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
- 🚀 I am expected to graduate in 2027.6 and actively seeking job opportunities.
- 2026.08: 🎉🎉 Two papers are accepted by EMNLP 2026 and ICDM 2026.
- 2026.06: 🎉🎉 One paper is accepted by ACM TIST.
- 2026.05: 🎉🎉 One paper is accepted by KDD 2026.
- 2026.04: 🎉🎉 One paper is accepted by SIGIR 2026.
📝 Publications
(* Equal contribution)
KDD 2026Outsmarting the Chameleon: Counterfactual Decoupling for Tactical OOD Shifts in Live Streaming Risk Assessment. [Paper] [Code] [Dataset]
Yiran Qiao, Jing Chen, Jiaqi Xu, Yang Liu, Qiwei Zhong, Xiang Ao.
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.
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.
EMNLP 2026LiveSim: Simulating Environment-Shaped Users in Multi-Agent Live-Stream Ecosystems [Paper]
Jiaqi Xu*, Yiran Qiao*, Jing Chen, Qiwei Zhong, Xiang Ao, and Xueqi Cheng.
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.
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.
ACM TISTLOGIN: A Large Language Model Consulted Graph Neural Network Training Framework. [Paper]
Yiran Qiao, Xiang Ao, Yang Liu, Jiarong Xu, Xiaoqian Sun, Qing He.
ICDM 2026User Representation via Cross Multi-source Behavior Pre-training for Mobile Games [Paper]
Chengqi Yang, Yiran Qiao, Feng Liu, Xingyu Lou, Zijun Zhou, Xiaoyun Mo, Changwang Zhang, Jiayuan Xu, Jun Wang, and Xiang Ao.
📖 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 (Jindouyun Talent Program) at ByteDance, China.
- 2024.04 - 2025.03, Research Intern at Ant Group, China.
💝 Services
- Program Committee / Conference Reviewer: AAAI 2026/2027, WWW 2025/2026, KDD 2024/2026, SIGIR 2026, ICDM 2026, WSDM 2027.