Jie Ding

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All published works

Action	Title	Year	Authors
+	Predicting 5G throughput with BAMMO, a boosted additive model for data with missing observations	2024	Tate Jacobson Jie Ding Hui Zou
+ PDF Chat	Quickest Change Detection for Unnormalized Statistical Models	2023	Suya Wu Enmao Diao Taposh Banerjee Jie Ding Vahid Tarokh
+ PDF Chat	Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization	2023	Gen Li Ganghua Wang Jie Ding
+ PDF Chat	Federated Alternate Training (Fat): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging	2023	Erum Mushtaq Yavuz Faruk Bakman Jie Ding Salman Avestimehr
+ PDF Chat	Information criteria for model selection	2023	Jiawei Zhang Yuhong Yang Jie Ding
+ PDF Chat	Multimodal Controller for Generative Models	2023	Enmao Diao Jie Ding Vahid Tarokh
+	Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization	2023	Gen Li Ganghua Wang Jie Ding
+	Demystifying Poisoning Backdoor Attacks from a Statistical Perspective	2023	Ganghua Wang Xun Xian Jayanth Srinivasa Ashish Kundu Xuan Bi Mingyi Hong Jie Ding
+ PDF Chat	Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders	2022	Qi Le Enmao Diao Xinran Wang Ali Anwar Vahid Tarokh Jie Ding
+ PDF Chat	Targeted cross-validation	2022	Jiawei Zhang Jie Ding Yuhong Yang
+ PDF Chat	Meta Clustering for Collaborative Learning	2022	Chenglong Ye Reza Ghanadan Jie Ding
+ PDF Chat	Federated Learning Challenges and Opportunities: An Outlook	2022	Jie Ding Eric W. Tramel Anit Kumar Sahu Shuang Wu Salman Avestimehr Tao Zhang
+ PDF Chat	On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections	2022	Mohammadreza Soltani Suya Wu Yuerong Li Jie Ding Vahid Tarokh
+	Regression with Set-Valued Categorical Predictors	2022	Ganghua Wang Jie Ding Yuhong Yang
+ PDF Chat	Interval Privacy: A Framework for Privacy-Preserving Data Collection	2022	Jie Ding Ding Bangjun
+ PDF Chat	Score-Based Hypothesis Testing for Unnormalized Models	2022	Suya Wu Enmao Diao Khalil Elkhalil Jie Ding Vahid Tarokh
+ PDF Chat	Is a Classification Procedure Good Enough?—A Goodness-of-Fit Assessment Tool for Classification Learning	2021	Jiawei Zhang Jie Ding Yuhong Yang
+	Interval Privacy: A Framework for Data Collection.	2021	Jie Ding Ding Bangjun
+	Fundamental Limits in Model Selection for Modern Data Analysis	2021	Jie Ding Yuhong Yang Vahid Tarokh
+	Learning Time Series from Scale Information	2021	Yuan Yang Jie Ding
+	GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations	2021	Enmao Diao Jie Ding Vahid Tarokh
+	SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training	2021	Enmao Diao Jie Ding Vahid Tarokh
+	The Rate of Convergence of Variation-Constrained Deep Neural Networks	2021	Gen Li Yuantao Gu Jie Ding
+	Subset Privacy: Draw from an Obfuscated Urn	2021	Ganghua Wang Jie Ding
+	Targeted Cross-Validation	2021	Jiawei Zhang Jie Ding Yuhong Yang
+	Assisted Learning for Organizations with Limited Data	2021	Cheng Chen Jiaying Zhou Jie Ding Yi Zhou
+	Decentralized Multi-Target Cross-Domain Recommendation for Multi-Organization Collaborations	2021	Enmao Diao Vahid Tarokh Jie Ding
+ PDF Chat	On Statistical Efficiency in Learning	2020	Jie Ding Enmao Diao Jiawei Zhou Vahid Tarokh
+ PDF Chat	Forecasting with Multiple Seasonality	2020	Tianyang Xie Jie Ding
+	"To Tell You the Truth" by Interval-Private Data	2020	Jie Ding Ding Bangjun
+	The Efficacy of L 1s Regularization in Two-Layer Neural Networks.	2020	Gen Li Yuantao Gu Jie Ding
+ PDF Chat	HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients	2020	Enmao Diao Jie Ding Vahid Tarokh
+ PDF Chat	Information Laundering for Model Privacy	2020	Xinran Wang Yu Xiang Jun Gao Jie Ding
+	Imitation Privacy	2020	Xun Xian Xinran Wang Mingyi Hong Jie Ding Reza Ghanadan
+	Detect Multiple Change Points from Time Series [R package offlineChange version 0.0.4]	2020	Jiahuan Ye Jie Ding
+ PDF Chat	Supervised Encoding for Discrete Representation Learning	2020	Cat P. Le Yi Zhou Jie Ding Vahid Tarokh
+ PDF Chat	Speech Emotion Recognition with Dual-Sequence LSTM Architecture	2020	Jianyou Wang Michael Xue Ryan Culhane Enmao Diao Jie Ding Vahid Tarokh
+	Assisted Learning and Imitation Privacy	2020	Xun Xian Xinran Wang Jie Ding Reza Ghanadan
+ PDF Chat	Deep Clustering of Compressed Variational Embeddings	2020	Suya Wu Enmao Diao Jie Ding Vahid Tarokh
+	Meta Clustering for Collaborative Learning	2020	Chenglong Ye Jie Ding Reza Ghanadan
+	Assisted Learning: A Framework for Multi-Organization Learning	2020	Xun Xian Xinran Wang Jie Ding Reza Ghanadan
+	Forecasting with Multiple Seasonality	2020	Tianyang Xie Jie Ding
+	HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients	2020	Enmao Diao Jie Ding Vahid Tarokh
+	ASCII: ASsisted Classification with Ignorance Interchange	2020	Jiaying Zhou Xun Xian Na Li Jie Ding
+	Information Laundering for Model Privacy	2020	Xinran Wang Yu Xiang Jun Gao Jie Ding
+	Model Linkage Selection for Cooperative Learning	2020	Jiaying Zhou Jie Ding Kean Ming Tan Vahid Tarokh
+	Imitation Privacy	2020	Xun Xian Xinran Wang Mingyi Hong Jie Ding Reza Ghanadan
+ PDF Chat	Restricted Recurrent Neural Networks	2019	Enmao Diao Jie Ding Vahid Tarokh
+	A Binary Regression Adaptive Goodness-of-Fit Test (BAGofT) [R package BAGofT version 0.1.0]	2019	Jiawei Zhang Jie Ding Yuhong Yang
+	A Binary Regression Adaptive Goodness-of-fit Test (BAGofT).	2019	Jiawei Zhang Jie Ding Yuhong Yang
+	Variable Grouping Based Bayesian Additive Regression Tree.	2019	Yuhao Su Jie Ding
+	offlineChange: Detect Multiple Change Points from Time Series	2019	Jiahuan Ye Jie Ding
+ PDF Chat	Estimation of the Evolutionary Spectra With Application to Stationarity Test	2019	Yu Xiang Jie Ding Vahid Tarokh
+	Asymptotically Optimal Prediction for Time-Varying Data Generating Processes	2018	Jie Ding Jiawei Zhou Vahid Tarokh
+ PDF Chat	Model Selection Techniques: An Overview	2018	Jie Ding Vahid Tarokh Yuhong Yang
+ PDF Chat	Bayesian Model Comparison with the Hyvärinen Score: Computation and Consistency	2018	Stephane Shao Pierre Jacob Jie Ding Vahid Tarokh
+	Optimal prediction of data with unknown abrupt change points	2017	Jie Ding Jiawei Zhou Vahid Tarokh
+	Detecting structural changes in dependent data	2017	Jie Ding Yu Xiang Lu Shen Vahid Tarokh
+ PDF Chat	Bridging AIC and BIC: A New Criterion for Autoregression	2017	Jie Ding Vahid Tarokh Yuhong Yang
+	SLANTS: Sequential Adaptive Nonlinear Modeling of Time Series	2017	Qiuyi Han Jie Ding Edoardo M. Airoldi Vahid Tarokh
+ PDF Chat	Multiple Change Point Analysis: Fast Implementation and Strong Consistency	2017	Jie Ding Yu Xiang Lu Shen Vahid Tarokh
+ PDF Chat	The number of independent sets in hexagonal graphs	2017	Zhun Deng Jie Ding K. M. Heal Vahid Tarokh
+ PDF Chat	Complementary lattice arrays for coded aperture imaging	2016	Jie Ding Mohammad Noshad Vahid Tarokh
+	An Evaluation of Some Robust Estimators of Regression Coefficients	2015	Jie Ding
+ PDF Chat	Key Pre-Distributions From Graph-Based Block Designs	2015	Jie Ding Abdelmadjid Bouabdallah Vahid Tarokh
+	Order Selection of Autoregressive Processes Using Bridge Criterion	2015	Jie Ding Mohammad Noshad Vahid Tarokh
+ PDF Chat	Learning the Number of Autoregressive Mixtures in Time Series Using the Gap Statistics	2015	Jie Ding Mohammad Noshad Vahid Tarokh
+ PDF Chat	Data-driven learning of the number of states in multi-state autoregressive models	2015	Jie Ding Mohammad Noshad Vahid Tarokh
+	Order Selection of Autoregressive Processes using Bridge Criterion	2015	Jie Ding Mohammad Noshad Vahid Tarokh
+	The Number of Independent Sets in Hexagonal Graphs	2015	Zhun Deng Jie Ding Mohammad Noshad Vahid Tarokh
+	Data-Driven Learning of the Number of States in Multi-State Autoregressive Models	2015	Jie Ding Mohammad Noshad Vahid Tarokh
+	Bridging AIC and BIC: a new criterion for autoregression	2015	Jie Ding Vahid Tarokh Yuhong Yang
+	Capacity of Hexagonal Checkerboard Codes	2015	Zhun Deng Jie Ding Mohammad Noshad Vahid Tarokh
+	A new relative efficiency in linear model and its property	2002	Jie Ding
+	DIFFERENTIATING BETWEEN ORIENTAL AND EUROPEAN SCRIPTS BY STATISTICAL FEATURES	1999	Louisa Lam Jie Ding Ching Y. Suen

Common Coauthors

Coauthor	Papers Together
Vahid Tarokh	37
Enmao Diao	13
Yuhong Yang	11
Mohammad Noshad	8
Reza Ghanadan	6
Xun Xian	6
Ganghua Wang	5
Xinran Wang	5
Gen Li	4
Suya Wu	4
Mingyi Hong	3
Zhun Deng	3
Ding Bangjun	3
Jiaying Zhou	3
Yu Xiang	3
Jiawei Zhou	3
Jiawei Zhang	3
Xinran Wang	2
Chenglong Ye	2
Jiahuan Ye	2
Yuantao Gu	2
Yu Xiang	2
Lu Shen	2
Tianyang Xie	2
Yi Zhou	2
Jiawei Zhang	2
Salman Avestimehr	2
Cheng Chen	1
Jiawei Zhang	1
Jun Gao	1
Kean Ming Tan	1
Qi Le	1
Tao Zhang	1
Mohammadreza Soltani	1
Yuhao Su	1
Abdelmadjid Bouabdallah	1
Jianyou Wang	1
Eric W. Tramel	1
Shuang Wu	1
Pierre Jacob	1
Cat P. Le	1
Anit Kumar Sahu	1
Ryan Culhane	1
Ashish Kundu	1
Louisa Lam	1
Edoardo M. Airoldi	1
Jayanth Srinivasa	1
Khalil Elkhalil	1
Tate Jacobson	1
Ali Anwar	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Model Selection Techniques: An Overview	2018	Jie Ding Vahid Tarokh Yuhong Yang	22
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	15
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	11
+	Information Theory and an Extension of the Maximum Likelihood Principle	1998	H. Akaike	10
+	Federated Learning: Strategies for Improving Communication Efficiency	2016	Jakub Konečný H. Brendan McMahan Felix X. Yu Peter Richtárik Ananda Theertha Suresh Dave Bacon	9
+ PDF Chat	Bridging AIC and BIC: A New Criterion for Autoregression	2017	Jie Ding Vahid Tarokh Yuhong Yang	9
+	The Determination of the Order of an Autoregression	1979	E. J. Hannan Barry G. Quinn	8
+	Cross-validation for selecting a model selection procedure	2015	Zhang Yong-li Yuhong Yang	8
+	The Predictive Sample Reuse Method with Applications	1975	Seymour Geisser	7
+	Can the strengths of AIC and BIC be shared? A conflict between model indentification and regression estimation	2005	Yuhong Yang	7
+ PDF Chat	Asymptotically Efficient Selection of the Order of the Model for Estimating Parameters of a Linear Process	1980	Ritei Shibata	7
+	Regression and time series model selection in small samples	1989	Clifford M. Hurvich Chih‐Ling Tsai	6
+	What Can We Learn Privately?	2011	Shiva Prasad Kasiviswanathan Homin K. Lee Kobbi Nissim Sofya Raskhodnikova Adam Smith	6
+ PDF Chat	Accumulated prediction errors, information criteria and optimal forecasting for autoregressive time series	2007	Ching‐Kang Ing	6
+	Local Privacy and Statistical Minimax Rates	2013	John C. Duchi Michael I. Jordan Martin J. Wainwright	6
+	The Relationship Between Variable Selection and Data Agumentation and a Method for Prediction	1974	David M. Allen	6
+	Present Position and Potential Developments: Some Personal Views: Statistical Theory: The Prequential Approach	1984	A. P. Dawid	6
+	AN ASYMPTOTIC THEORY FOR LINEAR MODEL SELECTION	1997	Jun Shao	6
+ PDF Chat	Privacy against statistical inference	2012	Flávio P. Calmon Nadia Fawaz	6
+	Stealing machine learning models via prediction APIs	2016	Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart	5
+ PDF Chat	Order selection for same-realization predictions in autoregressive processes	2005	Ching-Kang Ing Ching-Zong Wei	5
+ PDF Chat	PREDICTION/ESTIMATION WITH SIMPLE LINEAR MODELS: IS IT REALLY THAT SIMPLE?	2006	Yuhong Yang	5
+	Linear Model Selection by Cross-validation	1993	Jun Shao	5
+ PDF Chat	Catching up Faster by Switching Sooner: A Predictive Approach to Adaptive Estimation with an Application to the AIC–BIC Dilemma	2012	Tim van Erven Peter Grünwald Steven de Rooij	5
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	5
+ PDF Chat	Additive Regression and Other Nonparametric Models	1985	Charles J. Stone	5
+ PDF Chat	On Predictive Least Squares Principles	1992	Ching-Zong Wei	5
+	SLANTS: Sequential Adaptive Nonlinear Modeling of Time Series	2017	Qiuyi Han Jie Ding Edoardo M. Airoldi Vahid Tarokh	5
+	A comparative study of ordinary cross-validation, <i>v</i>-fold cross-validation and the repeated learning-testing methods	1989	Prabir Burman	5
+	Model Selection Via Multifold Cross Validation	1993	Ping Zhang	5
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	5
+	Proper local scoring rules	2012	Matthew Parry A. P. Dawid Steffen L. Lauritzen	5
+ PDF Chat	Minimax Optimal Procedures for Locally Private Estimation	2017	John C. Duchi Michael I. Jordan Martin J. Wainwright	5
+	FedMD: Heterogenous Federated Learning via Model Distillation	2019	Daliang Li Junpu Wang	4
+ PDF Chat	Data-driven learning of the number of states in multi-state autoregressive models	2015	Jie Ding Mohammad Noshad Vahid Tarokh	4
+ PDF Chat	Risk bounds for model selection via penalization	1999	Andrew R. Barron Lucien Birgé Pascal Massart	4
+	Federated Learning with Non-IID Data	2018	Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra	4
+ PDF Chat	An optimal selection of regression variables	1981	Ritei Shibata	4
+	Three Approaches for Personalization with Applications to Federated Learning	2020	Yishay Mansour Mehryar Mohri Jae Hun Ro Ananda Theertha Suresh	4
+	On the Relation Between Identifiability, Differential Privacy, and Mutual-Information Privacy	2016	Weina Wang Lei Ying Junshan Zhang	4
+	Estimating the number of change-points via Schwarz' criterion	1988	Yi‐Ching Yao	4
+	Statistical Predictor Identification	1998	Hirotugu Akaike	4
+	Towards Information Privacy for the Internet of Things	2016	Meng Sun Wee Peng Tay Xin He	4
+	Variable Selection Diagnostics Measures for High-Dimensional Regression	2013	Ying Nan Yuhong Yang	4
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	4
+ PDF Chat	Asymptotic Properties of Criteria for Selection of Variables in Multiple Regression	1984	Ryuei Nishii	4
+	QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding	2016	Dan Alistarh Demjan Grubic Jerry Li Ryota Tomioka Milan Vojnović	4
+ PDF Chat	Decoding by Linear Programming	2005	Emmanuel J. Candès Terence Tao	4
+	Asymptotic Statistics	1998	Aad van der Vaart	4
+	COMPARING LEARNING METHODS FOR CLASSIFICATION	2006	Yuhong Yang	4