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''': '''Spring 2023'''
+
* '''Semester''': '''Spring 2025'''
* '''Time''': Wednesday at 11am-12pm
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* '''Time''': Wednesday at 10 am
* '''Location''': TBD.
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* '''Location''': McKelvey 1020
 
+
* '''[http://www.cse.wustl.edu/~lu/talks/seminar_guidelines.pdf Guidelines]''':
* 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/])
* ICML ([http://icml.cc/])
 
* AAAI ([http://www.aaai.org/])
 
* SIGKDD ([http://www.kdd.org/])
 
* IJCAI ([http://www.ijcai.org/])
 
* 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])
 
* IMWUT ([http://dl.acm.org/journal/imwut])
 
* SenSys
 
* MobiSys
 
* MobiCom
 
* IPSN
 
* IoTDI
 
  
 
==Presentation Schedule==
 
==Presentation Schedule==
=== ---Jan 25 ---===
 
Jaehwan
 
  
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]
+
=== ---Jan 22 ---===
 +
Ziqi
  
=== ---Feb 01 ---===
+
Lin, Z., Trivedi, S., & Sun, J. (2023). Generating with confidence: Uncertainty quantification for black-box large language models.
Hanyang
+
arXiv preprint arXiv:2305.19187.
  
Contrastive multiview learning and its applications
+
=== ---Jan 29 ---===
 +
Daoyi
  
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.
+
=== ---Feb 5 ---===
 +
Zichen (Lab Meeting)
  
Other related papers:
+
=== ---Feb 12 ---===
 +
Cancelled
  
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
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=== ---Feb 19 ---===
 +
Ruiqi & Peiqi
  
Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition
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DeepSeek Series
  
Multi-level Feature Learning for Contrastive Multi-view Clustering
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=== ---Feb 26 ---===
 +
Ben
  
=== ---Feb 08 ---===
+
=== ---Mar 5 ---===
Ziqi
+
Hanyang
  
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]
+
=== ---Mar 12 ---===
 +
Claire
  
=== ---Feb 15 ---===
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=== ---Mar 19 ---===
Ruiqi
+
Charles
  
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
+
=== ---Mar 19 ---===
 
 
=== ---Feb 22 ---===
 
Melanie
 
 
 
=== ---Mar 01 ---===
 
Jingwen
 
 
 
=== ---Mar 08 ---===
 
Andrew
 
 
 
=== ---Mar 15 ---===
 
Spring Break
 
 
 
=== ---Mar 22 ---===
 
 
Hangyue
 
Hangyue
 
=== ---Mar 29 ---===
 
Daoyi
 
 
=== ---Apr 05 ---===
 
Ye
 
 
=== ---Apr 12 ---===
 
Bing
 
 
=== ---Apr 19 ---===
 
 
 
=== ---Apr 26 ---===
 
 
  
 
==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 Fall 2022|Fall 2022]]
 
* [[Seminar Summer 2022|Summer 2022]]
 
* [[Seminar Summer 2022|Summer 2022]]

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