Xianglong Liu

ORCID

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 101

Top Venues

Publications

Simin Li, Huangxinxin Xu, Jiakai Wang, Ruixiao Xu, Aishan Liu, Fazhi He, Xianglong Liu, Dacheng Tao
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection. IEEE Trans. Image Process. 33 (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. AAAI (2024)
Zixin Yin, Jiakai Wang, Yisong Xiao, Hanqing Zhao, Tianlin Li, Wenbo Zhou, Aishan Liu, Xianglong Liu
Improving Deepfake Detection Generalization by Invariant Risk Minimization. IEEE Trans. Multim. 26 (2024)
Aishan Liu, Shiyu Tang, Xinyun Chen, Lei Huang, Haotong Qin, Xianglong Liu, Dacheng Tao
-Norm Bounded Adversarial Perturbations via Gated Batch Normalization. Int. J. Comput. Vis. 132 (6) (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)
Wei Huang, Haotong Qin, Yangdong Liu, Yawei Li, Xianglong Liu, Luca Benini, Michele Magno, Xiaojuan Qi
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models. CoRR (2024)
Haotong Qin, Xudong Ma, Xingyu Zheng, Xiaoyang Li, Yang Zhang, Shouda Liu, Jie Luo, Xianglong Liu, Michele Magno
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention. CoRR (2024)
Yisong Xiao, Aishan Liu, QianJia Cheng, Zhenfei Yin, Siyuan Liang, Jiapeng Li, Jing Shao, Xianglong Liu, Dacheng Tao
GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing. 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)
Zonghao Ying, Aishan Liu, Tianyuan Zhang, Zhengmin Yu, Siyuan Liang, Xianglong Liu, Dacheng Tao
Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt. 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)
Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu
PTQ4SAM: Post-Training Quantization for Segment Anything. CoRR (2024)
Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Zejun Ma, Jiakai Wang, Jie Luo, Xianglong Liu
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs. CoRR (2024)
Wei Huang, Xudong Ma, Haotong Qin, Xingyu Zheng, Chengtao Lv, Hong Chen, Jie Luo, Xiaojuan Qi, Xianglong Liu, Michele Magno
How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study. CoRR (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)
Xingyu Zheng, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Xianglong Liu
BinaryDM: Towards Accurate Binarization of Diffusion Model. CoRR (2024)
Shilong Tian, Hong Chen, Chengtao Lv, Yu Liu, Jinyang Guo, Xianglong Liu, Shengxi Li, Hao Yang, Tao Xie
QVD: Post-training Quantization for Video Diffusion Models. 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)
Xiaowei Zhao, Yuqing Ma, Duorui Wang, Yifan Shen, Yixuan Qiao, Xianglong Liu
Revisiting Open World Object Detection. IEEE Trans. Circuits Syst. Video Technol. 34 (5) (2024)
Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao
DB-LLM: Accurate Dual-Binarization for Efficient LLMs. ACL (Findings) (2024)
Xinwei Zhang, Aishan Liu, Tianyuan Zhang, Siyuan Liang, Xianglong Liu
Towards Robust Physical-world Backdoor Attacks on Lane Detection. CoRR (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)
Zonghao Ying, Aishan Liu, Xianglong Liu, Dacheng Tao
Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks. CoRR (2024)
Simin Li, Jun Guo, Jingqiao Xiu, Ruixiao Xu, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. ICLR (2024)
Tianyuan Zhang, Lu Wang, Hainan Li, Yisong Xiao, Siyuan Liang, Aishan Liu, Xianglong Liu, Dacheng Tao
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions. CoRR (2024)
Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao
DB-LLM: Accurate Dual-Binarization for Efficient LLMs. CoRR (2024)
Zhilei Li, Jun Li, Yuqing Ma, Rui Wang, Zhi-Ping Shi, Yifu Ding, Xianglong Liu
Spatio-Temporal Adaptive Network With Bidirectional Temporal Difference for Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 33 (9) (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. MLSys (2023)
Yongkang Zhang, Jun Li, Na Jiang, Guoming Wu, Han Zhang, Zhi-Ping Shi, Zhaoxun Liu, Zizhang Wu, Xianglong Liu
Temporal Transformer Networks With Self-Supervision for Action Recognition. IEEE Internet Things J. 10 (14) (2023)
Haotong Qin, Yulun Zhang, Yifu Ding, Yifan Liu, Xianglong Liu, Martin Danelljan, Fisher Yu
QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution. NeurIPS (2023)
Jun Guo, Xingyu Zheng, Aishan Liu, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. ACM Multimedia (2023)
Simin Li, Shuing Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu
Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks. CoRR (2023)
Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. ISSTA (2023)
Xiaowei Zhao, Xianglong Liu, Yuqing Ma, Shihao Bai, Yifan Shen, Zeyu Hao, Aishan Liu
Temporal Speciation Network for Few-Shot Object Detection. IEEE Trans. Multim. 25 (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)
Shan An, Jianye Chen, Zhaoqi Zhu, Fangru Zhou, Yuxing Yang, Yuqing Ma, Xianglong Liu, Haogang Zhu
ARCosmetics: a real-time augmented reality cosmetics try-on system. Frontiers Comput. Sci. 17 (4) (2023)
Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. USENIX Security Symposium (2023)
Haotong Qin, Lei Ke, Xudong Ma, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Xianglong Liu, Fisher Yu
BiMatting: Efficient Video Matting via Binarization. NeurIPS (2023)
Simin Li, Shuning Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu
Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks. CVPR (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)
Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu
Improving Robust Fariness via Balance Adversarial Training. AAAI (2023)
Chengtao Lv, Jinyang Guo, Jiaqi Yu, Ruiyan Zhang, Xianglong Liu
CDMNet: Contrastive Distribution Mapped Network for Infrared Small Target Detection. UAVM (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)
Haotong Qin, Yifu Ding, Xiangguo Zhang, Jiakai Wang, Xianglong Liu, Jiwen Lu
Diverse Sample Generation: Pushing the Limit of Generative Data-Free Quantization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu
BiBench: Benchmarking and Analyzing Network Binarization. ICML (2023)
Wei Huang, Haotong Qin, Yangdong Liu, Jingzhuo Liang, Yifu Ding, Ying Li, Xianglong Liu
OHQ: On-chip Hardware-aware Quantization. CoRR (2023)
Simin Li, Jun Guo, Jingqiao Xiu, Xini Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. CoRR (2023)
Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu, Xiaolin Wei, Xianglong Liu
Towards Accurate Post-Training Quantization for Vision Transformer. CoRR (2023)
Jiakai Wang, Donghua Wang, Jin Hu, Siyang Wu, Tingsong Jiang, Wen Yao, Aishan Liu, Xianglong Liu
Adversarial Examples in the Physical World: A Survey. CoRR (2023)
Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. CoRR (2023)
Aishan Liu, Xinwei Zhang, Yisong Xiao, Yuguang Zhou, Siyuan Liang, Jiakai Wang, Xianglong Liu, Xiaochun Cao, Dacheng Tao
Pre-trained Trojan Attacks for Visual Recognition. CoRR (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)
Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu
BiBench: Benchmarking and Analyzing Network Binarization. CoRR (2023)
Xianglong Liu, Shihao Bai, Shan An, Shuo Wang, Wei Liu, Xiaowei Zhao, Yuqing Ma
A meaningful learning method for zero-shot semantic segmentation. Sci. China Inf. Sci. 66 (11) (2023)
Simin Li, Jun Guo, Jingqiao Xiu, Pu Feng, Xin Yu, Jiakai Wang, Aishan Liu, Wenjun Wu, Xianglong Liu
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence. CoRR (2023)
Simin Li, Ruixiao Xu, Jun Guo, Pu Feng, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu, Weifeng Lv
MIR2: Towards Provably Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization. CoRR (2023)
Jun Guo, Aishan Liu, Xingyu Zheng, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. 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)
Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu
RobustMQ: benchmarking robustness of quantized models. Vis. Intell. 1 (1) (2023)
Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu
RobustMQ: Benchmarking Robustness of Quantized Models. CoRR (2023)
Guoming Wu, Yangfan Xu, Jun Li, Zhi-Ping Shi, Xianglong Liu
Imperceptible Adversarial Attack With Multigranular Spatiotemporal Attention for Video Action Recognition. IEEE Internet Things J. 10 (20) (2023)
Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. CoRR (2023)
Jun Guo, Wei Bao, Jiakai Wang, Yuqing Ma, Xinghai Gao, Gang Xiao, Aishan Liu, Jian Dong, Xianglong Liu, Wenjun Wu
A comprehensive evaluation framework for deep model robustness. Pattern Recognit. 137 (2023)
Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, Dacheng Tao, Edwin R. Hancock
Regionwise Generative Adversarial Image Inpainting for Large Missing Areas. IEEE Trans. Cybern. 53 (8) (2023)
Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu
BiBERT: Accurate Fully Binarized BERT. 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. CoRR (2022)
Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu
Improving Robust Fairness via Balance Adversarial Training. CoRR (2022)
Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao
Defensive Patches for Robust Recognition in the Physical World. CVPR (2022)
Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu, Xiaolin Wei, Xianglong Liu
Towards Accurate Post-Training Quantization for Vision Transformer. ACM Multimedia (2022)
Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu
Delving into the Estimation Shift of Batch Normalization in a Network. 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)
Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao
Harnessing Perceptual Adversarial Patches for Crowd Counting. CCS (2022)
Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang, Daisheng Jin, Qiang Zhou, Zhongang Cai, Haiyu Zhao, Xianglong Liu, Ziwei Liu
Delving Deep into the Generalization of Vision Transformers under Distribution Shifts. CVPR (2022)
Shiyu Tang, Siyuan Liang, Ruihao Gong, Aishan Liu, Xianglong Liu, Dacheng Tao
Exploring the Relationship between Architecture and Adversarially Robust Generalization. CoRR (2022)
Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang, Yufeng Wang, Jing Shao, Chunlei Liu, Xianglong Liu
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies. ECCV (11) (2022)
Ye Liu, Yaya Cheng, Lianli Gao, Xianglong Liu, Qilong Zhang, Jingkuan Song
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack. CoRR (2022)
Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu
Delving into the Estimation Shift of Batch Normalization in a Network. CVPR (2022)
Simin Li, Huangxinxin Xu, Jiakai Wang, Aishan Liu, Fazhi He, Xianglong Liu, Dacheng Tao
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection. CoRR (2022)
Yuqing Ma, Shihao Bai, Wei Liu, Shuo Wang, Yue Yu, Xiao Bai, Xianglong Liu, Meng Wang
Transductive Relation-Propagation With Decoupling Training for Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang, Yufeng Wang, Jing Shao, Chunlei Liu, Xianglong Liu
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies. CoRR (2022)
Renshuai Tao, Hainan Li, Tianbo Wang, Yanlu Wei, Yifu Ding, Bowei Jin, Hongping Zhi, Xianglong Liu, Aishan Liu
Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network. CVPR (2022)
Ye Liu, Yaya Cheng, Lianli Gao, Xianglong Liu, Qilong Zhang, Jingkuan Song
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack. CVPR (2022)
Renshuai Tao, Tianbo Wang, Ziyang Wu, Cong Liu, Aishan Liu, Xianglong Liu
Few-shot X-ray Prohibited Item Detection: A Benchmark and Weak-feature Enhancement Network. ACM Multimedia (2022)
Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao
Defensive Patches for Robust Recognition in the Physical World. CoRR (2022)
Aishan Liu, Huiyuan Xie, Xianglong Liu, Zixin Yin, Shunchang Liu
Revisiting audio visual scene-aware dialog. Neurocomputing 496 (2022)
Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu
BiBERT: Accurate Fully Binarized BERT. ICLR (2022)
Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. ICLR (2022)
Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Zejun Ma, Jiakai Wang, Jie Luo, Xianglong Liu
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance. CoRR (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. IJCAI (2022)
Yuyang Long, Qilong Zhang, Boheng Zeng, Lianli Gao, Xianglong Liu, Jian Zhang, Jingkuan Song
Frequency Domain Model Augmentation for Adversarial Attack. ECCV (4) (2022)
Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. CoRR (2022)
Yuyang Long, Qilong Zhang, Boheng Zeng, Lianli Gao, Xianglong Liu, Jian Zhang, Jingkuan Song
Frequency Domain Model Augmentation for Adversarial Attack. CoRR (2022)
Yan Wu, Xiaowei Zhao, Yuqing Ma, Duorui Wang, Xianglong Liu
Two-branch Objectness-centric Open World Detection. HCMA@MM (2022)
Jiakai Wang, Zhendong Chen, Zixin Yin, Qinghong Yang, Xianglong Liu
Phonemic Adversarial Attack against Audio Recognition in Real World. CoRR (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)
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. ICCV (2021)

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

Publication Activity (10 Years)

Top Topics

Top Venues

Xianglong Liu