A reliability analysis framework based on time-varying Dynamic Bayesian Network. - Yu Liu 007; Baoping Cai (IEEM, 2015)

A New Framework and Application of Software Reliability Estimation Based on Fault Detection and Correction Processes. - Yu Liu 007; Min Xie 001; Jianfeng Yang; Ming Zhao (QRS, 2015)

Modeling and analysis of reliability of multi-release open source software incorporating both fault detection and correction processes. - Jianfeng Yang; Yu Liu 007; Min Xie 001; Ming Zhao (J. Syst. Softw., 2016)

A multiphase dynamic Bayesian networks methodology for the determination of safety integrity levels. - Baoping Cai; Yu Liu 007; Qian Fan (Reliab. Eng. Syst. Saf., 2016)

A Dynamic-Bayesian-Network-Based Fault Diagnosis Methodology Considering Transient and Intermittent Faults. - Baoping Cai; Yu Liu 007; Min Xie 001 (IEEE Trans Autom. Sci. Eng., 2017)

Software Fault Detection and Correction: Modeling and Applications - Rui Peng; Yan-Fu Li; Yu Liu 007 (Springer, 2018)

Optimize FPGA-Based Neural Network Accelerator with Bit-Shift Quantization. - Yu Liu 007; Xuejiao Liu; Luhong Liang (ISCAS, 2020)

TAC-RAM: A 65nm 4Kb SRAM Computing-in-Memory Design with 57.55 TOPS/W supporting Multibit Matrix-Vector Multiplication for Binarized Neural Network. - Xiaomeng Wang; Xuejiao Liu; Xianghong Hu; Xiaopeng Zhong; Xizi Chen; Yu Liu 007; Patrick Kong; Fengshi Tian; Chi-Ying Tsui (AICAS, 2022)

ReAAP: A Reconfigurable and Algorithm-Oriented Array Processor With Compiler-Architecture Co-Design. - Jianwei Zheng 002; Yu Liu 007; Xuejiao Liu; Luhong Liang; Deming Chen; Kwang-Ting Cheng (IEEE Trans. Computers, 2022)

A Tiny Accelerator for Mixed-Bit Sparse CNN Based on Efficient Fetch Method of SIMO SPad. - Xianghong Hu; Xuejiao Liu; Yu Liu 007; Haowei Zhang; Xijie Huang; Xihao Guan; Luhong Liang; Chi-Ying Tsui; Xiaoming Xiong; Kwang-Ting Cheng (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers. - Pingcheng Dong; Yonghao Tan; Dong Zhang; Tianwei Ni; Xuejiao Liu; Yu Liu 007; Peng Luo; Luhong Liang; Shih-Yang Liu; Xijie Huang; Huaiyu Zhu 004; Yun Pan; et al. (DAC, 2024)

A 10.60 μW 150 GOPS Mixed-Bit-Width Sparse CNN Accelerator for Life-Threatening Ventricular Arrhythmia Detection. - Yifan Qin; Zhenge Jia; Zheyu Yan; Jay Mok; Manto Yung; Yu Liu 007; Xuejiao Liu; Wujie Wen; Luhong Liang; Kwang-Ting (Tim) Cheng; Xiaobo Sharon Hu; Yiyu Shi 001 (ASP-DAC, 2025)

A 28nm 0.22μJ/Token Memory-Compute-Intensity-Aware CNN-Transformer Accelerator with Hybrid-Attention-Based Layer-Fusion and Cascaded Pruning for Semantic-Segmentation. - Pingcheng Dong; Yonghao Tan; Xuejiao Liu; Peng Luo; Yu Liu 007; Luhong Liang; Yitong Zhou; Di Pang; Manto Yung; Dong Zhang; Xijie Huang; Shih-Yang Liu; et al. (ISSCC, 2025)

SwinSAM: Fine-grained polyp segmentation in colonoscopy images via segment anything model integrated with a Swin Transformer decoder. - Zhoushan Feng; Yuliang Zhang; Yanhong Chen; Yiyu Shi 001; Yu Liu 007; Wen Sun; Lili Du; Dunjin Chen (Biomed. Signal Process. Control., 2025)

APSQ: Additive Partial Sum Quantization with Algorithm-Hardware Co-Design. - Yonghao Tan; Pingcheng Dong; Yongkun Wu; Yu Liu 007; Xuejiao Liu; Peng Luo; Shih-Yang Liu; Xijie Huang; Dong Zhang; Luhong Liang; Kwang-Ting Cheng (CoRR, 2025)