no code implementations • 2 Feb 2024 • Honglei Zhang, He Liu, Haoxuan Li, Yidong Li
To this end, we propose a transferable federated recommendation model with universal textual representations, TransFR, which delicately incorporates the general capabilities empowered by pre-trained language models and the personalized abilities by fine-tuning local private data.
1 code implementation • 9 Jun 2023 • Aidan O. T. Hogg, Mads Jenkins, He Liu, Isaac Squires, Samuel J. Cooper, Lorenzo Picinali
An individualised head-related transfer function (HRTF) is very important for creating realistic virtual reality (VR) and augmented reality (AR) environments.
no code implementations • 23 Mar 2023 • Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Ellen Novoseller, Vinicius G. Goecks, Nicholas Waytowich, David Watkins, Josh Miller, Rohin Shah
To facilitate research in the direction of fine-tuning foundation models from human feedback, we held the MineRL BASALT Competition on Fine-Tuning from Human Feedback at NeurIPS 2022.
no code implementations • 19 Jul 2022 • Xiaochun Lei, Weiliang Mai, Junlin Xie, He Liu, Zetao Jiang, Zhaoting Gong, Chang Lu, Linjun Lu
The proposed method, KinD-LCE, uses a light curve estimation module to enhance the illumination map in the Retinex decomposed image, improving the overall image brightness.
no code implementations • 5 Jun 2022 • Jiarong Ye, Yin-Ting Yeh, Yuan Xue, Ziyang Wang, Na Zhang, He Liu, Kunyan Zhang, RyeAnne Ricker, Zhuohang Yu, Allison Roder, Nestor Perea Lopez, Lindsey Organtini, Wallace Greene, Susan Hafenstein, Huaguang Lu, Elodie Ghedin, Mauricio Terrones, Shengxi Huang, Sharon Xiaolei Huang
We present such a machine learning approach for analyzing Raman spectra of human and avian viruses.
no code implementations • 25 Apr 2022 • Ge Wang, Li Tan, Ziliang Shang, He Liu
In recent years, rumors have had a devastating impact on society, making rumor detection a significant challenge.
no code implementations • 5 Jan 2022 • He Liu, Tao Wang, Yidong Li, Congyan Lang, Songhe Feng, Haibin Ling
Most previous learning-based graph matching algorithms solve the \textit{quadratic assignment problem} (QAP) by dropping one or more of the matching constraints and adopting a relaxed assignment solver to obtain sub-optimal correspondences.
no code implementations • 5 Jan 2022 • He Liu, Tao Wang, Congyan Lang, Songhe Feng, Yi Jin, Yidong Li
The experimental results on a synthetic dataset reveal that our method outperforms state-of-the-art baselines and achieves consistently high accuracy with the increment of the problem size.
2 code implementations • 1 Sep 2021 • He Liu, Tao Wang, Yidong Li, Congyan Lang, Yi Jin, Haibin Ling
In this paper, we propose a joint \emph{graph learning and matching} network, named GLAM, to explore reliable graph structures for boosting graph matching.
1 code implementation • NAACL 2021 • Yuhao Feng, Yanghui Rao, Yuyao Tang, Ninghua Wang, He Liu
Many recent works on ABSA focus on Target-oriented Opinion Words (or Terms) Extraction (TOWE), which aims at extracting the corresponding opinion words for a given opinion target.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +3
no code implementations • 30 Apr 2021 • Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu
Multi-Label Image Classification (MLIC) aims to predict a set of labels that present in an image.
no code implementations • 22 Jan 2021 • Ni Zhan, Yijia Sun, Aman Jakhar, He Liu
We examine a variety of graphical models to construct optimal portfolios.