Tianjing Wang
Biographic Data
| ID | 10054299 |
|---|---|
| NAME | Tianjing Wang |
| GIVEN NAMES | Tianjing |
| FAMILY NAME | Wang |
| SIGNATURE | WANG T |
| AFFILIATIONS | Nanjing Tech University |
| ORCID | 0000-0002-6152-4292 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
LLM-Augmented Contrastive Learning for Misinformation Detection in Social Networks
Task Partitioning and Scheduling Based on Stochastic Policy Gradient in Mobile Crowdsensing
Deep reinforcement learning (DRL) has become prevalent for decision-making task assignments in mobile crowdsensing (MCS). However, when facing sensing scenarios with varying numbers of workers or task attributes, existing DRL-based task assignment schemes fail to generate matching policies continuously and are susceptible to environmental fluctuations. To overcome these issues, a twin-delayed deep stochastic policy gradient (TDDS) approach is pre…
Assessment of Cuscuta chinensis seeds׳ effect on melanogenesis
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Assessment of Cuscuta chinensis seeds׳ effect on melanogenesis
Task Partitioning and Scheduling Based on Stochastic Policy Gradient in Mobile Crowdsensing
Deep reinforcement learning (DRL) has become prevalent for decision-making task assignments in mobile crowdsensing (MCS). However, when facing sensing scenarios with varying numbers of workers or task attributes, existing DRL-based task assignment schemes fail to generate matching policies continuously and are susceptible to environmental fluctuations. To overcome these issues, a twin-delayed deep stochastic policy gradient (TDDS) approach is pre…
LLM-Augmented Contrastive Learning for Misinformation Detection in Social Networks
Biochemistry (1 work) · Biological activity (1 work) · Biology (1 work) · Biotechnology (1 work) · Botany (1 work) · Chemistry (1 work) · Computer Science (1 work) · Computer security (1 work) · Contrastive analysis (1 work) · Convolvulaceae (1 work)