Difference between revisions of "CSE 7300 Research Seminar"

From Cyber-Physical Systems Laboratory
Jump to navigationJump to search
 
(172 intermediate revisions by 7 users not shown)
Line 3: Line 3:
 
  |}
 
  |}
  
 +
* '''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 2021'''
+
* '''Semester''': '''Fall 2024'''
−
* '''Time''': Thursday at 4pm-4:50pm
+
* '''Time''': Wednesday at 1 PM
−
* '''Location''': Virtual
+
* '''Location''': McKelvey 1030
−
 
+
* '''[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/])
−
=== ---ML for Health ---===
 
−
 
 
−
* 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==
 
==Presentation Schedule==
  
−
=== Feb 04 ===
+
=== ---Sep 11 ---===
−
Bing
+
Ziqi
−
 
 
−
Mattei, Pierre-Alexandre, and Jes Frellsen. "MIWAE: Deep generative modelling and imputation of incomplete data sets." International Conference on Machine Learning. PMLR, 2019.[http://proceedings.mlr.press/v97/mattei19a.html]
 
−
 
 
−
Wang, Yuhao, et al. "Causal discovery from incomplete data: a deep learning approach." arXiv preprint arXiv:2001.05343 (2020).[https://arxiv.org/pdf/2001.05343.pdf]
 
−
 
 
−
=== Feb 11 ===
 
−
Ruiqi
 
−
 
 
−
Luyang Liu, Hongyu Li, and Marco Gruteser. 2019. Edge Assisted Real-time Object Detection for Mobile Augmented Reality. The 25th Annual International Conference on Mobile Computing and Networking. Association for Computing Machinery, New York, NY, USA, Article 25, 1–16. [https://dl.acm.org/doi/pdf/10.1145/3300061.3300116]
 
−
 
 
−
=== Feb 18 ===
 
−
Jingwen
 
  
−
Daniş, F. Serhan, and Ali Taylan Cemgil. "Model-based localization and tracking using bluetooth low-energy beacons." Sensors 17.11 (2017): 2484. [https://www.mdpi.com/1424-8220/17/11/2484/htm]
+
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 25 ===
+
=== ---Sep 18 ---===
−
Kriti
+
Daoyi
  
−
Nguyen Tuan A , Jeong Hyewon, Yang Eunho  , Hwang Sung Ju. Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. Association for the Advancement of Artificial Intelligence. 2021 [https://arxiv.org/pdf/2006.12777.pdf ]
+
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]
  
−
=== Mar 04 ===
+
=== ---Sep 25 ---===
−
Soumyendu
+
Jason
  
−
Maximilian Ilse, Jakub M. Tomczak, and Max Welling, Attention-based Deep Multiple Instance Learning, ICML 2018. https://arxiv.org/abs/1802.04712
+
Park, C., Awadalla, A., Kohno, T., & Patel, S. (2021). Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. W. Vaughan (Eds.), Advances in Neural Information Processing Systems (Vol. 34, pp. 3043–3056).
 +
[https://proceedings.neurips.cc/paper_files/paper/2021/file/17e23e50bedc63b4095e3d8204ce063b-Paper.pdf]
  
−
=== Mar 11 ===
+
=== ---Oct 02 ---===
−
Hanyang
+
Ben
  
−
He, Yong, et al. "Attention and Memory-Augmented Networks for Dual-View Sequential Learning." Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. 2020. https://dl.acm.org/doi/pdf/10.1145/3394486.3403055
+
Bick, A., Li, K.Y., Xing, E.P., Kolter, J.Z. and Gu, A., 2024. Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models. arXiv preprint arXiv:2408.10189. [https://arxiv.org/pdf/2408.10189]
  
−
=== Mar 18 ===
+
Dao, T. and Gu, A., 2024. Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality. arXiv preprint arXiv:2405.21060. [https://arxiv.org/pdf/2405.21060]
−
Sayantan
 
  
−
Xiao Zhang, Dejing Dou, and Ji Wu, Learning Conceptual-Contextual Embeddings for Medical Text, AAAI Conference on Artificial Intelligence (AAAI-20), 2020. https://ojs.aaai.org/index.php/AAAI/article/view/6504/6360
+
=== ---Oct 09 ---===
 +
Claire
  
−
=== Mar 25 ===
+
Qian Z, Zhang Y, Bica I, Wood A, van der Schaar M. Synctwin: Treatment effect estimation with longitudinal outcomes. Advances in Neural Information Processing Systems. 2021 Dec 6;34:3178-90. [https://proceedings.neurips.cc/paper_files/paper/2021/file/19485224d128528da1602ca47383f078-Paper.pdf]
−
Guanghui
 
  
−
Mate, Aditya, et al. "Collapsing Bandits and Their Application to Public Health Intervention." Advances in Neural Information Processing Systems 33 (2020). https://arxiv.org/pdf/2007.04432.pdf
+
=== ---Oct 16 ---===
 +
Wenyu
  
−
=== Apr 01 ===
+
Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, and Yejin Choi. 2024. Faith and fate: limits of transformers on compositionality. In Proceedings of the 37th International Conference on Neural Information Processing Systems (NIPS '23). Curran Associates Inc., Red Hook, NY, USA, Article 3081, 70293–70332.
−
Dingwen
+
[https://dl.acm.org/doi/10.5555/3666122.3669203]
  
−
J. Luo, et al. HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records. KDD'20. https://dl.acm.org/doi/pdf/10.1145/3394486.3403107
+
=== ---Oct 23 ---===
 +
Di
  
−
=== Apr 08 ===
+
Xu, Shusheng, Wei Fu, Jiaxuan Gao, Wenjie Ye, Weilin Liu, Zhiyu Mei, Guangju Wang, Chao Yu, and Yi Wu. "Is dpo superior to ppo for llm alignment? a comprehensive study." arXiv preprint arXiv:2404.10719 (2024). [https://arxiv.org/pdf/2404.10719]
−
Ruixuan
 
−
Harutyunyan, Hrayr, et al. "Multitask learning and benchmarking with clinical time series data." Scientific data 6.1 (2019): 1-18.[https://www.nature.com/articles/s41597-019-0103-9]
 
  
−
=== Apr 15 ===
+
=== ---Oct 30 ---===
−
Jingwen
+
Behrooz
  
−
Bica, Ioana, Ahmed Alaa, and Mihaela Van Der Schaar. "Time series deconfounder: Estimating treatment effects over time in the presence of hidden confounders." International Conference on Machine Learning. PMLR, 2020. [http://proceedings.mlr.press/v119/bica20a/bica20a.pdf]
+
Renc, Pawel, Yugang Jia, Anthony E. Samir, Jaroslaw Was, Quanzheng Li, David W. Bates, and Arkadiusz Sitek. "Zero shot health trajectory prediction using transformer." NPJ Digital Medicine 7, no. 1 (2024): 256. [https://www.nature.com/articles/s41746-024-01235-0]
  
−
=== Apr 22 ===
+
=== ---Nov 06 ---===
−
Ruiqi
+
Prince
  
−
Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency
+
Fan, Na, Zeyue Tian, Amartansh Dubey, Samruddhi Deshmukh, Ross Murch, and Qifeng Chen. "Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, no. 1, pp. 91-99. 2024. [https://ojs.aaai.org/index.php/AAAI/article/view/27759]
−
https://dl.acm.org/doi/10.1145/3384419.3430898
 
  
−
=== Apr 29 ===
+
=== ---Nov 13 ---===
−
Bing
+
Prince
  
 +
Fan, Na, Zeyue Tian, Amartansh Dubey, Samruddhi Deshmukh, Ross Murch, and Qifeng Chen. "Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, no. 1, pp. 91-99. 2024. [https://ojs.aaai.org/index.php/AAAI/article/view/27759]
  
−
Chen, Ricky TQ, et al. "Isolating sources of disentanglement in variational autoencoders." arXiv preprint arXiv:1802.04942 (2018). [https://dl.acm.org/doi/pdf/10.5555/3327144.3327186]
+
=== ---Nov 20 ---===
 +
Peiqi
  
−
Kingma, Diederik P., and Max Welling. "An introduction to variational autoencoders." arXiv preprint arXiv:1906.02691 (2019). [https://arxiv.org/abs/1906.02691]
+
=== ---Nov 27 ---===
 +
Thanksgiving
  
−
Sorrenson, Peter, Carsten Rother, and Ullrich Köthe. "Disentanglement by nonlinear ica with general incompressible-flow networks (gin)." arXiv preprint arXiv:2001.04872 (2020) [https://arxiv.org/pdf/2001.04872.pdf]
 
  
 
==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 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 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 19:54, 13 November 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

Park, C., Awadalla, A., Kohno, T., & Patel, S. (2021). Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. W. Vaughan (Eds.), Advances in Neural Information Processing Systems (Vol. 34, pp. 3043–3056). [13]

---Oct 02 ---

Ben

Bick, A., Li, K.Y., Xing, E.P., Kolter, J.Z. and Gu, A., 2024. Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models. arXiv preprint arXiv:2408.10189. [14]

Dao, T. and Gu, A., 2024. Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality. arXiv preprint arXiv:2405.21060. [15]

---Oct 09 ---

Claire

Qian Z, Zhang Y, Bica I, Wood A, van der Schaar M. Synctwin: Treatment effect estimation with longitudinal outcomes. Advances in Neural Information Processing Systems. 2021 Dec 6;34:3178-90. [16]

---Oct 16 ---

Wenyu

Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, and Yejin Choi. 2024. Faith and fate: limits of transformers on compositionality. In Proceedings of the 37th International Conference on Neural Information Processing Systems (NIPS '23). Curran Associates Inc., Red Hook, NY, USA, Article 3081, 70293–70332. [17]

---Oct 23 ---

Di

Xu, Shusheng, Wei Fu, Jiaxuan Gao, Wenjie Ye, Weilin Liu, Zhiyu Mei, Guangju Wang, Chao Yu, and Yi Wu. "Is dpo superior to ppo for llm alignment? a comprehensive study." arXiv preprint arXiv:2404.10719 (2024). [18]

---Oct 30 ---

Behrooz

Renc, Pawel, Yugang Jia, Anthony E. Samir, Jaroslaw Was, Quanzheng Li, David W. Bates, and Arkadiusz Sitek. "Zero shot health trajectory prediction using transformer." NPJ Digital Medicine 7, no. 1 (2024): 256. [19]

---Nov 06 ---

Prince

Fan, Na, Zeyue Tian, Amartansh Dubey, Samruddhi Deshmukh, Ross Murch, and Qifeng Chen. "Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, no. 1, pp. 91-99. 2024. [20]

---Nov 13 ---

Prince

Fan, Na, Zeyue Tian, Amartansh Dubey, Samruddhi Deshmukh, Ross Murch, and Qifeng Chen. "Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, no. 1, pp. 91-99. 2024. [21]

---Nov 20 ---

Peiqi

---Nov 27 ---

Thanksgiving


Previous Semesters

Previous Lab Meetings

Retrieved from "http://wsn.cse.wustl.edu/index.php?title=CSE_7300_Research_Seminar&oldid=5402"