World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
38
Citations
4882
World Ranking
731
National Ranking
115

Computer Science

D-Index
39
Citations
5392
World Ranking
9871
National Ranking
4153

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Deliang Fan is affiliated with Johns Hopkins University in the United States. Their research spans multiple domains in computer science and engineering, with significant contributions to electrical and electronic engineering, artificial intelligence, and computer vision.

Their work prominently covers the fields of:

  • Advanced Memory and Neural Computing
  • Advanced Neural Network Applications
  • Ferroelectric and Negative Capacitance Devices
  • Domain Adaptation and Few-Shot Learning
  • Adversarial Robustness in Machine Learning
  • RNA Research and Splicing
  • RNA modifications and cancer

They have published extensively across various venues, notable among these are:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • IEEE Transactions on Magnetics

Some of their recent papers include:

  • "2D MoS2-Based Threshold Switching Memristor for Artificial Neuron" (2020), published in IEEE Electron Device Letters
  • "Non-Structured DNN Weight Pruning-Is It Beneficial in Any Platform?" (2021), published in IEEE Transactions on Neural Networks and Learning Systems
  • "DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories" (2022), published in 2022 IEEE Symposium on Security and Privacy (SP)
  • "DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips" (2020), published in arXiv (Cornell University)
  • "ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning" (2022), published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The scientist collaborates regularly with multiple researchers, including:

  • Adnan Siraj Rakin
  • Jae-sun Seo
  • Zhezhi He
  • Li Yang
  • Jian Meng

Best Publications

  • Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack

    Zhezhi He;Adnan Siraj Rakin;Deliang Fan

  • Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search

    Adnan Siraj Rakin;Zhezhi He;Deliang Fan

  • Spin-Transfer Torque Devices for Logic and Memory: Prospects and Perspectives

    Xuanyao Fong;Yusung Kim;Karthik Yogendra;Deliang Fan

  • TBT: Targeted Neural Network Attack With Bit Trojan

    Adnan Siraj Rakin;Zhezhi He;Deliang Fan

  • Noise Injection Adaption: End-to-End ReRAM Crossbar Non-ideal Effect Adaption for Neural Network Mapping

    Zhezhi He;Jie Lin;Rickard Ewetz;Jiann-Shiun Yuan

  • Non-Structured DNN Weight Pruning--Is It Beneficial in Any Platform?

    Xiaolong Ma;Sheng Lin;Shaokai Ye;Zhezhi He

  • A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels

    Yifan Ding;Liqiang Wang;Deliang Fan;Boqing Gong

  • MRIMA: An MRAM-Based In-Memory Accelerator

    Shaahin Angizi;Zhezhi He;Amro Awad;Deliang Fan

  • DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories

    Adnan Siraj Rakin;Hafizul Islam Chowdhuryy;Fan Yao;Deliang Fan

  • CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator

    Shaahin Angizi;Zhezhi He;Adnan Siraj Rakin;Deliang Fan

  • ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning

    Unknown

  • STT-SNN: A Spin-Transfer-Torque Based Soft-Limiting Non-Linear Neuron for Low-Power Artificial Neural Networks

    Deliang Fan;Yong Shim;Anand Raghunathan;Kaushik Roy

  • Coupled Spin Torque Nano Oscillators for Low Power Neural Computation

    Karthik Yogendra;Deliang Fan;Kaushik Roy

  • 2D MoS 2 -Based Threshold Switching Memristor for Artificial Neuron

    Durjoy Dev;Adithi Krishnaprasad;Mashiyat S. Shawkat;Zhezhi He

  • Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing

    Deliang Fan;Mrigank Sharad;Abhronil Sengupta;Kaushik Roy

  • T-BFA: Targeted Bit-Flip Adversarial Weight Attack.

    Adnan Siraj Rakin;Zhezhi He;Jingtao Li;Fan Yao

  • Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack

    Zhezhi He;Adnan Siraj Rakin;Jingtao Li;Chaitali Chakrabarti

  • Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation

    Zhezhi He;Deliang Fan

  • DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips

    Fan Yao;Adnan Siraj Rakin;Deliang Fan

  • Spin-neurons: A possible path to energy-efficient neuromorphic computers

    Mrigank Sharad;Deliang Fan;Kaushik Roy

  • Ultra low power associative computing with spin neurons and resistive crossbar memory

    Mrigank Sharad;Deliang Fan;Kaushik Roy

  • AlignS: A Processing-In-Memory Accelerator for DNA Short Read Alignment Leveraging SOT-MRAM

    Shaahin Angizi;Jiao Sun;Wei Zhang;Deliang Fan

  • GraphiDe: A Graph Processing Accelerator leveraging In-DRAM-Computing

    Shaahin Angizi;Deliang Fan

  • Spin Neurons: A Possible Path to Energy-Efficient Neuromorphic Computers

    Mrigank Sharad;D. Fan;Kaushik Roy

Frequent Co-Authors

Shaahin Angizi
Shaahin Angizi New Jersey Institute of Technology
Kaushik Roy
Kaushik Roy Purdue University West Lafayette
Boqing Gong
Boqing Gong Google (United States)
Ronald F. DeMara
Ronald F. DeMara University of Central Florida
Chaitali Chakrabarti
Chaitali Chakrabarti Arizona State University
Yanzhi Wang
Yanzhi Wang Northeastern University
Jae-sun Seo
Jae-sun Seo Cornell University
Jie Han
Jie Han University of Alberta
Yu Cao
Yu Cao University of Minnesota
Jinfeng Yi
Jinfeng Yi IBM (United States)

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