Hailing Cheng

According to our database, Hailing Cheng authored at least 6 papers between 2024 and 2026.

Collaborative distances:

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

2026

Learning to Rotate: Temporal and Semantic Rotary Encoding for Sequential Modeling.

Hailing Cheng, Daqi Sun, Xinyu Lu

CoRR, April, 2026

Scalable Hyperparameter-Divergent Ensemble Training with Automatic Learning Rate Exploration for Large Models.

Hailing Cheng, Tao Huang, Chen Zhu, Antonio Alonso

CoRR, April, 2026

Beyond Interleaving: Causal Attention Reformulations for Generative Recommender Systems.

Hailing Cheng

CoRR, March, 2026

Isotonic Layer: A Universal Framework for Generic Recommendation Debiasing.

Hailing Cheng, Yafang Yang, Hemeng Tao, Fengyu Zhang

CoRR, March, 2026

An Industrial-Scale Sequential Recommender for LinkedIn Feed Ranking.

Lars Hertel, Gaurav Srivastava, Syed Ali Naqvi, Satyam Kumar, Yue Zhang, Borja Ocejo, Benjamin Zelditch, Adrian Englhardt, Hailing Cheng, Andy Hu, Antonio Alonso, Daming Li, Siddharth Dangi, Chen Zhu, Mingzhou Zhou, Wanning Li, Tao Huang, Fedor Borisyuk, Ganesh Parameswaran, Birjodh Singh Tiwana, Sriram Sankar, Qing Lan, Julie Choi, Souvik Ghosh

CoRR, February, 2026

2024

LiRank: Industrial Large Scale Ranking Models at LinkedIn.

Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Singh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024