Jianqiao Wangni

20 papers A* 5Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	GPT Carry-On: Training Foundation Model for Customization Could Be Simple, Scalable and Affordable. CoRR Jianqiao Wangni
2024	J	`jnl`	Convolutional Networks as Extremely Small Foundation Models: Visual Prompting and Theoretical Perspective. CoRR Jianqiao Wangni
2024	J	`jnl`	Language Models and Cycle Consistency for Self-Reflective Machine Translation. CoRR Jianqiao Wangni
2024	A*	`conf`	Relay Diffusion: Unifying diffusion process across resolutions for image synthesis. ICLR Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang
2023	J	`jnl`	Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense. CoRR Jianqiao Wangni
2023	J	`jnl`	Relay Diffusion: Unifying diffusion process across resolutions for image synthesis. CoRR Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang
2022	J	`jnl`	Quantized Adaptive Subgradient Algorithms and Their Applications. CoRR Ke Xu, Jianqiao Wangni, Yifan Zhang, Deheng Ye, Jiaxiang Wu, Peilin Zhao
2022	J	`jnl`	Robust Boosting Forests with Richer Deep Feature Hierarchy. CoRR Jianqiao Wangni
2021	J	`jnl`	Towards Statistically Provable Geometric 3D Human Pose Recovery. SIAM J. Imaging Sci. Jianqiao Wangni, Dahua Lin, Ji Liu, Kostas Daniilidis, Jianbo Shi
2019	A*	`conf`	Normalized Diversification. CVPR Shaohui Liu, Xiao Zhang, Jianqiao Wangni, Jianbo Shi
2019	J	`jnl`	Normalized Diversification. CoRR Shaohui Liu, Xiao Zhang, Jianqiao Wangni, Jianbo Shi
2019	J	`jnl`	Trajectory Normalized Gradients for Distributed Optimization. CoRR Jianqiao Wangni, Ke Li, Jianbo Shi, Jitendra Malik
2018	A*	`conf`	Gradient Sparsification for Communication-Efficient Distributed Optimization. NeurIPS Jianqiao Wangni, Jialei Wang, Ji Liu, Tong Zhang
2018	J	`jnl`	Monocular 3D Pose Recovery via Nonconvex Sparsity with Theoretical Analysis. CoRR Jianqiao Wangni, Dahua Lin, Ji Liu, Kostas Daniilidis, Jianbo Shi
2018	A*	`conf`	Orthant-Wise Passive Descent Algorithms for Training L AAAI Jianqiao Wangni
2017	J	`jnl`	Gradient Sparsification for Communication-Efficient Distributed Optimization. CoRR Jianqiao Wangni, Jialei Wang, Ji Liu, Tong Zhang
2017	J	`jnl`	Learning Random Fourier Features by Hybrid Constrained Optimization. CoRR Jianqiao Wangni, Jingwei Zhuo, Jun Zhu
2017	J	`jnl`	Learning Sparse Visual Representations with Leaky Capped Norm Regularizers. CoRR Jianqiao Wangni, Dahua Lin
2017	J	`jnl`	Stochastic Orthant-Wise Limited-Memory Quasi-Newton Method. CoRR Jianqiao Wangni
2016	A*	`conf`	Nonlinear Feature Extraction with Max-Margin Data Shifting. AAAI Jianqiao Wangni, Ning Chen