2022

doi dblp
Can Small Heads Help? Understanding and Improving Multi-Task Generalization
Yuyan Wang | Zhe Zhao | Bo Dai | Christopher Fifty | Dong Lin | Lichan Hong | Li Wei | Ed H. Chi
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

2021

doi dblp
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
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

doi dblp
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
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021

2020

doi dblp
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
Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020