no code implementations • COLING 2022 • Yao Dong, Lei Wang, Ji Xiang, Xiaobo Guo, Yuqiang Xie
Knowledge graph embedding, which aims to learn representations of entities and relations in knowledge graphs, finds applications in various downstream tasks.
no code implementations • 16 Feb 2024 • Xiaobo Guo, Soroush Vosoughi
Aspect-based summarization has seen significant advancements, especially in structured text.
no code implementations • 12 Feb 2023 • Wujiang Xu, Shaoshuai Li, Mingming Ha, Xiaobo Guo, Qiongxu Ma, Xiaolei Liu, Linxun Chen, Zhenfeng Zhu
To tackle the aforementioned issues, we propose a simple-yet-effective neural node matching based framework for more general CDR settings, i. e., only (few) partially overlapped users exist across domains and most overlapped as well as non-overlapped users do have sparse interactions.
no code implementations • 7 Feb 2023 • Xiaobo Guo, Weicheng Ma, Soroush Vosoughi
Differential framing of issues can lead to divergent world views on important issues.
no code implementations • 6 Jan 2023 • Xuewen Tao, Mingming Ha, Xiaobo Guo, Qiongxu Ma, Hongwei Cheng, Wenfang Lin
The general idea of multi-task learning is designing kinds of global parameter sharing mechanism and task-specific feature extractor to improve the performance of all tasks.
no code implementations • 30 Nov 2022 • Ying Chen, Siwei Qiang, Mingming Ha, Xiaolei Liu, Shaoshuai Li, Lingfeng Yuan, Xiaobo Guo, Zhenfeng Zhu
Differing from homogeneous graph, DA in heterogeneous graph has greater challenges: heterogeneity of information requires DA strategies to effectively handle heterogeneous relations, which considers the information contribution of different types of neighbors and edges to the target nodes.
1 code implementation • 15 Nov 2022 • Youru Li, Zhenfeng Zhu, Xiaobo Guo, Shaoshuai Li, Yuchen Yang, Yao Zhao
Moreover, the hierarchical representations at both instance level and channel level can be coordinated by the heterogeneous information aggregation under the guidance of global view.
1 code implementation • 19 Sep 2022 • Zongyu Li, Xiaobo Guo, Siwei Qiang
The notion of causality assumes a paramount position within the realm of human cognition.
1 code implementation • CVPR 2022 • Sheng Guo, Zihua Xiong, Yujie Zhong, LiMin Wang, Xiaobo Guo, Bing Han, Weilin Huang
In this paper, we present a new cross-architecture contrastive learning (CACL) framework for self-supervised video representation learning.
no code implementations • 16 May 2022 • Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Kaixin Gao, Bing Han, Lin Zheng, Xiaobo Guo
In this paper, we propose a Poincar\'{e}-based heterogeneous graph neural network named PHGR to model the sequential pattern information as well as hierarchical information contained in the data of SR scenarios simultaneously.
1 code implementation • 18 Apr 2022 • Wujiang Xu, Runzhong Wang, Xiaobo Guo, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Sheng Guo, Zhenfeng Zhu, Junchi Yan
However, the optimal video summaries need to reflect the most valuable keyframe with its own information, and one with semantic power of the whole content.
no code implementations • 24 Jan 2022 • Xiaobo Guo, Yaojia Sun, Soroush Vosoughi
Our proposed model is different from other work in this area in that our model is based entirely on the emotional states, and the transition between these states of users on Reddit, whereas prior work is typically based on content-based representations (e. g., n-grams, language model embeddings, etc).
no code implementations • 6 Jul 2021 • Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Bing Han, Lin Zheng, Kaixin Gao, Xiaobo Guo
Session-based recommendation (SBR) learns users' preferences by capturing the short-term and sequential patterns from the evolution of user behaviors.
no code implementations • 27 Jan 2021 • Jing Liang, Xiaobo Guo, Benrong Mu
Recently, a new assumption was proposed in [Phys.
General Relativity and Quantum Cosmology
no code implementations • 24 Dec 2020 • Xiaobo Guo, Soroush Vosoughi
The prevalence of state-sponsored propaganda on the Internet has become a cause for concern in the recent years.