no code implementations • 13 Mar 2024 • YuTing Liu, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang
Recently, sign-aware graph recommendation has drawn much attention as it will learn users' negative preferences besides positive ones from both positive and negative interactions (i. e., links in a graph) with items.
no code implementations • 11 Mar 2024 • Yizhou Dang, YuTing Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao
Specifically, we use the original interaction sequences as the padding content and fill it to the padding positions during model training.
no code implementations • 18 Feb 2024 • Jinghao Zhang, YuTing Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang
Recently, the powerful large language models (LLMs) have been instrumental in propelling the progress of recommender systems (RS).
no code implementations • 10 Nov 2023 • YuTing Liu, Enneng Yang, Yizhou Dang, Guibing Guo, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang
In this paper, we revisit the value of ID embeddings for multimodal recommendation and conduct a thorough study regarding its semantics, which we recognize as subtle features of content and structures.
no code implementations • 26 Aug 2023 • Zichen Yuan, Qi Shen, Bingyi Zheng, YuTing Liu, Linying Jiang, Guibing Guo
Cross-modal retrieval has become popular in recent years, particularly with the rise of multimedia.
no code implementations • 5 Jun 2023 • YuTing Liu, Hong Gu, Pan Qin
To this end, we propose a method to improve the verification performance for SVMs with nonlinear kernels.
1 code implementation • CVPR 2022 • Dan Zeng, Zhiyuan Lin, Xiao Yan, YuTing Liu, Fei Wang, Bo Tang
To combat the mismatch between FR and FER data, Meta-Face2Exp uses a circuit feedback mechanism, which improves the base network with the feedback from the adaptation network.
2 code implementations • ICLR 2022 • Chongchong Li, Yue Wang, Wei Chen, YuTing Liu, Zhi-Ming Ma, Tie-Yan Liu
Then we proposed a two-model-based learning method to control the prediction error and the gradient error.
1 code implementation • 7 Apr 2021 • Shuiwang Li, YuTing Liu, Qijun Zhao, Ziliang Feng
Unmanned aerial vehicle (UAV)-based tracking is attracting increasing attention and developing rapidly in applications such as agriculture, aviation, navigation, transportation and public security.
no code implementations • 24 Feb 2021 • Shuaibo Geng, Shuo Cao, YuTing Liu, Tonghua Liu, Marek Biesiada, Yujie Lian
The redshift distribution of galactic-scale lensing systems provides a laboratory to probe the velocity dispersion function (VDF) of early-type galaxies (ETGs) and measure the evolution of early-type galaxies at redshift z ~ 1.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics
no code implementations • 9 Sep 2020 • Sixuan Zhang, Shuo Cao, Jia Zhang, Tonghua Liu, YuTing Liu, Shuaibo Geng, Yujie Lian
In this paper, we investigate the expected constraints on the Hubble constant from the gravitational-wave standard sirens, in a cosmological-model-independent way.
Cosmology and Nongalactic Astrophysics
no code implementations • 12 Aug 2020 • Yuting Liu, Zheng Wang, Miaojing Shi, Shin'ichi Satoh, Qijun Zhao, Hongyu Yang
We formulate the mutual transformations between the outputs of regression- and detection-based models as two scene-agnostic transformers which enable knowledge distillation between the two models.
no code implementations • 25 Sep 2019 • Yue Wang, Qi Meng, Wei Chen, YuTing Liu, Zhi-Ming Ma, Tie-Yan Liu
Optimization algorithms like stochastic gradient descent that optimize the neural networks in the vector space of weights, which are not positively scale-invariant.
no code implementations • CVPR 2019 • Yuting Liu, Miaojing Shi, Qijun Zhao, Xiaofang Wang
In the end, we propose a curriculum learning strategy to train the network from images of relatively accurate and easy pseudo ground truth first.