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ORCIDXianglong Liu 0001
Person information
- affiliation: Beihang University, State Key Laboratory of Software Development Environment, Beijing, China
Other persons with the same name
- Xianglong Liu 0002 — Zhengzhou University of Light Industry, School of Electrical and Information Engineering, Zhengzhou, China
- Xianglong Liu 0003 — Wuhan University, Transportation Research Center, Wuhan, China (and 1 more)
- Xianglong Liu 0004
![[0000-0002-4907-5279]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-4907-5279")
— Harbin Institute of Technology, Harbin, China - Xianglong Liu 0005 — Chinese Academy of Sciences, Institute of Software, Beijing, China
- Xianglong Liu 0006 — China Academy of Transportation Sciences, Beijing, China
- Xianglong Liu 0007 — Institute of Automation, Chinese Academy of Sciences, China
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2020 – today
- 2024
[j66]Aishan Liu, Shiyu Tang, Xinyun Chen, Lei Huang, Haotong Qin, Xianglong Liu, Dacheng Tao:
Towards Defending Multiple ℓ p-Norm Bounded Adversarial Perturbations via Gated Batch Normalization. Int. J. Comput. Vis. 132(6): 1881-1898 (2024)- [j65]Jiakai Wang, Xianglong Liu, Zixin Yin, Yuxuan Wang, Jun Guo, Haotong Qin, Qingtao Wu, Aishan Liu:
Generate Transferable Adversarial Physical Camouflages via Triplet Attention Suppression. Int. J. Comput. Vis. 132(11): 5084-5100 (2024) - [j64]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): 3496-3509 (2024) - [j63]Jiakai Wang, Ye Tao, Yichi Zhang, Wanting Liu, Yusheng Kong, Shaolin Tan, Rongen Yan, Xianglong Liu:
Adversarial Examples Against WiFi Fingerprint-Based Localization in the Physical World. IEEE Trans. Inf. Forensics Secur. 19: 8457-8471 (2024) - [j62]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: 2714-2729 (2024) - [j61]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: 6785-6798 (2024) - [j60]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): 10674-10686 (2024) - [c131]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 - [c130]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 - [c129]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: 8719-8730 - [c128]Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu:
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. CVPR 2024: 7362-7371 - [c127]Chengtao Lv, Hong Chen, Jinyang Guo, Jinyang Guo, Jinyang Guo, Yifu Ding, Xianglong Liu:
PTQ4SAM: Post-Training Quantization for Segment Anything. CVPR 2024: 15941-15951 - [c126]Yifu Ding, Weilun Feng, Chuyan Chen, Jinyang Guo, Xianglong Liu:
Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector. CVPR 2024: 16174-16184 - [c125]Xiaowei Zhao, Xianglong Liu, Duorui Wang, Yajun Gao, Zhide Liu:
Scene-adaptive and Region-aware Multi-modal Prompt for Open Vocabulary Object Detection. CVPR 2024: 16741-16750 - [c124]Siyang Wu, Jiakai Wang, Jiejie Zhao, Yazhe Wang, Xianglong Liu:
NAPGuard: Towards Detecting Naturalistic Adversarial Patches. CVPR 2024: 24367-24376 - [c123]Jiaheng Liu, Jianhao Li, Kaisiyuan Wang, Hongcheng Guo, Jian Yang, Junran Peng, Ke Xu, Xianglong Liu, Jinyang Guo:
LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling. CVPR 2024: 28035-28045 - [c122]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 - [c121]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 - [c120]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 - [c119]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. ICML 2024 - [c118]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. ICML 2024 - [c117]Yulun Zhang, Haotong Qin, Zixiang Zhao, Xianglong Liu, Martin Danelljan, Fisher Yu:
Flexible Residual Binarization for Image Super-Resolution. ICML 2024 - [c116]Yanni Xue, Haojie Hao, Jiakai Wang, Qiang Sheng, Renshuai Tao, Yu Liang, Pu Feng, Xianglong Liu:
Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation. IJCAI 2024: 6606-6614 - [c115]Xinwei Zhang, Aishan Liu, Tianyuan Zhang, Siyuan Liang, Xianglong Liu:
Towards Robust Physical-world Backdoor Attacks on Lane Detection. ACM Multimedia 2024: 5131-5140 - [c114]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. ACM Multimedia 2024: 5403-5412 - [c113]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 - [c112]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. ACM Multimedia 2024: 10572-10581 - [c111]Haodi Wang, Kai Dong, Zhilei Zhu, Haotong Qin, Aishan Liu, Xiaolin Fang, Jiakai Wang, Xianglong Liu:
Transferable Multimodal Attack on Vision-Language Pre-training Models. SP 2024: 1722-1740 - [i98]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 abs/2402.04291 (2024) - [i97]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 abs/2402.05445 (2024) - [i96]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 abs/2402.11960 (2024) - [i95]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) - [i94]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 abs/2404.05662 (2024) - [i93]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 abs/2404.14047 (2024) - [i92]Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu:
PTQ4SAM: Post-Training Quantization for Segment Anything. CoRR abs/2405.03144 (2024) - [i91]Xinwei Zhang, Aishan Liu, Tianyuan Zhang, Siyuan Liang, Xianglong Liu:
Towards Robust Physical-world Backdoor Attacks on Lane Detection. CoRR abs/2405.05553 (2024) - [i90]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) - [i89]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) - [i88]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) - [i87]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 abs/2405.14917 (2024) - [i86]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 abs/2406.00934 (2024) - [i85]Zonghao Ying, Aishan Liu, Tianyuan Zhang, Zhengmin Yu, Siyuan Liang, Xianglong Liu, Dacheng Tao:
Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt. CoRR abs/2406.04031 (2024) - [i84]Zonghao Ying, Aishan Liu, Xianglong Liu, Dacheng Tao:
Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks. CoRR abs/2406.06302 (2024) - [i83]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 abs/2407.00600 (2024) - [i82]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 abs/2407.11585 (2024) - [i81]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) - [i80]Aishan Liu, Yuguang Zhou, Xianglong Liu, Tianyuan Zhang, Siyuan Liang, Jiakai Wang, Yanjun Pu, Tianlin Li, Junqi Zhang, Wenbo Zhou, Qing Guo, Dacheng Tao:
Compromising Embodied Agents with Contextual Backdoor Attacks. CoRR abs/2408.02882 (2024) - [i79]Yanni Xue, Haojie Hao, Jiakai Wang, Qiang Sheng, Renshuai Tao, Yu Liang, Pu Feng, Xianglong Liu:
Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation. CoRR abs/2409.05021 (2024) - [i78]Tianyuan Zhang, Lu Wang, Jiaqi Kang, Xinwei Zhang, Siyuan Liang, Yuwei Chen, Aishan Liu, Xianglong Liu:
Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving. CoRR abs/2409.07321 (2024) - [i77]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) - [i76]Zonghao Ying, Aishan Liu, Siyuan Liang, Lei Huang, Jinyang Guo, Wenbo Zhou, Xianglong Liu, Dacheng Tao:
SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models. CoRR abs/2410.18927 (2024) - [i75]Ge Yang, Changyi He, Jinyang Guo, Jianyu Wu, Yifu Ding, Aishan Liu, Haotong Qin, Pengliang Ji, Xianglong Liu:
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment. CoRR abs/2410.21352 (2024) - 2023
- [j59]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) - [j58]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): 174706 (2023) - [j57]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) - [j56]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): 12999-13011 (2023) - [j55]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): 17785-17796 (2023) - [j54]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: 118936 (2023) - [j53]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): 11689-11706 (2023) - [j52]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: 109308 (2023) - [j51]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): 5174-5185 (2023) - [j50]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): 5226-5239 (2023) - [j49]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: 8267-8278 (2023) - [j48]Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu:
RobustMQ: benchmarking robustness of quantized models. Vis. Intell. 1(1) (2023) - [c110]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: 15161-15169 - [c109]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 - [c108]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 - [c107]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 - [c106]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: 12324-12333 - [c105]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 - [c104]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: 1-5 - [c103]Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu:
BiBench: Benchmarking and Analyzing Network Binarization. ICML 2023: 28351-28388 - [c102]Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu:
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. ISSTA 2023: 829-841 - [c101]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 - [c100]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: 4178-4189 - [c99]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 - [c98]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 - [c97]Chengtao Lv, Jinyang Guo, Jiaqi Yu, Ruiyan Zhang, Xianglong Liu:
CDMNet: Contrastive Distribution Mapped Network for Infrared Small Target Detection. UAVM 2023: 63-67 - [c96]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: 3781-3798 - [i74]Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu:
BiBench: Benchmarking and Analyzing Network Binarization. CoRR abs/2301.11233 (2023) - [i73]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 abs/2302.03322 (2023) - [i72]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 abs/2302.09491 (2023) - [i71]Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu, Xiaolin Wei, Xianglong Liu:
Towards Accurate Post-Training Quantization for Vision Transformer. CoRR abs/2303.14341 (2023) - [i70]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) - [i69]Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu:
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. CoRR abs/2305.11602 (2023) - [i68]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 abs/2305.12863 (2023) - [i67]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 abs/2305.12872 (2023) - [i66]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) - [i65]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 abs/2308.00958 (2023) - [i64]Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu:
RobustMQ: Benchmarking Robustness of Quantized Models. CoRR abs/2308.02350 (2023) - [i63]Wei Huang, Haotong Qin, Yangdong Liu, Jingzhuo Liang, Yifu Ding, Ying Li, Xianglong Liu:
OHQ: On-chip Hardware-aware Quantization. CoRR abs/2309.01945 (2023) - [i62]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 abs/2310.09833 (2023) - [i61]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) - [i60]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 abs/2311.01473 (2023) - [i59]Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu:
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. CoRR abs/2311.16503 (2023) - [i58]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 abs/2312.15172 (2023) - 2022
- [j47]Aishan Liu, Huiyuan Xie, Xianglong Liu, Zixin Yin, Shunchang Liu:
Revisiting audio visual scene-aware dialog. Neurocomputing 496: 227-237 (2022) - [j46]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: 341-351 (2022) - [j45]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: 598-611 (2022) - [j44]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): 6652-6664 (2022) - [c95]Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao:
Harnessing Perceptual Adversarial Patches for Crowd Counting. CCS 2022: 2055-2069 - [c94]Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu:
Delving into the Estimation Shift of Batch Normalization in a Network. CVPR 2022: 753-762 - [c93]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: 2446-2455 - [c92]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: 7267-7276 - [c91]Ye Liu, Yaya Cheng, Lianli Gao, Xianglong Liu, Qilong Zhang, Jingkuan Song:
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack. CVPR 2022: 15084-15093 - [c90]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: 21157-21167 - [c89]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: 536-552 - [c88]Yuyang Long, Qilong Zhang, Boheng Zeng, Lianli Gao, Xianglong Liu, Jian Zhang, Jingkuan Song:
Frequency Domain Model Augmentation for Adversarial Attack. ECCV (4) 2022: 549-566 - [c87]Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu:
BiBERT: Accurate Fully Binarized BERT. ICLR 2022 - [c86]Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu:
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. ICLR 2022 - [c85]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: 4346-4352 - [c84]Yan Wu, Xiaowei Zhao, Yuqing Ma, Duorui Wang, Xianglong Liu:
Two-branch Objectness-centric Open World Detection. HCMA@MM 2022: 35-40 - [c83]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: 2012-2020 - [c82]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 - [c81]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: 5380-5388 - [c80]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 - [i57]Xiaowei Zhao, Xianglong Liu, Yifan Shen, Yixuan Qiao, Yuqing Ma, Duorui Wang:
Revisiting Open World Object Detection. CoRR abs/2201.00471 (2022) - [i56]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 abs/2202.06483 (2022) - [i55]Junchi Yan, Xianglong Liu, Ruoyu Cheng, Yibo Lin:
Towards Machine Learning for Placement and Routing in Chip Design: a Methodological Overview. CoRR abs/2202.13564 (2022) - [i54]Ye Liu, Yaya Cheng, Lianli Gao, Xianglong Liu, Qilong Zhang, Jingkuan Song:
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack. CoRR abs/2203.05154 (2022) - [i53]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) - [i52]Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu:
BiBERT: Accurate Fully Binarized BERT. CoRR abs/2203.06390 (2022) - [i51]Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu:
Delving into the Estimation Shift of Batch Normalization in a Network. CoRR abs/2203.10778 (2022) - [i50]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 abs/2204.06213 (2022) - [i49]Yuyang Long, Qilong Zhang, Boheng Zeng, Lianli Gao, Xianglong Liu, Jian Zhang, Jingkuan Song:
Frequency Domain Model Augmentation for Adversarial Attack. CoRR abs/2207.05382 (2022) - [i48]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 abs/2208.10688 (2022) - [i47]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 abs/2209.01404 (2022) - [i46]Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu:
Improving Robust Fairness via Balance Adversarial Training. CoRR abs/2209.07534 (2022) - [i45]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) - [i44]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) - [i43]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 abs/2211.06987 (2022) - [i42]Jiakai Wang, Zhendong Chen, Zixin Yin, Qinghong Yang, Xianglong Liu:
Phonemic Adversarial Attack against Audio Recognition in Real World. CoRR abs/2211.10661 (2022) - 2021
- [j43]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): 608-617 (2021) - [j42]Tianlin Li, Aishan Liu, Xianglong Liu, Yitao Xu, Chongzhi Zhang, Xiaofei Xie:
Understanding adversarial robustness via critical attacking route. Inf. Sci. 547: 568-578 (2021) - [j41]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: 103289 (2021) - [j40]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: 108102 (2021) - [j39]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): 4770-4783 (2021) - [j38]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: 1291-1304 (2021) - [j37]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: 5769-5781 (2021) - [j36]Yi Xu, Xianglong Liu, Binshuai Wang, Renshuai Tao, Ke Xia, Xianbin Cao:
Fast Nearest Subspace Search via Random Angular Hashing. IEEE Trans. Multim. 23: 342-352 (2021) - [j35]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: 353-364 (2021) - [c79]Sheng Hu, Yuqing Ma, Xianglong Liu, Yanlu Wei, Shihao Bai:
Stratified Rule-Aware Network for Abstract Visual Reasoning. AAAI 2021: 1567-1574 - [c78]Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu:
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. CVPR 2021: 8565-8574 - [c77]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 - [c76]Boying Wang, Libo Zhang, Longyin Wen, Xianglong Liu, Yanjun Wu:
Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark. ICCV 2021: 5392-5401 - [c75]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: 10903-10912 - [c74]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 - [c73]Yongzhi Li, Yadong Mu, Nan Zhuang, Xianglong Liu:
Efficient Fine-Grained Visual-Text Search Using Adversarially-Learned Hash Codes. ICME 2021: 1-6 - [c72]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: 1-6 - [c71]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: 5686-5687 - [c70]Weimin Chen, Yuqing Ma, Xianglong Liu, Yi Yuan:
Hierarchical Generative Adversarial Networks for Single Image Super-Resolution. WACV 2021: 355-364 - [e1]Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar, Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu:
ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, Virtual Event, China, 20 October 2021. ACM 2021, ISBN 978-1-4503-8672-2 [contents] - [i41]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 abs/2101.09617 (2021) - [i40]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 abs/2103.00809 (2021) - [i39]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) - [i38]Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu:
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. CoRR abs/2103.01050 (2021) - [i37]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 abs/2103.05985 (2021) - [i36]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 abs/2106.07617 (2021) - [i35]Boying Wang, Libo Zhang, Longyin Wen, Xianglong Liu, Yanjun Wu:
Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark. CoRR abs/2108.07020 (2021) - [i34]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 abs/2108.09917 (2021) - [i33]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 abs/2109.00212 (2021) - [i32]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) - [i31]Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao:
Harnessing Perceptual Adversarial Patches for Crowd Counting. CoRR abs/2109.07986 (2021) - [i30]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) - 2020
- [j34]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: 127-135 (2020) - [j33]Jun Li, Xianglong Liu, Mingyuan Zhang, Deqing Wang:
Spatio-temporal deformable 3D ConvNets with attention for action recognition. Pattern Recognit. 98 (2020) - [j32]Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, Edwin R. Hancock:
Learning binary code for fast nearest subspace search. Pattern Recognit. 98 (2020) - [j31]Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe:
Binary neural networks: A survey. Pattern Recognit. 105: 107281 (2020) - [j30]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: 107317 (2020) - [j29]Lei Huang, Yuqing Ma, Xianglong Liu:
A general non-parametric active learning framework for classification on multiple manifolds. Pattern Recognit. Lett. 130: 250-258 (2020) - [j28]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): 3297-3300 (2020) - [j27]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: 3626-3637 (2020) - [j26]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): 2990-3001 (2020) - [j25]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): 5312-5323 (2020) - [c69]Jin Li, Xianglong Liu, Zhuofan Zong, Wanru Zhao, Mingyuan Zhang, Jingkuan Song:
Graph Attention Based Proposal 3D ConvNets for Action Detection. AAAI 2020: 4626-4633 - [c68]Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu:
Stein Variational Inference for Discrete Distributions. AISTATS 2020: 4563-4572 - [c67]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 - [c66]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 - [c65]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 - [c64]Muli Yang, Cheng Deng, Junchi Yan, Xianglong Liu, Dacheng Tao:
Learning Unseen Concepts via Hierarchical Decomposition and Composition. CVPR 2020: 10245-10253 - [c63]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: 10465-10474 - [c62]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: 122-138 - [c61]Lianli Gao, Qilong Zhang, Jingkuan Song, Xianglong Liu, Heng Tao Shen:
Patch-Wise Attack for Fooling Deep Neural Network. ECCV (28) 2020: 307-322 - [c60]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: 395-410 - [c59]Mingzhu Shen, Xianglong Liu, Ruihao Gong, Kai Han:
Balanced Binary Neural Networks with Gated Residual. ICASSP 2020: 4197-4201 - [c58]Yongfei Zhang, Cheng Peng, Jingtao Zhang, Xianglong Liu, Shiliang Pu, Changhuai Chen:
Hierarchical Deep Hashing for Fast Large Scale Image Retrieval. ICPR 2020: 3837-3844 - [c57]Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu:
Transductive Relation-Propagation Network for Few-shot Learning. IJCAI 2020: 804-810 - [c56]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: 811-817 - [c55]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: 138-146 - [i29]Bin Wen, Jie Luo, Xianglong Liu, Lei Huang:
Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction. CoRR abs/2002.00176 (2020) - [i28]Sheng Hu, Yuqing Ma, Xianglong Liu, Yanlu Wei, Shihao Bai:
Hierarchical Rule Induction Network for Abstract Visual Reasoning. CoRR abs/2002.06838 (2020) - [i27]Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu:
Stein Variational Inference for Discrete Distributions. CoRR abs/2003.00605 (2020) - [i26]Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe:
Binary Neural Networks: A Survey. CoRR abs/2004.03333 (2020) - [i25]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 abs/2004.08656 (2020) - [i24]Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao:
Adversarial Attacks for Embodied Agents. CoRR abs/2005.09161 (2020) - [i23]Aishan Liu, Jiakai Wang, Xianglong Liu, Chongzhi Zhang, Bowen Cao, Hang Yu:
Patch Attack for Automatic Check-out. CoRR abs/2005.09257 (2020) - [i22]Lianli Gao, Qilong Zhang, Jingkuan Song, Xianglong Liu, Heng Tao Shen:
Patch-wise Attack for Fooling Deep Neural Network. CoRR abs/2007.06765 (2020) - [i21]Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su:
BiPointNet: Binary Neural Network for Point Clouds. CoRR abs/2010.05501 (2020) - [i20]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 abs/2012.01654 (2020) - [i19]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 abs/2012.12510 (2020)
2010 – 2019
- 2019
- [j24]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): 1741-1754 (2019) - [c54]Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu:
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. AAAI 2019: 176-183 - [c53]Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, Dacheng Tao:
Perceptual-Sensitive GAN for Generating Adversarial Patches. AAAI 2019: 1028-1035 - [c52]Lianli Gao, Kaixuan Fan, Jingkuan Song, Xianglong Liu, Xing Xu, Heng Tao Shen:
Deliberate Attention Networks for Image Captioning. AAAI 2019: 8320-8327 - [c51]Xiangpeng Li, Jingkuan Song, Lianli Gao, Xianglong Liu, Wenbing Huang, Xiangnan He, Chuang Gan:
Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering. AAAI 2019: 8658-8665 - [c50]Kun Wei, Muli Yang, Hao Wang, Cheng Deng, Xianglong Liu:
Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition. ICCV 2019: 3740-3748 - [c49]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 - [c48]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: 646-652 - [c47]Shan An, Zhibiao Huang, Guangfu Che, Xianglong Liu, Xin Ma, Yu Chen:
Quarter-Point Codeword Expansion for Product Quantization. ICME 2019: 145-150 - [c46]Ruiqing Xu, Chao Li, Junchi Yan, Cheng Deng, Xianglong Liu:
Graph Convolutional Network Hashing for Cross-Modal Retrieval. IJCAI 2019: 982-988 - [c45]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: 3123-3129 - [c44]Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou, Edwin R. Hancock:
Latent Distribution Preserving Deep Subspace Clustering. IJCAI 2019: 4440-4446 - [c43]Shan An, Guangfu Che, Fangru Zhou, Xianglong Liu, Xin Ma, Yu Chen:
Fast and Incremental Loop Closure Detection Using Proximity Graphs. IROS 2019: 378-385 - [i18]Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu:
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. CoRR abs/1903.02149 (2019) - [i17]Cheng Deng, Zhaojia Chen, Xianglong Liu, Xinbo Gao, Dacheng Tao:
Triplet-Based Deep Hashing Network for Cross-Modal Retrieval. CoRR abs/1904.02449 (2019) - [i16]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 abs/1904.02454 (2019) - [i15]Cheng Deng, Xianglong Liu, Chao Li, Dacheng Tao:
Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification. CoRR abs/1904.05200 (2019) - [i14]Xianglong Liu, Lei Huang, Cheng Deng, Bo Lang, Dacheng Tao:
Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search. CoRR abs/1904.08623 (2019) - [i13]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) - [i12]Hang Yu, Aishan Liu, Xianglong Liu, Jichen Yang, Chongzhi Zhang:
Towards Noise-Robust Neural Networks via Progressive Adversarial Training. CoRR abs/1909.04839 (2019) - [i11]Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li:
Interpreting and Improving Adversarial Robustness with Neuron Sensitivity. CoRR abs/1909.06978 (2019) - [i10]Aishan Liu, Xianglong Liu, Chongzhi Zhang, Hang Yu, Qiang Liu, Junfeng He:
Training Robust Deep Neural Networks via Adversarial Noise Propagation. CoRR abs/1909.09034 (2019) - [i9]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 abs/1909.11378 (2019) - [i8]Mingzhu Shen, Xianglong Liu, Kai Han, Ruihao Gong, Yunhe Wang, Chang Xu:
Balanced Binary Neural Networks with Gated Residual. CoRR abs/1909.12117 (2019) - [i7]Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, Dacheng Tao, Edwin R. Hancock:
Region-wise Generative Adversarial ImageInpainting for Large Missing Areas. CoRR abs/1909.12507 (2019) - [i6]Shan An, Guangfu Che, Fangru Zhou, Xianglong Liu, Xin Ma, Yu Chen:
Fast and Incremental Loop Closure Detection Using Proximity Graphs. CoRR abs/1911.10752 (2019) - [i5]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) - 2018
- [j23]Bo Lang, Bo Wu, Yang Liu, Xianglong Liu, Boyu Zhang:
Fast graph similarity search via hashing and its application on image retrieval. Multim. Tools Appl. 77(13): 16177-16198 (2018) - [j22]Cheng Deng, Xianglong Liu, Chao Li, Dacheng Tao:
Active multi-kernel domain adaptation for hyperspectral image classification. Pattern Recognit. 77: 306-315 (2018) - [j21]Cheng Deng, Zhaojia Chen, Xianglong Liu, Xinbo Gao, Dacheng Tao:
Triplet-Based Deep Hashing Network for Cross-Modal Retrieval. IEEE Trans. Image Process. 27(8): 3893-3903 (2018) - [j20]Xuanhan Wang, Lianli Gao, Peng Wang, Xiaoshuai Sun, Xianglong Liu:
Two-Stream 3-D convNet Fusion for Action Recognition in Videos With Arbitrary Size and Length. IEEE Trans. Multim. 20(3): 634-644 (2018) - [c42]Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Yongliang Wang, Bo Li:
Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks. AAAI 2018: 3271-3278 - [c41]Jiexi Yan, Cheng Deng, Xianglong Liu:
Dictionary Learning in Optimal Metric Space. AAAI 2018: 4350-4357 - [c40]Xu Yang, Cheng Deng, Xianglong Liu, Feiping Nie:
New l2, 1-Norm Relaxation of Multi-Way Graph Cut for Clustering. AAAI 2018: 4374-4381 - [c39]Xin Miao, Xiantong Zhen, Xianglong Liu, Cheng Deng, Vassilis Athitsos, Heng Huang:
Direct Shape Regression Networks for End-to-End Face Alignment. CVPR 2018: 5040-5049 - [c38]Weimin Chen, Xianglong Liu:
Weighted Quantization and Hamming Search for Fast Image Super-Resolution. ICDM Workshops 2018: 372-378 - [c37]Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu:
Progressive Generative Hashing for Image Retrieval. IJCAI 2018: 871-877 - [c36]Jingkuan Song, Jingqiu Zhang, Lianli Gao, Xianglong Liu, Heng Tao Shen:
Dual Conditional GANs for Face Aging and Rejuvenation. IJCAI 2018: 899-905 - [c35]Qiang Fu, Xu Han, Xianglong Liu, Jingkuan Song, Cheng Deng:
Complementary Binary Quantization for Joint Multiple Indexing. IJCAI 2018: 2114-2120 - [c34]Ning Li, Chao Li, Cheng Deng, Xianglong Liu, Xinbo Gao:
Deep Joint Semantic-Embedding Hashing. IJCAI 2018: 2397-2403 - [c33]Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou:
Binary Coding by Matrix Classifier for Efficient Subspace Retrieval. ICMR 2018: 82-90 - [c32]Lianli Gao, Pengpeng Zeng, Jingkuan Song, Xianglong Liu, Heng Tao Shen:
Examine before You Answer: Multi-task Learning with Adaptive-attentions for Multiple-choice VQA. ACM Multimedia 2018: 1742-1750 - [c31]Binshuai Wang, Xianglong Liu, Ke Xia, Kotagiri Ramamohanarao, Dacheng Tao:
Random Angular Projection for Fast Nearest Subspace Search. PCM (1) 2018: 15-26 - [i4]Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, Edwin R. Hancock:
Fast Subspace Clustering Based on the Kronecker Product. CoRR abs/1803.05657 (2018) - 2017
- [j19]Xianglong Liu, Zhujin Li, Cheng Deng, Dacheng Tao:
Distributed Adaptive Binary Quantization for Fast Nearest Neighbor Search. IEEE Trans. Image Process. 26(11): 5324-5336 (2017) - [j18]Xianglong Liu, Junfeng He, Shih-Fu Chang:
Hash Bit Selection for Nearest Neighbor Search. IEEE Trans. Image Process. 26(11): 5367-5380 (2017) - [c30]Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao:
Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval. AAAI 2017: 1618-1625 - [c29]Xianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li:
Boosting Complementary Hash Tables for Fast Nearest Neighbor Search. AAAI 2017: 4183-4189 - [c28]Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao:
Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval. CVPR 2017: 2298-2307 - [c27]Lei Huang, Xianglong Liu, Yang Liu, Bo Lang, Dacheng Tao:
Centered Weight Normalization in Accelerating Training of Deep Neural Networks. ICCV 2017: 2822-2830 - [c26]Xiaopeng Zhang, Hui Zhang, Yong Chen, Xianglong Liu:
Large-Margin Supervised Hashing. ICONIP (1) 2017: 259-269 - [c25]Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang:
Multi-Class Support Vector Machine via Maximizing Multi-Class Margins. IJCAI 2017: 3154-3160 - [c24]Ke Xia, Yuqing Ma, Xianglong Liu, Yadong Mu, Li Liu:
Temporal Binary Coding for Large-Scale Video Search. ACM Multimedia 2017: 333-341 - [i3]Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao:
Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval. CoRR abs/1703.05605 (2017) - [i2]Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Bo Li:
Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks. CoRR abs/1709.06079 (2017) - [i1]Lei Huang, Xianglong Liu, Bo Lang, Bo Li:
Projection Based Weight Normalization for Deep Neural Networks. CoRR abs/1710.02338 (2017) - 2016
- [j17]Deqing Wang, Hui Zhang, Rui Liu, Xianglong Liu, Jing Wang:
Unsupervised feature selection through Gram-Schmidt orthogonalization - A word co-occurrence perspective. Neurocomputing 173: 845-854 (2016) - [j16]Fumin Shen, Yang Yang, Xiang Zhou, Xianglong Liu, Jie Shao:
Face identification with second-order pooling in single-layer networks. Neurocomputing 187: 11-18 (2016) - [j15]Yang Liu, Lei Huang, Xianglong Liu, Bo Lang:
A novel rotation adaptive object detection method based on pair Hough model. Neurocomputing 194: 246-259 (2016) - [j14]Ya Wang, Xianglong Liu, Danchen Zhang, Deqing Wang, Yuan Yang:
Bit selection via walks on graph for hash-based nearest neighbor search. Neurocomputing 213: 137-146 (2016) - [j13]Xianglong Liu, Bowen Du, Cheng Deng, Ming Liu, Bo Lang:
Structure Sensitive Hashing With Adaptive Product Quantization. IEEE Trans. Cybern. 46(10): 2252-2264 (2016) - [j12]Xianglong Liu, Cheng Deng, Bo Lang, Dacheng Tao, Xuelong Li:
Query-Adaptive Reciprocal Hash Tables for Nearest Neighbor Search. IEEE Trans. Image Process. 25(2): 907-919 (2016) - [j11]Xianglong Liu, Lei Huang, Cheng Deng, Bo Lang, Dacheng Tao:
Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search. IEEE Trans. Image Process. 25(10): 4514-4524 (2016) - [c23]Xianglong Liu, Xinjie Fan, Cheng Deng, Zhujin Li, Hao Su, Dacheng Tao:
Multilinear Hyperplane Hashing. CVPR 2016: 5119-5127 - [c22]Zhujin Li, Xianglong Liu, Junjie Wu, Hao Su:
Adaptive Binary Quantization for Fast Nearest Neighbor Search. ECAI 2016: 64-72 - [c21]Yang Liu, Lei Huang, Siqi Wang, Xianglong Liu, Bo Lang:
Efficient segmentation for Region-based Image Retrieval using Edge Integrated Minimum Spanning Tree. ICPR 2016: 1929-1934 - [c20]Qun Chen, Bo Lang, Xianglong Liu, Zepeng Gu:
DisITQ: A Distributed Iterative Quantization Hashing Learning Algorithm. ISCID (2) 2016: 118-123 - 2015
- [j10]Lei Huang, Xianglong Liu, Binqiang Ma, Bo Lang:
Online semi-supervised annotation via proxy-based local consistency propagation. Neurocomputing 149: 1573-1586 (2015) - [j9]Cheng Deng, Huiru Deng, Xianglong Liu, Yuan Yuan:
Adaptive multi-bit quantization for hashing. Neurocomputing 151: 319-326 (2015) - [j8]Cheng Deng, Xianglong Liu, Yadong Mu, Jie Li:
Large-scale multi-task image labeling with adaptive relevance discovery and feature hashing. Signal Process. 112: 137-145 (2015) - [j7]Xianglong Liu, Yadong Mu, Danchen Zhang, Bo Lang, Xuelong Li:
Large-Scale Unsupervised Hashing with Shared Structure Learning. IEEE Trans. Cybern. 45(9): 1811-1822 (2015) - [c19]Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, Bo Lang:
Multi-View Complementary Hash Tables for Nearest Neighbor Search. ICCV 2015: 1107-1115 - [c18]Boyu Zhang, Xianglong Liu, Bo Lang:
Fast Graph Similarity Search via Locality Sensitive Hashing. PCM (1) 2015: 623-633 - 2014
- [j6]Xianglong Liu, Junfeng He, Bo Lang:
Multiple feature kernel hashing for large-scale visual search. Pattern Recognit. 47(2): 748-757 (2014) - [j5]Xianglong Liu, Yadong Mu, Bo Lang, Shih-Fu Chang:
Mixed image-keyword query adaptive hashing over multilabel images. ACM Trans. Multim. Comput. Commun. Appl. 10(2): 22:1-22:21 (2014) - [c17]Xianglong Liu, Junfeng He, Cheng Deng, Bo Lang:
Collaborative Hashing. CVPR 2014: 2147-2154 - [c16]Mengyun Wang, Xianglong Liu, Lei Huang, Bo Lang, Hailiang Yu:
Ontology-based Concept Similarity Integrating Image Semantic and Visual Information. FedCSIS 2014: 289-296 - [c15]Jie Xu, Cheng Deng, Xianglong Liu, Jie Li:
Image Super-resolution Based on Sparse Representation With Joint Constraints. ICIMCS 2014: 381 - [c14]Lei Huang, Yang Liu, Xianglong Liu, Xindong Wang, Bo Lang:
Graph-based active semi-supervised learning: A new perspective for relieving multi-class annotation labor. ICME 2014: 1-6 - [c13]Tianxu Ji, Xianglong Liu, Cheng Deng, Lei Huang, Bo Lang:
Query-Adaptive Hash Code Ranking for Fast Nearest Neighbor Search. ACM Multimedia 2014: 1005-1008 - 2013
- [c12]Xianglong Liu, Junfeng He, Bo Lang:
Reciprocal Hash Tables for Nearest Neighbor Search. AAAI 2013: 626-632 - [c11]Xianglong Liu, Junfeng He, Bo Lang, Shih-Fu Chang:
Hash Bit Selection: A Unified Solution for Selection Problems in Hashing. CVPR 2013: 1570-1577 - [c10]Yang Wang, Jian Zheng, Xianglong Liu, Bo Lang:
Robust clustering for social annotated images. ICIMCS 2013: 87-92 - [c9]Lei Huang, Yang Wang, Xianglong Liu, Bo Lang:
Efficient semi-supervised annotation with Proxy-based Local Consistency Propagation. ICME 2013: 1-6 - [c8]Danchen Zhang, Xianglong Liu, Bo Lang:
Hash Bit Selection Using Markov Process for Approximate Nearest Neighbor Search. MoMM 2013: 205 - 2012
- [j4]Yadong Mu, Xiangyu Chen, Xianglong Liu, Tat-Seng Chua, Shuicheng Yan:
Multimedia semantics-aware query-adaptive hashing with bits reconfigurability. Int. J. Multim. Inf. Retr. 1(1): 59-70 (2012) - [j3]Xianglong Liu, Bo Lang, Yi Xu, Bo Cheng:
Feature grouping and local soft match for mobile visual search. Pattern Recognit. Lett. 33(3): 239-246 (2012) - [c7]Junfeng He, Jinyuan Feng, Xianglong Liu, Tao Cheng, Tai-Hsu Lin, Hyunjin Chung, Shih-Fu Chang:
Mobile product search with Bag of Hash Bits and boundary reranking. CVPR 2012: 3005-3012 - [c6]Xianglong Liu, Yadong Mu, Bo Lang, Shih-Fu Chang:
Compact hashing for mixed image-keyword query over multi-label images. ICMR 2012: 18 - [c5]Xianglong Liu, Junfeng He, Di Liu, Bo Lang:
Compact kernel hashing with multiple features. ACM Multimedia 2012: 881-884 - 2011
- [j2]Yuan Liang, Xianglong Liu, Yihua Lou, Baosong Shan:
An improved noise-robust voice activity detector based on hidden semi-Markov models. Pattern Recognit. Lett. 32(7): 1044-1053 (2011) - [c4]Junwu Luo, Xianglong Liu, Han Wang, Bo Lang:
AUDR at ImageCLEF2011: Medical Retrieval Task. CLEF (Notebook Papers/Labs/Workshop) 2011 - [c3]Xianglong Liu, Yihua Lou, Adams Wei Yu, Bo Lang:
Search by mobile image based on visual and spatial consistency. ICME 2011: 1-6 - [c2]Tianjing Xu, Adams Wei Yu, Xianglong Liu, Bo Lang:
Music identification via vocabulary tree with MFCC peaks. MIRUM 2011: 21-26 - 2010
- [j1]Wei Li, Wenqi Huang, Dongchen Jiang, Xianglong Liu:
A heuristic algorithm for cube packing with time schedule. Sci. China Inf. Sci. 53(1): 18-29 (2010) - [c1]Xianglong Liu, Yuan Liang, Yihua Lou, He Li, Baosong Shan:
Noise-Robust Voice Activity Detector Based on Hidden Semi-Markov Models. ICPR 2010: 81-84
Coauthor Index
[j66] [j65] [j62] [j61] [c121] [c115] [c114] [c113] [c111] [i91] [i86] [i85] [i84] [i83] [i80] [i78] [i76] [i75] [j52] [j50] [j49] [j48] [c110] [c108] [c106] [c102] [c101] [c100] [c96] [i73] [i72] [i69] [i68] [i67] [i66] [i65] [i64] [i62] [i60] [i58] [j47] [j45] [c95] [c93] [c90] [c87] [c83] [c82] [i52] [i50] [i48] [i46] [i44] [j42] [j41] [j38] [j37] [c78] [c71] [e1] [i41] [i40] [i38] [i32] [i31] [c62] [c60] [c57] [c56] [i24] [i23] [i20] [c53] [c45] [i12] [i11] [i10] [i7]
[j66] [j65] [j60] [c129] [c120] [c119] [c118] [c117] [c111] [i98] [i97] [i96] [i94] [i93] [i87] [i77] [i75] [j57] [j53] [j48] [c103] [c99] [c98] [i74] [i71] [i64] [i63] [c93] [c87] [c85] [c81] [i56] [i52] [i50] [i43] [j41] [j35] [c77] [c75] [c74] [c72] [i40] [i39] [i37] [i34] [i33] [i30] [j31] [c66] [i26] [i21]
[j66] [j62] [c129] [c122] [c114] [i96] [i89] [i86] [i85] [i84] [i83] [i81] [i80] [i76] [j50] [c108] [c96] [i72] [i58] [c95] [c93] [i50] [i48] [i44] [j39] [j37] [c71] [e1] [i32] [i31] [j27] [j25] [c64] [c62] [i24] [i20] [j24] [c53] [i17] [i16] [i15] [i14] [i7] [j22] [j21] [c31] [j19] [c30] [c27] [j12] [j11] [c23]
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