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Kexuan Zhang
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2020 – today
- 2026
- [j4]Peichao Lai
, Kexuan Zhang
SAS-bench: A fine-grained benchmark for evaluating short answer scoring with large language models. Neural Networks 203: 109199 (2026) - [j3]Kexuan Zhang
Caformer: Rethinking Time-Series Forecasting From Causal Perspective. IEEE Trans. Cybern. 56(3): 1611-1624 (2026) - [j2]Peichao Lai
Improving Low-Resource Short Answer Scoring Through Large Language Model-Based Data Augmentation. IEEE Trans. Knowl. Data Eng. 38(5): 2914-2926 (2026) - [i9]Kexuan Zhang, Xiaobei Zou, Cesare Alippi, Gary G. Yen, Yang Tang:
Causal Semantic Alignment for LLM-based Time Series Forecasting. CoRR abs/2606.08262 (2026) - [i8]Yilei Wang, Jiaxin Gan, Kexuan Zhang, Ling Li, Wentao Zhang, Peichao Lai:
DIRECT: Direct Decoding for Efficient and Aligned Sequence Labeling with Large Language Models. CoRR abs/2607.26891 (2026) - 2025
- [j1]Weina Niu, Kexuan Zhang, Ran Yan, Jie Li, Yan Zhang, Xiaosong Zhang:
ROPGMN: Effective ROP and variants discovery using dynamic feature and graph matching network. Future Gener. Comput. Syst. 164: 107567 (2025) - [c2]Kexuan Zhang, Peichao Lai, Jikai Hu, Yilei Wang:
ADSC: LLM-Augmented Dual-Stream Cooperative Learning for Robust Automated Essay Scoring. PRICAI 2025: 247-262 - [i7]Lu Liu, Yang Tang, Kexuan Zhang, Qiyu Sun:
Causal Learning for Heterogeneous Subgroups Based on Nonlinear Causal Kernel Clustering. CoRR abs/2501.11622 (2025) - [i6]Xiaobei Zou, Luolin Xiong, Kexuan Zhang, Cesare Alippi
DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting. CoRR abs/2504.01531 (2025) - [i5]Peichao Lai, Kexuan Zhang, Yi Lin, Linyihan Zhang, Feiyang Ye, Jinhao Yan, Yanwei Xu, Conghui He, Yilei Wang, Wentao Zhang, Bin Cui:
SAS-Bench: A Fine-Grained Benchmark for Evaluating Short Answer Scoring with Large Language Models. CoRR abs/2505.07247 (2025) - [i4]Peichao Lai, Jinhui Zhuang, Kexuan Zhang, Ningchang Xiong, Shengjie Wang, Yanwei Xu, Chong Chen, Yilei Wang, Bin Cui:
WebRenderBench: Enhancing Web Interface Generation through Layout-Style Consistency and Reinforcement Learning. CoRR abs/2510.04097 (2025) - [i3]Ruizhe Huang, Kexuan Zhang, Yihao Fang, Baifeng Yu:
Probing the Limits of Compressive Memory: A Study of Infini-Attention in Small-Scale Pretraining. CoRR abs/2512.23862 (2025) - 2024
- [c1]Lu Liu, Yang Tang, Kexuan Zhang, Qiyu Sun:
Causal Learning for Heterogeneous Subgroups Based on Nonlinear Causal Kernel Clustering. IJCNN 2024: 1-8 - [i2]Kexuan Zhang, Xiaobei Zou, Yang Tang:
Caformer: Rethinking Time Series Analysis from Causal Perspective. CoRR abs/2403.08572 (2024) - 2023
- [i1]Kexuan Zhang, Qiyu Sun, Chaoqiang Zhao, Yang Tang:
Causal reasoning in typical computer vision tasks. CoRR abs/2307.13992 (2023)
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