Zhiyan Song

According to our database, Zhiyan Song authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

JT-DA: Enhancing Data Analysis with Tool-Integrated Table Reasoning Large Language Models.

Ce Chi, Xing Wang, Zhendong Wang, Xiaofan Liu, Ce Li, Zhiyan Song, Chen Zhao, Kexin Yang, Boshen Shi, Jingjing Yang, Chao Deng, Junlan Feng

CoRR, December, 2025

TReB: A Comprehensive Benchmark for Evaluating Table Reasoning Capabilities of Large Language Models.

Ce Li, Xiaofan Liu, Zhiyan Song, Ce Chi, Chen Zhao, Jingjing Yang, Zhendong Wang, Kexin Yang, Boshen Shi, Xing Wang, Chao Deng, Junlan Feng

CoRR, June, 2025

A Knowledge-enhanced Hierarchical Graph Transfer Learning Framework for Large-scale Mobile Traffic Prediction.

Xing Wang, Zhiyan Song, Zhendong Wang, Kexin Yang, Chao Deng, Junlan Feng

Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

InjectTST: Injecting Global Information into Independent Channels for Long Time Series Forecasting.

Ce Chi, Xing Wang, Kexin Yang, Zhiyan Song, Di Jin, Lin Zhu, Chao Deng, Junlan Feng

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

A Survey on Deep Learning for Cellular Traffic Prediction.

Xing Wang, Zhendong Wang, Kexin Yang, Zhiyan Song, Chong Bian, Junlan Feng, Chao Deng

Intell. Comput., 2024

InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting.

Ce Chi, Xing Wang, Kexin Yang, Zhiyan Song, Di Jin, Lin Zhu, Chao Deng, Junlan Feng

CoRR, 2024

T-BUS: Taming Bipartite Unstructured Sparsity for Energy-Efficient DNN Acceleration.

Ning Yang, Fangxin Liu, Zongwu Wang, Zhiyan Song, Tao Yang, Li Jiang

Proceedings of the 42nd IEEE International Conference on Computer Design, 2024

HOLES: Boosting Large Language Models Efficiency with Hardware-Friendly Lossless Encoding.

Fangxin Liu, Ning Yang, Zhiyan Song, Zongwu Wang, Li Jiang

Proceedings of the 42nd IEEE International Conference on Computer Design, 2024

INSPIRE: Accelerating Deep Neural Networks via Hardware-friendly Index-Pair Encoding.

Fangxin Liu, Ning Yang, Zhiyan Song, Zongwu Wang, Haomin Li, Shiyuan Huang, Zhuoran Song, Songwen Pei, Li Jiang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting.

Xing Wang, Zhendong Wang, Kexin Yang, Junlan Feng, Zhiyan Song, Chao Deng, Lin Zhu

CoRR, 2023