Kun Yi
18 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(3)
π§
Keyword Pioneer
π
Grand Slam
π€
Dynamic Duo
(11)
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(89)
Top co-authors
Research topics
Machine Learning
(14)
Deep Learning
(9)
Artificial Intelligence
(8)
Data Science & Analytics
(8)
Core AI
(8)
Learning Types Β· Machine Learning
(8)
Core Methods
(7)
Methods
(7)
Learning Types Β· Deep Learning
(6)
Application Areas
(5)
Architectures
(3)
Optimization & Theory
(3)
Techniques
(3)
Computer Science
(1)
Computer Vision
(1)
Keywords
time series forecasting
(4)
multimodal learning
(3)
frequency domain
(3)
multivariate time series forecasting
(3)
contrastive learning
(3)
vision transformer
(2)
representation learning
(2)
masked image modeling
(2)
temporal pattern
(2)
fourier transform
(2)
distribution shift
(2)
frequency spectrum
(2)
distributed learning
(1)
rumor detection
(1)
attention mechanism
(1)
semantic segmentation
(1)
noisy label learning
(1)
neural architecture
(1)
transfer learning
(1)
modality alignment
(1)
Papers
MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion
AAAI 2026
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting
AAAI 2025
Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection
IJCAI 2025
Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding
AAAI 2025
Decoupled Invariant Attention Network for Multivariate Time-series Forecasting
IJCAI 2024
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting
IJCAI 2024
FilterNet: Harnessing Frequency Filters for Time Series Forecasting
NeurIPS 2024
Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector
AAAI 2024
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis
IJCAI 2024
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization
ICML 2024
ViT-Lens: Towards Omni-modal Representations
CVPR 2024
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective
NeurIPS 2023
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
NeurIPS 2023
Masked Image Modeling with Denoising Contrast
ICLR 2023
RILS: Masked Visual Reconstruction in Language Semantic Space
CVPR 2023
CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting
AAAI 2022
Mc-BEiT: Multi-Choice Discretization for Image BERT Pre-training
ECCV 2022
Probabilistic End-To-End Noise Correction for Learning With Noisy Labels
CVPR 2019