Search Results for author: Donglin Wang

Found 13 papers, 3 papers with code

Learning to Evolve on Dynamic Graphs

1 code implementation13 Nov 2021 Xintao Xiang, Tiancheng Huang, Donglin Wang

In this paper, we propose Learning to Evolve on Dynamic Graphs (LEDG) - a novel algorithm that jointly learns graph information and time information.

Meta-Learning Representation Learning

Mobility prediction Based on Machine Learning Algorithms

no code implementations12 Nov 2021 Donglin Wang, Qiuheng Zhou, Sanket Partani, Anjie Qiu, Hans D. Schotten

Nowadays mobile communication is growing fast in the 5G communication industry.

Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning

no code implementations NeurIPS 2021 Jinxin Liu, Hao Shen, Donglin Wang, Yachen Kang, Qiangxing Tian

Unsupervised reinforcement learning aims to acquire skills without prior goal representations, where an agent automatically explores an open-ended environment to represent goals and learn the goal-conditioned policy.

Unsupervised Domain Adaptation Unsupervised Reinforcement Learning

Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain

no code implementations21 Oct 2021 Yachen Kang, Jinxin Liu, Xin Cao, Donglin Wang

To achieve this, the widely used GAN-inspired IRL method is adopted, and its discriminator, recognizing policy-generating trajectories, is modified with the quantification of dynamics difference.

Continuous Control

Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs

no code implementations15 Oct 2021 Ryan Jacobs, Mingren Shen, YuHan Liu, Wei Hao, Xiaoshan Li, Ruoyu He, Jacob RC Greaves, Donglin Wang, Zeming Xie, Zitong Huang, Chao Wang, Kevin G. Field, Dane Morgan

In this work, we perform semantic segmentation of multiple defect types in electron microscopy images of irradiated FeCrAl alloys using a deep learning Mask Regional Convolutional Neural Network (Mask R-CNN) model.

Object Detection Semantic Segmentation

Deriving Autism Spectrum Disorder Functional Networks from RS-FMRI Data using Group ICA and Dictionary Learning

1 code implementation7 Jun 2021 Xin Yang, Ning Zhang, Donglin Wang

Fourth, we generate three corresponding masks based on the 20 selected ROIs from group ICA, the 20 ROIs selected from dictionary learning, and the 40 combined ROIs selected from both.

Dictionary Learning

Adaptive Adversarial Training for Meta Reinforcement Learning

no code implementations27 Apr 2021 Shiqi Chen, Zhengyu Chen, Donglin Wang

Meta Reinforcement Learning (MRL) enables an agent to learn from a limited number of past trajectories and extrapolate to a new task.

Meta-Learning Meta Reinforcement Learning

Pareto Self-Supervised Training for Few-Shot Learning

no code implementations CVPR 2021 Zhengyu Chen, Jixie Ge, Heshen Zhan, Siteng Huang, Donglin Wang

While few-shot learning (FSL) aims for rapid generalization to new concepts with little supervision, self-supervised learning (SSL) constructs supervisory signals directly computed from unlabeled data.

Auxiliary Learning Few-Shot Learning +1

Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning

no code implementations11 Apr 2021 Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen

It is of significance for an agent to learn a widely applicable and general-purpose policy that can achieve diverse goals including images and text descriptions.

DA-HGT: Domain Adaptive Heterogeneous Graph Transformer

no code implementations10 Dec 2020 Tiancheng Huang, Ke Xu, Donglin Wang

Domain adaptation using graph networks learns label-discriminative and network-invariant node embeddings by sharing graph parameters.

Domain Adaptation Transfer Learning

Visual Perception Generalization for Vision-and-Language Navigation via Meta-Learning

no code implementations10 Dec 2020 Ting Wang, Zongkai Wu, Donglin Wang

In the training phase, we first locate the generalization problem to the visual perception module, and then compare two meta-learning algorithms for better generalization in seen and unseen environments.

Affine Transformation Meta-Learning +1

Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition

1 code implementation10 Sep 2020 Siteng Huang, Min Zhang, Yachen Kang, Donglin Wang

However, these approaches only augment the representations of samples with available semantics while ignoring the query set, which loses the potential for the improvement and may lead to a shift between the modalities combination and the pure-visual representation.

Feature Selection Metric Learning

Learning transitional skills with intrinsic motivation

no code implementations25 Sep 2019 Qiangxing Tian, Jinxin Liu, Donglin Wang

By maximizing an information theoretic objective, a few recent methods empower the agent to explore the environment and learn useful skills without supervision.

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