Difference between revisions of "CSE 7300 Research Seminar"
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==Previous Semesters== | ==Previous Semesters== | ||
| + | * [[Seminar Summer 2022|Summer 2022]] | ||
* [[Seminar Spring 2022|Spring 2022]] | * [[Seminar Spring 2022|Spring 2022]] | ||
* [[Seminar Spring 2021|Spring 2021]] | * [[Seminar Spring 2021|Spring 2021]] | ||
Revision as of 06:07, 11 October 2022
- Instructor: Prof. Chenyang Lu
- Semester: Summer 2021
- Time: Thursday at 4pm-4:50pm
- Location: Virtual
---ML for Health ---
---Feb 04 ---
Ruixuan
Guo, Gabriel, et al. "MSLife: Digital Behavioral Phenotyping of Multiple Sclerosis Symptoms in the Wild Using Wearables and Graph-Based Statistical Analysis." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5.4 (2021): 1-35. [1]
---Feb 11 ---
Ziqi
Bica, Ioana, et al. "From real‐world patient data to individualized treatment effects using machine learning: current and future methods to address underlying challenges." Clinical Pharmacology & Therapeutics 109.1 (2021): 87-100. [2]
---Feb 18 ---
Cancel
---Feb 25 ---
Sixie
Yang, Qian, et al. "Flop: Federated learning on medical datasets using partial networks." Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 2021. [3]
---Mar 04 ---
Moran
Song, Sijie, et al. "An end-to-end spatial-temporal attention model for human action recognition from skeleton data." Proceedings of the AAAI conference on artificial intelligence. Vol. 31. No. 1. 2017. [4]
---Mar 11 ---
Jingwen
Park, Chunjong, et al. "Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection." Advances in Neural Information Processing Systems 34 (2021). [5]
---Mar 18 ---
Cancel
---Mar 25 ---
Cancel
---Apr 01 ---
Bing
Choi, Edward, et al. "GRAM: graph-based attention model for healthcare representation learning." Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining. 2017.[6]
Choi, Edward, et al. "Mime: Multilevel medical embedding of electronic health records for predictive healthcare." Advances in neural information processing systems 31 (2018). [7]
Choi, Edward, et al. "Learning the graphical structure of electronic health records with graph convolutional transformer." Proceedings of the AAAI conference on artificial intelligence. Vol. 34. No. 01. 2020. [8]
---Apr 08 ---
Cancel
---Apr 15 ---
Hanyang
---Apr 22 ---
Ruiqi
Shiqi Jiang, Zhiqi Lin, Yuanchun Li, Yuanchao Shu, and Yunxin Liu. 2021. Flexible high-resolution object detection on edge devices with tunable latency. In Proceedings of the 27th Annual International Conference on Mobile Computing and Networking (MobiCom ’21). Association for Computing Machinery, New York, NY, USA, 559–572. DOI:https://doi.org/10.1145/3447993.3483274
- NeurIPS ([9])
- ICML ([10])
- AAAI ([11])
- SIGKDD ([12])
- IJCAI ([13])
- IMWUT ([14])
- Digital Medicine ([15])
- HEALTH ([16])
- Lancet Digital Health ([17])
---Cyber Physical Systems ---
- SenSys ([18])
- IPSN ([19])
- RTSS ([20])
- RTAS ([21])
- ICCPS ([22])
- MobiCom ([23])
- MobiSys ([24])
- Sigcomm ([25])
- NSDI ([26])
- SOSP ([27])
- OSDI ([28])
Presentation Schedule
Previous Semesters
- Summer 2022
- Spring 2022
- Spring 2021
- Fall 2020
- Spring 2020
- Fall 2019
- Summer 2019
- Spring 2019
- Fall 2018
- Summer 2018
- Spring 2018
- Fall 2017
- Summer 2017
- Spring 2017
- Fall 2016
- Summer 2016
- Spring 2016
- Fall 2015
- Summer 2015
- Spring 2015
- Fall 2014
- Summer 2014
- Spring 2014
- Fall 2013
- Summer 2013
- Spring 2013
- Fall 2012
- Summer 2012
- Spring 2012
- Fall 2011
- Summer 2011
- Spring 2011
- Fall 2010
- Spring 2010
- Fall 2009
- Summer 2009
- Spring 2009
- Fall 2008
- Summer 2008
- Spring 2008
- Fall 2007
- Summer 2007
- Spring 2007
- Fall 2006
- Spring 2006
- Fall 2005
- Spring 2005
- Fall 2004
- Spring 2004
- Fall 2003
- Spring 2003
- Fall 2002
- Spring 2002
- Fall 2001
- Spring 2001
- Fall 2000
- Spring 2000
- Fall 1998
- Spring 1998
