no code implementations • 8 Mar 2024 • Lixu Wang, Xinyu Du, Qi Zhu
Cutting-edge studies focus on achieving unsupervised CDR but typically assume that the category spaces across domains are identical, an assumption that is often unrealistic in real-world scenarios.
no code implementations • 20 Jan 2024 • Lixu Wang, Shichao Xu, Xinyu Du, Qi Zhu
Anomaly detection in time-series data is crucial for identifying faults, failures, threats, and outliers across a range of applications.
1 code implementation • 7 May 2023 • Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou
Sequential recommendation (SR) aims to model user preferences by capturing behavior patterns from their item historical interaction data.
1 code implementation • 18 Apr 2023 • Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Victor S. Sheng
However, many recent studies represent that current self-attention based models are low-pass filters and are inadequate to capture high-frequency information.
no code implementations • 30 Mar 2023 • Binbin Li, Xinyu Du, Yao Hu, Hao Yu, Wende Zhang
Online camera-to-ground calibration is to generate a non-rigid body transformation between the camera and the road surface in a real-time manner.