Derek Zhiyuan Cheng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
7
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 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 | International Workshop on Online and Adaptive Recommender Systems (OARS 2025). | Xiquan Cui, Derek Zhiyuan Cheng, Fei Liu, Tao Ye, Julian J. McAuley, Vachik S. Dave, Stephen Guo |
| 2025 | KDD | RelKD 2025: The Third International Workshop on Resource-Efficient Learning for Knowledge Discovery. | Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu |
| 2025 | RecSys | Cross-Batch Aggregation for Streaming Learning from Label Proportions in Industrial-Scale Recommendation Systems. | Jonathan Valverde, Tiansheng Yao, Xiang Li, Yuan Gao, Yin Zhang, Andrew Evdokimov, Adam Kraft, Samuel Ieong, Jerry Zhang, Ed H. Chi, Derek Zhiyuan Cheng, Ruoxi Wang |
| 2025 | WWW | Resource-Efficient Learning for the Web. | Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu |
| 2025 | WWW | RelWeb 2025: The International Workshop on Resource-Efficient Learning for the Web. | Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu |
| 2024 | RecSys | Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders. | Yin Zhang, Ruoxi Wang, Xiang Li, Tiansheng Yao, Andrew Evdokimov, Jonathan Valverde, Yuan Gao, Jerry Zhang, Evan Ettinger, Ed H. Chi, Derek Zhiyuan Cheng |
| 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 | KDD | Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN). | Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi |
| 2023 | KDD | Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning. | Derek Zhiyuan Cheng, Dhaval Patel, Linsey Pang, Sameep Mehta, Kexin Xie, Ed H. Chi, Wei Liu, Nitesh V. Chawla, James Bailey |
| 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 |
| 2023 | SIGIR | HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. | Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng |
| 2022 | KDD | An Online Multi-task Learning Framework for Google Feed Ads Auction Models. | Ning Ma, Mustafa Ispir, Yuan Li, Yongpeng Yang, Zhe Chen, Derek Zhiyuan Cheng, Lan Nie, Kishor Barman |
| 2021 | CIKM | Self-supervised Learning for Large-scale Item Recommendations. | Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Ting Chen, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi (Jay) Kang, Evan Ettinger |
| 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 |
| 2021 | WWW | DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems. | Ruoxi Wang, Rakesh Shivanna, Derek Zhiyuan Cheng, Sagar Jain, Dong Lin, Lichan Hong, Ed H. Chi |
| 2021 | WWW | A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation. | Yin Zhang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, Ed H. Chi |
| 2021 | WSDM | Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems. | Zhe Chen, Yuyan Wang, Dong Lin, Derek Zhiyuan Cheng, Lichan Hong, Ed H. Chi, Claire Cui |
| 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 |
| 2020 | WWW | Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations. | Ji Yang, Xinyang Yi, Derek Zhiyuan Cheng, Lichan Hong, Yang Li, Simon Xiaoming Wang, Taibai Xu, Ed H. Chi |
| 2019 | RecSys | Sampling-bias-corrected neural modeling for large corpus item recommendations. | Xinyang Yi, Ji Yang, Lichan Hong, Derek Zhiyuan Cheng, Lukasz Heldt, Aditee Kumthekar, Zhe Zhao, Li Wei, Ed H. Chi |