b'Donglin Wang'

research

∙ 09/03/2023

VGDiffZero: Text-to-image Diffusion Models Can Be Zero-shot Visual Grounders

Large-scale text-to-image diffusion models have shown impressive capabil...

0 Xuyang Liu, et al. ∙

research

∙ 08/13/2023

Learning on Graphs with Out-of-Distribution Nodes

Graph Neural Networks (GNNs) are state-of-the-art models for performing ...

0 Yu Song, et al. ∙

research

∙ 07/26/2023

Investigating the Impact of Variables on Handover Performance in 5G Ultra-Dense Networks

The advent of 5G New Radio (NR) technology has revolutionized the landsc...

0 Donglin Wang, et al. ∙

research

∙ 07/19/2023

STRAPPER: Preference-based Reinforcement Learning via Self-training Augmentation and Peer Regularization

Preference-based reinforcement learning (PbRL) promises to learn a compl...

0 Yachen Kang, et al. ∙

research

∙ 06/26/2023

CEIL: Generalized Contextual Imitation Learning

In this paper, we present ContExtual Imitation Learning (CEIL), a genera...

0 Jinxin Liu, et al. ∙

research

∙ 06/23/2023

CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning

Offline reinforcement learning (RL) aims to learn an optimal policy from...

0 Jinxin Liu, et al. ∙

research

∙ 05/25/2023

Beyond Reward: Offline Preference-guided Policy Optimization

This study focuses on the topic of offline preference-based reinforcemen...

0 Yachen Kang, et al. ∙

research

∙ 05/23/2023

Offline Experience Replay for Continual Offline Reinforcement Learning

The capability of continuously learning new skills via a sequence of pre...

0 Sibo Gai, et al. ∙

research

∙ 04/15/2023

BVIP Guiding System with Adaptability to Individual Differences

Guiding robots can not only detect close-range obstacles like other guid...

0 Yibo Zhou, et al. ∙

research

∙ 03/27/2023

Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning

Recent compositional zero-shot learning (CZSL) methods adapt pre-trained...

0 Siteng Huang, et al. ∙

research

∙ 03/17/2023

Effect of Variable Physical Numerologies on Link-Level Performance of 5G NR V2X

With technology and societal development, the 5th generation wireless co...

0 Donglin Wang, et al. ∙

research

∙ 03/12/2023

RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning

Gradient-based meta-learning (GBML) algorithms are able to fast adapt to...

0 Min Zhang, et al. ∙

research

∙ 02/23/2023

Mitigating Unnecessary Handovers in Ultra-Dense Networks through Machine Learning-based Mobility Prediction

In 5G wireless communication, Intelligent Transportation Systems (ITS) a...

0 Donglin Wang, et al. ∙

research

∙ 02/22/2023

Behavior Proximal Policy Optimization

Offline reinforcement learning (RL) is a challenging setting where exist...

0 Zifeng Zhuang, et al. ∙

research

∙ 01/19/2023

The Effect of Variable Factors on the Handover Performance for Ultra Dense Network

With wireless communication technology development, the 5G New Radio (NR...

0 Donglin Wang, et al. ∙

research

∙ 01/11/2023

Graph based Environment Representation for Vision-and-Language Navigation in Continuous Environments

Vision-and-Language Navigation in Continuous Environments (VLN-CE) is a ...

0 Ting Wang, et al. ∙

research

∙ 11/23/2022

VoP: Text-Video Co-operative Prompt Tuning for Cross-Modal Retrieval

Many recent studies leverage the pre-trained CLIP for text-video cross-m...

0 Siteng Huang, et al. ∙

research

∙ 08/22/2022

Reference-Limited Compositional Zero-Shot Learning

Compositional zero-shot learning (CZSL) refers to recognizing unseen com...

5 Siteng Huang, et al. ∙

research

∙ 07/14/2022

Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation

In this paper, we mainly focus on the problem of how to learn additional...

0 Min Zhang, et al. ∙

research

∙ 03/13/2022

DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning

Offline reinforcement learning algorithms promise to be applicable in se...

0 Jinxin Liu, et al. ∙

research

∙ 03/02/2022

Imitation and Adaptation Based on Consistency: A Quadruped Robot Imitates Animals from Videos Using Deep Reinforcement Learning

The essence of quadrupeds' movements is the movement of the center of gr...

0 Qingfeng Yao, et al. ∙

research

∙ 03/02/2022

A Transferable Legged Mobile Manipulation Framework Based on Disturbance Predictive Control

Due to their ability to adapt to different terrains, quadruped robots ha...

0 Qingfeng Yao, et al. ∙

research

∙ 01/05/2022

Few-shot Domain Adaptation for IMU Denoising

Different application scenarios will cause IMU to exhibit different erro...

0 Feiyu Yao, et al. ∙

research

∙ 11/13/2021

Learning to Evolve on Dynamic Graphs

Representation learning in dynamic graphs is a challenging problem becau...

0 Xintao Xiang, et al. ∙

research

∙ 11/12/2021

Mobility prediction Based on Machine Learning Algorithms

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

0 Donglin Wang, et al. ∙

research

∙ 10/25/2021

Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning

Unsupervised reinforcement learning aims to acquire skills without prior...

0 Jinxin Liu, et al. ∙

research

∙ 10/21/2021

Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain

We propose an approach for inverse reinforcement learning from hetero-do...

0 Yachen Kang, et al. ∙

research

∙ 10/15/2021

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

In this work, we perform semantic segmentation of multiple defect types ...

16 fds.fds, et al. ∙

research

∙ 04/27/2021

Adaptive Adversarial Training for Meta Reinforcement Learning

Meta Reinforcement Learning (MRL) enables an agent to learn from a limit...

0 Shiqi Chen, et al. ∙

research

∙ 04/16/2021

Pareto Self-Supervised Training for Few-Shot Learning

While few-shot learning (FSL) aims for rapid generalization to new conce...

0 Zhengyu Chen, et al. ∙

research

∙ 04/11/2021

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

It is of significance for an agent to learn a widely applicable and gene...

0 Jinxin Liu, et al. ∙

research

∙ 12/10/2020

DA-HGT: Domain Adaptive Heterogeneous Graph Transformer

Domain adaptation using graph networks is to learn label-discriminative ...

0 Tiancheng Huang, et al. ∙

research

∙ 12/10/2020

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

Vision-and-language navigation (VLN) is a challenging task that requires...

0 Ting Wang, et al. ∙

research

∙ 09/10/2020

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

The purpose of few-shot recognition is to recognize novel categories wit...

0 Siteng Huang, et al. ∙

research

∙ 07/17/2020

Effect of Retransmissions on the Performance of C-V2X Communication for 5G

In recent years, the next generation of wireless communication (5G) play...

0 Donglin Wang, et al. ∙

research

∙ 04/10/2019

System-Level Simulator of LTE Sidelink C-V2X Communication for 5G

In recent years, Cellular-Vehicle-to-Everything (CV2X) has been an emerg...

0 Donglin Wang, et al. ∙

research

∙ 04/10/2019

Performances of C-V2X Communication on Highway under Varying Channel Propagation Models

In recent decades, both the industry and the academy society are sparing...

0 Donglin Wang, et al. ∙

Donglin Wang

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