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2020 – today
- 2024
[j3]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: 106134 (2024)- [c32]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: 11936-11943 - [c31]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: 12190-12198 - [c30]Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu:
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. CVPR 2024: 7362-7371 - [c29]Ruihao Gong, Yang Yong, Shiqiao Gu, Yushi Huang, Chengtao Lv, Yunchen Zhang, Dacheng Tao, Xianglong Liu:
LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit. EMNLP (Industry Track) 2024: 132-152 - [c28]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 - [c27]Jinyang Guo, Jianyu Wu, Zining Wang, Jiaheng Liu, Ge Yang, Yifu Ding, Ruihao Gong, Haotong Qin, Xianglong Liu:
Compressing Large Language Models by Joint Sparsification and Quantization. ICML 2024 - [c26]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: 822-832 - [c25]Zining Wang, Jinyang Guo, Ruihao Gong, Yang Yong, Aishan Liu, Yushi Huang, Jiaheng Liu, Xianglong Liu:
PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models. ACM Multimedia 2024: 5742-5751 - [i32]Shuzhang Zhong, Zebin Yang, Meng Li, Ruihao Gong, Runsheng Wang, Ru Huang:
ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding. CoRR abs/2402.13485 (2024) - [i31]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 abs/2403.07153 (2024) - [i30]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 abs/2405.05808 (2024) - [i29]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 abs/2405.06001 (2024) - [i28]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 abs/2405.06264 (2024) - [i27]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 abs/2406.09041 (2024) - [i26]Yushi Huang, Ruihao Gong, Xianglong Liu, Jing Liu, Yuhang Li, Jiwen Lu, Dacheng Tao:
Temporal Feature Matters: A Framework for Diffusion Model Quantization. CoRR abs/2407.19547 (2024) - [i25]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 abs/2407.20761 (2024) - [i24]Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Haotong Qin, Jinyang Guo, Michele Magno, Xianglong Liu:
A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms. CoRR abs/2409.16694 (2024) - [i23]Yushi Huang, Zining Wang, Ruihao Gong, Jing Liu, Xinjie Zhang, Jun Zhang:
HarmoniCa: Harmonizing Training and Inference for Better Feature Cache in Diffusion Transformer Acceleration. CoRR abs/2410.01723 (2024) - 2023
- [j2]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): 26-47 (2023) - [c24]Jinyang Guo, Jiaheng Liu, Zining Wang, Yuqing Ma, Ruihao Gong, Ke Xu, Xianglong Liu:
Adaptive Contrastive Knowledge Distillation for BERT Compression. ACL (Findings) 2023: 8941-8953 - [c23]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: 4096-4107 - [c22]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: 11454-11463 - [c21]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: 1648-1665 - [c20]Yumeng Shi, Shihao Bai, Xiuying Wei, Ruihao Gong, Jianlei Yang:
Lossy and Lossless (L2) Post-training Model Size Compression. ICCV 2023: 17500-17510 - [c19]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: 786-796 - [c18]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 - [i22]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 abs/2304.09145 (2023) - [i21]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 abs/2307.00280 (2023) - [i20]Yumeng Shi, Shihao Bai, Xiuying Wei, Ruihao Gong, Jianlei Yang:
Lossy and Lossless (L2) Post-training Model Size Compression. CoRR abs/2308.04269 (2023) - [i19]Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang:
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models. CoRR abs/2310.08041 (2023) - [i18]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 abs/2310.13513 (2023) - [i17]Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu:
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. CoRR abs/2311.16503 (2023) - 2022
- [c17]Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu:
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. ICLR 2022 - [c16]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: 78:1-78:14 - [c15]Yuxuan Wang, Jiakai Wang, Zixin Yin, Ruihao Gong, Jingyi Wang, Aishan Liu, Xianglong Liu:
Generating Transferable Adversarial Examples against Vision Transformers. ACM Multimedia 2022: 5181-5190 - [c14]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 - [i16]Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu:
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. CoRR abs/2203.05740 (2022) - [i15]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 abs/2209.13325 (2022) - [i14]Shiyu Tang, Siyuan Liang, Ruihao Gong, Aishan Liu, Xianglong Liu, Dacheng Tao:
Exploring the Relationship between Architecture and Adversarially Robust Generalization. CoRR abs/2209.14105 (2022) - 2021
- [c13]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: 15658-15667 - [c12]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: 4390-4399 - [c11]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: 5320-5329 - [c10]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 - [c9]Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu:
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration. ICML 2021: 6316-6325 - [c8]Yan Wang, Yuhang Li, Ruihao Gong, Tianzi Xiao, Fengwei Yu:
Real World Robustness from Systematic Noise. AdvM @ ACM Multimedia 2021: 42-48 - [c7]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 - [i13]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 abs/2102.05426 (2021) - [i12]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 abs/2103.01049 (2021) - [i11]Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu:
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration. CoRR abs/2106.06984 (2021) - [i10]Yan Wang, Yuhang Li, Ruihao Gong:
Real World Robustness from Systematic Noise. CoRR abs/2109.00864 (2021) - [i9]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 abs/2109.05211 (2021) - [i8]Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu:
Distribution-sensitive Information Retention for Accurate Binary Neural Network. CoRR abs/2109.12338 (2021) - [i7]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 abs/2111.03759 (2021) - 2020
- [j1]Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe:
Binary neural networks: A survey. Pattern Recognit. 105: 107281 (2020) - [c6]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: 1966-1976 - [c5]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: 2247-2256 - [c4]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: 6865-6875 - [c3]Mingzhu Shen, Xianglong Liu, Ruihao Gong, Kai Han:
Balanced Binary Neural Networks with Gated Residual. ICASSP 2020: 4197-4201 - [c2]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: 38:1-38:12 - [i6]Yuhang Li, Wei Wang, Haoli Bai, Ruihao Gong, Xin Dong, Fengwei Yu:
Efficient Bitwidth Search for Practical Mixed Precision Neural Network. CoRR abs/2003.07577 (2020) - [i5]Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe:
Binary Neural Networks: A Survey. CoRR abs/2004.03333 (2020) - [i4]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 abs/2011.09899 (2020)
2010 – 2019
- 2019
- [c1]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: 4851-4860 - [i3]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 abs/1908.05033 (2019) - [i2]Mingzhu Shen, Xianglong Liu, Kai Han, Ruihao Gong, Yunhe Wang, Chang Xu:
Balanced Binary Neural Networks with Gated Residual. CoRR abs/1909.12117 (2019) - [i1]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 abs/1912.12607 (2019)
Coauthor Index
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last updated on 2024-11-22 20:42 CET by the dblp team
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