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01/30/2023
Online Learning Based Mobile Robot Controller Adaptation for Slip Reduction
Slip is a very common phenomena present in wheeled mobile robotic system...
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06/15/2022
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus
To alleviate the challenges of building Knowledge Graphs (KG) from scrat...
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01/10/2022
Writing Style Aware Document-level Event Extraction
Event extraction, the technology that aims to automatically get the stru...
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06/04/2021
History Encoding Representation Design for Human Intention Inference
In this extended abstract, we investigate the design of learning represe...
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04/07/2021
Speckles-Training-Based Denoising Convolutional Neural Network Ghost Imaging
Ghost imaging (GI) has been paid attention gradually because of its lens...
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03/25/2021
Generative-Adversarial-Networks-based Ghost Recognition
Nowadays, target recognition technique plays an important role in many f...
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02/24/2021
RoBERTa-wwm-ext Fine-Tuning for Chinese Text Classification
Bidirectional Encoder Representations from Transformers (BERT) have show...
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11/23/2020
COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing
General contact-rich manipulation problems are long-standing challenges ...
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11/06/2020
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer
The success of deep reinforcement learning (RL) and imitation learning (...
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10/13/2020
Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks
Joint-event-extraction, which extracts structural information (i.e., ent...
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05/07/2020
Cascade Attribute Network: Decomposing Reinforcement Learning Control Policies using Hierarchical Neural Networks
Reinforcement learning methods have been developed to achieve great succ...
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05/06/2020
Guided Policy Search Model-based Reinforcement Learning for Urban Autonomous Driving
In this paper, we continue our prior work on using imitation learning (I...
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03/21/2020
End-to-end Autonomous Driving Perception with Sequential Latent Representation Learning
Current autonomous driving systems are composed of a perception system a...
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12/07/2018
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control
Although deep reinforcement learning (deep RL) methods have lots of stre...
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11/24/2017
Cascade Attribute Learning Network
We propose the cascade attribute learning network (CALNet), which can le...
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12/08/2016