Sihao Hu

Orcid: 0000-0003-3297-6991

According to our database¹, Sihao Hu authored at least 37 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

Adversarial Attention Perturbations for Large Object Detection Transformers.

[BibT_eX]

[DOI]

CoRR, August, 2025

Language-Vision Planner and Executor for Text-to-Visual Reasoning.

[BibT_eX]

[DOI]

CoRR, June, 2025

Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable.

[BibT_eX]

[DOI]

CoRR, March, 2025

Multi-Agent Reinforcement Learning with Focal Diversity Optimization.

[BibT_eX]

[DOI]

CoRR, February, 2025

Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation.

[BibT_eX]

[DOI]

CoRR, January, 2025

Dual Space Representation Learning for Skeleton-Based Action Recognition.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2025

Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Diversity-driven Privacy Protection Masks Against Unauthorized Face Recognition.

[BibT_eX]

[DOI]

Proc. Priv. Enhancing Technol., 2024

H<sup>3</sup>Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Collaborative Contrastive Network for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Joint-Motion Mutual Learning for Pose Estimation in Videos.

[BibT_eX]

[DOI]

CoRR, 2024

Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning.

[BibT_eX]

[DOI]

CoRR, 2024

Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Large Language Model-Based Game Agents.

[BibT_eX]

[DOI]

CoRR, 2024

PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models.

[BibT_eX]

[DOI]

Sihao Hu

Tiansheng Huang

Ling Liu

CoRR, 2024

Vaccine: Perturbation-aware Alignment for Large Language Model.

[BibT_eX]

[DOI]

Tiansheng Huang

Sihao Hu

Ling Liu

CoRR, 2024

ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Adaptive Deep Neural Network Inference Optimization with EENet.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack.

[BibT_eX]

[DOI]

Tiansheng Huang

Sihao Hu

Ling Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Joint-Motion Mutual Learning for Pose Estimation in Video.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Personalized Privacy Protection Mask Against Unauthorized Facial Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Resource- Efficient Transformer Pruning for Finetuning of Large Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, 2023

Deep Intention-Aware Network for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Hierarchical Deep Neural Network Inference for Device-Edge-Cloud Systems.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Trust, 2023

Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training.

[BibT_eX]

[DOI]

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

2022

Deep Intention-Aware Network for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

From Known to Unknown: Knowledge-guided Transformer for Time-Series Sales Forecasting in Alibaba.

[BibT_eX]

[DOI]

CoRR, 2021

Turbo: Fraud Detection in Deposit-free Leasing Service via Real-Time Behavior Network Mining.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Interactive Rare-Category-of-Interest Mining from Large Datasets.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Sihao Hu

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