Sun Zhu

1. Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Yew-Soon Ong. A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. The 39th IEEE International Conference on Data Engineering (ICDE), 2023.

2. Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew-Soon Ong. Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022.

3. Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang. DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation.IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, Impact Factor: 24.31), 2022.

4. Lu Zhang, Zhu Sun (corresponding author), Ziqing Wu, Jie Zhang, Ong Yew Soon, Xinghua Qu. Next Point-of-Interest Recommendation with Inferring Multi-step Future Preference. The 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022.

5. Lu Zhang, Zhu Sun (corresponding author), Jie Zhang, Yiwen Wu, Yunwen Xia. Conversation-based Adaptive Relational Translation Method for Next POI Recommendation with Uncertain Check-ins. IEEE Transactions on Neural Networks and Learning Systems (TNNLS, Impact Factor: 14.26), 2022.

6. Xiao Sha, Zhu Sun (corresponding author), Jie Zhang, Yew Soon Ong. Who Wants to Shop with You: Joint Product-Participant Recommendation for Group-Buying Service. IEEE Transactions on Neural Networks and Learning Systems (TNNLS, Impact Factor: 14.26), 2022.

7. Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew-Soon Ong, Zejun Ma. Synthesising Audio Adversarial Examples for Automatic Speech Recognition. The 28th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022.

8. Xinghua Qu, Ong Yew Soon, Abhishek Gupta, Pengfei Wei, Zhu Sun. Importance Prioritized Policy Distillation. The 28th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022.

9. Qin Ying, Danning Zhang, Hui Fang, Zhu Sun. Purpose Tendency-aware Diversified Strategy for Session-based Recommendation. Electronic Commerce Research and Applications (ECRA, Impact Factor: 5.622), 2022.

10. Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, Chee Keong Kwoh and Chi Xu. Attention over Self-attention: Dynamic Re-ranking with User Intentions for Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE, Impact Factor: 6.977), 2022.

11. Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Zhu Sun. Adversary Agnostic Robust Deep Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS, Impact Factor: 8.793), 2021.