Kexuan Zhang

Orcid: 0009-0007-4478-3720

According to our database1, Kexuan Zhang authored at least 12 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Improving Low-Resource Short Answer Scoring Through Large Language Model-Based Data Augmentation.
IEEE Trans. Knowl. Data Eng., May, 2026

Caformer: Rethinking Time-Series Forecasting From Causal Perspective.
IEEE Trans. Cybern., March, 2026

SAS-bench: A fine-grained benchmark for evaluating short answer scoring with large language models.
Neural Networks, 2026

2025
Probing the Limits of Compressive Memory: A Study of Infini-Attention in Small-Scale Pretraining.
CoRR, December, 2025

WebRenderBench: Enhancing Web Interface Generation through Layout-Style Consistency and Reinforcement Learning.
CoRR, October, 2025

DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting.
CoRR, April, 2025

Causal Learning for Heterogeneous Subgroups Based on Nonlinear Causal Kernel Clustering.
CoRR, January, 2025

ROPGMN: Effective ROP and variants discovery using dynamic feature and graph matching network.
Future Gener. Comput. Syst., 2025

ADSC: LLM-Augmented Dual-Stream Cooperative Learning for Robust Automated Essay Scoring.
Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

2024
Caformer: Rethinking Time Series Analysis from Causal Perspective.
CoRR, 2024

Causal Learning for Heterogeneous Subgroups Based on Nonlinear Causal Kernel Clustering.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Causal reasoning in typical computer vision tasks.
CoRR, 2023


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