Ruihao Gong

Venues

Frequent coauthors

Papers

1. Focus-dLLM: Accelerating Long-Context Diffusion LLM Inference via Confidence-Guided Context Focusing
   ACL 2026 ·

   Lingkun Long

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2. Half-S: Halving the Scale for Near-Lossless 4-Bit LLM Training
   ACL 2026 ·

   Jinyang Du

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3. LLMC+: Benchmarking Vision-Language Model Compression with a plug-and-play Toolkit
   AAAI 2026 ·

   Chengtao Lv

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4. AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints
   AAAI 2025 ·

   Zhiwei Dong

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5. DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models
   ICML 2025 ·

   Changyi He

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6. HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration
   ICML 2025 ·

   Yushi Huang

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7. Hierachical Balance Packing: Towards Efficient Supervised Fine-tuning for Long-Context LLM
   NeurIPS 2025 ·

   Yongqiang Yao

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8. OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance
   ICML 2025 ·

   Yongqiang Yao

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9. Pre³: Enabling Deterministic Pushdown Automata for Faster Structured LLM Generation
   ACL 2025 ·

   Junyi Chen

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10. Compressing Large Language Models by Joint Sparsification and Quantization
    ICML 2024 ·

    Jinyang Guo

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11. Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes
    AAAI 2024 · Ruihao Gong
12. LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit
    EMNLP 2024 · Ruihao Gong
13. PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models
    ACM MM 2024 ·

    Zining Wang

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14. QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
    ICLR 2024 ·

    Jing Liu

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15. Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection
    AAAI 2024 ·

    Yunqian Fan

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16. TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
    CVPR 2024 ·

    Yushi Huang

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