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Qiang Zhang

Dalian University of Technology, School of Computer Science and Technology, China

17 papers at tracked venues · 14 at CORE A* · active 2024–2026

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Venues

CVPR ×4AAAI ×3IJCAI ×3ACM MM ×2ICLR ×2WWW ×2ICML ×1

Frequent coauthors

Yicong Li
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Hua Yu
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Qi Xu
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Huiyan Xue
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Ben Cao
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Shuo Yu
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Dian Meng
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Boshen Pan
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Tianqing Zhang
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Kairong Yu
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Tingting Jiang
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Wen Dong
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Papers

  1. Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory
    AAAI 2026 ·
    Huiyan Xue
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  2. Explaining Synergistic Effects in Social Recommendations
    WWW 2026 ·
    Yicong Li
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  3. Learning Structurally Stabilized Representations for Lossless DNA Storage
    AAAI 2026 ·
    Ben Cao
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  4. Missingness-aware Federated Contrastive Learning on Semantic Graphs
    WWW 2026 ·
    Shuo Yu
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  5. Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis
    CVPR 2025 ·
    Hua Yu
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  6. EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems
    IJCAI 2025 ·
    Dian Meng
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  7. Factor Graph-based Interpretable Neural Networks
    ICLR 2025 ·
    Yicong Li
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  8. Preference-based Deep Reinforcement Learning for Historical Route Estimation
    IJCAI 2025 ·
    Boshen Pan
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  9. STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks
    CVPR 2025 ·
    Tianqing Zhang
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  10. Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
    ICML 2025 ·
    Qi Xu
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  11. Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks
    CVPR 2025 ·
    Kairong Yu
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  12. Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism
    ICLR 2024 ·
    Tingting Jiang
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  13. Exploiting Polarized Material Cues for Robust Car Detection
    AAAI 2024 ·
    Wen Dong
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  14. REFA: Real-time Egocentric Facial Animations for Virtual Reality
    CVPR 2024 · Qiang Zhang
  15. Reversing Structural Pattern Learning with Biologically Inspired Knowledge Distillation for Spiking Neural Networks
    ACM MM 2024 ·
    Qi Xu
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  16. SCAT: A Time Series Forecasting with Spectral Central Alternating Transformers
    IJCAI 2024 ·
    Chengjie Zhou
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  17. Towards Efficient and Diverse Generative Model for Unconditional Human Motion Synthesis
    ACM MM 2024 ·
    Hua Yu
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