no code implementations • 1 Jan 2021 • Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent W. Zheng, Tong Xu, Enhong Chen
Though many algorithms, such as AMSGRAD and ADAMNC, have been proposed to fix the non-convergence issues, achieving a data-dependent regret bound similar to or better than ADAGRAD is still a challenge to these methods.
no code implementations • 3 Jul 2020 • Dashan Gao, Ben Tan, Ce Ju, Vincent W. Zheng, Qiang Yang
Matrix Factorization has been very successful in practical recommendation applications and e-commerce.
1 code implementation • 11 Feb 2020 • Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song
In this paper, we study the fundamental problem of random walk for network embedding.
no code implementations • 30 May 2019 • Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu
When making cloth decisions, people usually show preferences for different semantic attributes (e. g., the clothes with v-neck collar).
Ranked #1 on Recommendation Systems on Amazon Fashion (nDCG@10 (500 Neg. Samples) metric, using extra training data)
1 code implementation • 28 May 2019 • Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang
An effective content recommendation in modern social media platforms should benefit both creators to bring genuine benefits to them and consumers to help them get really interesting content.
no code implementations • EMNLP 2017 • Wei Yang, Wei Lu, Vincent W. Zheng
Learning word embeddings has received a significant amount of attention recently.
no code implementations • 20 Jul 2018 • Jindong Wang, Vincent W. Zheng, Yiqiang Chen, Meiyu Huang
In this paper, we propose an effective Unsupervised Source Selection algorithm for Activity Recognition (USSAR).
Cross-Domain Activity Recognition Human Activity Recognition +1
1 code implementation • https://dl.acm.org/doi/10.1145/3161411 2018 • Bin Guo, Jing Li, Vincent W. Zheng, Zhu Wang, Zhiwen Yu
To solve the cold-start problem, we propose CityTransfer, which transfers chain store knowledge from semantically-relevant domains (e. g., other cities with rich knowledge, similar chain enterprises in the target city) for chain store placement recommendation in a new city.
1 code implementation • 28 Nov 2017 • Jia Wang, Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang
As a result, we introduce a new data model, namely diffusion topologies, to fully describe the cascade structure.
no code implementations • 22 Sep 2017 • Hongyun Cai, Vincent W. Zheng, Kevin Chen-Chuan Chang
Graph is an important data representation which appears in a wide diversity of real-world scenarios.
1 code implementation • 15 May 2017 • Hongyun Cai, Vincent W. Zheng, Kevin Chen-Chuan Chang
Graph embedding provides an efficient solution for graph analysis by converting the graph into a low-dimensional space which preserves the structure information.
no code implementations • 17 Jan 2017 • Hongyun Cai, Vincent W. Zheng, Fanwei Zhu, Kevin Chen-Chuan Chang, Zi Huang
Most existing community-related studies focus on detection, which aim to find the community membership for each user from user friendship links.
2 code implementations • 31 Oct 2016 • Vincent W. Zheng, Sandro Cavallari, Hongyun Cai, Kevin Chen-Chuan Chang, Erik Cambria
Most of the existing graph embedding methods focus on nodes, which aim to output a vector representation for each node in the graph such that two nodes being "close" on the graph are close too in the low-dimensional space.