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Jiacheng Liu

9 papers at tracked venues · 8 at CORE A* · active 2024–2026

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Venues

ACL ×4AAAI ×2ACM MM ×1EMNLP ×1ICDE ×1

Frequent coauthors

Xiaofeng Hou
×5
Qiyuan Zhu
×5
Bei Liu
×5
Sirui Han
×5
Pengyu Cheng
×4
Hao Gu
×4
Lujun Li
×4
Yike Guo
×4
Jiacheng Wang
×3
Tianle Chen
×3
Hao Wang
×3
Lei Wang
×2

Papers

  1. AdaReason: Progressive Training of Multi-LoRA Adapters for Budget-Adaptive Language Reasoning Models
    AAAI 2026 ·
    Jiacheng Wang
    ,
    Tianle Chen
    ,
    Pengyu Cheng
    ,
    Xiaofeng Hou
    , Jiacheng Liu
  2. Adaptive Spatial and Temporal Redundancy Optimization for Efficient Reasoning in Large Language Models
    ACL 2026 ·
    Tianle Chen
    ,
    Pengyu Cheng
    ,
    Qiyuan Zhu
    ,
    Jiacheng Wang
    ,
    Bei Liu
    ,
    Hao Gu
    ,
    Ruijie Shen
    ,
    Xiaofeng Hou
    ,
    Sirui Han
    , Jiacheng Liu
  3. BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook
    ACL 2026 ·
    Hao Gu
    ,
    Lujun Li
    ,
    Hao Wang
    ,
    Lei Wang
    ,
    Zheyu Wang
    ,
    Bei Liu
    , Jiacheng Liu,
    Qiyuan Zhu
    ,
    Sirui Han
    ,
    Yike Guo
  4. Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs
    ACL 2026 ·
    Binxing Xu
    ,
    Hao Gu
    ,
    Lujun Li
    ,
    Hao Wang
    ,
    Bei Liu
    , Jiacheng Liu,
    Qiyuan Zhu
    ,
    Xintong Yang
    ,
    Chao Li
    ,
    Sirui Han
    ,
    Yike Guo
  5. DesireKV: Decoupling Sensitivity and Importance for Reasoning-Aware KV Cache Compression
    AAAI 2026 ·
    Pengyu Cheng
    ,
    Jiacheng Wang
    ,
    Tianle Chen
    ,
    Bei Liu
    ,
    Xiaofeng Hou
    , Jiacheng Liu
  6. QaRL: Rollout-Aligned Quantization-Aware RL for Fast and Stable Training under Training-Inference Mismatch
    ACL 2026 ·
    Hao Gu
    ,
    Hao Wang
    , Jiacheng Liu,
    Lujun Li
    ,
    Qiyuan Zhu
    ,
    Bei Liu
    ,
    Binxing Xu
    ,
    Lei Wang
    ,
    Xintong Yang
    ,
    Sida Lin
    ,
    Sirui Han
    ,
    Yike Guo
  7. Outlier-Aware Model Merging for Efficient Multitask Inference
    ACM MM 2025 ·
    Qiyuan Zhu
    ,
    Lujun Li
    ,
    Dezhi Li
    , Jiacheng Liu,
    Pengyu Cheng
    ,
    Yucheng Xu
    ,
    Sirui Han
    ,
    Yike Guo
  8. Graph Contrastive Learning for Truth Inference
    ICDE 2024 ·
    Hao Liu
    , Jiacheng Liu,
    Feilong Tang
    ,
    Peng Li
    ,
    Long Chen
    ,
    Jiadi Yu
    ,
    Yanmin Zhu
    ,
    Min Gao
    ,
    Yanqin Yang
    ,
    Xiaofeng Hou
  9. LoRAExit: Empowering Dynamic Modulation of LLMs in Resource-limited Settings using Low-rank Adapters
    EMNLP 2024 · Jiacheng Liu,
    Peng Tang
    ,
    Xiaofeng Hou
    ,
    Chao Li
    ,
    Pheng-Ann Heng