no code implementations • 30 Jul 2024 • Yakun Wang, Daixin Wang, Hongrui Liu, Binbin Hu, Yingcui Yan, Qiyang Zhang, Zhiqiang Zhang
After knowing the weakness of link prediction, a natural question is how can we eliminate the negative effects of the skewed long-tailed distribution on common neighbors so as to improve the performance of link prediction?
1 code implementation • 25 Mar 2024 • Alireza Furutanpey, Qiyang Zhang, Philipp Raith, Tobias Pfandzelter, Shangguang Wang, Schahram Dustdar
Further, it embeds context and leverages inter-tile dependencies to lower transfer costs with negligible overhead.
1 code implementation • 16 Jan 2024 • Mengwei Xu, Wangsong Yin, Dongqi Cai, Rongjie Yi, Daliang Xu, QiPeng Wang, Bingyang Wu, Yihao Zhao, Chen Yang, Shihe Wang, Qiyang Zhang, Zhenyan Lu, Li Zhang, Shangguang Wang, Yuanchun Li, Yunxin Liu, Xin Jin, Xuanzhe Liu
Large foundation models, including large language models (LLMs), vision transformers (ViTs), diffusion, and LLM-based multimodal models, are revolutionizing the entire machine learning lifecycle, from training to deployment.
no code implementations • 8 Dec 2023 • Yakun Wang, Binbin Hu, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He
In particular, we elaborately devise a Meta-learning Supported Teacher-student GNN (MST-GNN) that is not only built upon teacher-student architecture for alleviating the migration between "easy" and "hard" samples but also equipped with a meta learning based sample re-weighting module for helping the student GNN distinguish "hard" samples in a fine-grained manner.
1 code implementation • 14 Feb 2022 • Qiyang Zhang, Xiang Li, Xiangying Che, Xiao Ma, Ao Zhou, Mengwei Xu, Shangguang Wang, Yun Ma, Xuanzhe Liu
Deploying deep learning (DL) on mobile devices has been a notable trend in recent years.
1 code implementation • 24 Oct 2021 • Akash Pallath, Qiyang Zhang
Handsearch is an important technique that contributes to thorough literature search in systematic reviews.
1 code implementation • 28 Dec 2019 • Zhibin Zhao, Qiyang Zhang, Xiaolei Yu, Chuang Sun, Shibin Wang, Ruqiang Yan, Xuefeng Chen
Besides, the newly collected test data in the target domain are usually unlabeled, leading to unsupervised deep transfer learning based (UDTL-based) IFD problem.
no code implementations • 19 Jun 2019 • Jing Cheng, Haifeng Wang, Yanjie Zhu, Qiegen Liu, Qiyang Zhang, Ting Su, Jianwei Chen, Yongshuai Ge, Zhanli Hu, Xin Liu, Hairong Zheng, Leslie Ying, Dong Liang
Usually, acquiring less data is a direct but important strategy to address these issues.