Colorectal cancer predictive test using germ-line DNA data and multiple machine learning methods - Buyun Zhang (2019)

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)

DistDNAS: Search Efficient Feature Interactions within 2 Hours. - Tunhou Zhang; Wei Wen; Igor Fedorov; Xi Liu; Buyun Zhang; Fangqiu Han; Wen-Yen Chen; Yiping Han; Feng Yan 001; Hai Li 001; Yiran Chen 001 (IEEE Big Data, 2024)

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)

Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. - Wei Wen; Kuang-Hung Liu; Igor Fedorov; Xin Zhang 054; Hang Yin 005; Weiwei Chu; Kaveh Hassani; Mengying Sun; Jiang Liu 011; Xu Wang; Lin Jiang; Yuxin Chen 001; et al. (WWW (Companion Volume), 2024)

AutoML for Large Capacity Modeling of Meta's Ranking Systems. - Hang Yin 005; Kuang-Hung Liu; Mengying Sun; Yuxin Chen 001; Buyun Zhang; Jiang Liu 011; Vivek Sehgal; Rudresh Rajnikant Panchal; Eugen Hotaj; Xi Liu; Daifeng Guo; Jamey Zhang; et al. (WWW (Companion Volume), 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)

InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. - Zhichen Zeng 001; Xiaolong Liu; Mengyue Hang; Xiaoyi Liu; Qinghai Zhou; Chaofei Yang; Yiqun Liu; Yichen Ruan; Laming Chen; Yuxin Chen 001; Yujia Hao; Jiaqi Xu; et al. (CoRR, 2024)

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. - Huixue Zhou; Hengrui Gu 002; Zaifu Zhan; Xi Liu; Kaixiong Zhou; Yongkang Xiao; Mingfu Liang; Srinivas Prasad Govindan; Piyush Chawla; Jiyan Yang; Xiangfei Meng; Huayu Li; et al. (ACL (1), 2025)

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. - Huixue Zhou; Hengrui Gu 002; Xi Liu; Kaixiong Zhou; Mingfu Liang; Yongkang Xiao; Srinivas Govindan; Piyush Chawla; Jiyan Yang; Xiangfei Meng; Huayu Li; Buyun Zhang; et al. (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)