I’m Yunxiao Shi (石韵虓xiāo), born in 1998 in Wuhan, China, and currently a fourth-year PhD candidate at the University of Technology Sydney, supervised by Prof. Min Xu and co-supervised by Prof. Qiang Wu. I am expected to graduate before July 2, 2026. I have published in leading venues such as ECAI, ACL, EMNLP, ICLR, ACM Multimedia, and ADMA, as well as journals including DMKD, TOIS, and Neurocomputing. I also serve as a regular reviewer for journals such as IEEE TKDE, IEEE TMM, Neural Networks, and Frontiers in AI. In addition, I am the Co-Founder of Achieva AI, the first AI agent for international student education consulting in Australia.
I am actively exploring research problems and potential collaborations in Personalized LLMs, Recommender Systems, Retrieval-Augmented Generation (RAG), AI Agents, and AI for Education. I am also currently seeking postdoctoral research opportunities. If you are interested, feel free to contact me at Yunxiao@student.uts.edu.au.
🎓 Education
- 2022.07 – Present, University of Technology Sydney, PhD Candidate in Information System
- 2021.09 – 2022.05, University of New South Wales, Coursework Master of Information Technology (Withdrew for Research)
🧾 Academic Publications
📊 Data Attribution
- Accumulative SGD Influence Estimator for Data Attribution [Preview]
Yunxiao Shi, Shuo Yang, Yixin Su, Rui Zhang, Min Xu
- MEGG: Replay via Maximally Extreme GG-score in Incremental Learning for Deep Recommendation Models [Preview]
Yunxiao Shi, Shuo Yang, Haimin Zhang, Li Wang, Yongze Wang, Qiang Wu, Min Xu
📚 RAG, Information Retrieval and Question Answering
- Answering Narrative-Driven Recommendation Queries via Retrieve-Rank Paradigm and the OCG-Agent [Preview]
Yunxiao Shi, Haoning Shang, Xing Zi, Wujiang Xu, Yue Feng, Min Xu
- A Learnable Agent Collaboration Network Framework for Personalized Multimodal AI Search Engine [Preview]
Yunxiao Shi, Min Xu, Haimin Zhang, Xing Zi, Qiang Xu
- Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems [Preview]
Yunxiao Shi, Xing Zi, Zijing Shi, Haimin Zhang, Qiang Xu, Min Xu
💡 LLM for Recommendation
- Distilling Large Language Models into Small for Sequential Recommendation [Preview]
Wujiang Xu, Qitian Wu, Zujie Liang, Jiaojiao Han, Xuying Ning, Yunxiao Shi, Wenfang Lin, Yongfeng Zhang
🤖 Agent and Recommendation
- AgentMatch: A Benchmark for Query-to-Agent Recommendation [Preview]
Yunxiao Shi, Wujiang Xu, Tingwei Chen, Haoning Shang, Yunfeng Wan, Zhuo Cao, Dimitris N. Metaxas, Min Xu
- PersonaX: A Recommendation Agent Oriented User Modeling Framework for Long Behavior Sequence [Preview]
Yunxiao Shi, Wujiang Xu, Zeqi Zhang, Xing Zi, Qiang Xu, Min Xu
- InstructAgent: Building User Controllable Recommender via LLM Agent [Preview]
Wujiang Xu, Yunxiao Shi, Zujie Liang, Xuying Ning, Kai Mei, Kun Wang, Xi Zhu, Min Xu, Yongfeng Zhang
📈 Traditional Recommender System
- Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction [Preview]
Yunxiao Shi, Wujiang Xu, Haimin Zhang, Qiang Wu, Min Xu
🛰️ Remote Sensing
- RSVLM-QA: A Benchmark Dataset for Remote Sensing Vision Language Model-based Question Answering [Preview]
Xing Zi, Jinghao Xiao, Yunxiao Shi, Xian Tao, Jun Li, Ali Braytee, Mukesh Prasad
- BDC Dataset: A Comprehensive Dataset for Automated Build Damage Classification [Preview]
Xing Zi, Yunxiao Shi, Taoyuan Zhu, Kairui Jin, Xian Tao, Jun Li, Karthick Thiyagarajan, Mukesh Prasad
🏅 Scholarship
- UTS–CSC Doctor of Philosophy (PhD) Scholarships Program, 2023.05 – 2026.07
- Vice-Chancellor’s Postgraduate Research Student Conference Fund, 2024
- UTS School of Electrical and Data Engineering Research Support Fund, 2024
🎓 Teaching Experience
Teaching Assistant (UTS)
- 48430 Fundamentals of C Programming, 2023.03 – 2024.06
- 41891/42891 Cloud Computing Infrastructure, 2022.07 – 2022.12
Tutor (Educational Institution)
- UTS 32513 Advanced Data Analytics Algorithms
- UTS 41043 Natural Language Processing
- USYD COMP5318/COMP4318 Machine Learning and Data Mining
- UNSW COMP9021 Principles of Programming