J. Joshua Yang
Arthur B. Freeman Chair Professor of Electrical and Computer Engineering
Develops memristor devices for in-memory and neuromorphic computing.
J. Joshua Yang's lab at USC works on accelerators, chips & architecture. 34 papers since 2023, 8 at top venues, mostly Nature and Nature Communications. 7 PhD students. 5 alumni. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 24%
- PhD students
- 7
- MS students
- 0
- alumni listed
- 5
Papers by yearfrom the lab homepage, 2023–2026
- 4 papers2026 · T1 2 · collecting
- 8 papers2025 · T1 3
- 13 papers2024 · T1 1
- 9 papers2023 · T1 2
T1 venuesOtherVenues: Nature, Nature Communications, Science, Nature Machine Intelligence, NPJ UNCONVENTIONAL COMPUTING 1
Research focuspaper titles that use each topic's words
- neuromorphic7 papers
- Accelerators, chips & architecture5 papers
- neuromorphic computing4 papers
- devices3 papers
- in-memory1 paper
Paper list
From the lab homepage.
20264 papers
- Science (T1)High-temperature memristors enabled by interfacial engineering (opens in a new tab)
- Nature Electronics 9, 189-199Memristive cellular neural networks for fast in-pixel computing (opens in a new tab)
- Nature Communications (T1)Programmable ferroelectric rectifier for reliable and efficient neuromorphic crossbar array (opens in a new tab)
- Nature SensorsSelf-powered analogue neuromorphic system for multimodal sensing, encoding and learning with diffusive and drift memristors (opens in a new tab)
20258 papers
- Nature ElectronicsA spiking artificial neuron based on onediffusive memristor, one transistor andone resistor (opens in a new tab)
- Nature Communications (T1)Artificial transneurons emulate neuronal activity in different areas of brain cortex (opens in a new tab)
- SCIENCE ADVANCES 11 eadv2082HfZrO-based synaptic resistor circuit for a Super-Turing intelligent system (opens in a new tab)
- NATURE NANOTECHNOLOGY 20, 83-92Linearly programmable two-dimensional halide perovskite memristor arrays for neuromorphic computing (opens in a new tab)
- NATURE ELECTRONICS 8, 857-596Radiofrequency signal processing with a memristive system-on-a-chip (opens in a new tab)
- SCIENCE ADVANCES 11 eadv3436Real-time signal processing enabled by fused networks on a memristor-based system on a chip (opens in a new tab)
- Nature Machine Intelligence (T1)Solving finite element methods with spiking networks (opens in a new tab)
- Nature (T1)The growing memristor industry (opens in a new tab)
202413 papers
- NATURE COMUNICATIONS 153D-integrated multilayered physical reservoir array for learning and forecasting time-series information (opens in a new tab)
- IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR ARTIFICIAL INTELLIGENCE 2996-6647A Faithful and Compact Diffusive Memristor Model (opens in a new tab)
- NPJ UNCONVENTIONAL COMPUTING 1Accurate compact nonlinear dynamical model for a volatile ferroelectric ZrO2 capacitor (opens in a new tab)
- ADVANCED MATERIALS 202307334Halide Perovskites-based Diffusive Memristors for Artificial Mechano- Nociceptive System (opens in a new tab)
- NATURE COMUNICATIONS 15Hardware implementation of memristor based artificial neural networks
- APL MACHINE LEARNINGIn-memory and in-sensor reservoir computing with memristive devices (opens in a new tab)
- CHEMICAL REVIEWS 125 745-785Memristive Ion Dynamics to Enable Biorealistic Computing (opens in a new tab)
- NATURE REVIEWS ELECTRICAL ENGINEERING 1, 286-299Memristor-based hardware accelerators for artificial intelligence (opens in a new tab)
- Science (T1)Programming Memristor Arrays with Arbitrarily High Precision for Analog Computing (opens in a new tab)
- ACS NANO 18, 41, 28131-28141Reliable and Robust Two-Dimensional Perovskite Memristors for Flexible-Resistive Random-Access Memory Array (opens in a new tab)
- NANO FUTURES 8 012001Roadmap for unconventional computing with nanotechnology (opens in a new tab)
- APL MATERIALSRoadmap to neuromorphic computing with emerging technologies (opens in a new tab)
20239 papers
- NANO CONVERGENCE 615Filament-free memristors for computing (opens in a new tab)
- NATURE ELECTRONICS 6, 491-505Imperfection-enabled memristive switching in van der Waals materials (opens in a new tab)
- Nature (T1)Memristor devices denoised to achieve thousands of conductance levels (opens in a new tab)
- ADVANCED MATERIALSNeuromorphic Engineering: From Materials to Device Application
- NEUROMORPHIC COMPUTING AND ENGINEERING 3, 024001Parallel synaptic design of ferroelectric tunnel junctions for neuromorphic computing (opens in a new tab)
- ADVANCED ELECTRONIC MATERIALS 9, 2200816Protons: Critical Species for Resistive Switching in Interface‐Type Memristors (opens in a new tab)
- ACS NANO 17, 11994Recent advances and future prospects for memristive materials, devices, and systems (opens in a new tab)
- IEEE ELECTRON DEVICES MAGAZINESpecial Issue on Neuromorphic Computing
- Nature (T1)Thousands of conductance levels in memristors integrated on CMOS (opens in a new tab)
Where alumni went5 listed
Apply to USCFall 2027
Computer Science PhD (Viterbi)
- Round
- Single round (Dec 15)
- Opens
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- English
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- Fee
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Confirmed on the program page.
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