My Google Scholar: https://scholar.google.com/citations?user=gktYZdsAAAAJ&hl=en

Some Manuscripts also available at https://www.researchgate.net/profile/Yan_Fang15/publications

Journal Publications

• Ashwin S. Lele, Yan Fang, Aqeel Anwar, and Arijit Raychowdhury, " Bio-Mimetic High-Speed Target Localization with Fused Frame and Event Vision for Edge Application", Frontiers in Neuroscience, 16:1010302, 2022. DOI: 10.3389/fnins.2022.1010302

• Ashwin S. Lele, Yan Fang, Justin Ting, and Arijit Raychowdhury, " An End-to-end Spiking Neural Network Platform for Edge Robotics: From Event-Cameras to Central Pattern Generation", IEEE Transactions on Cognitive and Developmental Systems, July 2021, DOI: 10.1109/TCDS.2021.3097675

• Ashwin S. Lele, Yan Fang, Justin Ting, and Arijit Raychowdhury, "Learning to Walk: Bio-Mimetic Hexapod Locomotion via Reinforcement Based Spiking Central Pattern Generation", IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 10(4), pp. 536 - 545, Oct 2020. DOI: 10.1109/JETCAS.2020.3033135 

• Brian Crafton, Sam Spetalnick, Yan Fang, and Arijit Raychowdhury, "Merged Logic and Memory Fabrics for Accelerating Machine Learning Workloads", IEEE Design & Test, August 2020 (Early Access). DOI: 10.1109/MDAT.2020.3016587 

• Yan Fang*, Zheng Wang, Jorge Gomez, Suman Datta, Asif I. Khan, Arijit Raychowdhury, “A Swarm Optimization Solver based on Ferroelectric Spiking Neural Networks”, Frontiers in Neuroscience, 13:855, 2019, (Open Access) DOI:10.3389/fnins.2019.00855, highlighted in SRC Newsletter (Aug 2019)

• Yan Fang*, Jorge Gomez, Zheng Wang, Suman Datta, Asif I. Khan, Arijit Raychowdhury, “Neuro-mimetic Dynamics of a Ferroelectric FET Based Spiking Neuron”, IEEE Electron Device Letters, 40(7), 2019, DOI: 10.1109/LED.2019.2914882, highlighted on the journal cover.

• Yan Fang, Victor V. Yashin, Samuel J. Dickerson, Anna C. Balazs, “Detecting Spatial Defects in Colored Patterns Using Self-Oscillating Gels ”, Journal of Applied Physics, 123 (21), 215107, 2018, DOI: 10.1063/1.5025052

• Yan Fang, Victor V. Yashin, Steven P. Levitan, Anna C. Balazs, “Tuning the Synchronization of a Network of Weakly Coupled Self-oscillating Gels via Capacitors”, Chaos, 28 (5), 053106, 2018, DOI: 10.1063/1.5026589

• Yan Fang, Victor V. Yashin, Steven P. Levitan, Anna C. Balazs, “Designing Self-powered Materials Systems that Perform Pattern Recognition ”, Chemical Communications, 53, 7692 - 7706. 2017. DOI: 10.1039/C7CC03119J.

• Yan Fang, Victor V. Yashin, Steven P. Levitan, Anna C. Balazs, “Pattern Recognition with 'Material that Compute' ”, Science Advances, vol. 2, e1601114, Sep, 2016. DOI (Open access): 10.1126/sciadv.1601114.  Reported by 32 Media Outlets

• 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 Journal on Emerging Technologies in Computing Systems, Vol. 13, Issue. 2, Article No. 14, Dec, 2016. DOI:  10.1145/2976743. 

• Yan Fang, Chet N. Gnegy, Tadashi Shibata, Denver Dash, Donald M. Chiarulli, Steven P. Levitan, “Non-Boolean Associative Processing: Circuits, System Architecture, and Algorithms.” IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol. 1, pp.94-102, Dec, 2015. DOI (Open access): 10.1109/JXCDC.2015.2507863

Conference Publications

• [VLSI-SoC ’23] Foroozan Karimzadeh, Mohsen Imani, Bahar Asgari, Ningyuan Cao, Yingyan Lin, Yan Fang, "Memory-Based Computing for Energy-Efficient AI: Grand Challenges", 2023 IFIP/IEEE 31st International Conference on Very Large Scale Integration (VLSI-SoC), Dubai, United Arab Emirates, Oct 16-18, 2023 

• [ICONS ’23] Tariq Walker, Guangyu Jiang, Weiling Li, Yan Fang, "Exploring the Potential of Spintronic Neuromorphic Swarms for Combinatorial Optimization", 2023 ACM International Conference on Neuromorphic Systems, Santa Fe, NM, Aug 1-3, 2023 

• [DAC ’23] 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", 60th ACM/IEEE Design Automation Conference, San Francisco, CA, July 9-13, 2023 (Oral)

• [ICRC ’22] Yan Fang, Ashwin S. Lele, “Solving Quadratic Unconstrained Binary Optimization with Collaborative Spiking Neural Networks,” 2022 IEEE International Conference on Rebooting Computing, Washington D.C, Nov 8-9, 2022 (Oral)  

• [VLSI-SoC ’20] Ashwin S. Lele, Yan Fang, Justin Ting, and Arijit Raychowdhury, "Online-Reward Based based Training of Spiking Central Pattern Generation for Hexapod Locomotion", 28th IFIP/IEEE International Conference on Very Large Scale Integration, Salt Lake City, UT, Oct 5-9, 2020 (Oral) 

• [WCCI-IJCNN ’20] Justin Ting, Yan Fang, Ashwin S. Lele and Arijit Raychowdhury, "Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision Sensor and Spiking Neural Network", IEEE World Congress On Computational Intelligence - International Joint Conference on Neural Networks, Glasgow, July 19-24, 2020 

• [AICAS ’20] Ashwin S. Lele, Yan Fang, Justin Ting, and Arijit Raychowdhury, "Learning to walk: Spike based reinforcement learning for hexapod robot central pattern generation", 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, Genoa, Italy, Aug 31-Sep 04, 2020 (Oral)

• [ICRC ’17] Yan Fang*, Samuel J. Dickerson, “Achieving Swarm Intelligence with Spiking Neural Oscillators,” 2017 IEEE International Conference on Rebooting Computing, Washington D.C, Nov 8-9, 2017 (Oral)  

• [ISVLSI ’15] Yan Fang, Victor V. Yashin, Donald M. Chiarulli, Steven P. Levitan, “A Simplified Phase Model for Oscillator Based Computing,” 2015 IEEE Computer Society Annual Symposium on VLSI , Montpellier, France, July 9-11, 2015 (Oral)  

• [ISVLSI ’15] Donald M. Chiarulli, Brandon Jennings, Yan Fang, Andrew J. Seel, Steven P. Levitan, “A Computational Primitive for Convolution based on Coupled Oscillator Arrays,” 2015 IEEE Computer Society Annual Symposium on VLSI, Montpellier, France, July 9-11, 2015

• [ICCAD '14] Yan Fang, Victor V. Yashin, Andrew J. Seel, Brandon Jennings, Reggie Barnett, Donald M. Chiarulli, Steven P. Levitan, “Modeling Oscillator Arrays for Video Analytic Applications,” 33rd IEEE/ACM International Conference on Computer-Aided Design, San Jose, CA, Nov 2-6, 2014 (Oral)  

• [SiPS '14] Brandon Jennings, Reggie Barnett, Chet Gnegy, John A. Carpenter, Yan Fang, Donald M. Chiarulli and Steven P. Levitan, “HMAX Image Processing Pipeline with Coupled Oscillator Acceleration”, IEEE International Workshop on Signal Processing Systems, Oct 20-22, 2014

• [CNNA '14] Yan Fang, Matthew J. Cotter, Donald M. Chiarulli, Steven P. Levitan, "Image Segmentation Using Frequency Locking of Coupled Oscillators," 14th IEEE Int'l Workshop on Cellular Nanoscale Networks & their Applications (CNNA), Notre Dame, Indiana, July 29-31, 2014. (Oral)  

• [CNNA '14] John A. Carpenter, Yan Fang, Chet N. Gnegy, Donald M. Chiarulli, Steven P. Levitan, "An Image Processing Pipeline Using Coupled Oscillators," 14th IEEE Int'l Workshop on Cellular Nanoscale Networks & their Applications, Notre Dame, Indiana, July 29-31, 2014. 

• [ISVLSI '14] Matthew J. Cotter, Yan Fang, Donald M. Chiarulli, Steven P. Levitan, Vijaykrishnan Narayanan. "Computational Architectures based on Coupled Oscillators," IEEE Computer Society Annual Symposium on VLSI, Tampa, Florida, July 9-11, 2014

• [DAC '14] Yan Fang, Matthew J. Cotter, Donald M. Chiarulli, Steven P. Levitan, "Image Segmentation Using Coupled Nano-Oscillators," 51st Design Automation Conference, Work-in-Progress Poster, San Francisco, CA, June 1-5, 2014. 

• [ISLPED '13] Levitan, Steven P., Yan Fang, John A. Carpenter, Chet N. Gnegy, Natalie S. Janosik, Soyo Awosika-Olumo, Donald M. Chiarulli, Gyorgy Csaba, and Wolfgang Porod. "Associative processing with coupled oscillators." IEEE International Symposium on Low Power Electronics and Design, Beijing, China, Sept 4-6. 2013. 

• [DAC '13] Yan Fang, Steven P. Levitan, "Associative Processing Using Coupled Oscillators," 50th Design Automation Conference , Work-in-Progress Poster, Austin, TX, June 2-6, 2013, poster

• [CNNA '12] Steven P. Levitan, Yan Fang, Denver H. Dash, Tadashi Shibata, Dmitri E. Nikonov, George I. Bourianoff, "Non-Boolean Associative Architectures Based on Nano-Oscillators," 13th IEEE Int'l Workshop on Cellular Nanoscale Networks & their Applications, Turin, Italy, August 29-31, 2012. 

Conference Abstracts

• [ICONS ’22] Kelsi Smith, Yan Fang, "A Spiking Central Pattern Generator for Quadrupedal Gaits", 2022 IEEE International Conference on Neuromorphic Systems, Knoxville, TN, Aug 7-9, 2022

• [DAC ’20] Ashwin S. Lele, Yan Fang, Justin Ting, and Arijit Raychowdhury, "Learning to Walk: Online Bio-Mimetic Reinforcement Learning for Spiking Central Pattern Generation", the 57th Design Automation Conference (DAC, PhD Forum Poster), San Francisco, CA, July 19-23, 2020

• [MRS '18] Yan Fang, Victor V. Yashin, Samuel J. Dickerson, Anna C. Balazs, “Increasing Information Storage Capacity in Computing Devices Formed from Self-Oscillating Gels”, 2018 MRS Spring Meeting & Exhibit, Phoenix, AZ, April 2-6, 2018. (Oral Presentation) 

• [MRS '18] Yan Fang, Victor V. Yashin, Samuel J. Dickerson, Anna C. Balazs, “Detecting Spatial Defects in Colored Patterns with Coupled Self-Oscillating Gels”, 2018 MRS Spring Meeting & Exhibit, Phoenix, AZ, April 2-6, 2018. (Oral Presentation) 

• [APS '18] Yan Fang, Victor V. Yashin, Samuel J. Dickerson, Anna C. Balazs, “Detecting Spatial Defects in Colored Patterns with Coupled Self-Oscillating Gels”, APS March Meeting, Los Angeles, CA, Mar 5-9, 2018. (Oral Presentation)

• [APS '18] Yan Fang, Victor V. Yashin, Samuel J. Dickerson, Anna C. Balazs, “Increasing Information Storage Capacity in Computing Devices Formed from Self-Oscillating Gels”, APS March Meeting, Los Angeles, CA, Mar 5-9, 2018. 

• [MRS '17] Yan Fang, Victor V. Yashin, Steven P. Levitan, Anna C. Balazs, “Pattern Recognition with 'Material that Compute' ”, 2017 MRS Spring Meeting & Exhibit, Phoenix, AZ, April 17-21, 2017. (Oral Presentation)  

• [UCNC '17] Yan Fang, Victor V. Yashin, Steven P. Levitan, Anna C. Balazs, “Pattern Recognition with 'Material that Compute' ”, The 16th International Conference on Unconventional Computation and Natural Computation, Fayetteville, AR, June 5-9, 2017. 

• [NVMW '14] Steven P. Levitan, Yan Fang, Donald M. Chiarulli, "Using Analog Memory with Coupled Oscillators for Pattern Recognition Applications," 5th Non-Volatile Memory Workshop, San Diego, CA, March 9-11, 2014.

Book Chapter

• Yan Fang, Steven Levitan, Donald M. Chiarulli, Denver Dash, "Alternative Architectures for Non-Boolean Information Processing System", Chapter 24 in book: Emerging Nanoelectronic Devices, An Chen, Victor Zhirnov, George Bourianoff , Ed. John Wiley & Sons, Ltd, Nov 12, 2014

Thesis & Dissertation

• Yan Fang, “COMPUTING WITH HYBRID MATERIAL OSCILLATORS,” Ph.D. Dissertation, Department of Electrical and Computer Engineering, University of Pittsburgh, May 2018

• Yan Fang, “Hierarchical Associative Memory Based on Oscillatory Neural Networks,” M.S. Thesis, Department of Electrical and Computer Engineering, University of Pittsburgh, Apr 2013