Gas Recognition in E-Nose System: A Review. - Hong Chen 002; Dexuan Huo; Jilin Zhang (IEEE Trans. Biomed. Circuits Syst., 2022)

A 28nm Energy-efficient Asynchronous SNN Accelerator with On-chip Learning for Gas Recognition. - Dexuan Huo; Jilin Zhang; Jian Zhang 020; Hong Chen 002 (ASYNC, 2023)

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

ANAS: Asynchronous Neuromorphic Hardware Architecture Search Based on a System-Level Simulator. - Jian Zhang 020; Jilin Zhang; Dexuan Huo; Hong Chen 002 (DAC, 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)

A Bio-Inspired Spiking Neural Network with Few-Shot Class-Incremental Learning for Gas Recognition. - Dexuan Huo; Jilin Zhang; Xinyu Dai; Pingping Zhang; Shumin Zhang; Xiao Yang; Jiachuang Wang; Mengwei Liu; Xuhui Sun; Hong Chen 002 (Sensors, 2023)

ANVMP: A 28nm 52.6 μW 1.25pJ/SOP Asynchronous Non- Volatile-Memory-based Computing-In-Memory Neuromorphic Processor for Edge-Al Applications. - Jilin Zhang; Qiumeng Wei; Dexuan Huo; Tao Li; Bin Gao 006; He Qian; Huaqiang Wu; Kea-Tiong Tang; Hong Chen 002 (A-SSCC, 2024)

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)

An Asynchronous RISC-V Processor Utilizing a Chisel-Based Desynchronization Flow. - Haoyang Huang; Jilin Zhang; Dexuan Huo; Qibang Sun; Woogeun Rhee; Hong Chen 002 (ISCAS, 2025)

20.2 A 67μW/Channel, 0.13nW/Synapse/b Nose-on-a-Chip for Noninvasive Diagnosis of Diseases with On-Chip Incremental Learning. - Dexuan Huo; Yu-Hsien Lin; P. K. Shihabudeen; Jilin Zhang; Tao Li; Chi-Rong Chou; Zhihua Wang; Kea-Tiong Tang; Hong Chen 002 (ISSCC, 2025)

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)