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Jianqiao Ni
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Cited by
Year
Gradient Sparsification for Communication-Efficient Distributed Optimization
J Wangni, J Wang, J Liu, T Zhang
Advances in Neural Information Processing Systems, 1306-1316, 2018
6142018
Normalized diversification
S Liu, X Zhang, J Wangni, J Shi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
262019
Towards statistically provable geometric 3d human pose recovery
J Wangni, D Lin, J Liu, K Daniilidis, J Shi
SIAM Journal on Imaging Sciences 14 (1), 246-270, 2021
72021
Hardware-Friendly Convolutional Neural Network with Even-Number Filter Size
S Yao, S Han, K Guo, J Wangni, Y Wang
52016
Nonlinear Feature Extraction with Max-Margin Data Shifting
J Wangni, N Chen
AAAI, 2208-2214, 2016
42016
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis
J Teng, W Zheng, M Ding, W Hong, J Wangni, Z Yang, J Tang
arXiv preprint arXiv:2309.03350, 2023
32023
Learning sparse visual representations with leaky capped norm regularizers
J Wangni, D Lin
arXiv preprint arXiv:1711.02857, 2017
32017
Training L1-regularized models with orthant-wise passive descent algorithms
J Wangni
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence …, 2018
22018
Trajectory Normalized Gradients for Distributed Optimization
J Wangni, K Li, J Shi, J Malik
arXiv preprint arXiv:1901.08227, 2019
12019
Monocular 3D Pose Recovery via Nonconvex Sparsity with Theoretical Analysis
J Wangni, D Lin, J Liu, K Daniilidis, J Shi
arXiv preprint arXiv:1812.11295, 2018
12018
Orthant-Wise Passive Descent Algorithms for Training L1-Regularized Models
J Wangni
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
12018
Stochastic orthant-wise limited-memory quasi-newton method
J Wangni
arXiv: 1704.07987 v1, 2017
12017
Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense
J Wangni
arXiv preprint arXiv:2309.06724, 2023
2023
Robust Boosting Forests with Richer Deep Feature Hierarchy
J Wangni
arXiv preprint arXiv:2210.16451, 2022
2022
Quantized Adaptive Subgradient Algorithms and Their Applications
K Xu, J Wangni, Y Zhang, D Ye, J Wu, P Zhao
arXiv preprint arXiv:2208.05631, 2022
2022
Learning Random Fourier Features by Hybrid Constrained Optimization
J Wangni, J Zhuo, J Zhu
arXiv preprint arXiv:1712.02527, 2017
2017
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