Xianglong Liu

According to our database, Xianglong Liu authored at least 245 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Generate Transferable Adversarial Physical Camouflages via Triplet Attention Suppression.

Jiakai Wang, Xianglong Liu, Zixin Yin, Yuxuan Wang, Jun Guo, Haotong Qin, Qingtao Wu, Aishan Liu

Int. J. Comput. Vis., November, 2024

BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance.

Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Zejun Ma, Jiakai Wang, Jie Luo, Xianglong Liu

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Towards Defending Multiple ℓ _p-Norm Bounded Adversarial Perturbations via Gated Batch Normalization.

Aishan Liu, Shiyu Tang, Xinyun Chen, Lei Huang, Haotong Qin, Xianglong Liu, Dacheng Tao

Int. J. Comput. Vis., June, 2024

Revisiting Open World Object Detection.

Xiaowei Zhao, Yuqing Ma, Duorui Wang, Yifan Shen, Yixuan Qiao, Xianglong Liu

IEEE Trans. Circuits Syst. Video Technol., May, 2024

Improving Deepfake Detection Generalization by Invariant Risk Minimization.

Zixin Yin, Jiakai Wang, Yisong Xiao, Hanqing Zhao, Tianlin Li, Wenbo Zhou, Aishan Liu, Xianglong Liu

IEEE Trans. Multim., 2024

Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection.

Simin Li, Huangxinxin Xu, Jiakai Wang, Ruixiao Xu, Aishan Liu, Fazhi He, Xianglong Liu, Dacheng Tao

IEEE Trans. Image Process., 2024

Adversarial Examples Against WiFi Fingerprint-Based Localization in the Physical World.

Jiakai Wang, Ye Tao, Yichi Zhang, Wanting Liu, Yusheng Kong, Shaolin Tan, Rongen Yan, Xianglong Liu

IEEE Trans. Inf. Forensics Secur., 2024

LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment.

Ge Yang, Changyi He, Jinyang Guo, Jianyu Wu, Yifu Ding, Aishan Liu, Haotong Qin, Pengliang Ji, Xianglong Liu

CoRR, 2024

SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models.

Zonghao Ying, Aishan Liu, Siyuan Liang, Lei Huang, Jinyang Guo, Wenbo Zhou, Xianglong Liu, Dacheng Tao

CoRR, 2024

A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms.

Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Haotong Qin, Jinyang Guo, Michele Magno, Xianglong Liu

CoRR, 2024

Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving.

Tianyuan Zhang, Lu Wang, Jiaqi Kang, Xinwei Zhang, Siyuan Liang, Yuwei Chen, Aishan Liu, Xianglong Liu

CoRR, 2024

Compromising Embodied Agents with Contextual Backdoor Attacks.

Aishan Liu, Yuguang Zhou, Xianglong Liu, Tianyuan Zhang, Siyuan Liang, Jiakai Wang, Yanjun Pu, Tianlin Li, Junqi Zhang, Wenbo Zhou, Qing Guo, Dacheng Tao

CoRR, 2024

Temporal Feature Matters: A Framework for Diffusion Model Quantization.

Yushi Huang, Ruihao Gong, Xianglong Liu, Jing Liu, Yuhang Li, Jiwen Lu, Dacheng Tao

CoRR, 2024

GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing.

Yisong Xiao, Aishan Liu, QianJia Cheng, Zhenfei Yin, Siyuan Liang, Jiapeng Li, Jing Shao, Xianglong Liu, Dacheng Tao

CoRR, 2024

Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks.

Zonghao Ying, Aishan Liu, Xianglong Liu, Dacheng Tao

CoRR, 2024

Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt.

Zonghao Ying, Aishan Liu, Tianyuan Zhang, Zhengmin Yu, Siyuan Liang, Xianglong Liu, Dacheng Tao

CoRR, 2024

LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions.

Tianyuan Zhang, Lu Wang, Hainan Li, Yisong Xiao, Siyuan Liang, Aishan Liu, Xianglong Liu, Dacheng Tao

CoRR, 2024

SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models.

Wei Huang, Haotong Qin, Yangdong Liu, Yawei Li, Xianglong Liu, Luca Benini, Michele Magno, Xiaojuan Qi

CoRR, 2024

LLM-QBench: A Benchmark Towards the Best Practice for Post-training Quantization of Large Language Models.

Ruihao Gong, Yang Yong, Shiqiao Gu, Yushi Huang, Yunchen Zhang, Xianglong Liu, Dacheng Tao

CoRR, 2024

How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study.

Wei Huang, Xudong Ma, Haotong Qin, Xingyu Zheng, Chengtao Lv, Hong Chen, Jie Luo, Xiaojuan Qi, Xianglong Liu, Michele Magno

CoRR, 2024

BinaryDM: Towards Accurate Binarization of Diffusion Model.

Xingyu Zheng, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Xianglong Liu

CoRR, 2024

2023 Low-Power Computer Vision Challenge (LPCVC) Summary.

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

CoRR, 2024

Transferable Multimodal Attack on Vision-Language Pre-training Models.

Haodi Wang, Kai Dong, Zhilei Zhu, Haotong Qin, Aishan Liu, Xiaolin Fang, Jiakai Wang, Xianglong Liu

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Towards Robust Physical-world Backdoor Attacks on Lane Detection.

Xinwei Zhang, Aishan Liu, Tianyuan Zhang, Siyuan Liang, Xianglong Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models.

Zining Wang, Jinyang Guo, Ruihao Gong, Yang Yong, Aishan Liu, Yushi Huang, Jiaheng Liu, Xianglong Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

QVD: Post-training Quantization for Video Diffusion Models.

Shilong Tian, Hong Chen, Chengtao Lv, Yu Liu, Jinyang Guo, Xianglong Liu, Shengxi Li, Hao Yang, Tao Xie

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

<i>LanEvil</i>: Benchmarking the Robustness of Lane Detection to Environmental Illusions.

Tianyuan Zhang, Lu Wang, Hainan Li, Yisong Xiao, Siyuan Liang, Aishan Liu, Xianglong Liu, Dacheng Tao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation.

Yanni Xue, Haojie Hao, Jiakai Wang, Qiang Sheng, Renshuai Tao, Yu Liang, Pu Feng, Xianglong Liu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Flexible Residual Binarization for Image Super-Resolution.

Yulun Zhang, Haotong Qin, Zixiang Zhao, Xianglong Liu, Martin Danelljan, Fisher Yu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Accurate LoRA-Finetuning Quantization of LLMs via Information Retention.

Haotong Qin, Xudong Ma, Xingyu Zheng, Xiaoyang Li, Yang Zhang, Shouda Liu, Jie Luo, Xianglong Liu, Michele Magno

Proceedings of the Forty-first International Conference on Machine Learning, 2024

BiLLM: Pushing the Limit of Post-Training Quantization for LLMs.

Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Compressing Large Language Models by Joint Sparsification and Quantization.

Jinyang Guo, Jianyu Wu, Zining Wang, Jiaheng Liu, Ge Yang, Yifu Ding, Ruihao Gong, Haotong Qin, Xianglong Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game.

Simin Li, Jun Guo, Jingqiao Xiu, Ruixiao Xu, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit.

Ruihao Gong, Yang Yong, Shiqiao Gu, Yushi Huang, Chengtao Lv, Yunchen Zhang, Dacheng Tao, Xianglong Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Scene-adaptive and Region-aware Multi-modal Prompt for Open Vocabulary Object Detection.

Xiaowei Zhao, Xianglong Liu, Duorui Wang, Yajun Gao, Zhide Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NAPGuard: Towards Detecting Naturalistic Adversarial Patches.

Siyang Wu, Jiakai Wang, Jiejie Zhao, Yazhe Wang, Xianglong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PTQ4SAM: Post-Training Quantization for Segment Anything.

Chengtao Lv, Hong Chen, Jinyang Guo, Jinyang Guo, Jinyang Guo, Yifu Ding, Xianglong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling.

Jiaheng Liu, Jianhao Li, Kaisiyuan Wang, Hongcheng Guo, Jian Yang, Junran Peng, Ke Xu, Xianglong Liu, Jinyang Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models.

Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector.

Yifu Ding, Weilun Feng, Chuyan Chen, Jinyang Guo, Xianglong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DB-LLM: Accurate Dual-Binarization for Efficient LLMs.

Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes.

Ruihao Gong, Yang Yong, Zining Wang, Jinyang Guo, Xiuying Wei, Yuqing Ma, Xianglong Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection.

Yunqian Fan, Xiuying Wei, Ruihao Gong, Yuqing Ma, Xiangguo Zhang, Qi Zhang, Xianglong Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A meaningful learning method for zero-shot semantic segmentation.

Xianglong Liu, Shihao Bai, Shan An, Shuo Wang, Wei Liu, Xiaowei Zhao, Yuqing Ma

Sci. China Inf. Sci., November, 2023

Diverse Sample Generation: Pushing the Limit of Generative Data-Free Quantization.

Haotong Qin, Yifu Ding, Xiangguo Zhang, Jiakai Wang, Xianglong Liu, Jiwen Lu

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Imperceptible Adversarial Attack With Multigranular Spatiotemporal Attention for Video Action Recognition.

Guoming Wu, Yangfan Xu, Jun Li, Zhi-Ping Shi, Xianglong Liu

IEEE Internet Things J., October, 2023

Spatio-Temporal Adaptive Network With Bidirectional Temporal Difference for Action Recognition.

Zhilei Li, Jun Li, Yuqing Ma, Rui Wang, Zhi-Ping Shi, Yifu Ding, Xianglong Liu

IEEE Trans. Circuits Syst. Video Technol., September, 2023

Excitement surfeited turns to errors: Deep learning testing framework based on excitable neurons.

Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Yao Cheng, Yue Yu, Tieming Chen, Xianglong Liu

Inf. Sci., August, 2023

ARCosmetics: a real-time augmented reality cosmetics try-on system.

Shan An, Jianye Chen, Zhaoqi Zhu, Fangru Zhou, Yuxing Yang, Yuqing Ma, Xianglong Liu, Haogang Zhu

Frontiers Comput. Sci., August, 2023

Temporal Transformer Networks With Self-Supervision for Action Recognition.

Yongkang Zhang, Jun Li, Na Jiang, Guoming Wu, Han Zhang, Zhi-Ping Shi, Zhaoxun Liu, Zizhang Wu, Xianglong Liu

IEEE Internet Things J., July, 2023

A comprehensive evaluation framework for deep model robustness.

Jun Guo, Wei Bao, Jiakai Wang, Yuqing Ma, Xinghai Gao, Gang Xiao, Aishan Liu, Jian Dong, Xianglong Liu, Wenjun Wu

Pattern Recognit., May, 2023

RobustMQ: benchmarking robustness of quantized models.

Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu

Vis. Intell., 2023

Temporal Speciation Network for Few-Shot Object Detection.

Xiaowei Zhao, Xianglong Liu, Yuqing Ma, Shihao Bai, Yifan Shen, Zeyu Hao, Aishan Liu

IEEE Trans. Multim., 2023

Regionwise Generative Adversarial Image Inpainting for Large Missing Areas.

Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, Dacheng Tao, Edwin R. Hancock

IEEE Trans. Cybern., 2023

Distribution-Sensitive Information Retention for Accurate Binary Neural Network.

Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu

Int. J. Comput. Vis., 2023

Pre-trained Trojan Attacks for Visual Recognition.

Aishan Liu, Xinwei Zhang, Yisong Xiao, Yuguang Zhou, Siyuan Liang, Jiakai Wang, Xianglong Liu, Xiaochun Cao, Dacheng Tao

CoRR, 2023

Adversarial Examples in the Physical World: A Survey.

Jiakai Wang, Donghua Wang, Jin Hu, Siyang Wu, Tingsong Jiang, Wen Yao, Aishan Liu, Xianglong Liu

CoRR, 2023

Exploring the Potential of Flexible 8-bit Format: Design and Algorithm.

Zhuoyi Zhang, Yunchen Zhang, Gonglei Shi, Yu Shen, Ruihao Gong, Xiaoxu Xia, Qi Zhang, Lewei Lu, Xianglong Liu

CoRR, 2023

MIR2: Towards Provably Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization.

Simin Li, Ruixiao Xu, Jun Guo, Pu Feng, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu, Weifeng Lv

CoRR, 2023

OHQ: On-chip Hardware-aware Quantization.

Wei Huang, Haotong Qin, Yangdong Liu, Jingzhuo Liang, Yifu Ding, Ying Li, Xianglong Liu

CoRR, 2023

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game.

Simin Li, Jun Guo, Jingqiao Xiu, Xini Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu

CoRR, 2023

Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks.

Simin Li, Shuing Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu

CoRR, 2023

Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling.

Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu

CoRR, 2023

Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence.

Simin Li, Jun Guo, Jingqiao Xiu, Pu Feng, Xin Yu, Jiakai Wang, Aishan Liu, Wenjun Wu, Xianglong Liu

CoRR, 2023

X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection.

Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao

Proceedings of the 32nd USENIX Security Symposium, 2023

CDMNet: Contrastive Distribution Mapped Network for Infrared Small Target Detection.

Chengtao Lv, Jinyang Guo, Jiaqi Yu, Ruiyan Zhang, Xianglong Liu

Proceedings of the 2023 Workshop on UAVs in Multimedia: Capturing the World from a New Perspective, 2023

QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution.

Haotong Qin, Yulun Zhang, Yifu Ding, Yifan Liu, Xianglong Liu, Martin Danelljan, Fisher Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BiMatting: Efficient Video Matting via Binarization.

Haotong Qin, Lei Ke, Xudong Ma, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Xianglong Liu, Fisher Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks.

Jun Guo, Xingyu Zheng, Aishan Liu, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency.

Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing.

Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

BiBench: Benchmarking and Analyzing Network Binarization.

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

Proceedings of the International Conference on Machine Learning, 2023

An innovative experimental teaching method of hardware-software co-design-Taking a hardware accelerator of neural network using FPGA.

Ying Li, Jingzhuo Liang, Gui Shi Jie, Yangdong Liu, Wei Huang, Yue Yan, Xianglong Liu

Proceedings of the IEEE Frontiers in Education Conference, 2023

Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling.

Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Annealing-based Label-Transfer Learning for Open World Object Detection.

Yuqing Ma, Hainan Li, Zhange Zhang, Jinyang Guo, Shanghang Zhang, Ruihao Gong, Xianglong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization.

Aishan Liu, Shiyu Tang, Siyuan Liang, Ruihao Gong, Boxi Wu, Xianglong Liu, Dacheng Tao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks.

Simin Li, Shuning Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Adaptive Contrastive Knowledge Distillation for BERT Compression.

Jinyang Guo, Jiaheng Liu, Zining Wang, Yuqing Ma, Ruihao Gong, Ke Xu, Xianglong Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Improving Robust Fariness via Balance Adversarial Training.

Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Transductive Relation-Propagation With Decoupling Training for Few-Shot Learning.

Yuqing Ma, Shihao Bai, Wei Liu, Shuo Wang, Yue Yu, Xiao Bai, Xianglong Liu, Meng Wang

IEEE Trans. Neural Networks Learn. Syst., 2022

Universal Adversarial Patch Attack for Automatic Checkout Using Perceptual and Attentional Bias.

Jiakai Wang, Aishan Liu, Xiao Bai, Xianglong Liu

IEEE Trans. Image Process., 2022

Two-Branch Attention Network via Efficient Semantic Coupling for One-Shot Learning.

Jun Li, Duorui Wang, Xianglong Liu, Zhi-Ping Shi, Meng Wang

IEEE Trans. Image Process., 2022

Revisiting audio visual scene-aware dialog.

Aishan Liu, Huiyuan Xie, Xianglong Liu, Zixin Yin, Shunchang Liu

Neurocomputing, 2022

Phonemic Adversarial Attack against Audio Recognition in Real World.

Jiakai Wang, Zhendong Chen, Zixin Yin, Qinghong Yang, Xianglong Liu

CoRR, 2022

Exploring the Relationship between Architecture and Adversarially Robust Generalization.

Shiyu Tang, Siyuan Liang, Ruihao Gong, Aishan Liu, Xianglong Liu, Dacheng Tao

CoRR, 2022

Improving Robust Fairness via Balance Adversarial Training.

Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu

CoRR, 2022

Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection.

Simin Li, Huangxinxin Xu, Jiakai Wang, Aishan Liu, Fazhi He, Xianglong Liu, Dacheng Tao

CoRR, 2022

Towards Machine Learning for Placement and Routing in Chip Design: a Methodological Overview.

Junchi Yan, Xianglong Liu, Ruoyu Cheng, Yibo Lin

CoRR, 2022

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models.

Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Two-branch Objectness-centric Open World Detection.

Yan Wu, Xiaowei Zhao, Yuqing Ma, Duorui Wang, Xianglong Liu

Proceedings of the HCMA@MM 2022: Proceedings of the 3rd International Workshop on Human-Centric Multimedia Analysis, 2022

Generating Transferable Adversarial Examples against Vision Transformers.

Yuxuan Wang, Jiakai Wang, Zixin Yin, Ruihao Gong, Jingyi Wang, Aishan Liu, Xianglong Liu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Few-shot X-ray Prohibited Item Detection: A Benchmark and Weak-feature Enhancement Network.

Renshuai Tao, Tianbo Wang, Ziyang Wu, Cong Liu, Aishan Liu, Xianglong Liu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Towards Accurate Post-Training Quantization for Vision Transformer.

Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu, Xiaolin Wei, Xianglong Liu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

BiFSMN: Binary Neural Network for Keyword Spotting.

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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

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

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

BiBERT: Accurate Fully Binarized BERT.

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies.

Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang, Yufeng Wang, Jing Shao, Chunlei Liu, Xianglong Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

Frequency Domain Model Augmentation for Adversarial Attack.

Yuyang Long, Qilong Zhang, Boheng Zeng, Lianli Gao, Xianglong Liu, Jian Zhang, Jingkuan Song

Proceedings of the Computer Vision - ECCV 2022, 2022

Delving Deep into the Generalization of Vision Transformers under Distribution Shifts.

Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang, Daisheng Jin, Qiang Zhou, Zhongang Cai, Haiyu Zhao, Xianglong Liu, Ziwei Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Defensive Patches for Robust Recognition in the Physical World.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack.

Ye Liu, Yaya Cheng, Lianli Gao, Xianglong Liu, Qilong Zhang, Jingkuan Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Delving into the Estimation Shift of Batch Normalization in a Network.

Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Harnessing Perceptual Adversarial Patches for Crowd Counting.

Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Fast Nearest Subspace Search via Random Angular Hashing.

Yi Xu, Xianglong Liu, Binshuai Wang, Renshuai Tao, Ke Xia, Xianbin Cao

IEEE Trans. Multim., 2021

Boosting Temporal Binary Coding for Large-Scale Video Search.

Yan Wu, Xianglong Liu, Haotong Qin, Ke Xia, Sheng Hu, Yuqing Ma, Meng Wang

IEEE Trans. Multim., 2021

Interpreting and Improving Adversarial Robustness of Deep Neural Networks With Neuron Sensitivity.

Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li

IEEE Trans. Image Process., 2021

Training Robust Deep Neural Networks via Adversarial Noise Propagation.

Aishan Liu, Xianglong Liu, Hang Yu, Chongzhi Zhang, Qiang Liu, Dacheng Tao

IEEE Trans. Image Process., 2021

Self-Supervised Multiscale Adversarial Regression Network for Stereo Disparity Estimation.

Chen Wang, Xiao Bai, Xiang Wang, Xianglong Liu, Jun Zhou, Xinyu Wu, Hongdong Li, Dacheng Tao

IEEE Trans. Cybern., 2021

Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments.

Xiao Bai, Xiang Wang, Xianglong Liu, Qiang Liu, Jingkuan Song, Nicu Sebe, Been Kim

Pattern Recognit., 2021

Sequential alignment attention model for scene text recognition.

Yan Wu, Jiaxin Fan, Renshuai Tao, Jiakai Wang, Haotong Qin, Aishan Liu, Xianglong Liu

J. Vis. Commun. Image Represent., 2021

Understanding adversarial robustness via critical attacking route.

Tianlin Li, Aishan Liu, Xianglong Liu, Yitao Xu, Chongzhi Zhang, Xiaofei Xie

Inf. Sci., 2021

Few-shot learning with relation propagation and constraint.

Huiyun Gong, Shuo Wang, Xiaowei Zhao, Yifan Yan, Yuqing Ma, Wei Liu, Xianglong Liu

IET Comput. Vis., 2021

RobustART: Benchmarking Robustness on Architecture Design and Training Techniques.

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

CoRR, 2021

Diverse Sample Generation: Pushing the Limit of Data-free Quantization.

Haotong Qin, Yifu Ding, Xiangguo Zhang, Aoyu Li, Jiakai Wang, Xianglong Liu, Jiwen Lu

CoRR, 2021

Delving Deep into the Generalization of Vision Transformers under Distribution Shifts.

Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang, Daisheng Jin, Qiang Zhou, Zhongang Cai, Haiyu Zhao, Shuai Yi, Xianglong Liu, Ziwei Liu

CoRR, 2021

Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images.

Renshuai Tao, Yanlu Wei, Hainan Li, Aishan Liu, Yifu Ding, Haotong Qin, Xianglong Liu

CoRR, 2021

A Comprehensive Evaluation Framework for Deep Model Robustness.

Aishan Liu, Xianglong Liu, Jun Guo, Jiakai Wang, Yuqing Ma, Ze Zhao, Xinghai Gao, Gang Xiao

CoRR, 2021

Hierarchical Generative Adversarial Networks for Single Image Super-Resolution.

Weimin Chen, Yuqing Ma, Xianglong Liu, Yi Yuan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia.

Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu, Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Multi-Pretext Attention Network For Few-Shot Learning With Self-Supervision.

Hainan Li, Renshuai Tao, Jun Li, Haotong Qin, Yifu Ding, Shuo Wang, Xianglong Liu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Efficient Fine-Grained Visual-Text Search Using Adversarially-Learned Hash Codes.

Yongzhi Li, Yadong Mu, Nan Zhuang, Xianglong Liu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

BiPointNet: Binary Neural Network for Point Clouds.

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

Proceedings of the 9th International Conference on Learning Representations, 2021

Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark.

Boying Wang, Libo Zhang, Longyin Wen, Xianglong Liu, Yanjun Wu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Towards Real-world X-ray Security Inspection: A High-Quality Benchmark And Lateral Inhibition Module For Prohibited Items Detection.

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Diversifying Sample Generation for Accurate Data-Free Quantization.

Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Stratified Rule-Aware Network for Abstract Visual Reasoning.

Sheng Hu, Yuqing Ma, Xianglong Liu, Yanlu Wei, Shihao Bai

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Distributed Complementary Binary Quantization for Joint Hash Table Learning.

Xianglong Liu, Qiang Fu, Deqing Wang, Xiao Bai, Xinyu Wu, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2020

Spatio-Temporal Attention Networks for Action Recognition and Detection.

Jun Li, Xianglong Liu, Wenxuan Zhang, Mingyuan Zhang, Jingkuan Song, Nicu Sebe

IEEE Trans. Multim., 2020

Multi-Task Consistency-Preserving Adversarial Hashing for Cross-Modal Retrieval.

De Xie, Cheng Deng, Chao Li, Xianglong Liu, Dacheng Tao

IEEE Trans. Image Process., 2020

Introduction to the Special Section on Contextual Object Analysis in Complex Scenes.

Meng Wang, Xianglong Liu, Xun Yang, Liang Zheng

IEEE Trans. Circuits Syst. Video Technol., 2020

A general non-parametric active learning framework for classification on multiple manifolds.

Lei Huang, Yuqing Ma, Xianglong Liu

Pattern Recognit. Lett., 2020

Learning binary code for fast nearest subspace search.

Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, Edwin R. Hancock

Pattern Recognit., 2020

Binary neural networks: A survey.

Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe

Pattern Recognit., 2020

Spatio-temporal deformable 3D ConvNets with attention for action recognition.

Jun Li, Xianglong Liu, Mingyuan Zhang, Deqing Wang

Pattern Recognit., 2020

Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs.

Lei Huang, Xianglong Liu, Jie Qin, Fan Zhu, Li Liu, Ling Shao

Pattern Recognit., 2020

GAN-Based virtual-to-real image translation for urban scene semantic segmentation.

Xi Guo, Zhicheng Wang, Qin Yang, Weifeng Lv, Xianglong Liu, Qiong Wu, Jian Huang

Neurocomputing, 2020

Towards Overcoming False Positives in Visual Relationship Detection.

Daisheng Jin, Xiao Ma, Chongzhi Zhang, Yizhuo Zhou, Jiashu Tao, Mingyuan Zhang, Haiyu Zhao, Shuai Yi, Zhoujun Li, Xianglong Liu, Hongsheng Li

CoRR, 2020

Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization.

Aishan Liu, Shiyu Tang, Xianglong Liu, Xinyun Chen, Lei Huang, Zhuozhuo Tu, Dawn Song, Dacheng Tao

CoRR, 2020

Patch Attack for Automatic Check-out.

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

CoRR, 2020

Adversarial Attacks for Embodied Agents.

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

CoRR, 2020

Hierarchical Rule Induction Network for Abstract Visual Reasoning.

Sheng Hu, Yuqing Ma, Xianglong Liu, Yanlu Wei, Shihao Bai

CoRR, 2020

Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction.

Bin Wen, Jie Luo, Xianglong Liu, Lei Huang

CoRR, 2020

Occluded Prohibited Items Detection: An X-ray Security Inspection Benchmark and De-occlusion Attention Module.

Yanlu Wei, Renshuai Tao, Zhangjie Wu, Yuqing Ma, Libo Zhang, Xianglong Liu

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

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

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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Transductive Relation-Propagation Network for Few-shot Learning.

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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Hierarchical Deep Hashing for Fast Large Scale Image Retrieval.

Yongfei Zhang, Cheng Peng, Jingtao Zhang, Xianglong Liu, Shiliang Pu, Changhuai Chen

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Balanced Binary Neural Networks with Gated Residual.

Mingzhu Shen, Xianglong Liu, Ruihao Gong, Kai Han

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Bias-Based Universal Adversarial Patch Attack for Automatic Check-Out.

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

Proceedings of the Computer Vision - ECCV 2020, 2020

Spatiotemporal Attacks for Embodied Agents.

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

Proceedings of the Computer Vision - ECCV 2020, 2020

Patch-Wise Attack for Fooling Deep Neural Network.

Lianli Gao, Qilong Zhang, Jingkuan Song, Xianglong Liu, Heng Tao Shen

Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Unified INT8 Training for Convolutional Neural Network.

Feng Zhu, Ruihao Gong, Fengwei Yu, Xianglong Liu, Yanfei Wang, Zhelong Li, Xiuqi Yang, Junjie Yan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Unseen Concepts via Hierarchical Decomposition and Composition.

Muli Yang, Cheng Deng, Junchi Yan, Xianglong Liu, Dacheng Tao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition.

Yudong Wu, Yichao Wu, Ruihao Gong, Yuanhao Lv, Ken Chen, Ding Liang, Xiaolin Hu, Xianglong Liu, Junjie Yan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Forward and Backward Information Retention for Accurate Binary Neural Networks.

Haotong Qin, Ruihao Gong, Xianglong Liu, Mingzhu Shen, Ziran Wei, Fengwei Yu, Jingkuan Song

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization.

Ruyi Ji, Longyin Wen, Libo Zhang, Dawei Du, Yanjun Wu, Chen Zhao, Xianglong Liu, Feiyue Huang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Stein Variational Inference for Discrete Distributions.

Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Graph Attention Based Proposal 3D ConvNets for Action Detection.

Jin Li, Xianglong Liu, Zhuofan Zong, Wanru Zhao, Mingyuan Zhang, Jingkuan Song

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification.

Cheng Deng, Yumeng Xue, Xianglong Liu, Chao Li, Dacheng Tao

IEEE Trans. Geosci. Remote. Sens., 2019

Region-wise Generative Adversarial ImageInpainting for Large Missing Areas.

Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, Dacheng Tao, Edwin R. Hancock

CoRR, 2019

Balanced Binary Neural Networks with Gated Residual.

Mingzhu Shen, Xianglong Liu, Kai Han, Ruihao Gong, Yunhe Wang, Chang Xu

CoRR, 2019

Training Robust Deep Neural Networks via Adversarial Noise Propagation.

Aishan Liu, Xianglong Liu, Chongzhi Zhang, Hang Yu, Qiang Liu, Junfeng He

CoRR, 2019

Interpreting and Improving Adversarial Robustness with Neuron Sensitivity.

Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li

CoRR, 2019

Towards Noise-Robust Neural Networks via Progressive Adversarial Training.

Hang Yu, Aishan Liu, Xianglong Liu, Jichen Yang, Chongzhi Zhang

CoRR, 2019

Fast and Incremental Loop Closure Detection Using Proximity Graphs.

Shan An, Guangfu Che, Fangru Zhou, Xianglong Liu, Xin Ma, Yu Chen

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Latent Distribution Preserving Deep Subspace Clustering.

Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou, Edwin R. Hancock

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Graph Convolutional Network Hashing for Cross-Modal Retrieval.

Ruiqing Xu, Chao Li, Junchi Yan, Cheng Deng, Xianglong Liu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation.

Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Dailan He, Aishan Liu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Quarter-Point Codeword Expansion for Product Quantization.

Shan An, Zhibiao Huang, Guangfu Che, Xianglong Liu, Xin Ma, Yu Chen

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Dynamic Spatio-Temporal Feature Learning via Graph Convolution in 3D Convolutional Networks.

Jun Li, Xianglong Liu, Jun Xiao, Hainan Li, Shuo Wang, Liang Liu

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition.

Kun Wei, Muli Yang, Hao Wang, Cheng Deng, Xianglong Liu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks.

Ruihao Gong, Xianglong Liu, Shenghu Jiang, Tianxiang Li, Peng Hu, Jiazhen Lin, Fengwei Yu, Junjie Yan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Perceptual-Sensitive GAN for Generating Adversarial Patches.

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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering.

Xiangpeng Li, Jingkuan Song, Lianli Gao, Xianglong Liu, Wenbing Huang, Xiangnan He, Chuang Gan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval.

Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Deliberate Attention Networks for Image Captioning.

Lianli Gao, Kaixuan Fan, Jingkuan Song, Xianglong Liu, Xing Xu, Heng Tao Shen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Two-Stream 3-D convNet Fusion for Action Recognition in Videos With Arbitrary Size and Length.

Xuanhan Wang, Lianli Gao, Peng Wang, Xiaoshuai Sun, Xianglong Liu

IEEE Trans. Multim., 2018

Triplet-Based Deep Hashing Network for Cross-Modal Retrieval.

Cheng Deng, Zhaojia Chen, Xianglong Liu, Xinbo Gao, Dacheng Tao

IEEE Trans. Image Process., 2018

Active multi-kernel domain adaptation for hyperspectral image classification.

Cheng Deng, Xianglong Liu, Chao Li, Dacheng Tao

Pattern Recognit., 2018

Fast graph similarity search via hashing and its application on image retrieval.

Bo Lang, Bo Wu, Yang Liu, Xianglong Liu, Boyu Zhang

Multim. Tools Appl., 2018

Fast Subspace Clustering Based on the Kronecker Product.

Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, Edwin R. Hancock

CoRR, 2018

Random Angular Projection for Fast Nearest Subspace Search.

Binshuai Wang, Xianglong Liu, Ke Xia, Kotagiri Ramamohanarao, Dacheng Tao

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Examine before You Answer: Multi-task Learning with Adaptive-attentions for Multiple-choice VQA.

Lianli Gao, Pengpeng Zeng, Jingkuan Song, Xianglong Liu, Heng Tao Shen

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Binary Coding by Matrix Classifier for Efficient Subspace Retrieval.

Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Dual Conditional GANs for Face Aging and Rejuvenation.

Jingkuan Song, Jingqiu Zhang, Lianli Gao, Xianglong Liu, Heng Tao Shen

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Progressive Generative Hashing for Image Retrieval.

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

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep Joint Semantic-Embedding Hashing.

Ning Li, Chao Li, Cheng Deng, Xianglong Liu, Xinbo Gao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Complementary Binary Quantization for Joint Multiple Indexing.

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

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Weighted Quantization and Hamming Search for Fast Image Super-Resolution.

Weimin Chen, Xianglong Liu

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Direct Shape Regression Networks for End-to-End Face Alignment.

Xin Miao, Xiantong Zhen, Xianglong Liu, Cheng Deng, Vassilis Athitsos, Heng Huang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

New l_{2, 1}-Norm Relaxation of Multi-Way Graph Cut for Clustering.

Xu Yang, Cheng Deng, Xianglong Liu, Feiping Nie

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Dictionary Learning in Optimal Metric Space.

Jiexi Yan, Cheng Deng, Xianglong Liu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks.

Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Yongliang Wang, Bo Li

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Distributed Adaptive Binary Quantization for Fast Nearest Neighbor Search.

Xianglong Liu, Zhujin Li, Cheng Deng, Dacheng Tao

IEEE Trans. Image Process., 2017

Hash Bit Selection for Nearest Neighbor Search.

Xianglong Liu, Junfeng He, Shih-Fu Chang

IEEE Trans. Image Process., 2017

Projection Based Weight Normalization for Deep Neural Networks.

Lei Huang, Xianglong Liu, Bo Lang, Bo Li

CoRR, 2017

Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks.

Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Bo Li

CoRR, 2017

Temporal Binary Coding for Large-Scale Video Search.

Ke Xia, Yuqing Ma, Xianglong Liu, Yadong Mu, Li Liu

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Multi-Class Support Vector Machine via Maximizing Multi-Class Margins.

Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Large-Margin Supervised Hashing.

Xiaopeng Zhang, Hui Zhang, Yong Chen, Xianglong Liu

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Centered Weight Normalization in Accelerating Training of Deep Neural Networks.

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

Proceedings of the IEEE International Conference on Computer Vision, 2017

Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval.

Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval.

Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Boosting Complementary Hash Tables for Fast Nearest Neighbor Search.

Xianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search.

Xianglong Liu, Lei Huang, Cheng Deng, Bo Lang, Dacheng Tao

IEEE Trans. Image Process., 2016

Query-Adaptive Reciprocal Hash Tables for Nearest Neighbor Search.

Xianglong Liu, Cheng Deng, Bo Lang, Dacheng Tao, Xuelong Li

IEEE Trans. Image Process., 2016

Structure Sensitive Hashing With Adaptive Product Quantization.

Xianglong Liu, Bowen Du, Cheng Deng, Ming Liu, Bo Lang

IEEE Trans. Cybern., 2016

Unsupervised feature selection through Gram-Schmidt orthogonalization - A word co-occurrence perspective.

Deqing Wang, Hui Zhang, Rui Liu, Xianglong Liu, Jing Wang

Neurocomputing, 2016

Bit selection via walks on graph for hash-based nearest neighbor search.

Ya Wang, Xianglong Liu, Danchen Zhang, Deqing Wang, Yuan Yang

Neurocomputing, 2016

Face identification with second-order pooling in single-layer networks.

Fumin Shen, Yang Yang, Xiang Zhou, Xianglong Liu, Jie Shao

Neurocomputing, 2016

A novel rotation adaptive object detection method based on pair Hough model.

Yang Liu, Lei Huang, Xianglong Liu, Bo Lang

Neurocomputing, 2016

DisITQ: A Distributed Iterative Quantization Hashing Learning Algorithm.

Qun Chen, Bo Lang, Xianglong Liu, Zepeng Gu

Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016

Efficient segmentation for Region-based Image Retrieval using Edge Integrated Minimum Spanning Tree.

Yang Liu, Lei Huang, Siqi Wang, Xianglong Liu, Bo Lang

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Adaptive Binary Quantization for Fast Nearest Neighbor Search.

Zhujin Li, Xianglong Liu, Junjie Wu, Hao Su

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Multilinear Hyperplane Hashing.

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

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Large-Scale Unsupervised Hashing with Shared Structure Learning.

Xianglong Liu, Yadong Mu, Danchen Zhang, Bo Lang, Xuelong Li

IEEE Trans. Cybern., 2015

Large-scale multi-task image labeling with adaptive relevance discovery and feature hashing.

Cheng Deng, Xianglong Liu, Yadong Mu, Jie Li

Signal Process., 2015

Online semi-supervised annotation via proxy-based local consistency propagation.

Lei Huang, Xianglong Liu, Binqiang Ma, Bo Lang

Neurocomputing, 2015

Adaptive multi-bit quantization for hashing.

Cheng Deng, Huiru Deng, Xianglong Liu, Yuan Yuan

Neurocomputing, 2015

Fast Graph Similarity Search via Locality Sensitive Hashing.

Boyu Zhang, Xianglong Liu, Bo Lang

Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015

Multi-View Complementary Hash Tables for Nearest Neighbor Search.

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

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Mixed image-keyword query adaptive hashing over multilabel images.

Xianglong Liu, Yadong Mu, Bo Lang, Shih-Fu Chang

ACM Trans. Multim. Comput. Commun. Appl., 2014

Multiple feature kernel hashing for large-scale visual search.

Xianglong Liu, Junfeng He, Bo Lang

Pattern Recognit., 2014

Query-Adaptive Hash Code Ranking for Fast Nearest Neighbor Search.

Tianxu Ji, Xianglong Liu, Cheng Deng, Lei Huang, Bo Lang

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Graph-based active semi-supervised learning: A new perspective for relieving multi-class annotation labor.

Lei Huang, Yang Liu, Xianglong Liu, Xindong Wang, Bo Lang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Image Super-resolution Based on Sparse Representation With Joint Constraints.

Jie Xu, Cheng Deng, Xianglong Liu, Jie Li

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2014

Ontology-based Concept Similarity Integrating Image Semantic and Visual Information.

Mengyun Wang, Xianglong Liu, Lei Huang, Bo Lang, Hailiang Yu

Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 2014

Collaborative Hashing.

Xianglong Liu, Junfeng He, Cheng Deng, Bo Lang

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Hash Bit Selection Using Markov Process for Approximate Nearest Neighbor Search.

Danchen Zhang, Xianglong Liu, Bo Lang

Proceedings of the 11th International Conference on Advances in Mobile Computing & Multimedia, 2013

Efficient semi-supervised annotation with Proxy-based Local Consistency Propagation.

Lei Huang, Yang Wang, Xianglong Liu, Bo Lang

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

Robust clustering for social annotated images.

Yang Wang, Jian Zheng, Xianglong Liu, Bo Lang

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

Hash Bit Selection: A Unified Solution for Selection Problems in Hashing.

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

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Reciprocal Hash Tables for Nearest Neighbor Search.

Xianglong Liu, Junfeng He, Bo Lang

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Feature grouping and local soft match for mobile visual search.

Xianglong Liu, Bo Lang, Yi Xu, Bo Cheng

Pattern Recognit. Lett., 2012

Multimedia semantics-aware query-adaptive hashing with bits reconfigurability.

Yadong Mu, Xiangyu Chen, Xianglong Liu, Tat-Seng Chua, Shuicheng Yan

Int. J. Multim. Inf. Retr., 2012

Compact kernel hashing with multiple features.

Xianglong Liu, Junfeng He, Di Liu, Bo Lang

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Compact hashing for mixed image-keyword query over multi-label images.

Xianglong Liu, Yadong Mu, Bo Lang, Shih-Fu Chang

Proceedings of the International Conference on Multimedia Retrieval, 2012

Mobile product search with Bag of Hash Bits and boundary reranking.

Junfeng He, Jinyuan Feng, Xianglong Liu, Tao Cheng, Tai-Hsu Lin, Hyunjin Chung, Shih-Fu Chang

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

An improved noise-robust voice activity detector based on hidden semi-Markov models.

Yuan Liang, Xianglong Liu, Yihua Lou, Baosong Shan

Pattern Recognit. Lett., 2011

Music identification via vocabulary tree with MFCC peaks.

Tianjing Xu, Adams Wei Yu, Xianglong Liu, Bo Lang

Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies, Scottsdale, AZ, USA, November 28, 2011

Search by mobile image based on visual and spatial consistency.

Xianglong Liu, Yihua Lou, Adams Wei Yu, Bo Lang

Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011

AUDR at ImageCLEF2011: Medical Retrieval Task.

Junwu Luo, Xianglong Liu, Han Wang, Bo Lang

Proceedings of the CLEF 2011 Labs and Workshop, 2011

2010

A heuristic algorithm for cube packing with time schedule.

Wei Li, Wenqi Huang, Dongchen Jiang, Xianglong Liu

Sci. China Inf. Sci., 2010

Noise-Robust Voice Activity Detector Based on Hidden Semi-Markov Models.

Xianglong Liu, Yuan Liang, Yihua Lou, He Li, Baosong Shan

Proceedings of the 20th International Conference on Pattern Recognition, 2010