Derek Zhiyuan Cheng

39 papers A* 9A 7Journal 17Unranked 6

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	J	`jnl`	Reinforced Attention Learning. CoRR Bangzheng Li, Jianmo Ni, Chen Qu, Ian Miao, Liu Yang, Xingyu Fu, Muhao Chen, Derek Zhiyuan Cheng
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	A	`conf`	Cross-Batch Aggregation for Streaming Learning from Label Proportions in Industrial-Scale Recommendation Systems. RecSys 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	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`	International Workshop on Online and Adaptive Recommender Systems (OARS 2025). KDD (2) Xiquan Cui, Derek Zhiyuan Cheng, Fei Liu, Tao Ye, Julian J. McAuley, Vachik S. Dave, Stephen Guo
2025	—	`conf`	RelKD 2025: The Third International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD (2) Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025	—	`conf`	RelWeb 2025: The International Workshop on Resource-Efficient Learning for the Web. WWW (Companion Volume) Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025	—	`conf`	Resource-Efficient Learning for the Web. WWW (Companion Volume) Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
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
2024	A	`conf`	Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders. RecSys Yin Zhang, Ruoxi Wang, Xiang Li, Tiansheng Yao, Andrew Evdokimov, Jonathan Valverde, Yuan Gao, Jerry Zhang, Evan Ettinger, 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	A*	`conf`	Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN). KDD Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, 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`	Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning. KDD Derek Zhiyuan Cheng, Dhaval Patel, Linsey Pang, Sameep Mehta, Kexin Xie, Ed H. Chi, Wei Liu, Nitesh V. Chawla, James Bailey
2023	A*	`conf`	HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. SIGIR Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng
2023	J	`jnl`	HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. CoRR Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng
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
2022	A*	`conf`	An Online Multi-task Learning Framework for Google Feed Ads Auction Models. KDD Ning Ma, Mustafa Ispir, Yuan Li, Yongpeng Yang, Zhe Chen, Derek Zhiyuan Cheng, Lan Nie, Kishor Barman
2022	J	`jnl`	Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN). CoRR Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi
2021	A*	`conf`	A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation. WWW Yin Zhang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, Ed H. Chi
2021	A	`conf`	Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems. WSDM Zhe Chen, Yuyan Wang, Dong Lin, Derek Zhiyuan Cheng, Lichan Hong, Ed H. Chi, Claire Cui
2021	A*	`conf`	DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems. WWW Ruoxi Wang, Rakesh Shivanna, Derek Zhiyuan Cheng, Sagar Jain, Dong Lin, Lichan Hong, Ed H. Chi
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
2021	A	`conf`	Self-supervised Learning for Large-scale Item Recommendations. CIKM 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
2020	J	`jnl`	A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation. CoRR Yin Zhang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, Ed H. Chi
2020	J	`jnl`	Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems. CoRR Zhe Chen, Yuyan Wang, Dong Lin, Derek Zhiyuan Cheng, Lichan Hong, Ed H. Chi, Claire Cui
2020	J	`jnl`	DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems. CoRR Ruoxi Wang, Rakesh Shivanna, Derek Zhiyuan Cheng, Sagar Jain, Dong Lin, Lichan Hong, Ed H. Chi
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
2020	—	`conf`	Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations. WWW (Companion Volume) Ji Yang, Xinyang Yi, Derek Zhiyuan Cheng, Lichan Hong, Yang Li, Simon Xiaoming Wang, Taibai Xu, Ed H. Chi
2020	J	`jnl`	Self-supervised Learning for Deep Models in Recommendations. CoRR Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi Kang, Evan Ettinger
2019	A	`conf`	Sampling-bias-corrected neural modeling for large corpus item recommendations. RecSys Xinyang Yi, Ji Yang, Lichan Hong, Derek Zhiyuan Cheng, Lukasz Heldt, Aditee Kumthekar, Zhe Zhao, Li Wei, Ed H. Chi