Difference between revisions of "CSE 7300 Research Seminar"

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* '''Time''': Wednesday at 11am-12pm
 
* '''Time''': Wednesday at 11am-12pm
 
* '''Location''': McKelvey 1030
 
* '''Location''': McKelvey 1030
 +
* '''Guidelines''': [http://www.cse.wustl.edu/~lu/talks/seminar_guidelines.pdf]
 
* '''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]), SenSys, MobiSys, MobiCom
 
* '''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]), SenSys, MobiSys, MobiCom
  

Revision as of 06:03, 25 February 2023

  • Theme: AI and IoT for Medicine (AIM)
  • Instructor: Prof. Chenyang Lu
  • Semester: Spring 2023
  • Time: Wednesday at 11am-12pm
  • Location: McKelvey 1030
  • Guidelines: [1]
  • Recommended sources: NeurIPS ([2]), ICML ([3]), AAAI ([4]), SIGKDD ([5]), IJCAI ([6]), IMWUT ([7]), HEALTH ([8]), Digital Medicine ([9]), Lancet Digital Health ([10]), SenSys, MobiSys, MobiCom

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.[11]

---Feb 01 ---

Hanyang

Contrastive multiview learning and its applications

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.

Other related papers:

InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training

Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition

Multi-level Feature Learning for Contrastive Multi-view Clustering

---Feb 08 ---

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.[12]

---Feb 15 ---

Ruiqi

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

---Feb 22 ---

Melanie

F. Cheng et al., "VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models," in IEEE Transactions on Visualization and Computer Graphics, vol. 28, no. 1, pp. 378-388, Jan. 2022, doi: 10.1109/TVCG.2021.3114836. https://arxiv.org/pdf/2108.02550.pdf

---Mar 01 ---

Jingwen

Malinin, Andrey, Liudmila Prokhorenkova, and Aleksei Ustimenko. “Uncertainty in Gradient Boosting via Ensembles.” International Conference on Learning Representations, 2021. https://arxiv.org/abs/2006.10562


---Mar 08 ---

Andrew

---Mar 15 ---

Spring Break

---Mar 22 ---

Hangyue

---Mar 29 ---

---Apr 05 ---

Ye

---Apr 12 ---

Bing

---Apr 19 ---

---Apr 26 ---

Previous Semesters

Previous Lab Meetings

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