Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data. - Mao Ye 006; Dhruv Choudhary; Jiecao Yu; Ellie Wen; Zeliang Chen; Jiyan Yang; Jongsoo Park; Qiang Liu 001; Arun Kejariwal (CoRR, 2020)

DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction. - Buyun Zhang; Liang Luo; Xi Liu; Jay Li; Zeliang Chen; Weilin Zhang; Xiaohan Wei; Yuchen Hao; Michael Tsang; Wenjun Wang; Yang Liu; Huayu Li; et al. (CoRR, 2022)

Understanding Scaling Laws for Recommendation Models. - Newsha Ardalani; Carole-Jean Wu; Zeliang Chen; Bhargav Bhushanam; Adnan Aziz (CoRR, 2022)

AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models. - Fan Lai 001; Wei Zhang; Rui Liu; William Tsai; Xiaohan Wei; Yuxi Hu 001; Sabin Devkota; Jianyu Huang; Jongsoo Park; Xing Liu; Zeliang Chen; Ellie Wen; et al. (OSDI, 2023)

QuickUpdate: a Real-Time Personalization System for Large-Scale Recommendation Models. - Kiran Kumar Matam; Hani Ramezani; Fan Wang; Zeliang Chen; Yue Dong; Maomao Ding; Zhiwei Zhao; Zhengyu Zhang; Ellie Wen; Assaf Eisenman (NSDI, 2024)

Negative Exclusion Filtering: Optimizing Ad Delivery Efficiency for Large-Scale Social Media Platforms. - Min Zhang; Ganlin Song; Fang Zhou; Dong Liang; Jianwei Xiao; Shengyu Huang; Lizhang Qin; Xi Yan; Rong Shi; Xiyuan Chen; Jing Xu 020; Zhaojun Zhang; et al. (SIGIR, 2025)

K-core percolation and node protection strategy for edge-coupling partially interdependent networks. - Lili Zhou; Haibin Liao; Fei Tan 001; Zeliang Chen (Expert Syst. Appl., 2025)