Search Results for author: Zhuo Xu

Found 20 papers, 2 papers with code

SSHPool: The Separated Subgraph-based Hierarchical Pooling

no code implementations24 Mar 2024 Zhuo Xu, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock

To this end, we commence by assigning the nodes of a sample graph into different clusters, resulting in a family of separated subgraphs.

Graph Classification

MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts

no code implementations9 Mar 2024 Zhuo Xu, Rui Zhou, Yida Yin, Huidong Gao, Masayoshi Tomizuka, Jiachen Li

Data-driven methods have great advantages in modeling complicated human behavioral dynamics and dealing with many human-robot interaction applications.

Data Augmentation Motion Planning

Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus

no code implementations15 Jun 2022 Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R Hancock

To alleviate the challenges of building Knowledge Graphs (KG) from scratch, a more general task is to enrich a KG using triples from an open corpus, where the obtained triples contain noisy entities and relations.

Event Extraction Knowledge Graphs

Writing Style Aware Document-level Event Extraction

no code implementations10 Jan 2022 Zhuo Xu, Yue Wang, Lu Bai, Lixin Cui

This verifies the writing style contains valuable information that could improve the performance of the event extraction task.

Document-level Event Extraction Event Extraction +1

Ghost Imaging Based on Recurrent Neural Network

no code implementations1 Dec 2021 Yuchen He, Sihong Duan, Jianxing Li, Hui Chen, Huaibin Zheng, Jianbin Liu, Yu Zhou, Zhuo Xu

The testing results show that the proposed method can achieve image reconstruction at a very low sampling rate (0. 38$\%$).

Image Reconstruction

Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting

no code implementations29 Sep 2021 Rui Zhou, HongYu Zhou, Huidong Gao, Masayoshi Tomizuka, Jiachen Li, Zhuo Xu

Accurate, long-term forecasting of pedestrian trajectories in highly dynamic and interactive scenes is a long-standing challenge.

Trajectory Forecasting

History Encoding Representation Design for Human Intention Inference

no code implementations4 Jun 2021 Zhuo Xu, Masayoshi Tomizuka

In this extended abstract, we investigate the design of learning representation for human intention inference.

Speckles-Training-Based Denoising Convolutional Neural Network Ghost Imaging

no code implementations7 Apr 2021 Yuchen He, Sihong Duan, Jianxing Li, Hui Chen, Huaibin Zheng, Jianbin Liu, Shitao Zhu, Zhuo Xu

Ghost imaging (GI) has been paid attention gradually because of its lens-less imaging capability, turbulence-free imaging and high detection sensitivity.

Denoising

Generative-Adversarial-Networks-based Ghost Recognition

no code implementations25 Mar 2021 Yuchen He, Yibing Chen, Sheng Luo, Hui Chen, Jianxing Li, Zhuo Xu

The proposed method can improve the problems caused by conventional recognition methods that based on target image information, and provide a certain turbulence-free ability.

Image Reconstruction

RoBERTa-wwm-ext Fine-Tuning for Chinese Text Classification

1 code implementation24 Feb 2021 Zhuo Xu

Bidirectional Encoder Representations from Transformers (BERT) have shown to be a promising way to dramatically improve the performance across various Natural Language Processing tasks [Devlin et al., 2019].

General Classification Language Modelling +2

COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing

no code implementations23 Nov 2020 Zhuo Xu, Wenhao Yu, Alexander Herzog, Wenlong Lu, Chuyuan Fu, Masayoshi Tomizuka, Yunfei Bai, C. Karen Liu, Daniel Ho

General contact-rich manipulation problems are long-standing challenges in robotics due to the difficulty of understanding complicated contact physics.

Reinforcement Learning (RL) Robot Manipulation

Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks

no code implementations13 Oct 2020 Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu

To verify the effectiveness of our proposed method, we conduct extensive experiments on four real-world datasets as well as compare our method with state-of-the-art methods.

Event Extraction TAG

Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control

no code implementations7 Dec 2018 Zhuo Xu, Chen Tang, Masayoshi Tomizuka

Although deep reinforcement learning (deep RL) methods have lots of strengths that are favorable if applied to autonomous driving, real deep RL applications in autonomous driving have been slowed down by the modeling gap between the source (training) domain and the target (deployment) domain.

Autonomous Driving

Cascade Attribute Learning Network

no code implementations24 Nov 2017 Zhuo Xu, Haonan Chang, Masayoshi Tomizuka

We propose the cascade attribute learning network (CALNet), which can learn attributes in a control task separately and assemble them together.

Attribute Position +1

Imaging around corners with single-pixel detector by computational ghost imaging

no code implementations8 Dec 2016 Bin Bai, Jianbin Liu, Yu Zhou, Songlin Zhang, Yuchen He, Zhuo Xu

We have designed a single-pixel camera with imaging around corners based on computational ghost imaging.

Object

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