no code implementations • 20 May 2024 • Yihan Wu, Tao Chang, Siliang Chen, Xiaodong Niu, Yu Li, Yuan Fang, Lei Yang, Yixuan Zong, Yaoxin Yang, Yuehua Li, Mengsong Wang, Wen Yang, Yixuan Wu, Chen Fu, Xia Fang, Yuxin Quan, Xilin Peng, Qiang Sun, Marc M. Van Hulle, Yanhui Liu, Ning Jiang, Dario Farina, Yuan Yang, Jiayuan He, Qing Mao
Glioma cells can reshape functional neuronal networks by hijacking neuronal synapses, leading to partial or complete neurological dysfunction.
no code implementations • 16 Mar 2024 • Hang Yin, Dong Ding, Liyao Xiang, Yuheng He, Yihan Wu, Xinbing Wang, Chenghu Zhou
We investigate the entity alignment problem with unlabeled dangling cases, meaning that there are entities in the source or target graph having no counterparts in the other, and those entities remain unlabeled.
no code implementations • 14 Mar 2024 • Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang
Few-Shot Class-Incremental Learning (FSCIL) models aim to incrementally learn new classes with scarce samples while preserving knowledge of old ones.
1 code implementation • 19 Feb 2024 • Ruibo Chen, Yihan Wu, Lichang Chen, Guodong Liu, Qi He, Tianyi Xiong, Chenxi Liu, Junfeng Guo, Heng Huang
In the first stage, we devise a scoring network to evaluate the difficulty of training instructions, which is co-trained with the VLM.
no code implementations • 31 Jan 2024 • Yihan Wu, Soumi Maiti, Yifan Peng, Wangyou Zhang, Chenda Li, Yuyue Wang, Xihua Wang, Shinji Watanabe, Ruihua Song
Existing speech language models typically utilize task-dependent prompt tokens to unify various speech tasks in a single model.
no code implementations • 27 Oct 2023 • Ruibo Chen, Tianyi Xiong, Yihan Wu, Guodong Liu, Zhengmian Hu, Lichang Chen, Yanshuo Chen, Chenxi Liu, Heng Huang
This technical report delves into the application of GPT-4 Vision (GPT-4V) in the nuanced realm of COVID-19 image classification, leveraging the transformative potential of in-context learning to enhance diagnostic processes.
no code implementations • 11 Oct 2023 • Yihan Wu, Zhengmian Hu, Hongyang Zhang, Heng Huang
Watermarking techniques offer a promising way to secure data via embedding covert information into the data.
no code implementations • 4 Oct 2023 • Yihan Wu, Brandon Y. Feng, Heng Huang
In this paper, we introduce an innovative method of safeguarding user privacy against the generative capabilities of Neural Radiance Fields (NeRF) models.
no code implementations • 18 Sep 2023 • Yihan Wu, Tao Chang, Peng Xu, Yangsong Zhang
Graph Neural Networks (GNNs) have received considerable attention since its introduction.
no code implementations • 22 Aug 2023 • Yihan Wu, Lana Vasung, Camilo Calixto, Ali Gholipour, Davood Karimi
The new computational method and results are useful for assessing normal and abnormal development of the structural connectome early in life.
no code implementations • CVPR 2023 • Yimu Wang, Dinghuai Zhang, Yihan Wu, Heng Huang, Hongyang Zhang
We identify a phenomenon named player domination in the bargaining game, namely that the existing max-based approaches, such as MAX and MSD, do not converge.
no code implementations • 20 May 2023 • Yuyue Wang, Huan Xiao, Yihan Wu, Ruihua Song
Considering comedians have diverse personal speech styles, including personal prosody, rhythm, and fillers, it requires real-world datasets and strong speech style modeling capabilities, which brings challenges.
1 code implementation • 30 Dec 2022 • Zehua Chen, Yihan Wu, Yichong Leng, Jiawei Chen, Haohe Liu, Xu Tan, Yang Cui, Ke Wang, Lei He, Sheng Zhao, Jiang Bian, Danilo Mandic
Denoising Diffusion Probabilistic Models (DDPMs) are emerging in text-to-speech (TTS) synthesis because of their strong capability of generating high-fidelity samples.
1 code implementation • 9 Dec 2022 • Yihan Wu, Aleksandar Bojchevski, Heng Huang
In this paper, we extensively study this phenomenon for graph data.
1 code implementation • 30 Nov 2022 • Yihan Wu, Junliang Guo, Xu Tan, Chen Zhang, Bohan Li, Ruihua Song, Lei He, Sheng Zhao, Arul Menezes, Jiang Bian
In this paper, we propose a machine translation system tailored for the task of video dubbing, which directly considers the speech duration of each token in translation, to match the length of source and target speech.
no code implementations • 22 Nov 2022 • Zhifang Guo, Yichong Leng, Yihan Wu, Sheng Zhao, Xu Tan
Thus, we develop a text-to-speech (TTS) system (dubbed as PromptTTS) that takes a prompt with both style and content descriptions as input to synthesize the corresponding speech.
1 code implementation • 19 Nov 2022 • Yihan Wu, Xinda Li, Florian Kerschbaum, Heng Huang, Hongyang Zhang
In this paper, we study the problem of learning a robust dataset such that any classifier naturally trained on the dataset is adversarially robust.
no code implementations • 23 Sep 2022 • Adrien Doerig, Tim C Kietzmann, Emily Allen, Yihan Wu, Thomas Naselaris, Kendrick Kay, Ian Charest
Interpreting the meaning of a visual scene requires not only identification of its constituent objects, but also a rich semantic characterization of object interrelations.
no code implementations • 9 Jul 2022 • Yihan Wu, Min Xia, Xiuzhu Wang, Yangsong Zhang
This study demonstrated that the structure of RAE is able to capture the differential features between SZ patients and HC subjects.
no code implementations • 25 Jun 2022 • Yihan Wu, Xi Wang, Shaofei Zhang, Lei He, Ruihua Song, Jian-Yun Nie
In this paper, we propose a novel framework for learning style representation from abundant plain text in a self-supervised manner.
no code implementations • 17 Jun 2022 • Yihan Wu, Hongyang Zhang, Heng Huang
The challenge is to design a provably robust algorithm that takes into consideration the 1-NN search and the high-dimensional nature of the embedding space.
no code implementations • 1 Apr 2022 • Yihan Wu, Xu Tan, Bohan Li, Lei He, Sheng Zhao, Ruihua Song, Tao Qin, Tie-Yan Liu
We model the speaker characteristics systematically to improve the generalization on new speakers.
no code implementations • 23 Feb 2022 • Yihan Wu, Heng Huang, Hongyang Zhang
We prove a Lipschitzness lower bound $\Omega(\sqrt{n/p})$ of the interpolating neural network with $p$ parameters on arbitrary data distributions.
no code implementations • 13 Oct 2021 • Yihan Wu, Min Xia, Li Nie, Yangsong Zhang, Andong Fan
In recent years, emotion recognition based on electroencephalography (EEG) has received growing interests in the brain-computer interaction (BCI) field.
no code implementations • 29 Sep 2021 • Yihan Wu, Heng Huang
In this paper, we boost the performance of deep metric learning (DML) models with adversarial examples generated by attacking two new objective functions: \textit{intra-class alignment} and \textit{hyperspherical uniformity}.
2 code implementations • 15 May 2021 • Zijin Gu, Keith W. Jamison, Meenakshi Khosla, Emily J. Allen, Yihan Wu, Thomas Naselaris, Kendrick Kay, Mert R. Sabuncu, Amy Kuceyeski
NeuroGen combines an fMRI-trained neural encoding model of human vision with a deep generative network to synthesize images predicted to achieve a target pattern of macro-scale brain activation.