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Wang-Cheng Kang
Wang-Cheng Kang
Google DeepMind
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Title
Cited by
Cited by
Year
Self-Attentive Sequential Recommendation
WC Kang, J McAuley
IEEE International Conference on Data Mining (ICDM'18), 2018
25532018
Feature Learning based Deep Supervised Hashing with Pairwise Labels
WJ Li, S Wang, WC Kang
International Joint Conference on Artificial Intelligence (IJCAI'16), 2016
8132016
Translation-based Recommendation
R He, WC Kang, J McAuley
The ACM Recommender Systems conference (RecSys'17), 2017
4722017
Visually-Aware Fashion Recommendation and Design with Generative Image Models
WC Kang, C Fang, Z Wang, J McAuley
International Conference on Data Mining (ICDM'17), 2017
3312017
Column Sampling Based Discrete Supervised Hashing
WC Kang, WJ Li, ZH Zhou
AAAI Conference on Artificial Intelligence (AAAI'16), 2016
3062016
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation
A Yan, S Cheng, WC Kang, M Wan, J McAuley
ACM International Conference on Information and Knowledge Management (CIKM …, 2019
1262019
Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction
WC Kang*, J Ni*, N Mehta, M Sathiamoorthy, L Hong, E Chi, DZ Cheng
PGAI@CIKM'23, 2023
932023
Complete the Look: Scene-based Complementary Product Recommendation
WC Kang, E Kim, J Leskovec, C Rosenberg, J McAuley
IEEE Conference on Computer Vision and Pattern Recognition (CVPR'19), 2019
932019
Learning to Embed Categorical Features without Embedding Tables for Recommendation
WC Kang, DZ Cheng, T Yao, X Yi, T Chen, L Hong, EH Chi
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'21), Research …, 2021
71*2021
Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation
WC Kang, J McAuley
ACM International Conference on Information and Knowledge Management (CIKM'19), 2019
672019
Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior
R He, WC Kang, J McAuley
International Joint Conference on Artificial Intelligence (IJCAI'18), Sister …, 2018
552018
Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems
WC Kang, DZ Cheng, T Chen, X Yi, D Lin, L Hong, EH Chi
Innovation in Data Science workshop at The Web Conference 2020, IID@WWW'20, 2020
532020
Recommendation Through Mixtures of Heterogeneous Item Relationships
WC Kang, M Wan, J McAuley
ACM International Conference on Information and Knowledge Management (CIKM'18), 2018
462018
Generating user-customized items using a visually-aware image generation network
C Fang, Z Wang, W Kang, J Mcauley
US Patent 10,970,765, 2021
452021
Generating visually-aware item recommendations using a personalized preference ranking network
C Fang, Z Wang, W Kang, J McAuley
US Patent 11,100,400, 2021
272021
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems
B Coleman*, WC Kang*, M Fahrbach, R Wang, L Hong, EH Chi, ...
NeurIPS'23, 2023
72023
Learning Consumer and Producer Embeddings for User-Generated Content Recommendation
WC Kang, J McAuley
The ACM Recommender Systems conference (RecSys'18), 2018
72018
How to Train Data-Efficient LLMs
N Sachdeva, B Coleman, WC Kang, J Ni, L Hong, EH Chi, J Caverlee, ...
arXiv preprint arXiv:2402.09668, 2024
52024
Farzi Data: Autoregressive Data Distillation
N Sachdeva, Z He, WC Kang, J Ni, DZ Cheng, J McAuley
arXiv preprint arXiv:2310.09983, 2023
42023
Efficient Data Representation Learning in Google-scale Systems
DZ Cheng, R Wang, WC Kang, B Coleman, Y Zhang, J Ni, J Valverde, ...
Proceedings of the 17th ACM Conference on Recommender Systems (RecSys'23 …, 2023
12023
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