Kaixuan Huang

Orcid: 0000-0002-1208-928X

According to our database1, Kaixuan Huang authored at least 47 papers between 2019 and 2025.

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Bibliography

2025
A Three-Stage Physics-Driven Transmission Scheme for Integrated Sensing and Communication Systems With Noisy Angular Information.
IEEE Wirel. Commun. Lett., August, 2025

A Unified QoS-Aware Multiplexing Framework for Next-Generation Immersive Communication With Legacy Wireless Applications.
IEEE Internet Things J., July, 2025

Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution.
CoRR, May, 2025

On Path to Multimodal Historical Reasoning: HistBench and HistAgent.
CoRR, May, 2025

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks.
CoRR, May, 2025

Temporal Consistency for LLM Reasoning Process Error Identification.
CoRR, March, 2025

Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models.
CoRR, February, 2025

MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations.
CoRR, February, 2025

FedMWAD: Module-wise weighted aggregation federated learning combined with Ditto for patient-independent seizure prediction.
Inf. Process. Manag., 2025

SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Author Correction: A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions.
Nat. Mac. Intell., 2024

A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions.
Nat. Mac. Intell., 2024

Optimize data association of point cloud to improve the quality of mapping and positioning.
Ind. Robot, 2024

A robust quantum nonlinear solver based on the asymptotic numerical method.
CoRR, 2024

TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling.
CoRR, 2024

Latent Diffusion Models for Controllable RNA Sequence Generation.
CoRR, 2024

SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors.
CoRR, 2024

Quantum Compiling with Reinforcement Learning on a Superconducting Processor.
CoRR, 2024

SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths.
CoRR, 2024

AI Risk Management Should Incorporate Both Safety and Security.
CoRR, 2024

A Novel Cross-band CSI Prediction Scheme for Multi-band Fingerprint based Localization.
CoRR, 2024

CRISPR-GPT: An LLM Agent for Automated Design of Gene-Editing Experiments.
CoRR, 2024

Diffusion Model for Data-Driven Black-Box Optimization.
CoRR, 2024

Embodied LLM Agents Learn to Cooperate in Organized Teams.
CoRR, 2024

Heterogeneous Feature Fusion Approach for Multi-Modal Indoor Localization.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

A Novel Cross-band CSI Prediction Scheme for Multi-band Fingerprint based Localization.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

A Theoretical Perspective for Speculative Decoding Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Visual Adversarial Examples Jailbreak Aligned Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Observation of entanglement transition of pseudo-random mixed states.
Dataset, March, 2023

Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources.
CoRR, 2023

Scaling In-Context Demonstrations with Structured Attention.
CoRR, 2023

Visual Adversarial Examples Jailbreak Large Language Models.
CoRR, 2023

Hybrid Cascaded and Feature-Level Fusion Scheme for Multi-Modal Indoor Localization.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement.
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.
Proceedings of the International Conference on Machine Learning, 2023

Deep Reinforcement Learning for Cost-Effective Medical Diagnosis.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Variational Auto-Encoder Enabled Multi-Band Channel Prediction Scheme for Indoor Localization.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization.
CoRR, 2022

2021
A Short Note on the Relationship of Information Gain and Eluder Dimension.
CoRR, 2021

Optimal Gradient-based Algorithms for Non-concave Bandit Optimization.
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.
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.
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.
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.
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.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Push-Based Network-efficient Hadoop YARN Scheduling Mechanism for In-Memory Computing.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019


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