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2020 – today
- 2024
[c17]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: 6737-6738- [c16]Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, James Caverlee, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng:
Improving Data Efficiency for Recommenders and LLMs. RecSys 2024: 790-792 - [i15]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 abs/2402.09668 (2024) - 2023
- [c15]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 - [c14]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: 267-271 - [i14]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 abs/2305.06474 (2023) - [i13]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 abs/2305.12102 (2023) - [i12]Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian J. McAuley:
Farzi Data: Autoregressive Data Distillation. CoRR abs/2310.09983 (2023) - 2021
- [c13]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 - 2020
- [b1]Wang-Cheng Kang:
Building Visually-aware, Dynamic, and Efficient Recommender Systems. University of California, San Diego, USA, 2020 - [c12]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 - [i11]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) - [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)
2010 – 2019
- 2019
- [c11]Wang-Cheng Kang, Julian John McAuley:
Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation. CIKM 2019: 1523-1532 - [c10]An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley:
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. CIKM 2019: 2173-2176 - [c9]Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley:
Complete the Look: Scene-Based Complementary Product Recommendation. CVPR 2019: 10532-10541 - [i9]An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley:
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. CoRR abs/1908.09972 (2019) - [i8]Wang-Cheng Kang, Julian J. McAuley:
Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation. CoRR abs/1909.05475 (2019) - 2018
- [c8]Wang-Cheng Kang, Mengting Wan, Julian J. McAuley:
Recommendation Through Mixtures of Heterogeneous Item Relationships. CIKM 2018: 1143-1152 - [c7]Wang-Cheng Kang, Julian J. McAuley:
Self-Attentive Sequential Recommendation. ICDM 2018: 197-206 - [c6]Ruining He, Wang-Cheng Kang, Julian J. McAuley:
Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior. IJCAI 2018: 5264-5268 - [c5]Wang-Cheng Kang, Julian J. McAuley:
Learning consumer and producer embeddings for user-generated content recommendation. RecSys 2018: 407-411 - [i7]Wang-Cheng Kang, Julian J. McAuley:
Self-Attentive Sequential Recommendation. CoRR abs/1808.09781 (2018) - [i6]Wang-Cheng Kang, Mengting Wan, Julian J. McAuley:
Recommendation Through Mixtures of Heterogeneous Item Relationships. CoRR abs/1808.10031 (2018) - [i5]Wang-Cheng Kang, Julian J. McAuley:
Learning Consumer and Producer Embeddings for User-Generated Content Recommendation. CoRR abs/1809.09739 (2018) - [i4]Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley:
Complete the Look: Scene-based Complementary Product Recommendation. CoRR abs/1812.01748 (2018) - 2017
- [c4]Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian J. McAuley:
Visually-Aware Fashion Recommendation and Design with Generative Image Models. ICDM 2017: 207-216 - [c3]Ruining He, Wang-Cheng Kang, Julian J. McAuley:
Translation-based Recommendation. RecSys 2017: 161-169 - [i3]Ruining He, Wang-Cheng Kang, Julian J. McAuley:
Translation-based Recommendation. CoRR abs/1707.02410 (2017) - [i2]Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian J. McAuley:
Visually-Aware Fashion Recommendation and Design with Generative Image Models. CoRR abs/1711.02231 (2017) - 2016
- [c2]Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou:
Column Sampling Based Discrete Supervised Hashing. AAAI 2016: 1230-1236 - [c1]Wu-Jun Li, Sheng Wang, Wang-Cheng Kang:
Feature Learning Based Deep Supervised Hashing with Pairwise Labels. IJCAI 2016: 1711-1717 - 2015
- [i1]Wu-Jun Li, Sheng Wang, Wang-Cheng Kang:
Feature Learning based Deep Supervised Hashing with Pairwise Labels. CoRR abs/1511.03855 (2015)
Coauthor Index
aka: Derek Zhiyuan Cheng
aka: Julian John McAuley
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last updated on 2024-10-23 21:21 CEST by the dblp team
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