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07/20/2023
Refining the Optimization Target for Automatic Univariate Time Series Anomaly Detection in Monitoring Services
Time series anomaly detection is crucial for industrial monitoring servi...
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12/16/2022
Decoder Tuning: Efficient Language Understanding as Decoding
With the evergrowing sizes of pre-trained models (PTMs), it has been an ...
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10/19/2022
Quick Graph Conversion for Robust Recommendation
Implicit feedback plays a huge role in recommender systems, but its high...
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10/01/2022
Federated Generalized Linear Mixed Models for Collaborative Genome-wide Association Studies
As the sequencing costs are decreasing, there is great incentive to perf...
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06/03/2022
Approximate confidence distribution computing
Approximate confidence distribution computing (ACDC) offers a new take o...
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03/10/2022
Facilitating Federated Genomic Data Analysis by Identifying Record Correlations while Ensuring Privacy
With the reduction of sequencing costs and the pervasiveness of computin...
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01/24/2022
An Effective Iterated Two-stage Heuristic Algorithm for the Multiple Traveling Salesmen Problem
The multiple Traveling Salesmen Problem mTSP is a general extension of t...
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09/28/2021
Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources
Objectives: This paper develops two algorithms to achieve federated gene...
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08/20/2020
Energy Minimization for Mobile Edge Computing Networks with Time-Sensitive Constraints
Mobile edge computing (MEC) provides users with a high quality experienc...
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07/30/2019