Defect tolerant in-memory analog computing with CMOS-integrated nanoscale crossbars: Invited. - Mingrui Jiang; Ruibin Mao; John Paul Strachan; Can Li (ICECS, 2021)

Experimentally-Validated Crossbar Model for Defect-Aware Training of Neural Networks. - Ruibin Mao; Bo Wen; Mingrui Jiang; Jiezhi Chen; Can Li (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Efficient Nonlinear Function Approximation in Analog Resistive Crossbars for Recurrent Neural Networks. - Junyi Yang; Ruibin Mao; Mingrui Jiang; Yichuan Cheng; Pao-Sheng Vincent Sun; Shuai Dong; Giacomo Pedretti; Xia Sheng; Jim Ignowski; Haoliang Li; Can Li; Arindam Basu (CoRR, 2024)

Realizing In-Memory Baseband Processing for Ultrafast and Energy-Efficient 6G. - Qunsong Zeng; Jiawei Liu; Mingrui Jiang; Jun Lan; Yi Gong 001; Zhongrui Wang; Yida Li; Can Li; Jim Ignowski; Kaibin Huang (IEEE Internet Things J., 2024)

Current Opinions on Memristor-Accelerated Machine Learning Hardware. - Mingrui Jiang; Yichun Xu; Zefan Li; Can Li (CoRR, 2025)

Hardware-Adaptive and Superlinear-Capacity Memristor-based Associative Memory. - Chengping He; Mingrui Jiang; Keyi Shan; Szu-Hao Yang; Zefan Li; Shengbo Wang; Giacomo Pedretti; Jim Ignowski; Can Li (CoRR, 2025)

Fault-Free Analog Computing with Imperfect Hardware. - Zhicheng Xu; Jiawei Liu; Sitao Huang; Zefan Li; Shengbo Wang; Bo Wen; Ruibin Mao; Mingrui Jiang; Giacomo Pedretti; Jim Ignowski; Kaibin Huang; Can Li (CoRR, 2025)

Improving Accuracy of the IMU/UWB Fusion Positioning Approach Utilizing ESEKF and VBUKF for Underground Coal Mining Working Face. - Bo Cao; Mingrui Jiang; Menglan Li; Xuran Ke; Chao Zhang; Hua Zhang; Qiliang Zeng; Biyong Xu (IEEE Internet Things J., 2025)