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Exploiting the Nonlinear Stiffness of TMP Origami Folding to Enhance Robotic Jumping Performance

Oct 26, 2020
Sahand Sadeghi, Samuel Allison, Blake Betsill, Suyi Li

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Harnessing The Multi-Stability Of Kresling Origami For Reconfigurable Articulation In Soft Robotic Arms

Aug 17, 2020
Joshua Kaufmann, Suyi Li

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Learning to Detect Malicious Clients for Robust Federated Learning

Feb 01, 2020
Suyi Li, Yong Cheng, Wei Wang, Yang Liu, Tianjian Chen

* 7 pages, 5 figures 

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Abnormal Client Behavior Detection in Federated Learning

Oct 22, 2019
Suyi Li, Yong Cheng, Yang Liu, Wei Wang, Tianjian Chen

* 10 pages, 1 figure, 2nd International Workshop on Federated Learning for Data Privacy and Confidentiality, in Conjunction with NeurIPS 2019 (FL-NeurIPS 19) 

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CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases

Sep 11, 2019
Tao Yu, Rui Zhang, He Yang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S Lasecki, Dragomir Radev

* Accepted to EMNLP 2019, long paper 

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Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model

Jun 19, 2019
Alexander R. Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir R. Radev

* ACL 2019, 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, 2019 

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Peristaltic locomotion without digital controllers: Exploiting the origami multi-stability to coordinate robotic motions

Jun 10, 2019
Priyanka Bhovad, Joshua Kaufmann, Suyi Li

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SParC: Cross-Domain Semantic Parsing in Context

Jun 05, 2019
Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir Radev

* Accepted to ACL 2019, long paper 

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