Liansheng Zhuang

Orcid: 0000-0002-4345-856X

According to our database1, Liansheng Zhuang authored at least 63 papers between 2008 and 2024.

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Bibliography

2024
Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2024

A Robust Framework for One-Shot Key Information Extraction via Deep Partial Graph Matching.
IEEE Trans. Image Process., 2024

Hierarchical Prompts for Rehearsal-free Continual Learning.
CoRR, 2024

Fact Embedding through Diffusion Model for Knowledge Graph Completion.
Proceedings of the ACM on Web Conference 2024, 2024

Private Gradient Estimation is Useful for Generative Modeling.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Conservative In-Distribution Q-Learning for Offline Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

Learning Label Dependencies for Visual Information Extraction.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Dual Structural Knowledge Interaction for Domain Adaptation.
IEEE Trans. Multim., 2023

Learning Differentially Private Probabilistic Models for Privacy-Preserving Image Generation.
CoRR, 2023

Learning a Robust Model with Pseudo Boundaries for Noisy Temporal Action Localization.
Proceedings of the ACM Multimedia Asia 2023, 2023

Learning Generalized Representations for Open-Set Temporal Action Localization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Two-stage Content-Aware Layout Generation for Poster Designs.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Curriculum Learning Based Multi-Agent Path Finding for Complex Environments.
Proceedings of the International Joint Conference on Neural Networks, 2023

Bayesian Sharpness-Aware Prompt Tuning for Cross-Domain Few-shot Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

LayoutDM: Transformer-based Diffusion Model for Layout Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-Agent Path Finding via Reinforcement Learning with Hybrid Reward.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Seek Common Ground While Reserving Differences: A Model-Agnostic Module for Noisy Domain Adaptation.
IEEE Trans. Multim., 2022

Margin-Based Adversarial Joint Alignment Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol., 2022

PMIVec: a word embedding model guided by point-wise mutual information criterion.
Multim. Syst., 2022

Question-relationship guided graph attention network for visual question answer.
Multim. Syst., 2022

MEViT: Motion Enhanced Video Transformer for Video Classification.
Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

Estimation of Reliable Proposal Quality for Temporal Action Detection.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

VAAC: V-value Attention Actor-Critic for Cooperative Multi-agent Reinforcement Learning.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Efficient Double Oracle for Extensive-Form Two-Player Zero-Sum Games.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Neural-based Mixture Probabilistic Query Embedding for Answering FOL queries on Knowledge Graphs.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

HaViT: Hybrid-Attention Based Vision Transformer for Video Classification.
Proceedings of the Computer Vision - ACCV 2022, 2022

Learning Common and Specific Visual Prompts for Domain Generalization.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
One-shot Key Information Extraction from Document with Deep Partial Graph Matching.
CoRR, 2021

Learn the Approximation Distribution of Sparse Coding with Mixture Sparsity Network.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Path Ranking Model for Entity Prediction.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020
Soft Hindsight Experience Replay.
CoRR, 2020

Quantile Regression Hindsight Experience Replay.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Phrase-Level Global-Local Hybrid Model For Sentence Embedding.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Time-Sensitive Collaborative Interest Aware Model for Session-Based Recommendation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

2019
Dynamic Cascaded Regression Network with Reinforcement Learning for Robust Face Alignment.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Learning Motion-Aware Policies for Robust Visual Tracking.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Continuous Sign Language Recognition via Reinforcement Learning.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
A Feature-Adaptive Semi-Supervised Framework for Co-saliency Detection.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

CCNet: Cluster-Coordinated Net for Learning Multi-agent Communication Protocols with Reinforcement Learning.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017
Label Information Guided Graph Construction for Semi-Supervised Learning.
IEEE Trans. Image Process., 2017

2016
Locality-preserving low-rank representation for graph construction from nonlinear manifolds.
Neurocomputing, 2016

Multi-level visual tracking with hierarchical tree structural constraint.
Neurocomputing, 2016

Part-based multi-graph ranking for visual tracking.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Constructing a Nonnegative Low-Rank and Sparse Graph With Data-Adaptive Features.
IEEE Trans. Image Process., 2015

Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment.
Int. J. Comput. Vis., 2015

Neither Global Nor Local: Regularized Patch-Based Representation for Single Sample Per Person Face Recognition.
Int. J. Comput. Vis., 2015

Online shared dictionary learning for visual tracking.
Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015

2014
Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features.
CoRR, 2014

Unsupervised Feature Learning for RGB-D Image Classification.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Regularized Semi-Supervised Latent Dirichlet Allocation for visual concept learning.
Neurocomputing, 2013

Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Non-negative low rank and sparse graph for semi-supervised learning.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Regularized Semi-supervised Latent Dirichlet Allocation for Visual Concept Learning.
Proceedings of the Advances in Multimedia Modeling, 2011

Semi-supervised Classification via Low Rank Graph.
Proceedings of the Sixth International Conference on Image and Graphics, 2011

Dynamic Background Subtraction Using Spatial-Color Binary Patterns.
Proceedings of the Sixth International Conference on Image and Graphics, 2011

A New Graph Constructor for Semi-supervised Discriminant Analysis via Group Sparsity.
Proceedings of the Sixth International Conference on Image and Graphics, 2011

2010
A robust part-based tracker.
Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, 2010

SVD based linear filtering in DCT domain.
Proceedings of the International Conference on Image Processing, 2010

2009
Low-Resolution Face Recognition via Sparse Representation of Patches.
Proceedings of the Fifth International Conference on Image and Graphics, 2009

Image Classification via Semi-supervised pLSA.
Proceedings of the Fifth International Conference on Image and Graphics, 2009

Unsupervised Object Learning with AM-pLSA.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2008
Learning object from small and imbalanced dataset with Boost-BFKO.
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008


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