PaperHub

Bin Yang

~Bin_Yang4

18
论文总数
9.0
年均投稿
6.2
平均评分
接收情况12/18
会议分布
ICLR
11
NeurIPS
4
ICML
3

发表论文 (18 篇)

202517

6.0
5

Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation

ICLR 2025Poster
4.8
4

Continuous Space-Time Video Super-Resolution via Event Camera

ICLR 2025Rejected
7.8
4

$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting

ICML 2025Spotlight
4.0
4

SEE: See Everything Every Time - Broader Light Range Image Enhancement via Events

ICLR 2025Rejected
8.2
4

Learning to Factorize Spatio-Temporal Foundation Models

NeurIPS 2025Spotlight
4.6
5

MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast

ICLR 2025withdrawn
5.4
5

DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone

ICLR 2025Rejected
7.3
4

CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling

NeurIPS 2025Poster
7.3
4

DBLoss: Decomposition-based Loss Function for Time Series Forecasting

NeurIPS 2025Poster
7.8
4

Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective

NeurIPS 2025Spotlight
6.1
4

LightGTS: A Lightweight General Time Series Forecasting Model

ICML 2025Poster
6.0
5

Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders

ICLR 2025Poster
6.3
4

CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching

ICLR 2025Poster
6.6
4

Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer

ICML 2025Poster
5.8
4

ROSE: Register-Assisted General Time Series Forecasting with Decomposed Frequency Learning

ICLR 2025Rejected
6.4
5

Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems

ICLR 2025Poster
4.0
4

FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting

ICLR 2025withdrawn