Hong Chen

Venues

Frequent coauthors

Papers

1. Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models
   AAAI 2026 ·

   Bo Wang

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2. D²-VPR: A Parameter-efficient Visual-foundation-model-based Visual Place Recognition Method via Knowledge Distillation and Deformable Aggregation
   AAAI 2026 ·

   Zheyuan Zhang

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3. Telescope: A Learned What-If Call for Column Store Selection in HTAP Databases
   ICDE 2026 ·

   Yidong Zhang

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4. Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs
   ACL 2026 ·

   Yubo Gao

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5. A Statistical Approach for Controlled Training Data Detection
   ICLR 2025 ·

   Zirui Hu

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6. Adversarial Robust Generalization of Graph Neural Networks
   ICML 2025 ·

   Chang Cao

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7. Adversarial Training for Graph Convolutional Networks: Stability and Generalization Analysis
   IJCAI 2025 ·

   Chang Cao

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8. Causally Modeling the Linguistic and Social Factors that Predict Email Response
   NAACL 2025 ·

   Yinuo Xu

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9. How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction
   ICML 2025 ·

   Jun Chen

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10. Rethinking Key-Frame-Based Micro-Expression Recognition: a Robust and Accurate Framework Against Key-Frame Errors
    ICCV 2025 ·

    Zheyuan Zhang

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11. SpikF: Spiking Fourier Network for Efficient Long-term Prediction
    ICML 2025 ·

    Wenjie Wu

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12. The Noisy Path from Source to Citation: Measuring How Scholars Engage with Past Research
    ACL 2025 · Hong Chen
13. A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction
    SIGKDD 2024 ·

    Jiahui Gong

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14. Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs
    EMNLP 2024 ·

    Biyang Guo

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15. Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent
    AAAI 2024 ·

    Jiahuan Wang

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