Selected work by topics

Learning Theory

J. Ding, R. Calderbank, V. Tarokh, “Gradient Information for Representation and Modeling,” 2019 Conference on Neural Information Processing Systems (NeurIPS). pdf

G. Li, Y. Gu, J. Ding, “The Efficacy of L1 Regularization in Neural Networks,” preprint, 2020. pdf

J. Ding, E. Diao, J. Zhou, V. Tarokh, "On Statistical Efficiency in Learning," preprint, 2019. pdf

J. Zhang, J. Ding, Y. Yang, “A Binary Regression Adaptive Goodness-of-fit Test,” preprint, 2019. pdf

J. Ding, V. Tarokh, Y. Yang, “Optimal Variable Selection in Regression Models," preprint, 2018. pdf

Collaborative Learning

X. Xian, X. Wang, J. Ding, R. Ghanadan, “Assisted Learning and Imitation Privacy,” 2020 Conference on Neural Information Processing Systems (NeurIPS), Spotlight, 2020. pdf

E. Diao, J. Ding, V. Tarokh, "HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients," preprint. 2020. pdf

J. Zhou, J. Ding, K. M. Tan, and V. Tarokh, “Model Linkage Selection for Cooperative Learning,” preprint, 2020. pdf

C. Ye, J. Ding, and R. Ghanadan, “Meta Clustering for Collaborative Learning,” preprint, 2020. pdf

E. Diao, J. Ding, V. Tarokh, "Multimodal Controller for Generative Models," preprint, 2020. pdf

J. Ding and B. Ding, “Interval Privacy,” preprint, 2020. pdf 

X. Xian, X. Wang, M. Hong, J. Ding, R. Ghanadan, "Imitation Privacy," preprint, 2020. pdf

X. Wang, Y. Xiang, J. Gao, J. Ding, "Information Laundering for Model Privacy," preprint, 2020. pdf

J. Wang, M. Xue, and R. Culhane, E. Diao, J. Ding, and V. Tarokh, "Speech Emotion Recognition with Dual-Sequence LSTM Architecture," Proc. of ICASSP, 2020. pdf

S. Wu, E. Diao, J. Ding, V. Tarokh, "Deep Clustering of Compressed Variational Embeddings," 2020 Data Compression Conference. pdf

E. Diao, J. Ding, V. Tarokh, "Distributed Lossy Image Compression with Recurrent Networks," 2020 Data Compression Conference. pdf

E. Diao, J. Ding, V. Tarokh, “Restricted Recurrent Neural Networks,” 2019 IEEE International Conference on Big Data. pdf

E. Diao, J. Ding, V. Tarokh, "Multimodal Controller for Generative Models," preprint, 2020. pdf

Time Series Modeling and Prediction

J. Gao, J. Ding, "Large Deviation Principle for the Whittaker 2d Growth Model," preprint. 2020. pdf

J. Ding, J. Zhou, and V. Tarokh, “Asymptotically Optimal Prediction for Time-Varying Data Generating Processes,” IEEE Transactions on Information Theory, vol. 65, no. 5, pp. 3034-3067, 2019. pdf

J. Ding, S. Shahrampour, K. Heal, and V. Tarokh, “Analysis and Prediction of Multi-State Autoregressive Models,” IEEE Transactions on Signal Processing, vol. 66, no. 9, pp. 2429-2440, 2018. pdf

S. Shahrampour, M. Noshad, J. Ding, V. Tarokh, “Online Learning for Multimodal Data Fusion with Application to Object Recognition,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 65, no. 9, pp. 1259-1263, 2018. pdf

J. Ding, Y. Xiang, L. Shen, and V. Tarokh, “Multiple Change Point Analysis: Fast Implementation and Strong Consistency,” IEEE Transactions on Signal Processing, vol. 65, no. 17, pp. 4495-4510, 2017. pdf

Q. Han, J. Ding, E. Airoldi, and V. Tarokh, “SLANTS: Sequential Adaptive Nonlinear Modeling of Time Series,” IEEE Transactions on Signal Processing, vol. 65, no. 19, pp. 4994-5005, 2017. pdf 

Model Selection and Diagnostics

J. Ding, V. Tarokh, Y. Yang, “Bridging AIC and BIC: A New Criterion for Autoregression,” IEEE Transactions on Information Theory, vol. 64, no. 6, pp. 4024-4043, 2018. pdf

J. Ding, Y. Yang, V. Tarokh, “Model Selection Techniques--an overview,” IEEE Signal Processing Magazine (featured article), Nov. 2018. pdf 

S. Shao, P. Jacob, J. Ding, V. Tarokh, “Bayesian Model Comparison with the Hyvarinen Score: Computation and Consistency,” Journal of the American Statistical Association, vol. 114, no. 528, pp. 1826-1837, 2019. pdf 

Y. Xiang, J. Ding, V. Tarokh, “Evolutionary Spectra Based on the Multitaper Method with Application to Stationarity Test,” IEEE Transactions on Signal Processing, vol. 67, no. 5, pp. 1353-1365, 2019. pdf

J. Ding, L. Chen, Y. Gu, “Perturbation Analysis of Orthogonal Matching Pursuit,” IEEE Transactions on Signal Processing, vol. 61, no. 2, pp. 398-410, 2013. pdf 

Optical System

J. Ding, M. Noshad, and V. Tarokh, “Complementary Lattice Arrays for Coded Aperture Imaging,” Journal of the Optical Society of America, vol. 33, no. 5, pp. 863-881, 2016. pdf 

J. Ding, A. Bouabdallah, and V. Tarokh, “Key Pre-Distributions from Graph-Based Block Designs,” IEEE Sensors Journal, vol. 16, no. 6, pp. 1842-1850, 2015. pdf