Bai Li | DeepAI

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Li Li
178 publications
Lawrence Carin
178 publications
YI LIU
156 publications
Hao Liu
150 publications
Jie Tang
135 publications
Zhe Gan
102 publications
Shiqi Wang
91 publications
Yang Xu
89 publications
Changyou Chen
87 publications
Yizhe Zhang
80 publications
Frank Rudzicz
61 publications

∙ 02/15/2023

Embodied Footprints: A Safety-guaranteed Collision Avoidance Model for Numerical Optimization-based Trajectory Planning

Numerical optimization-based methods are among the prevalent trajectory ...

0 Bai Li, et al. ∙

∙ 07/20/2022

Integrating Linguistic Theory and Neural Language Models

Transformer-based language models have recently achieved remarkable resu...

0 Bai Li, et al. ∙

∙ 02/25/2022

On the data requirements of probing

As large and powerful neural language models are developed, researchers ...

0 Zining Zhu, et al. ∙

∙ 02/24/2022

Neural reality of argument structure constructions

In lexicalist linguistic theories, argument structure is assumed to be p...

0 Bai Li, et al. ∙

∙ 07/13/2021

What do writing features tell us about AI papers?

As the numbers of submissions to conferences grow quickly, the task of a...

0 Zining Zhu, et al. ∙

∙ 05/16/2021

How is BERT surprised? Layerwise detection of linguistic anomalies

Transformer language models have shown remarkable ability in detecting w...

0 Bai Li, et al. ∙

∙ 04/15/2021

TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction

Eye movement data during reading is a useful source of information for u...

0 Bai Li, et al. ∙

∙ 09/23/2020

Evolution of Part-of-Speech in Classical Chinese

Classical Chinese is a language notable for its word class flexibility: ...

0 Bai Li, et al. ∙

∙ 09/19/2020

Word class flexibility: A deep contextualized approach

Word class flexibility refers to the phenomenon whereby a single word fo...

0 Bai Li, et al. ∙

∙ 06/04/2020

Towards Understanding Fast Adversarial Training

Current neural-network-based classifiers are susceptible to adversarial ...

17 Bai Li, et al. ∙

∙ 03/06/2020

Towards Practical Lottery Ticket Hypothesis for Adversarial Training

Recent research has proposed the lottery ticket hypothesis, suggesting t...

2 Bai Li, et al. ∙

∙ 01/22/2020

Autonomous Last-mile Delivery Vehicles in Complex Traffic Environments

E-commerce has evolved with the digital technology revolution over the y...

0 Bai Li, et al. ∙

∙ 11/22/2019

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

Neural networks are known to be vulnerable to carefully crafted adversar...

21 Yantao Lu, et al. ∙

∙ 11/20/2019

Graph-Driven Generative Models for Heterogeneous Multi-Task Learning

We propose a novel graph-driven generative model, that unifies multiple ...

0 Wenlin Wang, et al. ∙

∙ 11/10/2019

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

This paper proposed a distributed filter for spatially interconnected sy...

0 Bai Li, et al. ∙

∙ 10/20/2019

Representation Learning for Discovering Phonemic Tone Contours

Tone is a prosodic feature used to distinguish words in many languages, ...

0 Bai Li, et al. ∙

∙ 10/11/2019

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

This paper proposes a fast and accurate trajectory planning algorithm fo...

0 Bai Li, et al. ∙

∙ 08/27/2019

Real-world Conversational AI for Hotel Bookings

In this paper, we present a real-world conversational AI system to searc...

0 Bai Li, et al. ∙

∙ 05/15/2019

On Norm-Agnostic Robustness of Adversarial Training

Adversarial examples are carefully perturbed in-puts for fooling machine...

0 Bai Li, et al. ∙

∙ 03/03/2019

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

Machine learning has shown promise for automatic detection of Alzheimer'...

0 Bai Li, et al. ∙

∙ 02/17/2019

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

This paper focuses on automatic guided vehicle (AGV) trajectory planning...

0 Bai Li, et al. ∙

∙ 01/18/2019

Improving Sequence-to-Sequence Learning via Optimal Transport

Sequence-to-sequence models are commonly trained via maximum likelihood ...

0 Liqun Chen, et al. ∙

∙ 09/10/2018

Second-Order Adversarial Attack and Certifiable Robustness

We propose a powerful second-order attack method that outperforms existi...

0 Bai Li, et al. ∙

∙ 08/11/2018

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

We replicate a variation of the image captioning architecture by Vinyals...

0 Bai Li, et al. ∙

∙ 05/29/2018

A Unified Particle-Optimization Framework for Scalable Bayesian Sampling

There has been recent interest in developing scalable Bayesian sampling ...

0 Changyou Chen, et al. ∙

∙ 12/25/2017

On Connecting Stochastic Gradient MCMC and Differential Privacy

Significant success has been realized recently on applying machine learn...

0 Bai Li, et al. ∙

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