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Wang-Cheng Kang

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How to Train Data-Efficient LLMs

Feb 15, 2024
Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong, Ed H. Chi, James Caverlee, Julian McAuley, Derek Zhiyuan Cheng

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Farzi Data: Autoregressive Data Distillation

Oct 15, 2023
Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian McAuley

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Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems

May 20, 2023
Benjamin Coleman, Wang-Cheng Kang, Matthew Fahrbach, Ruoxi Wang, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng

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Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction

May 10, 2023
Wang-Cheng Kang, Jianmo Ni, Nikhil Mehta, Maheswaran Sathiamoorthy, Lichan Hong, Ed Chi, Derek Zhiyuan Cheng

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Deep Hash Embedding for Large-Vocab Categorical Feature Representations

Oct 21, 2020
Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi

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CosRec: 2D Convolutional Neural Networks for Sequential Recommendation

Aug 27, 2019
An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian McAuley

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Complete the Look: Scene-based Complementary Product Recommendation

Dec 04, 2018
Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian McAuley

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Self-Attentive Sequential Recommendation

Aug 20, 2018
Wang-Cheng Kang, Julian McAuley

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Visually-Aware Fashion Recommendation and Design with Generative Image Models

Nov 07, 2017
Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian McAuley

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Feature Learning based Deep Supervised Hashing with Pairwise Labels

Apr 21, 2016
Wu-Jun Li, Sheng Wang, Wang-Cheng Kang

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