Probabilistic Compute-in-Memory Design for Efficient Markov Chain Monte Carlo Sampling. - Yihan Fu; Daijing Shi; Anjunyi Fan; Wenshuo Yue; Yuchao Yang 001; Ru Huang 001; Bonan Yan (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

PEARL: FPGA-Based Reinforcement Learning Acceleration with Pipelined Parallel Environments. - Jiayi Li; Hongxiao Zhao; Wenshuo Yue; Yihan Fu; Daijing Shi; Anjunyi Fan; Yuchao Yang; Bonan Yan (DATE, 2025)

PROCA: Programmable Probabilistic Processing Unit Architecture with Accept/Reject Prediction & Multicore Pipelining for Causal Inference. - Yihan Fu; Anjunyi Fan; Wenshuo Yue; Hongxiao Zhao; Daijing Shi; Qiuping Wu; Jiayi Li; Xiangyu Zhang; Yaoyu Tao; Yuchao Yang 001; Bonan Yan (HPCA, 2025)

Non-Binary LDPC Arithmetic Error Correction For Processing-in-Memory. - Daijing Shi; Yihang Zhu; Anjunyi Fan; Yaoyu Tao; Yuchao Yang 001; Bonan Yan (CoRR, 2025)