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Ruihao Gong

16 papers at tracked venues · 15 at CORE A* · active 2024–2026

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Venues

AAAI ×4ICML ×4ACL ×3ACM MM ×1CVPR ×1EMNLP ×1ICLR ×1NeurIPS ×1

Frequent coauthors

Xianglong Liu
×10
Jinyang Guo
×7
Yushi Huang
×6
Zining Wang
×5
Yang Yong
×4
Xiuying Wei
×4
Shihao Bai
×3
Dahua Lin
×3
Jing Liu
×3
Jun Zhang
×2
Chengtao Lv
×2
Shiqiao Gu
×2

Papers

  1. Focus-dLLM: Accelerating Long-Context Diffusion LLM Inference via Confidence-Guided Context Focusing
    ACL 2026 ·
    Lingkun Long
    ,
    Yushi Huang
    ,
    Shihao Bai
    , Ruihao Gong,
    Jun Zhang
    ,
    Ao Zhou
    ,
    Jianlei Yang
  2. Half-S: Halving the Scale for Near-Lossless 4-Bit LLM Training
    ACL 2026 ·
    Jinyang Du
    , Ruihao Gong,
    Linghan Ai
    ,
    Zining Wang
    ,
    Yunke Peng
    ,
    Yao Wang
    ,
    Lei Yan
    ,
    Xuefei Wang
    ,
    Yaoyuan Wang
    ,
    Jinyang Guo
    ,
    Dahua Lin
    ,
    Xianglong Liu
  3. LLMC+: Benchmarking Vision-Language Model Compression with a plug-and-play Toolkit
    AAAI 2026 ·
    Chengtao Lv
    ,
    Bilang Zhang
    ,
    Yang Yong
    , Ruihao Gong,
    Yushi Huang
    ,
    Shiqiao Gu
    ,
    Jiajun Wu
    ,
    Yumeng Shi
    ,
    Jinyang Guo
    ,
    Wenya Wang
  4. AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints
    AAAI 2025 ·
    Zhiwei Dong
    ,
    Mingzhu Shen
    ,
    Shihao Bai
    ,
    Xiuying Wei
    ,
    Jinyang Guo
    , Ruihao Gong,
    Song-Lu Chen
    ,
    Xianglong Liu
    ,
    Xu-Cheng Yin
  5. DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models
    ICML 2025 ·
    Changyi He
    ,
    Yifu Ding
    ,
    Jinyang Guo
    , Ruihao Gong,
    Haotong Qin
    ,
    Xianglong Liu
  6. HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration
    ICML 2025 ·
    Yushi Huang
    ,
    Zining Wang
    , Ruihao Gong,
    Jing Liu
    ,
    Xinjie Zhang
    ,
    Jinyang Guo
    ,
    Xianglong Liu
    ,
    Jun Zhang
  7. Hierachical Balance Packing: Towards Efficient Supervised Fine-tuning for Long-Context LLM
    NeurIPS 2025 ·
    Yongqiang Yao
    ,
    Jingru Tan
    ,
    Kaihuan Liang
    ,
    Feizhao Zhang
    ,
    Jiahao Hu
    ,
    Shuo Wu
    ,
    Yazhe Niu
    , Ruihao Gong,
    Dahua Lin
    ,
    Ningyi Xu
  8. OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance
    ICML 2025 ·
    Yongqiang Yao
    ,
    Jingru Tan
    ,
    Feizhao Zhang
    ,
    Jiahao Hu
    ,
    Yazhe Niu
    ,
    Xin Jin
    ,
    Bo Li
    ,
    Pengfei Liu
    , Ruihao Gong,
    Dahua Lin
    ,
    Ningyi Xu
  9. Pre³: Enabling Deterministic Pushdown Automata for Faster Structured LLM Generation
    ACL 2025 ·
    Junyi Chen
    ,
    Shihao Bai
    ,
    Zaijun Wang
    ,
    Siyu Wu
    ,
    Chuheng Du
    ,
    Hailong Yang
    , Ruihao Gong,
    Shengzhong Liu
    ,
    Fan Wu
    ,
    Guihai Chen
  10. Compressing Large Language Models by Joint Sparsification and Quantization
    ICML 2024 ·
    Jinyang Guo
    ,
    Jianyu Wu
    ,
    Zining Wang
    ,
    Jiaheng Liu
    ,
    Ge Yang
    ,
    Yifu Ding
    , Ruihao Gong,
    Haotong Qin
    ,
    Xianglong Liu
  11. Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes
    AAAI 2024 · Ruihao Gong,
    Yang Yong
    ,
    Zining Wang
    ,
    Jinyang Guo
    ,
    Xiuying Wei
    ,
    Yuqing Ma
    ,
    Xianglong Liu
  12. LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit
    EMNLP 2024 · Ruihao Gong,
    Yang Yong
    ,
    Shiqiao Gu
    ,
    Yushi Huang
    ,
    Chengtao Lv
    ,
    Yunchen Zhang
    ,
    Dacheng Tao
    ,
    Xianglong Liu
  13. PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models
    ACM MM 2024 ·
    Zining Wang
    ,
    Jinyang Guo
    , Ruihao Gong,
    Yang Yong
    ,
    Aishan Liu
    ,
    Yushi Huang
    ,
    Jiaheng Liu
    ,
    Xianglong Liu
  14. QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
    ICLR 2024 ·
    Jing Liu
    , Ruihao Gong,
    Xiuying Wei
    ,
    Zhiwei Dong
    ,
    Jianfei Cai
    ,
    Bohan Zhuang
  15. Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection
    AAAI 2024 ·
    Yunqian Fan
    ,
    Xiuying Wei
    , Ruihao Gong,
    Yuqing Ma
    ,
    Xiangguo Zhang
    ,
    Qi Zhang
    ,
    Xianglong Liu
  16. TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
    CVPR 2024 ·
    Yushi Huang
    , Ruihao Gong,
    Jing Liu
    ,
    Tianlong Chen
    ,
    Xianglong Liu