Wang-Cheng Kang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
10
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WSDM | Third Workshop on Generative AI for Recommender Systems and Personalization. | Narges Tabari, Aniket Deshmukh, Wang-Cheng Kang, Julian J. McAuley, James Caverlee, Neil Shah, George Karypis |
| 2025 | ICML | ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation. | Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian J. McAuley, Derek Zhiyuan Cheng |
| 2025 | KDD | Second Workshop on Generative AI for Recommender Systems and Personalization. | Narges Tabari, Aniket Deshmukh, Wang-Cheng Kang, Julian J. McAuley, James Caverlee, Neil Shah, George Karypis |
| 2024 | KDD | First Workshop on Generative AI for Recommender Systems and Personalization. | Narges Tabari, Aniket Anand Deshmukh, Wang-Cheng Kang, Hamed Zamani, Rashmi Gangadharaiah, Julian J. McAuley, George Karypis |
| 2024 | RecSys | Improving Data Efficiency for Recommenders and LLMs. | Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, James Caverlee, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng |
| 2023 | RecSys | 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 |
| 2021 | KDD | 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 |
| 2020 | WWW | 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 |
| 2019 | CIKM | Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation. | Wang-Cheng Kang, Julian John McAuley |
| 2019 | CIKM | CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. | An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley |
| 2019 | CVPR | Complete the Look: Scene-Based Complementary Product Recommendation. | Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley |
| 2018 | CIKM | Recommendation Through Mixtures of Heterogeneous Item Relationships. | Wang-Cheng Kang, Mengting Wan, Julian J. McAuley |
| 2018 | ICDM | Self-Attentive Sequential Recommendation. | Wang-Cheng Kang, Julian J. McAuley |
| 2018 | IJCAI | Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior. | Ruining He, Wang-Cheng Kang, Julian J. McAuley |
| 2018 | RecSys | Learning consumer and producer embeddings for user-generated content recommendation. | Wang-Cheng Kang, Julian J. McAuley |
| 2017 | ICDM | Visually-Aware Fashion Recommendation and Design with Generative Image Models. | Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian J. McAuley |
| 2017 | RecSys | Translation-based Recommendation. | Ruining He, Wang-Cheng Kang, Julian J. McAuley |
| 2016 | AAAI | Column Sampling Based Discrete Supervised Hashing. | Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou |
| 2016 | IJCAI | Feature Learning Based Deep Supervised Hashing with Pairwise Labels. | Wu-Jun Li, Sheng Wang, Wang-Cheng Kang |