Difference between revisions of "CSE 7300 Research Seminar"

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* '''Theme: AI for Health'''
 
* '''Instructor''': [http://www.cse.wustl.edu/~lu Prof. Chenyang Lu]
 
* '''Instructor''': [http://www.cse.wustl.edu/~lu Prof. Chenyang Lu]
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* '''Semester''': Fall 2020
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* '''Semester''': '''Spring 2025'''
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* '''Time''': Thursday at 4pm-4:50pm
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* '''Time''': Wednesday at 10 am
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* '''Location''': Virtual
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* '''Location''': McKelvey 1020
 +
* '''[http://www.cse.wustl.edu/~lu/talks/seminar_guidelines.pdf Guidelines]''':  
 +
* '''Recommended sources:''' NeurIPS ([http://nips.cc/]), ICML ([http://icml.cc/]), AAAI ([http://www.aaai.org/]), SIGKDD ([http://www.kdd.org/]), IJCAI ([http://www.ijcai.org/]), IMWUT ([http://dl.acm.org/journal/imwut]), HEALTH ([http://dl.acm.org/journal/health]), Digital Medicine ([http://www.nature.com/npjdigitalmed/]), Lancet Digital Health ([https://www.thelancet.com/journals/landig/issues#decade=loi_decade_201]), NEJM AI ([https://ai.nejm.org/])
  
 +
==Presentation Schedule==
  
−
=== ---ML for Health ---===
+
=== ---Jan 22 ---===
 +
Ziqi
  
−
* NeurIPS ([http://nips.cc/])
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Lin, Z., Trivedi, S., & Sun, J. (2023). Generating with confidence: Uncertainty quantification for black-box large language models.
−
* ICML ([http://icml.cc/])
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arXiv preprint arXiv:2305.19187.
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* AAAI ([http://www.aaai.org/])
 
−
* SIGKDD ([http://www.kdd.org/])
 
−
* IJCAI ([http://www.ijcai.org/])
 
−
* IMWUT ([http://dl.acm.org/journal/imwut])
 
−
* Digital Medicine ([http://www.nature.com/npjdigitalmed/])
 
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* HEALTH ([http://dl.acm.org/journal/health])
 
−
* Lancet Digital Health ([https://www.thelancet.com/journals/landig/issues#decade=loi_decade_201])
 
  
−
=== ---Cyber Physical Systems ---===
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=== ---Jan 29 ---===
 +
Daoyi
  
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* SenSys ([http://sensys.acm.org])
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=== ---Feb 5 ---===
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* IPSN ([http://ipsn.acm.org])
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Zichen (Lab Meeting)
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* RTSS ([http://www.rtss.org/])
 
−
* RTAS ([http://www.rtas.org/])
 
−
* ICCPS ([http://www.iccps.org])
 
−
* MobiCom ([https://sigmobile.org/mobicom/2019/])
 
−
* MobiSys ([http://www.sigmobile.org/mobisys/2019/])
 
−
* Sigcomm ([http://conferences.sigcomm.org/sigcomm/2019/])
 
−
* NSDI ([https://www.usenix.org/conference/nsdi19])
 
−
* SOSP ([https://www.sigops.org/])
 
−
* OSDI ([https://www.usenix.org/conference/osdi18/])
 
  
−
=== ---Oct 1 ---===
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=== ---Feb 12 ---===
 +
Cancelled
  
−
Jingwen
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=== ---Feb 19 ---===
 +
Ruiqi & Peiqi
  
−
Paper: Goldstein, Orpaz, et al. "Target-Focused Feature Selection Using Uncertainty Measurements in Healthcare Data." ACM Transactions on Computing for Healthcare 1.3 (2020): 1-17. [https://dl.acm.org/doi/10.1145/3383685]
+
DeepSeek Series
  
−
=== ---Oct 8 ---===
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=== ---Feb 26 ---===
−
 
+
Ben
−
Ruixuan
 
−
 
 
−
Wiens, Jenna, John Guttag, and Eric Horvitz. "A study in transfer learning: leveraging data from multiple hospitals to enhance hospital-specific predictions." Journal of the American Medical Informatics Association 21.4 (2014): 699-706.
 
−
[https://academic.oup.com/jamia/article/21/4/699/761441]
 
−
 
 
−
=== ---Oct 15 ---===
 
−
 
 
−
Hanyang
 
−
 
 
−
Bianchi, Filippo Maria, et al. "Learning representations of multivariate time series with missing data." Pattern Recognition 96 (2019): 106973.https://arxiv.org/abs/1805.03473
 
−
 
 
−
AAAI’20, A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs. https://arxiv.org/abs/2002.12359
 
−
 
 
−
=== ---Oct 22 ---===
 
−
 
 
−
Cancel (SIGMETRICS/IoTDI/RTAS)
 
−
 
 
−
=== ---Oct 29 ---===
 
−
 
 
−
Cancel
 
−
 
 
−
=== ---Nov 5---===
 
−
 
 
−
Liang
 
−
 
 
−
Paper: Mangaokar, Neal, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, and Bimal Viswanath. "Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models." [https://people.cs.vt.edu/vbimal/publications/jekyll-eurosp20.pdf]
 
−
 
 
−
=== ---Nov 12---===
 
−
 
 
−
Bing
 
−
 
 
−
Grabocka, Josif, et al. "Learning time-series shapelets." Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining. 2014.
 
−
 
 
−
Ye, Lexiang, and Eamonn Keogh. "Time series shapelets: a new primitive for data mining." Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining. 2009.
 
−
 
 
−
=== ---Nov 19---===
 
−
 
 
−
Saumik
 
−
 
 
−
Paper: Jiao, York, et al. "Probabilistic forecasting of surgical case duration using machine learning: model development and validation." Journal of the American Medical Informatics Association (2020).
 
−
 
 
−
=== ---Nov 26---===
 
−
 
 
−
Thanksgiving
 
−
 
 
−
=== ---Dec 3---===
 
−
 
 
−
Jingwen
 
−
 
 
−
Literature review about contact tracing
 
−
 
 
−
=== ---Dec 10---===
 
  
 +
=== ---Mar 5 ---===
 
Hanyang
 
Hanyang
  
−
Cao, Bokai, et al. "Deepmood: modeling mobile phone typing dynamics for mood detection." KDD. 2017.
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=== ---Mar 12 ---===
−
https://dl.acm.org/doi/pdf/10.1145/3097983.3098086
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Claire
−
 
 
−
=== ---Dec 17---===
 
−
 
 
−
Liang
 
−
 
 
  
 +
=== ---Mar 19 ---===
 +
Charles
  
 +
=== ---Mar 19 ---===
 +
Hangyue
  
 
==Previous Semesters==
 
==Previous Semesters==
 +
* [[Seminar Fall 2024|Fall 2024]]
 +
* [[Seminar Spring 2024|Spring 2024]]
 +
* [[Seminar Fall 2023|Fall 2023]]
 +
* [[Seminar Spring 2023|Spring 2023]]
 +
* [[Seminar Fall 2022|Fall 2022]]
 +
* [[Seminar Summer 2022|Summer 2022]]
 +
* [[Seminar Spring 2022|Spring 2022]]
 +
* [[Seminar Fall 2021|Fall 2021]]
 +
* [[Seminar Summer 2021|Summer 2021]]
 +
* [[Seminar Spring 2021|Spring 2021]]
 +
* [[Seminar Fall 2020|Fall 2020]]
 +
* [[Seminar Summer 2020|Summer 2020]]
 
* [[Seminar Spring 2020|Spring 2020]]
 
* [[Seminar Spring 2020|Spring 2020]]
 
* [[Seminar Fall 2019|Fall 2019]]
 
* [[Seminar Fall 2019|Fall 2019]]

Latest revision as of 03:36, 14 February 2025

  • Theme: AI for Health
  • Instructor: Prof. Chenyang Lu
  • Semester: Spring 2025
  • Time: Wednesday at 10 am
  • Location: McKelvey 1020
  • Guidelines:
  • Recommended sources: NeurIPS ([1]), ICML ([2]), AAAI ([3]), SIGKDD ([4]), IJCAI ([5]), IMWUT ([6]), HEALTH ([7]), Digital Medicine ([8]), Lancet Digital Health ([9]), NEJM AI ([10])

Presentation Schedule

---Jan 22 ---

Ziqi

Lin, Z., Trivedi, S., & Sun, J. (2023). Generating with confidence: Uncertainty quantification for black-box large language models. arXiv preprint arXiv:2305.19187.

---Jan 29 ---

Daoyi

---Feb 5 ---

Zichen (Lab Meeting)

---Feb 12 ---

Cancelled

---Feb 19 ---

Ruiqi & Peiqi

DeepSeek Series

---Feb 26 ---

Ben

---Mar 5 ---

Hanyang

---Mar 12 ---

Claire

---Mar 19 ---

Charles

---Mar 19 ---

Hangyue

Previous Semesters

Previous Lab Meetings

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