Seminars


  • 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 Zhongjin 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 Zhongjin 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