Interactive Rare-Category-of-Interest Mining from Large Datasets. - Zhenguang Liu; Sihao Hu; Yifang Yin; Jianhai Chen; Kevin Chiew; Luming Zhang; Zetian Wu (AAAI, 2020)

Turbo: Fraud Detection in Deposit-free Leasing Service via Real-Time Behavior Network Mining. - Sihao Hu; Xuhong Zhang 002; Junfeng Zhou; Shouling Ji; Jiaqi Yuan; Zhao Li 007; Zhipeng Wang; Qi Chen; Qinming He; Liming Fang 001 (ICDE, 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)

GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction. - Yi Cao; Sihao Hu; Yu Gong; Zhao Li 007; Yazheng Yang; Qingwen Liu 002; Shouling Ji (CIKM, 2022)

GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction. - Sihao Hu; Yi Cao; Yu Gong; Zhao Li 007; Yazheng Yang; Qingwen Liu 002; Wengwu Ou; Shouling Ji (CoRR, 2022)

Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training. - Tiansheng Huang; Sihao Hu; Ka Ho Chow; Fatih Ilhan; Selim F. Tekin; Ling Liu 001 (NeurIPS, 2023)

Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives. - Sihao Hu; Tiansheng Huang; Fatih Ilhan; Selim Furkan Tekin; Ling Liu 001 (TPS-ISA, 2023)

BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection. - Sihao Hu; Zhen Zhang 023; Bingqiao Luo; Shengliang Lu; Bingsheng He; Ling Liu 001 (WWW, 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 001 (WWW (Companion Volume), 2023)

Deep Intention-Aware Network for Click-Through Rate Prediction. - Yaxian Xia; Yi Cao; Sihao Hu; Tong Liu; Lingling Lu (WWW (Companion Volume), 2023)

Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump. - Sihao Hu; Zhen Zhang 023; Shengliang Lu; Bingsheng He; Zhao Li 007 (Proc. ACM Manag. Data, 2023)

Resource- Efficient Transformer Pruning for Finetuning of Large Models. - Fatih Ilhan; Gong Su; Selim Furkan Tekin; Tiansheng Huang; Sihao Hu; Ling Liu 001 (CVPR, 2024)

Personalized Privacy Protection Mask Against Unauthorized Facial Recognition. - Ka-Ho Chow; Sihao Hu; Tiansheng Huang; Ling Liu 001 (ECCV (82), 2024)

LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity. - Selim F. Tekin; Fatih Ilhan; Tiansheng Huang; Sihao Hu; Ling Liu 001 (EMNLP (Findings), 2024)

Joint-Motion Mutual Learning for Pose Estimation in Video. - Sifan Wu 001; Haipeng Chen 002; Yifang Yin; Sihao Hu; Runyang Feng; Yingying Jiao; Ziqi Yang; Zhenguang Liu (ACM Multimedia, 2024)

Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack. - Tiansheng Huang; Sihao Hu; Ling Liu 001 (NeurIPS, 2024)

Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack. - Tiansheng Huang; Sihao Hu; Fatih Ilhan; Selim F. Tekin; Ling Liu 001 (NeurIPS, 2024)

Adaptive Deep Neural Network Inference Optimization with EENet. - Fatih Ilhan; Ka-Ho Chow; Sihao Hu; Tiansheng Huang; Selim F. Tekin; Wenqi Wei 001; Yanzhao Wu 001; Myungjin Lee; Ramana Kompella; Hugo Latapie; Gaowen Liu; Ling Liu 001 (WACV, 2024)

ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain. - Sihao Hu; Tiansheng Huang; Ka-Ho Chow; Wenqi Wei 001; Yanzhao Wu 001; Ling Liu 001 (WWW, 2024)

Vaccine: Perturbation-aware Alignment for Large Language Model. - Tiansheng Huang; Sihao Hu; Ling Liu 001 (CoRR, 2024)

PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models. - Sihao Hu; Tiansheng Huang; Ling Liu 001 (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 001 (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 001 (CoRR, 2024)

Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning. - Tiansheng Huang; Sihao Hu; Fatih Ilhan; Selim Furkan Tekin; Ling Liu 001 (CoRR, 2024)

Joint-Motion Mutual Learning for Pose Estimation in Videos. - Sifan Wu 001; Haipeng Chen 002; Yifang Yin; Sihao Hu; Runyang Feng; Yingying Jiao; Ziqi Yang; Zhenguang Liu (CoRR, 2024)

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey. - Tiansheng Huang; Sihao Hu; Fatih Ilhan; Selim Furkan Tekin; Ling Liu 001 (CoRR, 2024)

Collaborative Contrastive Network for Click-Through Rate Prediction. - Chen Gao; Zixin Zhao; Sihao Hu; Lv Shao; Tong Liu (CoRR, 2024)

H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs. - Selim Furkan Tekin; Fatih Ilhan; Tiansheng Huang; Sihao Hu; Zachary Yahn; Ling Liu 001 (CoRR, 2024)

Diversity-driven Privacy Protection Masks Against Unauthorized Face Recognition. - Ka-Ho Chow; Sihao Hu; Tiansheng Huang; Fatih Ilhan; Wenqi Wei 001; Ling Liu 001 (Proc. Priv. Enhancing Technol., 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 001 (ICLR, 2025)

Dual Space Representation Learning for Skeleton-Based Action Recognition. - Yuheng Yang; Haipeng Chen 002; Zhenguang Liu; Sihao Hu; Yingying Jiao (IEEE Signal Process. Lett., 2025)

Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation. - Tiansheng Huang; Sihao Hu; Fatih Ilhan; Selim Furkan Tekin; Ling Liu 001 (CoRR, 2025)

Multi-Agent Reinforcement Learning with Focal Diversity Optimization. - Selim Furkan Tekin; Fatih Ilhan; Tiansheng Huang; Sihao Hu; Zachary Yahn; Ling Liu 001 (CoRR, 2025)

Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable. - Tiansheng Huang; Sihao Hu; Fatih Ilhan; Selim Furkan Tekin; Zachary Yahn; Yichang Xu; Ling Liu 001 (CoRR, 2025)

Language-Vision Planner and Executor for Text-to-Visual Reasoning. - Yichang Xu; Gaowen Liu; Ramana Rao Kompella; Sihao Hu; Tiansheng Huang; Fatih Ilhan; Selim Furkan Tekin; Zachary Yahn; Ling Liu 001 (CoRR, 2025)

Adversarial Attention Perturbations for Large Object Detection Transformers. - Zachary Yahn; Selim Furkan Tekin; Fatih Ilhan; Sihao Hu; Tiansheng Huang; Yichang Xu; Margaret Loper; Ling Liu 001 (CoRR, 2025)