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Cheng, Derek Zhiyuan

  1. How to Train Data-Efficient LLMs
    2024/02/15 by Noveen Sachdeva, Benjamin Coleman, Sachdeva, Noveen +16 · 2 voices · 27 citations
    Computer Science · #cs.LG #cs.AI #cs.CL
  2. Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction
    2023/05/10 by Wang-Cheng Kang, Jianmo Ni, Kang, Wang-Cheng +11 · 21 citations
    Computer Science · #Expert finding and Q&A systems #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques #Topic Modeling
  3. A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation
    2020/10/29 by Yin Zhang⋆, Zhang, Yin, Derek Zhiyuan Cheng +9 · 9 citations
    Computer Science · Medicine · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Radiomics and Machine Learning in Medical Imaging #Recommender Systems and Techniques #Topic Modeling
  4. Learning to Embed Categorical Features without Embedding Tables for Recommendation
    2020/10/21 by Kang, Wang-Cheng, Cheng, Derek Zhiyuan, Yao, Tiansheng +4 · 8 citations
    #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  5. Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems
    2020/02/20 by Wang-Cheng Kang, Derek Zhiyuan Cheng, Kang, Wang-Cheng +11 · 6 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Topic Modeling
  6. Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)
    2022/10/25 by Yin Zhang⋆, Zhang, Yin, Ruoxi Wang +13 · 5 citations
    Computer Science · #Recommender Systems and Techniques #Sentiment Analysis and Opinion Mining #Machine Learning and ELM
  7. ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
    2025/02/19 by Yupeng Hou, Jianmo Ni, Hou, Yupeng +13 · 12 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning in Healthcare #Recommender Systems and Techniques #Topic Modeling
  8. Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
    2025/11/25 by Tianxin Wei, Wei, Tianxin, Noveen Sachdeva +27 · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation #Multimodal Machine Learning Applications #Topic Modeling
  9. HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer
    2023/05/27 by Kaize Ding, Albert Jiongqian Liang, Ding, Kaize +15 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Text and Document Classification Technologies #Topic Modeling