Wang-Cheng Kang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 30

Top Topics

Feature Representations

Product Recommendation

Recommender Systems

Top Venues

Publications

Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong, Ed H. Chi, James Caverlee, Julian J. McAuley, Derek Zhiyuan Cheng
How to Train Data-Efficient LLMs. CoRR (2024)
Narges Tabari, Aniket Anand Deshmukh, Wang-Cheng Kang, Hamed Zamani, Rashmi Gangadharaiah, Julian J. McAuley, George Karypis
First Workshop on Generative AI for Recommender Systems and Personalization. KDD (2024)
Wang-Cheng Kang, Jianmo Ni, Nikhil Mehta, Maheswaran Sathiamoorthy, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction. CoRR (2023)
Benjamin Coleman, Wang-Cheng Kang, Matthew Fahrbach, Ruoxi Wang, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems. CoRR (2023)
Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian J. McAuley
Farzi Data: Autoregressive Data Distillation. CoRR (2023)
Derek Zhiyuan Cheng, Ruoxi Wang, Wang-Cheng Kang, Benjamin Coleman, Yin Zhang, Jianmo Ni, Jonathan Valverde, Lichan Hong, Ed H. Chi
Efficient Data Representation Learning in Google-scale Systems. RecSys (2023)
Benjamin Coleman, Wang-Cheng Kang, Matthew Fahrbach, Ruoxi Wang, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems. NeurIPS (2023)
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)
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 (2020)
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)
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 (2020)
Wang-Cheng Kang, Julian John McAuley
Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation. CIKM (2019)
An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. CIKM (2019)
An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. CoRR (2019)
Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley
Complete the Look: Scene-Based Complementary Product Recommendation. CVPR (2019)
Wang-Cheng Kang, Julian J. McAuley
Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation. CoRR (2019)
Wang-Cheng Kang, Julian J. McAuley
Self-Attentive Sequential Recommendation. CoRR (2018)
Ruining He, Wang-Cheng Kang, Julian J. McAuley
Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior. IJCAI (2018)
Wang-Cheng Kang, Mengting Wan, Julian J. McAuley
Recommendation Through Mixtures of Heterogeneous Item Relationships. CoRR (2018)
Wang-Cheng Kang, Julian J. McAuley
Learning Consumer and Producer Embeddings for User-Generated Content Recommendation. CoRR (2018)
Wang-Cheng Kang, Julian J. McAuley
Self-Attentive Sequential Recommendation. ICDM (2018)
Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley
Complete the Look: Scene-based Complementary Product Recommendation. CoRR (2018)
Wang-Cheng Kang, Julian J. McAuley
Learning consumer and producer embeddings for user-generated content recommendation. RecSys (2018)
Wang-Cheng Kang, Mengting Wan, Julian J. McAuley
Recommendation Through Mixtures of Heterogeneous Item Relationships. CIKM (2018)
Ruining He, Wang-Cheng Kang, Julian J. McAuley
Translation-based Recommendation. RecSys (2017)
Ruining He, Wang-Cheng Kang, Julian J. McAuley
Translation-based Recommendation. CoRR (2017)
Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian J. McAuley
Visually-Aware Fashion Recommendation and Design with Generative Image Models. ICDM (2017)
Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian J. McAuley
Visually-Aware Fashion Recommendation and Design with Generative Image Models. CoRR (2017)
Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou
Column Sampling Based Discrete Supervised Hashing. AAAI (2016)
Wu-Jun Li, Sheng Wang, Wang-Cheng Kang
Feature Learning Based Deep Supervised Hashing with Pairwise Labels. IJCAI (2016)
Wu-Jun Li, Sheng Wang, Wang-Cheng Kang
Feature Learning based Deep Supervised Hashing with Pairwise Labels. CoRR (2015)