DAIS Qual Time & Reading List (Fall 2022)

The written exam of the DAIS Qual Exam in Fall 2022 will be held on Monday, Oct. 3, 2022, at 1pm-5pm in Siebel Center room 3401.

This reading list consists of  multiple topic sections, each containing 2-3 papers.  The questions in the written exam will be based on the papers listed here, with 1-2 questions related to each section. That is, if a section has two papers, you can usually expect to see one question related to the section in the qual exam, while if a section has three papers, you can usually expect to see two questions related to the section.

Section 1

Section 2

Section 3

  • Ziad Obermeyer, Brian Powers, Christine Vogeli, and Sendhil Mullainathan. Dissecting racial bias in an algorithm used to manage the health of populations. Science, 366(6464):447–453, 2019. (DOI: 10.1126/science.aax2342)
  • Rediet Abebe, Solon Barocas, Jon Kleinberg, Karen Levy, Manish Raghavan, and David G. Robinson. Roles for computing in social change. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, FAT* ’20, pages 252–260, New York, NY, USA, 2020. Association for Computing Machinery. (https://dl.acm.org/doi/abs/10.1145/3351095.3372871) 

Section 4

  • Tamari, Ronen and Shani, Chen and Hope, Tom and Petruck, Miriam R L and Abend, Omri and Shahaf, Dafna. 2020. {L}anguage (Re)modelling: {T}owards Embodied Language Understanding. ACL2020. https://aclanthology.org/2020.acl-main.559
  • Kolluru, Keshav and Mohammed, Muqeeth and Mittal, Shubham and Chakrabarti, Soumen and Mausam. 2022. Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction. ACL2022. https://aclanthology.org/2022.acl-long.179
  • Sundriyal, Megha and Malhotra, Ganeshan and Akhtar, Md Shad and Sengupta, Shubhashis and Fano, Andrew and Chakraborty, Tanmoy. 2022. Document Retrieval and Claim Verification to Mitigate {COVID}-19 Misinformation. ACL2022. https://aclanthology.org/2022.constraint-1.8

Section 5

Section 6

  • Fu, Tianfan, Cao Xiao, Cheng Qian, Lucas M. Glass, and Jimeng Sun. 2021. “Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery.” In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 404–14. KDD ’21. https://dl.acm.org/doi/pdf/10.1145/3447548.3467286
  • Fu, Tianfan, Kexin Huang, Cao Xiao, Lucas M. Glass, and Jimeng Sun. 2022. “HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data.” Cell Patterns and also at arXiv [cs.CY]. arXiv. http://arxiv.org/abs/2102.04252 .
  • Huang, Kexin, Cao Xiao, Lucas M. Glass, and Jimeng Sun. 2020. “MolTrans: Molecular Interaction Transformer for Drug–target Interaction Prediction.” Bioinformatics , October. https://doi.org/10.1093/bioinformatics/btaa880.

Section 7

  • Chockchowwat, Supawit, Chaitanya Sood, and Yongjoo Park. “Airphant: Cloud-oriented Document Indexing.” 2022 IEEE 38th International Conference on Data Engineering (ICDE). IEEE, 2022. https://arxiv.org/pdf/2112.13323.pdf
  • Chockchowwat, Supawit, Wenjie Liu, and Yongjoo Park. “Automatically Finding Optimal Index Structure.” arXiv preprint arXiv:2208.03823 (2022). https://arxiv.org/pdf/2208.03823.pdf

Section 8

Section 9

Session 10