1 code implementation • 21 Sep 2023 • Yuan-Hang Zhang, Massimiliano Di Ventra
Digital MemComputing machines (DMMs), which employ nonlinear dynamical systems with memory (time non-locality), have proven to be a robust and scalable unconventional computing approach for solving a wide variety of combinatorial optimization problems.
1 code implementation • 20 Jan 2023 • Daniel Primosch, Yuan-Hang Zhang, Massimiliano Di Ventra
Digital memcomputing machines (DMMs) are a new class of computing machines that employ non-quantum dynamical systems with memory to solve combinatorial optimization problems.
no code implementations • Environmental Science & Technology 2021 • Xiao-Feng Huang, Li-Ming Cao, Xu-Dong Tian, * Qiao Zhu, Eri Saikawa, Li-Liang Lin, Yong Cheng, Ling-Yan He, * Min Hu, Yuan-Hang Zhang, Ke-Ding Lu, Yu-Han Liu, Kaspar Daellenbach, Jay G. Slowik, Qian Tang, Qiao-Li Zou, Xin Sun, Bing-Ye Xu, Lan Jiang, Ye-Min Shen, Nga Lee Ng, and André S. H. Prévôt*
The lockdown due to COVID-19 created a rare opportunity to examine the nonlinear responses of secondary aerosols, which are formed through atmospheric oxidation of gaseous precursors, to intensive precursor emission reductions.
no code implementations • 6 Feb 2021 • Yuan-Hang Zhang, Massimiliano Di Ventra
To investigate the reasons behind the robustness and effectiveness of this method, we employ three explicit integration schemes (forward Euler, trapezoid and Runge-Kutta 4th order) with a constant time step, to solve 3-SAT instances with planted solutions.
1 code implementation • 9 Apr 2020 • Yuan-Hang Zhang, Pei-Lin Zheng, Yi Zhang, Dong-Ling Deng
Quantum compiling, a process that decomposes the quantum algorithm into a series of hardware-compatible commands or elementary gates, is of fundamental importance for quantum computing.
1 code implementation • 12 Mar 2020 • Jing-Yun Xiao, Shuang Yang, Yuan-Hang Zhang, Shiguang Shan, Xilin Chen
Observing on the continuity in adjacent frames in the speaking process, and the consistency of the motion patterns among different speakers when they pronounce the same phoneme, we model the lip movements in the speaking process as a sequence of apparent deformations in the lip region.
Ranked #6 on Lipreading on CAS-VSR-W1k (LRW-1000)
1 code implementation • 6 Mar 2020 • Yuan-Hang Zhang, Shuang Yang, Jing-Yun Xiao, Shiguang Shan, Xilin Chen
Recent advances in deep learning have heightened interest among researchers in the field of visual speech recognition (VSR).
Ranked #2 on Lipreading on GRID corpus (mixed-speech)
1 code implementation • 7 Feb 2020 • Yuan-Hang Zhang, Rulin Huang, Jiabei Zeng, Shiguang Shan, Xilin Chen
This report describes a multi-modal multi-task ($M^3$T) approach underlying our submission to the valence-arousal estimation track of the Affective Behavior Analysis in-the-wild (ABAW) Challenge, held in conjunction with the IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2020.
2 code implementations • 16 Oct 2018 • Shuang Yang, Yuan-Hang Zhang, Dalu Feng, Mingmin Yang, Chenhao Wang, Jing-Yun Xiao, Keyu Long, Shiguang Shan, Xilin Chen
It has shown a large variation in this benchmark in several aspects, including the number of samples in each class, video resolution, lighting conditions, and speakers' attributes such as pose, age, gender, and make-up.
Ranked #1 on Lipreading on LRW-1000
no code implementations • 12 Jan 2017 • Yuan-Hang Zhang, Xie Li, Jing-Yun Xiao
In this paper, we propose an edge detector architecture for color images based on fuzzy theory and the Sobel operator.