Kay Chen Tan

Venues

Frequent coauthors

Papers

1. Building LLMs Like LEGO: Two-dimensional Architecture Reassembly of Large Language Models
   ACL 2026 ·

   Xingyu Wu

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2. Distributional Priors Guided Diffusion for Generating 3D Molecules in Low Data Regimes
   AAAI 2026 ·

   Haokai Hong

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3. Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems
   AAAI 2026 ·

   Qingyuan Zeng

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4. Design Principle Transfer in Neural Architecture Search via Large Language Models
   AAAI 2025 ·

   Xun Zhou

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5. Interpretable Solutions for Multi-Physics PDEs Using T-NNGP
   AAAI 2025 ·

   Lulu Cao

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6. Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing
   IJCAI 2025 ·

   Xinyi Chen

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7. An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations
   AAAI 2024 ·

   Lulu Cao

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8. Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks
   AAAI 2024 ·

   Zhenzhong Wang

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9. Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation
   IJCAI 2024 ·

   Xingyu Wu

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10. Mixed Prototype Correction for Causal Inference in Medical Image Classification
    ACM MM 2024 ·

    Yajie Zhang

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11. Scaling Supervised Local Learning with Augmented Auxiliary Networks
    ICLR 2024 ·

    Chenxiang Ma

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12. TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling
    AAAI 2024 ·

    Shimin Zhang

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