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2026 顶会论文

作者位次 #6/7ICLR 2026Poster· Applications / Time Series

Aurora: Towards Universal Generative Multimodal Time Series Forecasting

Xingjian Wu · Jianxin Jin · Wanghui Qiu · Peng Chen · Yang Shu · Bin Yang · Guo

多模态OpenReview

作者位次 #6/7ICLR 2026Poster· Applications / Time Series

CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter

Hanyin Cheng · Xingjian Wu · Yang Shu · Zhongwen Rao · Lujia Pan · Bin Yang · Guo

OpenReview

作者位次 #5/6ICLR 2026Poster· Applications / Time Series

Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction

Shiyan Hu · Jianxin Jin · Yang Shu · Peng Chen · Bin Yang · Guo

对齐与偏好多模态OpenReview

作者位次 #6/6ICLR 2026Poster· Applications / Time Series

ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting

Jindong Tian · Yifei Ding · Ronghui Xu · Hao Miao · Guo · Bin Yang

OpenReview

作者位次 #6/6ICLR 2026Poster· Applications / Time Series

SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning

Tengxue Zhang · Biao Ouyang · Yang Shu · Xinyang Chen · Guo · Bin Yang

数据与预训练OpenReview

作者位次 #6/7ICLR 2026Poster

ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting

Xvyuan Liu · Xiangfei Qiu · Hanyin Cheng · Xingjian Wu · Guo · Bin Yang · Jilin Hu

OpenReview

作者位次 #7/7ICLR 2026Poster· Applications / Time Series

GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables

Zhengyu Li · Xiangfei Qiu · Yuhan Zhu · Xingjian Wu · Jilin Hu · Guo · Bin Yang

OpenReview

作者位次 #6/7ICLR 2026Poster· Applications / Time Series

Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting

Siyuan Wang · Peng Chen · Yihang Wang · Wanghui Qiu · Guo · Bin Yang · Yang Shu

推理对齐与偏好OpenReview

作者位次 #5/5KDD 2026Oral· Knowledge Discovery & Data Mining

MoST: A Foundation Model for Multi-modality Spatio-temporal Traffic Prediction

Ronghui Xu · Jihao Chen · Jindong Tian · Chenjuan Guo · Bin Yang

多模态检索与知识OpenReview

作者位次 #2/6KDD 2026Oral· Knowledge Discovery & Data Mining

TimeBlocks: Versatile and Continual Time-Series Blockbase

David Campos · Bin Yang · Tung Kieu · Lei Chen · Chenjuan Guo · Christian S. Jensen

检索与知识OpenReview

作者位次 #5/6KDD 2026Oral· Knowledge Discovery & Data Mining

CCD: Capturing Cross-Correlations with Deformable Convolutional Networks for Multivariate Time Series Forecasting

Hanyin Cheng · Xingjian Wu · Xiangfei Qiu · Yang Shu · Bin Yang · Chenjuan Guo

检索与知识OpenReview

作者位次 #6/6KDD 2026Oral· Knowledge Discovery & Data Mining

TiWeaver: Unified Temporal Dynamics Modeling via Contextual Patching

Zhe Li · Jindong Tian · Hao Miao · Zhi Lei · Chenjuan Guo · Bin Yang

检索与知识OpenReview

作者位次 #7/8KDD 2026Oral· Knowledge Discovery & Data Mining

REFINE: Trajectory Representation Learning via Closed-Loop Transcription

Sean Bin Yang · Ying Sun · Jilin Hu · Zongyi Xu · Kristian Torp · Hua Lu · Bin Yang · Christian S. Jensen

可解释性检索与知识OpenReview

作者位次 #7/7AAAI 2026Poster· Artificial Intelligence

Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline

Xvyuan Liu · Xiangfei Qiu · Xingjian Wu · Zhengyu Li · Chenjuan Guo · Jilin Hu · Bin Yang

OpenReview

作者位次 #6/6AAAI 2026Poster· Artificial Intelligence

Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing

Junkai Lu · Peng Chen · Chenjuan Guo · Yang Shu · Meng Wang · Bin Yang

OpenReview

Bin Yang

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2026 顶会论文

Aurora: Towards Universal Generative Multimodal Time Series Forecasting

CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter

Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction

ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting

SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning

ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting

GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables

Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting

MoST: A Foundation Model for Multi-modality Spatio-temporal Traffic Prediction

TimeBlocks: Versatile and Continual Time-Series Blockbase

CCD: Capturing Cross-Correlations with Deformable Convolutional Networks for Multivariate Time Series Forecasting

TiWeaver: Unified Temporal Dynamics Modeling via Contextual Patching

REFINE: Trajectory Representation Learning via Closed-Loop Transcription

Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline

Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing

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