Difference between revisions of "CSE 7300 Research Seminar"

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* '''Theme: AI and IoT for Medicine (AIM)'''
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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''': '''Spring 2025'''
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* '''Time''': Wednesday at 11am-12pm
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* '''Time''': Wednesday at 10 am
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* '''Location''': McKelvey 1030
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* '''Location''': McKelvey 1020
 
* '''[http://www.cse.wustl.edu/~lu/talks/seminar_guidelines.pdf Guidelines]''':  
 
* '''[http://www.cse.wustl.edu/~lu/talks/seminar_guidelines.pdf Guidelines]''':  
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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]), SenSys, MobiSys, MobiCom
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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/])
  
 
==Presentation Schedule==
 
==Presentation Schedule==
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=== ---Jan 25 ---===
 
−
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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=== ---May 21 ---===
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Hanyang
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Daoyi
  
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Contrastive multiview learning and its applications
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HALO: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models. https://arxiv.org/pdf/2308.11764
  
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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. [https://arxiv.org/abs/1906.05849]
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=== ---May 28 ---===
 +
Hangyue
  
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Other related papers:
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“Diffusion Bridge Implicit Models” https://openreview.net/pdf?id=eghAocvqBk
  
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InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
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=== ---June 4 ---===
 +
Patrick
  
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Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition
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=== ---June 11 ---===
 +
Peiqi
  
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Multi-level Feature Learning for Contrastive Multi-view Clustering
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=== ---June 18 ---===
 +
Zichen
  
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=== ---Feb 08 ---===
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=== ---June 25 ---===
 
Ziqi
 
Ziqi
  
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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]
+
=== ---Jul 2 ---===
−
 
+
Claire
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=== ---Feb 15 ---===
 
−
Ruiqi
 
−
 
 
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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 [https://ieeexplore.ieee.org/document/9878640]
 
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=== ---Feb 22 ---===
 
−
Melanie
 
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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]
 
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=== ---Mar 01 ---===
 
−
Jingwen
 
−
 
 
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Malinin, Andrey, Liudmila Prokhorenkova, and Aleksei Ustimenko. “Uncertainty in Gradient Boosting via Ensembles.” International Conference on Learning Representations, 2021.
 
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[https://arxiv.org/abs/2006.10562]
 
−
 
 
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=== ---Mar 08 ---===
 
−
Andrew
 
−
 
 
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Martinez, Natalia, Martin Bertran, and Guillermo Sapiro. "Minimax pareto fairness: A multi objective perspective." International Conference on Machine Learning. PMLR, 2020. [http://proceedings.mlr.press/v119/martinez20a/martinez20a.pdf].
 
−
 
 
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=== ---Mar 15 ---===
 
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Spring Break
 
−
 
 
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=== ---Mar 22 ---===
 
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Bye Week
 
−
 
 
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=== ---Mar 29 ---===
 
−
Hangyue
 
−
 
 
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=== ---Apr 05 ---===
 
−
Ye
 
−
 
 
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Rumi, Masuma Akter, et al. "Accelerating sparse cnn inference on gpus with performance-aware weight pruning." Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques. 2020. [https://dl.acm.org/doi/abs/10.1145/3410463.3414648]
 
−
 
 
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=== ---Apr 12 ---===
 
−
Bing
 
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Poulain, Raphael, Mehak Gupta, and Rahmatollah Beheshti. "Few-Shot Learning with Semi-Supervised Transformers for Electronic Health Records." (2022). [https://proceedings.mlr.press/v182/poulain22a.html]
 
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=== ---Apr 19 ---===
 
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Charles
 
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=== ---Apr 26 ---===
 
  
 +
=== ---Jul 9 ---===
 +
Ben
  
 
==Previous Semesters==
 
==Previous Semesters==
 +
* [[Seminar Spring 2025|Spring 2025]]
 +
* [[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 06:38, 26 May 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

---May 21 ---

Daoyi

HALO: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models. https://arxiv.org/pdf/2308.11764

---May 28 ---

Hangyue

“Diffusion Bridge Implicit Models” https://openreview.net/pdf?id=eghAocvqBk

---June 4 ---

Patrick

---June 11 ---

Peiqi

---June 18 ---

Zichen

---June 25 ---

Ziqi

---Jul 2 ---

Claire

---Jul 9 ---

Ben

Previous Semesters

Previous Lab Meetings

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