Shao-Lun Huang
Orcid: 0000-0003-2827-4022
According to our database1,
Shao-Lun Huang
authored at least 135 papers
between 2009 and 2024.
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Bibliography
2024
HGR Correlation Pooling Fusion Framework for Recognition and Classification in Multimodal Remote Sensing Data.
Remote. Sens., May, 2024
MHFNet: An Improved HGR Multimodal Network for Informative Correlation Fusion in Remote Sensing Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
On the Fundamental Limit of Distributed Learning With Interchangable Constrained Statistics.
IEEE J. Sel. Areas Inf. Theory, 2024
On the rate-distortion-perception-semantics tradeoff in low-rate regime for lossy compression.
J. Frankl. Inst., 2024
Found. Trends Commun. Inf. Theory, 2024
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting.
CoRR, 2024
Bounds on f-Divergences between Distributions within Generalized Quasi-ε-Neighborhood.
CoRR, 2024
Second-Order Characterization of Minimax Parameter Estimation in Restricted Parameter Space.
Proceedings of the IEEE International Symposium on Information Theory, 2024
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Proceedings of the IEEE International Conference on Communications, 2024
NAC: Mitigating Noisy Correspondence in Cross-Modal Matching Via Neighbor Auxiliary Corrector.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
J. Frankl. Inst., November, 2023
Entropy, October, 2023
IEEE Trans. Games, June, 2023
SSLCL: An Efficient Model-Agnostic Supervised Contrastive Learning Framework for Emotion Recognition in Conversations.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
An Information Theoretic Approach for Collaborative Distributed Parameter Estimation.
Proceedings of the IEEE International Symposium on Information Theory, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE Global Communications Conference, 2023
A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 59th Annual Allerton Conference on Communication, 2023
Optimal Error Exponent of Type-Based Distributed Hypothesis Testing over AWGN Channels.
Proceedings of the 59th Annual Allerton Conference on Communication, 2023
MultiEMO: An Attention-Based Correlation-Aware Multimodal Fusion Framework for Emotion Recognition in Conversations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Interpretable Real-Time Win Prediction for Honor of Kings - A Popular Mobile MOBA Esport.
IEEE Trans. Games, 2022
IEEE J. Sel. Areas Inf. Theory, 2022
IEEE J. Sel. Areas Commun., 2022
Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge.
CoRR, 2022
Comput. Aided Civ. Infrastructure Eng., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication.
Proceedings of the IEEE Information Theory Workshop, 2022
Proceedings of the IEEE Information Theory Workshop, 2022
A Mathematical Framework to Characterize the Dependency Structures in Multimodal Learning with Minimax Principle.
Proceedings of the IEEE International Symposium on Information Theory, 2022
FedPer++: Toward Improved Personalized Federated Learning on Heterogeneous and Imbalanced Data.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022
Multi-source Transfer Learning for Signal Detection over a Fading Channel with Co-channel Interference.
Proceedings of the IEEE International Conference on Communications, 2022
Communication-Efficient and Byzantine-Robust Distributed Stochastic Learning with Arbitrary Number of Corrupted Workers.
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
A General Framework For Incomplete Cross-Modal Retrieval With Missing Labels And Missing Modalities.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 58th Annual Allerton Conference on Communication, 2022
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Inf. Theory, 2021
SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering.
CoRR, 2021
CoRR, 2021
DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning.
CoRR, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
A Semi-supervised Learning Approach for Visual Question Answering based on Maximal Correlation.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning.
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021
Proceedings of the IEEE Information Theory Workshop, 2021
Proceedings of the IEEE Information Theory Workshop, 2021
Proceedings of the IEEE Information Theory Workshop, 2021
Proceedings of the IEEE International Symposium on Information Theory, 2021
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
Enhancing Neural Network Based Hybrid Learning with Empirical Wavelet Transform for Time Series Forecasting.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
Dual Feature Distributional Regularization for Defending Against Adversarial Attacks.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
An Efficient Approach for Audio-Visual Emotion Recognition With Missing Labels And Missing Modalities.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
2021 CAD Contest Problem A: Functional ECO with Behavioral Change Guidance Invited Paper.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
TriboGait: A deep learning enabled triboelectric gait sensor system for human activity recognition and individual identification.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
Mob. Networks Appl., 2020
An Information-Theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data.
IEEE J. Sel. Areas Inf. Theory, 2020
Intell. Converged Networks, 2020
Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks.
CoRR, 2020
Interpretable Real-Time Win Prediction for Honor of Kings, a Popular Mobile MOBA Esport.
CoRR, 2020
On the Optimal Tradeoff Between Computational Efficiency and Generalizability of Oja's Algorithm.
IEEE Access, 2020
Proceedings of the 2020 IEEE World Congress on Services, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the IEEE International Symposium on Information Theory, 2020
Proceedings of the IEEE International Symposium on Information Theory, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Anomaly detection in surface mount technology process using multi-modal data: poster abstract.
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019
Proceedings of the 2019 IEEE Information Theory Workshop, 2019
Mining Mobility Patterns with Trip-Based Traffic Analysis Zones: A Deep Feature Embedding Approach.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
Proceedings of the 18th International Conference on Information Processing in Sensor Networks, 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
An End-to-End Learning Approach for Multimodal Emotion Recognition: Extracting Common and Private Information.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
On the Asymptotic Sample Complexity of HGR Maximal Correlation Functions in Semi-supervised Learning.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
A Spectral Reconstruction Algorithm of Miniature Spectrometer Based on Sparse Optimization and Dictionary Learning.
Sensors, 2018
Multimodal Emotion Recognition by extracting common and modality-specific information.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018
Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018
Proceedings of the IEEE Information Theory Workshop, 2018
Proceedings of the IEEE Information Theory Workshop, 2018
2017
An information-theoretic approach to unsupervised feature selection for high-dimensional data.
Proceedings of the 2017 IEEE Information Theory Workshop, 2017
An information-theoretic approach to universal feature selection in high-dimensional inference.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Zoning by mobility: evaluating city administrative regions by taxi data: poster abstract.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017
Analysis and evaluation of driving behavior recognition based on a 3-axis accelerometer using a random forest approach: poster abstract.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017
2016
Data extraction via histogram and arithmetic mean queries: Fundamental limits and algorithms.
Proceedings of the IEEE International Symposium on Information Theory, 2016
Proceedings of the 2016 IEEE International Conference on Communications, 2016
Proceedings of the 54th Annual Allerton Conference on Communication, 2016
2015
A spectrum decomposition to the feature spaces and the application to big data analytics.
Proceedings of the IEEE International Symposium on Information Theory, 2015
Proceedings of the 2015 IEEE International Conference on Communications, 2015
Proceedings of the 2015 IEEE International Conference on Communications, 2015
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015
2014
Proceedings of the IEEE 79th Vehicular Technology Conference, 2014
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014
2013
IEEE Trans. Inf. Theory, 2013
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2013
2012
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
2011
Proceedings of the 2011 IEEE/ACM International Conference on Computer-Aided Design, 2011
A robust ECO engine by resource-constraint-aware technology mapping and incremental routing optimization.
Proceedings of the 16th Asia South Pacific Design Automation Conference, 2011
2010
Proceedings of the IEEE International Conference on Wireless Communications, 2010
2009
Proceedings of the 2009 International Conference on Computer-Aided Design, 2009
SAT-controlled redundancy addition and removal: a novel circuit restructuring technique.
Proceedings of the 14th Asia South Pacific Design Automation Conference, 2009