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2026 顶会论文

作者位次 #8/10ICML 2026Poster

Federated Multi-view Clustering for Remote Sensing Data

Renxiang Guan · Xiang Yang · Hao Yu · Siwei Wang · Suyuan Liu · Wenjing Yang · Jun-Jie Huang · Ao Li · Xinwang Liu · Yuhua Tang

OpenReview

作者位次 #3/7SIGIR 2026Poster· Information Retrieval (Industry)

Precision at Scale: An End-to-End Graph-based Framework for Mitigating Network Interference in TikTok A/B Tests

Yuhan Li · Jiayun Ni · Ao Li · Yue Wang · Seng You Paul Chee · Yongmin Hu · Runze Yu

摘要

Large-scale A/B tests on social platforms suffer from inherent network interference, violating the Stable Unit Treatment Value Assumption (SUTVA) and distorting measured results. Industrial practices for mitigating network interference face a foundational trade-off. For scalability, they often re...

社会与人本理论与学习动力学评测与基准OpenReview

作者位次 #5/7AAAI 2026Poster· Artificial Intelligence

Enhancing Kernel Power $K$-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method

Yixi Chen · Weixuan Liang · Tianrui Liu · Jun-Jie Huang · Ao Li · Xueling Zhu · Xinwang Liu

OpenReview

Ao Li

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2026 顶会论文

Federated Multi-view Clustering for Remote Sensing Data

Precision at Scale: An End-to-End Graph-based Framework for Mitigating Network Interference in TikTok A/B Tests

Enhancing Kernel Power $K$-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method

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