Zhangchi Zhu

According to our database, Zhangchi Zhu authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation.

Minhao Wang, Yunhang He, Cong Xu, Zhangchi Zhu, Wei Zhang

CoRR, August, 2025

Preference-Consistent Knowledge Distillation for Recommender System.

Zhangchi Zhu, Wei Zhang

IEEE Trans. Knowl. Data Eng., April, 2025

Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective.

Zhangchi Zhu, Wei Zhang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

Exploring Feature-based Knowledge Distillation For Recommender System: A Frequency Perspective.

Zhangchi Zhu, Wei Zhang

CoRR, 2024

Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders.

Cong Xu, Zhangchi Zhu, Mo Yu, Jun Wang, Jianyong Wang, Wei Zhang

CoRR, 2024

Understanding the Role of Cross-Entropy Loss in Fairly Evaluating Large Language Model-based Recommendation.

Cong Xu, Zhangchi Zhu, Jun Wang, Jianyong Wang, Wei Zhang

CoRR, 2024

Contrastive Learning with Negative Sampling Correction.

Lu Wang, Chao Du, Pu Zhao, Chuan Luo, Zhangchi Zhu, Bo Qiao, Wei Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

CoRR, 2024

2023

From Input to Output: A Multi-layer Knowledge Distillation Framework for Compressing Recommendation Models.

Zhangchi Zhu, Wei Zhang

CoRR, 2023

Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction.

Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023