Difference between revisions of "CSE 7100 Research Seminar on Machine Learning"

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* '''Instructor:''' [http://www.cse.wustl.edu/~lu Prof. Chenyang Lu]
 
* '''Instructor:''' [http://www.cse.wustl.edu/~lu Prof. Chenyang Lu]
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* '''Time: Thursday at 4pm-4:50pm, Location: Jolley 309 (''New Location'')'''
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* '''Time''': Thursday at 4pm-4:50pm
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* '''Google group:''' [https://groups.google.com/forum/#!forum/wustlmlseminar group for machine learning seminar]
 
  
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This seminar examines machine learning by studying seminal papers and recent research results. Each semester, the seminar emphasizes different themes reflecting the current research interests of the participants. The theme of this semester's seminar is '''Machine Learning for Health'''. We will read and discuss papers from recent major conferences and journals on machine learning, data mining, and AI related to healthcare.  These conferences and journals include:
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=== ---ML for Health ---===
  
 
* NeurIPS ([http://nips.cc/])
 
* NeurIPS ([http://nips.cc/])
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* Digital Medicine ([http://www.nature.com/npjdigitalmed/])
 
* Digital Medicine ([http://www.nature.com/npjdigitalmed/])
 
* HEALTH ([http://dl.acm.org/journal/health])
 
* HEALTH ([http://dl.acm.org/journal/health])
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* Lancet Digital Health ([https://www.thelancet.com/journals/landig/issues#decade=loi_decade_201])
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=== ---Cyber Physical Systems ---===
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* SenSys ([http://sensys.acm.org])
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* IPSN ([http://ipsn.acm.org])
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* RTSS ([http://www.rtss.org/])
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* RTAS ([http://www.rtas.org/])
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* ICCPS ([http://www.iccps.org])
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* Wireless Health ([http://mobihealth.name/])
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* MobiCom ([https://sigmobile.org/mobicom/2019/])
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* MobiSys ([http://www.sigmobile.org/mobisys/2019/])
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* Sigcomm ([http://conferences.sigcomm.org/sigcomm/2019/])
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* NSDI ([https://www.usenix.org/conference/nsdi19])
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* SOSP ([https://www.sigops.org/])
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* OSDI ([https://www.usenix.org/conference/osdi18/])
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=== ---Jan 23 ---===
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=== ---Oct 1 ---===
  
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Presenter: Dingwen Li
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Seminar: Ruixuan
  
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Paper: DeepAlerts: Deep Learning Based Multi-horizon Alerts for Clinical Deterioration on Oncology Hospital Wards, AAAI-2020, D. Li, P. Lyons, C. Lu, M. Kollef. ([https://www.cse.wustl.edu/~lu/papers/aaai20.pdf])
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Lab Meeting: Hanyang
  
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=== ---Jan 30 ---===
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=== ---Oct 8 ---===
  
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Presenter: Ruixuan Dai
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Seminar: Jingwen
  
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Paper: Shen, Yichen, et al. "Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning." Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. 2019.
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Lab Meeting: Bing
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URL: https://www.kdd.org/kdd2019/accepted-papers/view/ambulatory-atrial-fibrillation-monitoring-using-wearable-photoplethysmograp
 
  
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=== ---Feb 06 ---===
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=== ---Oct 15 ---===
  
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Presenter: Ali Ghubaish
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Seminar: Hanyang
  
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Paper: MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare, NeurIPS 2018, E. Choi, et al. ([https://papers.nips.cc/paper/7706-mime-multilevel-medical-embedding-of-electronic-health-records-for-predictive-healthcare.pdf])
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Lab Meeting: Dingwen
  
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=== ---Feb 13 ---===
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=== ---Oct 22 ---===
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Presenter: Hanyang Liu
 
  
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Paper: Alaa, Ahmed M., and Mihaela van der Schaar. "Bayesian inference of individualized treatment effects using multi-task gaussian processes." Advances in Neural Information Processing Systems. 2017.
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Seminar: Bing
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URL: https://papers.nips.cc/paper/6934-bayesian-inference-of-individualized-treatment-effects-using-multi-task-gaussian-processes.pdf
 
  
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=== ---Feb 20 ---===
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Lab Meeting: Haoran
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Presenter: Jingwen Zhang
 
  
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Paper: Song, Huan, Deepta Rajan, Jayaraman J. Thiagarajan, and Andreas Spanias. "Attend and diagnose: Clinical time series analysis using attention models." In Thirty-second AAAI conference on artificial intelligence. 2018.
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=== ---Oct 29---===
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URL: https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewPaper/16325
 
  
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=== ---Feb 27 ---===
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Seminar: Dingwen
  
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Canceled for Big Ideas event
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Lab Meeting: Ruixuan
  
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=== ---Mar 05 ---===
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=== ---Nov 5---===
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Presenter: Joss Wang
 
  
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Paper: Maithra Raghu, Chiyuan Zhang, Jon Kleinberg, Samy Bengio, Transfusion: Understanding Transfer Learning for Medical Imaging, NeurIPS 2019. URL: https://arxiv.org/pdf/1902.07208.pdf
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Seminar: Haoran
  
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=== ---Mar 12 ---===
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Lab Meeting: Jingwen
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Spring break - no seminar
 
  
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=== ---Mar 19 ---===
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=== ---Nov 12---===
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Presenter: Bing Xue
 
  
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=== ---Mar 26 ---===
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Seminar: Ruixuan
  
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'''Double Header'''
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Lab Meeting: Hanyang
  
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Presenters: Hao Liu and Adith Boloor
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=== ---Nov 19---===
  
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Paper 1: X. Zhang et al., MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records, KDD 2019. URL: https://dl.acm.org/doi/10.1145/3292500.3330779
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Seminar: Jingwen
  
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Paper 2: A. Rajkomar et al., Scalable and Accurate Deep Learning with Electronic Health Records, npj Digital Medicine (2018) 1:18. URL: https://www.nature.com/articles/s41746-018-0029-1.pdf
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Lab Meeting: Bing
  
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=== ---Apr 02 ---===
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=== ---Nov 26---===
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Presenter: Zhuangzhuang Zhang
 
  
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Paper: Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation, NIPS 2018, Y. Li, et al. ([https://papers.nips.cc/paper/7426-hybrid-retrieval-generation-reinforced-agent-for-medical-image-report-generation])
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Seminar: Hangyang
  
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Lab Meeting: Dingwen
  
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=== ---Apr 09 ---===
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=== ---Dec 3---===
  
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'''Double Header'''
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Seminar: Bing
  
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Presenters: Liang Tong and Kathryn Sarullo
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Lab Meeting: Haoran
  
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Paper 1: Z. Zhang, C. Yan, D.A. Mesa, J. Sun, and B.A. Malin, Ensuring Electronic Medical Record Simulation through Better Training, Modeling, and Evaluation, Journal of the American Medical Informatics Association, Volume 27, Issue 1, January 2020, Pages 99–108. URL: https://doi.org/10.1093/jamia/ocz161
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=== ---Dec 10---===
  
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Paper 2: P. Washington et al.,Feature Selection and Dimension Reduction of Social Autism Data, Pacific Symposium on Biocomputing 2020. URL: https://psb.stanford.edu/psb-online/proceedings/psb20/Washington.pdf
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Seminar: Dingwen
  
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=== ---Apr 16 ---===
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Lab Meeting: Ruixuan
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Presenter: Sayantan Kumar
 
  
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Paper: Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections, IEEE Transactions on Medical Imaging, 2018, J. Marsh, et al. ([https://ieeexplore.ieee.org/document/8398488])
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=== ---Dec 17---===
  
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=== ---Apr 23 ---===
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Seminar: Haoran
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Presenter: Raj Venkatesaramani
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Lab Meeting: Jingwen
  
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Paper: Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, and Panos Kalnis. 2019. GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD ’19). Association for Computing Machinery, New York, NY, USA, 705–713. URL: https://www.kdd.org/kdd2019/accepted-papers/view/gcn-mf-disease-gene-association-identification-by-graph-convolutional-netwo
 
  
 
==Previous Semesters==
 
==Previous Semesters==
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* [[Seminar Spring 2020|Spring 2020]]
 
* [[Seminar Fall 2019|Fall 2019]]
 
* [[Seminar Fall 2019|Fall 2019]]
 
* [[Seminar Summer 2019|Summer 2019]]
 
* [[Seminar Summer 2019|Summer 2019]]

Latest revision as of 05:31, 29 September 2020


---ML for Health ---

  • NeurIPS ([1])
  • ICML ([2])
  • AAAI ([3])
  • SIGKDD ([4])
  • IJCAI ([5])
  • IMWUT ([6])
  • Digital Medicine ([7])
  • HEALTH ([8])
  • Lancet Digital Health ([9])

---Cyber Physical Systems ---


---Oct 1 ---

Seminar: Ruixuan

Lab Meeting: Hanyang

---Oct 8 ---

Seminar: Jingwen

Lab Meeting: Bing

---Oct 15 ---

Seminar: Hanyang

Lab Meeting: Dingwen

---Oct 22 ---

Seminar: Bing

Lab Meeting: Haoran

---Oct 29---

Seminar: Dingwen

Lab Meeting: Ruixuan

---Nov 5---

Seminar: Haoran

Lab Meeting: Jingwen

---Nov 12---

Seminar: Ruixuan

Lab Meeting: Hanyang

---Nov 19---

Seminar: Jingwen

Lab Meeting: Bing

---Nov 26---

Seminar: Hangyang

Lab Meeting: Dingwen

---Dec 3---

Seminar: Bing

Lab Meeting: Haoran

---Dec 10---

Seminar: Dingwen

Lab Meeting: Ruixuan

---Dec 17---

Seminar: Haoran

Lab Meeting: Jingwen


Previous Semesters

Previous Lab Meetings

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