no code implementations • LTEDI (ACL) 2022 • Yue Zhu
The task shared by sponsor about Hope Speech Detection for Equality, Diversity, and Inclusion at LT-EDI-ACL-2022. The goal of this task is to identify whether a given comment contains hope speech or not, and hope is considered significant for the well-being, recuperation and restoration of human life. Our work aims to change the prevalent way of thinking by moving away from a preoccupation with discrimination, loneliness or the worst things in life to building the confidence, support and good qualities based on comments by individuals.
no code implementations • 4 Apr 2024 • Pol G. Recasens, Yue Zhu, Chen Wang, Eun Kyung Lee, Olivier Tardieu, Alaa Youssef, Jordi Torres, Josep Ll. Berral
Large language models (LLMs) have revolutionized the state-of-the-art of many different natural language processing tasks.
no code implementations • 18 Nov 2023 • Yue Zhu
The Universal Basic Computing Power (UBCP) initiative ensures global, free access to a set amount of computing power specifically for AI research and development (R&D).
1 code implementation • ICCV 2023 • Yue Zhu, Nermin Samet, David Picard
We also propose three tasks: i) 3D whole-body pose lifting from 2D complete whole-body pose, ii) 3D whole-body pose lifting from 2D incomplete whole-body pose, and iii) 3D whole-body pose estimation from a single RGB image.
Ranked #2 on 3D Human Pose Estimation on H3WB
1 code implementation • 5 Oct 2022 • Yue Zhu, David Picard
3D human pose estimation is a challenging task because of the difficulty to acquire ground-truth data outside of controlled environments.
1 code implementation • 4 Apr 2022 • Yue Zhu, Yunjie Gu, Yitong Li, Timothy C. Green
Impedance models of power systems are useful when state-space models of apparatus such as inverter-based resources (IBRs) have not been made available and instead only black-box impedance models are available.
1 code implementation • 27 Dec 2021 • Yue Zhu, Mingyu Cai, Chris Schwarz, Junchao Li, Shaoping Xiao
At first, the obtained optimal policy from PPO is compared to those from DQN and DDQN.
1 code implementation • 8 Feb 2021 • Yue Zhu, Yunjie Gu, Yitong Li, Timothy C. Green
This paper develops a grey-box approach to small-signal stability analysis of complex power systems that facilitates root-cause tracing without requiring disclosure of the full details of the internal control structure of apparatus connected to the system.
no code implementations • 31 Oct 2019 • Luca Della Libera, Vladimir Golkov, Yue Zhu, Arman Mielke, Daniel Cremers
Convolutional networks are successful due to their equivariance/invariance under translations.
1 code implementation • Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2018 • Kai Ming Ting, Yue Zhu, Zhi-Hua Zhou
This paper investigates data dependent kernels that are derived directly from data.
no code implementations • 4 Apr 2017 • Yue Zhu, James T. Kwok, Zhi-Hua Zhou
In fact, in the real-world applications, both cases may occur that some label correlations are globally applicable and some are shared only in a local group of instances.