Nonconvex compressive video sensing. - Liangliang Chen; Ming Yan 006; Chunqi Qian; Ning Xi 001; Zhanxin Zhou; Yongliang Yang; Bo Song; Lixin Dong (J. Electronic Imaging, 2016)

Wirelessly Powered Signal Regeneration to Improve the Remote Detectability of an Inductive Pressure Sensor. - Wei Qian; Chunqi Qian (IEEE Trans. Biomed. Circuits Syst., 2019)

Frequency Modulated Parametric Oscillation for Antenna Powered Wireless Transmission of Voltage Sensing Signals. - Wei Qian; Chunqi Qian (IEEE Trans. Biomed. Circuits Syst., 2019)

A Novel Expandable Catheter Wireless Amplified NMR Detector for MR Sensitivity Accessing the Kidney in Rodent Model. - Roshan Timilsina; Chunqi Qian (IEEE Trans. Biomed. Circuits Syst., 2019)

Wireless Reconfigurable RF Detector Array for Focal and Multiregional Signal Enhancement. - Wei Qian; Xin Yu 002; Chunqi Qian (IEEE Access, 2020)

Wireless Powered Encoding and Broadcasting of Frequency Modulated Detection Signals. - Wei Qian; Xin Yu 002; Chunqi Qian (IEEE Access, 2020)

Remote Characterization of Resonance Frequency With a Wirelessly Powered Parametric Oscillator. - Wei Qian; Chunqi Qian (IEEE Trans. Instrum. Meas., 2020)

An Automatic Petechia Dots Detection Method on Tongue. - Chunqi Qian; Hongyu Gu; Zhecheng Yang; Chuanchi Wang; Jingqing Hu; Hong Chen 002 (EMBC, 2021)

Focal fMRI signal enhancement with implantable inductively coupled detectors. - Yi Chen; Qi Wang 084; Sangcheon Choi; Hang Zeng; Kengo Takahashi; Chunqi Qian; Xin Yu 002 (NeuroImage, 2022)

Long-Range Detection of a Wirelessly Powered Resistive Transducer. - Wei Qian; Chunqi Qian (IEEE Trans. Instrum. Meas., 2022)

Designing Self-timed Asynchronous Circuits with Chisel. - Jilin Zhang; Chunqi Qian; Dexuan Huo; Jian Zhang 020; Hong Chen 002 (ASYNC, 2023)

ANP-I: A 28nm 1.5pJ/SOP Asynchronous Spiking Neural Network Processor Enabling Sub-O.1 μJ/Sample On-Chip Learning for Edge-AI Applications. - Jilin Zhang; Dexuan Huo; Jian Zhang 020; Chunqi Qian; Qi Liu 010; Liyang Pan; Zhihua Wang 001; Ning Qiao; Kea-Tiong Tang; Hong Chen 002 (ISSCC, 2023)

ANP-G: A 28nm 1.04pJ/SOP Sub-mm2 Spiking and Back-propagation Hybrid Neural Network Asynchronous Olfactory Processor Enabling Few-shot Class-incremental On-chip Learning. - Dexuan Huo; Jilin Zhang; Xinyu Dai; Jian Zhang 020; Chunqi Qian; Kea-Tiong Tang; Hong Chen 002 (VLSI Technology and Circuits, 2023)

ANP-I: A 28-nm 1.5-pJ/SOP Asynchronous Spiking Neural Network Processor Enabling Sub-0.1-μ J/Sample On-Chip Learning for Edge-AI Applications. - Jilin Zhang; Dexuan Huo; Jian Zhang 020; Chunqi Qian; Qi Liu 010; Liyang Pan; Zhihua Wang 001; Ning Qiao; Kea-Tiong Tang; Hong Chen 002 (IEEE J. Solid State Circuits, 2024)

ANP-G: A 28-nm 1.04-pJ/SOP Sub-mm² Asynchronous Hybrid Neural Network Olfactory Processor Enabling Few-Shot Class-Incremental On-Chip Learning. - Dexuan Huo; Jilin Zhang; Xinyu Dai; Jian Zhang 020; Chunqi Qian; Kea-Tiong Tang; Hong Chen 002 (IEEE J. Solid State Circuits, 2025)