no code implementations • 17 Apr 2024 • Kang Wang, Zhishu Shen, Zhen Lei, Tiehua Zhang
Traffic signal control systems (TSCSs) are integral to intelligent traffic management, fostering efficient vehicle flow.
no code implementations • 5 Sep 2023 • Yuze Liu, Ziming Zhao, Tiehua Zhang, Kang Wang, Xin Chen, Xiaowei Huang, Jun Yin, Zhishu Shen
Sleep stage classification is crucial for detecting patients' health conditions.
no code implementations • 7 Jul 2023 • Tiehua Zhang, Yuze Liu, Zhishu Shen, Xingjun Ma, Xin Chen, Xiaowei Huang, Jun Yin, Jiong Jin
Graph neural network (GNN) has gained increasing popularity in recent years owing to its capability and flexibility in modeling complex graph structure data.
no code implementations • 2 Jun 2023 • Tiehua Zhang, Rui Xu, Jianping Zhang, Yuzhe Tian, Xin Chen, Xiaowei Huang, Jun Yin, Xi Zheng
Vulnerability detection is a critical problem in software security and attracts growing attention both from academia and industry.
no code implementations • 13 Feb 2023 • Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang
In recommendation scenarios, there are two long-standing challenges, i. e., selection bias and data sparsity, which lead to a significant drop in prediction accuracy for both Click-Through Rate (CTR) and post-click Conversion Rate (CVR) tasks.
1 code implementation • 31 Oct 2022 • Tiehua Zhang, Yuze Liu, Yao Yao, Youhua Xia, Xin Chen, Xiaowei Huang, Jiong Jin
Heterogeneous graph neural network has unleashed great potential on graph representation learning and shown superior performance on downstream tasks such as node classification and clustering.
no code implementations • 7 Jun 2022 • Tiehua Zhang, Yuze Liu, Zhishu Shen, Rui Xu, Xin Chen, Xiaowei Huang, Xi Zheng
Spatial-temporal data contains rich information and has been widely studied in recent years due to the rapid development of relevant applications in many fields.
no code implementations • 20 Jan 2022 • Rong Liang, Tiehua Zhang, Yujie Lu, Yuze Liu, Zhen Huang, Xin Chen
Specifically, we collect a sheer number of source codes (both Java and Python) from the Alipay code repository and incorporate both syntactic and semantic code knowledge into our model through the help of code parsers, in which AST information of the source codes can be interpreted and integrated.
no code implementations • 29 Dec 2021 • Tiehua Zhang, Yuze Liu, Xin Chen, Xiaowei Huang, Feng Zhu, Xi Zheng
Graph representation learning has drawn increasing attention in recent years, especially for learning the low dimensional embedding at both node and graph level for classification and recommendations tasks.
1 code implementation • 12 Nov 2021 • Guannan Lou, Yuze Liu, Tiehua Zhang, Xi Zheng
We present a spatial-temporal federated learning framework for graph neural networks, namely STFL.
no code implementations • 5 Apr 2021 • Yao Deng, Tiehua Zhang, Guannan Lou, Xi Zheng, Jiong Jin, Qing-Long Han
The rapid development of artificial intelligence, especially deep learning technology, has advanced autonomous driving systems (ADSs) by providing precise control decisions to counterpart almost any driving event, spanning from anti-fatigue safe driving to intelligent route planning.