NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution. - Chenglong Ma 001; Yongli Ren; Pablo Castells; Mark Sanderson (CIKM, 2022)

Evaluation of Herd Behavior Caused by Population-scale Concept Drift in Collaborative Filtering. - Chenglong Ma 001; Yongli Ren; Pablo Castells; Mark Sanderson (SIGIR, 2022)

Temporal Conformity-aware Hawkes Graph Network for Recommendations. - Chenglong Ma 001; Yongli Ren; Pablo Castells; Mark Sanderson (WWW, 2024)

Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems. - Xinye Wanyan; Danula Hettiachchi; Chenglong Ma 001; Ziqi Xu 001; Jeffrey Chan (CIKM, 2025)

PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation. - Chenglong Ma 001; Ziqi Xu 001; Yongli Ren; Danula Hettiachchi; Jeffrey Chan (SIGIR, 2025)

Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory. - Ziqi Xu 001; Chenglong Ma 001; Yongli Ren; Jeffrey Chan; Wei Shao 006; Feng Xia 001 (WWW (Companion Volume), 2025)

Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025). - Johanne R. Trippas; J. Shane Culpepper; Mohammad Aliannejadi; James Allan 001; Enrique Amigó; Jaime Arguello; Leif Azzopardi; Peter Bailey; Jamie Callan; Rob Capra 001; Nick Craswell; W. Bruce Croft; et al. (SIGIR Forum, 2025)

RMIT-ADM+S at the MMU-RAG NeurIPS 2025 Competition. - Kun Ran; Marwah Alaofi; Danula Hettiachchi; Chenglong Ma 001; Khoi Nguyen Dinh Anh; Khoi Vo Nguyen; Sachin Pathiyan Cherumanal; Lida Rashidi; Falk Scholer; Damiano Spina; Shuoqi Sun; Oleg Zendel (CoRR, 2026)

Task-Aware Automated User Profile Generation for Recommendation Simulation Using Large Language Models. - Xinye Wanyan; Chenglong Ma 001; Danula Hettiachchi; Ziqi Xu 001; Jeffrey Chan (CoRR, 2026)