default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZhongfei Zhang
Zhongfei (Mark) Zhang
Person information
- affiliation: Binghamton University, Vestal, Department of Computer Science
- affiliation (former): Zhejiang University, Department of Information Science and Electronic Engineering, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j111]Zhongfei Zhang, Ting Qu, Kuo Zhao, Kai Zhang, Yongheng Zhang, Wenyou Guo, Lei Liu, Zefeng Chen:
Enhancing trusted synchronization in open production logistics: A platform framework integrating blockchain and digital twin under social manufacturing. Adv. Eng. Informatics 61: 102404 (2024)- [j110]Qiang Wang, Zhong Ji
, Yanwei Pang, Zhongfei Zhang:
Uncertainty-aware enhanced dark experience replay for continual learning. Appl. Intell. 54(13-14): 7135-7150 (2024) - [j109]Kuo Zhao, Huajian Zhang, Jiaxin Li, Qifu Pan, Li Lai, Yike Nie, Zhongfei Zhang:
Social Network Forensics Analysis Model Based on Network Representation Learning. Entropy 26(7): 579 (2024) - [j108]Kejie Lyu, Yingming Li, Zhongfei Zhang:
Dual-DIANet: A sharing-learnable multi-task network based on dense information aggregation. Neurocomputing 569: 127035 (2024) - [j107]Hao Chen, Yonghan Dong, Zheming Lu, Yunlong Yu, Yingming Li, Jungong Han, Zhongfei Zhang:
Dense affinity matching for Few-Shot Segmentation. Neurocomputing 577: 127348 (2024) - [j106]Mushui Liu, Yunlong Yu, Zhong Ji, Jungong Han, Zhongfei Zhang:
Tolerant Self-Distillation for image classification. Neural Networks 174: 106215 (2024) - [j105]Hao Chen, Yunlong Yu, Yonghan Dong, Zheming Lu, Yingming Li, Zhongfei Zhang:
Multi-Content Interaction Network for Few-Shot Segmentation. ACM Trans. Multim. Comput. Commun. Appl. 20(6): 177:1-177:20 (2024) - 2023
- [j104]Shen Han, Haitao Fu, Yuyang Wu, Ganglan Zhao, Zhenyu Song, Feng Huang, Zhongfei Zhang, Shichao Liu, Wen Zhang:
HimGNN: a novel hierarchical molecular graph representation learning framework for property prediction. Briefings Bioinform. 24(5) (2023) - [j103]Jiabao Cui, Liangli Zheng, Yunlong Yu, Yining Lin, Huajian Ni, Xin Xu, Zhongfei Zhang:
Deeply-Recursive Attention Network for video steganography. CAAI Trans. Intell. Technol. 8(4): 1507-1523 (2023) - [j102]Jürgen Dix, Zhongfei Zhang:
AI's 10 to Watch, 2022. IEEE Intell. Syst. 38(2): 3-14 (2023) - [j101]Lei Liu, Ting Qu, Matthias Thürer, Lin Ma, Zhongfei Zhang, Mingze Yuan:
A new knowledge-guided multi-objective optimisation for the multi-AGV dispatching problem in dynamic production environments. Int. J. Prod. Res. 61(17): 6030-6051 (2023) - [j100]Zhong Ji, Biying Cui, Yunlong Yu, Yanwei Pang, Zhongfei Zhang:
Zero-shot classification with unseen prototype learning. Neural Comput. Appl. 35(17): 12307-12317 (2023) - [j99]Yaodong Wang, Zhong Ji, Kexin Chen, Yanwei Pang, Zhongfei Zhang:
COREN: Multi-Modal Co-Occurrence Transformer Reasoning Network for Image-Text Retrieval. Neural Process. Lett. 55(5): 5959-5978 (2023) - [j98]Shichao Liu, Yang Zhang, Yuxin Cui, Yang Qiu, Yifan Deng, Zhongfei Zhang, Wen Zhang:
Enhancing Drug-Drug Interaction Prediction Using Deep Attention Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 976-985 (2023) - [j97]Zhong Ji, Jin Li, Qiang Wang, Zhongfei Zhang:
Complementary Calibration: Boosting General Continual Learning With Collaborative Distillation and Self-Supervision. IEEE Trans. Image Process. 32: 657-667 (2023) - [j96]Yunlong Yu, Bin Li, Zhong Ji, Jungong Han, Zhongfei Zhang:
Knowledge Distillation Classifier Generation Network for Zero-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 34(6): 3183-3194 (2023) - [c155]Zhankun Xiong, Shichao Liu, Feng Huang, Ziyan Wang, Xuan Liu, Zhongfei Zhang, Wen Zhang:
Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction. AAAI 2023: 5339-5347 - [c154]Shengyu Zhang, Yunze Tong, Kun Kuang, Fuli Feng, Jiezhong Qiu, Jin Yu, Zhou Zhao, Hongxia Yang, Zhongfei Zhang, Fei Wu:
Stable Prediction on Graphs with Agnostic Distribution Shifts. CDPD 2023: 49-74 - [c153]Dingyi Zhang, Yingming Li, Zhongfei Zhang:
Multi-Scale Similarity Aggregation for Dynamic Metric Learning. ACM Multimedia 2023: 125-134 - [i49]Hao Chen, Yunlong Yu, Yonghan Dong, Zheming Lu, Yingming Li, Zhongfei Zhang:
Multi-Context Interaction Network for Few-Shot Segmentation. CoRR abs/2303.06304 (2023) - [i48]Hao Chen, Yonghan Dong, Zheming Lu, Yunlong Yu, Yingming Li, Jungong Han, Zhongfei Zhang:
Dense Affinity Matching for Few-Shot Segmentation. CoRR abs/2307.08434 (2023) - 2022
- [j95]Yifan Deng, Yang Qiu, Xinran Xu, Shichao Liu, Zhongfei Zhang, Shanfeng Zhu, Wen Zhang:
META-DDIE: predicting drug-drug interaction events with few-shot learning. Briefings Bioinform. 23(1) (2022) - [j94]Kejie Lyu, Sicheng Pan, Yingming Li, Zhongfei Zhang:
JSENet: A deep convolutional neural network for joint image super-resolution and enhancement. Neurocomputing 489: 570-583 (2022) - [j93]Yunlong Yu, Dingyi Zhang, Sidi Wang, Zhong Ji, Zhongfei Zhang:
Local spatial alignment network for few-shot learning. Neurocomputing 497: 182-190 (2022) - [j92]Qiang Wang, Jiayi Liu, Zhong Ji, Yanwei Pang, Zhongfei Zhang:
Hierarchical Correlations Replay for Continual Learning. Knowl. Based Syst. 250: 109052 (2022) - [j91]Xiang Deng, Zhongfei Zhang:
Sparsity-control ternary weight networks. Neural Networks 145: 221-232 (2022) - [j90]Yingming Li, Baiyun Cui, Zhongfei Zhang:
Efficient Relational Sentence Ordering Network. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6169-6183 (2022) - [j89]Zhong Ji, Xuejie Yu, Yunlong Yu, Yanwei Pang, Zhongfei Zhang:
Semantic-Guided Class-Imbalance Learning Model for Zero-Shot Image Classification. IEEE Trans. Cybern. 52(7): 6543-6554 (2022) - [j88]Zhong Ji, Ping An, Xiyao Liu, Yanwei Pang, Ling Shao, Zhongfei Zhang:
Task-Oriented High-Order Context Graph Networks for Few-Shot Human-Object Interaction Recognition. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5443-5455 (2022) - [c152]Xiang Deng, Yun Xiao, Bo Long, Zhongfei Zhang:
Reducing Flipping Errors in Deep Neural Networks. AAAI 2022: 6506-6514 - [c151]Senqi Cao, Zhongfei Zhang:
Deep Hybrid Models for Out-of-Distribution Detection. CVPR 2022: 4723-4733 - [c150]Xiang Deng, Jian Zheng, Zhongfei Zhang:
Personalized Education: Blind Knowledge Distillation. ECCV (34) 2022: 269-285 - [c149]Hangyu Zhang, Yingming Li, Zhongfei Zhang:
Video-Grounded Dialogues with Joint Video and Image Training. ICIP 2022: 3903-3907 - [c148]Xiang Deng, Zhongfei Zhang:
Deep Causal Metric Learning. ICML 2022: 4993-5006 - [c147]Yunlong Yu, Dingyi Zhang, Yingming Li, Zhongfei Zhang:
Multi-Proxy Learning from an Entropy Optimization Perspective. IJCAI 2022: 1594-1600 - [c146]Hanqi Zhang, Yunlong Yu, Yingming Li, Zhongfei Zhang:
Training a Lightweight ViT Network for Image Retrieval. PRICAI (3) 2022: 240-250 - [i47]Xiang Deng, Yun Xiao, Bo Long, Zhongfei Zhang:
Reducing Flipping Errors in Deep Neural Networks. CoRR abs/2203.08390 (2022) - 2021
- [j87]Zhong Ji, Xingliang Chai, Yunlong Yu, Zhongfei Zhang:
Reweighting and information-guidance networks for Few-Shot Learning. Neurocomputing 423: 13-23 (2021) - [j86]Baiyun Cui, Yingming Li, Zhongfei Zhang:
Joint structured pruning and dense knowledge distillation for efficient transformer model compression. Neurocomputing 458: 56-69 (2021) - [j85]Zhong Ji, Jiayi Liu, Qiang Wang, Zhongfei Zhang:
Coordinating Experience Replay: A Harmonious Experience Retention approach for Continual Learning. Knowl. Based Syst. 234: 107589 (2021) - [j84]Yaqing Zhang, Xi Li, Zhongfei Zhang:
Efficient Person Search via Expert-Guided Knowledge Distillation. IEEE Trans. Cybern. 51(10): 5093-5104 (2021) - [j83]Bin Li, Jian Tian, Zhongfei Zhang, Hailin Feng, Xi Li:
Multitask Non-Autoregressive Model for Human Motion Prediction. IEEE Trans. Image Process. 30: 2562-2574 (2021) - [j82]Jun Song, Yueyang Wang, Siliang Tang, Yin Zhang, Zhigang Chen, Zhongfei Zhang, Tong Zhang, Fei Wu:
Local-Global Memory Neural Network for Medication Prediction. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1723-1736 (2021) - [c145]Xiang Deng, Zhongfei Zhang:
Learning with Retrospection. AAAI 2021: 7201-7209 - [c144]Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen:
CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation. CVPR 2021: 11465-11475 - [c143]Xiang Deng, Zhongfei Zhang:
Graph-Free Knowledge Distillation for Graph Neural Networks. IJCAI 2021: 2321-2327 - [c142]Xiang Deng, Zhongfei Zhang:
Comprehensive Knowledge Distillation with Causal Intervention. NeurIPS 2021: 22158-22170 - [i46]Xiang Deng, Zhongfei Zhang:
Graph-Free Knowledge Distillation for Graph Neural Networks. CoRR abs/2105.07519 (2021) - [i45]Xiyao Liu, Zhong Ji, Yanwei Pang, Zhongfei Zhang:
Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition. CoRR abs/2109.01302 (2021) - [i44]Zhong Ji, Jin Li, Qiang Wang, Zhongfei Zhang:
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision. CoRR abs/2109.02426 (2021) - [i43]Shengyu Zhang, Kun Kuang, Jiezhong Qiu, Jin Yu, Zhou Zhao, Hongxia Yang, Zhongfei Zhang, Fei Wu:
Stable Prediction on Graphs with Agnostic Distribution Shift. CoRR abs/2110.03865 (2021) - 2020
- [j81]Zhong Ji, Kexin Chen, Junyue Wang, Yunlong Yu, Zhongfei Zhang:
Multi-modal generative adversarial network for zero-shot learning. Knowl. Based Syst. 197: 105847 (2020) - [j80]Zhong Ji, Xingliang Chai, Yunlong Yu, Yanwei Pang, Zhongfei Zhang:
Improved prototypical networks for few-Shot learning. Pattern Recognit. Lett. 140: 81-87 (2020) - [j79]Kejie Lyu, Yingming Li, Zhongfei Zhang:
Attention-Aware Multi-Task Convolutional Neural Networks. IEEE Trans. Image Process. 29: 1867-1878 (2020) - [c141]Ziqian Lu, Yunlong Yu, Zhe-Ming Lu, Feng-Li Shen, Zhongfei Zhang:
Attentive Semantic Preservation Network for Zero-Shot Learning. CVPR Workshops 2020: 2919-2925 - [c140]Yunlong Yu, Zhong Ji, Jungong Han, Zhongfei Zhang:
Episode-Based Prototype Generating Network for Zero-Shot Learning. CVPR 2020: 14032-14041 - [c139]Tao Jin, Siyu Huang, Yingming Li, Zhongfei Zhang:
Dual Low-Rank Multimodal Fusion. EMNLP (Findings) 2020: 377-387 - [c138]Baiyun Cui, Yingming Li, Zhongfei Zhang:
BERT-enhanced Relational Sentence Ordering Network. EMNLP (1) 2020: 6310-6320 - [c137]Siyu Huang, Xi Li, Zhi-Qi Cheng, Zhongfei Zhang, Alexander G. Hauptmann:
Stacked Pooling for Boosting Scale Invariance of Crowd Counting. ICASSP 2020: 2578-2582 - [c136]Xiang Deng, Zhongfei (Mark) Zhang:
Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning? ICPR 2020: 150-157 - [c135]Tao Jin, Siyu Huang, Ming Chen, Yingming Li, Zhongfei Zhang:
SBAT: Video Captioning with Sparse Boundary-Aware Transformer. IJCAI 2020: 630-636 - [c134]Dingyi Zhang, Yingming Li, Zhongfei Zhang:
Deep Metric Learning with Spherical Embedding. NeurIPS 2020 - [e2]Geoffrey I. Webb, Zhongfei Zhang, Vincent S. Tseng, Graham Williams, Michalis Vlachos, Longbing Cao:
7th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2020, Sydney, Australia, October 6-9, 2020. IEEE 2020, ISBN 978-1-7281-8206-3 [contents] - [i42]Xiang Deng, Zhongfei Zhang:
Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning? CoRR abs/2002.12455 (2020) - [i41]Bin Li, Jian Tian, Zhongfei Zhang, Hailin Feng, Xi Li:
Multitask Non-Autoregressive Model for Human Motion Prediction. CoRR abs/2007.06426 (2020) - [i40]Tao Jin, Siyu Huang, Ming Chen, Yingming Li, Zhongfei Zhang:
SBAT: Video Captioning with Sparse Boundary-Aware Transformer. CoRR abs/2007.11888 (2020) - [i39]Xiang Deng, Zhongfei Zhang:
Deep Collective Learning: Learning Optimal Inputs and Weights Jointly in Deep Neural Networks. CoRR abs/2009.07988 (2020) - [i38]Xiang Deng, Zhongfei Zhang:
Locally Linear Region Knowledge Distillation. CoRR abs/2010.04812 (2020) - [i37]Xiang Deng, Zhongfei Zhang:
An Embarrassingly Simple Approach to Training Ternary Weight Networks. CoRR abs/2011.00580 (2020) - [i36]Dingyi Zhang, Yingming Li, Zhongfei Zhang:
Deep Metric Learning with Spherical Embedding. CoRR abs/2011.02785 (2020) - [i35]Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen:
Full-Resolution Correspondence Learning for Image Translation. CoRR abs/2012.02047 (2020) - [i34]Xiang Deng, Zhongfei Zhang:
Learning with Retrospection. CoRR abs/2012.13098 (2020)
2010 – 2019
- 2019
- [j78]Tao Jin, Yingming Li, Zhongfei Zhang:
Recurrent convolutional video captioning with global and local attention. Neurocomputing 370: 118-127 (2019) - [j77]Shengkang Yu, Xi Li, Xueyi Zhao, Zhongfei Zhang, Fei Wu, Jingdong Wang, Yueting Zhuang, Xuelong Li:
A Bilinear Ranking SVM for Knowledge Based Relation Prediction and Classification. IEEE Trans. Big Data 5(4): 588-600 (2019) - [j76]Yunlong Yu, Zhong Ji, Jichang Guo, Zhongfei Zhang:
Zero-Shot Learning via Latent Space Encoding. IEEE Trans. Cybern. 49(10): 3755-3766 (2019) - [j75]Siyu Huang, Xi Li, Zhongfei Zhang, Fei Wu, Junwei Han:
User-Ranking Video Summarization With Multi-Stage Spatio-Temporal Representation. IEEE Trans. Image Process. 28(6): 2654-2664 (2019) - [j74]Yingming Li, Ming Yang, Zhongfei Zhang:
A Survey of Multi-View Representation Learning. IEEE Trans. Knowl. Data Eng. 31(10): 1863-1883 (2019) - [c133]Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren:
Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction. AAAI 2019: 419-426 - [c132]Bin Li, Xi Li, Zhongfei Zhang, Fei Wu:
Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition. AAAI 2019: 8561-8568 - [c131]Yaqing Zhang, Xi Li, Zhongfei Zhang:
Learning a Key-Value Memory Co-Attention Matching Network for Person Re-Identification. AAAI 2019: 9235-9242 - [c130]Xingran Zhou, Siyu Huang, Bin Li, Yingming Li, Jiachen Li, Zhongfei Zhang:
Text Guided Person Image Synthesis. CVPR 2019: 3663-3672 - [c129]Tao Jin, Siyu Huang, Yingming Li, Zhongfei Zhang:
Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning. EMNLP/IJCNLP (1) 2019: 2001-2011 - [c128]Baiyun Cui, Yingming Li, Ming Chen, Zhongfei Zhang:
Fine-tune BERT with Sparse Self-Attention Mechanism. EMNLP/IJCNLP (1) 2019: 3546-3551 - [c127]Shichao Liu, Shuangfei Zhai, Lida Zhu, Fuxi Zhu, Zhongfei (Mark) Zhang, Wen Zhang:
Efficient Network Representations Learning: An Edge-Centric Perspective. KSEM (2) 2019: 373-388 - [e1]Abdulmotaleb El-Saddik, Alberto Del Bimbo, Zhongfei Zhang, Alexander G. Hauptmann, K. Selçuk Candan, Marco Bertini, Lexing Xie, Xiao-Yong Wei:
Proceedings of the 2019 on International Conference on Multimedia Retrieval, ICMR 2019, Ottawa, ON, Canada, June 10-13, 2019. ACM 2019, ISBN 978-1-4503-6765-3 [contents] - [i33]Xingran Zhou, Siyu Huang, Bin Li, Yingming Li, Jiachen Li, Zhongfei Zhang:
Text Guided Person Image Synthesis. CoRR abs/1904.05118 (2019) - [i32]Zhong Ji, Xuejie Yu, Yunlong Yu, Yanwei Pang, Zhongfei Zhang:
A Semantics-Guided Class Imbalance Learning Model for Zero-Shot Classification. CoRR abs/1908.09745 (2019) - [i31]Yunlong Yu, Zhongfei Zhang, Jungong Han:
Meta-Transfer Networks for Zero-Shot Learning. CoRR abs/1909.03360 (2019) - [i30]Tao Jin, Siyu Huang, Yingming Li, Zhongfei Zhang:
Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning. CoRR abs/1911.00212 (2019) - 2018
- [j73]Yueting Zhuang, Jun Song, Fei Wu, Xi Li, Zhongfei Zhang, Yong Rui:
Multimodal Deep Embedding via Hierarchical Grounded Compositional Semantics. IEEE Trans. Circuits Syst. Video Technol. 28(1): 76-89 (2018) - [j72]Yunlong Yu, Zhong Ji, Xi Li, Jichang Guo, Zhongfei Zhang, Haibin Ling, Fei Wu:
Transductive Zero-Shot Learning With a Self-Training Dictionary Approach. IEEE Trans. Cybern. 48(10): 2908-2919 (2018) - [j71]Siyu Huang, Xi Li, Zhongfei Zhang, Fei Wu, Shenghua Gao, Rongrong Ji, Junwei Han:
Body Structure Aware Deep Crowd Counting. IEEE Trans. Image Process. 27(3): 1049-1059 (2018) - [j70]Jiangtao Yin, Lixin Gao, Zhongfei Zhang:
Scalable Distributed Nonnegative Matrix Factorization with Block-Wise Updates. IEEE Trans. Knowl. Data Eng. 30(6): 1136-1149 (2018) - [j69]Zhongang Qi, Tianchun Wang, Guojie Song, Weisong Hu, Xi Li, Zhongfei Zhang:
Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-Grained Air Quality. IEEE Trans. Knowl. Data Eng. 30(12): 2285-2297 (2018) - [c126]Yingming Li, Zenglin Xu, Zhongfei Zhang:
Learning With Incomplete Labels. AAAI 2018: 3588-3595 - [c125]Chaojie Mao, Yingming Li, Yaqing Zhang, Zhongfei Zhang, Xi Li:
Multi-Channel Pyramid Person Matching Network for Person Re-Identification. AAAI 2018: 7243-7250 - [c124]Jiajiong Cao, Yingming Li, Xi Li, Zhongfei Zhang:
FR-ANet: A Face Recognition Guided Facial Attribute Classification Network. AAAI 2018: 8057-8058 - [c123]Ming Chen, Yingming Li, Zhongfei Zhang, Siyu Huang:
TVT: Two-View Transformer Network for Video Captioning. ACML 2018: 847-862 - [c122]Zeshang Zhang, Yingming Li, Zhongfei Zhang:
Relative Attribute Learning with Deep Attentive Cross-image Representation. ACML 2018: 879-892 - [c121]Jiajiong Cao, Yingming Li, Zhongfei Zhang:
Partially Shared Multi-Task Convolutional Neural Network With Local Constraint for Face Attribute Learning. CVPR 2018: 4290-4299 - [c120]Baiyun Cui, Yingming Li, Ming Chen, Zhongfei Zhang:
Deep Attentive Sentence Ordering Network. EMNLP 2018: 4340-4349 - [c119]Jiajiong Cao, Yingming Li, Zhongfei Zhang:
Celeb-500K: A Large Training Dataset for Face Recognition. ICIP 2018: 2406-2410 - [c118]Zachary Seymour, Zhongfei (Mark) Zhang:
Image Annotation Retrieval with Text-Domain Label Denoising. ICMR 2018: 240-248 - [c117]Zachary Seymour, Zhongfei (Mark) Zhang:
Multi-label Triplet Embeddings for Image Annotation from User-Generated Tags. ICMR 2018: 249-256 - [c116]Siyu Huang, Xi Li, Zhiqi Cheng, Zhongfei Zhang, Alexander G. Hauptmann:
GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning. ACM Multimedia 2018: 2049-2057 - [c115]Yunlong Yu, Zhong Ji, Yanwei Fu, Jichang Guo, Yanwei Pang, Zhongfei (Mark) Zhang:
Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot Learning. NeurIPS 2018: 5998-6007 - [i29]Chaojie Mao, Yingming Li, Zhongfei Zhang, Yaqing Zhang, Xi Li:
Pyramid Person Matching Network for Person Re-identification. CoRR abs/1803.02547 (2018) - [i28]Chaojie Mao, Yingming Li, Yaqing Zhang, Zhongfei Zhang, Xi Li:
Multi-Channel Pyramid Person Matching Network for Person Re-Identification. CoRR abs/1803.02558 (2018) - [i27]Siyu Huang, Xi Li, Zhiqi Cheng, Zhongfei Zhang, Alexander G. Hauptmann:
GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning. CoRR abs/1804.06964 (2018) - [i26]Yunlong Yu, Zhong Ji, Yanwei Fu, Jichang Guo, Yanwei Pang, Zhongfei Zhang:
Stacked Semantic-Guided Attention Model for Fine-Grained Zero-Shot Learning. CoRR abs/1805.08113 (2018) - [i25]Siyu Huang, Xi Li, Zhiqi Cheng, Zhongfei Zhang, Alexander G. Hauptmann:
Stacked Pooling: Improving Crowd Counting by Boosting Scale Invariance. CoRR abs/1808.07456 (2018) - [i24]Yunlong Yu, Zhong Ji, Yanwei Pang, Jichang Guo, Zhongfei Zhang, Fei Wu:
Bi-Adversarial Auto-Encoder for Zero-Shot Learning. CoRR abs/1811.08103 (2018) - [i23]Siyu Huang, Zhi-Qi Cheng, Xi Li, Xiao Wu, Zhongfei Zhang, Alexander G. Hauptmann:
Perceiving Physical Equation by Observing Visual Scenarios. CoRR abs/1811.12238 (2018) - [i22]Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren:
Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction. CoRR abs/1812.10604 (2018) - 2017
- [j68]Zhong Ji, Yunlong Yu, Yanwei Pang, Jichang Guo, Zhongfei Zhang:
Manifold regularized cross-modal embedding for zero-shot learning. Inf. Sci. 378: 48-58 (2017) - [j67]Shengkang Yu, Xueyi Zhao, Xi Li, Zhongfei Zhang:
Joint entity-relation knowledge embedding via cost-sensitive learning. Frontiers Inf. Technol. Electron. Eng. 18(11): 1867-1873 (2017) - [j66]Zhong Ji, Yunlong Yu, Yanwei Pang, Lei Chen, Zhongfei Zhang:
Zero-shot learning with Multi-Battery Factor Analysis. Signal Process. 138: 265-272 (2017) - [j65]Zhouzhou He, Xi Li, Zhongfei Zhang, Fei Wu, Xin Geng, Yaqing Zhang, Ming-Hsuan Yang, Yueting Zhuang:
Data-Dependent Label Distribution Learning for Age Estimation. IEEE Trans. Image Process. 26(8): 3846-3858 (2017) - [j64]Yueting Zhuang, Hanqi Wang, Jun Xiao, Fei Wu, Yi Yang, Weiming Lu, Zhongfei Zhang:
Bag-of-Discriminative-Words (BoDW) Representation via Topic Modeling. IEEE Trans. Knowl. Data Eng. 29(5): 977-990 (2017) - [j63]Jun Song, Jun Xiao, Fei Wu, Haishan Wu, Tong Zhang, Zhongfei (Mark) Zhang, Wenwu Zhu:
Hierarchical Contextual Attention Recurrent Neural Network for Map Query Suggestion. IEEE Trans. Knowl. Data Eng. 29(9): 1888-1901 (2017) - [j62]Xi Li, Te Pi, Zhongfei Zhang, Xueyi Zhao, Meng Wang, Xuelong Li, Philip S. Yu:
Learning Bregman Distance Functions for Structural Learning to Rank. IEEE Trans. Knowl. Data Eng. 29(9): 1916-1927 (2017) - [c114]Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang:
Learning with Feature Network and Label Network Simultaneously. AAAI 2017: 1410-1416 - [c113]Nana Li, Shuangfei Zhai, Zhongfei Zhang, Boying Liu:
Structural Correspondence Learning for Cross-Lingual Sentiment Classification with One-to-Many Mappings. AAAI 2017: 3490-3496 - [c112]Chaojie Mao, Yingming Li, Zhongfei Zhang, Yaqing Zhang, Xi Li:
Pyramid Person Matching Network for Person Re-identification. ACML 2017: 487-497 - [c111]Baiyun Cui, Yingming Li, Yaqing Zhang, Zhongfei Zhang:
Text Coherence Analysis Based on Deep Neural Network. CIKM 2017: 2027-2030 - [c110]Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogério Schmidt Feris:
S3Pool: Pooling with Stochastic Spatial Sampling. CVPR 2017: 4003-4011 - [c109]Te Pi, Xi Li, Zhongfei (Mark) Zhang:
Boosted Zero-Shot Learning with Semantic Correlation Regularization. IJCAI 2017: 2599-2605 - [c108]Guofu Luo, Zhongfei Zhang, Dayuan Wu, Xiaoke Li, Geng Liu:
Research on optimization allocation of manufacturing resource services in the cloud environment. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - [i21]Yunlong Yu, Zhong Ji, Xi Li, Jichang Guo, Zhongfei Zhang, Haibin Ling, Fei Wu:
Transductive Zero-Shot Learning with a Self-training dictionary approach. CoRR abs/1703.08893 (2017) - [i20]Te Pi, Xi Li, Zhongfei Zhang:
Boosted Zero-Shot Learning with Semantic Correlation Regularization. CoRR abs/1707.08008 (2017) - [i19]Baiyun Cui, Yingming Li, Yaqing Zhang, Zhongfei Zhang:
Text Coherence Analysis Based on Deep Neural Network. CoRR abs/1710.07770 (2017) - [i18]Zhongang Qi, Tianchun Wang, Guojie Song, Weisong Hu, Xi Li, Zhongfei Zhang:
Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-grained Air Quality. CoRR abs/1711.00939 (2017) - [i17]Chen Zheng, Shuangfei Zhai, Zhongfei Zhang:
A Deep Learning Approach for Expert Identification in Question Answering Communities. CoRR abs/1711.05350 (2017) - [i16]Yunlong Yu, Zhong Ji, Jichang Guo, Zhongfei Zhang:
Zero-Shot Learning via Latent Space Encoding. CoRR abs/1712.09300 (2017) - 2016
- [j61]Jun Song, Siliang Tang, Jun Xiao, Fei Wu, Zhongfei (Mark) Zhang:
LSTM-in-LSTM for generating long descriptions of images. Comput. Vis. Media 2(4): 379-388 (2016) - [j60]Peiguang Jing, Zhong Ji, Yunlong Yu, Zhongfei Zhang:
Visual search reranking with RElevant Local Discriminant Analysis. Neurocomputing 173: 172-180 (2016) - [j59]Xi Li, Chunhua Shen, Anthony R. Dick, Zhongfei (Mark) Zhang, Yueting Zhuang:
Online Metric-Weighted Linear Representations for Robust Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 38(5): 931-950 (2016) - [j58]Zhouzhou He, Xi Li, Zhongfei Zhang, Yaqing Zhang, Jun Xiao, Xue Zhou:
Structure-Aware Slow Feature Analysis for Age Estimation. IEEE Signal Process. Lett. 23(12): 1702-1706 (2016) - [j57]Xi Li, Xueyi Zhao, Zhongfei Zhang, Fei Wu, Yueting Zhuang, Jingdong Wang, Xuelong Li:
Joint Multilabel Classification With Community-Aware Label Graph Learning. IEEE Trans. Image Process. 25(1): 484-493 (2016) - [j56]Fei Wu, Xinyan Lu, Jun Song, Shuicheng Yan, Zhongfei (Mark) Zhang, Yong Rui, Yueting Zhuang:
Learning of Multimodal Representations With Random Walks on the Click Graph. IEEE Trans. Image Process. 25(2): 630-642 (2016) - [j55]Siyu Huang, Xi Li, Zhongfei Zhang, Zhouzhou He, Fei Wu, Wei Liu, Jinhui Tang, Yueting Zhuang:
Deep Learning Driven Visual Path Prediction From a Single Image. IEEE Trans. Image Process. 25(12): 5892-5904 (2016) - [j54]Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Christos Faloutsos:
Multimodal Data Mining in a Multimedia Database Based on Structured Max Margin Learning. ACM Trans. Knowl. Discov. Data 10(3): 23:1-23:30 (2016) - [j53]Yingming Li, Ming Yang, Zhongang Qi, Zhongfei (Mark) Zhang:
Bayesian Multi-Task Relationship Learning with Link Structure. IEEE Trans. Knowl. Data Eng. 28(4): 873-887 (2016) - [j52]Xueyi Zhao, Xi Li, Zhongfei Zhang, Chunhua Shen, Yueting Zhuang, Lixin Gao, Xuelong Li:
Scalable Linear Visual Feature Learning via Online Parallel Nonnegative Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2628-2642 (2016) - [c107]Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang:
Learning with Marginalized Corrupted Features and Labels Together. AAAI 2016: 1251-1257 - [c106]Shuangfei Zhai, Zhongfei (Mark) Zhang:
Semisupervised Autoencoder for Sentiment Analysis. AAAI 2016: 1394-1400 - [c105]Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang:
Deep Structured Energy Based Models for Anomaly Detection. ICML 2016: 1100-1109 - [c104]Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang:
Multi-View Learning with Limited and Noisy Tagging. IJCAI 2016: 1718-1724 - [c103]Te Pi, Xi Li, Zhongfei Zhang, Deyu Meng, Fei Wu, Jun Xiao, Yueting Zhuang:
Self-Paced Boost Learning for Classification. IJCAI 2016: 1932-1938 - [c102]Yaqing Zhang, Xi Li, Liming Zhao, Zhongfei Zhang:
Semantics-Aware Deep Correspondence Structure Learning for Robust Person Re-Identification. IJCAI 2016: 3545-3551 - [c101]Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei (Mark) Zhang:
DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks. KDD 2016: 1295-1304 - [c100]Shuangfei Zhai, Yu Cheng, Zhongfei (Mark) Zhang, Weining Lu:
Doubly Convolutional Neural Networks. NIPS 2016: 1082-1090 - [c99]Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei Zhang:
Attention Based Recurrent Neural Networks for Online Advertising. WWW (Companion Volume) 2016: 141-142 - [i15]Siyu Huang, Xi Li, Zhongfei (Mark) Zhang, Zhouzhou He, Fei Wu, Wei Liu, Jinhui Tang, Yueting Zhuang:
Deep Learning Driven Visual Path Prediction from a Single Image. CoRR abs/1601.07265 (2016) - [i14]Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang:
Deep Structured Energy Based Models for Anomaly Detection. CoRR abs/1605.07717 (2016) - [i13]Zhong Ji, Yuzhong Xie, Yanwei Pang, Lei Chen, Zhongfei Zhang:
Zero-Shot Learning with Multi-Battery Factor Analysis. CoRR abs/1606.09349 (2016) - [i12]Yingming Li, Ming Yang, Zhongfei Zhang:
Multi-View Representation Learning: A Survey from Shallow Methods to Deep Methods. CoRR abs/1610.01206 (2016) - [i11]Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang:
Doubly Convolutional Neural Networks. CoRR abs/1610.09716 (2016) - [i10]Shuangfei Zhai, Yu Cheng, Rogério Schmidt Feris, Zhongfei Zhang:
Generative Adversarial Networks as Variational Training of Energy Based Models. CoRR abs/1611.01799 (2016) - [i9]Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogério Schmidt Feris:
S3Pool: Pooling with Stochastic Spatial Sampling. CoRR abs/1611.05138 (2016) - [i8]Nana Li, Shuangfei Zhai, Zhongfei Zhang, Boying Liu:
Structural Correspondence Learning for Cross-lingual Sentiment Classification with One-to-many Mappings. CoRR abs/1611.08737 (2016) - 2015
- [j51]Xueyi Zhao, Chenyi Zhang, Zhongfei Zhang:
Distributed cross-media multiple binary subspace learning. Int. J. Multim. Inf. Retr. 4(2): 153-164 (2015) - [j50]Yaqing Zhang, Xi Li, Zhongfei (Mark) Zhang, Fei Wu, Liming Zhao:
Deep learning driven blockwise moving object detection with binary scene modeling. Neurocomputing 168: 454-463 (2015) - [j49]Shengkang Yu, Xi Li, Xueyi Zhao, Zhongfei Zhang, Fei Wu:
Tracking news article evolution by dense subgraph learning. Neurocomputing 168: 1076-1084 (2015) - [j48]Zhouzhou He, Zhongfei Zhang, Chun-Ming Chen, Zheng-Gang Wang:
E-commerce business model mining and prediction. Frontiers Inf. Technol. Electron. Eng. 16(9): 707-719 (2015) - [j47]Xueyi Zhao, Xi Li, Zhongfei (Mark) Zhang:
Multimedia Retrieval via Deep Learning to Rank. IEEE Signal Process. Lett. 22(9): 1487-1491 (2015) - [j46]Fei Wu, Zhuhao Wang, Zhongfei Zhang, Yi Yang, Jiebo Luo, Wenwu Zhu, Yueting Zhuang:
Weakly Semi-Supervised Deep Learning for Multi-Label Image Annotation. IEEE Trans. Big Data 1(3): 109-122 (2015) - [j45]Fei Wu, Xinyang Jiang, Xi Li, Siliang Tang, Weiming Lu, Zhongfei Zhang, Yueting Zhuang:
Cross-Modal Learning to Rank via Latent Joint Representation. IEEE Trans. Image Process. 24(5): 1497-1509 (2015) - [j44]Yueting Zhuang, Haidong Gao, Fei Wu, Siliang Tang, Yin Zhang, Zhongfei (Mark) Zhang:
Probabilistic Word Selection via Topic Modeling. IEEE Trans. Knowl. Data Eng. 27(6): 1643-1655 (2015) - [j43]Xueyi Zhao, Xi Li, Zhongfei Zhang:
Joint Structural Learning to Rank with Deep Linear Feature Learning. IEEE Trans. Knowl. Data Eng. 27(10): 2756-2769 (2015) - [c98]Fei Wu, Jun Song, Yi Yang, Xi Li, Zhongfei (Mark) Zhang, Yueting Zhuang:
Structured Embedding via Pairwise Relations and Long-Range Interactions in Knowledge Base. AAAI 2015: 1663-1670 - [c97]Yi Xu, Zhongfei (Mark) Zhang, Yaqing Zhang, Philip S. Yu:
Sensor network partitioning based on homogeneity. DSAA 2015: 1-10 - [c96]Yi Xu, Yilin Zhu, Zhongfei Zhang, Yaqing Zhang, Philip S. Yu:
Convex Approximation to the Integral Mixture Models Using Step Functions. ICDM 2015: 479-488 - [c95]Siliang Tang, Fei Wu, Si Li, Weiming Lu, Zhongfei Zhang, Yueting Zhuang:
Sketch the Storyline with CHARCOAL: A Non-Parametric Approach. IJCAI 2015: 3841-3848 - [c94]Zhong Ji, Yunlong Yu, Yanwei Pang, Yingming Li, Zhongfei Zhang:
Marginal Fisher Regression Classification for Face Recognition. PCM (1) 2015: 453-462 - [c93]Shuangfei Zhai, Zhongfei (Mark) Zhang:
Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs. SDM 2015: 451-459 - [i7]Xi Li, Chunhua Shen, Anthony R. Dick, Zhongfei (Mark) Zhang, Yueting Zhuang:
Online Metric-Weighted Linear Representations for Robust Visual Tracking. CoRR abs/1507.05737 (2015) - [i6]Zachary Seymour, Yingming Li, Zhongfei (Mark) Zhang:
Multimodal Skipgram Using Convolutional Pseudowords. CoRR abs/1511.04024 (2015) - [i5]Shuangfei Zhai, Zhongfei Zhang:
Manifold Regularized Discriminative Neural Networks. CoRR abs/1511.06328 (2015) - [i4]Shuangfei Zhai, Zhongfei Zhang:
Semisupervised Autoencoder for Sentiment Analysis. CoRR abs/1512.04466 (2015) - [i3]Shuangfei Zhai, Zhongfei Zhang:
Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs. CoRR abs/1512.04483 (2015) - 2014
- [j42]Zhongfei Zhang, Yueting Zhuang, Ramesh C. Jain, Jia-Yu Pan:
Editorial of the special issue on cross-media analysis. Int. J. Multim. Inf. Retr. 3(3): 129-130 (2014) - [j41]Ming Yang, Yingming Li, Zhongfei (Mark) Zhang:
Scientific articles recommendation with topic regression and relational matrix factorization. J. Zhejiang Univ. Sci. C 15(11): 984-998 (2014) - [j40]Mingyu Fan, Xiaoqin Zhang, Zhouchen Lin, Zhongfei Zhang, Hujun Bao:
A Regularized Approach for Geodesic-Based Semisupervised Multimanifold Learning. IEEE Trans. Image Process. 23(5): 2133-2147 (2014) - [j39]Zhen Guo, Zhongfei (Mark) Zhang, Shenghuo Zhu, Yun Chi, Yihong Gong:
A Two-Level Topic Model Towards Knowledge Discovery from Citation Networks. IEEE Trans. Knowl. Data Eng. 26(4): 780-794 (2014) - [j38]Xi Li, Weiming Hu, Chunhua Shen, Anthony R. Dick, Zhongfei (Mark) Zhang:
Context-Aware Hypergraph Construction for Robust Spectral Clustering. IEEE Trans. Knowl. Data Eng. 26(10): 2588-2597 (2014) - [c92]Te Pi, Xi Li, Zhongfei Zhang:
Structural Bregman Distance Functions Learning to Rank with Self-Reinforcement. ICDM 2014: 500-509 - [c91]Xueyi Zhao, Chenyi Zhang, Zhongfei Zhang:
Distributed Binary Subspace Learning on large-scale cross media data. ICME 2014: 1-6 - [c90]Zheng Fang, Zhongfei Zhang:
Cross Domain Shared Subspace Learning for Unsupervised Transfer Classification. ICPR 2014: 3927-3932 - [c89]Jiangtao Yin, Lixin Gao, Zhongfei (Mark) Zhang:
Scalable Nonnegative Matrix Factorization with Block-wise Updates. ECML/PKDD (3) 2014: 337-352 - [i2]Xi Li, Weiming Hu, Chunhua Shen, Anthony R. Dick, Zhongfei Zhang:
Context-Aware Hypergraph Construction for Robust Spectral Clustering. CoRR abs/1401.0764 (2014) - 2013
- [j37]Weiming Hu, Xi Li, Guodong Tian, Stephen J. Maybank, Zhongfei Zhang:
An Incremental DPMM-Based Method for Trajectory Clustering, Modeling, and Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 35(5): 1051-1065 (2013) - [j36]Xi Li, Anthony R. Dick, Chunhua Shen, Zhongfei Zhang, Anton van den Hengel, Hanzi Wang:
Visual Tracking With Spatio-Temporal Dempster-Shafer Information Fusion. IEEE Trans. Image Process. 22(8): 3028-3040 (2013) - [j35]Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony R. Dick, Anton van den Hengel:
A survey of appearance models in visual object tracking. ACM Trans. Intell. Syst. Technol. 4(4): 58:1-58:48 (2013) - [c88]Yingming Li, Ming Yang, Zhongfei Zhang:
Coordinate Ranking Regularized Non-negative Matrix Factorization. ACPR 2013: 215-219 - [c87]Yingming Li, Ming Yang, Zhongfei (Mark) Zhang:
Scientific articles recommendation. CIKM 2013: 1147-1156 - [c86]Zheng Fang, Zhongfei (Mark) Zhang:
Discriminative feature selection for multi-view cross-domain learning. CIKM 2013: 1321-1330 - [c85]Yingming Li, Ming Yang, Zhongang Qi, Zhongfei (Mark) Zhang:
Bayesian Multi-Task Relationship Learning with Link Structure. ICDM 2013: 1115-1120 - [c84]Ming Yang, Yingming Li, Zhongfei Zhang:
Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model. ICML (3) 2013: 423-431 - [c83]Fei Wu, Xinyan Lu, Zhongfei Zhang, Shuicheng Yan, Yong Rui, Yueting Zhuang:
Cross-media semantic representation via bi-directional learning to rank. ACM Multimedia 2013: 877-886 - [c82]Yingming Li, Zhongang Qi, Zhongfei (Mark) Zhang, Ming Yang:
Learning with limited and noisy tagging. ACM Multimedia 2013: 957-966 - [c81]Zheng Fang, Zhongfei Zhang:
Discriminative Transfer Learning on Manifold. SDM 2013: 539-547 - [c80]Xinyan Lu, Fei Wu, Siliang Tang, Zhongfei Zhang, Xiaofei He, Yueting Zhuang:
A low rank structural large margin method for cross-modal ranking. SIGIR 2013: 433-442 - [i1]Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony R. Dick, Anton van den Hengel:
A Survey of Appearance Models in Visual Object Tracking. CoRR abs/1303.4803 (2013) - 2012
- [j34]Fei Wu, Yahong Han, Xiang Liu, Jian Shao, Yueting Zhuang, Zhongfei Zhang:
The heterogeneous feature selection with structural sparsity for multimedia annotation and hashing: a survey. Int. J. Multim. Inf. Retr. 1(1): 3-15 (2012) - [j33]Zhongfei (Mark) Zhang, Zhengyou Zhang, Ramesh C. Jain, Yueting Zhuang:
Guest Editors' Introduction: Special Section on Connected Multimedia. J. Multim. 7(1): 1 (2012) - [j32]Zhouzhou He, Zhongfei (Mark) Zhang, Philip S. Yu:
Overlapping community detection combining content and link. J. Zhejiang Univ. Sci. C 13(11): 828-839 (2012) - [j31]Zhongfei Zhang, Zhengyou Zhang, Ramesh C. Jain, Yueting Zhuang, Noshir S. Contractor, Alexander G. Hauptmann, Alejandro Jaimes, Wanqing Li, Alexander C. Loui, Tao Mei, Nicu Sebe, Yonghong Tian, Vincent S. Tseng, Qing Wang, Changsheng Xu, Huimin Yu, Shiwen Yu:
Societally connected multimedia across cultures. J. Zhejiang Univ. Sci. C 13(12): 875-880 (2012) - [j30]Weiming Hu, Xi Li, Wenhan Luo, Xiaoqin Zhang, Stephen J. Maybank, Zhongfei Zhang:
Single and Multiple Object Tracking Using Log-Euclidean Riemannian Subspace and Block-Division Appearance Model. IEEE Trans. Pattern Anal. Mach. Intell. 34(12): 2420-2440 (2012) - [j29]Tianbing Xu, Zhongfei Zhang, Philip S. Yu, Bo Long:
Generative Models for Evolutionary Clustering. ACM Trans. Knowl. Discov. Data 6(2): 7:1-7:27 (2012) - [c79]Zhongang Qi, Ming Yang, Zhongfei (Mark) Zhang, Zhengyou Zhang:
Mining noisy tagging from multi-label space. CIKM 2012: 1925-1929 - [c78]Mingyu Fan, Xiaoqin Zhang, Zhouchen Lin, Zhongfei Zhang, Hujun Bao:
Geodesic Based Semi-supervised Multi-manifold Feature Extraction. ICDM 2012: 852-857 - [c77]Zheng Fang, Zhongfei (Mark) Zhang:
Simultaneously Combining Multi-view Multi-label Learning with Maximum Margin Classification. ICDM 2012: 864-869 - [c76]Zhongang Qi, Ming Yang, Zhongfei (Mark) Zhang, Zhengyou Zhang:
Multi-view learning from imperfect tagging. ACM Multimedia 2012: 479-488 - [c75]Jun Gao, Weiming Hu, Zhongfei (Mark) Zhang, Ou Wu:
Unsupervised Ensemble Learning for Mining Top-n Outliers. PAKDD (1) 2012: 418-430 - 2011
- [j28]Weiming Hu, Xi Li, Xiaoqin Zhang, Xinchu Shi, Stephen J. Maybank, Zhongfei Zhang:
Incremental Tensor Subspace Learning and Its Applications to Foreground Segmentation and Tracking. Int. J. Comput. Vis. 91(3): 303-327 (2011) - [j27]Weiming Hu, Haiqiang Zuo, Ou Wu, Yunfei Chen, Zhongfei Zhang, David Suter:
Recognition of adult images, videos, and web page bags. ACM Trans. Multim. Comput. Commun. Appl. 7(Supplement): 28 (2011) - [c74]Yi Xu, Zhongfei Zhang, Philip S. Yu, Bo Long:
Pattern change discovery between high dimensional data sets. CIKM 2011: 1097-1106 - [c73]Zhongang Qi, Ming Yang, Zhongfei (Mark) Zhang, Zhengyou Zhang:
Mining partially annotated images. KDD 2011: 1199-1207 - [c72]Jun Gao, Weiming Hu, Zhongfei (Mark) Zhang, Xiaoqin Zhang, Ou Wu:
RKOF: Robust Kernel-Based Local Outlier Detection. PAKDD (2) 2011: 270-283 - 2010
- [j26]Zhongfei Zhang, Zhen Guo, Jia-Yu Pan:
A Multiple-Instance Learning Based Approach to Multimodal Data Mining. Int. J. Digit. Libr. Syst. 1(2): 24-42 (2010) - [j25]Xi Li, Weiming Hu, Hanzi Wang, Zhongfei Zhang:
Linear discriminant analysis using rotational invariant L1 norm. Neurocomputing 73(13-15): 2571-2579 (2010) - [j24]Xi Li, Weiming Hu, Hanzi Wang, Zhongfei Zhang:
Robust object tracking using a spatial pyramid heat kernel structural information representation. Neurocomputing 73(16-18): 3179-3190 (2010) - [j23]Bo Long, Zhongfei Zhang, Philip S. Yu:
A general framework for relation graph clustering. Knowl. Inf. Syst. 24(3): 393-413 (2010) - [j22]Xi Li, Weiming Hu, Zhongfei Zhang, Hanzi Wang:
Heat Kernel Based Local Binary Pattern for Face Representation. IEEE Signal Process. Lett. 17(3): 308-311 (2010) - [c71]Zhen Guo, Shenghuo Zhu, Zhongfei Zhang, Yun Chi, Yihong Gong:
A Topic Model for Linked Documents and Update Rules for its Estimation. AAAI 2010: 463-468 - [c70]Jun Gao, Weiming Hu, Wei Li, Zhongfei (Mark) Zhang, Ou Wu:
Local Outlier Detection Based on Kernel Regression. ICPR 2010: 585-588 - [c69]Zhen Guo, Shenghuo Zhu, Yun Chi, Zhongfei Zhang, Yihong Gong:
Unsupervised Learning from Linked Documents. ICPR 2010: 730-733 - [c68]Zhongfei (Mark) Zhang, Zhengyou Zhang, Ramesh C. Jain, Yueting Zhuang:
Overview of ACM international workshop on connected multimedia. ACM Multimedia 2010: 1763-1764 - [p3]Zhongfei Zhang, Bo Long, Zhen Guo, Tianbing Xu, Philip S. Yu:
Machine Learning Approaches to Link-Based Clustering. Link Mining 2010: 3-44 - [p2]Zhongfei (Mark) Zhang, Ruofei Zhang:
Multimedia Data Mining. Data Mining and Knowledge Discovery Handbook 2010: 1081-1109 - [p1]Zhongfei (Mark) Zhang, Haroon Khan:
A Holistic, In-Compression Approach to Mining Independent Motion Segments for Massive Surveillance Video Collections. Video Search and Mining 2010: 285-303
2000 – 2009
- 2009
- [c67]Xi Li, Weiming Hu, Zhongfei Zhang, Yang Liu:
Spectral Graph Partitioning Based on a Random Walk Diffusion Similarity Measure. ACCV (2) 2009: 667-676 - [c66]Zhen Guo, Zhongfei Zhang, Shenghuo Zhu, Yun Chi, Yihong Gong:
Knowledge Discovery from Citation Networks. ICDM 2009: 800-805 - [c65]Zhongfei Zhang, Zhen Guo, Ruofei Zhang:
Towards developing a unified multimodal image retrieval framework. ICME 2009: 1656-1659 - [c64]Zhen Guo, Shenghuo Zhu, Yun Chi, Zhongfei Zhang, Yihong Gong:
A latent topic model for linked documents. SIGIR 2009: 720-721 - 2008
- [j21]Zhongfei (Mark) Zhang, Haroon Khan, Mark A. Robertson:
A Holistic, In-Compression Approach to Video Segmentation for Independent Motion Detection. EURASIP J. Adv. Signal Process. 2008 (2008) - [j20]Jian Yao, Zhongfei (Mark) Zhang, Sameer K. Antani, L. Rodney Long, George R. Thoma:
Automatic medical image annotation and retrieval. Neurocomputing 71(10-12): 2012-2022 (2008) - [j19]Zhongfei Zhang, Florent Masseglia, Ramesh C. Jain, Alberto Del Bimbo:
Editorial: Introduction to the Special Issue on Multimedia Data Mining. IEEE Trans. Multim. 10(2): 165-166 (2008) - [j18]Xiao-Bing Xue, Zhi-Hua Zhou, Zhongfei (Mark) Zhang:
Improving Web search using image snippets. ACM Trans. Internet Techn. 8(4): 21:1-21:28 (2008) - [c63]Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu, Tianbing Xu:
Clustering on Complex Graphs. AAAI 2008: 659-664 - [c62]Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, Guan Luo:
Trajectory-Based Video Retrieval Using Dirichlet Process Mixture Models. BMVC 2008: 1-10 - [c61]Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, Mingliang Zhu, Jian Cheng:
Visual tracking via incremental Log-Euclidean Riemannian subspace learning. CVPR 2008 - [c60]Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang:
Robust Visual Tracking Based on an Effective Appearance Model. ECCV (4) 2008: 396-408 - [c59]Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, Bo Long:
Dirichlet Process Based Evolutionary Clustering. ICDM 2008: 648-657 - [c58]Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, Bo Long:
Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State. ICDM 2008: 658-667 - [c57]Xi Li, Zhongfei Zhang, Yanguo Wang, Weiming Hu:
Multiclass spectral clustering based on discriminant analysis. ICPR 2008: 1-4 - [c56]Adel Lablack, Zhongfei (Mark) Zhang, Chabane Djeraba:
Supervised Learning for Head Pose Estimation Using SVD and Gabor Wavelets. ISM 2008: 592-596 - [c55]Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang:
Robust foreground segmentation based on two effective background models. Multimedia Information Retrieval 2008: 223-228 - [c54]Ming Li, Zhongfei (Mark) Zhang, Zhi-Hua Zhou:
Mining Bulletin Board Systems Using Community Generation. PAKDD 2008: 209-221 - [c53]Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Christos Faloutsos:
Semi-Supervised Learning Based on Semiparametric Regularization. SDM 2008: 132-142 - [c52]Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang:
A General Model for Multiple View Unsupervised Learning. SDM 2008: 822-833 - 2007
- [j17]Ruofei Zhang, Zhongfei Zhang:
Effective Image Retrieval Based on Hidden Concept Discovery in Image Database. IEEE Trans. Image Process. 16(2): 562-572 (2007) - [c51]Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu:
Graph Partitioning Based on Link Distributions. AAAI 2007: 578-583 - [c50]Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, Guan Luo:
Robust Visual Tracking Based on Incremental Tensor Subspace Learning. ICCV 2007: 1-8 - [c49]Bo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip S. Yu:
Community Learning by Graph Approximation. ICDM 2007: 232-241 - [c48]Xi Li, Weiming Hu, Zhongfei Zhang:
Corner Detection of Contour Images using Spectral Clustering. ICIP (3) 2007: 37-40 - [c47]Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos Faloutsos:
A Max Margin Framework on Image Annotation and Multimodal Image Retrieval. ICME 2007: 504-507 - [c46]Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip S. Yu:
Relational clustering by symmetric convex coding. ICML 2007: 569-576 - [c45]Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos Faloutsos:
Enhanced max margin learning on multimodal data mining in a multimedia database. KDD 2007: 340-349 - [c44]Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu:
A probabilistic framework for relational clustering. KDD 2007: 470-479 - 2006
- [j16]Jian Yao, Zhongfei (Mark) Zhang:
Hierarchical shadow detection for color aerial images. Comput. Vis. Image Underst. 102(1): 60-69 (2006) - [j15]Ruofei Zhang, Zhongfei (Mark) Zhang:
BALAS: Empirical Bayesian learning in the relevance feedback for image retrieval. Image Vis. Comput. 24(3): 211-223 (2006) - [j14]Arif Ghafoor, Zhongfei (Mark) Zhang, Michael S. Lew, Zhi-Hua Zhou:
Guest Editors' introduction to the special issue: machine learning approaches to multimedia information retrieval. Multim. Syst. 12(1): 1-2 (2006) - [j13]Ruofei Zhang, Zhongfei (Mark) Zhang, Mingjing Li, Wei-Ying Ma, HongJiang Zhang:
A probabilistic semantic model for image annotation and multi-modal image retrieval. Multim. Syst. 12(1): 27-33 (2006) - [j12]Zhongfei Zhang, Florent Masseglia, Ramesh C. Jain, Alberto Del Bimbo:
KDD/MDM 2006: The 7th KDD Multimedia Data Mining workshop report. SIGKDD Explor. 8(2): 92-95 (2006) - [c43]Xiao-Bing Xue, Zhi-Hua Zhou, Zhongfei (Mark) Zhang:
Improve Web Search Using Image Snippets. AAAI 2006: 1431-1437 - [c42]Jian Yao, Sameer K. Antani, L. Rodney Long, George R. Thoma, Zhongfei Zhang:
Automatic Medical Image Annotation and Retrieval Using SECC. CBMS 2006: 820-825 - [c41]Jian Yao, Zhongfei (Mark) Zhang, Sameer K. Antani, L. Rodney Long, George R. Thoma:
Automatic Medical Image Annotation and Retrieval using SEMI-SECC. ICME 2006: 2005-2008 - [c40]Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip S. Yu:
Spectral clustering for multi-type relational data. ICML 2006: 585-592 - [c39]Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip S. Yu:
Unsupervised learning on k-partite graphs. KDD 2006: 317-326 - [c38]Ruofei Zhang, Ramesh Sarukkai, Jyh-Herng Chow, Wei Dai, Zhongfei Zhang:
Joint categorization of queries and clips for web-based video search. Multimedia Information Retrieval 2006: 193-202 - 2005
- [j11]Ruofei Zhang, Zhongfei (Mark) Zhang:
FAST: Toward more effective and efficient image retrieval. Multim. Syst. 10(6): 529-543 (2005) - [c37]Jian Yao, Zhongfei (Mark) Zhang:
Semi-Supervised Learning Based Object Detection in Aerial Imagery. CVPR (1) 2005: 1011-1016 - [c36]John J. Salerno, Raymond A. Cardillo, Zhongfei (Mark) Zhang:
Comparing various algorithms for discovering social groups with uni-party data. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 168-179 - [c35]Ruofei Zhang, Zhongfei (Mark) Zhang, Mingjing Li, Wei-Ying Ma, HongJiang Zhang:
A Probabilistic Semantic Model for Image Annotation and Multi-Modal Image Retrieva. ICCV 2005: 846-851 - [c34]Jian Yao, Zhongfei (Mark) Zhang:
Object Detection in Aerial Imagery Based on Enhanced Semi-Supervised Learning. ICCV 2005: 1012-1017 - [c33]Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu:
Combining Multiple Clusterings by Soft Correspondence. ICDM 2005: 282-289 - [c32]Ruofei Zhang, Zhongfei Zhang:
Image Database Classification based on Concept Vector Model. ICME 2005: 93-96 - [c31]Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu:
Co-clustering by block value decomposition. KDD 2005: 635-640 - 2004
- [j10]Ruofei Zhang, Zhongfei (Mark) Zhang:
A Robust Color Object Analysis Approach to Efficient Image Retrieval. EURASIP J. Adv. Signal Process. 2004(6): 871-885 (2004) - [c30]Ruofei Zhang, Zhongfei (Mark) Zhang:
Hidden Semantic Concept Discovery in Region Based Image Retrieval. CVPR (2) 2004: 996-1001 - [c29]John J. Salerno, Zhongfei Zhang, Ronny Lewin, Michael Decker:
Discovering social groups without having relational data. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2004: 33-40 - [c28]Ruofei Zhang, Zhongfei (Mark) Zhang:
Stretching Bayesian Learning in the Relevance Feedback of Image Retrieval. ECCV (3) 2004: 355-367 - [c27]Ruofei Zhang, Zhongfei (Mark) Zhang, Zhongyuan Qin:
Semantic repository modeling in image database. ICME 2004: 2079-2082 - [c26]Zhongfei Zhang, Ruofei Zhang, Jun Ohya:
Exploiting the cognitive synergy between different media modalities in multimodal information retrieval. ICME 2004: 2227-2230 - [c25]Yuichi Kobayashi, Jun Ohya, Zhongfei Zhang:
Cognitive bridge between haptic impressions and texture images for subjective image retrieval. ICME 2004: 2239-2242 - [c24]Jian Yao, Zhongfei (Mark) Zhang:
Systematic Static Shadow Detection. ICPR (2) 2004: 76-79 - [c23]Ruofei Zhang, Sandeep Khanzode, Zhongfei (Mark) Zhang:
Region Based a-Semantics Graph Driven Image Retrieval. ICPR (4) 2004: 909-912 - [c22]Ruofei Zhang, Zhongfei (Mark) Zhang:
A Bayesian Framework for Automatic Concept Discovery in Image Collections. ICPR (2) 2004: 973-976 - [c21]Ruofei Zhang, Zhongfei (Mark) Zhang, Sandeep Khanzode:
A data mining approach to modeling relationships among categories in image collection. KDD 2004: 749-754 - [c20]Jian Yao, Zhongfei (Mark) Zhang, Lijun Yin:
A multimodal approach to time-invariant scene retrieval from single overhead image. Multimedia Information Retrieval 2004: 205-212 - 2003
- [j9]Zhongfei Zhang, Rohini K. Srihari:
Knowledge Supervised Perceptual Grouping Based Qualitative Building Detection from Monocular Aerial Images. Int. J. Artif. Intell. Tools 12(1): 57-79 (2003) - [c19]Zhongfei (Mark) Zhang, Jian Yao, Saeed Bajwa, Thomas Gudas:
"Automatic" Multimodal Medical Image Fusion. CBMS 2003: 43-49 - [c18]Zhongfei Zhang, John J. Salerno, Maureen A. Regan, Debra A. Cutler:
Using data mining techniques for building fusion models. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2003: 174-184 - [c17]Bing Shen, Zhongfei (Mark) Zhang, Chunfa Yuan:
Person Name Identification in Chinese Documents Using Finite State Automata. IAT 2003: 478-481 - [c16]Zhongfei (Mark) Zhang, John J. Salerno, Philip S. Yu:
Applying data mining in investigating money laundering crimes. KDD 2003: 747-752 - [c15]Ruofei Zhang, Zhongfei (Mark) Zhang:
Addressing CBIR efficiency, effectiveness, and retrieval subjectivity simultaneously. Multimedia Information Retrieval 2003: 71-78 - [c14]Ruofei Zhang, Zhongfei (Mark) Zhang, Jian Yao:
A Unified Fuzzy Feature Indexing Scheme for Region Based Online Image Querying. Web Intelligence 2003: 421-424 - 2002
- [j8]Zhongfei Zhang, Rohini K. Srihari:
Subspace morphing theory for appearance based object identification. Pattern Recognit. 35(11): 2389-2396 (2002) - [c13]Zhongfei Zhang:
Mining Surveillance Video for Independent Motion Detection. ICDM 2002: 741-744 - [c12]Ruofei Zhang, Zhongfei Zhang:
A Clustering Based Approach to Efficient Image Retrieval. ICTAI 2002: 339-346 - 2001
- [c11]Zhongfei (Mark) Zhang, Paul E. Knudson, Ruth S. Weinstock, Suzanne Meyer:
A Web-Based Multimedia Diabetes Mellitus Education Tool for School Nurses. CBMS 2001: 146-151 - [c10]Zhongfei (Mark) Zhang, Guangbiao Pu, Andrzej Król:
IBMAS: An Internet Based Medical Archive System. CBMS 2001: 541-546 - 2000
- [j7]Rohini K. Srihari, Zhongfei Zhang:
Show&Tell: A Semi-Automated Image Annotation System. IEEE Multim. 7(3): 61-71 (2000) - [j6]Rohini K. Srihari, Zhongfei Zhang, Aibing Rao:
Intelligent Indexing and Semantic Retrieval of Multimodal Documents. Inf. Retr. 2(2/3): 245-275 (2000) - [c9]Changqing Zhang, Weiyi Meng, Zonghuan Wu, Zhongfei Zhang:
WebSSQL - A Query Language for Multimedia Web Documents. ADL 2000: 58-67 - [c8]Zhongfei (Mark) Zhang, Rohini K. Srihari, Aibing Rao:
Applications of Image Understanding in Semantics-Oriented Multimedia Information Retrieval. ISMSE 2000: 93
1990 – 1999
- 1999
- [j5]Zhongfei Zhang, Richard S. Weiss, Allen R. Hanson:
Visual servoing control of autonomous robot calibration and navigation. J. Field Robotics 16(6): 313-328 (1999) - [j4]Rohini K. Srihari, Zhongfei (Mark) Zhang:
Exploiting Multimodal Context in Image Retrieval. Libr. Trends 48(2) (1999) - [j3]Rohini K. Srihari, Zhongfei Zhang, R. Manmatha, Chandu Ravela:
Indexing and Retrieval, SIGIR'99 Workshop Summary. SIGIR Forum 33(1): 34-35 (1999) - [c7]Zhongfei Zhang, Rohini K. Srihari, Aibing Rao:
Face Detection and Its Applications in Intelligent and Focused Image Retrieval. ICTAI 1999: 121-128 - [c6]Aibing Rao, Rohini K. Srihari, Zhongfei Zhang:
Spatial Color Histograms for Content-Based Image Retrieval. ICTAI 1999: 183-186 - 1998
- [j2]Rohini K. Srihari, Zhongfei Zhang, R. Manmatha, Chandu Ravela:
Multimedia Indexing and Retrieval, Summary Report. SIGIR Forum 32(2): 29-30 (1998) - [c5]Rohini K. Srihari, Zhongfei Zhang:
Finding Pictures in Context. Multimedia Information Analysis and Retrieval 1998: 109-123 - [c4]Zhongfei Zhang:
Identifying human faces in general appearances. SMC 1998: 4318-4323 - 1997
- [j1]Zhongfei Zhang, Richard S. Weiss, Allen R. Hanson:
Obstacle Detection Based on Qualitative and Quantitative 3D Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 19(1): 15-26 (1997) - 1994
- [c3]Zhongfei Zhang, Richard S. Weiss, Allen R. Hanson:
Qualitative obstacle detection. CVPR 1994: 554-559 - 1993
- [c2]Zhongfei Zhang, Richard S. Weiss, Allen R. Hanson:
Automatic Calibration and Visual Servoing for a Robot Navigation System. ICRA (1) 1993: 14-19 - 1991
- [c1]Zhongfei Zhang, Richard S. Weiss, Edward M. Riseman:
Feature matching in 360° waveforms for robot navigation. CVPR 1991: 742-743
Coauthor Index
[j84] [j83] [c137] [i41] [j77] [j75] [c132] [c131] [j73] [j72] [j71] [j69] [c125] [c124] [c116] [i29] [i28] [i27] [i25] [i23] [j67] [j65] [j62] [c112] [c109] [i21] [i20] [i18] [j59] [j58] [j57] [j55] [j52] [c103] [c102] [i15] [j50] [j49] [j47] [j45] [j43] [c98] [i7] [j38] [c92] [i2] [j37] [j36] [j35] [i1] [j30] [j28] [j25] [j24] [j22] [c67] [c62] [c61] [c60] [c57] [c55] [c50] [c48]
[j108] [j107] [j105] [c153] [i49] [i48] [j94] [j90] [c149] [c147] [c146] [j86] [j79] [c139] [c138] [c135] [c134] [i40] [i36] [j78] [j74] [c130] [c129] [c128] [i33] [i30] [c126] [c125] [c124] [c123] [c122] [c121] [c120] [c119] [i29] [i28] [c114] [c112] [c111] [i19] [j53] [c107] [c104] [i12] [c94] [i6] [j41] [c88] [c87] [c85] [c84] [c82]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-17 20:32 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
