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Xinyang Yi
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2020 – today
- 2024
- [c30]Alicia Tsai, Adam Kraft, Long Jin, Chenwei Cai, Anahita Hosseini, Taibai Xu, Zemin Zhang, Lichan Hong, Ed Huai-hsin Chi, Xinyang Yi:
Leveraging LLM Reasoning Enhances Personalized Recommender Systems. ACL (Findings) 2024: 13176-13188 - [c29]Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan Hulikal Keshavan, Lukasz Heldt, Lichan Hong, Ed H. Chi, Maheswaran Sathiamoorthy:
Aligning Large Language Models with Recommendation Knowledge. NAACL-HLT (Findings) 2024: 1051-1066 - [c28]Yuening Li
, Diego Uribe
Short-form Video Needs Long-term Interests: An Industrial Solution for Serving Large User Sequence Models. RecSys 2024: 832-834 - [c27]Anima Singh
Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations. RecSys 2024: 1039-1044 - [i23]Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan H. Keshavan, Lukasz Heldt, Lichan Hong, Ed H. Chi, Maheswaran Sathiamoorthy:
Aligning Large Language Models with Recommendation Knowledge. CoRR abs/2404.00245 (2024) - [i22]Alicia Tsai, Adam Kraft, Long Jin, Chenwei Cai, Anahita Hosseini, Taibai Xu, Zemin Zhang, Lichan Hong, Ed H. Chi, Xinyang Yi:
Leveraging LLM Reasoning Enhances Personalized Recommender Systems. CoRR abs/2408.00802 (2024) - [i21]Dong-Ho Lee, Adam Kraft, Long Jin, Nikhil Mehta, Taibai Xu, Lichan Hong, Ed H. Chi, Xinyang Yi:
STAR: A Simple Training-free Approach for Recommendations using Large Language Models. CoRR abs/2410.16458 (2024) - 2023
- [c26]Jiaxi Tang
Improving Training Stability for Multitask Ranking Models in Recommender Systems. KDD 2023: 4882-4893 - [c25]Yin Zhang
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN). KDD 2023: 5608-5617 - [c24]Xinyang Yi
Online Matching: A Real-time Bandit System for Large-scale Recommendations. RecSys 2023: 403-414 - [i20]Jiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi:
Improving Training Stability for Multitask Ranking Models in Recommender Systems. CoRR abs/2302.09178 (2023) - [i19]Anima Singh, Trung Vu, Raghunandan H. Keshavan, Nikhil Mehta, Xinyang Yi, Lichan Hong, Lukasz Heldt, Li Wei, Ed H. Chi, Maheswaran Sathiamoorthy:
Better Generalization with Semantic IDs: A case study in Ranking for Recommendations. CoRR abs/2306.08121 (2023) - [i18]Xinyang Yi, Shao-Chuan Wang, Ruining He, Hariharan Chandrasekaran, Charles Wu, Lukasz Heldt, Lichan Hong, Minmin Chen, Ed H. Chi:
Online Matching: A Real-time Bandit System for Large-scale Recommendations. CoRR abs/2307.15893 (2023) - [i17]Nikhil Mehta, Anima Singh, Xinyang Yi, Sagar Jain, Lichan Hong, Ed H. Chi:
Density Weighting for Multi-Interest Personalized Recommendation. CoRR abs/2308.01563 (2023) - 2022
- [c23]Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi:
Improving Multi-Task Generalization via Regularizing Spurious Correlation. NeurIPS 2022 - [c22]Hongyi Wen, Xinyang Yi, Tiansheng Yao, Jiaxi Tang, Lichan Hong, Ed H. Chi:
Distributionally-robust Recommendations for Improving Worst-case User Experience. WWW 2022: 3606-3610 - [i16]Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi:
Improving Multi-Task Generalization via Regularizing Spurious Correlation. CoRR abs/2205.09797 (2022) - [i15]Konstantina Christakopoulou, Can Xu, Sai Zhang, Sriraj Badam, Trevor Potter, Daniel Li, Hao Wan, Xinyang Yi, Ya Le, Chris Berg, Eric Bencomo Dixon, Ed H. Chi, Minmin Chen:
Reward Shaping for User Satisfaction in a REINFORCE Recommender. CoRR abs/2209.15166 (2022) - [i14]Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi:
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN). CoRR abs/2210.14309 (2022) - 2021
- [c21]Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei:
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. AISTATS 2021: 928-936 - [c20]Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Ting Chen, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi (Jay) Kang, Evan Ettinger:
Self-supervised Learning for Large-scale Item Recommendations. CIKM 2021: 4321-4330 - [c19]Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi:
Learning to Embed Categorical Features without Embedding Tables for Recommendation. KDD 2021: 840-850 - [c18]Yin Zhang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, Ed H. Chi:
A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation. WWW 2021: 2220-2231 - 2020
- [c17]Ji Yang, Xinyang Yi, Derek Zhiyuan Cheng, Lichan Hong, Yang Li, Simon Xiaoming Wang, Taibai Xu, Ed H. Chi:
Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations. WWW (Companion Volume) 2020: 441-447 - [c16]Jiaqi Ma
Off-policy Learning in Two-stage Recommender Systems. WWW 2020: 463-473 - [c15]Wang-Cheng Kang, Derek Zhiyuan Cheng, Ting Chen, Xinyang Yi, Dong Lin, Lichan Hong, Ed H. Chi:
Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems. WWW (Companion Volume) 2020: 562-566 - [c14]Jyun-Yu Jiang, Tao Wu, Georgios Roumpos, Heng-Tze Cheng, Xinyang Yi, Ed H. Chi, Harish Ganapathy, Nitin Jindal, Pei Cao, Wei Wang
End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms. WWW 2020: 2870-2877 - [i13]Wang-Cheng Kang, Derek Zhiyuan Cheng, Ting Chen, Xinyang Yi, Dong Lin, Lichan Hong, Ed H. Chi:
Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems. CoRR abs/2002.08530 (2020) - [i12]Jiaqi Ma
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. CoRR abs/2006.05067 (2020) - [i11]Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi Kang, Evan Ettinger:
Self-supervised Learning for Deep Models in Recommendations. CoRR abs/2007.12865 (2020) - [i10]Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi:
Deep Hash Embedding for Large-Vocab Categorical Feature Representations. CoRR abs/2010.10784 (2020) - [i9]Yin Zhang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, Ed H. Chi:
A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation. CoRR abs/2010.15982 (2020)
2010 – 2019
- 2019
- [c13]Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson:
Efficient Training on Very Large Corpora via Gramian Estimation. ICLR (Poster) 2019 - [c12]Zhe Zhao, Lichan Hong, Li Wei, Jilin Chen, Aniruddh Nath, Shawn Andrews, Aditee Kumthekar, Maheswaran Sathiamoorthy, Xinyang Yi, Ed H. Chi:
Recommending what video to watch next: a multitask ranking system. RecSys 2019: 43-51 - [c11]Xinyang Yi, Ji Yang, Lichan Hong, Derek Zhiyuan Cheng, Lukasz Heldt, Aditee Kumthekar, Zhe Zhao, Li Wei, Ed H. Chi:
Sampling-bias-corrected neural modeling for large corpus item recommendations. RecSys 2019: 269-277 - [i8]Xinyang Yi, Zhaoran Wang, Zhuoran Yang, Constantine Caramanis, Han Liu:
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning. CoRR abs/1907.06257 (2019) - 2018
- [j1]Yudong Chen, Xinyang Yi
Convex and Nonconvex Formulations for Mixed Regression With Two Components: Minimax Optimal Rates. IEEE Trans. Inf. Theory 64(3): 1738-1766 (2018) - [c10]Jiaqi Ma
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts. KDD 2018: 1930-1939 - [i7]Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson:
Efficient Training on Very Large Corpora via Gramian Estimation. CoRR abs/1807.07187 (2018) - 2017
- [c9]Tianyang Li, Xinyang Yi, Constantine Caramanis, Pradeep Ravikumar:
Minimax Gaussian Classification & Clustering. AISTATS 2017: 1-9 - 2016
- [c8]Xinyang Yi, Dohyung Park, Yudong Chen, Constantine Caramanis:
Fast Algorithms for Robust PCA via Gradient Descent. NIPS 2016: 4152-4160 - [c7]Xinyang Yi, Zhaoran Wang, Zhuoran Yang, Constantine Caramanis, Han Liu:
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning. NIPS 2016: 4475-4483 - [i6]Xinyang Yi, Dohyung Park, Yudong Chen, Constantine Caramanis:
Fast Algorithms for Robust PCA via Gradient Descent. CoRR abs/1605.07784 (2016) - [i5]Xinyang Yi, Constantine Caramanis, Sujay Sanghavi:
Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization. CoRR abs/1608.05749 (2016) - 2015
- [c6]Ye Wang, Meng Li, Xinyang Yi, Zhao Song, Michael Orshansky, Constantine Caramanis
Novel power grid reduction method based on L1 regularization. DAC 2015: 93:1-93:6 - [c5]Xinyang Yi, Constantine Caramanis, Eric Price:
Binary Embedding: Fundamental Limits and Fast Algorithm. ICML 2015: 2162-2170 - [c4]Xinyang Yi, Zhaoran Wang, Constantine Caramanis, Han Liu:
Optimal Linear Estimation under Unknown Nonlinear Transform. NIPS 2015: 1549-1557 - [c3]Xinyang Yi, Constantine Caramanis:
Regularized EM Algorithms: A Unified Framework and Statistical Guarantees. NIPS 2015: 1567-1575 - [i4]Xinyang Yi, Constantine Caramanis, Eric Price:
Binary Embedding: Fundamental Limits and Fast Algorithm. CoRR abs/1502.05746 (2015) - [i3]Xinyang Yi, Zhaoran Wang, Constantine Caramanis, Han Liu:
Optimal linear estimation under unknown nonlinear transform. CoRR abs/1505.03257 (2015) - [i2]Xinyang Yi, Constantine Caramanis:
Regularized EM Algorithms: A Unified Framework and Provable Statistical Guarantees. CoRR abs/1511.08551 (2015) - 2014
- [c2]Yudong Chen, Xinyang Yi, Constantine Caramanis:
A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates. COLT 2014: 560-604 - [c1]Xinyang Yi, Constantine Caramanis, Sujay Sanghavi:
Alternating Minimization for Mixed Linear Regression. ICML 2014: 613-621 - 2013
- [i1]Yudong Chen, Xinyang Yi, Constantine Caramanis:
A Convex Formulation for Mixed Regression: Near Optimal Rates in the Face of Noise. CoRR abs/1312.7006 (2013)
Coauthor Index
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