Jianqiao Wangni

According to our database, Jianqiao Wangni authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Convolutional Networks as Extremely Small Foundation Models: Visual Prompting and Theoretical Perspective.

Jianqiao Wangni

CoRR, 2024

Relay Diffusion: Unifying diffusion process across resolutions for image synthesis.

Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense.

Jianqiao Wangni

CoRR, 2023

2022

Robust Boosting Forests with Richer Deep Feature Hierarchy.

Jianqiao Wangni

CoRR, 2022

Quantized Adaptive Subgradient Algorithms and Their Applications.

Ke Xu, Jianqiao Wangni, Yifan Zhang, Deheng Ye, Jiaxiang Wu, Peilin Zhao

CoRR, 2022

2021

Towards Statistically Provable Geometric 3D Human Pose Recovery.

Jianqiao Wangni, Dahua Lin, Ji Liu, Kostas Daniilidis, Jianbo Shi

SIAM J. Imaging Sci., 2021

2019

Trajectory Normalized Gradients for Distributed Optimization.

Jianqiao Wangni, Ke Li, Jianbo Shi, Jitendra Malik

CoRR, 2019

Normalized Diversification.

Shaohui Liu, Xiao Zhang, Jianqiao Wangni, Jianbo Shi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Monocular 3D Pose Recovery via Nonconvex Sparsity with Theoretical Analysis.

Jianqiao Wangni, Dahua Lin, Ji Liu, Kostas Daniilidis, Jianbo Shi

CoRR, 2018

Gradient Sparsification for Communication-Efficient Distributed Optimization.

Jianqiao Wangni, Jialei Wang, Ji Liu, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Orthant-Wise Passive Descent Algorithms for Training L₁-Regularized Models.

Jianqiao Wangni

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Learning Random Fourier Features by Hybrid Constrained Optimization.

Jianqiao Wangni, Jingwei Zhuo, Jun Zhu

CoRR, 2017

Learning Sparse Visual Representations with Leaky Capped Norm Regularizers.

Jianqiao Wangni, Dahua Lin

CoRR, 2017

Stochastic Orthant-Wise Limited-Memory Quasi-Newton Method.

Jianqiao Wangni

CoRR, 2017

2016

Nonlinear Feature Extraction with Max-Margin Data Shifting.

Jianqiao Wangni, Ning Chen

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016