Jie Ding 0002 - researchr alias

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Viewing Publication 1 - 42 from 42

2024

Quickest Change Detection for Unnormalized Statistical ModelsSuya Wu, Enmao Diao, Taposh Banerjee, Jie Ding 0002, Vahid Tarokh. TIT, 70(2):1220-1232, February 2024. [doi]

2023

Towards Understanding Variation-Constrained Deep Neural NetworksGen Li 0005, Jie Ding 0002. tsp, 71:631-640, 2023. [doi]

Assisted Unsupervised Domain AdaptationCheng Chen, Jiawei Zhang, Jie Ding 0002, Yi Zhou. isit 2023: 2482-2487 [doi]

Assisted Learning for Organizations with Limited Imbalanced DataCheng Chen, Jiaying Zhou, Jie Ding 0002, Yi Zhou. tmlr, 2023, 2023. [doi]

Pruning Deep Neural Networks from a Sparsity PerspectiveEnmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang 0002, Jie Ding 0002, Vahid Tarokh. iclr 2023: [doi]

Quantifying Catastrophic Forgetting in Continual Federated LearningChristophe Dupuy, Jimit Majmudar, Jixuan Wang, Tanya G. Roosta, Rahul Gupta 0001, Clement Chung, Jie Ding 0002, Salman Avestimehr. icassp 2023: 1-5 [doi]

Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO RegularizationGen Li, Ganghua Wang, Jie Ding 0002. TIT, 69(9):5921-5935, September 2023. [doi]

Exploring Gradient Oscillation in Deep Neural Network TrainingChedi Morchdi, Yi Zhou 0017, Jie Ding 0002, Bei Wang. allerton 2023: 1-7 [doi]

Federated Alternate Training (Fat): Leveraging Unannotated Data Silos in Federated Segmentation for Medical ImagingErum Mushtaq, Yavuz Faruk Bakman, Jie Ding 0002, Salman Avestimehr. isbi 2023: 1-5 [doi]

Robust Quickest Change Detection for Unnormalized ModelsSuya Wu, Enmao Diao, Jie Ding 0002, Taposh Banerjee, Vahid Tarokh. uai 2023: 2314-2323 [doi]

Score-based Quickest Change Detection for Unnormalized ModelsSuya Wu, Enmao Diao, Taposh Banerjee, Jie Ding 0002, Vahid Tarokh. aistats 2023: 10546-10565 [doi]

A Unified Detection Framework for Inference-Stage Backdoor DefensesXun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding 0002. nips 2023: [doi]

Understanding Backdoor Attacks through the Adaptability HypothesisXun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding 0002. icml 2023: 37952-37976 [doi]

Characteristic Neural Ordinary Differential EquationXingzi Xu, Ali-Hasan, Khalil Elkhalil, Jie Ding 0002, Vahid Tarokh. iclr 2023: [doi]

Visualizing and Analyzing the Topology of Neuron Activations in Deep Adversarial TrainingYoujia Zhou, Yi Zhou 0017, Jie Ding 0002, Bei Wang 0001. tagml 2023: 134-145 [doi]

2022

Interval Privacy: A Framework for Privacy-Preserving Data CollectionJie Ding 0002, Bangjun Ding. tsp, 70:2443-2459, 2022. [doi]

$\ell _1$ Regularization in Two-Layer Neural NetworksGen Li 0005, Yuantao Gu, Jie Ding 0002. spl, 29:135-139, 2022. [doi]

Multimodal Controller for Generative ModelsEnmao Diao, Jie Ding 0002, Vahid Tarokh. cvmi 2023: 109-121 [doi]

SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate TrainingEnmao Diao, Jie Ding 0002, Vahid Tarokh. nips 2022: [doi]

GAL: Gradient Assisted Learning for Decentralized Multi-Organization CollaborationsEnmao Diao, Jie Ding 0002, Vahid Tarokh. nips 2022: [doi]

Personalized Federated Recommender Systems with Private and Partially Federated AutoEncodersQi Le, Enmao Diao, Xinran Wang, Ali Anwar 0005, Vahid Tarokh, Jie Ding 0002. acssc 2022: 1157-1163 [doi]

On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-ConnectionsMohammadreza Soltani, Suya Wu, Yuerong Li, Jie Ding 0002, Vahid Tarokh. dcc 2022: 482 [doi]

Parallel Assisted LearningXinran Wang, Jiawei Zhang, Mingyi Hong, Yuhong Yang, Jie Ding 0002. tsp, 70:5848-5858, 2022. [doi]

Score-Based Hypothesis Testing for Unnormalized ModelsSuya Wu, Enmao Diao, Khalil Elkhalil, Jie Ding 0002, Vahid Tarokh. access, 10:71936-71950, 2022. [doi]

Understanding Model Extraction GamesXun Xian, Mingyi Hong, Jie Ding 0002. tpsisa 2022: 285-294 [doi]

Mismatched Supervised LearningXun Xian, Mingyi Hong, Jie Ding 0002. icassp 2022: 4228-4232 [doi]

2021

On Statistical Efficiency in LearningJie Ding 0002, Enmao Diao, Jiawei Zhou, Vahid Tarokh. TIT, 67(4):2488-2506, 2021. [doi]

HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous ClientsEnmao Diao, Jie Ding 0002, Vahid Tarokh. iclr 2021: [doi]

Fisher Auto-EncodersKhalil Elkhalil, Ali-Hasan, Jie Ding 0002, Sina Farsiu, Vahid Tarokh. aistats 2021: 352-360 [doi]

Hybrid Control Synthesis for Turing Instability and Hopf Bifurcation of Marine Planktonic Ecosystems With DiffusionYunxiang Lu, Min Xiao, Jinling Liang, Jie Ding 0002, Ying Zhou, Youhong Wan, Chunxia Fan. access, 9:111326-111335, 2021. [doi]

Compressing Deep Networks Using Fisher Score of Feature MapsMohammadreza Soltani, Suya Wu, Yuerong Li, Robert J. Ravier, Jie Ding 0002, Vahid Tarokh. dcc 2021: 371 [doi]

Information Laundering for Model PrivacyXinran Wang, Yu Xiang, Jun Gao, Jie Ding 0002. iclr 2021: [doi]

Model Linkage Selection for Cooperative LearningJiaying Zhou, Jie Ding 0002, Kean Ming Tan, Vahid Tarokh. jmlr, 22, 2021. [doi]

Assisted Learning: Cooperative AI with AutonomyJiaying Zhou, Xun Xian, Na Li, Jie Ding 0002. icassp 2021: 3130-3134 [doi]

2020

Perception-Distortion Trade-Off with Restricted Boltzmann MachinesChris Cannella, Jie Ding 0002, Mohammadreza Soltani, Yi Zhou, Vahid Tarokh. icassp 2020: 4022-4026 [doi]

DRASIC: Distributed Recurrent Autoencoder for Scalable Image CompressionEnmao Diao, Jie Ding 0002, Vahid Tarokh. dcc 2020: 3-12 [doi]

Supervised Encoding for Discrete Representation LearningCat P. Le, Yi Zhou, Jie Ding 0002, Vahid Tarokh. icassp 2020: 3447-3451 [doi]

On the Information of Feature Maps and Pruning of Deep Neural NetworksMohammadreza Soltani, Suya Wu, Jie Ding 0002, Robert J. Ravier, Vahid Tarokh. icpr 2021: 6988-6995 [doi]

Speech Emotion Recognition with Dual-Sequence LSTM ArchitectureJianyou Wang, Michael Xue, Ryan Culhane, Enmao Diao, Jie Ding 0002, Vahid Tarokh. icassp 2020: 6474-6478 [doi]

Deep Clustering of Compressed Variational EmbeddingsSuya Wu, Enmao Diao, Jie Ding 0002, Vahid Tarokh. dcc 2020: 399 [doi]

Assisted Learning: A Framework for Multi-Organization LearningXun Xian, Xinran Wang, Jie Ding 0002, Reza Ghanadan. nips 2020: [doi]

2019

Restricted Recurrent Neural NetworksEnmao Diao, Jie Ding 0002, Vahid Tarokh. bigdataconf 2019: 56-63 [doi]

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