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2026 顶会论文

作者位次 #4/4KDD 2026Oral· Knowledge Discovery & Data Mining

Physics-enhanced Neural Operator: An Application in Simulating Turbulent Transport

Shengyu Chen · Peyman Givi · Can Zheng · Xiaowei Jia

检索与知识社会与人本OpenReview

作者位次 #12/12KDD 2026Oral· Knowledge Discovery & Data Mining

X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI

Yiming Sun · Shuo Chen · Shengyu Chen · Chonghao Qiu · Licheng Liu · Youmi Oh · Sparkle L. Malone · Gavin McNicol · Qianlai Zhuang · Chris Smith · Yiqun Xie · Xiaowei Jia

评测与基准数据与预训练检索与知识OpenReview

作者位次 #4/7KDD 2026Oral· Knowledge Discovery & Data Mining

Estimating Mutual Information between Time Series and Temporal Event Sequences Across Diverse Analysis Tasks

Haoji Hu · Huaqing Mao · Yijun Lin · Xiaowei Jia · Jinwei Zhou · Minoh Jeong · Yao-Yi Chiang

检索与知识OpenReview

作者位次 #4/4KDD 2026Oral· Knowledge Discovery & Data Mining

Accelerating MHC-II Epitope Discovery via Multi-Scale Prediction in Antigen Presentation

Yue Wan · Jiayi Yuan · Zhiwei Feng · Xiaowei Jia

检索与知识OpenReview

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

LLM-based Evaluation Policy Extraction for Ecological Modeling

Qi Cheng · Licheng Liu · Yixuan Chen · Qing Zhu · Runlong Yu · Zhenong Jin · Yiqun Xie · Xiaowei Jia

推理评测与基准检索与知识OpenReview

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

Knowledge-Guided Learning for Global Carbon Flux Prediction: Integrating High-Level Remote Sensing with Bottom-Up Physical Modeling

Shuo Xu · Zhihao Wang · Ruohan Li · Ruichen Wang · Lei Ma · George C. Hurtt · Xiaowei Jia · Yiqun Xie

检索与知识OpenReview

作者位次 #3/4KDD 2026Oral· Knowledge Discovery & Data Mining

Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing

Yilong Dai · Shengyu Chen · Xiaowei Jia · Runlong Yu

检索与知识OpenReview

作者位次 #3/4ICRA 2026Oral· Robotics & Automation

A Two-Stage Framework for Ego-Centric Key Object Identification via Object State Prediction

Shihong Ling · Yue Wan · Xiaowei Jia · Na Du

OpenReview

作者位次 #5/6CHI 2026Oral· Human-Computer Interaction

When to Explain: Modeling User Need for Explanations in Real-World Autonomous Driving

Shihong Ling · Yaohan Ding · Yu Liu · Yue Wan · Xiaowei Jia · Na Du

社会与人本OpenReview

作者位次 #3/9AAAI 2026Poster· Artificial Intelligence

EcoDiffusion: Uncertainty-Aware Emulation of Ecosystem Processes with Conditional Diffusion for Long Sequences with Single-Step Initialization

Ruohan Li · Zhihao Wang · Xiaowei Jia · Gengchen Mai · Lei Ma · George C. Hurtt · Quan Shen · Zhili Li · Yiqun Xie

OpenReview

作者位次 #5/5AAAI 2026Poster· Artificial Intelligence

GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction

Shiyuan Luo · Chonghao Qiu · Runlong Yu · Yiqun Xie · Xiaowei Jia

可解释性理论与学习动力学OpenReview

作者位次 #2/3AAAI 2026Poster· Artificial Intelligence

Knowledge-Guided Machine Learning: A Paradigm Shift in AI for Science

Anuj Karpatne · Xiaowei Jia · Vipin Kumar

检索与知识OpenReview

Xiaowei Jia

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2026 顶会论文

Physics-enhanced Neural Operator: An Application in Simulating Turbulent Transport

X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI

Estimating Mutual Information between Time Series and Temporal Event Sequences Across Diverse Analysis Tasks

Accelerating MHC-II Epitope Discovery via Multi-Scale Prediction in Antigen Presentation

LLM-based Evaluation Policy Extraction for Ecological Modeling

Knowledge-Guided Learning for Global Carbon Flux Prediction: Integrating High-Level Remote Sensing with Bottom-Up Physical Modeling

Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing

A Two-Stage Framework for Ego-Centric Key Object Identification via Object State Prediction

When to Explain: Modeling User Need for Explanations in Real-World Autonomous Driving

EcoDiffusion: Uncertainty-Aware Emulation of Ecosystem Processes with Conditional Diffusion for Long Sequences with Single-Step Initialization

GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction

Knowledge-Guided Machine Learning: A Paradigm Shift in AI for Science

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