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 30 papers
between 2023 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
PCQ-SP: A Privacy-Preserving, Cost-Aware, and Quality-Enabled Service Planning Scheme for Multi-Task Spatial Crowdsourcing.
IEEE Trans. Mob. Comput., May, 2026
Q-DBPP: A Quality-Aware Dual-Bilateral Privacy Preserving Scheme in Mobile Crowd Sensing.
IEEE Trans. Mob. Comput., April, 2026
COOL: A Cloud-Fog Federated Learning System With Multimodal Isolated Client Data in Edge Networks.
IEEE Trans. Mob. Comput., April, 2026
Well Begun is Half Done: Training-Free and Model-Agnostic Semantically Guaranteed User Representation Initialization for Multimodal Recommendation.
CoRR, April, 2026
CAMMSR: Category-Guided Attentive Mixture of Experts for Multimodal Sequential Recommendation.
CoRR, March, 2026
PUWR-TSSG: A CMAB-based post-unknown worker recruitment scheme for Three-Stage Stackelberg Games in Mobile Crowd Sensing.
Inf. Sci., 2026
STPWR: A Spatiotemporal Prediction-based Worker Pre-Recruitment Framework for Mobile Crowd Sensing.
Proceedings of the ACM Web Conference 2026, 2026
FilDeep: Learning Large Deformations of Elastic-Plastic Solids with Multi-Fidelity Data.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026
2025
CoRR, August, 2025
FedHiP: Heterogeneity-Invariant Personalized Federated Learning Through Closed-Form Solutions.
CoRR, August, 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
CFSSeg: Closed-Form Solution for Class-Incremental Semantic Segmentation of 2D Images and 3D Point Clouds.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Learning New Concepts, Remembering the Old: Continual Learning for Multimodal Concept Bottleneck Models.
Proceedings of the 33rd ACM International Conference on Multimedia, 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