Publications (10)
End-to-end deep learning for superoscillatory subtraction imaging
Zhongwei Jin, Keyi Chen, Qiuyu Ren +7
Breaking the diffraction limit in optical imaging is crucial for resolving subwavelength details in a wide range of applications, where superoscillatory imaging and subtraction ima…
Superoscillation focusing of high-order cylindrical-vector beams
Zhongwei Jin, Yijie Jin, Fangzhou Shu +6
Traditional superoscillation focusing typically requires complex optimization of the incident light field. These complexities may limit the practical application of superoscillatio…
Generalized Implicit Follow-The-Regularized-Leader
Keyi Chen, Francesco Orabona
We propose a new class of online learning algorithms, generalized implicit Follow-The-Regularized-Leader (FTRL), that expands the scope of FTRL framework. Generalized implicit FTRL…
Dowling's polynomial conjecture for independent sets of matroids
Shiqi Cao, Keyi Chen, Yitian Li +1
The celebrated Mason's conjecture states that the sequence of independent set numbers of any matroid is log-concave, and even ultra log-concave. The strong form of Mason's conjectu…
Implicit Interpretation of Importance Weight Aware Updates
Keyi Chen, Francesco Orabona
Due to its speed and simplicity, subgradient descent is one of the most used optimization algorithms in convex machine learning algorithms. However, tuning its learning rate is pro…
Implicit Parameter-free Online Learning with Truncated Linear Models
Keyi Chen, Ashok Cutkosky, Francesco Orabona
Parameter-free algorithms are online learning algorithms that do not require setting learning rates. They achieve optimal regret with respect to the distance between the initial po…
SPICA: Interactive Video Content Exploration through Augmented Audio Descriptions for Blind or Low-Vision Viewers
Zheng Ning, Brianna L. Wimer, Kaiwen Jiang +5
Blind or Low-Vision (BLV) users often rely on audio descriptions (AD) to access video content. However, conventional static ADs can leave out detailed information in videos, impose…
Topology-Agnostic Animal Motion Generation from Text Prompt
Keyi Chen, Mingze Sun, Zhenyu Liu +2
Motion generation is fundamental to computer animation and widely used across entertainment, robotics, and virtual environments. While recent methods achieve impressive results, mo…
ARMO: Autoregressive Rigging for Multi-Category Objects
Mingze Sun, Shiwei Mao, Keyi Chen +5
Recent advancements in large-scale generative models have significantly improved the quality and diversity of 3D shape generation. However, most existing methods focus primarily on…
Better Parameter-free Stochastic Optimization with ODE Updates for Coin-Betting
Keyi Chen, John Langford, Francesco Orabona
Parameter-free stochastic gradient descent (PFSGD) algorithms do not require setting learning rates while achieving optimal theoretical performance. In practical applications, howe…