Jie Ding

University of Minnesota — United States

Computer Science · Physical Sciences

17h-index1.8kcitations134works0.82yr avg
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Research Topics

Privacy-Preserving Technologies in Data(23), Neural Networks and Applications(19), Statistical Methods and Inference(13), Fault Detection and Control Systems(12), Advanced Statistical Methods and Models(12)

Publications134 total

A clinical analysis of 19 cases of chordomas with poor differentiation treated using diverse therapeutic modalities
Discover Oncology·2025Open Access
Additive-Effect Assisted Learning
Journal of the Royal Statistical Society Series B (Statistical Methodology)·2025
Epi$^2$-Net: Advancing Epidemic Dynamics Forecasting with Physics-Inspired Neural Networks
arXiv (Cornell University)·2025Open Access
Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference
arXiv (Cornell University)·2025Open Access
Robust Score-Based Quickest Change Detection
IEEE Transactions on Information Theory·2025· 1 cited
An AI-Cyborg System for Adaptive Intelligent Modulation of Organoid Maturation
2024· 2 citedOpen Access
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning
Lecture notes in computer science·2024· 1 cited
Predicting 5G throughput with BAMMO, a boosted additive model for data with missing observations
Journal of the Royal Statistical Society Series C (Applied Statistics)·2024Open Access
SHARE: A Distributed Learning Framework For Multivariate Time-Series Forecasting
2024
Combining KNN with AutoEncoder for Outlier Detection
Journal of Computer Science and Technology·2024· 3 cited
FP4-Quantization: Lossless 4bit Quantization for Large Language Models
2024· 2 cited
Quickest Change Detection for Unnormalized Statistical Models
IEEE Transactions on Information Theory·2023· 2 cited
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective
arXiv (Cornell University)·2023· 1 citedOpen Access
Exploring Gradient Oscillation in Deep Neural Network Training
2023· 2 cited
Assisted Unsupervised Domain Adaptation
2023· 1 cited
Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization
IEEE Transactions on Information Theory·2023· 2 cited
Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization
arXiv (Cornell University)·2023Open Access
Quantifying Catastrophic Forgetting in Continual Federated Learning
2023· 6 cited
Explainable multi-task learning for multi-modality biological data analysis
Nature Communications·2023· 94 citedOpen Access
Federated Alternate Training (Fat): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging
2023· 2 cited
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Frequent Co-authors

Vahid Tarokh(23), Enmao Diao(8), Yuhong Yang(5), Xinran Wang(4), Mohammad Noshad(4), Jiawei Zhang(3), Yu Xiang(3), Xun Xian(3), Giovanni Parmigiani(2), Na Li(2), Salman Avestimehr(2), Reza Ghanadan(2), Shahin Shahrampour(2), Yizhuang Xu(2), Jinguang Wu(2), Jianyou Wang(1), Michael Xue(1), Ryan Culhane(1), Elana J. Fertig(1), Alexander V. Favorov(1)