Ruihao Gong

According to our database, Ruihao Gong authored at least 50 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Rectify representation bias in vision-language models for long-tailed recognition.

Bo Li, Yongqiang Yao, Jingru Tan, Ruihao Gong, Jianwei Lu, Ye Luo

Neural Networks, 2024

HarmoniCa: Harmonizing Training and Inference for Better Feature Cache in Diffusion Transformer Acceleration.

Yushi Huang, Zining Wang, Ruihao Gong, Jing Liu, Xinjie Zhang, Jun Zhang

CoRR, 2024

A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms.

Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Haotong Qin, Jinyang Guo, Michele Magno, Xianglong Liu

CoRR, 2024

OmniBal: Towards Fast Instruct-tuning for Vision-Language Models via Omniverse Computation Balance.

Yongqiang Yao, Jingru Tan, Jiahao Hu, Feizhao Zhang, Xin Jin, Bo Li, Ruihao Gong, Pengfei Liu

CoRR, 2024

Temporal Feature Matters: A Framework for Diffusion Model Quantization.

Yushi Huang, Ruihao Gong, Xianglong Liu, Jing Liu, Yuhang Li, Jiwen Lu, Dacheng Tao

CoRR, 2024

ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models.

Jing Liu, Ruihao Gong, Mingyang Zhang, Yefei He, Jianfei Cai, Bohan Zhuang

CoRR, 2024

LLM-QBench: A Benchmark Towards the Best Practice for Post-training Quantization of Large Language Models.

Ruihao Gong, Yang Yong, Shiqiao Gu, Yushi Huang, Yunchen Zhang, Xianglong Liu, Dacheng Tao

CoRR, 2024

2023 Low-Power Computer Vision Challenge (LPCVC) Summary.

Leo Chen, Benjamin Boardley, Ping Hu, Yiru Wang, Yifan Pu, Xin Jin, Yongqiang Yao, Ruihao Gong, Bo Li, Gao Huang, Xianglong Liu, Zifu Wan, Xinwang Chen, Ning Liu, Ziyi Zhang, Dongping Liu, Ruijie Shan, Zhengping Che, Fachao Zhang, Xiaofeng Mou, Jian Tang, Maxim Chuprov, Ivan Malofeev, Alexander Goncharenko, Andrey Shcherbin, Arseny Yanchenko, Sergey Alyamkin, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu

CoRR, 2024

ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding.

Shuzhang Zhong, Zebin Yang, Meng Li, Ruihao Gong, Runsheng Wang, Ru Huang

CoRR, 2024

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models.

Zining Wang, Jinyang Guo, Ruihao Gong, Yang Yong, Aishan Liu, Yushi Huang, Jiaheng Liu, Xianglong Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

PRoof: A Comprehensive Hierarchical Profiling Framework for Deep Neural Networks with Roofline Analysis.

Siyu Wu, Hailong Yang, Xin You, Ruihao Gong, Yi Liu, Zhongzhi Luan, Depei Qian

Proceedings of the 53rd International Conference on Parallel Processing, 2024

Compressing Large Language Models by Joint Sparsification and Quantization.

Jinyang Guo, Jianyu Wu, Zining Wang, Jiaheng Liu, Ge Yang, Yifu Ding, Ruihao Gong, Haotong Qin, Xianglong Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models.

Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models.

Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes.

Ruihao Gong, Yang Yong, Zining Wang, Jinyang Guo, Xiuying Wei, Yuqing Ma, Xianglong Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection.

Yunqian Fan, Xiuying Wei, Ruihao Gong, Yuqing Ma, Xiangguo Zhang, Qi Zhang, Xianglong Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Distribution-Sensitive Information Retention for Accurate Binary Neural Network.

Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu

Int. J. Comput. Vis., 2023

Exploring the Potential of Flexible 8-bit Format: Design and Algorithm.

Zhuoyi Zhang, Yunchen Zhang, Gonglei Shi, Yu Shen, Ruihao Gong, Xiaoxu Xia, Qi Zhang, Lewei Lu, Xianglong Liu

CoRR, 2023

Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling.

Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu

CoRR, 2023

SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency.

Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Exploiting Subgraph Similarities for Efficient Auto-tuning of Tensor Programs.

Mingzhen Li, Hailong Yang, Shanjun Zhang, Fengwei Yu, Ruihao Gong, Yi Liu, Zhongzhi Luan, Depei Qian

Proceedings of the 52nd International Conference on Parallel Processing, 2023

Lossy and Lossless (L²) Post-training Model Size Compression.

Yumeng Shi, Shihao Bai, Xiuying Wei, Ruihao Gong, Jianlei Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling.

Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Annealing-based Label-Transfer Learning for Open World Object Detection.

Yuqing Ma, Hainan Li, Zhange Zhang, Jinyang Guo, Shanghang Zhang, Ruihao Gong, Xianglong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization.

Aishan Liu, Shiyu Tang, Siyuan Liang, Ruihao Gong, Boxi Wu, Xianglong Liu, Dacheng Tao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Adaptive Contrastive Knowledge Distillation for BERT Compression.

Jinyang Guo, Jiaheng Liu, Zining Wang, Yuqing Ma, Ruihao Gong, Ke Xu, Xianglong Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Exploring the Relationship between Architecture and Adversarially Robust Generalization.

Shiyu Tang, Siyuan Liang, Ruihao Gong, Aishan Liu, Xianglong Liu, Dacheng Tao

CoRR, 2022

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models.

Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generating Transferable Adversarial Examples against Vision Transformers.

Yuxuan Wang, Jiakai Wang, Zixin Yin, Ruihao Gong, Jingyi Wang, Aishan Liu, Xianglong Liu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

NNLQP: A Multi-Platform Neural Network Latency Query and Prediction System with An Evolving Database.

Liang Liu, Mingzhu Shen, Ruihao Gong, Fengwei Yu, Hailong Yang

Proceedings of the 51st International Conference on Parallel Processing, 2022

QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization.

Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

RobustART: Benchmarking Robustness on Architecture Design and Training Techniques.

Shiyu Tang, Ruihao Gong, Yan Wang, Aishan Liu, Jiakai Wang, Xinyun Chen, Fengwei Yu, Xianglong Liu, Dawn Song, Alan L. Yuille, Philip H. S. Torr, Dacheng Tao

CoRR, 2021

Real World Robustness from Systematic Noise.

Yan Wang, Yuhang Li, Ruihao Gong

CoRR, 2021

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark.

Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Real World Robustness from Systematic Noise.

Yan Wang, Yuhang Li, Ruihao Gong, Tianzi Xiao, Fengwei Yu

Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021

A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration.

Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu

Proceedings of the 38th International Conference on Machine Learning, 2021

BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction.

Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu

Proceedings of the 9th International Conference on Learning Representations, 2021

Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search.

Mingzhu Shen, Feng Liang, Ruihao Gong, Yuhang Li, Chuming Li, Chen Lin, Fengwei Yu, Junjie Yan, Wanli Ouyang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing.

Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Xin Dong, Fengwei Yu, Shaoqing Lu, Shi Gu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Diversifying Sample Generation for Accurate Data-Free Quantization.

Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Binary neural networks: A survey.

Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe

Pattern Recognit., 2020

Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization.

Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Fengwei Yu, Shaoqing Lu, Shi Gu

CoRR, 2020

Efficient Bitwidth Search for Practical Mixed Precision Neural Network.

Yuhang Li, Wei Wang, Haoli Bai, Ruihao Gong, Xin Dong, Fengwei Yu

CoRR, 2020

Extremely Low-bit Convolution Optimization for Quantized Neural Network on Modern Computer Architectures.

Qingchang Han, Yongmin Hu, Fengwei Yu, Hailong Yang, Bing Liu, Peng Hu, Ruihao Gong, Yanfei Wang, Rui Wang, Zhongzhi Luan, Depei Qian

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

Balanced Binary Neural Networks with Gated Residual.

Mingzhu Shen, Xianglong Liu, Ruihao Gong, Kai Han

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Towards Unified INT8 Training for Convolutional Neural Network.

Feng Zhu, Ruihao Gong, Fengwei Yu, Xianglong Liu, Yanfei Wang, Zhelong Li, Xiuqi Yang, Junjie Yan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition.

Yudong Wu, Yichao Wu, Ruihao Gong, Yuanhao Lv, Ken Chen, Ding Liang, Xiaolin Hu, Xianglong Liu, Junjie Yan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Forward and Backward Information Retention for Accurate Binary Neural Networks.

Haotong Qin, Ruihao Gong, Xianglong Liu, Mingzhu Shen, Ziran Wei, Fengwei Yu, Jingkuan Song

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Balanced Binary Neural Networks with Gated Residual.

Mingzhu Shen, Xianglong Liu, Kai Han, Ruihao Gong, Yunhe Wang, Chang Xu

CoRR, 2019

Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks.

Ruihao Gong, Xianglong Liu, Shenghu Jiang, Tianxiang Li, Peng Hu, Jiazhen Lin, Fengwei Yu, Junjie Yan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019