Weifeng Liu - RankMe

269 papers A* 16A 1B 21C 1Misc 2Journal 188Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Causal-guided strength differential independence sample weighting for out-of-distribution generalization. Pattern Recognit. Haoran Yu, Weifeng Liu, Yingjie Wang, Baodi Liu, Dapeng Tao, Honglong Chen
2026	J	`jnl`	Context-aware feature complementary screening network for mass segmentation in whole mammograms. Multim. Syst. Qingkun Guo, Mei Liu, Luhao Sun, Chao Li, Wenzong Jiang, Weifeng Liu, Lin Cong, Zhiyong Yu, Baodi Liu
2026	J	`jnl`	Cross-Hierarchical Decoding With SAM for Semi-Supervised Medical Image Segmentation. IEEE Trans. Circuits Syst. Video Technol. Hanyang Chi, Mengyu Liu, Jin Wang, Xuru Gao, Guixun Luo, Bingfeng Zhang, Weifeng Liu
2026	J	`jnl`	Cross-difference-driven dual-stream contrast multi-view network for mammogram classification. Multim. Syst. Ruijia Tian, Chenteng Zhang, Wenzong Jiang, Chao Li, Zhiyong Yu, Weifeng Liu, Xiongbin Wang, Baodi Liu
2026	J	`jnl`	Domain Adaptation via Manifold Regularization for Sketch Image Caption. Displays Meng Lyu, Haoran Yu, Weifeng Liu
2026	J	`jnl`	Dynamic frequency-band filtering domain generalization for mammogram classification. Multim. Syst. Shenxiao Li, Yunqi Huang, Wenzong Jiang, Chao Li, Zhiyong Yu, Weifeng Liu, Xiongbin Wang, Baodi Liu
2026	A*	`conf`	HCC-3D: Hierarchical Compensatory Compression for 98% 3D Token Reduction in Vision-Language Models. AAAI Liheng Zhang, Jin Wang, Hui Li, Bingfeng Zhang, Weifeng Liu
2026	J	`jnl`	Joint subgraph independence for graph out-of-distribution generalization. Pattern Recognit. Haoran Yu, Weifeng Liu, Yingjie Wang, Baodi Liu, Dapeng Tao, Dan Zeng, Honglong Chen
2026	J	`jnl`	Lesion Asymmetry Screening Assisted Global Awareness Multi-View Network for Mammogram Classification. IEEE Trans. Medical Imaging Xinchuan Liu, Luhao Sun, Chao Li, Bowen Han, Wenzong Jiang, Tianhao Yuan, Weifeng Liu, Zhaoyun Liu, Zhiyong Yu, Baodi Liu
2026	J	`jnl`	MATE: A D2D-Enhanced Multi-Bitrate Video Caching Strategy for Cloud-Edge-Device Collaborative Networks. IEEE Trans. Mob. Comput. Haiyang Sun, Honglong Chen, Xinglong Fan, Zhichen Ni, Liantao Wu, Peng Sun, Weifeng Liu
2026	J	`jnl`	SCM: Semantic Segmentation with Dual-stream Semantic Synergy under Adverse Weather Conditions. Multim. Syst. Shuochen Tian, Jian Pang, Jin Wang, Bingfeng Zhang, Weifeng Liu
2026	J	`jnl`	Unbiased Semantic Decoding With Vision Foundation Models for Few-Shot Segmentation. IEEE Trans. Neural Networks Learn. Syst. Jin Wang, Bingfeng Zhang, Jian Pang, Weifeng Liu, Baodi Liu, Honglong Chen
2025	J	`jnl`	A Triple Stealthy Backdoor: Hidden in Spatial, Frequency, and Feature Domains. IEEE Trans. Dependable Secur. Comput. Yudong Gao, Honglong Chen, Peng Sun, Junjian Li, Yangxu Yin, Zhibo Wang, Weifeng Liu
2025	J	`jnl`	Benchmarking Medical LLMs on Anesthesiology: A Comprehensive Dataset in Chinese. IEEE Trans. Emerg. Top. Comput. Intell. Bohao Zhou, Yibing Zhan, Zhonghai Wang, Yanhong Li, Chong Zhang, Baosheng Yu, Liang Ding, Hua Jin, Weifeng Liu, Xiongbin Wang, Dapeng Tao
2025	J	`jnl`	Beyond Visual Cues: Leveraging General Semantics as Support for Few-Shot Segmentation. CoRR Jin Wang, Bingfeng Zhang, Jian Pang, Mengyu Liu, Honglong Chen, Weifeng Liu
2025	J	`jnl`	Black-Box Adversarial Defense Based on Image Decomposition and Reconstruction. IEEE Trans. Multim. Jimiao Yu, Honglong Chen, Junjian Li, Linghan Chen, Yudong Gao, Weifeng Liu, Lei Zhang
2025	J	`jnl`	Building accurate translation-tailored large language models with language-aware instruction tuning. Frontiers Inf. Technol. Electron. Eng. Changtong Zan, Liang Ding, Li Shen, Yibing Zhan, Xinghao Yang, Weifeng Liu
2025	J	`jnl`	Code-switching finetuning: Bridging multilingual pretrained language models for enhanced cross-lingual performance. Eng. Appl. Artif. Intell. Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu
2025	J	`jnl`	Correction: Parentheses insertion based sentence-level text adversarial attack. Multim. Syst. Ang Li, Xinghao Yang, Baodi Liu, Honglong Chen, Dapeng Tao, Weifeng Liu
2025	—	`conf`	Directional Denoising Diffusion Model for Defect Reconstruction Using Alternating Current Field Measurement. ICIC (16) Zhenyu Zhang, Yuhong Lu, Haoran Li, Wei Li, Weifeng Liu
2025	A*	`conf`	Disentangled Information Bottleneck for Adversarial Text Defense. EMNLP Yidan Xu, Xinghao Yang, Wei Liu, Bao-Di Liu, Weifeng Liu
2025	—	`conf`	Domain Generalization for Mammogram Classification by Suppressing Domain-Specific Features. MICCAI (7) Jiqun Chen, Luhao Sun, Wenzong Jiang, Weifeng Liu, Chao Li, Zhiyong Yu, Baodi Liu
2025	A*	`conf`	Excluding the Impossible for Open Vocabulary Semantic Segmentation. AAAI Shiyuan Zhao, Baodi Liu, Yu Bai, Weifeng Liu, Shuai Shao
2025	A*	`conf`	FFCBA: Feature-based Full-target Clean-label Backdoor Attacks. ACM Multimedia Yangxu Yin, Honglong Chen, Yudong Gao, Peng Sun, Liantao Wu, Zhe Li, Weifeng Liu
2025	J	`jnl`	FFCBA: Feature-based Full-target Clean-label Backdoor Attacks. CoRR Yangxu Yin, Honglong Chen, Yudong Gao, Peng Sun, Liantao Wu, Zhe Li, Weifeng Liu
2025	J	`jnl`	Feature aggregation and connectivity for object re-identification. Pattern Recognit. Dongchen Han, Baodi Liu, Shuai Shao, Weifeng Liu, Yicong Zhou
2025	J	`jnl`	Fine-Tuning LLMs for Anesthesiology via Compositional Data Generation. IEEE Trans. Emerg. Top. Comput. Intell. Yanhong Li, Yibing Zhan, Baosheng Yu, Zhonghai Wang, Chong Zhang, Da Zhu, Chengli Zhou, Bohao Zhou, Liang Ding, Weifeng Liu, Xiongbin Wang, Dapeng Tao
2025	J	`jnl`	GSF-GAN: A Global-Aware Selective Fusion Generative Adversarial Network for Multitemporal Cloud Removal. IEEE Geosci. Remote. Sens. Lett. Shengjie Wang, Haoran Zhou, Aozhe Dou, Weifeng Liu, Baodi Liu
2025	J	`jnl`	HCC-3D: Hierarchical Compensatory Compression for 98% 3D Token Reduction in Vision-Language Models. CoRR Liheng Zhang, Jin Wang, Hui Li, Bingfeng Zhang, Weifeng Liu
2025	J	`jnl`	Hypnos: A domain-specific large language model for anesthesiology. Neurocomputing Zhonghai Wang, Jie Jiang, Yibing Zhan, Bohao Zhou, Yanhong Li, Chong Zhang, Baosheng Yu, Liang Ding, Hua Jin, Jun Peng, Xu Lin, Weifeng Liu
2025	J	`jnl`	IW-ViT: Independence-Driven Weighting Vision Transformer for out-of-distribution generalization. Pattern Recognit. Weifeng Liu, Haoran Yu, Yingjie Wang, Baodi Liu, Dapeng Tao, Honglong Chen
2025	J	`jnl`	MDA-GAN: Multi-dimensional Attention Guided Concurrent-Single-Image-GAN. Circuits Syst. Signal Process. Boyang Gu, Xueqin Wang, Weifeng Liu, Yanjiang Wang
2025	J	`jnl`	MSC-GAN: A Multistream Complementary Generative Adversarial Network With Grouping Learning for Multitemporal Cloud Removal. IEEE Trans. Geosci. Remote. Sens. Haoran Zhou, Yanjiang Wang, Weifeng Liu, Dapeng Tao, Wei Ma, Baodi Liu
2025	A*	`conf`	Modeling All Response Surfaces in One for Conditional Search Spaces. AAAI Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang, Weifeng Liu, Dacheng Tao
2025	J	`jnl`	Modeling All Response Surfaces in One for Conditional Search Spaces. CoRR Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang, Weifeng Liu, Dacheng Tao
2025	J	`jnl`	Multi-scale region selection network in deep features for full-field mammogram classification. Medical Image Anal. Luhao Sun, Bowen Han, Wenzong Jiang, Weifeng Liu, Baodi Liu, Dapeng Tao, Zhiyong Yu, Chao Li
2025	J	`jnl`	Noise-Robust Few-Shot Classification via Variational Adversarial Data Augmentation. Comput. Vis. Media Renjie Xu, Baodi Liu, Kai Zhang, Honglong Chen, Dapeng Tao, Weifeng Liu
2025	J	`jnl`	PPBU: Progressive Pixel Bank Updating Strategy for Single Remote Sensing Image Denoising. IEEE Geosci. Remote. Sens. Lett. Haoyu Wang, Baodi Liu, Weifeng Liu, Dapeng Tao, Yanjiang Wang
2025	J	`jnl`	Parentheses insertion based sentence-level text adversarial attack. Multim. Syst. Ang Li, Xinghao Yang, Baodi Liu, Honglong Chen, Dapeng Tao, Weifeng Liu
2025	A*	`conf`	Reasoning Like Experts: Leveraging Multimodal Large Language Models for Drawing-based Psychoanalysis. ACM Multimedia Xueqi Ma, Yanbei Jiang, Sarah M. Erfani, James Bailey, Weifeng Liu, Krista A. Ehinger, Jey Han Lau
2025	J	`jnl`	Reasoning Like Experts: Leveraging Multimodal Large Language Models for Drawing-based Psychoanalysis. CoRR Xueqi Ma, Yanbei Jiang, Sarah M. Erfani, James Bailey, Weifeng Liu, Krista A. Ehinger, Jey Han Lau
2025	J	`jnl`	SFIBA: Spatial-based Full-target Invisible Backdoor Attacks. CoRR Yangxu Yin, Honglong Chen, Yudong Gao, Peng Sun, Zhishuai Li, Weifeng Liu
2025	J	`jnl`	See Degraded Objects: A Physics-Guided Approach for Object Detection in Adverse Environments. IEEE Trans. Image Process. Weifeng Liu, Jian Pang, Bingfeng Zhang, Jin Wang, Baodi Liu, Dapeng Tao
2025	J	`jnl`	Unbiased Semantic Decoding with Vision Foundation Models for Few-shot Segmentation. CoRR Jin Wang, Bingfeng Zhang, Jian Pang, Weifeng Liu, Baodi Liu, Honglong Chen
2025	J	`jnl`	WMANet:Weighted multiple adaptive feature attention for self-supervised single remote-sensing image denoising. Knowl. Based Syst. Haoyu Wang, Xueqin Wang, Xu Lin, Weifeng Liu, Dapeng Tao, Baodi Liu, Yanjiang Wang
2024	A*	`conf`	A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives. AAAI Yudong Gao, Honglong Chen, Peng Sun, Junjian Li, Anqing Zhang, Zhibo Wang, Weifeng Liu
2024	A*	`conf`	Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation. CVPR Hanyang Chi, Jian Pang, Bingfeng Zhang, Weifeng Liu
2024	J	`jnl`	Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation. CoRR Hanyang Chi, Jian Pang, Bingfeng Zhang, Weifeng Liu
2024	J	`jnl`	Adaptive Gradient-based Word Saliency for adversarial text attacks. Neurocomputing Yupeng Qi, Xinghao Yang, Baodi Liu, Kai Zhang, Weifeng Liu
2024	A*	`conf`	Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks. EMNLP Ao Wang, Xinghao Yang, Chen Li, Baodi Liu, Weifeng Liu
2024	J	`jnl`	AdvST: Generating Unrestricted Adversarial Images via Style Transfer. IEEE Trans. Multim. Xiaomeng Wang, Honglong Chen, Peng Sun, Junjian Li, Anqing Zhang, Weifeng Liu, Nan Jiang
2024	J	`jnl`	Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning. CoRR Changtong Zan, Liang Ding, Li Shen, Yibing Zhen, Weifeng Liu, Dacheng Tao
2024	J	`jnl`	Call White Black: Enhanced Image-Scaling Attack in Industrial Artificial Intelligence Systems. IEEE Trans. Ind. Informatics Junjian Li, Honglong Chen, Peng Sun, Zhibo Wang, Zhichen Ni, Weifeng Liu
2024	J	`jnl`	Central Attention with Multi-Graphs for Image Annotation. Neural Process. Lett. Baodi Liu, Yan Liu, Qianqian Shao, Weifeng Liu
2024	J	`jnl`	Deep Location Soft-Embedding-Based Network With Regional Scoring for Mammogram Classification. IEEE Trans. Medical Imaging Bowen Han, Luhao Sun, Chao Li, Zhiyong Yu, Wenzong Jiang, Weifeng Liu, Dapeng Tao, Baodi Liu
2024	J	`jnl`	Design of integrated interactive system for pre-diagnosis of breast cancer pathological images based on CNN and PyQt5. Multim. Syst. Yunkai Yang, Qijia Yang, Weifeng Liu, Baodi Liu
2024	—	`conf`	Discriminative Representation-Based Classifier for Few-Shot Remote Sensing Classification. PRCV (13) Tianhao Yuan, Weifeng Liu, Yingjie Wang, Baodi Liu
2024	J	`jnl`	EME: Energy-Based Multiexpert Model for Long-Tailed Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. Yu Bai, Shuai Shao, Shiyuan Zhao, Weifeng Liu, Dapeng Tao, Baodi Liu
2024	J	`jnl`	Enhanced online CAM: Single-stage weakly supervised semantic segmentation via collaborative guidance. Pattern Recognit. Bingfeng Zhang, Xuru Gao, Siyue Yu, Weifeng Liu
2024	J	`jnl`	Ensembling Multi-View Discriminative Semantic Feature for Few-Shot Classification. Eng. Appl. Artif. Intell. Rui Xu, Shuai Shao, Lei Xing, Yanjiang Wang, Baodi Liu, Weifeng Liu
2024	J	`jnl`	FADS: Fourier-Augmentation Based Data-Shunting for Few-Shot Classification. IEEE Trans. Circuits Syst. Video Technol. Shuai Shao, Yan Wang, Bin Liu, Weifeng Liu, Yanjiang Wang, Baodi Liu
2024	J	`jnl`	Feedback-Irrelevant Mapping: An evaluation method for decoupled few-shot classification. Eng. Appl. Artif. Intell. Rui Xu, Shuai Shao, Lei Xing, Yan-Jiang Wang, Baodi Liu, Weifeng Liu
2024	J	`jnl`	Few-shot image classification via hybrid representation. Pattern Recognit. Bao-Di Liu, Shuai Shao, Chunyan Zhao, Lei Xing, Weifeng Liu, Weijia Cao, Yicong Zhou
2024	B	`conf`	HTPSeg: A Semantic Segmentation Database for House-Tree-Person Psychological Test. ICTAI Hao Wang, Jin Wang, Ting Pan, Bingfeng Zhang, Weifeng Liu
2024	J	`jnl`	Image-Scaling Attack on Image Signal Processing Pipelines in Deep Neural Networks-Based Outdoor Vision Applications. IEEE Trans. Consumer Electron. Junjian Li, Honglong Chen, Zhichen Ni, Yudong Gao, Weifeng Liu, Nan Jiang
2024	J	`jnl`	Investigating the Backdoor on DNNs Based on Recolorization and Reconstruction: From a Multi-Channel Perspective. IEEE Trans. Inf. Forensics Secur. Honglong Chen, Yudong Gao, Anqing Zhang, Peng Sun, Nan Jiang, Weifeng Liu, Xingang Wang
2024	J	`jnl`	MCNet: Magnitude consistency network for domain adaptive object detection under inclement environments. Pattern Recognit. Jian Pang, Weifeng Liu, Bingfeng Zhang, Xinghao Yang, Baodi Liu, Dapeng Tao
2024	J	`jnl`	MWLN: Multilevel Wavelet Learning Network for Continuous-Scale Remote-Sensing Image Super-Resolution. IEEE Geosci. Remote. Sens. Lett. Baodi Liu, Lifei Zhao, Weifeng Liu, Ye Li
2024	J	`jnl`	Non-local Graph Convolutional Network. Circuits Syst. Signal Process. Chunyu Du, Shuai Shao, Jun Tang, Xinjing Song, Weifeng Liu, Baodi Liu, Yanjiang Wang
2024	J	`jnl`	Poisson Process for Bayesian Optimization. CoRR Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, Dacheng Tao
2024	J	`jnl`	Remote sensing image cloud removal based on multi-scale spatial information perception. Multim. Syst. Aozhe Dou, Yang Hao, Weifeng Liu, Liangliang Li, Zhenzhong Wang, Baodi Liu
2024	A*	`conf`	Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation. CVPR Jin Wang, Bingfeng Zhang, Jian Pang, Honglong Chen, Weifeng Liu
2024	J	`jnl`	Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation. CoRR Jin Wang, Bingfeng Zhang, Jian Pang, Honglong Chen, Weifeng Liu
2024	J	`jnl`	SELM: Self-Motivated Ensemble Learning Model for Cross-Domain Few-Shot Classification in Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. Shiyuan Zhao, Yu Bai, Shuai Shao, Weifeng Liu, Xinmin Ge, Ye Li, Baodi Liu
2024	J	`jnl`	Simplified Multi-head Mechanism for Few-Shot Remote Sensing Image Classification. Neural Process. Lett. Xujian Qiao, Lei Xing, Anxun Han, Weifeng Liu, Baodi Liu
2024	J	`jnl`	Target Oriented Dynamic Adaption for Cross-Domain Few-Shot Learning. Neural Process. Lett. Xinyi Chang, Chunyu Du, Xinjing Song, Weifeng Liu, Yanjiang Wang
2024	J	`jnl`	Towards Training A Chinese Large Language Model for Anesthesiology. CoRR Zhonghai Wang, Jie Jiang, Yibing Zhan, Bohao Zhou, Yanhong Li, Chong Zhang, Liang Ding, Hua Jin, Jun Peng, Xu Lin, Weifeng Liu
2024	J	`jnl`	Weight Saliency search with Semantic Constraint for Neural Machine Translation attacks. Pattern Recognit. Lett. Wen Han, Xinghao Yang, Baodi Liu, Kai Zhang, Weifeng Liu
2023	—	`conf`	A Stable Vision Transformer for Out-of-Distribution Generalization. PRCV (8) Haoran Yu, Baodi Liu, Yingjie Wang, Kai Zhang, Dapeng Tao, Weifeng Liu
2023	J	`jnl`	ARPCNN: Auxiliary Review-Based Personalized Attentional CNN for Trustworthy Recommendation. IEEE Trans. Ind. Informatics Zhe Li, Honglong Chen, Zhichen Ni, Xiaogang Deng, Baodi Liu, Weifeng Liu
2023	A*	`conf`	Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation. IJCAI Chen Li, Xinghao Yang, Baodi Liu, Weifeng Liu, Honglong Chen
2023	J	`jnl`	Attention-Based Multi-View Feature Collaboration for Decoupled Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. Shuai Shao, Lei Xing, Yanjiang Wang, Baodi Liu, Weifeng Liu, Yicong Zhou
2023	—	`conf`	Attribute Space Analysis for Image Editing. ICIG (2) Yiping Chen, Shuqi Yang, Baodi Liu, Weifeng Liu
2023	J	`jnl`	CSN: Component supervised network for few-shot classification. Eng. Appl. Artif. Intell. Rui Xu, Shuai Shao, Lei Xing, Yujun Wei, Weifeng Liu, Baodi Liu, Yanjiang Wang
2023	J	`jnl`	Cross-Domain Few-Shot classification via class-shared and class-specific dictionaries. Pattern Recognit. Renjie Xu, Lei Xing, Baodi Liu, Dapeng Tao, Weijia Cao, Weifeng Liu
2023	J	`jnl`	Decision fusion for few-shot image classification. Int. J. Multim. Inf. Retr. Tianhao Yuan, Weifeng Liu, Fei Yan, Baodi Liu
2023	B	`conf`	Deep Positional-Representation-Based Local Information Retention Networks for Mammography Classification. SMC Bowen Han, Luhao Sun, Chao Li, Zhiyong Yu, Wenzong Jiang, Weifeng Liu, Dapeng Tao, Baodi Liu
2023	J	`jnl`	Deformable Convolutional Network Constrained by Contrastive Learning for Underwater Image Enhancement. IEEE Geosci. Remote. Sens. Lett. Jing Tian, Xinran Guo, Weifeng Liu, Dapeng Tao, Baodi Liu
2023	J	`jnl`	Double Discriminative Constraint-Based Affine Nonnegative Representation for Few-Shot Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. Tianhao Yuan, Weifeng Liu, Baodi Liu
2023	J	`jnl`	Dynamic Adaptive Attention-Guided Self-Supervised Single Remote-Sensing Image Denoising. IEEE Trans. Geosci. Remote. Sens. Minghao Liu, Wenzong Jiang, Weifeng Liu, Dapeng Tao, Baodi Liu
2023	J	`jnl`	Dynamic Feature Attention Network for Remote Sensing Image Dehazing. Neural Process. Lett. Yang Hao, Wenzong Jiang, Weifeng Liu, Weijia Cao, Baodi Liu
2023	J	`jnl`	Dynamic Pruning of Regions for Image-Sentence Matching. Signal Process. Image Commun. Jie Wu, Weifeng Liu, Leiquan Wang, Xiuxuan Shen, Yiwei Wei, Chunlei Wu
2023	J	`jnl`	Egocentric Early Action Prediction via Adversarial Knowledge Distillation. ACM Trans. Multim. Comput. Commun. Appl. Na Zheng, Xuemeng Song, Tianyu Su, Weifeng Liu, Yan Yan, Liqiang Nie
2023	J	`jnl`	Feature Fusion Based Parallel Graph Convolutional Neural Network for Image Annotation. Neural Process. Lett. Mengke Wang, Yan Liu, Weifeng Liu, Baodi Liu
2023	J	`jnl`	GSA4FDA: Deep Geometric and Statistic Alignment for Fewer Labeled Domain Adaptation. Neural Process. Lett. Yuying Cai, Baodi Liu, Xinghao Yang, Xiaoping Lu, Dapeng Tao, Weifeng Liu
2023	—	`conf`	Generating New Paintings by Semantic Guidance. MMM (2) Ting Pan, Fei Wang, Junzhou Xie, Weifeng Liu
2023	J	`jnl`	Generation-based parallel particle swarm optimization for adversarial text attacks. Inf. Sci. Xinghao Yang, Yupeng Qi, Honglong Chen, Baodi Liu, Weifeng Liu
2023	—	`conf`	Interpretable Drawing Psychoanalysis via House-Tree-Person Test. AI (2) Yaowu Xie, Ting Pan, Baodi Liu, Honglong Chen, Weifeng Liu
2023	J	`jnl`	MSCET: A Multi-Scenario Offloading Schedule for Biomedical Data Processing and Analysis in Cloud-Edge-Terminal Collaborative Vehicular Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Zhichen Ni, Honglong Chen, Zhe Li, Xiaomeng Wang, Na Yan, Weifeng Liu, Feng Xia
2023	—	`conf`	Multi-graph Laplacian Feature Mapping Incorporating Tag Information for Image Annotation. AI (1) Yan Liu, Qianqian Shao, Rui Cheng, Weifeng Liu, Baodi Liu
2023	J	`jnl`	Non-Contrastive Nearest Neighbor Identity-Guided Method for Unsupervised Object Re-Identification. IEEE Trans. Circuits Syst. Video Technol. Dongchen Han, Weifeng Liu, Mingchen Zou, Baodi Liu
2023	—	`conf`	Poisson Process for Bayesian Optimization. AutoML Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, Dacheng Tao
2023	B	`conf`	Prompt-Learning for Cross-Lingual Relation Extraction. IJCNN Chiaming Hsu, Changtong Zan, Liang Ding, Longyue Wang, Xiaoting Wang, Weifeng Liu, Fu Lin, Wenbin Hu
2023	J	`jnl`	Prompt-Learning for Cross-Lingual Relation Extraction. CoRR Chiaming Hsu, Changtong Zan, Liang Ding, Longyue Wang, Xiaoting Wang, Weifeng Liu, Fu Lin, Wenbin Hu
2023	J	`jnl`	RAN: Region-Aware Network for Remote Sensing Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. Baodi Liu, Lifei Zhao, Shuai Shao, Weifeng Liu, Dapeng Tao, Weijia Cao, Yicong Zhou
2023	J	`jnl`	Selecting Information Fusion Generative Adversarial Network for Remote-Sensing Image Cloud Removal. IEEE Geosci. Remote. Sens. Lett. Yang Hao, Wenzong Jiang, Weifeng Liu, Ye Li, Bao-Di Liu
2023	B	`conf`	Self-Compensating Learning for Few-Shot Segmentation. ICIP Jin Wang, Bingfeng Zhang, Weifeng Liu, Baodi Liu, Siyue Yu
2023	J	`jnl`	Self-Paced Hard Task-Example Mining for Few-Shot Classification. IEEE Trans. Circuits Syst. Video Technol. Renjie Xu, Xinghao Yang, Xingxing Yao, Dapeng Tao, Weijia Cao, Xiaoping Lu, Weifeng Liu
2023	J	`jnl`	Semantic-Preserving Adversarial Text Attacks. IEEE Trans. Sustain. Comput. Xinghao Yang, Yongshun Gong, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu
2023	J	`jnl`	Shared Dictionary Learning Via Coupled Adaptations for Cross-Domain Classification. Neural Process. Lett. Yuying Cai, Jinfeng Li, Baodi Liu, Weijia Cao, Honglong Chen, Weifeng Liu
2023	A*	`conf`	Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition (Extended Abstract). ICDE Xinghao Yang, Weifeng Liu, Wei Liu
2023	A*	`conf`	Tilted Sparse Additive Models. ICML Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao
2023	J	`jnl`	Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation. CoRR Changtong Zan, Liang Ding, Li Shen, Yibin Lei, Yibing Zhan, Weifeng Liu, Dacheng Tao
2022	J	`jnl`	A graph convolutional neural network model with Fisher vector encoding and channel-wise spatial-temporal aggregation for skeleton-based action recognition. IET Image Process. Jun Tang, Yanjiang Wang, Sichao Fu, Baodi Liu, Weifeng Liu
2022	J	`jnl`	Adaptive graph convolutional collaboration networks for semi-supervised classification. Inf. Sci. Sichao Fu, Senlin Wang, Weifeng Liu, Baodi Liu, Bin Zhou, Xinhua You, Qinmu Peng, Xiao-Yuan Jing
2022	J	`jnl`	Adaptive multi-scale transductive information propagation for few-shot learning. Knowl. Based Syst. Sichao Fu, Baodi Liu, Weifeng Liu, Bin Zou, Xinhua You, Qinmu Peng, Xiao-Yuan Jing
2022	Misc	`conf`	Agcyclegan: Attention-Guided Cyclegan for Single Underwater Image Restoration. ICASSP Zhenlong Wang, Weifeng Liu, Yanjiang Wang, Baodi Liu
2022	J	`jnl`	Answer Questions with Right Image Regions: A Visual Attention Regularization Approach. ACM Trans. Multim. Comput. Commun. Appl. Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie, Min Zhang
2022	B	`conf`	Automated Drawing Psychoanalysis via House-Tree-Person Test. ICTAI Ting Pan, Xiaoming Zhao, Baodi Liu, Weifeng Liu
2022	J	`jnl`	Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation. CoRR Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao
2022	J	`jnl`	CSN: Component-Supervised Network for Few-Shot Classification. CoRR Shuai Shao, Baodi Liu, Lei Xing, Lifei Zhao, Yanjiang Wang, Weifeng Liu, Yicong Zhou
2022	J	`jnl`	Class Shared Dictionary Learning for Few-Shot Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. Lei Xing, Lifei Zhao, Weijia Cao, Xinmin Ge, Weifeng Liu, Baodi Liu
2022	J	`jnl`	Co-Learning for Few-Shot Learning. Neural Process. Lett. Rui Xu, Lei Xing, Shuai Shao, Baodi Liu, Kai Zhang, Weifeng Liu
2022	J	`jnl`	DLDL: Dynamic label dictionary learning via hypergraph regularization. Neurocomputing Shuai Shao, Rui Xu, Zhenfang Wang, Weifeng Liu, Yanjiang Wang, Bao-Di Liu
2022	J	`jnl`	DMH-FSL: Dual-Modal Hypergraph for Few-Shot Learning. Neural Process. Lett. Rui Xu, Baodi Liu, Xiaoping Lu, Kai Zhang, Weifeng Liu
2022	J	`jnl`	Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation. ACM Trans. Multim. Comput. Commun. Appl. Jinfeng Li, Weifeng Liu, Yicong Zhou, Jun Yu, Dapeng Tao, Changsheng Xu
2022	B	`conf`	EMAS: Efficient Meta Architecture Search for Few-Shot Learning. ICTAI Dongkai Liu, Jiaxing Li, Honglong Chen, Baodi Liu, Xiaoping Lu, Weifeng Liu
2022	Misc	`conf`	Enrich Features for Few-Shot Point Cloud Classification. ICASSP Hengxin Feng, Weifeng Liu, Yanjiang Wang, Baodi Liu
2022	J	`jnl`	GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. Rui Xu, Lei Xing, Shuai Shao, Lifei Zhao, Baodi Liu, Weifeng Liu, Yicong Zhou
2022	—	`conf`	Image Super-Resolution Based on Adaptive Feature Fusion Channel Attention. ICONIP (3) Qizhang Song, Baodi Liu, Weifeng Liu
2022	J	`jnl`	Learning Representation on Optimized High-Order Manifold for Visual Classification. IEEE Trans. Multim. Xueqi Ma, Weifeng Liu, Qi Tian, Yue Gao
2022	J	`jnl`	Learning task-specific discriminative embeddings for few-shot image classification. Neurocomputing Lei Xing, Shuai Shao, Weifeng Liu, Anxun Han, Xiangshuai Pan, Bao-Di Liu
2022	J	`jnl`	Learning to Cooperate: Decision Fusion Method for Few-Shot Remote-Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. Lei Xing, Shuai Shao, Yuteng Ma, Yanjiang Wang, Weifeng Liu, Baodi Liu
2022	J	`jnl`	Location Soft-Aggregation-Based Band Weighting for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. Xuefei Li, Baodi Liu, Kai Zhang, Weifeng Liu
2022	J	`jnl`	MDFM: Multi-Decision Fusing Model for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. Shuai Shao, Lei Xing, Rui Xu, Weifeng Liu, Yanjiang Wang, Bao-Di Liu
2022	J	`jnl`	MSCET: A Multi-Scenario Offloading Schedule for Biomedical Data Processing and Analysis in Cloud-Edge-Terminal Collaborative Vehicular Networks. CoRR Zhichen Ni, Honglong Chen, Zhe Li, Xiaomeng Wang, Na Yan, Weifeng Liu, Feng Xia
2022	B	`conf`	MSL-FER: Mirrored Self-Supervised Learning for Facial Expression Recognition. ICIP Xiangshuai Pan, Weifeng Liu, Yanjiang Wang, Xiaoping Lu, Baodi Liu
2022	B	`conf`	MVFF: Multi-view Feature Fusion for Few-shot Remote Sensing Image Scene Classification. SMC Anxun Han, Lei Xing, Weifeng Liu, Baodi Liu
2022	B	`conf`	Multi-relational Semantic Distillation for Few-Shot Object Detection. SMC Qingtao Xie, Xiangshuai Pan, Weifeng Liu, Baodi Liu
2022	B	`conf`	Multi-task Facial Expression Recognition With Joint Gender Learning. SMC Xiangshuai Pan, Qingtao Xie, Weifeng Liu, Baodi Liu
2022	J	`jnl`	Multi-view learning for hyperspectral image classification: An overview. Neurocomputing Xuefei Li, Baodi Liu, Kai Zhang, Honglong Chen, Weijia Cao, Weifeng Liu, Dapeng Tao
2022	J	`jnl`	Multiorder Interaction Information Embedding-Based Multiview Fusion-Aided Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. Xuefei Li, Weijia Cao, Kai Zhang, Baodi Liu, Dapeng Tao, Weifeng Liu
2022	J	`jnl`	Multistep-Ahead Prediction of Ocean SSTA Based on Hybrid Empirical Mode Decomposition and Gated Recurrent Unit Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Xiaoyin Liu, Ning Li, Jun Guo, Zhongyong Fan, Xiaoping Lu, Weifeng Liu, Baodi Liu
2022	J	`jnl`	Object re-identification with distribution corrected ranking list. Neurocomputing Dongchen Han, Shuai Shao, Weifeng Liu, Bao-Di Liu
2022	B	`conf`	On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation. COLING Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao
2022	J	`jnl`	On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation. CoRR Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao
2022	J	`jnl`	Rethinking Few-Shot Remote Sensing Scene Classification: A Good Embedding Is All You Need? IEEE Geosci. Remote. Sens. Lett. Lei Xing, Yuteng Ma, Weijia Cao, Shuai Shao, Weifeng Liu, Baodi Liu
2022	J	`jnl`	Selecting task with optimal transport self-supervised learning for few-shot classification. CoRR Renjie Xu, Xinghao Yang, Baodi Liu, Kai Zhang, Weifeng Liu
2022	J	`jnl`	Tensor Canonical Correlation Analysis Networks for Multi-View Remote Sensing Scene Recognition. IEEE Trans. Knowl. Data Eng. Xinghao Yang, Weifeng Liu, Wei Liu
2022	J	`jnl`	U-Shaped Attention Connection Network for Remote-Sensing Image Super-Resolution. IEEE Geosci. Remote. Sens. Lett. Wenzong Jiang, Lifei Zhao, Yanjiang Wang, Weifeng Liu, Bao-Di Liu
2022	—	`conf`	Vega-MT: The JD Explore Academy Machine Translation System for WMT22. WMT Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao
2022	J	`jnl`	Vega-MT: The JD Explore Academy Translation System for WMT22. CoRR Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao
2022	—	`conf`	Virtual Try-on via Matching Relation with Landmark. ICONIP (3) Hao Wu, Xingxing Yao, Baodi Liu, Xiaoping Lu, Weifeng Liu
2022	J	`jnl`	Where Does the Performance Improvement Come From? - A Reproducibility Concern about Image-Text Retrieval. CoRR Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao
2022	A*	`conf`	Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval. SIGIR Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao
2021	J	`jnl`	A Survey on Canonical Correlation Analysis. IEEE Trans. Knowl. Data Eng. Xinghao Yang, Weifeng Liu, Wei Liu, Dacheng Tao
2021	J	`jnl`	Accurately modeling the human brain functional correlations with hypergraph Laplacian. Neurocomputing Jichao Ma, Yanjiang Wang, Bao-Di Liu, Weifeng Liu
2021	B	`conf`	Adaptive Eigenmodes for Robust Object Tracking. SMC Mengxue Liu, Yujuan Qi, Yanjiang Wang, Baodi Liu, Weifeng Liu
2021	B	`conf`	Affine Non-Negative Collaborative Representation for Deep Metric Learning. ICIP Min Zhu, Bao-Di Liu, Weifeng Liu, Kai Zhang, Ye Li, Xiaoping Lu
2021	J	`jnl`	Answer Questions with Right Image Regions: A Visual Attention Regularization Approach. CoRR Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie
2021	A*	`conf`	BESA: BERT-based Simulated Annealing for Adversarial Text Attacks. IJCAI Xinghao Yang, Weifeng Liu, Dacheng Tao, Wei Liu
2021	A*	`conf`	Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search. AAAI Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu
2021	J	`jnl`	CNN-combined graph residual network with multilevel feature fusion for hyperspectral image classification. IET Comput. Vis. Wenhui Guo, Guixun Xu, Weifeng Liu, Baodi Liu, Yanjiang Wang
2021	B	`conf`	Collaborative Representation for Deep Meta Metric Learning. ICMR Min Zhu, Weifeng Liu, Kai Zhang, Ye Li, Peng Liu, Baodi Liu
2021	J	`jnl`	Cross-Dimension Attention Guided Self-Supervised Remote Sensing Single-Image Super-Resolution. Remote. Sens. Wenzong Jiang, Lifei Zhao, Yanjiang Wang, Weifeng Liu, Bao-Di Liu
2021	J	`jnl`	Dynamic Graph Learning Convolutional Networks for Semi-supervised Classification. ACM Trans. Multim. Comput. Commun. Appl. Sichao Fu, Weifeng Liu, Weili Guan, Yicong Zhou, Dapeng Tao, Changsheng Xu
2021	—	`conf`	Edge Loss for Remote Sensing Image Super-Resolution. CECNet Jiaoyue Li, Weifeng Liu, Kai Zhang, Baodi Liu
2021	J	`jnl`	Example-feature graph convolutional networks for semi-supervised classification. Neurocomputing Sichao Fu, Weifeng Liu, Kai Zhang, Yicong Zhou
2021	B	`conf`	From Objects to a Whole Painting. SMC Fei Wang, Baodi Liu, Weifeng Liu
2021	J	`jnl`	Hazy Re-ID: An Interference Suppression Model For Domain Adaptation Person Re-identification Under Inclement Weather Condition. CoRR Jian Pang, Dacheng Zhang, Huafeng Li, Weifeng Liu, Zhengtao Yu
2021	A	`conf`	Hazy Re-ID: An Interference Suppression Model for Domain Adaptation Person Re-Identification Under Inclement Weather Condition. ICME Jian Pang, Dacheng Zhang, Huafeng Li, Weifeng Liu, Zhengtao Yu
2021	J	`jnl`	Human activity recognition by manifold regularization based dynamic graph convolutional networks. Neurocomputing Weifeng Liu, Sichao Fu, Yicong Zhou, Zheng-Jun Zha, Liqiang Nie
2021	—	`conf`	Interference Distillation for Underwater Fish Recognition. ACPR (1) Jian Pang, Weifeng Liu, Baodi Liu, Dapeng Tao, Kai Zhang, Xiaoping Lu
2021	J	`jnl`	Learn from Object Counting: Crowd Counting with Meta-learning. IET Image Process. Changtong Zan, Baodi Liu, Weili Guan, Kai Zhang, Weifeng Liu
2021	—	`conf`	Leveraging GANs via Non-local Features. ICANN (2) Xuyang Peng, Weifeng Liu, Baodi Liu, Kai Zhang, Xiaoping Lu, Yicong Zhou
2021	B	`conf`	Linked Attention-Based Dynamic Graph Convolution Module for Point Cloud Classification. ICIP Xiaolong Lu, Baodi Liu, Weifeng Liu, Kai Zhang, Ye Li, Xiaoping Lu
2021	J	`jnl`	MDFM: Multi-Decision Fusing Model for Few-Shot Learning. CoRR Shuai Shao, Lei Xing, Rui Xu, Weifeng Liu, Yanjiang Wang, Bao-Di Liu
2021	J	`jnl`	MKEL: Multiple Kernel Ensemble Learning via Unified Ensemble Loss for Image Classification. ACM Trans. Intell. Syst. Technol. Xiangjun Shen, Kou Lu, Sumet Mehta, Jianming Zhang, Weifeng Liu, Jianping Fan, Zhengjun Zha
2021	J	`jnl`	PaintNet: A shape-constrained generative framework for generating clothing from fashion model. Multim. Tools Appl. Junyu Lin, Xuemeng Song, Tian Gan, Yiyang Yao, Weifeng Liu, Liqiang Nie
2021	—	`ch.`	Recent Advances of Manifold-based Graph Convolutional Networks for Remote Sensing Images Recognition. Generalization with Deep Learning Sichao Fu, Weifeng Liu
2021	J	`jnl`	Saliency-Guided Remote Sensing Image Super-Resolution. Remote. Sens. Baodi Liu, Lifei Zhao, Jiaoyue Li, Hengle Zhao, Weifeng Liu, Ye Li, Yanjiang Wang, Honglong Chen, Weijia Cao
2021	J	`jnl`	Semantic-Preserving Adversarial Text Attacks. CoRR Xinghao Yang, Weifeng Liu, James Bailey, Tianqing Zhu, Dacheng Tao, Wei Liu
2021	J	`jnl`	Semi-supervised classification by graph Inf. Sci. Sichao Fu, Weifeng Liu, Kai Zhang, Yicong Zhou, Dapeng Tao
2021	J	`jnl`	Targeted Attention Attack on Deep Learning Models in Road Sign Recognition. IEEE Internet Things J. Xinghao Yang, Weifeng Liu, Shengli Zhang, Wei Liu, Dacheng Tao
2021	J	`jnl`	Unified Cross-domain Classification via Geometric and Statistical Adaptations. Pattern Recognit. Weifeng Liu, Jinfeng Li, Bao-Di Liu, Weili Guan, Yicong Zhou, Changsheng Xu
2021	J	`jnl`	Urban Perception: Sensing Cities via a Deep Interactive Multi-task Learning Framework. ACM Trans. Multim. Comput. Commun. Appl. Weili Guan, Zhaozheng Chen, Fuli Feng, Weifeng Liu, Liqiang Nie
2020	J	`jnl`	Class specific or shared? A cascaded dictionary learning framework for image classification. Signal Process. Yanjiang Wang, Shuai Shao, Rui Xu, Weifeng Liu, Bao-Di Liu
2020	J	`jnl`	Domain Adaptation with Few Labeled Source Samples by Graph Regularization. Neural Process. Lett. Jinfeng Li, Weifeng Liu, Yicong Zhou, Dapeng Tao, Liqiang Nie
2020	J	`jnl`	HesGCN: Hessian graph convolutional networks for semi-supervised classification. Inf. Sci. Sichao Fu, Weifeng Liu, Dapeng Tao, Yicong Zhou, Liqiang Nie
2020	J	`jnl`	Label embedded dictionary learning for image classification. Neurocomputing Shuai Shao, Rui Xu, Weifeng Liu, Bao-Di Liu, Yanjiang Wang
2020	J	`jnl`	Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples. CoRR Jinfeng Li, Weifeng Liu, Yicong Zhou, Jun Yu, Dapeng Tao
2020	—	`conf`	Local structure alignment guided domain adaptation with few source samples. MMAsia Yuying Cai, Jinfeng Li, Bao-Di Liu, Weifeng Liu, Kai Zhang, Changsheng Xu
2020	J	`jnl`	Probabilistic Memory Model for Visual Images Categorization. Comput. Informatics Linxia Xiao, Yanjiang Wang, Baodi Liu, Weifeng Liu
2020	J	`jnl`	SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning. CoRR Shuai Shao, Rui Xu, Yanjiang Wang, Weifeng Liu, Bao-Di Liu
2020	J	`jnl`	Targeted Attention Attack on Deep Learning Models in Road Sign Recognition. CoRR Xinghao Yang, Weifeng Liu, Shengli Zhang, Wei Liu, Dacheng Tao
2020	J	`jnl`	Understanding the Relationship Between Human Brain Structure and Function by Predicting the Structural Connectivity From Functional Connectivity. IEEE Access Yanjiang Wang, Xue Chen, Bao-Di Liu, Weifeng Liu, Richard Martin Shiffrin
2019	J	`jnl`	$p$ -Laplacian Regularization for Scene Recognition. IEEE Trans. Cybern. Weifeng Liu, Xueqi Ma, Yicong Zhou, Dapeng Tao, Jun Cheng
2019	J	`jnl`	Advances in data representation and learning for pattern analysis. Neurocomputing C. L. Philip Chen, Xinge You, Xinbo Gao, Tongliang Liu, Fionn Murtagh, Weifeng Liu
2019	J	`jnl`	Effective human action recognition by combining manifold regularization and pairwise constraints. Multim. Tools Appl. Xueqi Ma, Dapeng Tao, Weifeng Liu
2019	J	`jnl`	Ensemble p-Laplacian Regularization for Scene Image Recognition. Cogn. Comput. Xueqi Ma, Weifeng Liu, Dapeng Tao, Yicong Zhou
2019	J	`jnl`	Hessian Regularized Distance Metric Learning for People Re-Identification. Neural Process. Lett. Guanhua Feng, Weifeng Liu, Dapeng Tao, Yicong Zhou
2019	J	`jnl`	Hessian-Regularized Multitask Dictionary Learning for Remote Sensing Image Recognition. IEEE Geosci. Remote. Sens. Lett. Guanhua Feng, Weifeng Liu, Shuying Li, Dapeng Tao, Yicong Zhou
2019	J	`jnl`	HpLapGCN: Hypergraph Neurocomputing Sichao Fu, Weifeng Liu, Yicong Zhou, Liqiang Nie
2019	J	`jnl`	Hypergraph $p$ -Laplacian Regularization for Remotely Sensed Image Recognition. IEEE Trans. Geosci. Remote. Sens. Xueqi Ma, Weifeng Liu, Shuying Li, Dapeng Tao, Yicong Zhou
2019	J	`jnl`	Label Embedded Dictionary Learning for Image Classification. CoRR Shuai Shao, Yanjiang Wang, Bao-Di Liu, Weifeng Liu
2019	J	`jnl`	Multiview Hessian Regularization for Image Annotation. CoRR Weifeng Liu, Dacheng Tao
2019	—	`conf`	Principal Component Analysis on Graph-Hessian. SSCI Yichen Pan, Yicong Zhou, Weifeng Liu, Liqiang Nie
2019	J	`jnl`	Two-order graph convolutional networks for semi-supervised classification. IET Image Process. Sichao Fu, Weifeng Liu, Shuying Li, Yicong Zhou
2018	J	`jnl`	Biological modeling of human visual system for object recognition using GLoP filters and sparse coding on multi-manifolds. Mach. Vis. Appl. Limiao Deng, Yanjiang Wang, Bao-Di Liu, Weifeng Liu, Yujuan Qi
2018	J	`jnl`	Color Transfer Pulse-Coupled Neural Networks for Underwater Robotic Visual Systems. IEEE Access Kangjian He, Ruxin Wang, Dapeng Tao, Jun Cheng, Weifeng Liu
2018	J	`jnl`	Data mining in human activity analysis. Signal Process. Xinmei Tian, Weifeng Liu, Fionn Murtagh
2018	J	`jnl`	Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition. CoRR Xueqi Ma, Weifeng Liu, Dapeng Tao, Yicong Zhou
2018	J	`jnl`	Hypergraph p-Laplacian Regularization for Remote Sensing Image Recognition. CoRR Xueqi Ma, Weifeng Liu, Shuying Li, Yicong Zhou
2018	J	`jnl`	Multiview dimension reduction via Hessian multiset canonical correlations. Inf. Fusion Weifeng Liu, Xinghao Yang, Dapeng Tao, Jun Cheng, Yuanyan Tang
2018	—	`conf`	Recognition of Working Condition in Sucker-Rod Pumping Wells Based on Multi-View Kernel Learning and Hessian-Regularized Logistic Regression. ICSPCC Bin Zhou, Yanjiang Wang, Weifeng Liu, Bao-Di Liu
2018	J	`jnl`	Reinforcement online learning for emotion prediction by using physiological signals. Pattern Recognit. Lett. Weifeng Liu, Lianbo Zhang, Dapeng Tao, Jun Cheng
2018	—	`conf`	The comparison of different graph convolutional neural networks for image recognition. ICIMCS Sichao Fu, Xinghao Yang, Weifeng Liu
2017	J	`jnl`	Canonical correlation analysis networks for two-view image recognition. Inf. Sci. Xinghao Yang, Weifeng Liu, Dapeng Tao, Jun Cheng
2017	J	`jnl`	Cauchy Estimator Discriminant Learning for RGB-D Sensor-based Scene Classification. Multim. Tools Appl. Dapeng Tao, Xipeng Yang, Weifeng Liu, Shuifa Sun, Yanan Guo, Ying Yu, Jianxin Pang
2017	J	`jnl`	Dictionary Learning-Based Hough Transform for Road Detection in Multispectral Image. IEEE Geosci. Remote. Sens. Lett. Weifeng Liu, Zhenqing Zhang, Xinghua Chen, Shuying Li, Yicong Zhou
2017	—	`conf`	Diversified shared latent structure based localization for blind persons. SPAC Yujin Wang, Dapeng Tao, Weifeng Liu
2017	J	`jnl`	LMAE: A large margin Auto-Encoders for classification. Signal Process. Weifeng Liu, Tengzhou Ma, Qiangsheng Xie, Dapeng Tao, Jun Cheng
2017	—	`conf`	Multiple Scale Canonical Correlation Analysis Networks for Two-View Object Recognition. ICONIP (1) Xinghao Yang, Weifeng Liu
2017	J	`jnl`	Multiview Canonical Correlation Analysis Networks for Remote Sensing Image Recognition. IEEE Geosci. Remote. Sens. Lett. Xinghao Yang, Weifeng Liu, Dapeng Tao, Jun Cheng, Shuying Li
2017	J	`jnl`	Multiview Cauchy Estimator Feature Embedding for Depth and Inertial Sensor-Based Human Action Recognition. IEEE Trans. Syst. Man Cybern. Syst. Yanan Guo, Dapeng Tao, Weifeng Liu, Jun Cheng
2017	—	`conf`	Online Laplacian-Regularized Support Vector Regression. CYBCONF Lianbo Zhang, Weifeng Liu
2017	J	`jnl`	Road Detection by Using a Generalized Hough Transform. Remote. Sens. Weifeng Liu, Zhenqing Zhang, Shuying Li, Dapeng Tao
2017	J	`jnl`	Sparse Canonicial Correlation Analysis for Mobile Media Recognition on the Cloud. J. Mobile Multimedia Yanjiang Wang, Bin Zhou, Weifeng Liu, Huimin Zhang
2017	J	`jnl`	Support vector machine active learning by Hessian regularization. J. Vis. Commun. Image Represent. Weifeng Liu, Lianbo Zhang, Dapeng Tao, Jun Cheng
2016	J	`jnl`	Big data meets multimedia analytics. Signal Process. Tat-Seng Chua, Xiangjian He, Weifeng Liu, Massimo Piccardi, Yonggang Wen, Dacheng Tao
2016	B	`conf`	Class specific dictionary learning based kernel collaborative representation for fine-grained image classification. SMC Xiaojie Feng, Yanjiang Wang, Bao-Di Liu, Weifeng Liu
2016	J	`jnl`	HSAE: A Hessian regularized sparse auto-encoders. Neurocomputing Weifeng Liu, Tengzhou Ma, Dapeng Tao, Jane You
2016	J	`jnl`	Hessian regularization by patch alignment framework. Neurocomputing Weifeng Liu, Hongli Liu, Dapeng Tao
2016	J	`jnl`	Large-scale paralleled sparse principal component analysis. Multim. Tools Appl. Weifeng Liu, Huimin Zhang, Dapeng Tao, Yanjiang Wang, Ke Lu
2016	—	`conf`	Local Structure Preserving Using Manifold Regularization and Pairwise Constraints for Action Recognition. ICDM Workshops Xueqi Ma, Zhengyang Cao, Weifeng Liu
2016	J	`jnl`	Manifold regularized kernel logistic regression for web image annotation. Neurocomputing Weifeng Liu, Hongli Liu, Dapeng Tao, Yanjiang Wang, Ke Lu
2016	—	`conf`	Semi-supervised Hessian Eigenmap for Human Action Recognition. IVS Xueqi Ma, Jiaxing Pan, Yue Wang, Weifeng Liu
2016	J	`jnl`	p-Laplacian Regularized Sparse Coding for Human Activity Recognition. IEEE Trans. Ind. Electron. Weifeng Liu, Zheng-Jun Zha, Yanjiang Wang, Ke Lu, Dacheng Tao
2015	J	`jnl`	A general framework for co-training and its applications. Neurocomputing Weifeng Liu, Yang Li, Dapeng Tao, Yanjiang Wang
2015	—	`conf`	Hessian Regularized Sparse Coding for Human Action Recognition. MMM (2) Weifeng Liu, Zhen Wang, Dapeng Tao, Jun Yu
2015	J	`jnl`	Multiview Hessian regularized logistic regression for action recognition. Signal Process. Weifeng Liu, Hongli Liu, Dapeng Tao, Yanjiang Wang, Ke Lu
2015	—	`conf`	Sparse canonical correlation analysis for recognition. ICIMCS Huimin Zhang, Weifeng Liu, Zheng-Jun Zha
2015	—	`conf`	Sparse principle motion component for one-shot gesture recognition. ICIMCS Xinghao Yang, Hongli Liu, Weifeng Liu, Zheng-Jun Zha
2014	B	`conf`	Class specific subspace learning for collaborative representation. SMC Bao-Di Liu, Bin Shen, Yu-Xiong Wang, Weifeng Liu, Yanjiang Wang
2014	—	`conf`	Co-regularization for classification. SPAC Yang Li, Dapeng Tao, Weifeng Liu, Yanjiang Wang
2014	—	`conf`	Laplacian regularized active learning for image segmentation. SPAC Lianbo Zhang, Dapeng Tao, Weifeng Liu
2014	—	`conf`	Laplacian-Hessian regularization for semi-supervised classification. SPAC Hongli Liu, Weifeng Liu, Dapeng Tao, Yanjiang Wang
2014	J	`jnl`	Multi-view Face Analysis Based on Gabor Features. CoRR Hongli Liu, Weifeng Liu, Yanjiang Wang
2014	J	`jnl`	Multiview Hessian discriminative sparse coding for image annotation. Comput. Vis. Image Underst. Weifeng Liu, Dacheng Tao, Jun Cheng, Yuan Yan Tang
2014	J	`jnl`	Multiview Hessian regularized logistic regression for action recognition. CoRR Weifeng Liu, Hongli Liu, Dapeng Tao, Yanjiang Wang, Ke Lu
2013	—	`conf`	Bio-inspired invariant visual feature representation based on K-SVD and SURF algorithms. ICIMCS Liying Jiang, Yanjiang Wang, Weifeng Liu
2013	—	`conf`	Detection of static salient objects based on visual attention and edge features. ICIMCS Hui Li, Yanjiang Wang, Weifeng Liu, Xiaomeng Wang
2013	J	`jnl`	Dictionary learning based image enhancement for rarity detection CoRR Weifeng Liu, Xiaomeng Wang, Yanjiang Wang
2013	B	`conf`	Discriminant Multi-component Face Analysis. SMC Hongli Liu, Weifeng Liu, Liping Dong, Yanjiang Wang
2013	—	`conf`	Facial expression recognition based on Hessian regularized support vector machine. ICIMCS Caifeng Song, Weifeng Liu, Yanjiang Wang
2013	J	`jnl`	Hessian Regularized Support Vector Machines for Mobile Image Annotation on the Cloud. IEEE Trans. Multim. Dapeng Tao, Lianwen Jin, Weifeng Liu, Xuelong Li
2013	J	`jnl`	Large-Scale Paralleled Sparse Principal Component Analysis. CoRR Weifeng Liu, Huimin Zhang, Dapeng Tao, Yanjiang Wang, Ke Lu
2013	J	`jnl`	Manifold regularized kernel logistic regression for web image annotation. CoRR Weifeng Liu, Hongli Liu, Dapeng Tao, Yanjiang Wang, Ke Lu
2013	J	`jnl`	Multiview Hessian Discriminative Sparse Coding for Image Annotation. CoRR Weifeng Liu, Dacheng Tao, Jun Cheng, Yuan Yan Tang
2013	J	`jnl`	Multiview Hessian Regularization for Image Annotation. IEEE Trans. Image Process. Weifeng Liu, Dacheng Tao
2013	—	`conf`	Object-of-interest extraction based on sparse coding. ICIMCS Xiaomeng Wang, Yanjiang Wang, Weifeng Liu, Hui Li
2013	B	`conf`	Self-Explanatory Convex Sparse Representation for Image Classification. SMC Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Yanjiang Wang, Weifeng Liu
2012	—	`conf`	Cellular Differentiation Algorithm for High Dimensional Numerical Function Optimization. ICMLA (1) Yanjiang Wang, Chengna Yuan, Weifeng Liu
2012	C	`conf`	Facial expression recognition based on Gabor features and sparse representation. ICARCV Weifeng Liu, Caifeng Song, Yanjiang Wang, Lu Jia
2012	B	`conf`	Facial expression recognition based on discriminative dictionary learning. ICPR Weifeng Liu, Caifeng Song, Yanjiang Wang
2012	—	`conf`	Laplacian support vector machines for medical diagnosis. ICCH Caifeng Song, Weifeng Liu, Yanjiang Wang
2012	—	`conf`	Subject-Independent Facial Expression Recognition with Biologically Inspired Features. ICMLA (1) Weifeng Liu, Caifeng Song, Yanjiang Wang
2009	—	`conf`	A Target Detection Algorithm Based on Histogram Feature and Particle Swarm. ICNC (3) Weifeng Liu, Yanjiang Wang
2006	—	`conf`	Facial Expression Recognition Based on Fusion of Multiple Gabor Features. ICPR (3) Weifeng Liu, Zengfu Wang