Face Based Advertisement Recommendation with Deep Learning: A Case Study. - Xiaozhe Yao; Yingying Chen; Rongjie Liao; Shubin Cai (SmartCom, 2017)

CVTron Web: A Versatile Framework for Online Computer Vision Services. - Yingying Chen; Xiaozhe Yao (SERVICES, 2018)

DataPerf: Benchmarks for Data-Centric AI Development. - Mark Mazumder; Colby R. Banbury; Xiaozhe Yao; Bojan Karlas; William Gaviria Rojas; Sudnya Frederick Diamos; Greg Diamos; Lynn He; Douwe Kiela; David Jurado; David Kanter; Rafael Mosquera; et al. (CoRR, 2022)

SHiFT: An Efficient, Flexible Search Engine for Transfer Learning. - Cédric Renggli; Xiaozhe Yao; Luka Kolar; Luka Rimanic; Ana Klimovic; Ce Zhang 001 (Proc. VLDB Endow., 2022)

DataPerf: Benchmarks for Data-Centric AI Development. - Mark Mazumder; Colby R. Banbury; Xiaozhe Yao; Bojan Karlas; William Gaviria Rojas; Sudnya Frederick Diamos; Greg Diamos; Lynn He; Alicia Parrish; Hannah Rose Kirk; Jessica Quaye; Charvi Rastogi; et al. (NeurIPS, 2023)

HexGen: Generative Inference of Foundation Model over Heterogeneous Decentralized Environment. - Youhe Jiang; Ran Yan; Xiaozhe Yao; Beidi Chen; Binhang Yuan (CoRR, 2023)

DMLR: Data-centric Machine Learning Research - Past, Present and Future. - Luis Oala; Manil Maskey; Lilith Bat-Leah; Alicia Parrish; Nezihe Merve Gürel; Tzu-Sheng Kuo; Yang Liu 018; Rotem Dror; Danilo Brajovic; Xiaozhe Yao; Max Bartolo; William Gaviria Rojas; et al. (CoRR, 2023)

DeltaZip: Multi-Tenant Language Model Serving via Delta Compression. - Xiaozhe Yao; Ana Klimovic (CoRR, 2023)

HexGen: Generative Inference of Large Language Model over Heterogeneous Environment. - Youhe Jiang; Ran Yan; Xiaozhe Yao; Yang Zhou; Beidi Chen; Binhang Yuan (ICML, 2024)

RedPajama: an Open Dataset for Training Large Language Models. - Maurice Weber; Daniel Y. Fu; Quentin Anthony; Yonatan Oren; Shane Adams; Anton Alexandrov; Xiaozhong Lyu; Huu Nguyen; Xiaozhe Yao; Virginia Adams; Ben Athiwaratkun; Rahul Chalamala; et al. (NeurIPS, 2024)

Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order. - Taishi Nakamura; Mayank Mishra; Simone Tedeschi; Yekun Chai; Jason T. Stillerman; Felix Friedrich; Prateek Yadav; Tanmay Laud; Minh Chien Vu; Terry Yue Zhuo; Diganta Misra; Ben Bogin; et al. (CoRR, 2024)

Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code. - Taishi Nakamura; Mayank Mishra; Simone Tedeschi; Yekun Chai; Jason T. Stillerman; Felix Friedrich; Prateek Yadav; Tanmay Laud; Minh Chien Vu; Terry Yue Zhuo; Diganta Misra; Ben Bogin; et al. (COLING (Industry), 2025)

DeltaZip: Efficient Serving of Multiple Full-Model-Tuned LLMs. - Xiaozhe Yao; Qinghao Hu 004; Ana Klimovic (EuroSys, 2025)

Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs. - Youhe Jiang; Fangcheng Fu; Xiaozhe Yao; Guoliang He; Xupeng Miao; Ana Klimovic; Bin Cui 001; Binhang Yuan; Eiko Yoneki (CoRR, 2025)

ThunderServe: High-performance and Cost-efficient LLM Serving in Cloud Environments. - Youhe Jiang; Fangcheng Fu; Xiaozhe Yao; Taiyi Wang; Bin Cui 001; Ana Klimovic; Eiko Yoneki (CoRR, 2025)

Mixtera: A Data Plane for Foundation Model Training. - Maximilian Böther; Xiaozhe Yao; Tolga Kerimoglu; Ana Klimovic (CoRR, 2025)