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)

High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models. - Dheevatsa Mudigere; Yuchen Hao; Jianyu Huang; Andrew Tulloch; Srinivas Sridharan 002; Xing Liu; Mustafa Ozdal; Jade Nie; Jongsoo Park; Liang Luo; Jie Amy Yang; Leon Gao; et al. (CoRR, 2021)

Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale. - Zhaoxia Deng; Jongsoo Park; Ping Tak Peter Tang; Haixin Liu; Jie Yang; Hector Yuen; Jianyu Huang; Daya Shanker Khudia; Xiaohan Wei; Ellie Wen; Dhruv Choudhary; Raghuraman Krishnamoorthi; et al. (IEEE Micro, 2021)

Software-hardware co-design for fast and scalable training of deep learning recommendation models. - Dheevatsa Mudigere; Yuchen Hao; Jianyu Huang; Zhihao Jia; Andrew Tulloch; Srinivas Sridharan 002; Xing Liu; Mustafa Ozdal; Jade Nie; Jongsoo Park; Liang Luo; Jie Amy Yang; et al. (ISCA, 2022)

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)

Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking. - Xuewei Wang; Qiang Jin; Shengyu Huang; Min Zhang; Xi Liu; Zhengli Zhao; Yukun Chen; Zhengyu Zhang; Jiyan Yang; Ellie Wen; Sagar Chordia; Wenlin Chen; et al. (AdKDD@KDD, 2023)

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)

Wukong: Towards a Scaling Law for Large-Scale Recommendation. - Buyun Zhang; Liang Luo; Yuxin Chen 001; Jade Nie; Xi Liu; Shen Li; Yanli Zhao; Yuchen Hao; Yantao Yao; Ellie Dingqiao Wen; Jongsoo Park; Maxim Naumov; et al. (ICML, 2024)

Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large Scale Recommendation. - Liang Luo; Buyun Zhang; Michael Tsang; Yinbin Ma; Ching-Hsiang Chu; Yuxin Chen 001; Shen Li; Yuchen Hao; Yanli Zhao; Guna Lakshminarayanan; Ellie Wen; Jongsoo Park; et al. (MLSys, 2024)

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)

Wukong: Towards a Scaling Law for Large-Scale Recommendation. - Buyun Zhang; Liang Luo; Yuxin Chen 001; Jade Nie; Xi Liu; Daifeng Guo; Yanli Zhao; Shen Li; Yuchen Hao; Yantao Yao; Guna Lakshminarayanan; Ellie Dingqiao Wen; et al. (CoRR, 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)

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. - Mingfu Liang; Xi Liu; Rong Jin 001; Boyang Liu; Qiuling Suo; Qinghai Zhou; Song Zhou; Laming Chen; Hua Zheng; Zhiyuan Li; Shali Jiang 003; Jiyan Yang; et al. (WWW (Companion Volume), 2025)

Personalized Interpolation: An Efficient Method to Tame Flexible Optimization Window Estimation. - Xin Zhang 054; Weiliang Li; Rui Li; Zihang Fu; Tongyi Tang; Zhengyu Zhang; Wen-Yen Chen; Nima Noorshams; Nirav Jasapara; Xiaowen Ding; Ellie Wen; Xue Feng (CoRR, 2025)

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. - Mingfu Liang; Xi Liu; Rong Jin 001; Boyang Liu; Qiuling Suo; Qinghai Zhou; Song Zhou; Laming Chen; Hua Zheng; Zhiyuan Li; Shali Jiang 003; Jiyan Yang; et al. (CoRR, 2025)