Xianglong Liu

ORCID

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 150

Top Venues

Publications

Zhixiang Fang, Xiaofan Wang, Ying Zhuang, Xianglong Liu
Estimating optimal substitution scale of urban gasoline taxis by electric taxis in the era of green energy: a case study of Zhengzhou City. Geo spatial Inf. Sci. 26 (3) (2023)
Ying Li, Jingzhuo Liang, Gui Shi Jie, Yangdong Liu, Wei Huang, Yue Yan, Xianglong Liu
An innovative experimental teaching method of hardware-software co-design-Taking a hardware accelerator of neural network using FPGA. FIE (2023)
Lei Yu, Junyi Lu, Xianglong Liu, Li Yang, Fengjun Zhang, Jiajia Ma
PSCVFinder: A Prompt-Tuning Based Framework for Smart Contract Vulnerability Detection. ISSRE (2023)
Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Yao Cheng, Yue Yu, Tieming Chen, Xianglong Liu
Excitement surfeited turns to errors: Deep learning testing framework based on excitable neurons. Inf. Sci. 637 (2023)
Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. CoRR (2023)
Jiakai Wang, Aishan Liu, Xiao Bai, Xianglong Liu
Universal Adversarial Patch Attack for Automatic Checkout Using Perceptual and Attentional Bias. IEEE Trans. Image Process. 31 (2022)
Xiaowei Zhao, Xianglong Liu, Yifan Shen, Yixuan Qiao, Yuqing Ma, Duorui Wang
Revisiting Open World Object Detection. CoRR (2022)
Jun Li, Duorui Wang, Xianglong Liu, Zhi-Ping Shi, Meng Wang
Two-Branch Attention Network via Efficient Semantic Coupling for One-Shot Learning. IEEE Trans. Image Process. 31 (2022)
Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu
BiFSMN: Binary Neural Network for Keyword Spotting. CoRR (2022)
Junchi Yan, Xianglong Liu, Ruoyu Cheng, Yibo Lin
Towards Machine Learning for Placement and Routing in Chip Design: a Methodological Overview. CoRR (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)
Xiao Bai, Xiang Wang, Xianglong Liu, Qiang Liu, Jingkuan Song, Nicu Sebe, Been Kim
Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments. Pattern Recognit. 120 (2021)
Yi Xu, Xianglong Liu, Binshuai Wang, Renshuai Tao, Ke Xia, Xianbin Cao
Fast Nearest Subspace Search via Random Angular Hashing. IEEE Trans. Multim. 23 (2021)
Aishan Liu, Xianglong Liu, Jun Guo, Jiakai Wang, Yuqing Ma, Ze Zhao, Xinghai Gao, Gang Xiao
A Comprehensive Evaluation Framework for Deep Model Robustness. CoRR (2021)
Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su
BiPointNet: Binary Neural Network for Point Clouds. ICLR (2021)
Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. CoRR (2021)
Weimin Chen, Yuqing Ma, Xianglong Liu, Yi Yuan
Hierarchical Generative Adversarial Networks for Single Image Super-Resolution. WACV (2021)
Hainan Li, Renshuai Tao, Jun Li, Haotong Qin, Yifu Ding, Shuo Wang, Xianglong Liu
Multi-Pretext Attention Network for Few-shot Learning with Self-supervision. CoRR (2021)
Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao
Harnessing Perceptual Adversarial Patches for Crowd Counting. CoRR (2021)
Dawei Li, Min Yang, Cheng-Jie Jin, Gang Ren, Xianglong Liu, Haode Liu
Multi-Modal Combined Route Choice Modeling in the MaaS Age Considering Generalized Path Overlapping Problem. IEEE Trans. Intell. Transp. Syst. 22 (4) (2021)
Chen Wang, Xiao Bai, Xiang Wang, Xianglong Liu, Jun Zhou, Xinyu Wu, Hongdong Li, Dacheng Tao
Self-Supervised Multiscale Adversarial Regression Network for Stereo Disparity Estimation. IEEE Trans. Cybern. 51 (10) (2021)
Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li
Interpreting and Improving Adversarial Robustness of Deep Neural Networks With Neuron Sensitivity. IEEE Trans. Image Process. 30 (2021)
Tianlin Li, Aishan Liu, Xianglong Liu, Yitao Xu, Chongzhi Zhang, Xiaofei Xie
Understanding adversarial robustness via critical attacking route. Inf. Sci. 547 (2021)
Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. CVPR (2021)
Haotong Qin, Yifu Ding, Xiangguo Zhang, Aoyu Li, Jiakai Wang, Xianglong Liu, Jiwen Lu
Diverse Sample Generation: Pushing the Limit of Data-free Quantization. CoRR (2021)
Yan Wu, Xianglong Liu, Haotong Qin, Ke Xia, Sheng Hu, Yuqing Ma, Meng Wang
Boosting Temporal Binary Coding for Large-Scale Video Search. IEEE Trans. Multim. 23 (2021)
Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin, Jiakai Wang, Yuqing Ma, Libo Zhang, Xianglong Liu
Towards Real-world X-ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection. CoRR (2021)
Sheng Hu, Yuqing Ma, Xianglong Liu, Yanlu Wei, Shihao Bai
Stratified Rule-Aware Network for Abstract Visual Reasoning. AAAI (2021)
Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang, Daisheng Jin, Qiang Zhou, Zhongang Cai, Haiyu Zhao, Shuai Yi, Xianglong Liu, Ziwei Liu
Delving Deep into the Generalization of Vision Transformers under Distribution Shifts. CoRR (2021)
Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu, Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar
ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia. ACM Multimedia (2021)
Renshuai Tao, Yanlu Wei, Hainan Li, Aishan Liu, Yifu Ding, Haotong Qin, Xianglong Liu
Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images. CoRR (2021)
Boying Wang, Libo Zhang, Longyin Wen, Xianglong Liu, Yanjun Wu
Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark. 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)
Hainan Li, Renshuai Tao, Jun Li, Haotong Qin, Yifu Ding, Shuo Wang, Xianglong Liu
Multi-Pretext Attention Network For Few-Shot Learning With Self-Supervision. ICME (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)
Huiyun Gong, Shuo Wang, Xiaowei Zhao, Yifan Yan, Yuqing Ma, Wei Liu, Xianglong Liu
Few-shot learning with relation propagation and constraint. IET Comput. Vis. 15 (8) (2021)
Yongzhi Li, Yadong Mu, Nan Zhuang, Xianglong Liu
Efficient Fine-Grained Visual-Text Search Using Adversarially-Learned Hash Codes. ICME (2021)
Aishan Liu, Xianglong Liu, Hang Yu, Chongzhi Zhang, Qiang Liu, Dacheng Tao
Training Robust Deep Neural Networks via Adversarial Noise Propagation. IEEE Trans. Image Process. 30 (2021)
Yan Wu, Jiaxin Fan, Renshuai Tao, Jiakai Wang, Haotong Qin, Aishan Liu, Xianglong Liu
Sequential alignment attention model for scene text recognition. J. Vis. Commun. Image Represent. 80 (2021)
Xi Guo, Zhicheng Wang, Qin Yang, Weifeng Lv, Xianglong Liu, Qiong Wu, Jian Huang
GAN-Based virtual-to-real image translation for urban scene semantic segmentation. Neurocomputing 394 (2020)
Mingzhu Shen, Xianglong Liu, Ruihao Gong, Kai Han
Balanced Binary Neural Networks with Gated Residual. ICASSP (2020)
Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu
Stein Variational Inference for Discrete Distributions. CoRR (2020)
Yanlu Wei, Renshuai Tao, Zhangjie Wu, Yuqing Ma, Libo Zhang, Xianglong Liu
Occluded Prohibited Items Detection: An X-ray Security Inspection Benchmark and De-occlusion Attention Module. CoRR (2020)
Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su
BiPointNet: Binary Neural Network for Point Clouds. CoRR (2020)
Lianli Gao, Qilong Zhang, Jingkuan Song, Xianglong Liu, Heng Tao Shen
Patch-wise Attack for Fooling Deep Neural Network. CoRR (2020)
Daisheng Jin, Xiao Ma, Chongzhi Zhang, Yizhuo Zhou, Jiashu Tao, Mingyuan Zhang, Haiyu Zhao, Shuai Yi, Zhoujun Li, Xianglong Liu, Hongsheng Li
Towards Overcoming False Positives in Visual Relationship Detection. CoRR (2020)
Aishan Liu, Jiakai Wang, Xianglong Liu, Chongzhi Zhang, Bowen Cao, Hang Yu
Patch Attack for Automatic Check-out. CoRR (2020)
Yongfei Zhang, Cheng Peng, Jingtao Zhang, Xianglong Liu, Shiliang Pu, Changhuai Chen
Hierarchical Deep Hashing for Fast Large Scale Image Retrieval. ICPR (2020)
Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu
Stein Variational Inference for Discrete Distributions. AISTATS (2020)
Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, Edwin R. Hancock
Learning binary code for fast nearest subspace search. Pattern Recognit. 98 (2020)
Xianglong Liu, Qiang Fu, Deqing Wang, Xiao Bai, Xinyu Wu, Dacheng Tao
Distributed Complementary Binary Quantization for Joint Hash Table Learning. IEEE Trans. Neural Networks Learn. Syst. 31 (12) (2020)
Sheng Hu, Yuqing Ma, Xianglong Liu, Yanlu Wei, Shihao Bai
Hierarchical Rule Induction Network for Abstract Visual Reasoning. CoRR (2020)
Lianli Gao, Qilong Zhang, Jingkuan Song, Xianglong Liu, Heng Tao Shen
Patch-Wise Attack for Fooling Deep Neural Network. ECCV (28) (2020)
Bin Wen, Jie Luo, Xianglong Liu, Lei Huang
Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction. CoRR (2020)
Aishan Liu, Jiakai Wang, Xianglong Liu, Bowen Cao, Chongzhi Zhang, Hang Yu
Bias-Based Universal Adversarial Patch Attack for Automatic Check-Out. ECCV (13) (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)
Yuqing Ma, Wei Liu, Shihao Bai, Qingyu Zhang, Aishan Liu, Weimin Chen, Xianglong Liu
Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration. IJCAI (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)
Lei Huang, Xianglong Liu, Jie Qin, Fan Zhu, Li Liu, Ling Shao
Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs. Pattern Recognit. 105 (2020)
Jin Li, Xianglong Liu, Zhuofan Zong, Wanru Zhao, Mingyuan Zhang, Jingkuan Song
Graph Attention Based Proposal 3D ConvNets for Action Detection. AAAI (2020)
Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu
Transductive Relation-Propagation Network for Few-shot Learning. IJCAI (2020)
Xiaoliang Qian, Xiaohao Chen, Weichao Yue, Xianglong Liu, Jungang Guo, Zhehui Li, Yinhua Li, Wei Wang
Generating and Sifting Pseudolabeled Samples for Improving the Performance of Remote Sensing Image Scene Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Aishan Liu, Shiyu Tang, Xianglong Liu, Xinyun Chen, Lei Huang, Zhuozhuo Tu, Dawn Song, Dacheng Tao
Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization. CoRR (2020)
Muli Yang, Cheng Deng, Junchi Yan, Xianglong Liu, Dacheng Tao
Learning Unseen Concepts via Hierarchical Decomposition and Composition. CVPR (2020)
De Xie, Cheng Deng, Chao Li, Xianglong Liu, Dacheng Tao
Multi-Task Consistency-Preserving Adversarial Hashing for Cross-Modal Retrieval. IEEE Trans. Image Process. 29 (2020)
Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao
Adversarial Attacks for Embodied Agents. CoRR (2020)
Jun Li, Xianglong Liu, Mingyuan Zhang, Deqing Wang
Spatio-temporal deformable 3D ConvNets with attention for action recognition. Pattern Recognit. 98 (2020)
Ruyi Ji, Longyin Wen, Libo Zhang, Dawei Du, Yanjun Wu, Chen Zhao, Xianglong Liu, Feiyue Huang
Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization. CVPR (2020)
Jun Li, Xianglong Liu, Wenxuan Zhang, Mingyuan Zhang, Jingkuan Song, Nicu Sebe
Spatio-Temporal Attention Networks for Action Recognition and Detection. IEEE Trans. Multim. 22 (11) (2020)
Meng Wang, Xianglong Liu, Xun Yang, Liang Zheng
Introduction to the Special Section on Contextual Object Analysis in Complex Scenes. IEEE Trans. Circuits Syst. Video Technol. 30 (10) (2020)
Lei Huang, Yuqing Ma, Xianglong Liu
A general non-parametric active learning framework for classification on multiple manifolds. Pattern Recognit. Lett. 130 (2020)
Yanlu Wei, Renshuai Tao, Zhangjie Wu, Yuqing Ma, Libo Zhang, Xianglong Liu
Occluded Prohibited Items Detection: An X-ray Security Inspection Benchmark and De-occlusion Attention Module. ACM Multimedia (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)
Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao
Spatiotemporal Attacks for Embodied Agents. ECCV (17) (2020)
Cheng Deng, Yumeng Xue, Xianglong Liu, Chao Li, Dacheng Tao
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model For Hyperspectral Image Classification. CoRR (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. ICCV (2019)
Shan An, Zhibiao Huang, Guangfu Che, Xianglong Liu, Xin Ma, Yu Chen
Quarter-Point Codeword Expansion for Product Quantization. ICME (2019)
Cheng Deng, Xianglong Liu, Chao Li, Dacheng Tao
Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification. CoRR (2019)
Aishan Liu, Xianglong Liu, Chongzhi Zhang, Hang Yu, Qiang Liu, Junfeng He
Training Robust Deep Neural Networks via Adversarial Noise Propagation. CoRR (2019)
Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Dailan He, Aishan Liu
Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation. IJCAI (2019)
Ruiqing Xu, Chao Li, Junchi Yan, Cheng Deng, Xianglong Liu
Graph Convolutional Network Hashing for Cross-Modal Retrieval. IJCAI (2019)
Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. AAAI (2019)
Cheng Deng, Yumeng Xue, Xianglong Liu, Chao Li, Dacheng Tao
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57 (3) (2019)
Shan An, Guangfu Che, Fangru Zhou, Xianglong Liu, Xin Ma, Yu Chen
Fast and Incremental Loop Closure Detection Using Proximity Graphs. CoRR (2019)
Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. CoRR (2019)
Lianli Gao, Kaixuan Fan, Jingkuan Song, Xianglong Liu, Xing Xu, Heng Tao Shen
Deliberate Attention Networks for Image Captioning. AAAI (2019)
Xianglong Liu, Lei Huang, Cheng Deng, Bo Lang, Dacheng Tao
Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search. CoRR (2019)
Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou, Edwin R. Hancock
Latent Distribution Preserving Deep Subspace Clustering. IJCAI (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)
Shan An, Guangfu Che, Fangru Zhou, Xianglong Liu, Xin Ma, Yu Chen
Fast and Incremental Loop Closure Detection Using Proximity Graphs. IROS (2019)
Cheng Deng, Zhaojia Chen, Xianglong Liu, Xinbo Gao, Dacheng Tao
Triplet-Based Deep Hashing Network for Cross-Modal Retrieval. CoRR (2019)
Jun Li, Xianglong Liu, Jun Xiao, Hainan Li, Shuo Wang, Liang Liu
Dynamic Spatio-Temporal Feature Learning via Graph Convolution in 3D Convolutional Networks. ICDM Workshops (2019)
Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li
Interpreting and Improving Adversarial Robustness with Neuron Sensitivity. CoRR (2019)
Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, Dacheng Tao
Perceptual-Sensitive GAN for Generating Adversarial Patches. AAAI (2019)
Mingzhu Shen, Xianglong Liu, Kai Han, Ruihao Gong, Yunhe Wang, Chang Xu
Balanced Binary Neural Networks with Gated Residual. CoRR (2019)
Ruyi Ji, Longyin Wen, Libo Zhang, Dawei Du, Yanjun Wu, Chen Zhao, Xianglong Liu, Feiyue Huang
Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization. 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)

Xianglong Liu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xianglong Liu