Dexuan Huo - RankMe

15 papers A* 2C 1Journal 4Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	36.4 ANP-OT: A 0.17nW/Synapse 0.46pJ/SOP Neuromorphic Olfactory Processor with On-Chip Transfer Learning for Non-Invasive Cross-Hospital Cross-Pulmonary-Disease Diagnosis. ISSCC Dexuan Huo, Ziyi Cheng, Jilin Zhang, Yumeng Jiang, Lushuo Zhang, Hui Wang, Na Ma, Zebin Huang, Minggui Lin, Yunxia Zhao, Zhihua Wang, Kea-Tiong Tang, Hong Chen
2025	—	`conf`	20.2 A 67μW/Channel, 0.13nW/Synapse/b Nose-on-a-Chip for Noninvasive Diagnosis of Diseases with On-Chip Incremental Learning. ISSCC Dexuan Huo, Yu-Hsien Lin, P. K. Shihabudeen, Jilin Zhang, Tao Li, Chi-Rong Chou, Zhihua Wang, Kea-Tiong Tang, Hong Chen
2025	J	`jnl`	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. IEEE J. Solid State Circuits Dexuan Huo, Jilin Zhang, Xinyu Dai, Jian Zhang, Chunqi Qian, Kea-Tiong Tang, Hong Chen
2025	—	`conf`	ANP-L: A 22nm 0.72pJ/SOP Asynchronous SNN-based Edge-AI Processor Enabling One/Few-shot On-chip Incremental Learning. AICAS Dexuan Huo, Jilin Zhang, Hong Chen
2025	C	`conf`	An Asynchronous RISC-V Processor Utilizing a Chisel-Based Desynchronization Flow. ISCAS Haoyang Huang, Jilin Zhang, Dexuan Huo, Qibang Sun, Woogeun Rhee, Hong Chen
2025	A*	`conf`	SpikF: Spiking Fourier Network for Efficient Long-term Prediction. ICML Wenjie Wu, Dexuan Huo, Hong Chen
2024	J	`jnl`	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. IEEE J. Solid State Circuits Jilin Zhang, Dexuan Huo, Jian Zhang, Chunqi Qian, Qi Liu, Liyang Pan, Zhihua Wang, Ning Qiao, Kea-Tiong Tang, Hong Chen
2024	—	`conf`	ANVMP: A 28nm 52.6 μW 1.25pJ/SOP Asynchronous Non- Volatile-Memory-based Computing-In-Memory Neuromorphic Processor for Edge-Al Applications. A-SSCC Jilin Zhang, Qiumeng Wei, Dexuan Huo, Tao Li, Bin Gao, He Qian, Huaqiang Wu, Kea-Tiong Tang, Hong Chen
2023	—	`conf`	A 28nm Energy-efficient Asynchronous SNN Accelerator with On-chip Learning for Gas Recognition. ASYNC Dexuan Huo, Jilin Zhang, Jian Zhang, Hong Chen
2023	J	`jnl`	A Bio-Inspired Spiking Neural Network with Few-Shot Class-Incremental Learning for Gas Recognition. Sensors Dexuan Huo, Jilin Zhang, Xinyu Dai, Pingping Zhang, Shumin Zhang, Xiao Yang, Jiachuang Wang, Mengwei Liu, Xuhui Sun, Hong Chen
2023	A*	`conf`	ANAS: Asynchronous Neuromorphic Hardware Architecture Search Based on a System-Level Simulator. DAC Jian Zhang, Jilin Zhang, Dexuan Huo, Hong Chen
2023	—	`conf`	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. VLSI Technology and Circuits Dexuan Huo, Jilin Zhang, Xinyu Dai, Jian Zhang, Chunqi Qian, Kea-Tiong Tang, Hong Chen
2023	—	`conf`	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. ISSCC Jilin Zhang, Dexuan Huo, Jian Zhang, Chunqi Qian, Qi Liu, Liyang Pan, Zhihua Wang, Ning Qiao, Kea-Tiong Tang, Hong Chen
2023	—	`conf`	Designing Self-timed Asynchronous Circuits with Chisel. ASYNC Jilin Zhang, Chunqi Qian, Dexuan Huo, Jian Zhang, Hong Chen
2022	J	`jnl`	Gas Recognition in E-Nose System: A Review. IEEE Trans. Biomed. Circuits Syst. Hong Chen, Dexuan Huo, Jilin Zhang