Shengjie Zhao
Biographic Data
| ID | 8335434 |
|---|---|
| NAME | Shengjie Zhao |
| GIVEN NAMES | Shengjie |
| FAMILY NAME | Zhao |
| SIGNATURE | ZHAO S |
| AFFILIATIONS | Tongji University |
| ORCID | 0000-0003-0187-2049 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Improving Hate Speech Detection via Robust Knowledge Distillation
Hate speech proliferating on social media disrupts the harmony of the Internet, making its detection a challenging task in natural language processing. Despite the recent advances in hate speech detection based on pre-trained language models (PLMs), their large parameter scale limits their applicability on resource-constrained devices, and the substantial noise and data imbalance in online speech severely weaken the model’s ability to extract val…
Dual Narrative Progression and Metaphors for Noise in Julian Barnes’s The Noise of Time
In The Noise of Time , Julian Barnes once again turns to the writing of biography after Arthur & George (2005), and this time he experiments by tactfully setting dual narrative progression which is the combination of the overt plot and the covert progression. Also, the word “noise” in the title The Noise of Time has double metaphorical meanings, which correspond to the theme and characterization in the dual narrative progression. So, the present …
The Hierarchical Clustering of Human Mobility Behaviors
Human mobility flow prediction forecasts the number of passengers coming into (inflows) or leaving from (outflows) every region of a city. It is crucial for many applications such as mobile marketing or route optimization. People have proposed deep learning methods to predict human mobility flows. However, existing methods neglect the hierarchical nature of human mobility behaviors. Each of us is unique, and we live beyond our neighborhoods. In t…
TriKF
Questioning is one of the essential tactics for demonstrating empathy in social dialogues. Effective questioning can guide individuals to express their experiences, feelings, and thoughts, aiming to establish emotional connections and deepen interpersonal understanding. However, how to generate empathetic questions in emotional support conversations remains an unresolved issue. To fill this research gap to some extent, we propose an empathetic qu…
No prominent works on this page.
Dual Narrative Progression and Metaphors for Noise in Julian Barnes’s The Noise of Time
In The Noise of Time , Julian Barnes once again turns to the writing of biography after Arthur & George (2005), and this time he experiments by tactfully setting dual narrative progression which is the combination of the overt plot and the covert progression. Also, the word “noise” in the title The Noise of Time has double metaphorical meanings, which correspond to the theme and characterization in the dual narrative progression. So, the present …
The Hierarchical Clustering of Human Mobility Behaviors
Human mobility flow prediction forecasts the number of passengers coming into (inflows) or leaving from (outflows) every region of a city. It is crucial for many applications such as mobile marketing or route optimization. People have proposed deep learning methods to predict human mobility flows. However, existing methods neglect the hierarchical nature of human mobility behaviors. Each of us is unique, and we live beyond our neighborhoods. In t…
TriKF
Questioning is one of the essential tactics for demonstrating empathy in social dialogues. Effective questioning can guide individuals to express their experiences, feelings, and thoughts, aiming to establish emotional connections and deepen interpersonal understanding. However, how to generate empathetic questions in emotional support conversations remains an unresolved issue. To fill this research gap to some extent, we propose an empathetic qu…
Improving Hate Speech Detection via Robust Knowledge Distillation
Hate speech proliferating on social media disrupts the harmony of the Internet, making its detection a challenging task in natural language processing. Despite the recent advances in hate speech detection based on pre-trained language models (PLMs), their large parameter scale limits their applicability on resource-constrained devices, and the substantial noise and data imbalance in online speech severely weaken the model’s ability to extract val…
Computer Science (3 works) · Artificial Intelligence (2 works) · Ampere (1 work) · Art (1 work) · Autoregressive integrated moving average (1 work) · Cluster analysis (1 work) · Contemporary Literature and Criticism (1 work) · Crime and Detective Fiction Studies (1 work) · Data mining (1 work) · Deep learning (1 work)