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)