Selected Publications: (click here for the older publication list) 2024 Qiang Wang, Zhong Ji, Yanwei Pang, and Zhongfei Zhang, Uncertainty-Aware Enhanced Dark Experience Replay for Continual Learning, Applied Intelligencey, accepted, DOI: 10.1007/s10489-024-05488-w, 2024 Mushui Liu, Yunlong Yu, Zhong Ji, Jungong Han, and Zhongfei Zhang, Tolerant Self-Distillation for Image Classification, Neural Networks, accepted, DOI: 10.1016/j.neunet.2024.106215, 2024 Hao Chen, Yunlong Yu, Yonghan Dong, Zheming Lu, Yingming Li, and Zhongfei Zhang, Multi-Content Interaction Network for Few-Shot Segmentation, ACM Transactions on Multimedia Computing Communications and Applications, accepted, DOI: 10.1145/3643850, 2024 Yunlong Yu, Hao Chen, Yonghan Dong, Zheming Lu, Yingming Li, Jungong Han, and Zhongfei Zhang,, Dense Affinity Matching for Few-Shot Segmentation, Neurocomputing, accepted, 2024 2023 Jiabao Cui, Liangli Zheng, Yunlong Yu, Yining Lin, Huajian Ni, Xin Xu, and Zhongfei Zhang, Deeply-Recursive Attention Network for Video Steganography, CAAI Transactions on Intelligence Technology, accepted, DOI: 10.1049/cit2.12191, 2023 Shen Han, Haitao Fu, Yuyang Wu, Ganglan Zhao, Zhenyu Song, Feng Huang, Zhongfei Zhang, Shichao Liu, and Wen Zhang, HimGNN: a novel hierarchical molecular graph representation learning framework for property prediction, Briefings in Bioinformatics, Volume 24, Number 5, 2023 Kejie Lyu, Yingming Li, and Zhongfei Zhang, Dual-DIANet: A Sharing-Learnable Multi-Task Network Based on Dense Information Aggregation, Neurocomputing, 2023, accepted Yunlong Yu, Dingyi Zhang, Zhong Ji, Jungong Han, and Zhongfei Zhang, Balancing Feature Alignment and Uniformity for Few-Shot Classification, IEEE Transactions on Image Processing, 2023, DOI: 10.1109/TIP.2023.3328475 Yunlong Yu, Bin Li, Zhong Ji, Jungong Han, and Zhongfei Zhang, Knowledge Distillation Classifier Generation Network for Zero-Shot Learning, IEEE Transactions on Neural Networks and Learning Systems, Volume 34, Number 6, Pages 3183-3194, June, 2023, DOI: 10.1109/TNNLS.2021.3112229 Jurgen Dix and Zhongfei Zhang, {AI}'s 10 to Watch 2022, IEEE Intelligent Systems, Volume 38, Number 2, Pages 5-16, IEEE Computer Society Press, March/April, 2023 Zhong Ji, Jin Li, Qiang Wang, and Zhongfei Zhang, Complementary Calibration: Boosting General Continual Learning With Collaborative Distillation and Self-Supervision, IEEE Transactions on Image Processing, Volume 32, Pages 657-667, IEEE Press, 2023, DOI: 10.1109/TIP.2022.3230457 Dingyi Zhang, Yingming Li, and Zhongfei Zhang, Multi-Scale Similarity Aggregation for Dynamic Metric Learning, Proc. ACM International Conference on Multimedia, (ACM MM 2023), Ottawa, Canada, , October, 2023, (29.3% acceptance rate) Zhankun Xiong, Shichao Liu, Feng Huang, Ziyan Wang, Xuan Liu, Zhongfei Zhang, and Wen Zhang, Multi-relational Contrastive Learning Graph Neural Network for Drug-drug Interaction Event Prediction, Proc. the 37th AAAI Conference on Artificial Intelligence, (AAAI 2023), Washington DC, USA, February, 2023, (19.6% acceptance rate) 2022 Hangyu Zhang, Yingming Li, and Zhongfei Zhang, Video-Grounded Dialogues with Joint Video and Image Training, Proc. the 29th International Conference on Image Processing, (ICIP 2022), Bordeaux, France, October, 2022 Yaodong Wang, Zhong Ji, Kevin Chen, Yanwei Pang, and Zhongfei Zhang, COREN: Multi-Modal Co-Occurrence Transformer Reasoning Network for Image-Text Retrieval, Neural Processing Letters, Springer, December, 2022, DOI: 10.1007/s11063-022-11121-z Zhong Ji, Xuejie Yu, Yanwei Pang, and Zhongfei Zhang, Semantic-Guided Class-Imbalance Learning Model for Zero-Shot Image Classification, IEEE Transactions on Cybernectics, Volume 52, Issue 7, Pages 6543-6554, IEEE Press, July, 2022, DOI: 10.1109/TCYB.2020.3004641. Zhong Ji, Ping An, Xiyao Liu, Yanwei Pang, Ling Shao, and Zhongfei Zhang, Task-Oriented High-Order Context Graph Networks for Few-Shot Human-Object Interaction Recognition, IEEE Transactions on Systems, Man, and Cybernectics, Volume 52, Issue 9, Pages 5443 - 5455, IEEE Press, September, 2022, DOI: 10.1109/TSMC.2021.3125343. Yunlong Yu, Dingyi Zhang, Sidi Wang, Zhong Ji, and Zhongfei Zhang, Local Spatial Alignment network for Few-Shot Learning, Neurocomputing, Issue 497, Pages 182-190, Elsevier, 2022. Qiang Wang, Jiayi Liu, Zhong Ji, Yanwei Pang, and Zhongfei Zhang, Hierarchical Correlations Replay for Continual Learning, Knowledge-Based Systems, Issue 250, DOI:https://doi.org/10.1016/j.knosys.2022.109052, Elsevier, 2022. Shichao Liu, Yang Zhang, Yuxin Cui, Yang Qiu, Yifan Deng, Zhongfei Zhang, and Wen Zhang, META-DDIE: Enhancing Drug-Drug Interaction Prediction Using Deep Attention Neural Networks, IEEE/ACM Transactions on Computational Biology and Bioinformatics, accepted, DOI: 10.1109/TCBB.2022.3172421, 2022. Xiang Deng, Jean Zheng, and Zhongfei Zhang, Personalized Education: Blind Knowledge Distillation, Proc. the European Conference on Computer Vision, (ECCV 2022), Tel Aviv, Israel, October, 2022, (28% acceptance rate). Yunlong Yu, Dingyi Zhang, Yingming Li, and Zhongfei Zhang, Multi-Proxy Learning from an Entropy Optimization Perspective, Proc. International Joint Conference on Artificial Intelligence, (IJCAI 2022), Vienna, Austria, July, 2022, (3.75% acceptance rate), long presentation. Xiang Deng and Zhongfei Zhang, Deep Causal Metric Learning, Proc. of the 39th International Conference on Machine Learning (ICML 2022). Senqi Cao and Zhongfei Zhang, Deep Hybrid Models for Out-of-Distribution Detection, Proc. IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR 2022), New Orleans, Luisiana, USA, June, 2022, (25.33% acceptance rate) [pdf] Yifan Deng, Yang Qiu, Xinran Xu, Shichao Liu, Zhongfei Zhang, Shanfeng Zhu, and Wen Zhang, META-DDIE: Predicting Drug-Drug Interaction Events with Few-Shot Learning, Briefings in Bioinformatics, Volume 23, Issue 1, January, 2022 Xiang Deng and Zhongfei Zhang, Reducing Flipping Errors in Deep Neural Networks, Proc. 36th AAAI Conference on Artificial Intelligence, (AAAI 2022), Virtual Conference, February, 2022, (15% acceptance rate) Kejie Lv, Sicheng Pan, Yingming Li, and Zhongfei Zhang, JSENet: A deep convolutional neural network for joint image super-resolution and enhancement, Neurocomputing, DOI: https://doi.org/10.1016/j.neucom.2021.12.071, 2022 [pdf] 2021 Xiang Deng and Zhongfei Zhang, Comprehensive Knowledge Distillation with Causal Intervention, Proc. 35th Conference on Neural Information Processing Systems, (NeurIPS 2021), Virtual Conference, December, 2021, (26% acceptance rate) [pdf] Xiang Deng and Zhongfei Zhang, Sparsity-Control Ternary Weight Networks, Neural Networks, 2021 [pdf] Di Zhou, Weigang Chen, Chunsheng Guo, and Zhongfei Zhang, Batch quadratic programming network with maximum entropy constraint for anomaly detection, ITE Computer Vision, DOI: 10.1049/cvi2.12082, 2021 [pdf] Yaqing Zhang, Xi Li, and Zhongfei Zhang, Efficient Person Search via Expert-Guided Knowledge Distillation, IEEE Transactions on Cybernetics, Volume 51, Number 10, Pages 5093-5104, Oct. 2021, DOI: 10.1109/TNNLS.2021.3112229, 2021 [pdf] Yunlong Yu, Bin Li, Zhong Ji, Jungong Han, and Zhongfei Zhang, Knowledge Distillation Classifier Generation Network for Zero-Shot Learning, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2021.3112229, 2021 [pdf] Baiyun Cui, Yingming Li, and Zhongfei Zhang, Efficient Relational Sentence Ordering Network, IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2021.3085738, 202 Baiyun Cui, Yingming Li, and Zhongfei Zhang, Joint Structured Pruning and Dense Knowledge Distillation for Efficient Transformer Model Compression, Neurocomputing, Volume 458, Pages 56-69, Oct. 2021 Jun Song, Yueyang Wang, Siliang Tang, Zhigang Chen, Zhongfei Zhang, Tong Zhang, and Fei Wu, Local-Global Memory Neural Network for Medication Prediction, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2020.2989364, Volume 32, Issue 4, Pages 1723 - 1736, 2021 Xiang Deng and Zhongfei Zhang, Graph-Free Knowledge Distillation for Graph Neural Networks, Proc. the 30th International Joint Conference on Artificial Intelligence, 2021 [pdf] Xingran Zhou, Bo Zhang, Ting Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, and Fang Wen, Full-Resolution Correspondence Learning for Image Translation, Proc. IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR 2021), Virtual Conference, June, 2021, (23.4% acceptance rate) [pdf] Xiang Deng and Zhongfei Zhang, Learning with Retrospection, Proc. 35th International Conference on Artificial Intelligence, (AAAI 2021), Virtual Conference, February, 2021, (18.7% acceptance rate) [pdf] Xiang Deng and Zhongfei Zhang, Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning?, Proc. the 25th International Conference on Pattern Recognition, (ICPR 2020), Milan, Italy, January, 2021 [pdf] Tao Jin, Siyu Huang, Ming Chen, Yingming Li, and Zhongfei Zhang, SBAT: Video Captioning with Sparse Boundary-Aware Transformer, Proc. the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence, (IJCAI-PRICAI 2020), Yokohama, Japan, January, 2021, (12.8% acceptance rate) [pdf] 2020 Zhongfei (Mark) Zhang and Ruofei Zhang, Multimedia Data Learning, in Machine Learning and Knowledge Discovery Handbook, 3rd Ed., Edited by Oded Maimon, Lior Rokach, and Erez Shmueli, Springer, 2020 Bin Li, Jian Tian, Zhongfei Zhang, Hailin Feng, and Xi Li, Multitask Non-Autoregressive Model for Human Motion Prediction, IEEE Transactions on Image Processing, Volume 30, Number 11, Pages 2562 - 2574, 2020, DOI:10.1109/TIP.2020.3038362 [pdf] Zhong Ji, Xuejie Yu, Yunlong Yu, Yanwei Pang, and Zhongfei Zhang, Improved Prototypical Networks for Few-Shot Learning, Pattern Recognition Letters, accepted, 2020 Zhong Ji, Xuejie Yu, Yunlong Yu, Yanwei Pang, and Zhongfei Zhang, Semantic-Guided Class Imbalance Learning Model for Zero-Shot Image Classification, IEEE Transactions on Cybernetics, accepted, 2020 Jun Song, Yueyang Wang, Siliang Tang, Zhigang Chen, Zhongfei Zhang, Tong Zhang, and Fei Wu, Local-Global Memory Neural Network for Medication Prediction, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2020.2989364, 2020 Zhong Ji, Kevin Chen, Junyue Wang, Yunlong Yu, and Zhongfei Zhang, Multi-Modal Generative Adversarial Network for Zero-Shot Learning, Knowledge-Based Systems, Volume 197, DOI: 10.1016/j.knosys.2020.105847, 2020 Kejie Lv, Yingming Li, and Zhongfei Zhang, Attention-Aware Multi-Task Convolutional Neural Networks, IEEE Transactions on Image Processing, Volume 29, Number 1, Pages 1867-1878, 2020 Dingyi Zhang, Yingming Li, and Zhongfei Zhang, Deep Metric Learning with Spherical Embedding, Proc. the 34th Conference on Neural Information Processing Systems, (NeurIPS 2020), Vancouver, Canada, December, 2020, (20% acceptance rate) [pdf] Baiyun Cui, Yingming Li, and Zhongfei Zhang, BERT-Enhanced Relational Sentence Ordering Network, Proc. the 2020 Conference on Empirical Methods in Natural Language Processing, (EMNLP 2020), November, 2020, (22.4% acceptance rate) [pdf] Tao Jin, Yingming Li, and Zhongfei Zhang, Dual Low-Rank Multimodal Fusion, Proc. the 2020 Conference on Empirical Methods in Natural Language Processing, (EMNLP 2020), November, 2020, (22.4% acceptance rate) [pdf] Yunlong Yu, Zhong Ji, Jungong Han, and Zhongfei Zhang, Episode-based Prototype Generating Network for Zero-Shot Learning, Proc. IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR 2020), Virtual Conference, June, 2020, (22% acceptance rate) [pdf] Siyu Huang, Xi Li, Zhi-Qi Cheng, Zhongfei Zhang, Alexander Hauptmann, Dense Crowd Counting with Stacked Pooling for Boosting Scale Invariance, Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP 2020), Barcelona, Spain, May, 2020, (47% acceptance rate) 2019 Shengkang Yu, Xi Li, Xueyi Zhao, Zhongfei Zhang, and Fei Wu, A bilinear ranking SVM for knowledge based relation prediction and classification, IEEE Transactions on Big Data}, Volume 5, Number 4, Pages 588-600, IEEE Computer Society Press, DOI: 10.1109/TBDATA.2018.2843766, December, 2019 Tao Jin, Siyu Huang, Yingming Li, and Zhongfei Zhang, Recurrent Convolutional Video Captioning with Global and Local Attention, Neurocomputing, Volume 370, Number 12, Pages 118-127, 2019 Tao Jin, Siyu Huang, Yingming Li, and Zhongfei Zhang, Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning, Proc. International Conference on Empirical Methods on Natural Language Processing and the 9th Joint International Conference on Natural Language Processing, (EMNLP-IJCNLP 2019), Hong Kong, China, November, 2019, 23.8% acceptance rate) Baiyun Cui, Yingming Li, Ming Chen, and Zhongfei Zhang, Fine-tune BERT with Sparse Self-Attention Mechanism, Proc. International Conference on Empirical Methods on Natural Language Processing and the 9th Joint International Conference on Natural Language Processing, (EMNLP-IJCNLP 2019), Hong Kong, China, November, 2019, (23.8% acceptance rate) Siyu Huang, Xi Li, Zhongfei Zhang, Fei Wu, and Junwei Han, User-Ranking Video Summarization with Multi-Stage Spatio-Temporal Representation, IEEE Transactions on Image Processing, DOI: 10.1109/TIP.2018.2889265, Volume 28, Number 6, Pages 2654-2664, 2019 Yingming Li, Ming Yang, and Zhongfei Zhang, A Survey of Multi-View Representation Learning, IEEE Transactions on Knowledge and Data Engineering, Volume 31, Number 10, Pages 1863-1883, 2019, DOI: 10.1109/TKDE.2018.2872063 Yunlong Yu, Zhong Ji, Jichang Guo, Zhongfei Zhang, Zero-Shot Learning via Latent Space Encoding, IEEE Transactions on Cybernetics, Volume 49, Number 10, Pages 3755-3766, October, 2019, DOI:10.1109/TCYB.2018.2850750 Lida Zhu, Shichao Liu, Fuxi Zhu, and Zhongfei Zhang, NEEF: Network Embedding with Edge Features, KSEM 2019 Xingran Zhou, Siyu Huang, Bin Li, Yingming Li, Jiachen Li, Zhongfei Zhang, Text Guided Person Image Synthesis, CVPR 2019 Yaqing Zhang, Xi Li, Zhongfei (Mark) Zhang, Learning a Key-Value Memory Co-Attention Matching Network for Person Re-Identification, AAAI 2019 (acceptance rate 16%) Bin Li, Xi Li, Zhongfei (Mark) Zhang, Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition, AAAI 2019 (acceptance rate 16%) Siliang Tang, Fei Wu, Yueting Zhuang, Zhongfei (Mark) Zhang, Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction, AAAI 2019 (acceptance rate 16%) 2018 Yingming Li and Zhongfei Zhang, A Survey of Multi-View Representation Learning, IEEE Transactions on Knowledge and Data Engineering, 2018 Shengkang Yu, Xi Li, Xueyi Zhao, Zhongfei Zhang, and Fei Wu, A bilinear ranking SVM for knowledge based relation prediction and classification, IEEE Transactions on Big Data, 2018 Zhongang Qi, Tianchun Wang, Guojie Song, Weisong Hu, Xi Li, and Zhongfei Zhang, Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-Grained Air Quality, IEEE Transactions on Knowledge and Data Engineering, 2018 Yueting Zhuang, Jun Song, Fei Wu, Xi Li, Zhongfei Zhang, and Yong Rui, Multi-Modal Deep Embedding via Hierarchical Grounded Compositional Semantics, IEEE Transactions on Circuits and Systems for Video Technology, 2018 Yunlong Yu, Zhong Ji, Yanwei Fu, Jichang Guo, Yanwei Pang, Zhongfei (Mark) Zhang, Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot Learning, NIPS 2018 (acceptance rate 20.8%) Zeshang Zhang, Yingming Li, Zhongfei (Mark) Zhang, Relative Attribute Learning with Deep Attentive Cross-image Representation, ACML 2018 (acceptance rate 24.8%) Ming Chen, Yingming Li, Zhongfei (Mark) Zhang, Two-View Transformer Network for Video Captioning, ACML 2018 (acceptance rate 24.8%) Baiyun Cui, Yingming Li, Ming Chen, and Zhongfei (Mark) Zhang, Deep Attentive Sentence Ordering Network, EMNLP 2018 Siyu Huang, Xi Li, Zhi-Qi Cheng, Zhongfei (Mark) Zhang, and Alexander Hauptmann, GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning, MM 2018 (acceptance rate 8.5%) Jiajiong Cao, Yingming Li, and Zhongfei (Mark) Zhang, CELEB-500K: A LARGE TRAINING DATASET FOR FACE RECOGNITION, ICIP 2018 Zachary Seymour and Zhongfei (Mark) Zhang, Image Annotation Retrieval with Text-Domain Label Denoising, ICMR 2018 Zachary Seymour and Zhongfei (Mark) Zhang, Multi-label Triplet Embeddings for Image Annotation from User-Generated Tags, ICMR 2018 Jiajiong Cao, Yingming Li, and Zhongfei (Mark) Zhang, Partially Shared Multi-Task Convolutional Neural Network with Local Constraint for Face Attribute Learning, CVPR 2018 (acceptance rate 29%) Jiangtao Yin, Lixin Gao, and Zhongfei Zhang, Scalable Distributed Nonnegative Matrix Factorization with Block-wise Updates, IEEE Transactions on Knowledge and Data Engineering, 2018 Siyu Huang, Xi Li, and Zhongfei Zhang, Body Structure Aware Deep Crowd Counting, IEEE Transactions on Image Processing, 2018 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 Transactions on Cybernetics, 2018 Jun Song, Jun Xiao, Fei Wu, Hai Shan, Tong Zhang, Zhongfei Zhang, Wenwu Zhu, Hierarchical Contextual Attention Recurrent Neural Network for Map Query Suggestion, IEEE Transactions on Knowledge and Data Engineering, 2018 Yingming Li and Zhongfei (Mark) Zhang, Learning with Incomplete Labels, AAAI 2018 (acceptance rate 25%) Chaojie Mao, Yingming Li, Zhongfei (Mark) Zhang, Yaqing Zhang, and Xi Li, Multi-Channel Pyramid Person Matching Network for Person Re-Identification, AAAI 2018 (acceptance rate 25%) Jiajiong Cao, Yingming Li, Xi Li, and Zhongfei (Mark) Zhang, FR-ANet: A Face Recognition Guided Facial Attribute Classification Network, AAAI 2018 (acceptance rate 25%) 2017 Yingming Li, Ming Yang, and Zhongfei (Mark) Zhang, Learning with Feature Network and Label Network Simultaneously, AAAI 2017 (acceptance rate 24.6%) Nana Li, Shuangfei Zhai, Zhongfei (Mark) Zhang and Boying Liu, Cross-lingual Structural Correspondence Learning with One-to-many Mappings, AAAI 2017 (acceptance rate 24.6%) Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogerio Feris, S3Pool: Pooling with Stochastic Spatial Sampling, CVPR 2017 (acceptance rate 29%) Te Pi, Xi Li, and Zhongfei (Mark) Zhang, Boosted Zero-Shot Learning with Semantic Correlation Regularization, IJCAI 2017 (acceptance rate 25.9%) Baiyun Cui, Yingming Li, Yaqing Zhang, and Zhongfei (Mark) Zhang, Text Coherence Analysis Based on Deep Neural Network, CIKM 2017 Chaojie Mao, Yingming Li, Zhongfei (Mark) Zhang, Yaqing Zhang, and Xi Li, Pyramid Person Matching Network for Person Re-Identification, ACML 2017 (acceptance rate 23.8%) Zhong Ji, Yunlong Yu, Yanwei Pang, Jichang Guo, Zhongfei Zhang, Manifold Regularized Cross-Modal Embedding for Zero-Shot Learning, Information Sciences, 2017 Zhong Ji, Yuzhong Xie, Yanwei Pang, Lei Chen, Zhongfei Zhang, Zero-Shot Learning with Multi-Battery Factor Analysis, Signal Processing, 2017 Te Pi, Xi Li, Zhongfei Zhang, Xueyi Zhao, Meng Wang, Xuelong Li, Philip S. Yu, Learning Bregman Distance Functions for Structural Learning to Rank, IEEE Transactions on Knowledge and Data Engineering, 2017 Hanqi Wang, Yueting Zhuang, Jun Xiao, Fei Wu, Yi Yang, Weiming Lu, Zhongfei Zhang, Bag-of-Discriminative-Words (BoDW) Representation via Topic Modeling, IEEE Transactions on Knowledge and Data Engineering, 2017 Zhouzhou He, Xi Li, Yaqing Zhang, Zhongfei Zhang, Fei Wu, Yueting Zhuang, and Xuelong Li, Data-Dependent Label Distribution Learning for Age Estimation, IEEE Transactions on Knowledge and Data Engineering, 2017 2016 Shuangfei Zhai, Zhongfei (Mark) Zhang, Semisupervised Autoencoder for Sentiment Analysis, AAAI 2016 (oral) [paper] Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei (Mark) Zhang, Attention Based Recurrent Neural Networks for Online Advertising, WWW 2016 Poster [paper] Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei (Mark) Zhang, DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks, KDD 2016 (full paper, acceptance rate 8.9%) [paper] Shuangfei Zhai*, Yu Cheng*, Weining Lu, Zhongfei (Mark) Zhang (* equal contribution). Deep Structured Energy Based Models for Anomaly Detection, ICML 2016 (acceptance rate 24.2%) [paper] Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei (Mark) Zhang, Doubly Convolutional Neural Networks, NIPS 2016 [paper] Siyu Huang, Xi Li, Zhongfei Zhang, Zhouzhou He, Fei Wu, Jinhui Tang, and Yueting Zhuang, Deep Learning Driven Visual Path Prediction from a Single Image, IEEE Transactions on Image Processing, 2016 Yueting Zhuang, Jun Song, Fei Wu, Xi Li, Zhongfei Zhang, and Yong Rui, Multi-Modal Deep Embedding via Hierarchical Grounded Compositional Semantics, IEEE Transactions on Circuits and Systems for Video Technology, 2016 Jun Song, Siliang Tang, Jun Xiao, Fei Wu, and Zhongfei Zhang, LSTM-in-LSTM for Generating Long Descriptions of Images, Journal of Computational Visual Media, 2016 Yingming Li, Ming Yang, Zhongang Qi, and Zhongfei Zhang, Bayesian Multi-task Relationship Learning with Link Structure, IEEE Transactions on Knowledge and Data Engineering, 2016 Yingming Li, Ming Yang, Zenglin Xu, and Zhongfei (Mark) Zhang, Multi-view Learning with Limited and Noisy Tagging, IJCAI 2016 (acceptance rate 20%) Te Pi, Xi Li, Zhongfei (Mark) Zhang, Deyu Meng, Fei Wu, Jun Xiao, Yueting Zhuang, Self-Paced Boost Learning for Classification, IJCAI 2016 (acceptance rate 20%) Yaqing Zhang, Xi Li, Liming Zhao, and Zhongfei (Mark) Zhang, Semantics-aware Deep Correspondence Structure Learning for Robust Person Re-identification, IJCAI 2016 (acceptance rate 20%) Yingming Li, Ming Yang, and Zhongfei (Mark) Zhang, Learning with Marginalized Corrupted Features and Labels Together, AAAI 2016 (acceptance rate 26%) 2015 Yi Xu, Yilin Zhu, Zhongfei (Mark) Zhang, Yaqing Zhang, Philip S. Yu (2015). Convex Approximation to the Integral Mixture Models Using Step Functions. IEEE International Conference on Data Mining. Status = ACCEPTED; Acknowledgement of Federal Support = Yes Shuangfei Zhai and Zhongfei (Mark) Zhang (2015). Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs. SIAM International Conference on Data Mining. . Status = PUBLISHED; Acknowledgement of Federal Support = Yes Zhong Ji, Yunlong Yu, Yanwei Pang, Yingming Li, Zhongfei Zhang (2015). Marginal Fisher Regression Classification for Face Recognition. Pacific­Rim Conference on Multimedia. . Status = ACCEPTED; Acknowledgement of Federal Support = Yes Xueyi Zhao, Xi Li, and Zhongfei Zhang (2015). Multimedia Retrieval via Deep Learning to Rank. IEEE International Conference on Image Processing. . Status = PUBLISHED; Acknowledgement of Federal Support = Yes Yi Xu, Zhongfei (Mark) Zhang, Yaqing Zhang, Philip S. Yu (2015). Sensor Network Partitioning based on Homogeneity. IEEE International Conference on Data Science and Analytical Analysis. . Status = ACCEPTED; Acknowledgement of Federal Support = Yes Siliang Tang, Fei Wu, Si Li, and Zhongfei (Mark) Zhang (2015). Sketch the Storyline with CHARCOAL: a Non­ parametric Approach. International Joint Conference on Artificial Intelligence. . Status = PUBLISHED; Acknowledgement of Federal Support = Yes Fei Wu, Jun Song, Xi Li, Yi Yang, Zhongfei (Mark) Zhang, and Yueting Zhuang (2015). Structured embedding via pairwise relations and long­range interactions. AAAI. . Status = PUBLISHED; Acknowledgement of Federal Support = Yes Chunhua Shen, Xi Li, Anthony R. Dick, Zhongfei Zhang, Yueting Zhang (2015). Online Metric­Weighted Linear Representations for Robust Visual Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. . Status = ACCEPTED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes Fei Wu, Xinyang Jiang, Xi Li, Siliang Tang, Weiming Lu, Zhongfei Zhang, and Yueting Zhuang (2015). Cross­Modal Learning to Rank via Latent Joint Representation. IEEE Transactions on Image Processing. . Status = ACCEPTED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes Peiguang Jing, Zhong Ji, Yunlong Yu, Zhongfei Zhang (2015). Visual Search Reranking with Relevant Local Discriminant Analysis. Neurocomputing. . Status = ACCEPTED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes Shengkang Yu, Xi Li, Xueyi Zhao, Zhongfei Zhang, Fei Wu (2015). Tracking News Article Evolution by Dense Subgraph Learning. Neurocomputing. . Status = ACCEPTED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes Xueyi Zhao, Chenyi Zhang, Zhongfei Zhang (2015). Distributed cross­media multiple binary subspace learning. International Journal of Multimedia Information Retrieval. . Status = ACCEPTED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes Xueyi Zhao, Xi Li, and Zhongfei Zhang (2015). Multimedia Retrieval via Deep Learning to Rank. IEEE Signal Processing Letters. . Status = ACCEPTED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes Xueyi Zhao, Xi Li, Zhongfei Zhang (2015). Joint Structural Learning to Rank with Deep Linear Feature Learning. IEEE Transactions on Knowledge and Data Engineering. . Status = ACCEPTED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes Yaqing Zhang, Xi Li, Zhongfei Zhang, and Fei Wu (2015). Deep Learning Driven Blockwise Moving Object Detection with Binary Scene Modeling. Neurocomputing. . Status = ACCEPTED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes Zhen Guo, Zhongfei Zhang, Eric P. Xing, and Christos Faloutsos (2015). Multimodal Data Mining in a Multimedia Database Based on Structured Max Margin Learning. ACM Transactions on Knwoledge Discovery and Data Mining. Status = ACCEPTED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes 2014 Mingyu Fan, Xiaoqin Zhang, Zhouchen Lin, Zhongfei Zhang, and Hujun Bao, A Regularized Approach for Geodesic-Based Semisupervised Multimanifold Learning, IEEE Transactions on Image Processing, IEEE Signal Processing Society Press, Volume 23, Issue 5, May, Pages 2133-2147, 2014 Ismail El Sayad, Jean Martinet, Zhongfei (Mark) Zhang, and Peter Eisert, Multilayer Semantic Analysis In Image Databases, in Real World Data Mining Applications, Edited by Mahmoud Abou-Nasr, Robert Stahlbock, Stefan Lessmann, and Gary M. Weiss, Springer, 2014 Zhongfei Zhang, Yueting Zhuang, Ramesh Jain, Jia-Yu Pan, Editorial of the Special Issue on the Cross-Media Analysis, International Journal of Multimedia Information Retrieval, Springer, Volume 3, Number 3, October, 2014, DOI 10.1007/s13735-014-0060-1 Ming Yang, Yingming Li, Zhongfei Zhang, Scientific Articles Recommendation with Topic Regression and Relational Matrix Factorization, Journal of Zhejiang University --- Part C: Computer Science, 2014 Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony R. Dick, and Anton van den Hengel, Context-Aware Hypergraph Construction for Robust Spectral Clustering, IEEE Transactions on Knowledge and Data Engineering, IEEE Computer Society Press, Volume 26, Issue 10, October, Pages 2588-2597, 2014 Zhen Guo, Zhongfei Zhang, Shenghuo Zhu, Yun Chi, Yihong Gong, A Two-Level Topic Model towards Knowledge Discovery from Citation Networks, IEEE Transactions on Knowledge and Data Engineering, IEEE Computer Society Press, Volume 26, Issue 4, April, Pages 780 - 794, 2014 Fei Wu, Jun Song, Xi li, Yi Yang, Zhongfei (Mark) Zhang, and Yueting Zhuang, Structured embedding via pairwise relations and long-range interactions, Proc. AAAI, (AAAI 2015), Austin, TX, USA , January, 2015, (26.67% acceptance rate) Te Pi, Xi Li, and Zhongfei (Mark) Zhang, Structural Bregman Distance Functions Learning to Rank with Self-Reinforcement, Proc. IEEE International Conference on Data Mining}, (ICDM 2014), Shenzhen, Guangdong, China, December, 2014, (9.8\% acceptance rate) Jiangtao Yin, Lixin Gao, and Zhongfei (Mark) Zhang, Scalable Nonnegative Matrix Factorization with Block-wise Updates, Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, (ECML/PKDD 2014), Nancy, France, September, 2014, (23.8% acceptance rate) Zheng Fang and Zhongfei (Mark) Zhang, Cross Domain Shared Subspace Learning for Unsupervised Transfer Classification, Proc. International Conference on Pattern Recognition, Stockholm, Sweden, August, 2014, (18% acceptance rate) Xueyi Zhao, Chenyi Zhang, and Zhongfei (Mark) Zhang, Distributed Binary Subspace Learning on Large-Scale Cross-Media Data, Proc. IEEE International Conference on Multimedia and Expo, Chengdu, China, July, 2014, (33% acceptance rate) 2013 Zheng Fang and Zhongfei (Mark) Zhang, Discriminative Feature Selection for Multi-View Cross-Domain, ACM International Conference on Information and Knowledge Management, San Francisco, CA, USA, October, 2013 (acceptance rate 16.8) Yingming Li, Ming Yang, Zhongfei (Mark) Zhang, Scientific Articles Recommendation, ACM International Conference on Information and Knowledge Management, San Francisco, CA, USA, October 2013 (acceptance rate 16.8) Ming Yang, Yingming Li, and Zhongfei (Mark) Zhang, Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model, Proc. International Conference on Machine Learning, Atlanta, Georgia, USA, June, 2013, (20% acceptance rate) Xinyan Lu, Fei Wu, Siliang Tang, Zhongfei (Mark) Zhang, Xiaofei He, and Yueting Zhuang, A Low Rank Structural Large Margin Method for Cross-Modal Ranking, Proc. The 36th Annual ACM SIGIR Conference, Dublin, Ireland, July, 2013, (19.9% acceptance rate) Yingming Li, ZhongAng Qi, Zhongfei (Mark) Zhang, and Ming Yang, Learning with Limited and Noisy Tagging, Proc. The ACM International Conference on Multimedia, Barcelona, Catalunya, Spain, October, 2013, (20% acceptance rate) Xinyan Lu, Fei Wu, Siliang Tang, Zhongfei (Mark) Zhang, Xiaofei He, and Yueting Zhuang, Cross-Media Semantic Representation via Bi-directional Learning to Rank, Proc. The ACM International Conference on Multimedia, Barcelona, Catalunya, Spain, October, 2013, (20% acceptance rate) Xi Li, Anthony R. Dick, Chunhua Shen, Zhongfei Zhang, Anton van den Hengel, and Hanzi Wang, Visual Tracking With Spatio-Temporal Dempster-Shafer Information Fusion, IEEE Transactions on Image Processing, IEEE Signal Processing Society Press, Volune 22, Number 8, Pages 3028-3040, 2013 Zhen Guo, Zhongfei Zhang, Shenghuo Zhu, Yun Chi, Yihong Gong, A Two-Level Topic Model towards Knowledge Discovery from Citation Networks, IEEE Transactions on Knowledge and Data Engineering, IEEE Computer Society Press, accepted, 2013 Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony R. Dick, and Anton van den Hengel, Context-Aware Hypergraph Construction for Robust Spectral Clustering, IEEE Transactions on Knowledge and Data Engineering, IEEE Computer Society Press, accepted, 2013 Zheng Fang and Zhongfei (Mark) Zhang, Discriminant Transfer Learning on Manifold, Proc. SIAM International Conference on Data Mining, Austin, TX, USA, May, 2013, (25.5% acceptance rate) [pdf] Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony Dick, and Anton van den Hengel, A Survey of Appearance Models in Visual Object Tracking, ACM Transactions on Intelligent Systems and Technology, ACM Press, accepted [pdf] 2012 Zheng Fang and Zhongfei (Mark) Zhang, Simultaneously Combing Multi-View Multi-Label Learning with Maximum Margin Classification, Proc. IEEE International Conference on Data Mining, Brussels, Belgium, December, 2012, (9.3% acceptance rate) Xi Li, Weiming Hu, Zhongfei Zhang, and David Suter, An Incremental DPMM-Based Method for Trajectory Clustering, Modeling and Retrieval, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Society Press, accepted, 2012 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, nternational Journal of Multimedia Information Retrieval, Springer, Volume 1, Number 1, Pages 3-15, April, 2012, DOI 10.1007/s13735-012-0001-9 Zhouzhou He, Zhongfei Zhang, Philip S. Yu, Overlapping Community Detection Combining Content and Link, Journal of Zhejiang University --- Part C: Computer Science, accepted, 2012 Weiming Hu, Haiqiang Zuo, Ou Wu, Yunfei Chen, Zhongfei Zhang, and David Suter, Single and Multiple Object Tracking Using Log-Euclidean Riemannian Subspace and Block-Division Appearance Model, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Society Press, accepted, 2012 Tianbing Xu, Zhongfei Zhang, Philip S. Yu, and Bo Long, Generative Models for Evolutionary Clustering, ACM Transactions on Knowledge Discovery from Data, ACM Press, accepted, 2012 [pdf] Zhongang Qi, Ming Yang, Zhongfei Zhang, Zhengyou Zhang, Multi-View Learning from Imperfect Tagging, Proc. the 20th ACM International Conference on Multimedia, Nara, Japan, 2012, (20% acceptance rate) [pdf] Zhongang Qi, Ming Yang, Zhongfei Zhang, Zhengyou Zhang, Mining Noisy Tagging from Multi-Label Space, Proc. the 21st ACM Conference on Information and Knowledge Management}, Maui, HW, USA, 2012, (14.3% acceptance rate) Zhongfei (Mark) Zhang, Zhengyou Zhang, Ramesh Jain, and Yueting Zhuang, Guest Editors' Introduction: Special Section on Connected Multimedia, Journal of Multimedia, Academy Publisher, Volume 7, Number 1, 2012 Zhongfei Zhang, Zhengyou Zhang, Ramesh Jain, Yueting Zhuang, Noshir Contractor, Alexander G. Hauptmann, Alejandro (Alex) 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, Journal of Zhejiang University --- Part C (Computer Science), Springer, accepted, 2012 Mingyu Fan, Xiaoqin Zhang;, Zhouchen Lin, Zhongfei Zhang and Hujun Bao, Geodesic based semi-supervised multi-manifold feature extraction, Proc. IEEE International Conference on Data Mining, Brussels, Belgium, December, 2012, (9.3% acceptance rate) Jun Gao, Weiming Hu, Zhongfei (Mark) Zhang, Ou Wu, Unsupervised Ensemble Learning for Mining Top-n Outliers, Proc. the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Kuala Lumpur, Malaysia, May, 2012, (8.3% acceptance rate) 2011 Weiming Hu, Haiqiang Zuo, Ou Wu, Yunfei Chen, Zhongfei Zhang, and David Suter, Recognition of Adult Images, Videos and Webpage Bags, ACM Transactions on Multimedia Computing, Communications and Applications, ACM Press, Volume 7S, Issue 1, October, 2011 Weiming Hu, Xi Li, Xiaoqin Zhang, Xinchu Shi, Stephen Maybank, and Zhongfei Zhang, Incremental Tensor Subspace Learning and Its Applications to Foreground Segmentation and Tracking, International Journal of Computer Vision, Springer, Volume 91, No. 3, pages 303-327, 2011 Bo Long and Zhongfei (Mark) Zhang, A General Model for Relational Clustering, in Data Mining, Edited by Kimito Funatsu, IN-TECH, 2011 Zhongfei (Mark) Zhang and Ruofei Zhang, Multimedia Information Mining, in Multimedia Image and Video Processing, 2nd Edition, Edited by Ling Guan, Yifeng He, and Sun-Yuan Kung, CRC Press, 2011 Yi Xu, Zhongfei (Mark) Zhang, Bo Long, and Philip S. Yu, Pattern Change Discovery between High Dimensional Datasets, Proc. the 20th ACM Conference on Information and Knowledge Management, Glasgow, UK, October, 2011, (15% acceptance rate) [pdf] [code and data] Zhongang Qi, Ming Yang, Zhongfei (Mark) Zhang, and Zhengyou Zhang, Mining Partially Annotated Images, Proc. the 17th ACM Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August, 2011, (6.9% acceptance rate) Jun Gao, Weiming Hu, Zhongfei (Mark) Zhang, Ou Wu, RKOF: Robust Kernel-Based Local Outlier Detection, Proc. the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Shenzhen, China, 2011, (17.5% acceptance rate) 2010 Bo Long, Zhongfei (Mark) Zhang, and Philip S. Yu, Relational Data Clustering: Models, Algorithms, and Applications, Taylor & Francis/CRC Press, 2010, ISBN: 9781420072617 Zhongfei Zhang and Haroon Khan, A Holistic, In-Compression Approach to Mining Independent Motion Segments for Massive Surveillance Video Collections, in Video Search and Mining, Edited by Dan Schonfeld, Caifeng Shan, Dacheng Tao, and Liang Wan, Springer, 2010 Zhongfei (Mark) Zhang and Ruofei Zhang, Multimedia Data Mining, in Data Mining and Knowledge Discovery Handbook, 2nd Ed., Edited by Oded Maimon and Lior Rokach, Springer, 2010 Zhongfei (Mark) Zhang, Bo Long, Zhen Guo, Tianbing Xu, and Philip S. Yu, Machine Learning Approaches to Link-Based Clustering, in Link Mining: Models, Algorithms and Applications, Edited by Philip S. Yu, Christos Faloutsos, and Jiawei Han, Springer, 2010 Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, and Christos Faloutsos, A Max Margin Framework on Image Annotation and Multimodal Image Retrieval, in Multimedia, Edited by Vedran Kordic, IN-TECH, 2010 Zhongfei (Mark) Zhang, Zhen Guo, Christos Faloutsos, Eric P. Xing, and Jia-Yu Pan, On the scalability and adaptability for multimodal image retrieval and image annotation, in Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives, Edited by Roger Wei, Idea Group Inc., 2010 Xi Li, Weiming Hu, Zhongfei (Mark) Zhang, Xiaoqin Zhang, and Guan Luo, Incremental Tensor Subspace Learning and Its Applications to Foreground Segmentation and Tracking, International Journal of Computer Vision, Springer, 2010 Xi Li, Weiming Hu, Hanzi Wang, and Zhongfei (Mark) Zhang, Robust Object Tracking Using A Spatial Pyramid Heat Kernel Structural Information Representation, Nurocomputing, Elsevier Science, 2010 Zhongfei (Mark) Zhang, Zhen Guo, and Jia-Yu (Tim) Pan, A Multiple-Instance Learning Based Approach to Multimodal Data Mining, International Journal of Digital Library Systems, IGI Global, Volume 1, Number 2, Pages 23-41, April-June, 2010 Xi Li, Weiming Hu, Hanzi Wang, and Zhongfei (Mark) Zhang, Linear Discriminant Analysis Using Rotational Invariant L1 Norm, Nurocomputing, Elsevier Science, 2010 Xi Li, Weiming Hu, Zhongfei (Mark) Zhang, and Hanzi Wang, Heat Kernel Based Local Binary Pattern for Face Representation and Classification, IEEE Signal Processing Letters, IEEE Signal Processing Society Press, Volume 17, Issue 3, Pages 308-311, March, 2010 Jun Gao, Weiming Hu, Zhongfei (Mark) Zhang, Ou Wu, Local Outlier detection Based on Kernel Regression, Proc. International Conference on Pattern Recognition, Istanbul, Turkey, August, 2010 Zhen Guo, Shenghuo Zhu, Yun Chi, Zhongfei (Mark) Zhang, and Yihong Gong, Unsupervised Learning from Linked Documents, Proc. International Conference on Pattern Recognition, Istanbul, Turkey, August, 2010 Zhen Guo, Shenghuo Zhu, Zhongfei (Mark) Zhang, Yun Chi, and Yihong Gong, A Topic Model for Linked Documents and Update Rules for its Estimation, Proc. AAAI, Atlanta, GA, USA, July, 2010 2009 Bo Long, Zhongfei (Mark) Zhang, and Philip S. Yu, A General Framework for Relation Graph Clustering, Knowledge and Information Systems Journal, Elsevier Science Press, Accepted, 2009 Zhen Guo, Zhongfei (Mark) Zhang, Shenghuo Zhu, Yun Chi, and Yihong Gong, Knowledge Discovery from Citation Networks, Proc. IEEE International Conference on Data Mining, Miami, FL, USA, December, 2009 Zhen Guo, Shenghuo Zhu, Yun Chi, Zhongfei (Mark) Zhang, and Yihong Gong, A latent topic model for linked documents, Proc. ACM International Conference SIGIR, Boston, MA, USA, July, 2009 Xi Li, Weiming Hu, Zhongfei (Mark) Zhang, and Yang Liu, Spectral Graph Partitioning Based on A Random Walk Diffusion Similarity Measure, Proc. Asian Conference on Computer Vision, XiAn, China, September, 2009 Zhongfew Zhang, Zhen Guo, and Ruofei Zhang, Towards Developing a Unified Multimodal Image Retrieval Framework, Proc. First IEEE International Workshop on Media Information Analysis for Personal and Social Applications, New York, NY, USA, July, 2009 2008 Zhongfei (Mark) Zhang and Ruofei Zhang, Multimedia Data Mining -- A systematic Introduction to Concepts and Theory, Taylor and Francis Group/CRC Press, 2008, ISBN: 9781584889663 Ruofew Zhang and Zhongfei (Mark) Zhang, Solving Small and Asymmetric Sampling Problem in the Context of Image Retrieval, in Artificial Intelligence for Maximizing Content Based Image retrieval, Edited by Zongmin Ma, Idea Group Inc., 2008 Jian Yao, Zhongfei (Mark) Zhang, Sameer Antani, Rodney Long, and George Thoma, Automatic Medical Image Annotation and Retrieval, Neurocomputing, Elsevier Science Press, Bolume 71/10-12, 2008, pp 2012-2022 Xiao-Bing Xue, Zhi-Hua Zhou, and Zhongfei (Mark) Zhang, Improving Web Search Using Image Snippets, ACM Transactions on Internet Technology, ACM Press, in press, 2008 Zhongfei (Mark) Zhang, Haroon Khan, and Mark A. Robertson, A Holistic, In-Compression Approach to Video Segmentation for Independent Motion Detection, EURASIP Journal on Advances in Signal Processing, Hindawi Publishing Co., Article ID 738158, 9 pages, doi:10.1155/2008/738158, Volume 2008, 2008 Zhongfei (Mark) Zhang, Florent Masseglia, Ramesh Jain, and Alberto Del Bimbo, Editorial: Introduction to the Special Issue on Multimedia Data Mining, IEEE Transactions on Multimedia, IEEE Computer Society Press, Volume 10, Number 2, 2008, pp 165 -- 166 Tianbing Xu, Zhongfei Zhang, Philip S. Yu, and Bo Long, Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State, Proc. IEEE International Conference on Data Mining, Pisa, Italy, December, 2008, (9.6% acceptance rate) [pdf] Tianbing Xu, Zhongfei Zhang, Philip S. Yu, and Bo Long, Dirichlet Process Based Evolutionary Clustering, Proc. IEEE International Conference on Data Mining, Pisa, Italy, December, 2008, (9.6% acceptance rate) [pdf] Xi Li, Zhongfei Zhang, Yanguo Wang, and Weiming Hu, Multiclass Spectral Clustering Based on Discriminant Analysis, Proc. International Conference on Pattern Recognition, Tempa, FL, USA, December, 2008, (20.0% acceptance rate) Xi Li, Weiming Hu, Zhongfei Zhang, and Xiaoqin Zhang, Robust Visual Tracking Based on An Effective Appearance Model, Proc. European Computer Vision Conference, Marseille, France, October, 2008, (23.3% acceptance rate) Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, Robust Foreground Segmentation Based on Two Effective Background Models, Proc. ACM International Conference on Multimedia Information and Retrieval, Vancouver, Canada, October, 2008, (20.0% acceptance rate) [pdf] Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, and Guan Luo, Trajectory-Based Video Retrieval Using Dirichlet Process Mixture Models, Proc. British Machine Vision Conference, Leeds, UK, September, 2008, (12.5% acceptance rate) Bo Long, Zhongfei (Mark) Zhang, and Tianbing Xu, Clustering on Complex Graphs, Proc. 23th Conference on Artificial Intelligence (AAAI 2008), Chicago, IL, USA, July, 2008, (24% acceptance rate) [pdf] Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, Mingliang Zhu, Jian Cheng, and Guan Luo, Visual tracking via incremental log-Euclidean Riemannian subspace learning, Proc. IEEE Computer vision and Pattern Recognition, Anchorage, Alaska, USA, June 2008, (27.9% acceptance rate) [pdf] Ming Li, Zhongfei (Mark) Zhang, and Zhi-Hua Zhou, Mining Bulletin Board Systems Using Community Generatio, Proc. Pacific and Asia Knowledge Discovery and Data Mining Conference, Osaka, Japan, May 2008, (11.9% acceptance rate) Bo Long, Philip S. Yu and Zhongfei (Mark) Zhang, A general model for multiple view unsupervised learning, Proc. the SIAM International Conference on Data Mining, Atlanta, GA, 2008, (14% acceptance rate) Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, and Christos Faloutsos, Semi-supervised learning based on semiparametric regularization, Proc. the SIAM International Conference on Data Mining, Atlanta, GA, 2008, (14% acceptance rate) [pdf] 2007 Ruofei Zhang and Zhongfei (Mark) Zhang, Effective Image Retrieval Based on Hidden Concept Discovery in Image Database, IEEE Transaction on Image Processing, Volume 16, Number 2, February, 2007, pp 562 -- 572 Xi Li, Weiming Hu, Zhongfei (Mark) Zhang, Xiaoqin Zhang, and Quan Luo, Robust Visual Tracking Based on Incremental Tensor Subspace Learning, Proc. the IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil, October, 2007[pdf] Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, and Philip S. Yu, Community Learning by Graph Approximation, Proc. the IEEE International Conference on Data Mining, Omaha, NE, USA, October, 2007[pdf] Xi Li, Weiming Hu, and Zhongfei (Mark) Zhang, Corner Detection of Contour Images Using Spectral Clustering, Proc. the 14th IEEE International Conference on Image Processing, San Antonio, TX, USA, September, 2007 Zhongfei Zhang, Zhen Guo, Christos Faloutsos, Eric P. Xing, and Jia-Yu (Tim) Pan, On the scalability and adaptability for multimodal image retrieval and image annotation, Proc. International Workshop on Visual and Multimedia Digital Libraries, Modena, Palazzo Ducale, Italy, September, 2007  Bo Long, Zhongfei (Mark) Zhang, and Philip S. Yu, A Probabilistic Framework for Relational Clustering, Proc. the 13th ACM International Conference on Knowledge Discovery and Data Mining, San Jose, CA, USA, August, 2007 Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, and Christos Faloutsos, Enhanced Max Margin Learning on Multimodal Data Mining in a Multimedia Database, Proc. the 13th ACM International Conference on Knowledge Discovery and Data Mining, San Jose, CA, USA, August, 2007 [pdf][code] Bo Long, Zhongfei (Mark) Zhang, and Philip S. Yu, Graph Partitioning Based on Link Distribution, Proc. the 22nd Annual Conference on Artificial Intelligence (AAAI-07), Vancouver, British Columbia, Canada, July, 2007 Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, and Christos Faloutsos, A Max Margin Framework on Image Annotation and Multimodal Image Retrieval, Proc. the IEEE Annual International Conference on Multimedia and Expo, Beijing, China, July, 2007[pdf] Bo Long, Zhongfei (Mark) Zhang, and Philip S. Yu, Relational Clustering by Symmetric Convex Coding, Proc. the 24th Annual International Conference on Machine Learning, Oregon State University, OR, USA, June, 2007 [pdf] 2006 Duane Gilmour and Zhongfei (Mark) Zhang, Determining Course of Action Alignment with Operational Objectives, Proc. the 11th International Command and Control Research and Technology Symposium, Cambridge, UK, September, 2006, (accepted) Zhongfei (Mark) Zhang, Florent Masseglia, Ramesh Jain, and Alberto Del Bimbo, KDD/MDM 2006: The 7th KDD Multimedia Data Mining Workshop Report, ACM KDD Explorations, ACM Publishers, Volume 8, Issue 2, December, 2006, pp 92 – 95 Ruofei Zhang, Ramesh Sarukkai, Jyh-Herny Chow, Wei Dai, Zhongfei (Mark) Zhang, Joint Categorization of Queries and Clips for Web-based Video Search, Proc. International Workshop on Multimedia Information Retrieval, ACM Press, Santa Barbara, CA, USA, November, 2006 Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, and Philip S. Yu, A General Model for Relational Clustering, Proc. International Workshop on Open Problems in Statistical Relational Learning, ACM Press, Pittsburgh, PA, USA, June, 2006 Ruofei Zhang and Zhongfei (Mark) Zhang, Effective Image Retrieval Based on Hidden Concept Discovery in Image Database, IEEE Transaction on Image Processing, Volume 16, Number 2, February, 2006, pp 562 -- 572 Arif Ghafoor, Zhongfei (Mark) Zhang, Michael S. Lew, and Zhi-Hua Zhou, Guest Editors' Introduction to Machine Learning Approaches to Multimedia Information Retrieval, ACM Multimedia Systems Journal, Springer, August, 2006, Volume 12, No. 1, pp 1–2 Zhongfei (Mark) Zhang, Querying Non-Uniform Image Databases for Biometrics-Related Identification Applications, Sensor Review, Emerald Publishers, Volume 26, Number 2, April, 2006, pp 122 – 126 Ruofei Zhang and Zhongfei (Mark) Zhang, Empirical Bayesian Learning in the Relevance Feedback of Image Retrieval, Image and Vision Computing, Elsevier Science, Volume 24, Issue 3, March, 2006, pp 211 – 223 Ruofei Zhang, Zhongfei (Mark) Zhang, Mingjing Li, Wei-Ying Ma, and Hong-Jiang Zhang, A Probabilistic Semantic Model for Image Annotation and Multi-Modal Image Retrieval, ACM Multimedia Systems Journal, the special issue of Using Machine Learning Approaches to Multimedia Information Retrieval, Springer, August, 2006, Volume 12, No. 1, pp 27-33 Jian Yao and Zhongfei (Mark) Zhang, Hierarchical Shadow Detection for Color Aerial Images, Computer Vision and Image Understanding, Elsevier Science, Volume 102, Issue 1, April, 2006, pp 60 – 69 Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, and Philip S. Yu, Unsupervised Learning on K-partite Graphs, Proc. ACM International Conference on Knowledge Discovery and Data Mining, ACM Press, Philadelphia, PA, USA, August, 2006[pdf] Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, and Philip S. Yu, Spectral Clustering for Multi-Type Relational Data,  Proc. International Conference on Machine Learning, ACM Press, Pittsburgh, PA, USA, June, 2006[pdf] Xiao-Bing Xue, Zhi-Hua Zhou, and Zhongfei (Mark) Zhang, Improve Web Search Using Image Snippets, Proc. the 21st National Conference on Artificial Intelligence, AAAI Press, Boston, MA, USA, July, 2006 Jian Yao, Zhongfei (Mark) Zhang, Sameer Antani, Rodney Long, and George Thoma, Automatic Medical Image Annotation and Retrieval Using SEMI-SECC, Proc. IEEE International Conference on Multimedia and Expo, IEEE Computer Society Press, Toronto, Canada, July, 2006 Jian Yao, Sameer Antani, Rodney Long, and George Thoma, and Zhongfei (Mark) Zhang, Automatic Medical Image Annotation and Retrieval Using SECC, Proc. IEEE International Symposium on Computer Based Medical Systems, IEEE Computer Society Press, Salt Lake City, Utah, USA, June, 2006[pdf] 2005 Ruofei Zhang and Zhongfei (Mark) Zhang, FAST: Towards More Effective and Efficient Image Retrieval, Accepted to appear in ACM Transactions on Multimedia Systems, the special issue on Multimedia Information Retrieval, Springer, 2005 Zhongfei (Mark) Zhang, Ruofei Zhang, Jian Yao, Guangbiao Pu, Paul E. Knudson, Ruth S. Weinstock, and Andrzej Krol, Medical Data on Demand with WebMIA, IEEE Engineering in Medicine and Biology Magazine, IEEE Press, Vol. 24, Number 3, May/June 2005, pp 117  122 Bo Long, Zhongfei (Mark) Zhang, and Philip S. Yu, Combining Multiple Clusterings by Soft Correspondence, Proc. IEEE International Conference on Data Mining, IEEE Computer Society Press, New Orleans, LA, November, 2005[pdf] Jian Yao and Zhongfei (Mark) Zhang, Object Detection in Aerial Imagery Based on Enhanced Semi-Supervised Learning, Proc. IEEE International Conference on Computer Vision, IEEE Computer Society Press, Beijing, China, October, 2005[pdf] Bo Long, Zhongfei (Mark) Zhang, and Philip S. Yu, Co-clustering by Block Value Decomposition, Proc. ACM International Conference on Knowledge Discovery and Data Mining, ACM Press, Chicago, IL, August, 2005[pdf] Ruofei Zhang, Zhongfei (Mark) Zhang, Mingjing Li, Wei-Ying Ma, and Hong-Jiang Zhang, A Probabilistic Semantic Model for Image Annotation and Multi-Modal Image Retrieval, proceedings of the 2005 IEEE International Conference on Computer Vision (ICCV'05), Beijing, China, Oct., 2005.[pdf] Ruofei Zhang and Zhongfei (Mark) Zhang, Image Database Classification based on Concept Vector Model, proceedings of the 2005 IEEE International Conference on Multimedia and Expo (ICME), Amsterdam, The Netherlands, July, 2005. [pdf] Jian Yao and Zhongfei (Mark) Zhang, Semi-Supervised Learning Based Object Detection in Aerial Imagery, proceedings of the 2005 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, CA, Jun., 2005. [pdf] Ruofei Zhang and Zhongfei  (Mark) Zhang, Towards an Efficient and Effective Image Retrieval Engine (to appear), ACM Multimedia Systems Journal, accepted Jan. 2005. 2004 Ruofei Zhang and Zhongfei (Mark) Zhang, Hidden Semantic Concept Discovery in Region Based Image Retrieval, proceedings of the 2004 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Washington, DC, Jun., 2004. [pdf] (Oral presentation) Ruofei Zhang, Zhongfei (Mark) Zhang, and Sandeep Khanzode, A Data Mining Approach to Modeling Relationships Among Categories in Image Collection, proceedings of the 10th ACM International Conference on Knowledge Discovery and Data Mining (ACM KDD), Seattle, WA, Aug. 2004. [pdf] Ruofei Zhang and Zhongfei (Mark) Zhang, Stretching Bayesian Learning in the Relevance Feedback of Image Retrieval, proceedings of the 8th European Conference on Computer Vision (ECCV), Prague, Czech Republic, May, 2004 [pdf] Ruofei Zhang, Sandeep Khanzode, and Zhongfei (Mark) Zhang, Region Based Alpha-Semantics Graph Driven Image Retrieval, proceedings of the 17th International Conference on Pattern Recognition (ICPR), Cambridge, UK, Aug., 2004. [ps] (Oral presentation) Jian Yao and Zhongfei (Mark) Zhang, Systematic Static Shadow Detection, proceedings of the 17th International Conference on Pattern Recognition (ICPR), Cambridge, UK, Aug., 2004. Ruofei Zhang, Zhongfei(Mark) Zhang, and Zhongyuan Qin, Semantic Repository Modeling in Image Database, proceedings of the 2004 IEEE International Conference on Multimedia and Expo (ICME), Taipei, Taiwan, June, 2004. [pdf] (Oral presentation) Ruofei Zhang and Zhongfei(Mark) Zhang, A Robust Color Object Analysis Approach to Efficient Image Retrieval, EURASIP Journal on Applied Signal Processing, Vol. 2004, No. 6, 2004. [pdf] 2003 Zhongfei Zhang and Rohini Srihari, Knowledge Supervised Perceptual Grouping Based qualitative building detection from monocular aerial images, Int'l Journal on Artificial Intelligence Tools, 12(1), 2003. [ps.gz] Ruofei Zhang and Zhongfei(Mark) Zhang, Addressing CBIR Efficiency, Effectiveness, and Retrieval Subjectivity Simultaneously, proceedings of the 5th ACM SIGMM Int'l Workshop on Multimedia Information Retrieval (MIR), in conjunction with ACM Multimedia (ACM MM) 2003, Berkeley, CA, Nov., 2003 [pdf] (Oral presentation) Zhongfei (Mark) Zhang, John J. Salerno, Philip S. Yu, Jingzhou Hua, Ruofei Zhang, Maureen Regan, and Debra Cutler, Applying data mining in investigating money laundering crimes, ACM KDD 2003, Washington DC, Aug., 2003 [pdf] 2002 Zhongfei (Mark) Zhang, Mining Surveillance Video for Independent Motion Detection, Proc. IEEE International Conf. Data Mining (ICDM) 2002, Maebashi City, Japan, Dec., 2002 [pdf] Ruofei Zhang and Zhongfei (Mark) Zhang, A Clustering Based Approach to Efficient Image Retrieval, Proc. IEEE International Conference on Tools with Artificial Intelligence, Washington DC, USA, Nov., 2002       [pdf] (Oral presentation) Zhongfei (Mark) Zhang and Rohini K. Srihari, Subspace Morphing Theory for Appearance Based Object Identification, Pattern Recognition, Elseview Science Press, Vol. 35, No. 11, Nov. 2002, pp 2389 -- 2396 [pdf] Earlier Rohini K. Srihari and Zhongfei Zhang, Show&Tell: A Multimedia System for Semi-Automated Image Annotation, IEEE Multimedia, Vol. 7, No. 3, July -- Sept., 2000, pp 61 -- 71 [pdf] Rohini K. Srihari, Zhongfei Zhang, and Aibing Rao, Intelligent Indexing and Semantic Retrieval of Multimodal Documents, International Journal of Information Retrieval, special issue on Document Analysis, Kluwer Academic Publishers, Vol. 2, No. 2/3, May, 2000, pp 245 -- 275 [ps.gz] Zhongfei Zhang, Richard Weiss, and Allen Hanson, Visual Servoing Control of Autonomous Robot Calibration and Navigation, Journal of Robotic Systems, John Wiley & Sons, Volume 16, Number 6, June, 1999, pp 313 -- 328 [ps.gz] Zhongfei Zhang, Rich Weiss, and Allen Hanson, Obstacle Detection Based on Qualitative and Quantitative 3D Reconstruction, IEEE Transaction on Pattern Analysis and Machine Intelligence, Volume 19, No. 1, Jan. 1997, pp 15 -- 26. [ps.gz] Zhongfei Zhang, Rich Weiss, and Allen Hanson, Qualitative Obstacle Detection, Proc. of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 1994, pp 554 -- 559 [ps.gz] Zhongfei Zhang, Rich Weiss, and Allen Hanson, Automatic Calibration and Visual Servoing for a Robot Navigation System, Proc. of IEEE International Conference on Robotics and Automation (ICRA) 1993, May, 1993, pp 14 -- 19 [ps.gz] Zhongfei Zhang, Rich Weiss, and Edward Riseman, Feature Matching in 360 Degree Waveform for Robot Navigation, Proc. of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 1991, Maui, Hawaii, June, 1991, pp 742 -- 743 Back to Multimedia Research Lab Home Page