Good Papers

Showing papers from Zhengzhou University Show all papers

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NeurIPS 2026SoutheastZhengzhouRepresentation & contrastive learning

Individuals Matter: Improving Deep Multi-View Clustering via Explicit Single-View Enhancement

Hanyang Li, Yanzheng Wang, Yaxin Hou, Zhengxing Jiao and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Huazhong University of Science aThe Hong Kong PolytechnicZhengzhouWatermarking & AI-text detection

FedTrace: Generated-Content-Based Watermark Verification for Traitor Tracing in Federated Learning

Tianzhe Xiao, Haozhao Wang, Yichen Li, Qiyu Qin and 2 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026ZhengzhouGraph neural networks

Reasoning over Coupled Receptive Fields: Eliminating Subgraph Redundancy at Scale

Jing Yang, Bo Wen, Yuan Gao, XiaowenJiang and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Electronic Science and TechnolShanghai Jiao TongUberZhengzhouU California, BerkeleyVideo generation

WorldForge: Forging Unified World Modeling into Video Generation

Boming Tan, Xiangdong Zhang, Ning Liao, Jingtao Zhang and 6 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026ETH ZurichZhengzhouMBZUAISwiss Federal Institute of TechnEPFL - EPF LausanneVision-language models

Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study

Hao Dong, Hongzhao Li, Shupan Li, Muhammad Haris Khan and 2 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026ZhengzhouSUN YAT-SEN UNIVERSITYGraph neural networks

MIRAGE: Hierarchical MI-Surrogate Regulation for Graph Contrastive Learning

Qi Teng, Xueer Wang

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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