Kun Yi
18 papers · 2019–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (10)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(35)
π
Grand Slam
π
Keyword Champion
(3)
π€
Dynamic Duo
(11)
ποΈ
Keyword Collector
(81)
π
Century Club
(17)
π₯
Unstoppable
(5)
β‘
Prolific Year
(7)
Conferences
AAAI (5)
IJCAI (4)
CVPR (3)
NIPS (3)
ECCV (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
time series forecasting
(4)
multimodal learning
(3)
frequency domain
(3)
multivariate time series forecasting
(3)
representation learning
(2)
distribution shift
(2)
temporal pattern
(2)
contrastive learning
(2)
frequency spectrum
(2)
fourier transform
(2)
domain generalization
(1)
distributed learning
(1)
privacy preservation
(1)
cross-modal retrieval
(1)
temporal modeling
(1)
rumor detection
(1)
label noise
(1)
attention mechanism
(1)
vision transformer
(1)
signal processing
(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
Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding
AAAI 2025
Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection
IJCAI 2025
ViT-Lens: Towards Omni-modal Representations
CVPR 2024
FilterNet: Harnessing Frequency Filters for Time Series Forecasting
NIPS 2024
Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector
AAAI 2024
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization
ICML 2024
Decoupled Invariant Attention Network for Multivariate Time-series Forecasting
IJCAI 2024
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting
IJCAI 2024
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis
IJCAI 2024
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
NIPS 2023
Masked Image Modeling with Denoising Contrast
ICLR 2023
RILS: Masked Visual Reconstruction in Language Semantic Space
CVPR 2023
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective
NIPS 2023
Mc-BEiT: Multi-Choice Discretization for Image BERT Pre-training
ECCV 2022
CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting
AAAI 2022
Probabilistic End-To-End Noise Correction for Learning With Noisy Labels
CVPR 2019