Sen Wang

Orcid: 0000-0002-5414-8276

Affiliations:
  • University of Queensland, Brisbane, Australia
  • Griffith University, Brisbane, Australia


According to our database1, Sen Wang authored at least 114 papers between 2012 and 2024.

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Bibliography

2024
Tokens on Demand: Token Condensation as Training-free Test-time Adaptation.
CoRR, 2024

TokenBinder: Text-Video Retrieval with One-to-Many Alignment Paradigm.
CoRR, 2024

EMIT- Event-Based Masked Auto Encoding for Irregular Time Series.
CoRR, 2024

GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Towards Cost-Efficient Federated Multi-agent RL with Learnable Aggregation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Event-Content-Oriented Dialogue Generation in Short Video.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Navigating Beyond Instructions: Vision-and-Language Navigation in Obstructed Environments.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Why Only Text: Empowering Vision-and-Language Navigation with Multi-modal Prompts.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Uncertainty Estimation With Neural Processes for Meta-Continual Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Dual-core mutual learning between scoring systems and clinical features for ICU mortality prediction.
Inf. Sci., August, 2023

Artificial Intelligence in Evidence-based Medicine: Challenges and Opportunities.
World Sci. Annu. Rev. Artif. Intell., 2023

GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning.
IEEE Trans. Multim., 2023

In Search of Lost Online Test-time Adaptation: A Survey.
CoRR, 2023

Understanding the Effects of Projectors in Knowledge Distillation.
CoRR, 2023

RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Object Detection Difficulty: Suppressing Over-aggregation for Faster and Better Video Object Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Zero-Shot Learning by Harnessing Adversarial Samples.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Plug n' Play Channel Shuffle Module for Enhancing Tiny Vision Transformers.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

No Token Left Behind: Efficient Vision Transformer via Dynamic Token Idling.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022
Information Resilience: the nexus of responsible and agile approaches to information use.
VLDB J., 2022

A multi-level neural network for implicit causality detection in web texts.
Neurocomputing, 2022

Federated Zero-Shot Learning for Visual Recognition.
CoRR, 2022

Improved Feature Distillation via Projector Ensemble.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Discovering Domain Disentanglement for Generalized Multi-Source Domain Adaptation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

InDISP: An Interpretable Model for Dynamic Illness Severity Prediction.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
Explaining similarity for SPARQL queries.
World Wide Web, 2021

Scalable Estimator for Multi-task Gaussian Graphical Models Based in an IoT Network.
ACM Trans. Sens. Networks, 2021

Exploring BCI Control in Smart Environments: Intention Recognition Via EEG Representation Enhancement Learning.
ACM Trans. Knowl. Discov. Data, 2021

Deep dynamic imputation of clinical time series for mortality prediction.
Inf. Sci., 2021

Efficient search over incomplete knowledge graphs in binarized embedding space.
Future Gener. Comput. Syst., 2021

MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning.
CoRR, 2021

Semantic Disentangling Generalized Zero-Shot Learning.
CoRR, 2021

SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation.
Big Data Res., 2021

Is Visual Context Really Helpful for Knowledge Graph? A Representation Learning Perspective.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Mitigating Generation Shifts for Generalized Zero-Shot Learning.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Local Graph Convolutional Networks for Cross-Modal Hashing.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Self-Supervised Adversarial Distribution Regularization for Medication Recommendation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Sequential Diagnosis Prediction with Transformer and Ontological Representation.
Proceedings of the IEEE International Conference on Data Mining, 2021

Global Convolutional Neural Processes.
Proceedings of the IEEE International Conference on Data Mining, 2021

Semantics Disentangling for Generalized Zero-Shot Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Editorial for application-driven knowledge acquisition.
World Wide Web, 2020

Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition.
IEEE Trans. Cybern., 2020

Self-attention Enhanced Patient Journey Understanding in Healthcare System.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Memory-Based Network for Scene Graph with Unbalanced Relations.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

ZSTAD: Zero-Shot Temporal Activity Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

One-Shot Learning for Long-Tail Visual Relation Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Adaptive Two-Dimensional Embedded Image Clustering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Decentralized Learning with Average Difference Aggregation for Proactive Online Social Care.
CoRR, 2019

Collective Protection: Preventing Sensitive Inferences via Integrative Transformation.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Learning Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Learning to Hash for Efficient Search Over Incomplete Knowledge Graphs.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Temporal Self-Attention Network for Medical Concept Embedding.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Detecting Suicidal Ideation with Data Protection in Online Communities.
Proceedings of the Database Systems for Advanced Applications, 2019

Deep Interpretable Mortality Model for Intensive Care Unit Risk Prediction.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

Distributionally Robust Semi-Supervised Learning for People-Centric Sensing.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Collaborative text categorization via exploiting sparse coefficients.
World Wide Web, 2018

Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength.
IEEE Trans. Mob. Comput., 2018

A Multiview Learning Framework With a Linear Computational Cost.
IEEE Trans. Cybern., 2018

Answering why-not questions on semantic multimedia queries.
Multim. Tools Appl., 2018

Behavior-Interior-Aware User Preference Analysis Based on Social Networks.
Complex., 2018

EEG-based Motion Intention Recognition via Multi-task RNNs.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Fuzzy Integral Optimization with Deep Q-Network for EEG-Based Intention Recognition.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

NeuRec: On Nonlinear Transformation for Personalized Ranking.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi-modality Sensor Data Classification with Selective Attention.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit.
Proceedings of the IEEE International Conference on Data Mining, 2018

Ready for Use: Subject-Independent Movement Intention Recognition via a Convolutional Attention Model.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Trace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant Analysis.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Learning Multiple Diagnosis Codes for ICU Patients with Local Disease Correlation Mining.
ACM Trans. Knowl. Discov. Data, 2017

Unsupervised 2D Dimensionality Reduction with Adaptive Structure Learning.
Neural Comput., 2017

Graph-based clustering and ranking for diversified image search.
Multim. Syst., 2017

Multi-factors based sentence ordering for cross-document fusion from multimodal content.
Neurocomputing, 2017

Safe Medicine Recommendation via Medical Knowledge Graph Embedding.
CoRR, 2017

EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks.
CoRR, 2017

PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking.
Proceedings of the Semantic Web - ISWC 2017, 2017

Connecting Social Media Data with Observed Hybrid Data for Environment Monitoring.
Proceedings of the Intelligent Distributed Computing XI - Proceedings of the 11th International Symposium on Intelligent Distributed Computing, 2017

Hybrid Collaborative Recommendation via Semi-AutoEncoder.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Improving Chinese Sentiment Analysis via Segmentation-Based Representation Using Parallel CNN.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

Provenance-Based Rumor Detection.
Proceedings of the Databases Theory and Applications, 2017

An Embedded Feature Selection Framework for Hybrid Data.
Proceedings of the Databases Theory and Applications, 2017

Multi-View Correlated Feature Learning by Uncovering Shared Component.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Multi-label classification via learning a unified object-label graph with sparse representation.
World Wide Web, 2016

Compact representation for large-scale unconstrained video analysis.
World Wide Web, 2016

Compound Rank-k Projections for Bilinear Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2016

Diagnosis Code Assignment Using Sparsity-Based Disease Correlation Embedding.
IEEE Trans. Knowl. Data Eng., 2016

Multi-task support vector machines for feature selection with shared knowledge discovery.
Signal Process., 2016

Uncovering Locally Discriminative Structure for Feature Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Learning from less for better: semi-supervised activity recognition via shared structure discovery.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Learning Graph-based POI Embedding for Location-based Recommendation.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Classification Based on Compressive Multivariate Time Series.
Proceedings of the Databases Theory and Applications, 2016

2015
Unsupervised Feature Analysis with Class Margin Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Unobtrusive Posture Recognition via Online Learning of Multi-dimensional RFID Received Signal Strength.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

Freedom: Online Activity Recognition via Dictionary-Based Sparse Representation of RFID Sensing Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
Effective Algorithms for Human Action Recognition
PhD thesis, 2014

Structured Streaming Skeleton - A New Feature for Online Human Gesture Recognition.
ACM Trans. Multim. Comput. Commun. Appl., 2014

Semi-Supervised Multiple Feature Analysis for Action Recognition.
IEEE Trans. Multim., 2014

Compound Rank-k Projections for Bilinear Analysis.
CoRR, 2014

Semi-supervised Feature Analysis for Multimedia Annotation by Mining Label Correlation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Mining Personal Health Index from Annual Geriatric Medical Examinations.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
Human action recognition based on semi-supervised discriminant analysis with global constraint.
Neurocomputing, 2013

Computing Unrestricted Synopses Under Maximum Error Bound.
Algorithmica, 2013

Fall detection in multi-camera surveillance videos: experimentations and observations.
Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare, 2013

Online Action Recognition by Template Matching.
Proceedings of the Health Information Science - Second International Conference, 2013

2012
On the Prediction of Re-tweeting Activities in Social Networks - A Report on WISE 2012 Challenge.
Proceedings of the Web Information Systems Engineering - WISE 2012, 2012

Action recognition by exploring data distribution and feature correlation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012


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