Hang Zhang

Orcid: 0000-0003-2514-0811

Affiliations:
  • National University of Defense Technology, Key Laboratory of Information System Engineering, Changsha, China


According to our database1, Hang Zhang authored at least 13 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Thinking Bidirectionally: A Reasoning and Self-Correction Approach for Text-Based Event Prediction with Large Language Models.
Proceedings of the ACM Web Conference 2026, 2026

2024
Confidence-based and sample-reweighted test-time adaptation.
Knowl. Based Syst., January, 2024

2023
CSAL: Cost sensitive active learning for multi-source drifting stream.
Knowl. Based Syst., October, 2023

Multiclass imbalanced and concept drift network traffic classification framework based on online active learning.
Eng. Appl. Artif. Intell., 2023

2022
Datasets and source codes for OALEnsemble.
Dataset, May, 2022

Reinforcement Online Active Learning Ensemble for Drifting Imbalanced Data Streams.
IEEE Trans. Knowl. Data Eng., 2022

2021
A comprehensive active learning method for multiclass imbalanced data streams with concept drift.
Knowl. Based Syst., 2021

Detection of Anomaly User Behaviors Based on Deep Neural Networks.
Proceedings of the 20th IEEE International Conference on Trust, 2021

2019
Online Active Learning Ensemble Framework for Drifted Data Streams.
IEEE Trans. Neural Networks Learn. Syst., 2019

Online Learning Method for Drift and Imbalance Problem in Client Credit Assessment.
Symmetry, 2019

Resample-Based Ensemble Framework for Drifting Imbalanced Data Streams.
IEEE Access, 2019

An Air Quality Grade Forecasting Approach Based on Ensemble Learning.
Proceedings of the International Conference on Artificial Intelligence and Advanced Manufacturing, 2019

2018
Online Active Learning Paired Ensemble for Concept Drift and Class Imbalance.
IEEE Access, 2018


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