Biography

Currently, I am a CS PhD student at Georgia Institute of Technology (Georgia Tech), supervised by Prof. Ling Liu. My research interests include sequential modeling algorithms for blockchain security and recommender systems.

Before joining Georgia Tech, I worked as a research assistant at National University of Singapore (NUS), advised by Prof. Bingsheng He. I graduated from Zhejiang University, advised by Prof. Qinming He and Prof. Shouling Ji.

Publications

Conference

• S. Hu, T. Huang, L. Liu^#, “PokéLLMon: A Human-Parity Agent for Pokémon Battles with Large Language Models”, [paper] [code] [battle animation]
• S. Hu, T. Huang, KH. Chow, W. Wei, Y. Wu, L. Liu^#, “ZipZap: Efficient Training of Language Models for Ethereum Fraud Detection”, 2024, the Web conference. [paper] [code]
• T. Huang, S. Hu, L. Liu^#, "Vaccine: Perturbation-aware Alignment for Large Language Model", [paper] [code]
• F. Ilhan, KH. Chow, S. Hu, T. Huang, S. Tekin, W. Wei, Y. Wu, M. Lee, R. Kompella, H. Latapie, G. Liu, L. Liu^# , "Adaptive Deep Neural Network Inference Optimization With EENet", [paper] [code]
• S. Hu, T. Huang, F. Ilhan, S. Tekin, L. Liu^#, “Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives”, 2023, IEEE Trust, Privacy and Security. [paper] [code]
• T. Huang, S. Hu, KH. Chow, F. Ilhan, S. Tekin, L. Liu^#, “Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training”, 2023, NeurIPS. [paper] [code]
• S. Hu, Z. Zhang, B. Luo, S. Lu, B. He^#, L. Liu^#, “BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection”, 2023, the Web conference. [paper] [code] [slides]
• Y. Xia, Y. Cao, S. Hu^#, T. Liu, L. Lu, “Deep Intention-Aware Network for Click-Through Rate Prediction”, 2023, the Web conference. [paper]
• F. Ilhan, S. Tekin, S. Hu, T. Huang, K. Chow, L. Liu^#, “Hierarchical Deep Neural Network Inference for Device-Edge-Cloud Systems”, 2023, the Web conference. [paper]
• S. Hu, Z. Zhang, S. Lu, B. He^#, Z. Li, “Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump”, 2023, SIGMOD. [paper][code]
• Y. Cao*, S. Hu*, Y. Gong, Z. Li, Y. Yang, Q. Liu, W. Ou, S. Ji^#, “GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction”, 2022, CIKM. [paper] [code] [slides]
• S. Hu, X. Zhang^#, J. Zhou, S. Ji^#, J. Yuan, Z. Li, Z. Wang, Q. Chen, Q. He, L. Fang, “Turbo: Fraud detection in deposit-free leasing service via real-time behavior network mining”, 2021, ICDE. [paper]
• Z. Liu*, S. Hu*, Y. Yin, J. Chen^#, K. Chiew, L. Zhang, Z. Wu, “Interactive Rare-Category-of-Interest Mining from Large Datasets”, 2020, AAAI. [paper]
• X. Qi, K. Hou, T. Liu, Z. Yu, S. Hu, W. Ou, “From known to unknown: Knowledge-guided transformer for time-series sales forecasting in Alibaba”, [paper]

(* denotes co-first author, ^# denotes corresponding author)

Experience

Teaching/Research Assistant at Georgia Institute of Technology (Sep. 2022 ~ Present)

Research Assistant at National University of Singapore (Feb. 2022 ~ Aug. 2022)

Intern/Full-time Algorithm Engineer at Alibaba Group (2020 ~ 2021)

Service

• Invited Reviewer for KDD23, NeurIPS23, WWW24, CVPR24, ICLR24@LLMAgents
• Invited Reviewer for ACM Transactions on Internet Technology (TOIT)

Awards & Honors

• Champion of China Collegiate Computing Contest—Artificial Intelligence Innovation Contest (1/1049 teams), Oct. 2018