Information-Theoretic Privacy in Smart Metering Systems Using Cascaded Rechargeable Batteries. - Yuhan Helena Liu; Si-Hyeon Lee; Ashish Khisti (IEEE Signal Process. Lett., 2017)

Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules. - Yuhan Helena Liu; Arna Ghosh; Blake A. Richards; Eric Shea-Brown; Guillaume Lajoie (NeurIPS, 2022)

Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators. - Yuhan Helena Liu; Stephen Smith; Stefan Mihalas; Eric Shea-Brown; Uygar Sümbül (NeurIPS, 2022)

How gradient estimator variance and bias impact learning in neural networks. - Arna Ghosh; Yuhan Helena Liu; Guillaume Lajoie; Konrad P. Körding; Blake Aaron Richards (ICLR, 2023)

Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs. - James Hazelden; Yuhan Helena Liu; Eli Shlizerman; Eric Shea-Brown (CoRR, 2023)

How connectivity structure shapes rich and lazy learning in neural circuits. - Yuhan Helena Liu; Aristide Baratin; Jonathan Cornford; Stefan Mihalas; Eric Shea-Brown; Guillaume Lajoie (ICLR, 2024)

How Initial Connectivity Shapes Biologically Plausible Learning in Recurrent Neural Networks. - Weixuan Liu; Xinyue Zhang; Yuhan Helena Liu (CoRR, 2024)

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example. - Yuhan Helena Liu; Guangyu Robert Yang; Christopher J. Cueva (CoRR, 2025)