Yiran Qiao

Yiran Qiao

PhD student @ Institute of Computing Technology, CAS

I am a fourth-year Ph.D. student at the Institute of Computing Technology, Chinese Academy of Sciences (CAS), advised by Prof. Xiang Ao. Currently, I am visiting IRLab, University of Amsterdam (UvA), working with Prof. Maarten de Rijke. Before my doctoral studies, I received my B.Eng. degree in Electronic Engineering from Tsinghua University in 2022.

My research focuses on LLM-augmented user modeling and its applications in risk assessment and recommendation. I am particularly interested in bridging the gap between Large Language Models and dynamic user behavioral data streams.

I am always looking for new collaborations and Ph.D. research internship opportunities. Please feel free to contact me!

🔥 News

  • 2026.04:  🎉🎉 One paper is accepted by SIGIR 2026.
  • 2026.03:  🎉🎉 One paper is accepted by IEEE TKDE.
  • 2026.03:  🎉🎉 Starting my visit at IRLab, UvA.
  • 2025.11:  🎉🎉 One paper is accepted by KDD 2026.
  • 2024.12:  🎉🎉 One paper is accepted by AAAI 2025.

📝 Publications

(* Equal contribution)

SIGIR 2026Deja Vu in Plots: Leveraging Cross-Session Evidence with Retrieval-Augmented LLMs for Live Streaming Risk Assessment. [Paper]

Yiran Qiao, Xiang Ao, Jing Chen, Yang Liu, Qiwei Zhong, Qing He.

IEEE TKDEPassing on Wisdom: LLM-driven Cascaded Knowledge Distillation for Sequential Recommendation. [Paper]

Xiang Ao, Yiran Qiao, Ningtao Wang, Xing Fu, Yang Liu, Thapana Boonchoo, Weiqiang Wang, Qing He, Xueqi Cheng.

KDD 2026Live or Lie: Action-Aware Capsule Multiple Instance Learning for Risk Assessment in Live Streaming Platforms. [Paper] [Code] [Dataset]

Yiran Qiao, Jing Chen, Xiang Ao, Qiwei Zhong, Yang Liu, Qing He.

WSDM 2025LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework. [Paper]

Yiran Qiao, Xiang Ao, Yang Liu, Jiarong Xu, Xiaoqian Sun, Qing He.

AAAI 2025Online fraud detection via test-time retrieval-based representation enrichment. [Paper]

Yiran Qiao*, Ningtao Wang*, Yuncong Gao*, Yang Yang, Xing Fu, Weiqiang Wang, Xiang Ao.

ICDM 2024Financial Risk Assessment via Long-term Payment Behavior Sequence Folding. [Paper]

Yiran Qiao, Yateng Tang, Xiang Ao, Qi Yuan, Ziming Liu, Chen Shen, Xuehao Zheng.

📖 Educations

  • 2022.09 - (now), Ph.D. student in Computer Science, Institute of Computing Technology, Chinese Academy of Sciences.
  • 2018.09 - 2022.06, B.Eng. in Electronic Engineering, Tsinghua University.

💻 Experiences & Internships

  • 2026.03 - (now), Visiting Researcher at IRLab, University of Amsterdam, Netherlands.
  • 2025.04 - 2026.02, Research Intern at ByteDance, China.
  • 2024.04 - 2025.03, Research Intern at Ant Group, China.

🗺️ Visitors