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Zihu Wang

3 papers · 2024–2026 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze

Venues

AAAI (2) ECCV (1)

Top co-authors

Peng Li (3) Boxun Xu (2) Yu Wang (1) Scott Ricardo Figueroa Weston (1) Lingqiao Liu (1) Samuel Tian (1) Hejia Geng (1)

Research topics

Machine Learning (3) Deep Learning (2) Learning Types · Machine Learning (2) Application Areas (1) Architectures (1) Core Methods (1) Learning Types · Deep Learning (1)

Keywords

representation learning (1) self-supervised learning (1) node classification (1) discriminative feature (1) visual autoregressive (1) graph contrastive learning (1) kolmogorov-arnold network (1) synthesized data (1) hard negative sampling (1) fine-grained visual recognition (1) kv caching (1) multi-scale prediction (1) inter-scale similarity (1) perturbation (1) grad-cam (1)

Papers

AMS-KV: Adaptive KV Caching in Multi-Scale Visual Autoregressive Transformers AAAI 2026 Khan-GCL: Kolmogorov–Arnold Network Based Graph Contrastive Learning with Hard Negatives AAAI 2026 On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition ECCV 2024