR, 2023

Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation.

Shenzhi Wang, Chang Liu, Zilong Zheng, Siyuan Qi, Shuo Chen, Qisen Yang, Andrew Zhao, Chaofei Wang, Shiji Song, Gao Huang

CoRR, 2023

Quantum relaxation for quadratic programs over orthogonal matrices.

Andrew Zhao, Nicholas C. Rubin

CoRR, 2023

2022

Provable General Function Class Representation Learning in Multitask Bandits and MDPs.

Rui Lu, Andrew Zhao, Simon S. Du, Gao Huang

CoRR, 2022

A Mixture Of Surprises for Unsupervised Reinforcement Learning.

Andrew Zhao, Matthieu Gaetan Lin, Yangguang Li, Yong-Jin Liu, Gao Huang

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

Provable General Function Class Representation Learning in Multitask Bandits and MDP.

Rui Lu, Andrew Zhao, Simon S. Du, Gao Huang

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

2021

Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos.

Haoqi Yuan, Ruihai Wu, Andrew Zhao, Haipeng Zhang, Zihan Ding, Hao Dong

CoRR, 2021

Toward Using Machine Learning-Based Motion Gesture for 3D Text Input.

Sloan Swieso, Powen Yao, Mark Miller, Adityan Jothi, Andrew Zhao, Michael Zyda

Proceedings of the SUI '21: Symposium on Spatial User Interaction, 2021

Virtual Equipment System: Toward Peripersonal Equipment Slots with Machine Learning.

Mark Miller, Powen Yao, Adityan Jothi, Andrew Zhao, Sloan Swieso, Michael Zyda

Proceedings of the SUI '21: Symposium on Spatial User Interaction, 2021

Toward Predicting User Waist Location From VR Headset and Controllers Through Machine Learning.

Adityan Jothi, Powen Yao, Andrew Zhao, Mark Miller, Sloan Swieso, Michael Zyda

Proceedings of the SUI '21: Symposium on Spatial User Interaction, 2021

DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos.

Haoqi Yuan, Ruihai Wu, Andrew Zhao, Haipeng Zhang, Zihan Ding, Hao Dong

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

IPC evolution thru declarative interface generation.

Nik Sultana, Saket, Andrew Zhao, Shubhendra Pal Singhal, Michael Kaplan, Rajesh Krishnan, Boon Thau Loo

Proceedings of the DAI-SNAC@CoNEXT 2021: Proceedings of the 2021 Workshop on Descriptive Approaches to IoT Security, 2021

2020

The No-Flippancy Game.

Isha Agarwal, Matvey Borodin, Aidan Duncan, Kaylee Ji, Tanya Khovanova, Shane Lee, Boyan Litchev, Anshul Rastogi, Garima Rastogi, Andrew Zhao

CoRR, 2020

2017

Prevalence and Recoverability of Syntactic Parameters in Sparse Distributed Memories.

Jeong-Joon Park, Ronnel Boettcher, Andrew Zhao, Alex Mun, Kevin Yuh, Vibhor Kumar, Matilde Marcolli

Proceedings of the Geometric Science of Information - Third International Conference, 2017

Graph-based extraction of shape features for leaf classification.

Andrew Zhao, Denis Tsygankov, Peng Qiu

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016

Live demonstration: A 1024-pixel CMOS multi-modality sensing array for cell-based assays.

Jong Seok Park, Moez Karim Aziz, Taiyun Chi, Amy Su, Andrew Zhao, Hee Cheol Cho, Mark P. Styczynski, Hua Wang

Proceedings of the 2016 IEEE SENSORS, Orlando, FL, USA, October 30 - November 3, 2016, 2016