 Forward and Inverse Approximation Theory for Linear Temporal
Convolutional NetworksInternational Conference on Geometric Science of Information (GSI), 2023 |
 Alternating Local Enumeration (TnALE): Solving Tensor Network Structure
Search with Fewer EvaluationsInternational Conference on Machine Learning (ICML), 2023 |
 Filter Pruning based on Information Capacity and IndependenceIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 |
 Permutation Search of Tensor Network Structures via Local SamplingInternational Conference on Machine Learning (ICML), 2022 |
 A Unified Weight Initialization Paradigm for Tensorial Convolutional
Neural NetworksInternational Conference on Machine Learning (ICML), 2022 |
 Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest FiltersIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 |
 Tensor Methods in Computer Vision and Deep LearningProceedings of the IEEE (Proc. IEEE), 2021 |
 Carrying out CNN Channel Pruning in a White BoxIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 |
 Lottery Jackpots Exist in Pre-trained ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 |
 SiMaN: Sign-to-Magnitude Network BinarizationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 |
 Network Pruning using Adaptive Exemplar FiltersIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 |
 Learning Efficient GANs for Image Translation via Differentiable Masks
and co-Attention DistillationIEEE transactions on multimedia (TMM), 2020 |
 Rotated Binary Neural NetworkNeural Information Processing Systems (NeurIPS), 2020 |
 A Survey of Methods for Low-Power Deep Learning and Computer VisionWorld Forum on Internet of Things (WF-IoT), 2020 |
 Filter Sketch for Network PruningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 |
