Zhenguang Liu

According to our database1, Zhenguang Liu authored at least 66 papers between 2014 and 2022.

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Bibliography

2022
GPS2Vec: Pre-Trained Semantic Embeddings for Worldwide GPS Coordinates.
IEEE Trans. Multim., 2022

Exploring lottery ticket hypothesis in media recommender systems.
Int. J. Intell. Syst., 2022

Copy Motion From One to Another: Fake Motion Video Generation.
CoRR, 2022

2D Human Pose Estimation: A Survey.
CoRR, 2022

Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings.
CoRR, 2022

Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation.
CoRR, 2022

3D Human Motion Prediction: A Survey.
CoRR, 2022

DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity.
CoRR, 2022

2021
A Truthful and Near-Optimal Mechanism for Colocation Emergency Demand Response.
IEEE Trans. Mob. Comput., 2021

Hierarchical multi-view context modelling for 3D object classification and retrieval.
Inf. Sci., 2021

Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction.
CoRR, 2021

TEGDetector: A Phishing Detector that Knows Evolving Transaction Behaviors.
CoRR, 2021

Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection.
CoRR, 2021

Learning Intents behind Interactions with Knowledge Graph for Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning Multi-context Aware Location Representations from Large-scale Geotagged Images.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Dual Learning Music Composition and Dance Choreography.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Motion Prediction via Joint Dependency Modeling in Phase Space.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Learning Human Motion Prediction via Stochastic Differential Equations.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Motion Prediction using Trajectory Cues.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Parallel Multi-Graph Convolution Network For Metro Passenger Volume Prediction.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Deep Dual Consecutive Network for Human Pose Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Detecting Missed Security Operations Through Differential Checking of Object-based Similar Paths.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Enhanced Audio Tagging via Multi- to Single-Modal Teacher-Student Mutual Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Aggregated Multi-GANs for Controlled 3D Human Motion Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

A Spatial Regulated Patch-Wise Approach for Cervical Dysplasia Diagnosis.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Massive-Scale Genre Communities Learning Using a Noise-Tolerant Deep Architecture.
IEEE Trans. Multim., 2020

Handwriting posture prediction based on unsupervised model.
Pattern Recognit., 2020

Fast and parameter-light rare behavior detection in maritime trajectories.
Inf. Process. Manag., 2020

Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models.
IEEE Access, 2020

Zero-Shot Multi-View Indoor Localization via Graph Location Networks.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Smart Contract Vulnerability Detection using Graph Neural Network.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Interactive Rare-Category-of-Interest Mining from Large Datasets.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Special issue on multimedia recommendation and multi-modal data analysis.
Multim. Syst., 2019

Multi-Level Fusion based Class-aware Attention Model for Weakly Labeled Audio Tagging.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

A Truthful FPTAS Mechanism for Emergency Demand Response in Colocation Data Centers.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

GPS2Vec: Towards Generating Worldwide GPS Embeddings.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Towards Natural and Accurate Future Motion Prediction of Humans and Animals.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Digital Resource Rights Confirmation and Infringement Tracking Based on Smart Contracts.
Proceedings of the 6th IEEE International Conference on Cloud Computing and Intelligence Systems, 2019

EduCoin: a Secure and Efficient Payment Solution for MOOC Environment.
Proceedings of the IEEE International Conference on Blockchain, 2019

2018
Toward Personalized Activity Level Prediction in Community Question Answering Websites.
ACM Trans. Multim. Comput. Commun. Appl., 2018

NAIS: Neural Attentive Item Similarity Model for Recommendation.
IEEE Trans. Knowl. Data Eng., 2018

Camera-Assisted Video Saliency Prediction and Its Applications.
IEEE Trans. Cybern., 2018

Perceptual multi-channel visual feature fusion for scene categorization.
Inf. Sci., 2018

Rare category exploration with noisy labels.
Expert Syst. Appl., 2018

Rapido: A Layer2 Payment System for Decentralized Currencies.
CoRR, 2018

Multi-Modal Multi-Task Learning for Automatic Dietary Assessment.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Media Quality Assessment by Perceptual Gaze-Shift Patterns Discovery.
IEEE Trans. Multim., 2017

Fusion of Magnetic and Visual Sensors for Indoor Localization: Infrastructure-Free and More Effective.
IEEE Trans. Multim., 2017

Weakly Supervised Multimodal Kernel for Categorizing Aerial Photographs.
IEEE Trans. Image Process., 2017

Behavior pattern clustering in blockchain networks.
Multim. Tools Appl., 2017

False data separation for data security in smart grids.
Knowl. Inf. Syst., 2017

Pooling-Based Quantitative Approach to Evaluating Binarization Algorithms.
IEEE Multim., 2017

I Ate This: A Photo-based Food Journaling System with Expert Feedback.
CoRR, 2017

FastShrinkage: Perceptually-aware Retargeting Toward Mobile Platforms.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Multiview and Multimodal Pervasive Indoor Localization.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Geographic information use in weakly-supervised deep learning for landmark recognition.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

2016
A formalized framework for incorporating expert labels in crowdsourcing environment.
J. Intell. Inf. Syst., 2016

Rare category exploration via wavelet analysis: Theory and applications.
Expert Syst. Appl., 2016

Laplacian Sparse Coding of Scenes for Video Classification.
Proceedings of the IEEE International Symposium on Multimedia, 2016

2015
Rare Category Detection Forest.
Proceedings of the Knowledge Science, Engineering and Management, 2015

Rare Category Exploration on Linear Time Complexity.
Proceedings of the Database Systems for Advanced Applications, 2015

2014
Toward seed-insensitive solutions to local community detection.
J. Intell. Inf. Syst., 2014

Prior-free rare category detection: More effective and efficient solutions.
Expert Syst. Appl., 2014

Rare Category Detection on O(dN) Time Complexity.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Learning from Crowds under Experts' Supervision.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014


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