Xinyang Yi

1. Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
   2023/06/13 by Anima Singh, Trung Nghia Vu, Trung Vu +24 · 1 voice · 25 citations
   Computer Science · #Recommender Systems and Techniques #Text and Document Classification Technologies #Topic Modeling
2. Leveraging LLM Reasoning Enhances Personalized Recommender Systems
   2024/07/22 by Alicia Y. Tsai, Adam Kraft, Tsai, Alicia Y. +18 · 1 voice · 13 citations
   Computer Science · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.IR #cs.LG
3. Regularized EM Algorithms: A Unified Framework and Statistical Guarantees
   2015/11/27 by Xinyang Yi, Constantine Caramanis, Yi, Xinyang +1 · 4 citations
   Computer Science · Engineering · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference
4. Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems
   2020/02/20 by Wang-Cheng Kang, Kang, Wang-Cheng, Derek Zhiyuan Cheng +11 · 5 citations
   Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Topic Modeling
5. Aligning Large Language Models with Recommendation Knowledge
   2024/03/30 by Yuwei Cao, Cao, Yuwei, Nikhil Mehta +13 · 6 citations
   Computer Science · #Topic Modeling #Natural Language Processing Techniques
6. Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)
   2022/10/25 by Yin Zhang⋆, Zhang, Yin, Ruoxi Wang +13 · 4 citations
   Computer Science · #Recommender Systems and Techniques #Sentiment Analysis and Opinion Mining #Machine Learning and ELM
7. Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization
   2016/08/19 by Xinyang Yi, Constantine Caramanis, Yi, Xinyang +3 · 2 citations
   Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST)
8. Online Matching: A Real-time Bandit System for Large-scale Recommendations
   2023/07/29 by Xinyang Yi, Yi, Xinyang, Shao-Chuan Wang +15 · 3 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Recommender Systems and Techniques
9. STAR: A Simple Training-free Approach for Recommendations using Large Language Models
   2024/10/21 by Dong‐Ho Lee, Lee, Dong-Ho, Kraft, Adam +12 · 3 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning in Healthcare #Recommender Systems and Techniques #Topic Modeling
10. Tokens are All You Need: Dual-purpose Semantic IDs for Achieving LLM-Level I/O Efficiency in recommendation systems
    2026/07/26 by Baolei Li, Yiping Yuan, Yilin Zheng +6
    #cs.IR #cs.AI #cs.LG