| 2026 | DATE | SA-ANT: Efficient Low-Bit Group-Wise Quantization for Large Language Models via Sign-Asymmetric Adaptive Numeric Type. | Xinkuang Geng, Siting Liu, Hui Wang, Jie Han, Honglan Jiang |
| 2026 | DATE | Bridging the Power Estimation Gap: A GNN-Based Prediction Model for Approximate Logic Synthesis. | Fuxuan Li, Ao Liu, Siting Liu, Hui Wang, Jie Han, Honglan Jiang |
| 2026 | DATE | HAP: Accelerating DNNs with Resolution-Preserved Quantization by Harnessing Adaptive-Precision. | Erjing Luo, Xinkuang Geng, Honglan Jiang, Leibo Liu, Jie Han |
| 2026 | ISCA | ELSA: An Elastic Snn Inference Architecture for Efficient Neuromorphic Computing. | Kang You, Chen Nie, Lee Jun Yan, Ziling Wei, Cheng Zou, Zekai Xu, Yu Feng, Honglan Jiang, Zhezhi He |
| 2026 | ISCAS | A 10-Bit Successive Reference Approximation ADC Enabled By Switched-Capacitor Dynamic Reference Generation With Pipelined Pre-charging And Voltage Ripple Cancellation. | Hanlin Xu, Runtao Huo, Yiwen Zhang, Honglan Jiang, Yan Liu, Minmin You, Hui Wang |
| 2026 | ISCAS | Approximate Signed Multiplier Designs for Efficient CNN Inference. | Mengshuo Zhang, Wenhui Zhang, Xiaolu Hu, Xinkuang Geng, Honglan Jiang |
| 2025 | DAC | EPIC: Error PredIction and Correction for Power-Efficient Voltage Underscaling Multiply-Accumulate Unit. | Tongjing Wu, Xiaolu Hu, Tong Li, Siting Liu, Hui Wang, Weifeng He, Zhigang Mao, Honglan Jiang |
| 2025 | DATE | Lookup Table Refactoring: Towards Efficient Logarithmic Number System Addition for Large Language Models. | Xinkuang Geng, Siting Liu, Hui Wang, Jie Han, Honglan Jiang |
| 2025 | DATE | Segment-Wise Accumulation: Low-Error Logarithmic Domain Computing for Efficient Large Language Model Inference. | Xinkuang Geng, Yunjie Lu, Hui Wang, Honglan Jiang |
| 2025 | DATE | A Low-Power Mixed-Precision Integrated Multiply-Accumulate Architecture for Quantized Deep Neural Networks. | Xiaolu Hu, Xinkuang Geng, Zhigang Mao, Jie Han, Honglan Jiang |
| 2024 | DAC | QUQ: Quadruplet Uniform Quantization for Efficient Vision Transformer Inference. | Xinkuang Geng, Siting Liu, Leibo Liu, Jie Han, Honglan Jiang |
| 2024 | DATE | Compact Powers-of-Two: An Efficient Non-Uniform Quantization for Deep Neural Networks. | Xinkuang Geng, Siting Liu, Jianfei Jiang, Kai Jiang, Honglan Jiang |
| 2024 | DATE | A Configurable Approximate Multiplier for CNNs Using Partial Product Speculation. | Xiaolu Hu, Ao Liu, Xinkuang Geng, Zizhong Wei, Kai Jiang, Honglan Jiang |
| 2023 | DAC | COSA:Co-Operative Systolic Arrays for Multi-head Attention Mechanism in Neural Network using Hybrid Data Reuse and Fusion Methodologies. | Zhican Wang, Gang Wang, Honglan Jiang, Ningyi Xu, Guanghui He |
| 2023 | ISCAS | Feature-Embedding Triplet Networks with a Separately Constrained Loss Function. | Ziheng Wang, Farzad Niknia, Shanshan Liu, Honglan Jiang, Siting Liu, Pedro Reviriego, Fabrizio Lombardi |
| 2022 | HPCA | Upward Packet Popup for Deadlock Freedom in Modular Chiplet-Based Systems. | Yibo Wu, Liang Wang, Xiaohang Wang, Jie Han, Jianfeng Zhu, Honglan Jiang, Shouyi Yin, Shaojun Wei, Leibo Liu |
| 2018 | DATE | Adaptive approximation in arithmetic circuits: A low-power unsigned divider design. | Honglan Jiang, Leibo Liu, Fabrizio Lombardi, Jie Han |