Sihao Hu

According to our database, Sihao Hu authored at least 26 papers between 2020 and 2024.

Collaborative distances:

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

2024

Diversity-driven Privacy Protection Masks Against Unauthorized Face Recognition.

Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Fatih Ilhan, Wenqi Wei, Ling Liu

Proc. Priv. Enhancing Technol., 2024

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

Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu

CoRR, 2024

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

Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu

CoRR, 2024

Joint-Motion Mutual Learning for Pose Estimation in Videos.

Sifan Wu, Haipeng Chen, Yifang Yin, Sihao Hu, Runyang Feng, Yingying Jiao, Ziqi Yang, Zhenguang Liu

CoRR, 2024

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

Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu

CoRR, 2024

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

Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ka-Ho Chow, Margaret L. Loper, Ling Liu

CoRR, 2024

A Survey on Large Language Model-Based Game Agents.

Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim F. Tekin, Gaowen Liu, Ramana Kompella, Ling Liu

CoRR, 2024

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

Sihao Hu, Tiansheng Huang, Ling Liu

CoRR, 2024

Vaccine: Perturbation-aware Alignment for Large Language Model.

Tiansheng Huang, Sihao Hu, Ling Liu

CoRR, 2024

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

Sihao Hu, Tiansheng Huang, Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu

Proceedings of the ACM on Web Conference 2024, 2024

Adaptive Deep Neural Network Inference Optimization with EENet.

Fatih Ilhan, Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Selim F. Tekin, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu, Ling Liu

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

Joint-Motion Mutual Learning for Pose Estimation in Video.

Sifan Wu, Haipeng Chen, Yifang Yin, Sihao Hu, Runyang Feng, Yingying Jiao, Ziqi Yang, Zhenguang Liu

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.

Selim F. Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ling Liu

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

Personalized Privacy Protection Mask Against Unauthorized Facial Recognition.

Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Ling Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

Resource- Efficient Transformer Pruning for Finetuning of Large Models.

Fatih Ilhan, Gong Su, Selim Furkan Tekin, Tiansheng Huang, Sihao Hu, Ling Liu

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

2023

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

Sihao Hu, Zhen Zhang, Shengliang Lu, Bingsheng He, Zhao Li

Proc. ACM Manag. Data, 2023

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

Yaxian Xia, Yi Cao, Sihao Hu, Tong Liu, Lingling Lu

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

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

Fatih Ilhan, Selim Furkan Tekin, Sihao Hu, Tiansheng Huang, Ka Ho Chow, Ling Liu

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

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

Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu

Proceedings of the ACM Web Conference 2023, 2023

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

Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim Furkan Tekin, Ling Liu

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

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

Tiansheng Huang, Sihao Hu, Ka Ho Chow, Fatih Ilhan, Selim F. Tekin, Ling Liu

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

2022

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

Sihao Hu, Yi Cao, Yu Gong, Zhao Li, Yazheng Yang, Qingwen Liu, Wengwu Ou, Shouling Ji

CoRR, 2022

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

Yi Cao, Sihao Hu, Yu Gong, Zhao Li, Yazheng Yang, Qingwen Liu, Shouling Ji

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.

Xinyuan Qi, Kai Hou, Tong Liu, Zhongzhong Yu, Sihao Hu, Wenwu Ou

CoRR, 2021

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

Sihao Hu, Xuhong Zhang, Junfeng Zhou, Shouling Ji, Jiaqi Yuan, Zhao Li, Zhipeng Wang, Qi Chen, Qinming He, Liming Fang

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

2020

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

Zhenguang Liu, Sihao Hu, Yifang Yin, Jianhai Chen, Kevin Chiew, Luming Zhang, Zetian Wu

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