| 2026 | SIGIR | TReB: A Comprehensive Benchmark for Evaluating Table Reasoning Capabilities of Large Language Models. | Ce Li, Xiaofan Liu, Zhiyan Song, Ce Chi, Boshen Shi, Chen Zhao, Guanguang Chang, Zhendong Wang, Kexin Yang, Xing Wang, Chao Deng, Junlan Feng |
| 2025 | ICASSP | 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 |
| 2025 | IWQoS | 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 |
| 2024 | DAC | 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 |
| 2024 | ICCD | HOLES: Boosting Large Language Models Efficiency with Hardware-Friendly Lossless Encoding. | Fangxin Liu, Ning Yang, Zhiyan Song, Zongwu Wang, Li Jiang |
| 2024 | ICCD | T-BUS: Taming Bipartite Unstructured Sparsity for Energy-Efficient DNN Acceleration. | Ning Yang, Fangxin Liu, Zongwu Wang, Zhiyan Song, Tao Yang, Li Jiang |