Search Results for author: Tong Liu

Found 28 papers, 7 papers with code

Autonomous Platoon Control with Integrated Deep Reinforcement Learning and Dynamic Programming

no code implementations15 Jun 2022 Tong Liu, Lei Lei, Kan Zheng, Kuan Zhang

Deep Reinforcement Learning (DRL) is regarded as a potential method for car-following control and has been mostly studied to support a single following vehicle.

reinforcement-learning

On Calibration of Graph Neural Networks for Node Classification

1 code implementation3 Jun 2022 Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp

We investigate the calibration of graph neural networks for node classification, study the effect of existing post-processing calibration methods, and analyze the influence of model capacity, graph density, and a new loss function on calibration.

Classification Link Prediction +1

Adaptive Pseudo-Siamese Policy Network for Temporal Knowledge Prediction

no code implementations26 Apr 2022 Pengpeng Shao, Tong Liu, Feihu Che, Dawei Zhang, JianHua Tao

Specifically, we design the policy network in our model as a pseudo-siamese policy network that consists of two sub-policy networks.

Knowledge Graphs Link Prediction

Adaptive Observer for a Class of Systems with Switched Unknown Parameters Using DREM

no code implementations30 Mar 2022 Tong Liu, Zengjie Zhang, Fangzhou Liu, Martin Buss

These responses depend on the unknown states at switching instants (SASI) and constitute an additive disturbance to the parameter estimation, which obstructs parameter convergence to zero.

Deep Reinforcement Learning Aided Platoon Control Relying on V2X Information

no code implementations28 Mar 2022 Lei Lei, Tong Liu, Kan Zheng, Lajos Hanzo

In this context, the value of V2X communications for DRL-based platoon controllers is studied with an emphasis on the tradeoff between the gain of including exogenous information in the system state for reducing uncertainty and the performance erosion due to the curse-of-dimensionality.

reinforcement-learning

Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training

no code implementations14 Mar 2022 Jiahao Shao, Shijia Geng, Zhaoji Fu, Weilun Xu, Tong Liu, Shenda Hong

The results show that our method performed more effectively against adversarial attacks targeting on ECG classification than the other baseline methods, namely, adversarial training, defensive distillation, Jacob regularization, and noise-to-signal ratio regularization.

Adversarial Attack Classification +1

On the evaluation of (meta-)solver approaches

no code implementations17 Feb 2022 Roberto Amadini, Maurizio Gabbrielli, Tong Liu, Jacopo Mauro

Meta-solver approaches exploits a number of individual solvers to potentially build a better solver.

Training a Bidirectional GAN-based One-Class Classifier for Network Intrusion Detection

no code implementations2 Feb 2022 Wen Xu, Julian Jang-Jaccard, Tong Liu, Fariza Sabrina

The network intrusion detection task is challenging because of the imbalanced and unlabeled nature of the dataset it operates on.

Anomaly Detection Network Intrusion Detection +1

From Known to Unknown: Knowledge-guided Transformer for Time-Series Sales Forecasting in Alibaba

no code implementations17 Sep 2021 Xinyuan Qi, Kai Hou, Tong Liu, Zhongzhong Yu, Sihao Hu, Wenwu Ou

Except for introducing future knowledge for prediction, we propose Aliformer based on the bidirectional Transformer, which can utilize the historical information, current factor, and future knowledge to predict future sales.

Time Series Forecasting

Multi-Level Graph Contrastive Learning

no code implementations6 Jul 2021 Pengpeng Shao, Tong Liu, Dawei Zhang, JianHua Tao, Feihu Che, Guohua Yang

In this paper, we propose a Multi-Level Graph Contrastive Learning (MLGCL) framework for learning robust representation of graph data by contrasting space views of graphs.

Contrastive Learning Graph Representation Learning +3

Photometric space object classification via deep learning algorithms

no code implementations Acta Astronautica 2021 Tong Liu, K. Ulrich Schreiber ∗

Accurate time transfer by time of flight measurements via diffuse reflections on passive orbiting space debris targets requires a selection of suitable objects out of a large catalogue of debris items.

Classification Classification with Binary Neural Network

Model Reference Adaptive Control of Piecewise Affine Systems with State Tracking Performance Guarantees

no code implementations4 Mar 2021 Tong Liu, Martin Buss

We also prove that the Lyapunov function is non-increasing even at the switching instants and thus does not impose extra dwell time constraints.

Comparison of prismatic cohomology and derived de Rham cohomology

no code implementations28 Dec 2020 Shizhang Li, Tong Liu

We establish a comparison isomorphism between prismatic cohomology and derived de Rham cohomology respecting various structures, such as their Frobenius actions and filtrations.

Algebraic Geometry Number Theory 14F30, 11F80

Self-supervised Graph Representation Learning via Bootstrapping

no code implementations10 Nov 2020 Feihu Che, Guohua Yang, Dawei Zhang, JianHua Tao, Pengpeng Shao, Tong Liu

In addition, we summarize three kinds of augmentation methods for graph-structured data and apply them to the DGB.

Graph Representation Learning

ECG Beats Fast Classification Base on Sparse Dictionaries

1 code implementation8 Sep 2020 Nanyu Li, Yujuan Si, Di Wang, Tong Liu, Jinrun Yu

In VQ method, a set of dictionaries corresponding to segments of ECG beats is trained, and VQ codes are used to represent each heartbeat.

Classification Dictionary Learning +3

sunny-as2: Enhancing SUNNY for Algorithm Selection

1 code implementation7 Sep 2020 Tong Liu, Roberto Amadini, Jacopo Mauro, Maurizio Gabbrielli

A preliminary version of sunny-as2 was submitted to the Open Algorithm Selection Challenge (OASC) in 2017, where it turned out to be the best approach for the runtime minimization of decision problems.

feature selection

Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer

1 code implementation4 Feb 2020 Tong Liu, Zhaowei Chen, Yi Yang, Zehao Wu, Haowei Li

Nowadays, deep learning techniques are widely used for lane detection, but application in low-light conditions remains a challenge until this day.

Lane Detection Multi-Task Learning +1

Twitter Job/Employment Corpus: A Dataset of Job-Related Discourse Built with Humans in the Loop

no code implementations30 Jan 2019 Tong Liu, Christopher M. Homan

We present the Twitter Job/Employment Corpus, a collection of tweets annotated by a humans-in-the-loop supervised learning framework that integrates crowdsourcing contributions and expertise on the local community and employment environment.

Segmentation of histological images and fibrosis identification with a convolutional neural network

no code implementations20 Mar 2018 Xiaohang Fu, Tong Liu, Zhaohan Xiong, Bruce H. Smaill, Martin K. Stiles, Jichao Zhao

Segmentation of histological images is one of the most crucial tasks for many biomedical analyses including quantification of certain tissue type.

Learning from various labeling strategies for suicide-related messages on social media: An experimental study

1 code implementation30 Jan 2017 Tong Liu, Qijin Cheng, Christopher M. Homan, Vincent M. B. Silenzio

Suicide is an important but often misunderstood problem, one that researchers are now seeking to better understand through social media.

Cannot find the paper you are looking for? You can Submit a new open access paper.