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]
−
* '''Semester''': '''Summer 2021'''
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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 ---===
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=== ---Jan 22 ---===
−
 
+
Ziqi
−
=== ---Feb 04 ---===
 
−
Ruixuan
 
−
 
 
−
Guo, Gabriel, et al. "MSLife: Digital Behavioral Phenotyping of Multiple Sclerosis Symptoms in the Wild Using Wearables and Graph-Based Statistical Analysis." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5.4 (2021): 1-35.
 
−
[https://dl.acm.org/doi/10.1145/3494970]
 
−
 
 
−
=== ---Feb 11 ---===
 
−
Ziqi  
 
−
 
 
−
Bica, Ioana, et al. "From real‐world patient data to individualized treatment effects using machine learning: current and future methods to address underlying challenges." Clinical Pharmacology & Therapeutics 109.1 (2021): 87-100. [https://ascpt.onlinelibrary.wiley.com/doi/10.1002/cpt.1907]
 
−
 
 
−
=== ---Feb 18 ---===
 
−
Cancel
 
  
−
=== ---Feb 25 ---===
+
Lin, Z., Trivedi, S., & Sun, J. (2023). Generating with confidence: Uncertainty quantification for black-box large language models.
−
Sixie
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arXiv preprint arXiv:2305.19187.
  
−
Yang, Qian, et al. "Flop: Federated learning on medical datasets using partial networks." Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 2021. [https://dl.acm.org/doi/pdf/10.1145/3447548.3467185]
+
=== ---Jan 29 ---===
 +
Daoyi
  
−
=== ---Mar 04 ---===
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=== ---Feb 5 ---===
−
Moran
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Zichen (Lab Meeting)
  
−
Song, Sijie, et al. "An end-to-end spatial-temporal attention model for human action recognition from skeleton data." Proceedings of the AAAI conference on artificial intelligence. Vol. 31. No. 1. 2017. [https://ojs.aaai.org/index.php/AAAI/article/view/11212]
+
=== ---Feb 12 ---===
 +
Cancelled
  
−
=== ---Mar 11 ---===
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=== ---Feb 19 ---===
−
Jingwen
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Ruiqi & Peiqi
  
−
Park, Chunjong, et al. "Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection." Advances in Neural Information Processing Systems 34 (2021).
+
DeepSeek Series
−
[https://papers.nips.cc/paper/2021/file/17e23e50bedc63b4095e3d8204ce063b-Paper.pdf]
 
  
−
=== ---Mar 18 ---===
+
=== ---Feb 26 ---===
−
Cancel
+
Ben
  
−
=== ---Mar 25 ---===
+
=== ---Mar 5 ---===
−
Cancel
 
−
 
 
−
=== ---Apr 01 ---===
 
−
Bing
 
−
 
 
−
Choi, Edward, et al. "GRAM: graph-based attention model for healthcare representation learning." Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining. 2017.[https://dl.acm.org/doi/pdf/10.1145/3097983.3098126]
 
−
 
 
−
Choi, Edward, et al. "Mime: Multilevel medical embedding of electronic health records for predictive healthcare." Advances in neural information processing systems 31 (2018).
 
−
[https://proceedings.neurips.cc/paper/2018/file/934b535800b1cba8f96a5d72f72f1611-Paper.pdf]
 
−
 
 
−
Choi, Edward, et al. "Learning the graphical structure of electronic health records with graph convolutional transformer." Proceedings of the AAAI conference on artificial intelligence. Vol. 34. No. 01. 2020. [https://arxiv.org/pdf/1906.04716.pdf]
 
−
 
 
−
=== ---Apr 08 ---===
 
−
Cancel
 
−
 
 
−
=== ---Apr 15 ---===
 
 
Hanyang
 
Hanyang
  
−
=== ---Apr 22 ---===
+
=== ---Mar 12 ---===
−
Ruiqi
+
Claire
−
 
 
−
Shiqi Jiang, Zhiqi Lin, Yuanchun Li, Yuanchao Shu, and Yunxin Liu. 2021. Flexible high-resolution object detection on edge devices with tunable latency. In Proceedings of the 27th Annual International Conference on Mobile Computing and Networking (MobiCom ’21). Association for Computing Machinery, New York, NY, USA, 559–572. DOI:https://doi.org/10.1145/3447993.3483274
 
−
 
 
−
 
 
−
* 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])
 
−
* Digital Medicine ([http://www.nature.com/npjdigitalmed/])
 
−
* HEALTH ([http://dl.acm.org/journal/health])
 
−
* Lancet Digital Health ([https://www.thelancet.com/journals/landig/issues#decade=loi_decade_201])
 
−
 
 
−
=== ---Cyber Physical Systems ---===
 
−
 
 
−
* SenSys ([http://sensys.acm.org])
 
−
* IPSN ([http://ipsn.acm.org])
 
−
* 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/])
 
−
 
 
−
==Presentation Schedule==
 
  
 +
=== ---Mar 19 ---===
 +
Charles
  
 +
=== ---Mar 26 ---===
 +
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 Spring 2021|Spring 2021]]
 
* [[Seminar Fall 2020|Fall 2020]]
 
* [[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 06:31, 25 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 26 ---

Hangyue

Previous Semesters

Previous Lab Meetings

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