2 code implementations • ICLR Workshop GTRL 2021 • Ziwei Zhang, Yijian Qin, Zeyang Zhang, Chaoyu Guan, Jie Cai, Heng Chang, Jiyan Jiang, Haoyang Li, Zixin Sun, Beini Xie, Yang Yao, YiPeng Zhang, Xin Wang, Wenwu Zhu
To fill this gap, we present Automated Graph Learning (AutoGL), the first dedicated library for automated machine learning on graphs.
1 code implementation • 5 May 2023 • Hong Chen, YiPeng Zhang, Simin Wu, Xin Wang, Xuguang Duan, Yuwei Zhou, Wenwu Zhu
To tackle the problems, we propose DisenBooth, an identity-preserving disentangled tuning framework for subject-driven text-to-image generation.
1 code implementation • 29 Mar 2022 • Christopher Thomas, YiPeng Zhang, Shih-Fu Chang
In this paper, we propose an extension of this task, where the goal is to predict the logical relationship of fine-grained knowledge elements within a piece of text to an image.
1 code implementation • 17 Jul 2022 • QIUJING LU, YiPeng Zhang, Mingjian Lu, Vwani Roychowdhury
We propose a novel framework, On-Demand MOtion Generation (ODMO), for generating realistic and diverse long-term 3D human motion sequences conditioned only on action types with an additional capability of customization.
Ranked #1 on Human action generation on UESTC RGB-D
no code implementations • 23 Nov 2018 • Meng Lan, YiPeng Zhang, Lefei Zhang, Bo Du
In this work, we study the performance of the region-based CNN for the electrical equipment defect detection by using the UAV images.
no code implementations • COLING 2020 • Minh Tran, YiPeng Zhang, Mohammad Soleymani
Offensive and abusive language is a pressing problem on social media platforms.
no code implementations • 2 Jul 2021 • YiPeng Zhang, Tyler L. Hayes, Christopher Kanan
Humans are incredibly good at transferring knowledge from one domain to another, enabling rapid learning of new tasks.
no code implementations • 12 Aug 2021 • YiPeng Zhang, Mingjian Lu, Saratchandra Indrakanti, Manojkumar Rangasamy Kannadasan, Abraham Bagherjeiran
To that end, we propose a hybrid framework extended from traditional slate optimization to solve the conditional slate optimization problem.
no code implementations • 20 Nov 2021 • YiPeng Zhang, Bingliang Hu, Hailong Ning, Quang Wang
The AdaReLU can dynamically adjust the slope parameters according to the target style and can be utilized to increase the controllability by combining with Adaptive Instance Normalization (AdaIN).
no code implementations • 28 Nov 2022 • Xutan Peng, YiPeng Zhang, Jingfeng Yang, Mark Stevenson
Although it has been demonstrated that Natural Language Processing (NLP) algorithms are vulnerable to deliberate attacks, the question of whether such weaknesses can lead to software security threats is under-explored.
no code implementations • 2 Nov 2023 • Hong Chen, Xin Wang, Guanning Zeng, YiPeng Zhang, Yuwei Zhou, Feilin Han, Wenwu Zhu
The video generator is further customized for the given multiple subjects by the proposed Disen-Mix Finetuning and Human-in-the-Loop Re-finetuning strategy, which can tackle the attribute binding problem of multi-subject generation.
no code implementations • 23 Feb 2024 • Yuzhe Zhang, YiPeng Zhang, Yidong Gan, Lina Yao, Chen Wang
We propose a novel method that utilizes the extensive knowledge contained within a large corpus of scientific literature to deduce causal relationships in general causal graph recovery tasks.