Seminars
- 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 Zhongjin 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 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