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Yan Fang 0002
Person information
- affiliation: Kennesaw State University, Department of Electrical and Computer Engineering, Marietta, GA, USA
- affiliation: Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USA
- affiliation (PhD 2018): University of Pittsburgh, Department of Electrical and Computer Engineering, Pittsburgh, PA, USA
Other persons with the same name
- Yan Fang — disambiguation page
- Yan Fang 0001
— JD.com, Beijing, China (and 1 more)
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2020 – today
- 2026
[c19]Rhimesh Lwagun
, Guangyu Jiang
, Justin Lukose
, Olasubomi Rufai
, Xiaoyue Hu
, Yan Fang
:
Energy-Aware Coordination of Autonomous Multi-Robot Systems via Small Language Model. IGSC 2026: 78-82- 2025
[c18]Guangyu Jiang, Xiaoyue Hu, Weiling Li, Yan Fang:
Efficient Neuromorphic QUBO Solver with Spintronic Resonators. AICAS 2025: 1-5
[c17]Zhentao Peng, Ke Yu, Yan Fang, Weiling Li:
A Second-Order Tensor Network Model for Understanding Time-varying QoS Data. IJCNN 2025: 1-7
[i6]Zhijian Hao, Ashwin Sanjay Lele, Yan Fang, Arijit Raychowdhury, Azadeh Ansari:
FAVbot: An Autonomous Target Tracking Micro-Robot with Frequency Actuation Control. CoRR abs/2501.15426 (2025)- 2024
[c16]Yuelong Zhuo, Weiling Li, Beibei Yang, Yan Fang, Huaqiang Yuan:
Counting Repetitive Actions in Event Stream. ICIP 2024: 1670-1675
[i5]Beibei Yang, Weiling Li, Yan Fang:
Representation Learning on Event Stream via an Elastic Net-incorporated Tensor Network. CoRR abs/2401.08068 (2024)- 2023
[c15]Ashwin Sanjay Lele, Muya Chang, Samuel D. Spetalnick, Brian Crafton, Arijit Raychowdhury, Yan Fang
:
Neuromorphic Swarm on RRAM Compute-in-Memory Processor for Solving QUBO Problem. DAC 2023: 1-6
[c14]Beibei Yang, Guangyu Jiang, Yan Fang
, Weiling Li:
Incorporating Event Information for High-Quality Video Interpolation. ICNSC 2023: 1-6
[c13]Ashwin Sanjay Lele, Muya Chang, Samuel Spetalnick, Yan Fang, Brian Crafton, Shota Konno, Arijit Raychowdhury:
Live Demonstration: Hybrid RRAM and SRAM SoC for Fused Frame and Event Target Tracking. ISCAS 2023: 1
[c12]Foroozan Karimzadeh, Mohsen Imani, Bahar Asgari, Ningyuan Cao, Yingyan Lin, Yan Fang
:
Memory-Based Computing for Energy-Efficient AI: Grand Challenges. VLSI-SoC 2023: 1-8- 2022
[j4]Ashwin Sanjay Lele, Yan Fang
, Justin Ting
, Arijit Raychowdhury
:
An End-to-End Spiking Neural Network Platform for Edge Robotics: From Event-Cameras to Central Pattern Generation. IEEE Trans. Cogn. Dev. Syst. 14(3): 1092-1103 (2022)
[c11]Yan Fang
, Ashwin Sanjay Lele:
Solving Quadratic Unconstrained Binary Optimization with Collaborative Spiking Neural Networks. ICRC 2022: 84-88- 2021
[j3]Brian Crafton
, Samuel Spetalnick, Yan Fang
, Arijit Raychowdhury
:
Merged Logic and Memory Fabrics for Accelerating Machine Learning Workloads. IEEE Des. Test 38(1): 39-68 (2021)- 2020
[j2]Ashwin Sanjay Lele
, Yan Fang
, Justin Ting
, Arijit Raychowdhury
:
Learning to Walk: Bio-Mimetic Hexapod Locomotion via Reinforcement-Based Spiking Central Pattern Generation. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(4): 536-545 (2020)
[c10]Ashwin Sanjay Lele, Yan Fang
, Justin Ting
, Arijit Raychowdhury:
Learning to Walk: Spike Based Reinforcement Learning for Hexapod Robot Central Pattern Generation. AICAS 2020: 208-212
[c9]Justin Ting
, Yan Fang, Ashwin Sanjay Lele, Arijit Raychowdhury:
Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision Sensor and Spiking Neural Network. IJCNN 2020: 1-7
[c8]Ashwin Sanjay Lele, Yan Fang
, Justin Ting
, Arijit Raychowdhury:
Online Reward-Based Training of Spiking Central Pattern Generator for Hexapod Locomotion. VLSI-SOC 2020: 208-209
[i4]Ashwin Sanjay Lele, Yan Fang, Justin Ting, Arijit Raychowdhury:
Learning to Walk: Spike Based Reinforcement Learning for Hexapod Robot Central Pattern Generation. CoRR abs/2003.10026 (2020)
[i3]Justin Ting, Yan Fang, Ashwin Sanjay Lele, Arijit Raychowdhury:
Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision Sensor and Spiking Neural Network. CoRR abs/2004.05450 (2020)
2010 – 2019
- 2017
[c7]Yan Fang, Samuel J. Dickerson
:
Achieving Swarm Intelligence with Spiking Neural Oscillators. ICRC 2017: 1-4- 2016
[j1]Yan Fang, Victor V. Yashin
, Brandon B. Jennings, Donald M. Chiarulli, Steven P. Levitan:
A Simplified Phase Model for Simulation of Oscillator-Based Computing Systems. ACM J. Emerg. Technol. Comput. Syst. 13(2): 14:1-14:20 (2016)- 2015
[c6]Donald M. Chiarulli, Brandon B. Jennings, Yan Fang, Andrew J. Seel, Steven P. Levitan:
A Computational Primitive for Convolution based on Coupled Oscillator Arrays. ISVLSI 2015: 125-130
[c5]Yan Fang, Victor V. Yashin
, Donald M. Chiarulli, Steven P. Levitan:
A Simplified Phase Model for Oscillator Based Computing. ISVLSI 2015: 231-236
[i2]Yan Fang, Victor V. Yashin, Donald M. Chiarulli, Steven P. Levitan:
A Simplified Phase Model for Oscillator Based Computing. CoRR abs/1508.00051 (2015)- 2014
[c4]Yan Fang, Victor V. Yashin
, Andrew J. Seel, Brandon B. Jennings, Reggie Barnett, Donald M. Chiarulli, Steven P. Levitan:
Modeling oscillator arrays for video analytic applications. ICCAD 2014: 86-91
[c3]Matthew J. Cotter, Yan Fang, Steven P. Levitan, Donald M. Chiarulli, Vijaykrishnan Narayanan:
Computational Architectures Based on Coupled Oscillators. ISVLSI 2014: 130-135
[c2]Brandon B. Jennings, Reggie Barnett, Chet N. Gnegy, John A. Carpenter, Yan Fang, Donald M. Chiarulli, Steven P. Levitan:
HMAX image processing pipeline with coupled oscillator acceleration. SiPS 2014: 286-291
[i1]Yan Fang, Matthew J. Cotter, Donald M. Chiarulli, Steven P. Levitan:
Image Segmentation Using Frequency Locking of Coupled Oscillators. CoRR abs/1405.2362 (2014)- 2013
[c1]Steven P. Levitan, Yan Fang, John A. Carpenter, Chet N. Gnegy, Natalie S. Janosik, Soyo Awosika-Olumo, Donald M. Chiarulli, György Csaba
, Wolfgang Porod:
Associative processing with coupled oscillators. ISLPED 2013: 235
Coauthor Index

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last updated on 2026-08-05 00:27 CEST by the dblp team
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