HKU IMSC Lab

HKU In-memory/sensor Computing Lab (PI: Dr. Zhongrui Wang) at HKU EEE works on bio-inspired in-memory and in-sensor computing with emerging devices, with a focus on machine learning accelerators, neuromorphic hardware, and scientific computing. We tackle the research from device, chip, and hardware-software co-design.

PhD, Postdoc, and RA openings are available. Candidates with interest on machine learning accelerator, neuromorphic hardware, and AI for science are welcome to email your CV to zrwang@eee.hku.hk.

Work Highlights

Echo state graph neural networks with analogue random resistor arrays

Nature Machine Intelligence 5, 104 (2023)

An organic electrochemical transistor for multi-modal sensing, memory and processing

Nature Electronics 6, 281 (2023)

Structural plasticity based hydrogel optical neural network

InfoMat 5, e12399 (2023)

Wearable In-sensor reservoir computing using optoelectronic polymers with through-space charge-transport characteristics for multi-task learning

Nature Communications 14, 468 (2023)


Resistive switching for computing

Nature Review Materials 5, 173 (2020)

Ag threshold switching and synapses

Nature Materials 16, 101 (2017)

Memristive self-organizing maps

Nature Electronics 1, 137 (2018)


Memristive deep-Q reinforcement learning

Nature Electronics 2, 115 (2019)

Memristive Conv2D and ConvLSTM nets

Nature Machine Intelligence 1, 434 (2019)

Capacitive neural networks

Nature Communications 9, 3208 (2018)