CSE 7300 Research Seminar

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  • Instructor: Prof. Chenyang Lu
  • Semester: Spring 2021
  • Time: Thursday at 4pm-4:50pm
  • Location: Virtual


---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 ---

Presentation Schedule

Feb 04

Bing

Mattei, Pierre-Alexandre, and Jes Frellsen. "MIWAE: Deep generative modelling and imputation of incomplete data sets." International Conference on Machine Learning. PMLR, 2019.[21]

Wang, Yuhao, et al. "Causal discovery from incomplete data: a deep learning approach." arXiv preprint arXiv:2001.05343 (2020).[22]

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. [23]

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. [24]

Feb 25

Kriti

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 [25]

Mar 04

Soumyendu

Maximilian Ilse, Jakub M. Tomczak, and Max Welling, Attention-based Deep Multiple Instance Learning, ICML 2018. https://arxiv.org/abs/1802.04712

Mar 11

Hanyang

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

Mar 18

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

Mar 25

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

Apr 01

Dingwen

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

Apr 08

Ruixuan Harutyunyan, Hrayr, et al. "Multitask learning and benchmarking with clinical time series data." Scientific data 6.1 (2019): 1-18.[26]

Apr 15

Jingwen

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. [27]

Apr 22

Ruiqi

Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency https://dl.acm.org/doi/10.1145/3384419.3430898

Apr 29

Bing


Chen, Ricky TQ, et al. "Isolating sources of disentanglement in variational autoencoders." arXiv preprint arXiv:1802.04942 (2018). [28] Kingma, Diederik P., and Max Welling. "An introduction to variational autoencoders." arXiv preprint arXiv:1906.02691 (2019). [29] Disentanglement by nonlinear ica with general incompressible-flow networks [Sorrenson, Peter, Carsten Rother, and Ullrich Köthe. "Disentanglement by nonlinear ica with general incompressible-flow networks (gin)." arXiv preprint arXiv:2001.04872 (2020). ]

Previous Semesters

Previous Lab Meetings

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