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Yue Wang

IROS 2026×8ICRA 2026×5ICLR 2026×4SIGIR 2026×2VLDB 2026多模态推理评测与基准数据与预训练检索与知识
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0 一作 · 20 篇 · IROS 2026 / ICRA 2026 / ICLR 2026 / SIGIR 2026 / VLDB 2026

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2026 顶会论文

20
作者位次 #4/4SIGIR 2026Oral· Information Retrieval (Full)

Retrieval-Augmented Multimodal Model for Fake News Detection

Yiheng Li · Weihai Lu · Hanyi Yu · Yue Wang

摘要

In recent years, multi-modal multi-domain fake news detection has garnered increasing attention. Nevertheless, this direction presents two significant challenges: (1) Failure to Capture Cross-Instance Narrative Consistency: existing models usually evaluate each news in isolation, fail to capture...

推理多模态检索与知识OpenReview
作者位次 #4/7SIGIR 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 #4/4ICRA 2026Oral· Robotics & Automation

SeFA-Policy: Fast and Accurate Visuomotor Policy Learning with Selective Flow Alignment

Rong Xue · Jiageng Mao · Mingtong Zhang · Yue Wang

对齐与偏好OpenReview
作者位次 #3/5IROS 2026Oral· Perception and Staging for In-Hand Manipulation

Concurrent Prehensile and Nonprehensile Manipulation: A Practical Approach to Multi-Stage Dexterous Tasks

Hao Jiang · Yue Wu · Yue Wang · Gaurav Sukhatme · Daniel Seita

推理Dexterous ManipulationPerception for Grasping and ManipulationManipulation PlanningOpenReview
作者位次 #6/6IROS 2026Poster· Modeling and Control of Tendon-Driven Continuum Robots

Learning-Based Dynamics Modeling and Robust Control for Tendon-Driven Continuum Robots

Ziqing Zou · Ke Qiu · Fei Wang · Haojian Lu · Rong Xiong · Yue Wang

Modeling, Control, and Learning for Soft RobotsOpenReview

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