Guo, Huifeng

5 publications

NeurIPS 2025 P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models Tingjia Shen, Hao Wang, Chuhan Wu, Jin Yao Chin, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Ruiming Tang, Enhong Chen

NeurIPS 2025 Process vs. Outcome Reward: Which Is Better for Agentic RAG Reinforcement Learning Wenlin Zhang, Xiangyang Li, Kuicai Dong, Yichao Wang, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Derong Xu, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Xiangyu Zhao

AAAI 2024 D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations Pengyue Jia, Yichao Wang, Shanru Lin, Xiaopeng Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

AAAI 2023 Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li

IJCAI 2017 DeepFM: A Factorization-Machine Based Neural Network for CTR Prediction Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He