Shuang Xu
30 papers · 2016–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (9) π Cross-Pollinator (12)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(55)
π§¬
Topic Evolution
π€
Dynamic Duo
(15)
π
Keyword Champion
(2)
π
Conference Pioneer
π
Century Club
(29)
π
Trend Setter
ποΈ
Keyword Collector
(140)
π₯
Unstoppable
(10)
β‘
Prolific Year
(5)
Conferences
INTERSPEECH (7)
AAAI (5)
CVPR (5)
ICCV (4)
IJCAI (3)
COLING (2)
EMNLP (2)
ECCV (1)
NAACL (1)
Top co-authors
Keywords
image fusion
(6)
speech recognition
(3)
knowledge distillation
(3)
neural machine translation
(3)
recurrent neural network
(3)
acoustic modeling
(3)
multi-task learning
(2)
feature extraction
(2)
medical image fusion
(2)
semantic segmentation
(2)
residual learning
(2)
multi-modality image fusion
(2)
end-to-end learning
(2)
contrastive learning
(2)
feature decomposition
(2)
infrared-visible fusion
(2)
self-supervised learning
(1)
visual question answering
(1)
semi-supervised learning
(1)
dimensionality reduction
(1)
Papers
MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios
AAAI 2026
Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm
IJCAI 2025
Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm
IJCAI 2025
Task-driven Image Fusion with Learnable Fusion Loss
CVPR 2025
Retinex-MEF: Retinex-based Glare Effects Aware Unsupervised Multi-Exposure Image Fusion
ICCV 2025
Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image
ICCV 2025
Equivariant Multi-Modality Image Fusion
CVPR 2024
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution
ICCV 2023
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion
CVPR 2023
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion
ICCV 2023
Knowledge Transfer from Pre-trained Language Models to Cif-based Speech Recognizers via Hierarchical Distillation
INTERSPEECH 2023
Enhancing Visual Question Answering via Deconstructing Questions and Explicating Answers
INTERSPEECH 2023
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution
CVPR 2022
Learning Flexibly Distributional Representation for Low-quality 3D Face Recognition
AAAI 2021
Counterfactual Supporting Facts Extraction for Explainable Medical Record Based Diagnosis with Graph Network
NAACL 2021
Listen, Understand and Translate: Triple Supervision Decouples End-to-end Speech-to-text Translation
AAAI 2021
Consecutive Decoding for Speech-to-text Translation
AAAI 2021
Deep Gradient Projection Networks for Pan-sharpening
CVPR 2021
Knowledge Aware Emotion Recognition in Textual Conversations via Multi-Task Incremental Transformer
COLING 2020
DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion
IJCAI 2020
Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection
ECCV 2020
Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation
EMNLP 2020
Adapting Translation Models for Transcript Disfluency Detection
AAAI 2019
Semi-Supervised Disfluency Detection
COLING 2018
Syllable-Based Sequence-to-Sequence Speech Recognition with the Transformer in Mandarin Chinese
INTERSPEECH 2018
Single-channel Speech Dereverberation via Generative Adversarial Training
INTERSPEECH 2018
Towards Compact and Fast Neural Machine Translation Using a Combined Method
EMNLP 2017
Multilingual Recurrent Neural Networks with Residual Learning for Low-Resource Speech Recognition
INTERSPEECH 2017
Multidimensional Residual Learning Based on Recurrent Neural Networks for Acoustic Modeling
INTERSPEECH 2016
First Step Towards End-to-End Parametric TTS Synthesis: Generating Spectral Parameters with Neural Attention
INTERSPEECH 2016