no code implementations • 25 Mar 2024 • Yijia Guo, Yuanxi Bai, Liwen Hu, Mianzhi Liu, Ziyi Guo, Lei Ma, Tiejun Huang
As a neuromorphic sensor with high temporal resolution, spike cameras offer notable advantages over traditional cameras in high-speed vision applications such as high-speed optical estimation, depth estimation, and object tracking.
no code implementations • 25 Oct 2023 • Kejiang Qian, Lingjun Mao, Xin Liang, Yimin Ding, Jin Gao, Xinran Wei, Ziyi Guo, Jiajie Li
By integrating Multi-Agent Reinforcement Learning, our framework ensures that participatory urban planning decisions are more dynamic and adaptive to evolving community needs and provides a robust platform for automating complex real-world urban planning processes.
no code implementations • 8 Apr 2022 • Longshen Ou, Ziyi Guo, Emmanouil Benetos, Jiqing Han, Ye Wang
Most recent research about automatic music transcription (AMT) uses convolutional neural networks and recurrent neural networks to model the mapping from music signals to symbolic notation.
no code implementations • 12 Feb 2021 • Gang Wang, Ziyi Guo, Xiang Li, Dawei Yin, Shuai Ma
Collaborative filtering has been largely used to advance modern recommender systems to predict user preference.
no code implementations • 20 Nov 2019 • Lirong He, Ziyi Guo, Kai-Zhu Huang, Zenglin Xu
In a worst-case scenario, MPM tries to minimize an upper bound of misclassification probabilities, considering the global information (i. e., mean and covariance information of each class).
no code implementations • 30 Dec 2018 • Xianghong Fang, Haoli Bai, Ziyi Guo, Bin Shen, Steven Hoi, Zenglin Xu
In this paper, we propose a new unsupervised domain adaptation method named Domain-Adversarial Residual-Transfer (DART) learning of Deep Neural Networks to tackle cross-domain image classification tasks.
no code implementations • 5 Dec 2018 • Ying Shen, Joël Colloc, Armelle Jacquet-Andrieu, Ziyi Guo, Yong liu
Disease Ontology (DO) that pertains to cancer's clinical stages and their corresponding information components is utilized to improve the reasoning ability of a decision support system (DSS).
2 code implementations • 24 Oct 2018 • Yao Ma, Ziyi Guo, Zhaochun Ren, Eric Zhao, Jiliang Tang, Dawei Yin
Current graph neural network models cannot utilize the dynamic information in dynamic graphs.