Jianheng Tang
Orcid: 0000-0002-4762-5943Affiliations:
- Peking University, School of Computer Science, Beijing, China
- Central South University, School of Computer Science and Engineering, Changsha, China
According to our database1,
Jianheng Tang
authored at least 17 papers
between 2023 and 2025.
Collaborative distances:
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Bibliography
2025
CPDZ: A Credibility-Aware and Privacy-Preserving Data Collection Scheme With Zero-Trust in Next-Generation Crowdsensing Networks.
IEEE J. Sel. Areas Commun., June, 2025
CALM: A Ubiquitous Crowdsourced Analytic Learning Mechanism for Continual Service Construction with Data Privacy Preservation.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., June, 2025
AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data.
CoRR, May, 2025
ACU: Analytic Continual Unlearning for Efficient and Exact Forgetting with Privacy Preservation.
CoRR, May, 2025
Can LLMs handle WebShell detection? Overcoming Detection Challenges with Behavioral Function-Aware Framework.
CoRR, April, 2025
A Quality-Aware and Obfuscation-Based Data Collection Scheme for Cyber-Physical Metaverse Systems.
ACM Trans. Multim. Comput. Commun. Appl., February, 2025
QLP-DCS: A Quality-Aware, Low-Cost, and Privacy-Preserving Data Collection Service for Mobile Crowd Sensing.
IEEE Trans. Serv. Comput., 2025
RMDF-CV: A Reliable Multi-Source Data Fusion Scheme With Cross Validation for Quality Service Construction in Mobile Crowd Sensing.
IEEE Trans. Serv. Comput., 2025
2024
CRL-MABA: A Completion Rate Learning-Based Accurate Data Collection Scheme in Large-Scale Energy Internet.
IEEE Internet Things J., July, 2024
BTV-CMAB: A Bi-Directional Trust Verification-Based Combinatorial Multiarmed Bandit Scheme for Mobile Crowdsourcing.
IEEE Internet Things J., January, 2024
Q-BLPP: A Quality-Enabled Bilateral Location Privacy-Preserving Service Construction Scheme in Mobile Crowd Sensing.
IEEE Trans. Serv. Comput., 2024
MAB-RP: A Multi-Armed Bandit based workers selection scheme for accurate data collection in crowdsensing.
Inf. Sci., 2024
SegACIL: Solving the Stability-Plasticity Dilemma in Class-Incremental Semantic Segmentation.
CoRR, 2024
TS-ACL: A Time Series Analytic Continual Learning Framework for Privacy-Preserving and Class-Incremental Pattern Recognition.
CoRR, 2024
2023
Credit and quality intelligent learning based multi-armed bandit scheme for unknown worker selection in multimedia MCS.
Inf. Sci., November, 2023
DLFTI: A deep learning based fast truth inference mechanism for distributed spatiotemporal data in mobile crowd sensing.
Inf. Sci., October, 2023
A Semi-supervised Sensing Rate Learning based CMAB scheme to combat COVID-19 by trustful data collection in the crowd.
Comput. Commun., 2023