no code implementations • 26 Jan 2024 • Zhenliang Zhang, Zeyu Zhang, Ziyuan Jiao, Yao Su, Hangxin Liu, Wei Wang, Song-Chun Zhu
Artificial intelligence (AI) has revolutionized human cognitive abilities and facilitated the development of new AI entities capable of interacting with humans in both physical and virtual environments.
1 code implementation • 16 Oct 2023 • Rujie Wu, Xiaojian Ma, Zhenliang Zhang, Wei Wang, Qing Li, Song-Chun Zhu, Yizhou Wang
We even conceived a neuro-symbolic reasoning approach that reconciles LLMs & VLMs with logical reasoning to emulate the human problem-solving process for Bongard Problems.
Ranked #1 on Visual Reasoning on Bongard-OpenWorld
no code implementations • 14 Jan 2023 • Hangxin Liu, Zeyu Zhang, Ziyuan Jiao, Zhenliang Zhang, Minchen Li, Chenfanfu Jiang, Yixin Zhu, Song-Chun Zhu
In this work, we present a reconfigurable data glove design to capture different modes of human hand-object interactions, which are critical in training embodied artificial intelligence (AI) agents for fine manipulation tasks.
1 code implementation • 6 Oct 2020 • HanQin Cai, Daniel Mckenzie, Wotao Yin, Zhenliang Zhang
By treating the gradient as an unknown signal to be recovered, we show how one can use tools from one-bit compressed sensing to construct a robust and reliable estimator of the normalized gradient.
1 code implementation • 29 Mar 2020 • HanQin Cai, Daniel Mckenzie, Wotao Yin, Zhenliang Zhang
We consider the problem of minimizing a high-dimensional objective function, which may include a regularization term, using (possibly noisy) evaluations of the function.
no code implementations • 30 Nov 2016 • Qunwei Li, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Zhenliang Zhang, Pramod K. Varshney
Influential node detection is a central research topic in social network analysis.
no code implementations • 19 Nov 2012 • Zhenliang Zhang, Edwin K. P. Chong, Ali Pezeshki, William Moran
In the case where the flipping probabilities converge to 1/2, we derive a necessary condition on the convergence rate of the flipping probabilities such that the decisions still converge to the underlying truth.