Andrew Zhao

According to our database1, Andrew Zhao authored at least 28 papers between 2016 and 2024.

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Bibliography

2024
Learning the structure of any Hamiltonian from minimal assumptions.
CoRR, 2024

LLM-based Optimization of Compound AI Systems: A Survey.
CoRR, 2024

Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing.
CoRR, 2024

Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories.
CoRR, 2024

DiveR-CT: Diversity-enhanced Red Teaming with Relaxing Constraints.
CoRR, 2024

Automatic Waterfowl and Habitat Detection using Drone Imagery and Deep Learning.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024

Exploring Text-to-Motion Generation with Human Preference.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Boosting LLM Agents with Recursive Contemplation for Effective Deception Handling.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

ExpeL: LLM Agents Are Experiential Learners.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Synthesizing Formal Network Specifications From Input-Output Examples.
IEEE/ACM Trans. Netw., June, 2023

Learning, Optimizing, and Simulating Fermions with Quantum Computers.
CoRR, 2023

Augmenting Unsupervised Reinforcement Learning with Self-Reference.
CoRR, 2023

Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation.
CoRR, 2023

Quantum relaxation for quadratic programs over orthogonal matrices.
CoRR, 2023

2022
Provable General Function Class Representation Learning in Multitask Bandits and MDPs.
CoRR, 2022

A Mixture Of Surprises for Unsupervised Reinforcement Learning.
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.
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.
CoRR, 2021

Toward Using Machine Learning-Based Motion Gesture for 3D Text Input.
Proceedings of the SUI '21: Symposium on Spatial User Interaction, 2021

Virtual Equipment System: Toward Peripersonal Equipment Slots with Machine Learning.
Proceedings of the SUI '21: Symposium on Spatial User Interaction, 2021

Toward Predicting User Waist Location From VR Headset and Controllers Through Machine Learning.
Proceedings of the SUI '21: Symposium on Spatial User Interaction, 2021

DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

IPC evolution thru declarative interface generation.
Proceedings of the DAI-SNAC@CoNEXT 2021: Proceedings of the 2021 Workshop on Descriptive Approaches to IoT Security, 2021

2020
The No-Flippancy Game.
CoRR, 2020

2017
Prevalence and Recoverability of Syntactic Parameters in Sparse Distributed Memories.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

Graph-based extraction of shape features for leaf classification.
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.
Proceedings of the 2016 IEEE SENSORS, Orlando, FL, USA, October 30 - November 3, 2016, 2016


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