| From known to unknown: Knowledge-guided transformer for time-series sales forecasting in alibaba X Qi, K Hou, T Liu, Z Yu, S Hu, W Ou arXiv preprint arXiv:2109.08381, 2021 | 13 | 2021 |
| Sequence-based target coin prediction for cryptocurrency pump-and-dump S Hu, Z Zhang, S Lu, B He, Z Li SIGMOD 2023 1 (1), 1-19, 2023 | 9 | 2023 |
| BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection S Hu, Z Zhang, B Luo, S Lu, B He, L Liu WWW 2023, 2189-2197, 2023 | 9 | 2023 |
| Adaptive Deep Neural Network Inference Optimization with EENet F Ilhan, KH Chow, S Hu, T Huang, S Tekin, W Wei, Y Wu, M Lee, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 6* | 2024 |
| Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives S Hu, T Huang, F Ilhan, S Tekin, L Liu IEEE Trust, Privacy and Security 2023, 2023 | 6 | 2023 |
| GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction Y Cao*, S Hu*, Y Gong, Z Li, Y Yang, Q Liu, W Ou, S Ji CIKM 2022, 2022 | 5 | 2022 |
| Turbo: Fraud detection in deposit-free leasing service via real-time behavior network mining S Hu, X Zhang, J Zhou, S Ji, J Yuan, Z Li, Z Wang, Q Chen, Q He, L Fang ICDE 2021, 2583-2594, 2021 | 5 | 2021 |
| Deep Intention-Aware Network for Click-Through Rate Prediction Y Xia, Y Cao, S Hu, T Liu, L Lu WWW 2023, 533-537, 2023 | 4 | 2023 |
| PokéLLMon: A Human-Parity Agent for Pokémon Battles with Large Language Models S Hu, T Huang, L Liu arXiv preprint arXiv:2402.01118, 2024 | 3 | 2024 |
| Interactive rare-category-of-interest mining from large datasets Z Liu, S Hu, Y Yin, J Chen, K Chiew, L Zhang, Z Wu AAAI 2020, 4965-4972, 2020 | 3 | 2020 |
| Vaccine: Perturbation-aware Alignment for Large Language Models T Huang, S Hu, L Liu arXiv preprint arXiv:2402.01109, 2024 | 2 | 2024 |
| A Survey on Large Language Model-Based Game Agents S Hu, T Huang, F Ilhan, S Tekin, G Liu, R Kompella, L Liu arXiv preprint arXiv:2404.02039, 2024 | 1 | 2024 |
| Hierarchical Deep Neural Network Inference for Device-Edge-Cloud Systems F Ilhan, SF Tekin, S Hu, T Huang, KH Chow, L Liu WWW 2023, 302-305, 2023 | 1 | 2023 |
| Resource-Efficient Transformer Pruning for Fine-tuning of Large Models F Ilhan, G Su, S Tekin, T Huang, S Hu, L Liu CVPR 2024, 2024 | | 2024 |
| ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain S Hu, T Huang, KH Chow, W Wei, Y Wu, L Liu Proceedings of the ACM Web Conference 2024, 2024 | | 2024 |
| Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning SF Tekin, F Ilhan, T Huang, S Hu, KH Chow, ML Loper, L Liu arXiv preprint arXiv:2404.04434, 2024 | | 2024 |
| Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning S Furkan Tekin, F Ilhan, T Huang, S Hu, KH Chow, ML Loper, L Liu arXiv e-prints, arXiv: 2404.04434, 2024 | | 2024 |
| Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training T Huang, S Hu, KH Chow, F Ilhan, S Tekin, L Liu Advances in Neural Information Processing Systems 36, 2023 | | 2023 |
| FusionShot: Boosting Few Shot Learners with Focal-Diversity Optimized Ensemble Method SF Tekin, F Ilhan, S Hu, T Huang, L Liu | | 2023 |
| Silencer: Pruning-aware Backdoor Defense for Decentralized Federated Learning T Huang, S Hu, F Ilhan, SF Tekin, W Wei, L Liu | | 2023 |
Ling LiuGeorgia Institute of TechnologyVerified email at cc.gatech.edu
