Process Variation Compensation of a 2.4GHz LNA in 0.18um CMOS Using Digitally Switchable Capacitance. - Yike Cui; Baoyong Chi; Minjie Liu; Yulei Zhang; Yongming Li 004; Zhihua Wang 001; Patrick Chiang 001 (ISCAS, 2007)

Towards a consistent SLAM algorithm using B-Splines to represent environments. - Minjie Liu; Shoudong Huang; Gamini Dissanayake; Sarath Kodagoda (IROS, 2010)

Feature based SLAM using laser sensor data with maximized information usage. - Minjie Liu; Shoudong Huang; Gamini Dissanayake (ICRA, 2011)

A convex optimization based approach for pose SLAM problems. - Minjie Liu; Shoudong Huang; Gamini Dissanayake; Heng Wang 002 (IROS, 2012)

A novel wide temperature range bandgap reference. - Xiaofeng Gong; Minjie Liu; Bin Zhou; Jingxin Dong (MWSCAS, 2012)

A CMOS 4.6ppm/°C curvature-compensated bandgap voltage reference. - Shubin Liu; Zhangming Zhu; Huaxi Gu; Minjie Liu; Lianxi Liu; Yintang Yang (IEICE Electron. Express, 2012)

New optimization techniques for point feature and general curve feature based SLAM - Minjie Liu (2013)

A single-channel 8-bit 660 MS/s asynchronous SAR ADC with pre-settling procedure in 65 nm CMOS. - Zhangming Zhu; Minjie Liu; Qiyu Wang; Yintang Yang (Microelectron. J., 2014)

A High Linear CMOS Body Effect Compensation Bootstrapped Switch. - Siwan Dong; Minjie Liu; Zhangming Zhu; Yintang Yang (J. Circuits Syst. Comput., 2015)

A low-jitter wide-range duty cycle corrector for high-speed high-precision ADC. - Minjie Liu; Yingzi Jiang; Siwan Dong; Zhangming Zhu; Yintang Yang (Microelectron. J., 2015)

Natural Answer Generation with QA Pairs Using Sequence to Sequence Model. - Minjie Liu; Jin Liu 009; Haoliang Ren (MUE/FutureTech, 2018)

Semi-supervised learning quantization algorithm with deep features for motor imagery EEG Recognition in smart healthcare application. - Minjie Liu; Mingming Zhou; Tao Zhang 010; Naixue Xiong (Appl. Soft Comput., 2020)

Learning shared subspace regularization with linear discriminant analysis for multi-label action recognition. - Jianxin Li; Minjie Liu; Dongliang Ma; Jinyu Huang; Min Ke; Tao Zhang (J. Supercomput., 2020)

Point cloud classification by dynamic graph CNN with adaptive feature fusion. - Rui Guo; Yong Zhou 003; Jiaqi Zhao 001; Yiyun Man; Minjie Liu; Rui Yao; Bing Liu 016 (IET Comput. Vis., 2021)

Emotion-Aware and Intelligent Internet of Medical Things Toward Emotion Recognition During COVID-19 Pandemic. - Tao Zhang 010; Minjie Liu; Yuan Tian 003; Najla Abdulrahman Al-Nabhan (IEEE Internet Things J., 2021)

Survey for person re-identification based on coarse-to-fine feature learning. - Minjie Liu; Jiaqi Zhao 001; Yong Zhou 003; Hancheng Zhu; Rui Yao; Ying Chen 005 (Multim. Tools Appl., 2022)

Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution. - Yunfan Lu; Zipeng Wang 003; Minjie Liu; Hongjian Wang; Lin Wang 025 (CVPR, 2023)

Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution. - Yunfan Lu; Zipeng Wang; Minjie Liu; Hongjian Wang; Lin Wang (CoRR, 2023)

Modeling and Performance Optimization of Slotted Aloha with Successive Transmission. - Weilong Zhu; Wen Zhan; Minjie Liu; Jiyun Qiu (WCSP, 2024)

Traffic sign attack via pinpoint region probability estimation network. - Yue Wang; Minjie Liu; Yanli Ren; Xinpeng Zhang 001; Guorui Feng (Pattern Recognit., 2024)

Disentangled Cross-modal Fusion for Event-Guided Image Super-resolution. - Minjie Liu; Hongjian Wang; Kuk-Jin Yoon; Lin Wang 025 (IEEE Trans. Artif. Intell., 2024)

Long-Distance Field Demonstration of Imaging-Free Drone Identification in Intracity Environments. - Junran Guo; Tonglin Mu; Keyuan Li; Jianing Li; Ziyang Luo; Ye Chen; Xiaodong Fan; Jinquan Huang; Minjie Liu; Jinbei Zhang; Ruoyang Qi; Naiting Gu; et al. (CoRR, 2025)