<?xml version="1.0"?>
<dblpperson name="Yuhan Helena Liu" pid="195/5396" n="13">
<person key="homepages/195/5396" mdate="2017-02-28">
<author pid="195/5396">Yuhan Helena Liu</author>
</person>
<r><inproceedings key="conf/icml/LiuYC25" mdate="2026-02-04">
<author pid="195/5396">Yuhan Helena Liu</author>
<author pid="176/8238">Guangyu Robert Yang</author>
<author pid="207/7478">Christopher J. Cueva</author>
<title>Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example.</title>
<year>2025</year>
<booktitle>ICML</booktitle>
<ee type="oa">https://proceedings.mlr.press/v267/liu25cl.html</ee>
<ee type="oa">https://openreview.net/forum?id=o877aFqlvK</ee>
<crossref>conf/icml/2025</crossref>
<url>db/conf/icml/icml2025.html#LiuYC25</url>
</inproceedings>
</r>
<r><article publtype="informal" key="journals/corr/abs-2506-06904" mdate="2025-07-07">
<author pid="195/5396">Yuhan Helena Liu</author>
<author pid="176/8238">Guangyu Robert Yang</author>
<author pid="207/7478">Christopher J. Cueva</author>
<title>Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example.</title>
<year>2025</year>
<month>June</month>
<volume>abs/2506.06904</volume>
<journal>CoRR</journal>
<ee type="oa">https://doi.org/10.48550/arXiv.2506.06904</ee>
<url>db/journals/corr/corr2506.html#abs-2506-06904</url>
<stream>streams/journals/corr</stream>
</article>
</r>
<r><article publtype="informal" key="journals/corr/abs-2509-04661" mdate="2025-10-12">
<author pid="195/5396">Yuhan Helena Liu</author>
<author pid="264/3755">Victor Geadah</author>
<author pid="06/3460">Jonathan W. Pillow</author>
<title>Flexible inference of learning rules from de novo learning data using neural networks.</title>
<year>2025</year>
<month>September</month>
<volume>abs/2509.04661</volume>
<journal>CoRR</journal>
<ee type="oa">https://doi.org/10.48550/arXiv.2509.04661</ee>
<url>db/journals/corr/corr2509.html#abs-2509-04661</url>
<stream>streams/journals/corr</stream>
</article>
</r>
<r><inproceedings key="conf/iclr/LiuBCMSL24" mdate="2024-08-07">
<author pid="195/5396">Yuhan Helena Liu</author>
<author pid="213/7350">Aristide Baratin</author>
<author pid="295/5148">Jonathan Cornford</author>
<author pid="90/7228">Stefan Mihalas</author>
<author pid="s/EricSheaBrown">Eric Shea-Brown</author>
<author pid="31/10384">Guillaume Lajoie</author>
<title>How connectivity structure shapes rich and lazy learning in neural circuits.</title>
<year>2024</year>
<booktitle>ICLR</booktitle>
<ee type="oa">https://openreview.net/forum?id=slSmYGc8ee</ee>
<crossref>conf/iclr/2024</crossref>
<url>db/conf/iclr/iclr2024.html#LiuBCMSL24</url>
</inproceedings>
</r>
<r><article publtype="informal" key="journals/corr/abs-2410-11164" mdate="2024-11-22">
<author pid="136/0798">Weixuan Liu</author>
<author pid="142/3651">Xinyue Zhang</author>
<author pid="195/5396">Yuhan Helena Liu</author>
<title>How Initial Connectivity Shapes Biologically Plausible Learning in Recurrent Neural Networks.</title>
<year>2024</year>
<volume>abs/2410.11164</volume>
<journal>CoRR</journal>
<ee type="oa">https://doi.org/10.48550/arXiv.2410.11164</ee>
<url>db/journals/corr/corr2410.html#abs-2410-11164</url>
<stream>streams/journals/corr</stream>
</article>
</r>
<r><inproceedings key="conf/iclr/GhoshLLKR23" mdate="2024-07-24">
<author pid="190/7223">Arna Ghosh</author>
<author pid="195/5396">Yuhan Helena Liu</author>
<author pid="31/10384">Guillaume Lajoie</author>
<author pid="93/2724">Konrad P. K&#246;rding</author>
<author pid="70/10850">Blake Aaron Richards</author>
<title>How gradient estimator variance and bias impact learning in neural networks.</title>
<year>2023</year>
<booktitle>ICLR</booktitle>
<ee type="oa">https://openreview.net/forum?id=EBC60mxBwyw</ee>
<crossref>conf/iclr/2023</crossref>
<url>db/conf/iclr/iclr2023.html#GhoshLLKR23</url>
</inproceedings>
</r>
<r><article publtype="informal" key="journals/corr/abs-2310-08513" mdate="2023-10-25">
<author pid="195/5396">Yuhan Helena Liu</author>
<author pid="213/7350">Aristide Baratin</author>
<author pid="295/5148">Jonathan Cornford</author>
<author pid="90/7228">Stefan Mihalas</author>
<author pid="s/EricSheaBrown">Eric Shea-Brown</author>
<author pid="31/10384">Guillaume Lajoie</author>
<title>How connectivity structure shapes rich and lazy learning in neural circuits.</title>
<year>2023</year>
<volume>abs/2310.08513</volume>
<journal>CoRR</journal>
<ee type="oa">https://doi.org/10.48550/arXiv.2310.08513</ee>
<url>db/journals/corr/corr2310.html#abs-2310-08513</url>
</article>
</r>
<r><article publtype="informal" key="journals/corr/abs-2311-10869" mdate="2023-11-23">
<author pid="361/2364">James Hazelden</author>
<author pid="195/5396">Yuhan Helena Liu</author>
<author pid="00/9501">Eli Shlizerman</author>
<author pid="s/EricSheaBrown">Eric Shea-Brown</author>
<title>Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs.</title>
<year>2023</year>
<volume>abs/2311.10869</volume>
<journal>CoRR</journal>
<ee type="oa">https://doi.org/10.48550/arXiv.2311.10869</ee>
<url>db/journals/corr/corr2311.html#abs-2311-10869</url>
</article>
</r>
<r><inproceedings key="conf/nips/LiuGRSL22" mdate="2024-01-08">
<author pid="195/5396">Yuhan Helena Liu</author>
<author pid="190/7223">Arna Ghosh</author>
<author pid="70/10850">Blake A. Richards</author>
<author pid="s/EricSheaBrown">Eric Shea-Brown</author>
<author pid="31/10384">Guillaume Lajoie</author>
<title>Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules.</title>
<year>2022</year>
<crossref>conf/nips/2022</crossref>
<booktitle>NeurIPS</booktitle>
<ee type="oa">http://papers.nips.cc/paper_files/paper/2022/hash/9226f8122feb9c229c1efd9270ce7021-Abstract-Conference.html</ee>
<url>db/conf/nips/neurips2022.html#LiuGRSL22</url>
</inproceedings>
</r>
<r><inproceedings key="conf/nips/LiuSMSS22" mdate="2024-01-08">
<author pid="195/5396">Yuhan Helena Liu</author>
<author pid="76/1953">Stephen Smith</author>
<author pid="90/7228">Stefan Mihalas</author>
<author pid="s/EricSheaBrown">Eric Shea-Brown</author>
<author pid="30/8374">Uygar S&#252;mb&#252;l</author>
<title>Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators.</title>
<year>2022</year>
<crossref>conf/nips/2022</crossref>
<booktitle>NeurIPS</booktitle>
<ee type="oa">http://papers.nips.cc/paper_files/paper/2022/hash/6fca3ed3c54ffeae947ae668a0841ab2-Abstract-Conference.html</ee>
<url>db/conf/nips/neurips2022.html#LiuSMSS22</url>
</inproceedings>
</r>
<r><article publtype="informal" key="journals/corr/abs-2206-00823" mdate="2022-06-13">
<author pid="195/5396">Yuhan Helena Liu</author>
<author pid="190/7223">Arna Ghosh</author>
<author pid="70/10850">Blake A. Richards</author>
<author pid="s/EricSheaBrown">Eric Shea-Brown</author>
<author pid="31/10384">Guillaume Lajoie</author>
<title>Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules.</title>
<year>2022</year>
<volume>abs/2206.00823</volume>
<journal>CoRR</journal>
<ee type="oa">https://doi.org/10.48550/arXiv.2206.00823</ee>
<url>db/journals/corr/corr2206.html#abs-2206-00823</url>
</article>
</r>
<r><article publtype="informal" key="journals/corr/abs-2206-01338" mdate="2022-06-15">
<author pid="195/5396">Yuhan Helena Liu</author>
<author pid="76/1953">Stephen Smith</author>
<author pid="90/7228">Stefan Mihalas</author>
<author pid="s/EricSheaBrown">Eric Shea-Brown</author>
<author pid="30/8374">Uygar S&#252;mb&#252;l</author>
<title>Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators.</title>
<year>2022</year>
<volume>abs/2206.01338</volume>
<journal>CoRR</journal>
<ee type="oa">https://doi.org/10.48550/arXiv.2206.01338</ee>
<url>db/journals/corr/corr2206.html#abs-2206-01338</url>
</article>
</r>
<r><article key="journals/spl/LiuLK17" mdate="2026-02-01">
<author pid="195/5396">Yuhan Helena Liu</author>
<author orcid="0000-0002-4362-5970" pid="38/7864">Si-Hyeon Lee</author>
<author orcid="0000-0002-6494-1948" pid="84/5679">Ashish Khisti</author>
<title>Information-Theoretic Privacy in Smart Metering Systems Using Cascaded Rechargeable Batteries.</title>
<pages>314-318</pages>
<year>2017</year>
<volume>24</volume>
<journal>IEEE Signal Process. Lett.</journal>
<number>3</number>
<ee>https://doi.org/10.1109/LSP.2017.2656385</ee>
<url>db/journals/spl/spl24.html#LiuLK17</url>
</article>
</r>
<coauthors n="20" nc="4">
<co c="0"><na f="b/Baratin:Aristide" pid="213/7350">Aristide Baratin</na></co>
<co c="0"><na f="c/Cornford:Jonathan" pid="295/5148">Jonathan Cornford</na></co>
<co c="1"><na f="c/Cueva:Christopher_J=" pid="207/7478">Christopher J. Cueva</na></co>
<co c="0"><na f="g/Geadah:Victor" pid="264/3755">Victor Geadah</na></co>
<co c="0"><na f="g/Ghosh:Arna" pid="190/7223">Arna Ghosh</na></co>
<co c="0"><na f="h/Hazelden:James" pid="361/2364">James Hazelden</na></co>
<co c="3"><na f="k/Khisti:Ashish" pid="84/5679">Ashish Khisti</na></co>
<co c="0" n="2"><na f="k/Kording:Konrad_P=" pid="93/2724">Konrad P. Kording</na><na>Konrad P. K&#246;rding</na></co>
<co c="0"><na f="l/Lajoie:Guillaume" pid="31/10384">Guillaume Lajoie</na></co>
<co c="3"><na f="l/Lee:Si=Hyeon" pid="38/7864">Si-Hyeon Lee</na></co>
<co c="2"><na f="l/Liu:Weixuan" pid="136/0798">Weixuan Liu</na></co>
<co c="0"><na f="m/Mihalas:Stefan" pid="90/7228">Stefan Mihalas</na></co>
<co c="0"><na f="p/Pillow:Jonathan_W=" pid="06/3460">Jonathan W. Pillow</na></co>
<co c="0" n="2"><na f="r/Richards:Blake_A=" pid="70/10850">Blake A. Richards</na><na>Blake Aaron Richards</na></co>
<co c="0"><na f="s/Shea=Brown:Eric" pid="s/EricSheaBrown">Eric Shea-Brown</na></co>
<co c="0"><na f="s/Shlizerman:Eli" pid="00/9501">Eli Shlizerman</na></co>
<co c="0"><na f="s/Smith:Stephen" pid="76/1953">Stephen Smith</na></co>
<co c="0"><na f="s/S=uuml=mb=uuml=l:Uygar" pid="30/8374">Uygar S&#252;mb&#252;l</na></co>
<co c="1" n="2"><na f="y/Yang:Guangyu_R=" pid="176/8238">Guangyu R. Yang</na><na>Guangyu Robert Yang</na></co>
<co c="2"><na f="z/Zhang:Xinyue" pid="142/3651">Xinyue Zhang</na></co>
</coauthors>
</dblpperson>

