Publications

Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu (2024). TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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Yunqian Fan, Xiuying Wei, Ruihao Gong, Yuqing Ma, Xiangguo Zhang, Qi Zhang, Xianglong Liu (2024). Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection. Proceedings of the AAAI Conference on Artificial Intelligence.

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Ruihao Gong, Yang Yong, Zining Wang, Jinyang Guo, Xiuying Wei, Yuqing Ma, Xianglong Liu (2024). Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes. Proceedings of the AAAI Conference on Artificial Intelligence.

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Bo Li, Yongqiang Yao, Jingru Tan, Ruihao Gong, Jianwei Lu, Ye Luo (2024). Rectify representation bias in vision-language models for long-tailed recognition. Neural Networks.

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Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang (2024). QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models. The Twelfth International Conference on Learning Representations.

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Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu (2023). Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

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Yumeng Shi, Shihao Bai, Xiuying Wei, Ruihao Gong, Jianlei Yang (2023). Lossy and Lossless (L2) Post-training Model Size Compression. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

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Aishan Liu, Shiyu Tang, Siyuan Liang, Ruihao Gong, Boxi Wu, Xianglong Liu, Dacheng Tao (2023). Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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Yuqing Ma, Hainan Li, Zhange Zhang, Jinyang Guo, Shanghang Zhang, Ruihao Gong, Xianglong Liu (2023). Annealing-Based Label-Transfer Learning for Open World Object Detection. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Jian Hu, Yongqiang Yao, Yunchen Zhang, Fengwei Yu, Xianglong Liu (2023). SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. Proceedings of Machine Learning and Systems.

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Mingzhen Li, Hailong Yang, Shanjun Zhang, Fengwei Yu, Ruihao Gong, Yi Liu, Zhongzhi Luan, Depei Qian (2023). Exploiting Subgraph Similarities for Efficient Auto-tuning of Tensor Programs. Proceedings of the 52nd International Conference on Parallel Processing.

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Yajun Gao, Shihao Bai, Xiaowei Zhao, Ruihao Gong, Yan Wu, Yuqing Ma (2023). Discrepant Semantic Diffusion Boosts Transfer Learning Robustness. Electronics.

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Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu (2022). Distribution-Sensitive Information Retention for Accurate Binary Neural Network. International Journal of Computer Vision.

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Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu (2022). Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models. Thirty-Sixth Conference on Neural Information Processing Systems.

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Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu (2022). QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. International Conference on Learning Representations.

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Liang Liu, Mingzhu Shen, Ruihao Gong, Fengwei Yu, Hailong Yang (2022). NNLQP: A Multi-Platform Neural Network Latency Query and Prediction System with An Evolving Database. 51 International Conference on Parallel Processing - ICPP.

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Yuxuan Wang, Jiakai Wang, Zixin Yin, Ruihao Gong, Jingyi Wang, Aishan Liu, Xianglong Liu (2022). Generating Transferable Adversarial Examples against Vision Transformers. Proceedings of the 30th ACM International Conference on Multimedia.

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Mingzhu Shen, Feng Liang, Ruihao Gong, Yuhang Li, Chuming Li, Chen Lin, Fengwei Yu, Junjie Yan, Wanli Ouyang (2021). Once Quantization-Aware Training: High Performance Extremely Low-Bit Architecture Search. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

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Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Xin Dong, Fengwei Yu, Shaoqing Lu, Shi Gu (2021). MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

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Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan (2021). MQBench: Towards Reproducible and Deployable Model Quantization Benchmark. Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks.

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Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu (2021). Diversifying Sample Generation for Accurate Data-Free Quantization. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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Shiyu Tang, Ruihao Gong, Yan Wang, Aishan Liu, Jiakai Wang, Xinyun Chen, Fengwei Yu, Xianglong Liu, Dawn Song, Alan Yuille, Philip H. S. Torr, Dacheng Tao (2021). RobustART: Benchmarking Robustness on Architecture Design and Training Techniques. Arxiv.

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Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu (2021). BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction. International Conference on Learning Representations.

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Feng Zhu, Ruihao Gong, Fengwei Yu, Xianglong Liu, Yanfei Wang, Zhelong Li, Xiuqi Yang, Junjie Yan (2020). Towards Unified INT8 Training for Convolutional Neural Network. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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Yudong Wu, Yichao Wu, Ruihao Gong, Yuanhao Lv, Ken Chen, Ding Liang, Xiaolin Hu, Xianglong Liu, Junjie Yan (2020). Rotation Consistent Margin Loss for Efficient Low-bit Face Recognition. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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Haotong Qin, Ruihao Gong, Xianglong Liu, Mingzhu Shen, Ziran Wei, Fengwei Yu, Jingkuan Song (2020). Forward and Backward Information Retention for Accurate Binary Neural Networks. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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Mingzhu Shen, Xianglong Liu, Ruihao Gong, Kai Han (2020). Balanced Binary Neural Networks with Gated Residual. International Conference on Acoustics, Speech, and Signal Processing (ICASSP).

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Yuhang Li, Ruihao Gong, Fengwei Yu, Xin Dong, Xianglong Liu (2020). DMS: Differentiable Dimension Search for Binary Neural Networks. ICLR 2020 NAS Workshop.

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Qingchang Han, Yongmin Hu, Fengwei Yu, Hailong Yang, Bing Liu, Peng Hu, Ruihao Gong, Yanfei Wang, Rui Wang, Zhongzhi Luan, Depei Qian (2020). Extremely Low-Bit Convolution Optimization for Quantized Neural Network on Modern Computer Architectures. 49th International Conference on Parallel Processing - ICPP.

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Yuhang Li, Wei Wang, Haoli Bai, Ruihao Gong, Xin Dong, Fengwei Yu (2020). Efficient Bitwidth Search for Practical Mixed Precision Neural Network.

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Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe (2020). Binary neural networks: A survey. Pattern Recognition.

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Ruihao Gong, Xianglong Liu, Shenghu Jiang, Tianxiang Li, Peng Hu, Jiazhen Lin, Fengwei Yu, Junjie Yan (2019). Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks. The IEEE International Conference on Computer Vision (ICCV).

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Nelson Bighetti, Robert Ford (2013). An example conference paper. Source Themes Conference.

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