Zhu Sun

Top-aware recommender distillation with deep reinforcement learning

Xinghua Qu, Hongyang Liu, Zhu Sun, 2021, Inf. Sci..

Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison

Jie Yang, Zhu Sun, Di Yu, 2020, RecSys.

LibRec: A Java Library for Recommender Systems

Neil Yorke-Smith, Guibing Guo, Zhu Sun, 2015, UMAP Workshops.

Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects

Y. Ong, Zejun Ma, Xinghua Qu, 2023, SIGIR.

Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy

Y. Ong, Pengfei Wei, Xinghua Qu, 2019, ArXiv.

Does Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data

Xiaochun Yang, Yatong Sun, Bin Wang, 2021, IJCAI.