Kaixuan Huang

According to our database¹, Kaixuan Huang authored at least 21 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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On csauthors.net:

Bibliography

2024

Diffusion Model for Data-Driven Black-Box Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Embodied LLM Agents Learn to Cooperate in Organized Teams.

[BibT_eX]

[DOI]

CoRR, 2024

Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications.

[BibT_eX]

[DOI]

CoRR, 2024

Visual Adversarial Examples Jailbreak Aligned Large Language Models.

[BibT_eX]

[DOI]

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

2023

Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources.

[BibT_eX]

[DOI]

CoRR, 2023

Scaling In-Context Demonstrations with Structured Attention.

[BibT_eX]

[DOI]

CoRR, 2023

Visual Adversarial Examples Jailbreak Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Hybrid Cascaded and Feature-Level Fusion Scheme for Multi-Modal Indoor Localization.

[BibT_eX]

[DOI]

Siyu Tang

Kaixuan Huang

Shunqing Zhang

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Deep Reinforcement Learning for Cost-Effective Medical Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Variational Auto-Encoder Enabled Multi-Band Channel Prediction Scheme for Indoor Localization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

2022

Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization.

[BibT_eX]

[DOI]

CoRR, 2022

2021

A Short Note on the Relationship of Information Gain and Eluder Dimension.

[BibT_eX]

[DOI]

CoRR, 2021

Optimal Gradient-based Algorithms for Non-concave Bandit Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Going Beyond Linear RL: Sample Efficient Neural Function Approximation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fast Federated Learning in the Presence of Arbitrary Device Unavailability.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

High Precision Indoor Localization with Dummy Antennas - An Experimental Study.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

2020

Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? - A Neural Tangent Kernel Perspective.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On the Convergence of FedAvg on Non-IID Data.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Push-Based Network-efficient Hadoop YARN Scheduling Mechanism for In-Memory Computing.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

Kaixuan Huang

Timeline

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Links

On csauthors.net:

Bibliography

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