7 citations · 27 across the 10 of their papers we have counts for
11 papers
Using Lower-Bound Representations for Trajectory Similarity Learning
Liwei Deng, Haotian Meng, Yupu Zhang +4
Trajectory similarity learning is fundamental to efficient trajectory retrieval under complex distance measures. Existing learning-based methods typically rely on embeddings traine…
Energy-Efficient Autonomous Driving with Adaptive Perception and Robust Decision
Yuyang Xia, Zibo Liang, Liwei Deng +3
Autonomous driving is an emerging technology that is expected to bring significant social, economic, and environmental benefits. However, these benefits come with rising energy con…
Preventing the Popular Item Embedding Based Attack in Federated Recommendations
Jun Zhang, Huan Li, Dazhong Rong +3
Privacy concerns have led to the rise of federated recommender systems (FRS), which can create personalized models across distributed clients. However, FRS is vulnerable to poisoni…
MILLION: A General Multi-Objective Framework with Controllable Risk for Portfolio Management
Liwei Deng, Tianfu Wang, Yan Zhao +1
Portfolio management is an important yet challenging task in AI for FinTech, which aims to allocate investors' budgets among different assets to balance the risk and return of an i…
Efficient Data-aware Distance Comparison Operations for High-Dimensional Approximate Nearest Neighbor Search
Liwei Deng, Penghao Chen, Ximu Zeng +3
High-dimensional approximate nearest neighbor search (AKNN) is a fundamental task for various applications, including information retrieval. Most existing algorithms for AKNN c…
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
Hao Miao, Yan Zhao, Chenjuan Guo +5
The widespread deployment of wireless and mobile devices results in a proliferation of spatio-temporal data that is used in applications, e.g., traffic prediction, human mobility m…
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis
Yan Zhao, Liwei Deng, Xuanhao Chen +7
The continued digitization of societal processes translates into a proliferation of time series data that cover applications such as fraud detection, intrusion detection, and energ…
Uncertainty Quantification for Traffic Forecasting: A Unified Approach
Weizhu Qian, Dalin Zhang, Yan Zhao +2
Uncertainty is an essential consideration for time series forecasting tasks. In this work, we specifically focus on quantifying the uncertainty of traffic forecasting. To achieve t…
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection---Extended Version
Tung Kieu, Bin Yang, Chenjuan Guo +4
Time series data occurs widely, and outlier detection is a fundamental problem in data mining, which has numerous applications. Existing autoencoder-based approaches deliver state-…
Influence-aware Task Assignment in Spatial Crowdsourcing (Technical Report)
Xuanhao Chen, Yan Zhao, Kai Zheng +2
With the widespread diffusion of smartphones, Spatial Crowdsourcing (SC), which aims to assign spatial tasks to mobile workers, has drawn increasing attention in both academia and…
HIFI: Anomaly Detection for Multivariate Time Series with High-order Feature Interactions
Liwei Deng, Xuanhao Chen, Yan Zhao +1
Monitoring complex systems results in massive multivariate time series data, and anomaly detection of these data is very important to maintain the normal operation of the systems.…