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)

INSPIRE: Accelerating Deep Neural Networks via Hardware-friendly Index-Pair Encoding. - Fangxin Liu; Ning Yang; Zhiyan Song; Zongwu Wang; Haomin Li 002; Shiyuan Huang; Zhuoran Song; Songwen Pei; Li Jiang 002 (DAC, 2024)

HOLES: Boosting Large Language Models Efficiency with Hardware-Friendly Lossless Encoding. - Fangxin Liu; Ning Yang; Zhiyan Song; Zongwu Wang; Li Jiang 002 (ICCD, 2024)

T-BUS: Taming Bipartite Unstructured Sparsity for Energy-Efficient DNN Acceleration. - Ning Yang; Fangxin Liu; Zongwu Wang; Zhiyan Song; Tao Yang 031; Li Jiang 002 (ICCD, 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)

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 (ICASSP, 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, 2025)