484 citations · 756 across the 10 of their papers we have counts for
10 papers
Interest-oriented Universal User Representation via Contrastive Learning
Qinghui Sun, Jie Gu, Bei Yang +5
User representation is essential for providing high-quality commercial services in industry. Universal user representation has received many interests recently, with which we can b…
RGB Image Classification with Quantum Convolutional Ansaetze
Yu Jing, Xiaogang Li, Yang Yang +5
With the rapid growth of qubit numbers and coherence times in quantum hardware technology, implementing shallow neural networks on the so-called Noisy Intermediate-Scale Quantum (N…
Multi-Agent Coverage in Urban Environments
Shivang Patel, Senthil Hariharan, Pranav Dhulipala +4
We study multi-agent coverage algorithms for autonomous monitoring and patrol in urban environments. We consider scenarios in which a team of flying agents uses downward facing cam…
Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective
Yifei Zhao, Yu-Hang Zhou, Mingdong Ou +2
To maximize cumulative user engagement (e.g. cumulative clicks) in sequential recommendation, it is often needed to tradeoff two potentially conflicting objectives, that is, pursui…
Time Series Data Augmentation for Deep Learning: A Survey
Qingsong Wen, Liang Sun, Fan Yang +4
Deep learning performs remarkably well on many time series analysis tasks recently. The superior performance of deep neural networks relies heavily on a large number of training da…
RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks
Jingkun Gao, Xiaomin Song, Qingsong Wen +3
The monitoring and management of numerous and diverse time series data at Alibaba Group calls for an effective and scalable time series anomaly detection service. In this paper, we…
RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicity Detection
Qingsong Wen, Kai He, Liang Sun +3
Periodicity detection is a crucial step in time series tasks, including monitoring and forecasting of metrics in many areas, such as IoT applications and self-driving database mana…
A Unified Framework for Marketing Budget Allocation
Kui Zhao, Junhao Hua, Ling Yan +3
While marketing budget allocation has been studied for decades in traditional business, nowadays online business brings much more challenges due to the dynamic environment and comp…
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series
Qingsong Wen, Jingkun Gao, Xiaomin Song +3
Decomposing complex time series into trend, seasonality, and remainder components is an important task to facilitate time series anomaly detection and forecasting. Although numerou…
A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring
Chong Zhang, Geok Soon Hong, Jun-Hong Zhou +5
In this paper, a multi-state diagnosis and prognosis (MDP) framework is proposed for tool condition monitoring via a deep belief network based multi-state approach (DBNMS). For fau…