Seminars

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• Hypergraph Learning, by Xusong Ning. [PDF][Video]
  2021.04.09
• Vision-Language Pre-training With Transformers(An Overview), by Zhong Zhang. [PDF][Video]
  2021.04.09
• Life Long Learning, by Hongliang Wang. [PDF][Video]
  2021.04.02
• Some Recent Works on Class Incremental Learning, by Jiaming Liu. [PDF][Video]
  2021.04.02
• An Introduction to Keyphrase Extraction, by Cong Xu. [PDF][Video]
  2021.03.26
• Time Series Chains From TSC17 to TSC20, by Chang Yang. [PDF][Video]
  2021.03.26
• Black-box Attack on Graphs, by Zhongjing Yu. [PDF][Video]
  2021.03.19
• Extensions on Deep Metric Learning, by Liangxu Pan. [PDF][Video]
  2021.03.19
• Hidden Markov Model of Dynamic Reverse k Nearest Neighbor, by Jianyun Lu. [PDF][Video]
  2021.03.12
• Novel Class Detection on Data Streams, by Shangxuan Fu. [PDF][Video]
  2021.03.12
• Multi-View Representation with Graph Neural Network, by Xusong Ning. [PDF][Video]
  2021.02.02
• A Brief Introduction of Federated Transfer Learning, by Baoying Li. [PDF][Video]
  2021.02.02
• An Introduction to Normalizing Flow, by Honglian Wang. [PDF][Video]
  2021.01.26
• Time Series Forecasting with Spatial Temporal Graphs, by Chang Yang. [PDF][Video]
  2021.01.26
• Deep Metric Learning, by Liangxu Pan. [PDF][Video]
  2021.01.26
• Few shot learning based on Data Augmentation, by Yue Cao. [PDF][Video]
  2021.01.19
• A Brief Introduction of Transfer Learning, by Zhaoyu Liu. [PDF][Video]
  2021.01.19
• Concept Drift Detection, by Shangxuan Fu. [PDF][Video]
  2021.01.19
• Fairness Research of Federated Learning, by Wenli Jia. [PDF][Video]
  2021.01.12
• An Introduction to Event Detection Methods, by Xiaoxiao Wang. [PDF][Video]
  2021.01.12
• Improvement and Application of Adversarial Example, by Rui Zhang. [PDF][Video]
  2021.01.05
• Semi-supervised Learning on Data Streams, by Hongliang Wang. [PDF][Video]
  2021.01.05
• Fake News Detection A Brief Survey, by Zijiao Wang. [PDF]
  2021.01.05
• Anomaly Detection on Dynamic Graphs, by Kai Qin. [PDF][Video]
  2020.12.29
• An Introduction to Weakly Supervised Anomaly Detection, by Yu Ye. [PDF][Video]
  2020.12.29
• Representation and Organization of Events Based Graph, by Lidan Zhang. [PDF][Video]
  2020.12.29
• Self-supervised Learning by Contrastive Methods, by Jinxia Guo. [PDF][Video]
  2020.12.22
• Improving Communication Efficiency in Federated Learning, by Ebenezer Nanor. [PDF][Video]
  2020.12.22
• How to Deal with Multivariate Time Series with Missing Values, by Yifan Zhuo. [PDF][Video]
  2020.12.15
• Trafficflow prediction based GNN, by Yuanyuan Man. [PDF][Video]
  2020.12.15
• Preserving Privacy in Federated Learning, by Bernard Mawuli Cobbinah. [PDF][Video]
  2020.12.08
• On The Security Issues of Pre-trained Models, by Zhong Zhang. [PDF][Video]
  2020.12.08
• Apply Graph Convolutional Network to Knowledge Graph, by Han Wang. [PDF][Video]
  2020.12.01
• Informtion Theory in Deep Neural Networks, by Wei Han. [PDF][Video]
  2020.12.01
• Cross-Lingual Multi-Label Classification of Text Data, by Jay Kumar. [PDF][Video]
  2020.11.24
• Bias and Debias in RecSys, by Bailin Feng. [PDF][Video]
  2020.11.24
• An Introduction to Few-shot Time Series Prediction, by Minghong Yang. [PDF]
  2020.11.17
• Overview Of Dynamic Graph Embedding, by Lin Li. [PDF]
  2020.11.17
• Recommendation Systems in Production, by Yang Liu. [PDF]
  2020.11.10
• Robust Graph Convolutional Networks, by Wujun Tao. [PDF][Video]
  2020.11.10
• An Introduction to Chinese Spelling Check, by Cong Xu. [PDF][Video]
  2020.11.03
• Attention Mechanics for Multivariate Time Series, by Xiaoshun Yao. [PDF][Video]
  2020.11.03
• Natural Language Processing: Interpretability of Attention, by Jierui Li. [PDF][Video]
  2020.10.27
• From Softmax to Prototype Learning, by Jiaming Liu. [PDF]
  2020.10.27
• Reports about co-training in Munich, by Zhongjing Yu. [PDF]
  2020.10.15
• AutoEncoder – From initiation to burial, by Zhili Qin. [PDF]
  2020.10.15
• Some Recent Research on Graph Neural Networks, by Wujun Tao. [PDF]
  2020.09.29
• SingleLabel and Multi-Label Classification of Text Data in Stream Environment, by Jay Kumar. [PDF]
  2020.09.29
• HBase: The Hadoop database, a distributed, scalable, big data store, by Yifan Zhuo. [PDF]
  2020.09.14
• Some Recent Research Based on Self-supervised Learning, by Yue Cao. [PDF]
  2020.09.14
• Limitations of Graph Neural Networks, by Honglian Wang. [PDF]
  2020.09.01
• Showcase for Transformers, by Zhong Zhang. [PDF]
  2020.08.18
• Recent Session-based and Sequential Recommeder System, by Bolin Feng. [PDF]
  2020.08.18
• Learning Semantic Information in the Sample Self-supervised Learning, by Zhili Qin. [PDF]
  2020.08.04
• Some Recent Researc of Adversarial Defense, by Rui Zhang. [PDF]
  2020.08.04
• An Efficient Network Architecture: Before and After Training, by Wei Han. [PDF]
  2020.07.21
• Graph Embedding, by Lin Li. [PDF]
  2020.07.21
• The Non IID Data Challenge in Federated Learning(FL), by Bernard Mawuli Cobbinah. [PDF]
  2020.07.07
• Some methods for MTS classification, by Xiaoshun Yao. [PDF]
  2020.07.07
• Next Poi Recommendation, by Yang Liu. [PDF]
  2020.06.23
• Some Works about Extreme Values in Time Series, by Yuanyuan Man. [PDF]
  2020.06.23
• Open-set Recognition and Learning, by Jiaming Liu. [PDF]
  2020.06.09
• Research and Job Search Experience Sharing, by Yao Yang. [PDF]
  2020.06.09
• Deep Embedding Clustering, by Han Wang. [PDF]
  2020.05.26
• Recent Advances on Graph Neural Network, by Di Wu. [PDF]
  2020.05.26
• Time Series Prediction Based on Attention Mechanism, by Hongcai Wu. [PDF]
  2020.05.10
• Dynamic Graph Representation Learning, by Kai Qin. [PDF]
  2020.05.10
• Chinese Named Entity Recognition with Lexical Information, by Cong Xu. [PDF]
  2020.04.28
• Some Advances about Few Learning, by Minghong Yang. [PDF]
  2020.04.28
• Contextualized Word Representations, by Cong Xu. [PDF]
  2020.01.07
• Data Stream Learning under Infinite Label Delay, by SALAH UD DIN. [PDF]
  2020.01.07
• Introduction to Adversarial Example, by Rui Zhang. [PDF]
  2019.12.24
• Anomaly Detection for Time Series, by Xiaoshun Yao. [PDF]
  2019.12.24
• Model-based Approaches for Short Text Stream Clustering, by Jay Kumar. [PDF]
  2019.12.10
• Matrix Completion and Hawkes Process in Recsys, by Bailin Feng. [PDF]
  2019.12.10
• Federated Learning in the Era of Privacy Concerns, by Bernard Mawuli Cobbinah. [PDF]
  2019.11.26
• Some Advance of Attributed Network Embedding, by Wujun Tao. [PDF]
  2019.11.26
• Continual Learning, by Jiaming Liu. [PDF]
  2019.11.12
• Dynamic Network Embedding, by Honglian Wang. [PDF]
  2019.10.29
• Gradient Descent based Optimization Algorithms for Deep Learning, by Hongcai Wu. [PDF]
  2019.10.29
• Some Recent Advances about Few Shot Learning, by Yue Cao. [PDF]
  2019.10.22
• Reinforcement Learning for Recommender Systems, by Yang Liu. [PDF]
  2019.10.22
• Adversarial Training-based Domain Adaptation, by Yu Ye. [PDF]
  2019.10.15
• Another Way to Optimized Objective Function-Evolution Strategy, by Zhili Qin. [PDF]
  2019.10.15
• Interpret the Generalization Ability of Deep Learning From the Perspective of Fourier Analysis, by Wei Han. [PDF]
  2019.09.24
• Some Advances of Neural Network Architecture in Image Classification, by Yifan Zhuo. [PDF]
  2019.09.24
• Conditional Random Field for Sequence Labeling, by Zhong Zhang. [PDF]
  2019.09.10
• Graph Based Approaches for Recommendation, by Haoran Chen. [PDF]
  2019.09.10
• Session-based Recommender Systems, by Yang Liu. [PDF]
  2019.07.23
• Feature-Evolving Data Stream Mining, by Jiaqi Peng. [PDF]
  2019.07.23
• Deep Models for Text Semantic Match, by Di Wu. [PDF]
  2019.07.09
• A Survey of CTR Prediction Evolution Process, by Didi Kang. [PDF]
  2019.07.09
• Recent Advances in Semi-supervised Data Streams, by Yu Ye. [PDF]
  2019.06.11
• Modular Neural Network, by Wei Han. [PDF]
  2019.06.11
• Distributed Deep Learning Framework: A Brief Introduction, by Haoran Chen. [PDF]
  2019.05.21
• Some Challenges of Graph Convolution Networks, by Zhongjing Yu. [PDF]
  2019.05.21
• Learning Concept Drifting Data Stream with Limited Labels, by SALAH UD DIN. [PDF]
  2019.05.07
• Temporal Sequences Modeling with Neural Networks, by Hongcai Wu. [PDF]
  2019.05.07
• Methods and Possibilities to Utilize Complex Numbers, Start from Knowledge Graph Embedding, by Yao Yang. [PDF]
  2019.04.16
• A Brief Introduction of Automatic Machine Learning, by Dongzi Chen. [PDF]
  2019.04.16
• Semi-supervised GANs, by Jiaming Liu. [PDF]
  2019.04.02
• Introduction of GAN(Generative Adversarial Networks), by Yifan Zhuo. [PDF]
  2019.04.02
• When Multi-label Learning Meets Deep Neural Networks, by Peiyan Li. [PDF]
  2019.03.19
• Few-shot and Zero-shot Learning, by Zhili Qin. [PDF]
  2019.03.19
• Attention is All You Need, by Honglian Wang. [PDF]
  2019.03.05
• The Softmax Bottleneck for RNN-based Language Model, by Zhong Zhang. [PDF]
  2019.03.05
• Introduction of DQN, by Yang Liu. [PDF]
  2019.01.22
• High-order Structure in Networks, by Haoran Chen. [PDF]
  2019.01.22
• Recommendation in Industry, by Didi Kang. [PDF]
  2019.01.08
• Regression on Data Stream with Incremental Trees, by Dongzi Chen. [PDF]
  2019.01.08
• An Introduction to GBDT Zoo and Some Feature Engineering Tricks, by Cong Xu. [PDF]
  2018.12.18
• Capsule Neural Network and Discussion on Synchronization Neural Network, by Wei Han. [PDF]
  2018.12.18
• Deep Learning Based Recommender System, by Yi Zhao. [PDF]
  2018.12.04
• Classification with Novel Class Detection in Data Streams, by Salah Ud din. [PDF]
  2018.12.04
• Mathematical Derivation of SVM and Top-k Multi-Class SVM, by Yifan Zhuo. [PDF]
  2018.11.20
• Introduction of Graph Convolutional Neural Networks, by Zhongjing Yu. [PDF]
  2018.11.20
• Language Model and Attention Mechanism, by Zhong Zhang. [PDF]
  2018.11.06
• Keras: The Python Deep Learning library, by Hongcai Wu. [PDF]
  2018.11.06
• Dirichlet Process: Theoretic Introduction, Extensions and Applications, by Di Wu. [PDF]
  2018.10.23
• Max-margin DeepWalk and Hierarchical Representation Learning for Networks, by Yao Yang. [PDF]
  2018.10.23
• From Riemann Hypothesis to Block Chain, by Jiaming Liu. [PDF]
  2018.10.09
• Some Methods to Solve L1 Norm Objective Function, by Zhili Qin. [PDF]
  2018.10.09
• Heterogeneous Information Learning and Representation, by Honglian Wang. [PDF]
  2018.09.25
• Density-based Local Outlier Detection in Data Stream, by Jiaqi Peng. [PDF]
  2018.09.25
• On the Stability of the Dynamic System, by Zhong Zhang. [PDF]
  2018.09.11
• Fast Cross-layer Dependency Network Inference on Multi-layered Networks, by Yao Yang. [PDF]
  2018.08.28
• Visualizing Convolutional Networks, by Jiaming Liu. [PDF]
  2018.08.28
• Scalable Methods for Network Embedding, by Haoran Chen. [PDF]
  2018.08.14
• What Makes Spark Faster than MapReduce, by Yi Zhao. [PDF]
  2018.07.31
• Tutorial on tensorflow usage, by Wei Han. [PDF]
  2018.07.31
• Instance Selection for Regression, by Dongzi Chen. [PDF]
  2018.07.17
• Matrix Factorization Technique in Recommender Systems, by Didi Kang. [PDF]
  2018.07.17
• Recurrent Neural Networks and Network Variants, by Hongcai Wu. [PDF]
  2018.07.03
• Adaptive Sliding Window in Data Stream, by Jiaqi Peng. [PDF]
  2018.07.03
• It is All Starting From the Kernel K-means, by Zhong Zhang. [PDF]
  2018.06.19
• Correlation Information in Multi-label Classification, by Zhili Qin. [PDF]
  2018.06.19
• Point-of-interest Recommendation in Location-based Social Networks, by Yi Zhao. [PDF]
  2018.06.05
• Rule Learning, by Heng Zhang. [PDF]
  2018.06.05
• Relation Extraction, Embedding and Inference for Knowledge Graph, by Di Wu. [PDF]
  2018.05.22
• Data Mining for Urban Planning, by Songling Liu. [PDF]
  2018.05.22
• hdoop and Other Stuff, by Chen Huang. [PDF]
  2018.04.17
• Recommendation Systems with Diversity, by Chongming Gao. [PDF]
  2018.04.03
• Introduction to Subspace Clustering, by Cong Xu. [PDF]
  2018.04.03
• The Inconsistency in Multi-label Learning-Inspiration and Discussion, by Peiyan Li. [PDF]
  2018.03.20
• Attributed Network Embedding, by Zhongjing Yu. [PDF]
  2018.03.20
• Local Event Detection in Geo-Tagged Tweet Streams, by Honglian Wang. [PDF]
  2018.03.10
• Gaussian Processes Regression, by Jiaming Liu. [PDF]
  2018.03.10
• RNN and LSTM, by Ruizhi Wu. [PDF]
  2018.01.17
• Community Detection and Feature Selection in Attributed Networks, by Haoran Chen. [PDF]
  2018.01.03
• Temporal Recommendation, by Didi Kang. [PDF]
  2017.12.20
• Learning in the Presence of Class Imbalance and Concept Drift, by Dongzi Chen. [PDF]
  2017.12.20
• Optimization in ML- chap 1, by Chen Huang. [PDF]
  2017.12.07
• Two Ways to Solve Extreme Multi-label Learning Task, by Zhili Qin. [PDF]
  2017.12.07
• ICDM SHARE, by Junming Shao. [PDF]
  2017.12.01
• Trajectory Indexing and Retrieval, by Yi Zhao. [PDF]
  2017.11.27
• Introduction to Link Prediction, by Xiaolin Yang. [PDF]
  2017.11.27
• Inverse Variance-Based Network Inference and Clustering, by Yao Yang. [PDF]
  2017.11.08
• Neural Variational Inference, by Di Wu. [PDF]
  2017.11.08
• Distributed ML, by Chen Huang. [PDF]
  2017.10.25
• Introduction to Subspace Clustering, by Zhong Zhang. [PDF]
  2017.10.25
• Paper Sharing: Clustering and Embedding, by Peiyan Li. [PDF]
  2017.10.11
• Paper Sharing: L-EnsNMF , by Chongming Gao. [PDF]
  2017.10.11
• Watermarking in High Efficiency Video Coding , by Salahuddin. [PDF]
  2017.10.11
• Graph Mining KDD’17 , by Zhongjing Yu. [PDF]
  2017.09.20
• Knowledge Graph , by Songling Liu. [PDF]
  2017.09.06
• Reinforcement Learning , by Heng Zhang. [PDF]
  2017.09.06
• The Models for Modeling Dependencies in Document Streams , by Dongzi Chen. [RAR]
  2017.08.09
• Iterative Re-weighted Method , by Zhong Zhang. [PDF]
  2017.08.09
• Representation-based Transfer Learning and Some Advances, by Wei Han. [PDF]
  2017.07.26
• A Fun Tutorial of Deep Learning, by Junhua Chen. [PDF]
  2017.07.26
• Game Theoretic Modeling of Network Formation, by Xiaolin Yang. [PDF]
  2017.06.28
• Poisson distribution Poisson factorization Poisson process, by Ruizhi Wu. [PDF]
  2017.06.14
• Bayesian Machine Learning Some Basics, by Chen Huang. [PDF]
  2017.06.14
• Poisson Factorization, by Yi Zhao. [ZIP]
  2017.05.31
• Some Variants of Topic Models Based on LDA, by Di Wu. [ZIP]
  2017.05.31
• Graphical Models: From Theory to Programing, by Junhua Chen. [Code]
  2017.05.17
• Label Distribution Learning, by Wei Han. [PDF]
  2017.05.03
• Ensemble Learning and Two Popular Papers, by Chongming Gao [PDF]
  2017.05.03
• Power Iteration Based Clustering, by Zhen Wang. [PDF]
  2017.04.19
• SNE, t-SNE, LargeVis, Word2Vec and Node2Vec, by Peiyan Li. [PDF]
  2017.04.14
• Road Network Trajectory, by Songling Liu. [PDF]
  2017.04.14
• Graph Stream Mining: Clustering On Dynamic Networks, by Zhongjing Yu. [PDF]
  2017.04.07
• Introduction to Network Embedding, by Wenbao Li. [PDF]
  2017.04.07
• Hash Learnig, by Feng Huang. [PDF]
  2017.03.31
• Learning to Rank, by Ruizhi Wu. [PDF]
  2017.03.22
• XGBoost, by Heng Zhang. [PDF]
  2017.03.22
• Online Learning, by Chen Huang. [PDF]
  2017.03.17
• Research Issues in Data Stream Association Rule Mining, by Shasha Luo. [PDF]
  2017.03.17
• Multi-View Learning: NMF Based Method, by Zhong Zhang. [PDF]
  2017.03.08
• Can people cooperate in prisoners dilemma , by Xiaolin Yang. [PDF]
  2017.03.08
• The Instance Selection For Active Learning , by Dongzi Chen. [PDF]
  2017.03.01
• Generalized Linear Model , by Jiaming Liu. [PDF]
  2017.03.01
• Correlation-Based Methods in Multi-label Learning , by Peiyan Li. [PDF]
  2017.01.11
• Representative Selection: See All By Looking at A Few , by Di Wu. [PDF]
  2017.01.11
• Discussion on Spatial-temporal Learning: Similarity and Outlier , by Ruizhi Wu. [PDF]
  2016.12.28
• Moving Together Pattern , by Yi Zhao. [PDF]
  2016.12.14
• Distributed Processing , by Feng Huang. [PDF]
  2016.12.14
• Discussion on Feature Engineering: Learning Representation , by Chen Huang. [PDF]
  2016.12.07
• Start From Star: Deep Learning and Neuroscience , by Wei, Han. [PDF]
  2016.11.30
• Discussion on Complex Network: From Ranking to Application , by Zhongjing Yu. [PDF]
  2016.11.23
• Auto-Encoding Variational Bayes , by Qiyu Liu. [PDF]
  2016.11.16
• Heterogeneous network related Recommendation , by Wenbao Li. [PDF]
  2016.11.16
• Discussion on Data Stream , by Feng Huang. [PDF]
  2016.11.09
• Two States of Compressed Sensing, by Chongming Gao. [PDF]
  2016.10.26
• Survival and Hazard Models, by Junhua Chen. [PDF]
  2016.10.19
• Metric Learnig, by Songling Liu. [PDF]
  2016.10.12
• Computational Advertising, by Feng Huang. [PDF]
  2016.10.12
• nOSTP, by Joshua. [PDF]
  2016.09.21
• Strategic Network Formation, by Zhongjing Yu. [PDF]
  2016.09.21
• Learning Model Trees From Evolving Data Streams, by Heng Zhang. [PDF]
  2016.09.14
• A Brief View of Robust Semi-supervised Classification, by Chen Huang. [PDF]
  2016.09.07
• Subspace Clustering, by Zhong Zhang. [PDF]
  2016.08.31
• An Introduction to Game Theory, by Xiaolin Yang. [PDF]
  2016.08.31
• Structure Aware Sampling in Data Streams, by Yue Tan. [PDF]
  2016.08.24
• Regularity and Conformity Location Prediction Using Heterogeneous Mobility Data, by Ruizhi Wu. [PDF]
  2016.08.24
• From Sparse Representation to Low Rank Representation, by Peiyan Li. [RAR]
  2016.07.27
• How To Define Outlier, by Feng Huang. [RAR]
  2016.07.27
• Information Diffusion and External Influence in Networkss, by Zhongjing Yu. [PDF]
  2016.06.29
• A Matrix Factorization Method for Clustering in Heterogeneous Information Networks, by Wenbao Li. [PDF]
  2016.06.29
• Summarization of PGM, by Feng Huang. [PDF]
  2016.06.15
• Structure Learning, by Zhongjing Yu. [PDF]
  2016.06.01
• Graph Model Chap 17, by Junhua Chen. [PDF]
  2016.06.01
• Graph Model Chap 16, by Junhua Chen. [PDF]
  2016.06.01
• Kalman Filtering, by Heng Zhang. [PDF]
  2016.06.01
• MAP Inference, by Qinyuan Liu. [PDF]
  2016.05.25
• Graph Model Chap 12, by Xiaolin Yang. [PDF]
  2016.05.25
• Graph Model Chap 11, by Wenbao Li. [PDF]
  2016.05.25
• Graph Model Chap 9 and Chap 10, by Zhong Zhang. [PDF]
  2016.05.11
• Graph Model Chap 7 and Chap 8, by Xinzuo Wang. [PDF]
  2016.05.06
• Graph Model Chap 5 and Chap 6, by Ruizhi Wu. [PDF]
  2016.05.06
• Graph Model Chap 4, by Chen Huang. [PDF]
  2016.04.27
• Graph Model Chap 3, by Feng Huang. [PDF]
  2016.04.20
• Graph Model Chap 1 and Chap 2, by Xinwu Chen. [PDF]
  2016.04.20
• RankClus, by Xiaolin Yang. [RAR]
  2016.04.06
• Variational Inference, by Junhua Chen. [RAR]
  2016.04.06
• Edit distance and SOM, by Songling Liu. [RAR]
  2016.03.30
• Incremental SVM, by Heng Zhang. [PDF]
  2016.03.30
• FengFeng-KNN, by Feng Huang. [PDF]
  2016.03.23
• Graphical Model, by Chen Huang. [PDF]
  2016.03.16
• A Bayesian View to LDA and Dirichlet, by Chongming Gao. [PDF]
  2016.03.16
• Multiple Kernel Learning, by Zhong Zhang. [PDF]
  2016.03.09
• Graph Similarity Measures, by Xinzuo Wang. [PDF]
  2016.03.09
• Dirichlet Process, by Zhongjing Yu. [PDF]
  2016.03.03
• Criteria for model selection, by Wenbao Li. [PDF]
  2016.03.03
• Cost and Preference in Recommender System, by Junhua Chen. [PDF]
  2016.01.20
• Quantifying long-term Scientific Impact, by Ruiqi Yang. [PDF]
  2016.01.20
• Supervised Metric Learning, by Songling Liu. [PDF]
  2016.01.13
• Co-clustering, by Qinyuan Liu. [PDF]
  2016.01.13
• Trajectory Similarity Measurements, by Wei Wang. [PDF]
  2016.01.06
• Lifelong Learnig, by Huaxiu Yao. [PDF]
  2016.01.06
• Ensemble Learning, by Fangfang Chen. [PDF]
  2015.12.30
• Symbolic Aggregate ApproXimation, by Zhong Zhang. [PDF]
  2015.12.23
• Dimensional Reduction, by Feng Huang. [PDF]
  2015.12.16
• PageRank, by Xiaolin Yang. [PDF]
  2015.12.09
• A SURVEY OF SYNOPSIS CONSTRUCTION IN DATA STREAMS, by Yue Tan. [PDF]
  2015.12.09
• HMM, by Chongming Gao. [PDF]
  2016.12.02
• Outlier Detection of Trajectory, by Yuanliang Zhang. [PDF]
  2015.11.25
• Concept Drift, by Ke Yan. [PDF]
  2015.11.25
• A Self-Exciting Point Process Model, by Ruiqi Yang. [PDF]
  2015.11.16
• Online Learning, by Jiatu Shi. [PDF]
  2015.11.16
• Functional Connectome Fingerprinting, by Zhang Zhong. [PDF]
  2015.11.11
• Trajectory Clustering, by Ruizhi Wu. [PDF]
  2015.11.04
• Popularity versus Similarity in Growing Network, by Zhongjing Yu. [PDF]
  2015.10.28
• Community Detection Method in HetNet_VEPathClus, by Wenbao Li. [PDF]
  2015.10.28
• Recommendation based on personal personality, by Junhua Chen. [PDF]
  2015.10.21
• Unsupervised Feature Selection, by Songling Liu. [PDF]
  2015.10.21
• Network Reconstruction , by Xinzuo Wang. [PDF]
  2015.10.14
• Data Stream Learning, by Feng Huang. [PDF]
  2015.10.14
• Big Data Analysis Tool, by Ruizhi Wu. [PDF]
  2015.09.23
• LDA, by Chen Huang. [PDF]
  2015.09.16
• Time Series Analysis, by Heng Zhang. [PDF]
  2015.09.16
• Community and Role Model, by Zhongjing Yu. [PDF]
  2015.09.02
• Hierarchical Data Stream Compression, by Yue Tan. [PDF]
  2015.07.23
• Clustering in Heterogeneous Information Network, by Wenbao Li. [PDF]
  2015.07.09
• Learning and VC dimension, by Chen Huang. [PDF]
  2015.05.21
• Graph Summarization with bounded error, by Yue Tan. [PDF]
  2015.05.07
• Auxiliary Domain Selection in Cross-Domain Collaborative Filtering, by Chang Yi. [PDF]
  2015.04.23
• Mining Heterogeneous Network, by Jiatu Shi. [PDF]
  2015.04.09
• Deep Learning, by Nan Meng. [PDF]
  2015.03.13
• Class Posterior Probability, by Kai Wang. [PDF]
  2015.03.13
• Regularization, by Wenbao Li. [PDF]
  2015.01.20
• Tensor and Its Decomposition, by Zhichao Han. [PDF]
  2015.01.08
• Mean Field Theoryh, by Jiatu Shi. [PDF]
  2014.12.11
• Ranking with multiple hyperplanes, by Tao Qin. [PDF]
  2014.11.21
• Bayes Learning, by Kai Wang. [PDF]
  2014.11.13
• Networks & Economic Development , by Jinhu Liu. [PDF]
  2014.11.06
• Recommendation algorithms in the macro-evolving network, by Xiao Hu. [PDF]
  2014.11.06
• Sampling for Big Data , by Yue Tan. [PDF]
  2014.10.30
• Multiple Kernel Learning, by Hao Pan. [PDF]
  2014.10.30
• Tansfer Learning, by Wenbao Li. [PDF]
  2014.10.23
• Trajectory Data Mining, by Zhichao Han. [PDF]
  2014.10.23
• Sync Data Stream Classification, by Yi Liu. [PDF]
  2014.10.17
• Local Sensitive Hash, by Xinzuo Wang. [PDF]
  2014.10.17