“How small a thought it takes to fill a whole life!” — Ludwig Wittgenstein

Recent Publications

  • [C9] COLLIE: Systematic construction of constrained text generation tasks.
    Shunyu Yao*, Howard Chen*, Austin W. Hanjie*, Runzhe Yang*, Karthik Narasimhan.
    In proceedings of the 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 2024.
    [ Natural Language Processing] [ Paper | Bib Code ]

  • [J2] Cyclic structure with cellular precision in a vertebrate sensorimotor neural circuit.
    Runzhe Yang, Ashwin Vishwanathan, Jingpeng Wu, Nico Kemnitz, Dodam Ih, Nicholas Turner, Kisuk Lee, Ignacio Tartavull, William M. Silversmith, Chris S. Jordan, Celia David, Doug Bland, Amy Sterling, Mark S. Goldman, Emre R.F. Aksay, H. Sebastian Seung, the Eyewirers. Current Biology, Volume 33, Issue 11, June 2023
    [ Neuroscience] [ Paper | Bib ]

  • [M10] Network statistics of the whole-brain connectome of Drosophila.
    Albert Lin*, Runzhe Yang*, Sven Dorkenwald, Arie Matsliah, Amy R. Sterling, Philipp Schlegel, Szi-chieh Yu, Claire E. McKellar, Marta Costa, Katharina Eichler, Alexander Shakeel Bates, Nils Eckstein, Jan Funke, Gregory S. X. E. Jefferis, Mala Murthy.
    July 2023.
    [ Neuroscience] [ Paper | Bib Data ]

  • [M9] Neuronal wiring diagram of an adult brain.
    Sven Dorkenwald, Arie Matsliah, Amy R Sterling, Philipp Schlegel, Szi-chieh Yu, Claire E. McKellar, Albert Lin, Marta Costa, Katharina Eichler, Yijie Yin, Will Silversmith, Casey Schneider-Mizell, Chris S. Jordan, Derrick Brittain, Akhilesh Halageri, Kai Kuehner, Oluwaseun Ogedengbe, Ryan Morey, Jay Gager, Krzysztof Kruk, Eric Perlman, Runzhe Yang, David Deutsch, Doug Bland, Marissa Sorek, Ran Lu, Thomas Macrina, Kisuk Lee, J. Alexander Bae,, Shang Mu, Barak Nehoran, Eric Mitchell, Sergiy Popovych, Jingpeng Wu, Zhen Jia, Manuel Castro, Nico Kemnitz, Dodam Ih, Alexander Shakeel Bates, Nils Eckstein, Jan Funke, Forrest Collman, Davi D. Bock, Gregory S.X.E. Jefferis, H. Sebastian Seung*, Mala Murthy*, the FlyWire Consortium.
    July 2023.
    [ Neuroscience] [ bioRxiv | Bib | Data Explorer ]

  • [A3] Neuronal circuits for robust online fixed-Point detection.
    Runzhe Yang, David Lipshutz, Tiberiu Tesileanu, Johannes Friedrich, Dmitri Chklovskii.
    Selected poster at the Computational and Systems Neuroscience (COSYNE 2023), Montreal, Canada, March 2023.
    [ Machine Learning] [ Abstract | Poster]

  • [C8] DataMUX: Data multiplexing for neural networks.
    Vishvak Murahari, Carlos Jimenez, Runzhe Yang, Karthik Narasimhan.
    In proceedings of the 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, November 2022.
    [ Machine Learning] [ Paper | Bib Code | Bell Labs Prize ]

  • [J1] Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity.
    Nicholas Turner*, Thomas Macrina*, Alexander Bae*, Runzhe Yang*, Alyssa Wilson*, Casey Schneider-Mizell*, Kisuk Lee*, Ran Lu*, Jingpeng Wu*, Agnes Bodor*, Adam Bleckert*, Derrick Brittain*, Emmanouil Froudarakis*, Sven Dorkenwald*, Forrest Collman*, Nico Kemnitz* (equal contribution), …, Sebastian Seung. Cell, Volume 185, Issue 6, March 2022
    [ Neuroscience] [ Paper | Bib | MICrONS Explorer ]

  • [C7] Improving dialog systems for negotiation with personality modeling.
    Runzhe Yang*, Jingxiao Chen* (equal contribution) and Karthik Narasimhan.
    In proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021), Bangkok, Thailand, August 2021.
    [ Natural Language Processing] [ Paper | Bib Code ]

  • [M8] Functional connectomics spanning multiple areas of mouse visual cortex.
    MICrONS Consortium et al. July 2021.
    [ Neuroscience] [ bioRxiv | Bib | News ]

  • [A2] Unsupervised feature discovery by neural networks with disynaptic recurrent inhibition.
    Runzhe Yang, Kyle Luther, H. Sebastian Seung
    Selected talk at the From Neuroscience to Artificially Intelligent Systems conference (NAISys 2020), Online, November 2020.
    [ Machine Learning] [ Neuroscience] [ Abstract | Talk ]

  • [M7] Modularity and neural coding from a brainstem synaptic wiring diagram.
    Ashwin Vishwanathan, Alexandro D. Ramirez*, Jingpeng Wu* (equal contribution), Alex Sood, Runzhe Yang, Nico Kemnitz, Dodam Ih, Nicholas Turner, Kisuk Lee, Ignacio Tartavull, William M. Silversmith, Chris S. Jordan, Celia David, Doug Bland, Mark S. Goldman, Emre R. F. Aksay, H. Sebastian Seung, the EyeWirers. October 2020.
    [ Neuroscience] [ bioRxiv | Bib ]

  • [M6] Multiscale and multimodal reconstruction of cortical structure and function.
    Nicholas L. Turner*, Thomas Macrina*, J. Alexander Bae*, Runzhe Yang*, Alyssa M. Wilson*, Casey Schneider-Mizell*, Kisuk Lee*, Ran Lu*, Jingpeng Wu*, Agnes L. Bodor*, Adam A. Bleckert*, Derrick Brittain*, Emmanouil Froudarakis*, Sven Dorkenwald*, Forrest Collman*, Nico Kemnitz* (equal contribution), Dodam Ih, William M. Silversmith, Jonathan Zung, Aleksandar Zlateski, Ignacio Tartavull, Szi-chieh Yu, Sergiy Popovych, Shang Mu, William Wong, Chris S. Jordan, Manuel Castro, JoAnn Buchanan, Daniel J. Bumbarger, Marc Takeno, Russel Torres, Gayathri Mahalingam, Leila Elabbady, Yang Li, Erick Cobos, Pengcheng Zhou, Shelby Suckow, Lynne Becker, Liam Paninski, Franck Polleux, Jacob Reimer, Andreas S. Tolias, R. Clay Reid, Nuno Maçarico da Costa, H. Sebastian Seung. October 2020.
    [ Neuroscience] [ bioRxiv | Bib Code ]

  • [M5] Generating strategic dialogue for negotiation with theory of mind.
    Runzhe Yang*, Jingxiao Chen* (equal contribution) and Karthik Narasimhan. October 2020.
    [ Natural Language Processing] [ ArXiv | Bib ]

  • [C6] A Generalized algorithm for multi-objective reinforcement learning and policy adaptation.
    Runzhe Yang, Xingyuan Sun and Karthik Narasimhan.
    In proceedings of the 33rd Annual Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, December 2019.
    [ Machine Learning] [ Paper | Bib | Errota | Appendix | Code | Poster ]

  • [C5] Unsupervised learning by a “softened” correlation game: duality and convergence.
    Runzhe Yang, with Kyle Luther and Sebastian Seung (theoretical paper, invited).
    In proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers (ACSSC 2019), Pacific Grove, USA, November 2019 .
    [ Machine Learning] [ Paper | Bib ]

  • [C4] Imitation refinement for x-ray diffraction signal processing.
    Junwen Bai, Zihang Lai, Runzhe Yang, Yexiang Xue, John Gregoire and Carla Gomes.
    In proceedings of the 2019 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), Brighton, UK, May 2019.
    [ Machine Learning] [ Paper | Bib ]

  • [M4] A generalized algorithm for multi-objective reinforcement learning and policy adaptation.
    Runzhe Yang, Xingyuan Sun and Karthik Narasimhan. August 2019.
    [ Machine Learning] [ ArXiv | Bib | Code ]

  • [A1] Mitochondrial size gradients in cortical neurons suggested by 3D electron microscopy.
    Nicholas L. Turner, Runzhe Yang, Agata Foryciarz, Kisuk Lee, William Silversmith, William Wong, Jingpeng Wu, Sven Dorkenwald, T. L. Lewis, Yusuke Hirabayashi, Franck Polleux, Nuno da Costa, R. Clay Reid, H. Sebastian Seung
    Poster presentation at the conference of Society for Neuroscience (SfN 2018), San Diego, CA, USA, November 2018.
    [ Neuroscience] [ Abstract | Poster ]

  • [D1] Deep multi-objective reinforcement learning and its application in task-oriented dialogue systems.
    Runzhe Yang, 2018 Excellent Bachelor Thesis of Shanghai Jiao Tong University (top 1%)
    [ Machine Learning] [ Natural Language Processing] [ Thesis | Bib | Code]

  • [M3] Imitation refinement.
    Runzhe Yang*, Junwen Bai* (equal authorship), Yexiang Xue, John Gregoire and Carla Gomes. May 2018.
    [ Machine Learning] [ ArXiv | Bib | Code]

  • [M2] Multi-armed image segmentation.
    Brendan Rappazzo, Guillaume Perez, Runzhe Yang, Olivia Graham, Drew Harvell and Carla Gomes. Feburary 2018.
    [ Computer Vision]

  • [M1] Pedagogical value-aligned crowdsourcing.
    Runzhe Yang, Yexiang Xue and Carla Gomes. December 2017.
    [ Crowdsourcing] [ Paper1 | Paper2 | Appendix | Code]

  • [C3] Affordable on-line dialogue policy learning.
    Runzhe Yang*, Cheng Chang* (equal authorship), Lu Chen, Xiang Zhou and Kai Yu.
    In proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Copenhagen, Denmark, September 2017.
    [ Natural Language Processing] [ Paper | Bib | Appendix ]

  • [C2] Agent-aware dropout DQN for safe and efficient on-line dialogue policy learning.
    Lu Chen, Xiang Zhou, Cheng Chang, Runzhe Yang and Kai Yu.
    In proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Copenhagen, Denmark, September 2017.
    [ Natural Language Processing] [ Paper | Bib | Appendix ]

  • [C1] On-line dialogue policy learning with companion teaching.
    Lu Chen, Runzhe Yang, Cheng Chang, Zihao Ye, Xiang Zhou and Kai Yu.
    In proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017), Valencia, Spain, April 2017.
    [ Natural Language Processing] [ Paper | Bib | Poster ]