no code implementations • 5 Aug 2023 • Menglong Lu, Zhen Huang, Yunxiang Zhao, Zhiliang Tian, Yang Liu, Dongsheng Li
To this end, we employ domain adversarial learning as a heuristic neural network initialization method, which can help the meta-learning module converge to a better optimal.
no code implementations • 4 Aug 2023 • Menglong Lu, Zhen Huang, Zhiliang Tian, Yunxiang Zhao, Xuanyu Fei, Dongsheng Li
Theoretically, we prove the convergence of the meta-learning algorithm in MTEM and analyze the effectiveness of MTEM in achieving domain adaptation.
1 code implementation • 28 Jun 2022 • Yixin Su, Yunxiang Zhao, Sarah Erfani, Junhao Gan, Rui Zhang
Detecting beneficial feature interactions is essential in recommender systems, and existing approaches achieve this by examining all the possible feature interactions.
1 code implementation • 4 May 2021 • Yunsheng Pang, Yunxiang Zhao, Dongsheng Li
Graph pooling that summaries the information in a large graph into a compact form is essential in hierarchical graph representation learning.
2 code implementations • 29 Apr 2021 • Yunxiang Zhao, Jianzhong Qi, Qingwei Liu, Rui Zhang
Based on nodes' geometrical relationships in the latent space, WGCN differentiates latent, in-, and out-neighbors with an attention-based geometrical aggregation.
no code implementations • 25 Jan 2021 • Yunxiang Zhao, Qiuhong Ke, Flip Korn, Jianzhong Qi, Rui Zhang
Experimental results show that compared with the state-of-the-art models, which imitate hexagonal processing but using rectangle-shaped filters, HexCNN reduces the training time by up to 42. 2%.
no code implementations • 25 Apr 2019 • Yunxiang Zhao, Jianzhong Qi, Rui Zhang
CBHE first obtains building corner and roofline candidates in street scene images based on building footprints from 2D maps and the camera parameters.