Search Results - Yi, Xinyang

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  1. 1
    HIGH-PERFORMANCE THIRD-GENERATION DUAL-COLOR GRAB SENSORS FOR IMAGING DOPAMINERGIC ACTIVITY IN VIVO

    HIGH-PERFORMANCE THIRD-GENERATION DUAL-COLOR GRAB SENSORS FOR IMAGING DOPAMINERGIC ACTIVITY IN VIVO by Zhuo, Yizhou, Luo, Bin, Yi, Xinyang, Dong, Hui, Wan, Jinxia, Qian, Tongrui, Cai, Ruyi, Li, Yulong

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  2. 2
    Convex and Nonconvex Formulations for Mixed Regression With Two Components: Minimax Optimal Rates

    Convex and Nonconvex Formulations for Mixed Regression With Two Components: Minimax Optimal Rates by Chen, Yudong, Yi, Xinyang, Caramanis, Constantine

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  3. 3
    Novel power grid reduction method based on L1 regularization

    Novel power grid reduction method based on L1 regularization by Ye Wang, Meng Li, Xinyang Yi, Zhao Song, Orshansky, Michael, Caramanis, Constantine

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  4. 4
    Magnetic/Acoustic Dual‐Controlled Microrobot Overcoming Oto‐Biological Barrier for On‐Demand Multidrug Delivery against Hearing Loss

    Magnetic/Acoustic Dual‐Controlled Microrobot Overcoming Oto‐Biological Barrier for On‐Demand Multidrug Delivery against Hearing Loss by Yi, Xinyang, Guo, Lifang, Zeng, Qi, Huang, Suling, Wen, Dingsheng, Wang, Chu, Kou, Yuwei, Zhang, Ming, Li, Huaan, Wen, Lu, Chen, Gang

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  5. 5
    Psychological and Contextual Predictors of Online Video Use: A Latent Profile Analysis

    Psychological and Contextual Predictors of Online Video Use: A Latent Profile Analysis by Ren, Wei, Zhu, Xiaowen, Yi, Xinyang, Liu, Jiatong

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  6. 6
    Dendrimers-merging biomimics and photoenergy conversion

    Dendrimers-merging biomimics and photoenergy conversion by Liu, Xinyang, Zeng, Yi, Zhang, Xiaohui, Yu, Tianjun, Chen, Jinping, Li, Yi

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  7. 7
    Improving Training Stability for Multitask Ranking Models in Recommender Systems

    Improving Training Stability for Multitask Ranking Models in Recommender Systems by Tang, Jiaxi, Drori, Yoel, Chang, Daryl, Maheswaran Sathiamoorthy, Gilmer, Justin, Li, Wei, Yi, Xinyang, Hong, Lichan, Chi, Ed H

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  8. 8
    STAR: A Simple Training-free Approach for Recommendations using Large Language Models

    STAR: A Simple Training-free Approach for Recommendations using Large Language Models by Dong-Ho, Lee, Kraft, Adam, Long, Jin, Mehta, Nikhil, Xu, Taibai, Hong, Lichan, Chi, Ed H, Yi, Xinyang

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  9. 9
    Density Weighting for Multi-Interest Personalized Recommendation

    Density Weighting for Multi-Interest Personalized Recommendation by Mehta, Nikhil, Singh, Anima, Yi, Xinyang, Jain, Sagar, Hong, Lichan, Chi, Ed H

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  10. 10
    Aligning Large Language Models with Recommendation Knowledge

    Aligning Large Language Models with Recommendation Knowledge by Cao, Yuwei, Mehta, Nikhil, Yi, Xinyang, Keshavan, Raghunandan, Heldt, Lukasz, Hong, Lichan, Chi, Ed H, Maheswaran Sathiamoorthy

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  11. 11
    Regularized EM Algorithms: A Unified Framework and Statistical Guarantees

    Regularized EM Algorithms: A Unified Framework and Statistical Guarantees by Yi, Xinyang, Caramanis, Constantine

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  12. 12
    Improving Multi-Task Generalization via Regularizing Spurious Correlation

    Improving Multi-Task Generalization via Regularizing Spurious Correlation by Hu, Ziniu, Zhao, Zhe, Yi, Xinyang, Yao, Tiansheng, Hong, Lichan, Sun, Yizhou, Chi, Ed H

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  13. 13
    Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)

    Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN) by Zhang, Yin, Wang, Ruoxi, Yao, Tiansheng, Yi, Xinyang, Hong, Lichan, Caverlee, James, Chi, Ed H, Derek Zhiyuan Cheng

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  14. 14
    Leveraging LLM Reasoning Enhances Personalized Recommender Systems

    Leveraging LLM Reasoning Enhances Personalized Recommender Systems by Tsai, Alicia Y, Kraft, Adam, Long, Jin, Cai, Chenwei, Hosseini, Anahita, Xu, Taibai, Zhang, Zemin, Hong, Lichan, Chi, Ed H, Yi, Xinyang

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  15. 15
    Online Matching: A Real-time Bandit System for Large-scale Recommendations

    Online Matching: A Real-time Bandit System for Large-scale Recommendations by Yi, Xinyang, Shao-Chuan, Wang, He, Ruining, Chandrasekaran, Hariharan, Wu, Charles, Heldt, Lukasz, Hong, Lichan, Chen, Minmin, Chi, Ed H

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  16. 16
    Binary Embedding: Fundamental Limits and Fast Algorithm

    Binary Embedding: Fundamental Limits and Fast Algorithm by Yi, Xinyang, Caramanis, Constantine, Price, Eric

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  17. 17
    Better Generalization with Semantic IDs: A case study in Ranking for Recommendations

    Better Generalization with Semantic IDs: A case study in Ranking for Recommendations by Singh, Anima, Vu, Trung, Keshavan, Raghunandan, Mehta, Nikhil, Yi, Xinyang, Hong, Lichan, Heldt, Lukasz, Li, Wei, Chi, Ed, Maheswaran Sathiamoorthy

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  18. 18
    More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning

    More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning by Yi, Xinyang, Wang, Zhaoran, Yang, Zhuoran, Caramanis, Constantine, Liu, Han

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  19. 19
    A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation

    A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation by Zhang, Yin, Derek Zhiyuan Cheng, Yao, Tiansheng, Yi, Xinyang, Hong, Lichan, Chi, Ed H

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  20. 20
    Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model

    Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model by Ma, Jiaqi, Yi, Xinyang, Tang, Weijing, Zhao, Zhe, Hong, Lichan, Chi, Ed H, Qiaozhu Mei

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