Zhenyu Liu

Venues

Frequent coauthors

Papers

1. Hierarchical Acoustic-Semantic Modeling: Modality Separation and Semantic Coherence for Full-Duplex SLMs
   ACL 2026 · Zhenyu Liu
2. UniMoE-Audio: Unified Speech and Music Generation with Dynamic-Capacity Mixture-of-Experts
   ACL 2026 · Zhenyu Liu
3. A Unified Analysis of Stochastic Gradient Descent with Arbitrary Data Permutations and Beyond
   NeurIPS 2025 ·

   Yipeng Li

   DBLP profile ↗ORCID search ↗
4. FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG
   NAACL 2025 ·

   Xinping Zhao

   DBLP profile ↗ORCID search ↗
5. TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions
   CVPR 2025 ·

   Yuhang Wang

   DBLP profile ↗ORCID search ↗
6. GraphHI: Boosting Graph Neural Networks for Large-Scale Graphs
   ICDE 2024 ·

   Hao Feng

   DBLP profile ↗ORCID search ↗
7. Improving Attributed Text Generation of Large Language Models via Preference Learning
   ACL 2024 ·

   Dongfang Li

   DBLP profile ↗ORCID search ↗
8. In-Context Learning State Vector with Inner and Momentum Optimization
   NeurIPS 2024 ·

   Dongfang Li

   DBLP profile ↗ORCID search ↗
9. M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer
   MICCAI 2024 ·

   Song Zhang

   DBLP profile ↗ORCID search ↗
10. Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion
    EMNLP 2024 ·

    Xinping Zhao

    DBLP profile ↗ORCID search ↗
11. Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
    AAAI 2024 ·

    Bao Li

    DBLP profile ↗ORCID search ↗
12. Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation
    AAAI 2024 ·

    Xinshuo Hu

    DBLP profile ↗ORCID search ↗
13. Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment
    EMNLP 2024 · Zhenyu Liu