Ruihao Gong
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    • AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints
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    • Pushing the Limit of Post-Training Quantization
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    • Tool Playgrounds: A Comprehensive and Analyzable Benchmark for LLM Tool Invocation
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    • Generating Transferable Adversarial Examples against Vision Transformers
    • NNLQP: A Multi-Platform Neural Network Latency Query and Prediction System with An Evolving Database
    • QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization
    • MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing
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    • Towards Unified INT8 Training for Convolutional Neural Network
    • Balanced Binary Neural Networks with Gated Residual
    • DMS: Differentiable Dimension Search for Binary Neural Networks
    • Binary neural networks: A survey
    • Efficient Bitwidth Search for Practical Mixed Precision Neural Network
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    • Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
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ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding

Jan 1, 2025·
Shuzhang Zhong
,
Zebin Yang
Ruihao Gong
Ruihao Gong
,
Runsheng Wang
,
Ru Huang
,
Meng Li
· 0 min read
Cite DOI
Type
Conference paper
Publication
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design
Last updated on Jan 1, 2025
Ruihao Gong
Authors
Ruihao Gong
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© 2025 Ruihao Gong. This work is licensed under CC BY NC ND 4.0