Biography

I’m a first-year PhD student from School of EECS, The University of Queensland (UQ), supervised by Prof. Hongzhi Yin and and A/Prof. Tong Chen. Previously, from July to September 2024, I did a research internship at Tsinghua University, working under the guidance of Dr. Chen Gao. In June 2024, I completed my master’s degree at Chongqing University, under the supervision of Prof. Junhao Wen.

My research interests mainly include:

  • Sequential Recommendation / Session-based Recommendation
  • LLM-based Recommendation
  • Generative Recommendation
  • Shilling Attack

News

  • JAN. 21, 2026We released a new paper on Semantic IDs in Generative Recommendation (An Empirical Study).
  • AUG. 04, 2025We released a new paper on Shilling Attack in Recommender Systems.
  • MAR. 07, 2025We released a new survey paper on LLM Agent in information retrieval.

Survey

  1. A survey of large language model empowered agents for recommendation and search: Towards next-generation information retrieval
    Arxiv, 2025
    Yu Zhang, Shutong Qiao (co-first author; listed 2nd), Jiaqi Zhang, Tzu-Heng Lin, Chen Gao, Yong Li

Selected Publications

  1. Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation
    ACM Transactions on Information Systems (TOIS) [CCF-A], 2025
    Shutong Qiao, Wei Zhou, Junhao Wen, Chen Gao, Qun Luo, Peixuan Chen, Yong Li
  2. Bi-channel multiple sparse graph attention networks for session-based recommendation
    ACM International Conference on Information and Knowledge Management (CIKM) [CCF-B], 2023
    Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Zhang, Min Gao
  3. Noise-reducing graph neural network with intent-target co-action for session-based recommendation Information Processing & Management (IPM) [CCF-B], 2023
    Shutong Qiao, Wei Zhou, Fengji Luo, Junhao Wen

Other Publications

  1. When Text-as-Vision Meets Semantic IDs in Generative Recommendation: An Empirical Study
    Arxiv, 2026
    Shutong Qiao, Wei Yuan, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
  2. Controllable and Stealthy Shilling Attacks via Dispersive Latent Diffusion
    Arxiv, 2025
    Shutong Qiao, Wei Yuan, Junliang Yu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
  3. LLM-based Bi-level Multi-interest Learning Framework for Sequential Recommendation
    Arxiv, 2024
    Shutong Qiao, Chen Gao, Wei Yuan, Yong Li, Hongzhi Yin
  4. Multiple hypergraph convolutional network social recommendation using dual contrastive learning
    Data Mining and Knowledge Discovery [CCF-B], 2024
    Hongyu Wang, Wei Zhou, Junhao Wen, Shutong Qiao
  5. Enhancing sequential recommendation with contrastive generative adversarial network Information Processing & Management (IPM) [CCF-B], 2023
    Shuang Ni, Wei Zhou, Junhao Wen, Linfeng Hu, Shutong Qiao
  6. Multi-perspective enhanced representation for effective session-based recommendation Knowledge-Based Systems (KBS) [CCF-C], 2023
    Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Wang, Linfeng Hu, Shuang Ni

Awards

  1. China Scholarship Council (CSC) Scholarship, 2024
  2. China National Scholarship, 2024
  3. Excellent Graduate, Chongqing University, 2024.