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''': '''Spring 2023'''
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* '''Semester''': '''Fall 2024'''
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* '''Time''': Wednesday at 11am-12pm
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* '''Time''': Wednesday at 1 PM
 
* '''Location''': McKelvey 1030
 
* '''Location''': McKelvey 1030
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* '''[http://www.cse.wustl.edu/~lu/talks/seminar_guidelines.pdf Guidelines]''':
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* NeurIPS ([http://nips.cc/])
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* '''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/])
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* ICML ([http://icml.cc/])
 
−
* AAAI ([http://www.aaai.org/])
 
−
* SIGKDD ([http://www.kdd.org/])
 
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* IJCAI ([http://www.ijcai.org/])
 
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* IMWUT ([http://dl.acm.org/journal/imwut])
 
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* HEALTH ([http://dl.acm.org/journal/health])
 
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* Digital Medicine ([http://www.nature.com/npjdigitalmed/])
 
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* Lancet Digital Health ([https://www.thelancet.com/journals/landig/issues#decade=loi_decade_201])
 
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* SenSys
 
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* MobiSys
 
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* MobiCom
 
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* IPSN
 
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* IoTDI
 
  
 
==Presentation Schedule==
 
==Presentation Schedule==
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=== ---Jan 25 ---===
 
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Jaehwan
 
−
 
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Jeong, Joo Seong, et al. "Band: coordinated multi-DNN inference on heterogeneous mobile processors." Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services. 2022.[https://dl.acm.org/doi/10.1145/3498361.3538948]
 
−
 
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=== ---Feb 01 ---===
 
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Hanyang
 
−
 
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Contrastive multiview learning and its applications
 
−
 
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Tian, Yonglong, Dilip Krishnan, and Phillip Isola. "Contrastive multiview coding." Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XI 16. Springer International Publishing, 2020.
 
−
 
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Other related papers:
 
−
 
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InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
 
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Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition
 
−
 
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Multi-level Feature Learning for Contrastive Multi-view Clustering
 
  
−
=== ---Feb 08 ---===
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=== ---Sep 11 ---===
 
Ziqi
 
Ziqi
  
−
Mingcheng Chen. et al. Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD ’21). Association for Computing Machinery, New York, NY, USA, 2663–2673.[https://doi.org/10.1145/3447548.3467123]
+
Gawlikowski, J., Tassi, C.R.N., Ali, M. et al. A survey of uncertainty in deep neural networks. Artif Intell Rev 56 (Suppl 1), 1513–1589 (2023). [https://doi.org/10.1007/s10462-023-10562-9]
  
−
=== ---Feb 15 ---===
+
=== ---Sep 18 ---===
−
Ruiqi
+
Daoyi
  
−
Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer; MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 13587-13597
+
Hüyük, A., Wei, Q., Curth, A. and van der Schaar, M., 2024. Defining Expertise: Applications to Treatment Effect Estimation. arXiv preprint arXiv:2403.00694. [https://openreview.net/pdf?id=1YPfmglNRU]
  
−
=== ---Feb 22 ---===
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=== ---Sep 25 ---===
−
Melanie
+
Jason
  
−
=== ---Mar 01 ---===
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=== ---Oct 02 ---===
−
Jingwen
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Ben
  
−
=== ---Mar 08 ---===
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=== ---Oct 09 ---===
−
Andrew
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Claire
  
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=== ---Mar 15 ---===
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=== ---Oct 16 ---===
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Spring Break
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Wenyu
  
−
=== ---Mar 22 ---===
+
=== ---Oct 23 ---===
−
Hangyue
+
Di
−
 
 
−
=== ---Mar 29 ---===
 
−
Daoyi
 
  
−
=== ---Apr 05 ---===
+
=== ---Oct 30 ---===
−
Ye
+
Behrooz
  
−
=== ---Apr 12 ---===
+
=== ---Nov 06 ---===
−
Bing
+
Prince
  
−
=== ---Apr 19 ---===
+
=== ---Nov 13 ---===
 +
Zichen
  
 +
=== ---Nov 20 ---===
 +
Peiqi
  
−
=== ---Apr 26 ---===
+
=== ---Nov 27 ---===
 +
Thanksgiving
  
  
 
==Previous Semesters==
 
==Previous Semesters==
 +
* [[Seminar Spring 2024|Spring 2024]]
 +
* [[Seminar Fall 2023|Fall 2023]]
 +
* [[Seminar Spring 2023|Spring 2023]]
 
* [[Seminar Fall 2022|Fall 2022]]
 
* [[Seminar Fall 2022|Fall 2022]]
 
* [[Seminar Summer 2022|Summer 2022]]
 
* [[Seminar Summer 2022|Summer 2022]]

Revision as of 19:06, 18 September 2024

  • Theme: AI for Health
  • Instructor: Prof. Chenyang Lu
  • Semester: Fall 2024
  • Time: Wednesday at 1 PM
  • Location: McKelvey 1030
  • 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

---Sep 11 ---

Ziqi

Gawlikowski, J., Tassi, C.R.N., Ali, M. et al. A survey of uncertainty in deep neural networks. Artif Intell Rev 56 (Suppl 1), 1513–1589 (2023). [11]

---Sep 18 ---

Daoyi

Hüyük, A., Wei, Q., Curth, A. and van der Schaar, M., 2024. Defining Expertise: Applications to Treatment Effect Estimation. arXiv preprint arXiv:2403.00694. [12]

---Sep 25 ---

Jason

---Oct 02 ---

Ben

---Oct 09 ---

Claire

---Oct 16 ---

Wenyu

---Oct 23 ---

Di

---Oct 30 ---

Behrooz

---Nov 06 ---

Prince

---Nov 13 ---

Zichen

---Nov 20 ---

Peiqi

---Nov 27 ---

Thanksgiving


Previous Semesters

Previous Lab Meetings

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