Shaoyu Dou

According to our database, Shaoyu Dou authored at least 13 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

AsynDBT: Asynchronous Distributed Bilevel Tuning for efficient In-Context Learning with Large Language Models.

Hui Ma, Shaoyu Dou, Ya Liu, Fei Xing, Li Feng, Feng Pi

CoRR, February, 2026

Sim-MSTNet: sim2real based Multi-task SpatioTemporal Network Traffic Forecasting.

Hui Ma, Qingzhong Li, Jin Wang, Jie Wu, Shaoyu Dou, Li Feng, Xinjun Pei

CoRR, January, 2026

2025

Evaluating Scoring Bias in LLM-as-a-Judge.

Qingquan Li, Shaoyu Dou, Kailai Shao, Chao Chen, Haixiang Hu

CoRR, June, 2025

Anomaly Detection in Event-Triggered Traffic Time Series via Similarity Learning.

Shaoyu Dou, Kai Yang, Yang Jiao, Chengbo Qiu, Kui Ren

IEEE Trans. Dependable Secur. Comput., 2025

2022

Robust Group Anomaly Detection for Quasi-Periodic Network Time Series.

Kai Yang, Shaoyu Dou, Pan Luo, Xin Wang, H. Vincent Poor

IEEE Trans. Netw. Sci. Eng., 2022

Multi-Level Association Rule Mining for Wireless Network Time Series Data.

Chen Zhu, Chengbo Qiu, Shaoyu Dou, Minghao Liao

CoRR, 2022

CPMLHO: Hyperparameter Tuning via Cutting Plane and Mixed-Level Optimization.

Shuo Yang, Yang Jiao, Shaoyu Dou, Mana Zheng, Chen Zhu

CoRR, 2022

Task-aware Similarity Learning for Event-triggered Time Series.

Shaoyu Dou, Kai Yang, Yang Jiao, Chengbo Qiu, Kui Ren

CoRR, 2022

2020

Fog Intelligence for Network Anomaly Detection.

Kai Yang, Hui Ma, Shaoyu Dou

IEEE Netw., 2020

TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series.

Yang Jiao, Kai Yang, Shaoyu Dou, Pan Luo, Sijia Liu, Dongjin Song

CoRR, 2020

2019

PC²A: Predicting Collective Contextual Anomalies via LSTM With Deep Generative Model.

Shaoyu Dou, Kai Yang, H. Vincent Poor

IEEE Internet Things J., 2019

2017

Study on Technologies for Applications in Tactile Internet.

Yixin Zhang, Shaoyu Dou, Xin Su

Proceedings of the Intelligent Environments 2017, 2017

A Study of Interference Cancellation for NOMA Downlink Near-Far Effect to Support Big Data.

Shaoyu Dou, Xin Su, Dongmin Choi, Pankoo Kim, Chang Choi

Proceedings of the Green, Pervasive, and Cloud Computing - 12th International Conference, 2017