{"id":2582,"date":"2025-07-03T20:06:59","date_gmt":"2025-07-03T20:06:59","guid":{"rendered":"https:\/\/faculty.engineering.asu.edu\/dfan\/?page_id=2582"},"modified":"2026-01-22T18:52:58","modified_gmt":"2026-01-22T18:52:58","slug":"patents","status":"publish","type":"page","link":"https:\/\/faculty.engineering.asu.edu\/dfan\/patents\/","title":{"rendered":"Patents"},"content":{"rendered":"\n
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  1. Deliang Fan, Fan Zhang, \u201cSystem and method for rram-based genome sequencing\u201d, US20260011409A1, https:\/\/patents.google.com\/patent\/US20260011409A1\/en<\/a><\/li>\n\n\n\n
  2. Jae-Sun Seo, Jian Meng, Li Yang, Deliang Fan, \u201cSystem and Method for Learning Sparse Features for Self-Supervised Learning with Contrastive Dual Gating,\u201d U.S. Patent Application 18\/494,330, filed July 11, 2024, https:\/\/patents.google.com\/patent\/US20240232718A9\/en<\/a><\/li>\n\n\n\n
  3. Deliang Fan, Fan Zhang, Shaahin Angizi, \u201cSYSTEM AND METHOD FOR MRNA QUANTIFICATION PROCESSING IN-MEMORY\u201d, U.S. Patent Application 18\/187,203, filed May 2, 2024, https:\/\/patents.google.com\/patent\/US20240145036A1\/en<\/a><\/li>\n\n\n\n
  4. Deliang Fan, Shaahin Angizi, \u201cMethod and System for a Programmable and Generic Processing-in-SRAM Accelerator\u201d, U.S. Patent Application 18\/499,643, filed May 2, 2024, https:\/\/patents.google.com\/patent\/US20240144998A1\/en<\/a><\/li>\n\n\n\n
  5. Jae-sun Seo, Jian Meng, Li Yang and Deliang Fan, \u201cMETHOD AND SYSTEM FOR A TEMPERATURE-RESILIENT NEURAL NETWORK TRAINING MODEL\u201d, U.S. Patent Application 18\/463,778, filed March 21, 2024, https:\/\/patents.google.com\/patent\/US20240095528A1\/en<\/a><\/li>\n\n\n\n
  6. Deliang Fan, Fan Zhang, Li Yang, \u201cSYSTEM AND METHOD FOR NEURAL NETWORK MULTIPLE TASK ADAPTATION\u201d, U.S. Patent Application 18\/360,140, filed February 1, 2024, https:\/\/patents.google.com\/patent\/US20240037394A1\/en<\/a><\/li>\n\n\n\n
  7. Deliang Fan, Shaahin Angizi \u201cOne-cycle Reconfigurable In-memory Logic for Non-volatile Memory\u201d, U.S. Patent Application 17\/885,980, filed January 4, 2024. https:\/\/patents.google.com\/patent\/US20240005976A1\/en<\/a><\/li>\n\n\n\n
  8. Jingtao Li, Chaitali Chakrabarti, Deliang Fan, Adnan Siraj Rakin, \u201cSystems and methods for a full-stack obfuscation framework to mitigate neural network architecture theft\u201d, U.S. Patent Application 18\/208,027, filed December 14, 2023. https:\/\/patents.google.com\/patent\/US20230401422A1\/en<\/a><\/li>\n\n\n\n
  9. Li Yang, Deliang Fan, Adnan Siraj Rakin, \u201cDYNAMIC ADDITIVE ATTENTION ADAPTION FOR MEMORY-EFFICIENT MULTI-DOMAIN ON-DEVICE LEARNING\u201d, U.S. Patent Application 18\/305,097, filed October 26, 2023. https:\/\/patents.google.com\/patent\/US20230342604A1\/en<\/a><\/li>\n\n\n\n
  10. Deliang Fan, Fan Zhang, Shaahin Angizi, \u201cSYSTEM AND METHOD FOR FAST AND EFFICIENT MAX\/MIN SEARCHING IN DRAM\u201d, U.S. Patent Application 18\/187,189, filed September 21, 2023. https:\/\/patents.google.com\/patent\/US20230297331A1\/en<\/a><\/li>\n\n\n\n
  11. Adnan Siraj Rakin, Deliang Fan, Sai Kiran Cherupally, Jae-sun Seo, \u201cMethods of training deep neural networks (dnn) using signal non-idealities and quantization associated with in-memory operations and related devices\u201d, U.S. Patent Application 17\/931,682, filed March 23, 2023. https:\/\/patents.google.com\/patent\/US20230085867A1\/en<\/a><\/li>\n\n\n\n
  12. Deliang Fan, Adnan Siraj Rakin, Li Yang, Chaitali Chakrabarti, Yu Cao, Jae-sun Seo, Jingtao Li, \u201cSystem and method for robust neural networking via noise injection\u201d, U.S. Patent Application 17\/932,104, filed March 16, 2023, https:\/\/patents.google.com\/patent\/US20230078473A1\/en<\/a><\/li>\n\n\n\n
  13. Sai Kiran Cherupally, Jian Meng, Shihui Yin, Deliang Fan, and Jae-sun Seo, \u201cHardware Noise-Aware Training for Improving Accuracy of In-Memory Computing-based Deep Neural Network Hardware\u201d, U.S. Patent Application 17\/714,677, filed October 6, 2022. https:\/\/patents.google.com\/patent\/US20220318628A1\/en<\/a><\/li>\n<\/ol>\n\n\n\n

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