55 citations · 55 across the 2 of their papers we have counts for
3 papers
cs.IR2026
PAIR: Preference-Aligned Intent Retrieval for Premium People Recommendation at LinkedIn
Zhongkai Shangguan, Yanbin Kang, Yihan Cao +7
General-purpose embeddings trained on profile similarity often misrank candidates in professional networks, where relevance is inherently complementary rather than symmetric. For e…
cs.CL2025
Delta Knowledge Distillation for Large Language Models
Yihan Cao, Yanbin Kang, Zhengming Xing +1
Knowledge distillation (KD) is a widely adopted approach for compressing large neural networks by transferring knowledge from a large teacher model to a smaller student model. In t…
cs.LG2020★ 55 cited
Gradient Boosting Neural Networks: GrowNet
Sarkhan Badirli, Xuanqing Liu, Zhengming Xing +3
A novel gradient boosting framework is proposed where shallow neural networks are employed as ``weak learners''. General loss functions are considered under this unified framework…