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20232026
most citedSpatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities

8 citations · 15 across the 15 of their papers we have counts for

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8 papers · 1 filter

cs.IR2026

Adaptive Item-based Collaborative Structures via Noise Rescheduling in Diffusion for Generative Recommendation

Jiaqi Wang, Tianying Liu, Heng Chang +3

Discrete Diffusion Models (DDMs) have recently been introduced to recommendation systems, modeling user history as a token generation process via iterative denoising. However, whil…

cs.CV2026

Disentangling Generation and Regression in Stochastic Interpolants for Controllable Image Restoration

Yi Liu, Jia Ma, Wengen Li +3

Recent advances in Image Restoration (IR) have been largely driven by generative methods such as Diffusion Models and Flow Matching, which excel in synthesizing realistic textures…

cs.CV2026

SSDA: Bridging Spectral and Structural Gaps via Dual Adaptation for Vision-Based Time Series Forecasting

Mingrui Zhang, Hanchen Yang, Wengen Li +4

Large vision models (LVMs) have recently proven to be surprisingly effective time series forecasters, simply by rendering temporal data as images. This success, how ever, rests on…

cs.AI2026

AdaMamba: Adaptive Frequency-Gated Mamba for Long-Term Time Series Forecasting

Xudong Jiang, Mingshan Loo, Hanchen Yang +5

Accurate long-term time series forecasting (LTSF) requires the capture of complex long-range dependencies and dynamic periodic patterns. Recent advances in frequency-domain analysi…

physics.ao-ph2026

An Adaptive Spatiotemporal Clustering Framework for 3D Ocean Subsurface Temperature Reconstruction

Ming Shan Loo, Wengen Li, Xudong Jiang +4

The reconstruction of ocean subsurface temperature (OST) using satellite remote sensing data holds significant scientific value for advancing the understanding of ocean dynamics an…

cs.AI2026

DiffTSP: A Conditional Discrete Diffusion Model for Knowledge Graph Triple Set Prediction

Jihong Guan, Jiaqi Wang, Wengen Li +5

Triple set prediction (TSP) aims to discover missing facts from an incomplete knowledge graph without predefined queries. Existing approaches typically construct the predicted set…

cs.LG2026

BioBridge: Bridging Proteins and Language for Enhanced Biological Reasoning with LLMs

Yujia Wang, Jihong Guan, Wengen Li +2

Existing Protein Language Models (PLMs) often suffer from limited adaptability to multiple tasks and exhibit poor generalization across diverse biological contexts. In contrast, ge…

cs.CV2026

SADER: Structure-Aware Diffusion Framework with DEterministic Resampling for Multi-Temporal Remote Sensing Cloud Removal

Yifan Zhang, Qian Chen, Yi Liu +2

Cloud contamination severely degrades the usability of remote sensing imagery and poses a fundamental challenge for downstream Earth observation tasks. Recently, diffusion-based mo…