Wang-Cheng Kang

According to our database, Wang-Cheng Kang authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

How to Train Data-Efficient LLMs.

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

CoRR, 2024

2023

Farzi Data: Autoregressive Data Distillation.

Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian J. McAuley

CoRR, 2023

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

Wang-Cheng Kang, Jianmo Ni, Nikhil Mehta, Maheswaran Sathiamoorthy, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng

CoRR, 2023

Efficient Data Representation Learning in Google-scale Systems.

Derek Zhiyuan Cheng, Ruoxi Wang, Wang-Cheng Kang, Benjamin Coleman, Yin Zhang, Jianmo Ni, Jonathan Valverde, Lichan Hong, Ed H. Chi

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Learning to Embed Categorical Features without Embedding Tables for Recommendation.

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Building Visually-aware, Dynamic, and Efficient Recommender Systems

Wang-Cheng Kang

PhD thesis, 2020

Deep Hash Embedding for Large-Vocab Categorical Feature Representations.

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

CoRR, 2020

Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems.

Wang-Cheng Kang, Derek Zhiyuan Cheng, Ting Chen, Xinyang Yi, Dong Lin, Lichan Hong, Ed H. Chi

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

2019

Complete the Look: Scene-Based Complementary Product Recommendation.

Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

CosRec: 2D Convolutional Neural Networks for Sequential Recommendation.

An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation.

Wang-Cheng Kang, Julian John McAuley

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Learning consumer and producer embeddings for user-generated content recommendation.

Wang-Cheng Kang, Julian J. McAuley

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior.

Ruining He, Wang-Cheng Kang, Julian J. McAuley

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Self-Attentive Sequential Recommendation.

Wang-Cheng Kang, Julian J. McAuley

Proceedings of the IEEE International Conference on Data Mining, 2018

Recommendation Through Mixtures of Heterogeneous Item Relationships.

Wang-Cheng Kang, Mengting Wan, Julian J. McAuley

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Translation-based Recommendation.

Ruining He, Wang-Cheng Kang, Julian J. McAuley

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Visually-Aware Fashion Recommendation and Design with Generative Image Models.

Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian J. McAuley

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Feature Learning Based Deep Supervised Hashing with Pairwise Labels.

Wu-Jun Li, Sheng Wang, Wang-Cheng Kang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Column Sampling Based Discrete Supervised Hashing.

Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016