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Chao Wang

AAAI 2026ACL 2026ICML 2026SIGIR 2026效率与系统强化学习与后训练多模态对齐与偏好安全
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0 一作 · 4 篇 · AAAI 2026 / ACL 2026 / ICML 2026 / SIGIR 2026

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2026 顶会论文

4
作者位次 #7/11ACL 2026Poster· Natural Language Processing

M ess T o C lean: Evidence-Grounded Structure-Preserving Reconstruction for Real-World Degraded Exam Paper Images

Jiayi Tuo · Cheng Tang · Zihan Wang · Chenyue Zhou · Yao Li · Yanbiao Ma · Chao Wang · Wei Dai · Mingxuan Wang · Shitong Qin · Ziwei Zhao

摘要

Intelligent education systems often collect exam sheets as in-the-wild photos. These photos often suffer from distortions and noise caused by handwriting and occlusions, collectively referred to as Real-World Degraded Exam Images (RDEI). Structure-preserving reconstruction is key to converting RD...

多模态对齐与偏好安全OpenReview 项目页
作者位次 #8/8SIGIR 2026Poster· Information Retrieval (Short)

HE-DeepFM: An FHE Inference System for CTR Prediction with Efficient FM Interactions

Qiyue Su · Hang Gu · Zhiguang Wang · Teng Wang · Zhendong Zheng · Qianyu Cheng · Lei Gong · Chao Wang

摘要

Scoring models such as click-through rate (CTR) prediction underpin recommendation and advertising systems, but their features are highly sensitive, making plaintext cloud inference risky. Fully homomorphic encryption (FHE) enables inference directly on ciphertexts, yet homomorphic computation is...

效率与系统检索与知识评测与基准OpenReview

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