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Reading Group

Tentative schedule

Table of contents

  1. Week1 (Aug 22)
  2. Week2 (Aug 29)
  3. Week3 (Sep 5)
  4. Week4 (Sep 12)
  5. Week5 (Sep 19)
  6. Week6 (Sep 26)
  7. Week7 (Oct 3)
  8. Week8 (Oct 10)
  9. Week9 (Oct 17)
  10. Week10 (Oct 24)
  11. Week11 (Oct 31)
  12. Week12 (Nov 7)
  13. Week13 (Nov 14)
  14. Week14 (Nov 21)
  15. Week15 (Nov 28)
  16. Week16 (Dec 5)
  17. Week17 (Dec 12)

Week1 (Aug 22)

  • Schedule meeting time

Week2 (Aug 29)

  • Discuss which papers to read this semester

Week3 (Sep 5)

  • No meeting - Labor Day

Week4 (Sep 12)

  • Canceled due to CDC meeting

Week5 (Sep 19)

  • Presenter: Hankyu Jang

Li Y, He K, Bindel D, Hopcroft JE. Uncovering the small community structure in large networks: A local spectral approach. WWW 2015 Paper link

Week6 (Sep 26)

  • Presenter: Prof. Bijaya Adhikari

Sambaturu P, Adhikari B, Prakash BA, Venkatramanan S, Vullikanti A. Designing effective and practical interventions to contain epidemics. In Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems 2020 May 5 (pp. 1187-1195). Paper link

Week7 (Oct 3)

  • Presenter: Jeff Keithley

Herrera, J. L., Srinivasan, R., Brownstein, J. S., Galvani, A. P., & Meyers, L. A. (2016). Disease Surveillance on Complex Social Networks. PLOS Computational Biology, 12(7), e1004928. https://doi.org/10.1371/journal.pcbi.1004928 Paper link

Week8 (Oct 10)

  • Presenter: Akash Choudhuri

Jha K, Zhang A. Continual knowledge infusion into pre-trained biomedical language models. Bioinformatics. 2022 Jan 15;38(2):494-502. Paper link

Week9 (Oct 17)

  • Presenter: Yongjian Zhong

Chen Q, Wang Y, Wang Y, Yang J, Lin Z. Optimization-induced graph implicit nonlinear diffusion. InInternational Conference on Machine Learning 2022 Jun 28 (pp. 3648-3661). PMLR. Paper link

Week10 (Oct 24)

  • Presenter: Weiyu Huang

Xu C, Moseley B. Learning-augmented algorithms for online steiner tree. InProceedings of the AAAI Conference on Artificial Intelligence 2022 Jun 28 (Vol. 36, No. 8, pp. 8744-8752). Paper link

Week11 (Oct 31)

  • Presenter: Weiyu Huang (continued)

Xu C, Moseley B. Learning-augmented algorithms for online steiner tree. InProceedings of the AAAI Conference on Artificial Intelligence 2022 Jun 28 (Vol. 36, No. 8, pp. 8744-8752). Paper link

Week12 (Nov 7)

  • Presenter: Xiang Liu

Y. Cheng, J. K. Yella and A. G. Jegga, “Triangle-Based Tripartite Graph Clustering,” 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020, pp. 1769-1776, doi: 10.1109/BIBM49941.2020.9313324 Paper link

Week13 (Nov 14)

  • Paper review discussion (SDM)

Week14 (Nov 21)

  • No meeting (Fall break)

Week15 (Nov 28)

  • Presenter: Lucas Zach-Ryan

Kumar R, Purohit M, Svitkina Z. Improving online algorithms via ML predictions. InProceedings of the 32nd International Conference on Neural Information Processing Systems 2018 Dec 3 (pp. 9684-9693). Paper link

Week16 (Dec 5)

  • Presenter: Hieu Vu

Massaroli S, Poli M, Park J, Yamashita A, Asama H. Dissecting neural odes. Advances in Neural Information Processing Systems. 2020 Paper link

Week17 (Dec 12)

  • No meeting (Final exam week)