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Evolution of Part-of-Speech in Classical Chinese

Sep 23, 2020
Bai Li


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Word class flexibility: A deep contextualized approach

Sep 19, 2020
Bai Li, Guillaume Thomas, Yang Xu, Frank Rudzicz

* To appear in EMNLP 2020 (Long Paper) 

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Towards Understanding Fast Adversarial Training

Jun 04, 2020
Bai Li, Shiqi Wang, Suman Jana, Lawrence Carin


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Towards Practical Lottery Ticket Hypothesis for Adversarial Training

Mar 06, 2020
Bai Li, Shiqi Wang, Yunhan Jia, Yantao Lu, Zhenyu Zhong, Lawrence Carin, Suman Jana


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Autonomous Last-mile Delivery Vehicles in Complex Traffic Environments

Jan 22, 2020
Bai Li, Shaoshan Liu, Jie Tang, Jean-Luc Gaudiot, Liangliang Zhang, Qi Kong

* 6 pages 6 figures, submitted to IEEE Computer 

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Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction

Nov 22, 2019
Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar

* arXiv admin note: substantial text overlap with arXiv:1905.03333 

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Graph-Driven Generative Models for Heterogeneous Multi-Task Learning

Nov 20, 2019
Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin

* Accepted by AAAI-2020 

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Distributed Recursive Filtering for Spatially Interconnected Systems with Randomly Occurred Missing Measurements

Nov 10, 2019
Bai Li


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Representation Learning for Discovering Phonemic Tone Contours

Oct 20, 2019
Bai Li, Jing Yi Xie, Frank Rudzicz


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Trajectory Planning for Autonomous Parking in Complex Environments: A Tunnel-based Optimal Control Approach

Oct 11, 2019
Bai Li, Tankut Acarman, Qi Kong, Youmin Zhang


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Real-world Conversational AI for Hotel Bookings

Aug 27, 2019
Bai Li, Nanyi Jiang, Joey Sham, Henry Shi, Hussein Fazal

* Accepted to IEEE AI4I 2019 (International Conference on Artificial Intelligence for Industries) 

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On Norm-Agnostic Robustness of Adversarial Training

May 15, 2019
Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin

* 4 pages, 2 figures, presented at the ICML 2019 Workshop on Uncertainty and Robustness in Deep Learning. arXiv admin note: text overlap with arXiv:1809.03113 

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Real-Time Trajectory Planning for AGV in the Presence of Moving Obstacles: A First-Search-Then-Optimization Approach

Apr 12, 2019
Bai Li, Youmin Zhang, Fengqian Dou, Yumeng Wang


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Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus

Mar 03, 2019
Bai Li, Yi-Te Hsu, Frank Rudzicz

* NAACL 2019 (Short paper) 

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Improving Sequence-to-Sequence Learning via Optimal Transport

Jan 18, 2019
Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin


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Second-Order Adversarial Attack and Certifiable Robustness

Sep 10, 2018
Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin


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Dropout during inference as a model for neurological degeneration in an image captioning network

Aug 11, 2018
Bai Li, Ran Zhang, Frank Rudzicz


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A Unified Particle-Optimization Framework for Scalable Bayesian Sampling

Jul 10, 2018
Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen

* UAI 2018 

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On Connecting Stochastic Gradient MCMC and Differential Privacy

Dec 25, 2017
Bai Li, Changyou Chen, Hao Liu, Lawrence Carin


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Tailored RF pulse optimization for magnetization inversion at ultra high field

Apr 28, 2010
Aaron C Hurley, Ali Al-Radaideh, Bai Li, Uwe Aickelin, Ron Coxon, Paul Glover, Penny A. Gowland

* Magnetic Resonance Imaging for Medicine, 63(1), p51-58, 2009 
* 8 pages, 9 figures, Magnetic Resonance Imaging for Medicine 

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