Ruihao Gong

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 61

Top Topics

Computer Architecture

Top Venues

Publications

Yunqian Fan, Xiuying Wei, Ruihao Gong, Yuqing Ma, Xiangguo Zhang, Qi Zhang, Xianglong Liu
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection. AAAI (2024)
Ruihao Gong, Yang Yong, Zining Wang, Jinyang Guo, Xiuying Wei, Yuqing Ma, Xianglong Liu
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes. CoRR (2024)
Yongqiang Yao, Jingru Tan, Jiahao Hu, Feizhao Zhang, Xin Jin, Bo Li, Ruihao Gong, Pengfei Liu
OmniBal: Towards Fast Instruct-tuning for Vision-Language Models via Omniverse Computation Balance. CoRR (2024)
Shuzhang Zhong, Zebin Yang, Meng Li, Ruihao Gong, Runsheng Wang, Ru Huang
ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding. CoRR (2024)
Yunqian Fan, Xiuying Wei, Ruihao Gong, Yuqing Ma, Xiangguo Zhang, Qi Zhang, Xianglong Liu
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection. CoRR (2024)
Yushi Huang, Ruihao Gong, Xianglong Liu, Jing Liu, Yuhang Li, Jiwen Lu, Dacheng Tao
Temporal Feature Matters: A Framework for Diffusion Model Quantization. CoRR (2024)
Siyu Wu, Hailong Yang, Xin You, Ruihao Gong, Yi Liu, Zhongzhi Luan, Depei Qian
PRoof: A Comprehensive Hierarchical Profiling Framework for Deep Neural Networks with Roofline Analysis. ICPP (2024)
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
2023 Low-Power Computer Vision Challenge (LPCVC) Summary. CoRR (2024)
Ruihao Gong, Yang Yong, Zining Wang, Jinyang Guo, Xiuying Wei, Yuqing Ma, Xianglong Liu
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes. AAAI (2024)
Ruihao Gong, Yang Yong, Shiqiao Gu, Yushi Huang, Yunchen Zhang, Xianglong Liu, Dacheng Tao
LLM-QBench: A Benchmark Towards the Best Practice for Post-training Quantization of Large Language Models. CoRR (2024)
Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models. ICLR (2024)
Bo Li, Yongqiang Yao, Jingru Tan, Ruihao Gong, Jianwei Lu, Ye Luo
Rectify representation bias in vision-language models for long-tailed recognition. Neural Networks 172 (2024)
Jing Liu, Ruihao Gong, Mingyang Zhang, Yefei He, Jianfei Cai, Bohan Zhuang
ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models. CoRR (2024)
Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. MLSys (2023)
Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models. CoRR (2023)
Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu
Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling. CoRR (2023)
Zhuoyi Zhang, Yunchen Zhang, Gonglei Shi, Yu Shen, Ruihao Gong, Xiaoxu Xia, Qi Zhang, Lewei Lu, Xianglong Liu
Exploring the Potential of Flexible 8-bit Format: Design and Algorithm. CoRR (2023)
Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. CoRR (2023)
Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu
Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling. EMNLP (2023)
Aishan Liu, Shiyu Tang, Siyuan Liang, Ruihao Gong, Boxi Wu, Xianglong Liu, Dacheng Tao
Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization. CVPR (2023)
Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu
Distribution-Sensitive Information Retention for Accurate Binary Neural Network. Int. J. Comput. Vis. 131 (1) (2023)
Yumeng Shi, Shihao Bai, Xiuying Wei, Ruihao Gong, Jianlei Yang
) Post-training Model Size Compression. ICCV (2023)
Jinyang Guo, Jiaheng Liu, Zining Wang, Yuqing Ma, Ruihao Gong, Ke Xu, Xianglong Liu
Adaptive Contrastive Knowledge Distillation for BERT Compression. ACL (Findings) (2023)
Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. CoRR (2023)
Yuqing Ma, Hainan Li, Zhange Zhang, Jinyang Guo, Shanghang Zhang, Ruihao Gong, Xianglong Liu
Annealing-based Label-Transfer Learning for Open World Object Detection. CVPR (2023)
Yumeng Shi, Shihao Bai, Xiuying Wei, Ruihao Gong, Jianlei Yang
) Post-training Model Size Compression. CoRR (2023)
Mingzhen Li, Hailong Yang, Shanjun Zhang, Fengwei Yu, Ruihao Gong, Yi Liu, Zhongzhi Luan, Depei Qian
Exploiting Subgraph Similarities for Efficient Auto-tuning of Tensor Programs. ICPP (2023)
Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models. CoRR (2022)
Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models. NeurIPS (2022)
Shiyu Tang, Siyuan Liang, Ruihao Gong, Aishan Liu, Xianglong Liu, Dacheng Tao
Exploring the Relationship between Architecture and Adversarially Robust Generalization. CoRR (2022)
Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. ICLR (2022)
Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. CoRR (2022)
Liang Liu, Mingzhu Shen, Ruihao Gong, Fengwei Yu, Hailong Yang
NNLQP: A Multi-Platform Neural Network Latency Query and Prediction System with An Evolving Database. ICPP (2022)
Yuxuan Wang, Jiakai Wang, Zixin Yin, Ruihao Gong, Jingyi Wang, Aishan Liu, Xianglong Liu
Generating Transferable Adversarial Examples against Vision Transformers. ACM Multimedia (2022)
Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu
Diversifying Sample Generation for Accurate Data-Free Quantization. CVPR (2021)
Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction. ICLR (2021)
Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark. NeurIPS Datasets and Benchmarks (2021)
Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark. CoRR (2021)
Yan Wang, Yuhang Li, Ruihao Gong
Real World Robustness from Systematic Noise. CoRR (2021)
Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Xin Dong, Fengwei Yu, Shaoqing Lu, Shi Gu
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing. ICCV (2021)
Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration. ICML (2021)
Mingzhu Shen, Feng Liang, Ruihao Gong, Yuhang Li, Chuming Li, Chen Lin, Fengwei Yu, Junjie Yan, Wanli Ouyang
Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search. ICCV (2021)
Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction. CoRR (2021)
Yan Wang, Yuhang Li, Ruihao Gong, Tianzi Xiao, Fengwei Yu
Real World Robustness from Systematic Noise. AdvM @ ACM Multimedia (2021)
Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration. CoRR (2021)
Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu
Diversifying Sample Generation for Accurate Data-Free Quantization. CoRR (2021)
Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu
Distribution-sensitive Information Retention for Accurate Binary Neural Network. CoRR (2021)
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
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques. CoRR (2021)
Mingzhu Shen, Xianglong Liu, Ruihao Gong, Kai Han
Balanced Binary Neural Networks with Gated Residual. ICASSP (2020)
Yuhang Li, Wei Wang, Haoli Bai, Ruihao Gong, Xin Dong, Fengwei Yu
Efficient Bitwidth Search for Practical Mixed Precision Neural Network. CoRR (2020)
Qingchang Han, Yongmin Hu, Fengwei Yu, Hailong Yang, Bing Liu, Peng Hu, Ruihao Gong, Yanfei Wang, Rui Wang, Zhongzhi Luan, Depei Qian
Extremely Low-bit Convolution Optimization for Quantized Neural Network on Modern Computer Architectures. ICPP (2020)
Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe
Binary Neural Networks: A Survey. CoRR (2020)
Feng Zhu, Ruihao Gong, Fengwei Yu, Xianglong Liu, Yanfei Wang, Zhelong Li, Xiuqi Yang, Junjie Yan
Towards Unified INT8 Training for Convolutional Neural Network. CVPR (2020)
Haotong Qin, Ruihao Gong, Xianglong Liu, Mingzhu Shen, Ziran Wei, Fengwei Yu, Jingkuan Song
Forward and Backward Information Retention for Accurate Binary Neural Networks. CVPR (2020)
Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Fengwei Yu, Shaoqing Lu, Shi Gu
Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization. CoRR (2020)
Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe
Binary neural networks: A survey. Pattern Recognit. 105 (2020)
Yudong Wu, Yichao Wu, Ruihao Gong, Yuanhao Lv, Ken Chen, Ding Liang, Xiaolin Hu, Xianglong Liu, Junjie Yan
Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition. CVPR (2020)
Ruihao Gong, Xianglong Liu, Shenghu Jiang, Tianxiang Li, Peng Hu, Jiazhen Lin, Fengwei Yu, Junjie Yan
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks. ICCV (2019)
Ruihao Gong, Xianglong Liu, Shenghu Jiang, Tianxiang Li, Peng Hu, Jiazhen Lin, Fengwei Yu, Junjie Yan
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks. CoRR (2019)
Mingzhu Shen, Xianglong Liu, Kai Han, Ruihao Gong, Yunhe Wang, Chang Xu
Balanced Binary Neural Networks with Gated Residual. CoRR (2019)
Feng Zhu, Ruihao Gong, Fengwei Yu, Xianglong Liu, Yanfei Wang, Zhelong Li, Xiuqi Yang, Junjie Yan
Towards Unified INT8 Training for Convolutional Neural Network. CoRR (2019)