Xianglong Liu

Professor

State Key Laboratory of Software Development Environment
School of Computer Science and Engineering, Beihang University, China

Office: Room G606, New Main Building
Address: 37 Xueyuan Road, Haidian, Beijing 100191, China
Tel.: +86-10-8233-8092
Email: xlliu@nlsde.buaa.edu.cn / xlliu@buaa.edu.cn

I am a Full Professor in School of Computer Science and Engineering at Beihang University. I received BS and Ph.D degrees under supervision of Prof. Wei Li, and visited DVMM Lab, Columbia University as a joint Ph.D student supervised by Prof. Shih-Fu Chang. My research interests include fast visual computing (e.g., large-scale search/understanding) and robust deep learning (e.g., network quantization, adversarial attack/defense, few shot learning). I received NSFC Excellent Young Scientists Fund, and was selected into 2019 Beijing Nova Program, MSRA StarTrack Program, and 2015 CCF Young Talents Development Program.

Our Group | AI Safety | Network Quantization | Open-World Detection

Selected Publications| All Publications | Hashing | Google Scholar | DBLP

NEW Feb 2024: Six papers on network quantization, adversarial attack and object detection accepted by IEEE CVPR 2024.

NEW Sep 2023: Two papers on network quantization accepted by NeurIPS 2023.

NEW Apr 2023: Two papers on network quantization accepted by ICML 2023 and IEEE T-PAMI.

NEW Apr 2023: We are organizing 1st International Workshop on Generalizing from Limited Resources in the Open World with the X-ray open-world prohibited item detection challenge on IJCAI 2023.

NEW Feb 2023: One paper accepted by USENIX Security Symposium 2023, and Three papers accepted by IEEE CVPR 2023.

Selected Papers | AI Safety | Network Quantization | Open-World Detection | All Publications

BiBench: Benchmarking and Analyzing Network Binarization

Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu*

ICML, 2023

@inproceedings{Qin:ICML23,
  author    = {Haotong Qin and Mingyuan Zhang and Yifu Ding and Aoyu Li and Zhongang Cai and Ziwei Liu and Fisher Yu and Xianglong Liu},
  title     = {BiBench: Benchmarking and Analyzing Network Binarization},
  booktitle = {ICML},
  year      = {2023},
  }

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*

NeurIPS, 2022

@inproceedings{Wei:NeurIPS22,
  author    = {Xiuying Wei and Yunchen Zhang and Xiangguo Zhang and Ruihao Gong and Shanghang Zhang and Qi Zhang and Fengwei Yu and Xianglong Liu},
  title     = {Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models},
  booktitle = {NeurIPS},
  year      = {2022},
  }

BiFSMN: Binary Neural Network for Keyword Spotting

Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu*

IJCAI, 2022

@inproceedings{Qin:IJCAI22,
  author    = {Haotong Qin and Xudong Ma and Yifu Ding and Xiaoyang Li and Yang Zhang and Yao Tian and Zejun Ma and Jie Luo and Xianglong Liu},
  title     = {BiFSMN: Binary Neural Network for Keyword Spotting},
  booktitle = {IJCAI},
  year      = {2022},
  }

Defensive Patches for Robust Recognition in the Physical World

Jiakai Wang, Zixin Yin, Pengfei Hu, Renshuai Tao, Haotong Qin, Xianglong Liu*, Dacheng Tao, Aishan Liu

IEEE CVPR, 2022

@inproceedings{Wang:CVPR22,
  author    = {Jiakai Wang and Zixin Yin and Pengfei Hu and Renshuai Tao and Haotong Qin and Xianglong Liu and Dacheng Tao and Aishan Liu},
  title     = {Defensive Patches for Robust Recognition in the Physical World},
  booktitle = {IEEE CVPR},
  year      = {2022},
  }

Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network

Renshuai Tao, Hainan Li, Tianbo Wang, Yanlu Wei, Yifu Ding, Bowei Jin, Hongping Zhi, Xianglong Liu*, Aishan Liu

IEEE CVPR, 2022

@inproceedings{Tao:CVPR22,
  author    = {Renshuai Tao and Hainan Li and Tianbo Wang and Yanlu Wei and Yifu Ding and Bowei Jin and, Hongping Zhi and Xianglong Liu and Aishan Liu},
  title     = {Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network},
  booktitle = {IEEE CVPR},
  year      = {2022},
  }

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

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

ICLR, 2022

@inproceedings{Wei:ICLR22,
  author    = {Xiuying Wei and Ruihao Gong and Yuhang Li and Xianglong Liu and Fengwei Yu},
  title     = {QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization},
  booktitle = {ICLR},
  year      = {2022},
  }

BiBERT: Accurate Fully Binarized BERT

Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu*

ICLR, 2022

@inproceedings{Qin:ICLR22,
  author    = {Haotong Qin and Yifu Ding and Mingyuan Zhang and Qinghua Yan and Aishan Liu and Qingqing Dang and Ziwei Liu and Xianglong Liu*},
  title     = {BiBERT: Accurate Fully Binarized BERT},
  booktitle = {ICLR},
  year      = {2022},
  }

Towards Real-world X-ray Security Inspection: A High-quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection

Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin, Jiakai Wang, Yuqing Ma, Libo Zhang, Xianglong Liu*

IEEE ICCV, 2021

@inproceedings{Tao:ICCV21,
  author    = {Renshuai Tao and Yanlu Wei and Xiangjian Jiang and Hainan Li and Haotong Qin and Jiakai Wang and Yuqing Ma and Libo Zhang and Xianglong Liu*},
  title     = {Towards Real-world X-ray Security Inspection: A High-quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection},
  booktitle = {IEEE ICCV},
  year      = {2021},
  }

Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World

Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu*

IEEE CVPR (oral), 2021

@inproceedings{Wang:cvpr21,
  author    = {Jiakai Wang and Aishan Liu and Zixin Yin and Shunchang Liu and Shiyu Tang and Xianglong Liu},
  title     = {Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World},
  booktitle = {IEEE CVPR},
  year      = {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*

IEEE CVPR (oral), 2021

@inproceedings{Zhang:cvpr21,
  author    = {Xiangguo Zhang and Haotong Qin and Yifu Ding and Ruihao Gong and Qinghua Yan and Renshuai Tao and Yuhang Li and Fengwei Yu and Xianglong Liu},
  title     = {Diversifying Sample Generation for Accurate Data-Free Quantization},
  booktitle = {IEEE CVPR},
  year      = {2021},
  }

BiPointNet: Binary Neural Network for Point Clouds

Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu*, Hao Su

ICLR, 2021

@inproceedings{Qin:iclr21,
  author    = {Haotong Qin and Zhongang Cai and Mingyuan Zhang and Yifu Ding and Haiyu Zhao and Shuai Yi and Xianglong Liu* and Hao Su},
  title     = {BiPointNet: Binary Neural Network for Point Clouds},
  booktitle = {ICLR},
  year      = {2021},
  }

Bias-based Universal Adversarial Patch Attack for Automatic Check-out

Aishan Liu, Jiakai Wang, Xianglong Liu*, Bowen Cao, Chongzhi Zhang, Hang Yu.

ECCV, 2020

@inproceedings{Liu:eccv20_bias,
  author    = {Aishan Liu and Jiakai Wang and Xianglong Liu and Bowen Cao and Chongzhi Zhang and Hang Yu},
  title     = {Bias-based Universal Adversarial Patch Attack for Automatic Check-out},
  booktitle = {ECCV},
  year      = {2020},
  }

Spatiotemporal Attacks for Embodied Agents

Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen Maybank, Dacheng Tao

ECCV, 2020

@inproceedings{Liu:eccv20_spatiotemporal,
  author    = {Aishan Liu and Tairan Huang and Xianglong Liu and Yitao Xu and Yuqing Ma and Xinyun Chen and Stephen Maybank and Dacheng Tao},
  title     = {Spatiotemporal Attacks for Embodied Agents},
  booktitle = {ECCV},
  year      = {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

IEEE CVPR, 2020

@inproceedings{Zhu:cvpr20,
  author    = {Feng Zhu and Ruihao Gong and Fengwei Yu and Xianglong Liu and Yanfei Wang and Zhelong Li and Xiuqi Yang and Junjie Yan},
  title     = {Towards Unified INT8 Training for Convolutional Neural Network},
  booktitle = {IEEE CVPR},
  year      = {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

IEEE CVPR, 2020

@inproceedings{Qin:cvpr20,
  author    = {Haotong Qin and Ruihao Gong and Xianglong Liu and Mingzhu Shen and Ziran Wei and Fengwei Yu and Jingkuan Song},
  title     = {Forward and Backward Information Retention for Accurate Binary Neural Networks},
  booktitle = {IEEE CVPR},
  year      = {2020},
  }

Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration

Yuqing Ma, Wei Liu, Shihao Bai, Qingyu Zhang, Aishan Liu, Weimin Chen, Xianglong Liu*

IJCAI, 2020

@inproceedings{Ma:ijcai20-ipn,
  author    = {Yuqing Ma and Wei Liu and Shihao Bai and Qingyu Zhang and Aishan Liu and Weimin Chen and Xianglong Liu},
  title     = {Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration},
  booktitle = {IJCAI},
  year      = {2020},
  }

Transductive Relation-Propagation Network for Few-shot Learning

Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu*

IJCAI, 2020

@inproceedings{Ma:ijcai20-trpn,
  author    = {Yuqing Ma and Shihao Bai and Shan An and Wei Liu and Aishan Liu and Xiantong Zhen and Xianglong Liu},
  title     = {Transductive Relation-Propagation Network for Few-shot Learning},
  booktitle = {IJCAI},
  year      = {2020},
  }

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

IEEE ICCV, 2019

@inproceedings{Gong:iccv19,
  author    = {Ruihao Gong and Xianglong Liu and  Shenghu Jiang and Tianxiang Li and Peng Hu and Jiazhen Lin and Fengwei Yu and Junjie Yan},
  title     = {Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks},
  booktitle = {IEEE ICCV},
  year      = {2019},
  }

Perceptual-Sensitive GAN for Generating Adversarial Patches

Aishan Liu, Xianglong Liu*, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, Dacheng Tao

AAAI, 2019

@inproceedings{Liu:aaai19,
  author    = {Aishan Liu and Xianglong Liu and Jiaxin Fan and Yuqing Ma and Anlan Zhang and Huiyuan Xie and Dacheng Tao},
  title     = {Perceptual-Sensitive GAN for Generating Adversarial Patches},
  booktitle = {AAAI},
  year      = {2019},
  }

Progressive Generative Hashing for Image Retrieval

Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu*

IJCAI, 2018

@inproceedings{Ma:ijcai18,
  author    = {Yuqing Ma and Yue He and Fan Ding and Sheng Hu and Jun Li and Xianglong Liu},
  title     = {Progressive Generative Hashing for Image Retrieval},
  booktitle = {IJCAI},
  year      = {2018},
  }

Complementary Binary Quantization for Joint Multiple Indexing

Qiang Fu, Xu Han, Xianglong Liu*, Jingkuan Song, Cheng Deng

IJCAI, 2018

@inproceedings{Fu:ijcai18,
  author    = {Qiang Fu and Xu Han and Xianglong Liu and Jingkuan Song and Cheng Deng},
  title     = {Complementary Binary Quantization for Joint Multiple Indexing},
  booktitle = {IJCAI},
  year      = {2018},
  }

Centered Weight Normalization in Accelerating Training of Deep Neural Networks

Lei Huang, Xianglong Liu*, Yang Liu, Bo Lang, Dacheng Tao

IEEE ICCV, 2017

@inproceedings{Huang:iccv17,
  author    = {Lei Huang and Xianglong Liu and Yang Liu and Bo Lang and Dacheng Tao},
  title     = {Centered Weight Normalization in Accelerating Training of Deep Neural Networks},
  booktitle = {IEEE International Conference on Computer Vision},
  year      = {2017},
  }

Boosting Complementary Hash Tables for Fast Nearest Neighbor Search

Xianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li

AAAI, 2017

@inproceedings{Liu:aaai17,
  author    = {Xianglong Liu and Cheng Deng and Yadong Mu and Zhujin Li},
  title     = {Boosting Complementary Hash Tables for Fast Nearest Neighbor Search},
  booktitle = {Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence},
  pages     = {4183--4189},
  year      = {2017},
  }

Multilinear Hyperplane Hashing

Xianglong Liu, Xinjie Fan, Cheng Deng, Zhujin Li, Hao Su, Dacheng Tao

IEEE CVPR (Young Researcher Support), 2016

@InProceedings{Liu:cvpr16,
author = {Liu, Xianglong and Fan, Xinjie and Deng, Cheng and Li, Zhujin and Su, Hao and Tao, Dacheng},
title = {Multilinear Hyperplane Hashing},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition},
year = {2016},
pages     = {5119--5127},
}

Multi-View Complementary Hash Tables for Nearest Neighbor Search

Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, Bo Lang

IEEE ICCV, 2015

@inproceedings{Liu:iccv15,
  author    = {Xianglong Liu and Lei Huang and Cheng Deng and Jiwen Lu and Bo Lang},
  title     = {Multi-View Complementary Hash Tables for Nearest Neighbor Search},
  booktitle = {IEEE International Conference on Computer Vision},
  pages     = {1107--1115},
  year      = {2015},
}

Collaborative Hashing

Xianglong Liu, Junfeng He, Cheng Deng, Bo Lang

IEEE CVPR (Young Researcher Support), 2014

@inproceedings{Liu:2014:cvpr,
  author    = {Xianglong Liu and Junfeng He and Cheng Deng and Bo Lang},
  title     = {Collaborative Hashing},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
  pages     = {2147--2154},
  year      = {2014},
}

Hash Bit Selection: a Unified Solution for Selection Problems in Hashing

Xianglong Liu, Junfeng He, Bo Lang, Shih-Fu Chang

IEEE CVPR, 2013.

Slides (in chinese)

@inproceedings{Liu:cvpr13,
  author    = {Xianglong Liu and Junfeng He and Bo Lang and Shih{-}Fu Chang},
  title     = {Hash Bit Selection: A Unified Solution for Selection Problems in Hashing},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
  pages     = {1570--1577},
  year      = {2013},
}

Journal: Hash Bit Selection for Nearest Neighbor Search. IEEE TIP, 2017. bibtex