Wang-Cheng Kang

40 papers A* 10A 8Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgenticTagger: Structured Item Representation for Recommendation with LLM Agents. CoRR Zhouhang Xie, Bo Peng, Zhankui He, Ziqi Chen, Alice Han, Isabella Ye, Benjamin Coleman, Noveen Sachdeva, Fernando Pereira, Julian J. McAuley, Wang-Cheng Kang, Derek Zhiyuan Cheng, Beidou Wang, Randolph Brown
2026	J	`jnl`	PACEvolve: Enabling Long-Horizon Progress-Aware Consistent Evolution. CoRR Minghao Yan, Bo Peng, Benjamin Coleman, Ziqi Chen, Zhouhang Xie, Shuo Chen, Zhankui He, Noveen Sachdeva, Isabella Ye, Weili Wang, Chi Wang, Ed H. Chi, Fernando Pereira, Wang-Cheng Kang, Derek Zhiyuan Cheng, Beidou Wang
2026	A	`conf`	Third Workshop on Generative AI for Recommender Systems and Personalization. WSDM Narges Tabari, Aniket Deshmukh, Wang-Cheng Kang, Julian J. McAuley, James Caverlee, Neil Shah, George Karypis
2025	A*	`conf`	ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation. ICML Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian J. McAuley, Derek Zhiyuan Cheng
2025	J	`jnl`	ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation. CoRR Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian J. McAuley, Derek Zhiyuan Cheng
2025	J	`jnl`	Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory. CoRR Tianxin Wei, Noveen Sachdeva, Benjamin Coleman, Zhankui He, Yuanchen Bei, Xuying Ning, Mengting Ai, Yunzhe Li, Jingrui He, Ed H. Chi, Chi Wang, Shuo Chen, Fernando Pereira, Wang-Cheng Kang, Derek Zhiyuan Cheng
2025	—	`conf`	Second Workshop on Generative AI for Recommender Systems and Personalization. KDD (2) Narges Tabari, Aniket Deshmukh, Wang-Cheng Kang, Julian J. McAuley, James Caverlee, Neil Shah, George Karypis
2024	A*	`conf`	First Workshop on Generative AI for Recommender Systems and Personalization. KDD Narges Tabari, Aniket Anand Deshmukh, Wang-Cheng Kang, Hamed Zamani, Rashmi Gangadharaiah, Julian J. McAuley, George Karypis
2024	J	`jnl`	How to Train Data-Efficient LLMs. CoRR Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong, Ed H. Chi, James Caverlee, Julian J. McAuley, Derek Zhiyuan Cheng
2024	A	`conf`	Improving Data Efficiency for Recommenders and LLMs. RecSys Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, James Caverlee, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
2023	J	`jnl`	Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction. CoRR Wang-Cheng Kang, Jianmo Ni, Nikhil Mehta, Maheswaran Sathiamoorthy, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
2023	A	`conf`	Efficient Data Representation Learning in Google-scale Systems. RecSys Derek Zhiyuan Cheng, Ruoxi Wang, Wang-Cheng Kang, Benjamin Coleman, Yin Zhang, Jianmo Ni, Jonathan Valverde, Lichan Hong, Ed H. Chi
2023	J	`jnl`	Farzi Data: Autoregressive Data Distillation. CoRR Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian J. McAuley
2023	A*	`conf`	Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems. NeurIPS Benjamin Coleman, Wang-Cheng Kang, Matthew Fahrbach, Ruoxi Wang, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
2023	J	`jnl`	Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems. CoRR Benjamin Coleman, Wang-Cheng Kang, Matthew Fahrbach, Ruoxi Wang, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
2021	A*	`conf`	Learning to Embed Categorical Features without Embedding Tables for Recommendation. KDD Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi
2020	—	`—`	Building Visually-aware, Dynamic, and Efficient Recommender Systems Wang-Cheng Kang
2020	J	`jnl`	Deep Hash Embedding for Large-Vocab Categorical Feature Representations. CoRR Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi
2020	—	`conf`	Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems. WWW (Companion Volume) Wang-Cheng Kang, Derek Zhiyuan Cheng, Ting Chen, Xinyang Yi, Dong Lin, Lichan Hong, Ed H. Chi
2020	J	`jnl`	Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems. CoRR Wang-Cheng Kang, Derek Zhiyuan Cheng, Ting Chen, Xinyang Yi, Dong Lin, Lichan Hong, Ed H. Chi
2019	A	`conf`	Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation. CIKM Wang-Cheng Kang, Julian John McAuley
2019	J	`jnl`	Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation. CoRR Wang-Cheng Kang, Julian J. McAuley
2019	A*	`conf`	Complete the Look: Scene-Based Complementary Product Recommendation. CVPR Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley
2019	A	`conf`	CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. CIKM An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley
2019	J	`jnl`	CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. CoRR An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley
2018	J	`jnl`	Complete the Look: Scene-based Complementary Product Recommendation. CoRR Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley
2018	J	`jnl`	Learning Consumer and Producer Embeddings for User-Generated Content Recommendation. CoRR Wang-Cheng Kang, Julian J. McAuley
2018	A	`conf`	Learning consumer and producer embeddings for user-generated content recommendation. RecSys Wang-Cheng Kang, Julian J. McAuley
2018	A	`conf`	Recommendation Through Mixtures of Heterogeneous Item Relationships. CIKM Wang-Cheng Kang, Mengting Wan, Julian J. McAuley
2018	J	`jnl`	Recommendation Through Mixtures of Heterogeneous Item Relationships. CoRR Wang-Cheng Kang, Mengting Wan, Julian J. McAuley
2018	A*	`conf`	Self-Attentive Sequential Recommendation. ICDM Wang-Cheng Kang, Julian J. McAuley
2018	J	`jnl`	Self-Attentive Sequential Recommendation. CoRR Wang-Cheng Kang, Julian J. McAuley
2018	A*	`conf`	Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior. IJCAI Ruining He, Wang-Cheng Kang, Julian J. McAuley
2017	A	`conf`	Translation-based Recommendation. RecSys Ruining He, Wang-Cheng Kang, Julian J. McAuley
2017	J	`jnl`	Translation-based Recommendation. CoRR Ruining He, Wang-Cheng Kang, Julian J. McAuley
2017	A*	`conf`	Visually-Aware Fashion Recommendation and Design with Generative Image Models. ICDM Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian J. McAuley
2017	J	`jnl`	Visually-Aware Fashion Recommendation and Design with Generative Image Models. CoRR Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian J. McAuley
2016	A*	`conf`	Column Sampling Based Discrete Supervised Hashing. AAAI Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou
2016	A*	`conf`	Feature Learning Based Deep Supervised Hashing with Pairwise Labels. IJCAI Wu-Jun Li, Sheng Wang, Wang-Cheng Kang
2015	J	`jnl`	Feature Learning based Deep Supervised Hashing with Pairwise Labels. CoRR Wu-Jun Li, Sheng Wang, Wang-Cheng Kang