Learning Relative Similarity by Stochastic Dual Coordinate Ascent. - Pengcheng Wu; Yi Ding 006; Peilin Zhao; Chunyan Miao; Steven C. H. Hoi (AAAI, 2014)

An Adaptive Gradient Method for Online AUC Maximization. - Yi Ding 006; Peilin Zhao; Steven C. H. Hoi; Yew-Soon Ong (AAAI, 2015)

Adaptive Subgradient Methods for Online AUC Maximization. - Yi Ding 006; Peilin Zhao; Steven C. H. Hoi; Yew-Soon Ong (CoRR, 2016)

Large Scale Kernel Methods for Online AUC Maximization. - Yi Ding 006; Chenghao Liu; Peilin Zhao; Steven C. H. Hoi (ICDM, 2017)

KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial. - Jun Zhou 011; Xiaolong Li 005; Peilin Zhao; Chaochao Chen 001; Longfei Li; Xinxing Yang; Qing Cui; Jin Yu; Xu Chen 017; Yi Ding 006; Yuan (Alan) Qi (KDD, 2017)

Multiresolution Kernel Approximation for Gaussian Process Regression. - Yi Ding 006; Risi Kondor; Jonathan Eskreis-Winkler (NIPS, 2017)

Generative and multi-phase learning for computer systems optimization. - Yi Ding 006; Nikita Mishra; Henry Hoffmann (ISCA, 2019)

Dynamical Systems Theory for Causal Inference with Application to Synthetic Control Methods. - Yi Ding 006; Panos Toulis (AISTATS, 2020)

A polynomial-time algorithm for learning nonparametric causal graphs. - Ming Gao; Yi Ding 006; Bryon Aragam (NeurIPS, 2020)

Programming with neural surrogates of programs. - Alex Renda; Yi Ding 006; Michael Carbin (Onward!, 2021)

Generalizable and interpretable learning for configuration extrapolation. - Yi Ding 006; Ahsan Pervaiz; Michael Carbin; Henry Hoffmann (ESEC/SIGSOFT FSE, 2021)

NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction. - Yi Ding 006; Avinash Rao; Hyebin Song; Rebecca Willett; Henry Hoffmann (MLSys, 2022)

CAFQA: Clifford Ansatz For Quantum Accuracy. - Gokul Subramanian Ravi; Pranav Gokhale; Yi Ding 006; William M. Kirby; Kaitlin N. Smith; Jonathan M. Baker; Peter J. Love; Henry Hoffmann; Kenneth R. Brown; Frederic T. Chong (CoRR, 2022)

Cello: Efficient Computer Systems Optimization with Predictive Early Termination and Censored Regression. - Yi Ding 006; Alex Renda; Ahsan Pervaiz; Michael Carbin; Henry Hoffmann (CoRR, 2022)

SCOPE: Safe Exploration for Dynamic Computer Systems Optimization. - Hyunji Kim; Ahsan Pervaiz; Henry Hoffmann; Michael Carbin; Yi Ding 006 (CoRR, 2022)

Acela: Predictable Datacenter-level Maintenance Job Scheduling. - Yi Ding 006; Aijia Gao; Thibaud Ryden; Kaushik Mitra; Sukumar Kalmanje; Yanai Golany; Michael Carbin; Henry Hoffmann (CoRR, 2022)

CAFQA: A Classical Simulation Bootstrap for Variational Quantum Algorithms. - Gokul Subramanian Ravi; Pranav Gokhale; Yi Ding 006; William M. Kirby; Kaitlin N. Smith; Jonathan M. Baker; Peter J. Love; Henry Hoffmann; Kenneth R. Brown; Frederic T. Chong (ASPLOS (1), 2023)

AntTune: An Efficient Distributed Hyperparameter Optimization System for Large-Scale Data. - Jun Zhou 011; Qitao Shi; Yi Ding 006; Lin Wang 098; Longfei Li; Feng Zhu 011 (DASFAA (4), 2023)

A Rule-based Decision System for Financial Applications. - Meng Li; Jun Zhou 011; Lu Yu 006; Xiaoguang Huang; Yongfeng Gu; Yi Ding 006; Hao Ding; Longfei Li (ICDE, 2023)

DistriBayes: A Distributed Platform for Learning, Inference and Attribution on Large Scale Bayesian Network. - Yi Ding 006; Jun Zhou 011; Qing Cui; Lin Wang 098; Mengqi Zhang; Yang Dong (WSDM, 2023)

DGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay. - Jun Zhou 011; Caizhi Tang; Qing Cui; Yi Ding 006; Longfei Li; Fei Wu 001 (WWW (Companion Volume), 2023)

Turaco: Complexity-Guided Data Sampling for Training Neural Surrogates of Programs. - Alex Renda; Yi Ding 006; Michael Carbin (Proc. ACM Program. Lang., 2023)

Uncertainty-Aware Decarbonization for Datacenters. - Amy Li; Sihang Liu 001; Yi Ding 006 (CoRR, 2024)

GreenLLM: Disaggregating Large Language Model Serving on Heterogeneous GPUs for Lower Carbon Emissions. - Tianyao Shi; Yanran Wu; Sihang Liu 001; Yi Ding 006 (CoRR, 2024)

Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit View. - Yanran Wu; Inez Hua; Yi Ding 006 (ACL (1), 2025)

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting. - Leyi Yan; Linda Wang; Sihang Liu 001; Yi Ding 006 (e-Energy, 2025)

Towards Sustainable Large Language Model Serving. - Sophia Nguyen; Beihao Zhou; Yi Ding 006; Sihang Liu 001 (CoRR, 2025)

EmbAdvisor: Adaptive Cache Management for Sustainable LLM Serving. - Yuyang Tian; Desen Sun; Yi Ding 006; Sihang Liu 001 (CoRR, 2025)