About Me

Jiahao Liu is a fifth-year PhD candidate in Computer Science at Fudan University. He holds a Bachelor's degree in Statistics and Computer Science. His research interests include RecSys, LLM, and HCI.

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Publications

(* means equal contributions.)

• LLM Agent-based Shilling Attack on Recommender Systems
  Shengkang Gu*, Jiahao Liu*, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Ning Gu, Li Shang and Tun Lu.
  Proceedings of the 17th ACM International Conference on Web Search and Data Mining (WSDM, CCF B). 2025
• EvalAgent: Towards Evaluating News Recommender Systems with LLM-based Agents
  Guangping Zhang, Peng Zhang, Jiahao Liu, Zhuoheng Li, Dongsheng Li, Hansu Gu, Tun Lu and Ning Gu.
  The 34th ACM International Conference on Information and Knowledge Management (CIKM, CCF B). 2025
• Unbiased Collaborative Filtering with Fair Sampling
  Jiahao Liu, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Li Shang and Ning Gu
  The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR, CCF A). 2025
• Improving LLM-powered Recommendations with Personalized Information
  Jiahao Liu*, Xueshuo Yan*, Dongsheng Li, Guangping Zhang, Hansu Gu, Peng Zhang, Tun Lu, Li Shang and Ning Gu
  The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR, CCF A). 2025
• AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations
  Jiahao Liu*, Shengkang Gu*, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Tun Lu, Li Shang and Ning Gu
  The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR, CCF A). 2025
• FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation
  Mingzhe Han, Dongsheng Li, Jiafeng Xia, Jiahao Liu, Hansu Gu, Peng Zhang, Ning Gu and Tun Lu
  The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR, CCF A). 2025
• Filtering Discomforting Recommendations with Large Language Models
  Jiahao Liu, Yiyang Shao, Peng Zhang, Dongsheng Li, Hansu Gu, Chao Chen, Longzhi Du, Tun Lu and Ning Gu
  The Web Conference (WWW, CCF A). 2025
• AutoSeqRec: Autoencoder for Efficient Sequential Recommendation
  Sijia Liu*, Jiahao Liu*, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang and Ning Gu
  The 32th ACM International Conference on Information and Knowledge Management (CIKM, CCF B). 2023
• Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation
  Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang and Ning Gu
  The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR, CCF A). 2023
• Personalized Graph Signal Processing for Collaborative Filtering
  Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang and Ning Gu
  The Web Conference (WWW, CCF A). 2023
• Parameter-free Dynamic Graph Embedding for Link Prediction
  Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang and Ning Gu
  The Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS, CCF A). 2022
• FIRE: Fast Incremental Recommendation with Graph Signal Processing
  Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu and Ning Gu
  The Web Conference (WWW, CCF A). 2022

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