Seminars


  • Simple Tricks on Dynamic Graph Model, by Zhenqiang Wang. [PDF][Video]
    2024.01.02
  • Text Information in Graph, by Shuojin Huang. [PDF][Video]
    2024.01.02
  • Replay-Free Continual Learning based on revived prototypes, by Lei Liu. [PDF][Video]
    2024.01.02
  • SAD Semi-Supervised Anomaly Detection on Dynamic Graphs, by Quan Wu. [PDF][Video]
    2023.12.26
  • Consistency is All You Need, by Rui Zhang. [PDF][Video]
    2023.12.19
  • New Approaches in Attribute Graph Representation learning, by Jiahua Kang. [PDF][Video]
    2023.12.19
  • Innovation in utilizing unlabeled datas based on GCD model, by Deshuai Zhang. [PDF][Video]
    2023.12.19
  • Key-Event Feature-wise transformation–Poor guys’ CLIP, by Zhili Qin. [PDF][Video]
    2023.12.12
  • Learn to Categorize or Categorize to Learn Self-Coding for Generalized Category Discovery, by Junjiang Li. [PDF][Video]
    2023.12.12
  • New Approaches in Dynamic Graph Representation learning, by Xin Liu. [PDF][Video]
    2023.12.05
  • Key-Event Detection or Sub-Event Detection, by Xiaoxiao Wang. [PDF][Video]
    2023.12.05
  • Time series anomaly detection by contrastive learning, by Zhengming Luo. [PDF][Video]
    2023.12.05
  • Rough Roadmap to LLM-based Researches, by Wei Han. [PDF][Video]
    2023.11.28
  • Self Augmentation: Sequential Masking and Channel Masking, by Puzhen Wang. [PDF][Video]
    2023.11.28
  • iTransformer for time series forecasting, by Zhipeng Jian. [PDF][Video]
    2023.11.28
  • Leben in München, by Jiaming Liu. [PDF][Video]
    2023.11.21
  • Federated Learning for Multimodal Data, by Yuxiao Liu. [PDF][Video]
    2023.11.21
  • LLMs for Recommendation System-A Survey and Directions, by Yangqiming Wang. [PDF][Video]
    2023.11.14
  • Visual Grounding and Tracking with Natural Language, by Chen Liao. [PDF][Video]
    2023.11.14
  • Large Language Models for Time Series, by Enhui Wang. [PDF][Video]
    2023.11.07
  • A Brief Introduction to Partial Label Learning, by Hongliang Wang. [PDF][Video]
    2023.11.07
  • An Investigation of the Practicality of Supervised Knowledge, by Tongze Zhang. [PDF][Video]
    2023.10.31
  • OneNet Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling, by Feichi Hu. [PDF][Video]
    2023.10.31
  • End-to-end Object Detection with Transformer, by Jingyi Zhou. [PDF][Video]
    2023.10.24
  • Dynamic Graph Representation Learning, by Qirui Hao. [PDF][Video]
    2023.10.24
  • Anomaly Detection on Dynamic Graph, by Hongbin Zheng. [PDF][Video]
    2023.10.17
  • Large scale data compression, by Wenpin Sun. [PDF][Video]
    2023.10.10
  • Beyond Efficient Transformer for Long Sequence Tasks, by Liangsen Wang. [PDF][Video]
    2023.10.10
  • Hypergraph for Whole-Slide Images, by Wei Wu. [PDF][Video]
    2023.10.10
  • Can RetNet really inherit transformer?, by Jinxia Guo. [PDF][Video]
    2023.09.26
  • Graph-based Methods for Long-tail Problem, by Xinyu Liu. [PDF][Video]
    2023.09.26
  • GNN Imbalance and an innovative methods for efficient feature extraction, by Yang Duan. [PDF][Video]
    2023.09.26
  • Online Learning with Mix-Typed Streaming Features, by Haifeng Peng. [PDF][Video]
    2023.09.19
  • Two different perspectives improve transfer learning, by Xin Li. [PDF][Video]
    2023.09.19
  • Ensemble learning for Imbalanced Data Streams With Concept Drift, by Zhonglin Wu. [PDF][Video]
    2023.09.12
  • Feature or Label?: The Usage of Unlabeled Sample in SSFSL, by Guangqing Fu. [PDF][Video]
    2023.09.12
  • The bridge of Knowledge and Latent Space, by Shilong Kang. [PDF][Video]
    2023.09.12
  • Tool Learning with Foundation Models, by Hongyuan Liu. [PDF][Video]
    2023.09.05
  • Robust GNN by Contrastive Learning, by Jinkang He. [PDF][Video]
    2023.09.05
  • Crossformer: Transformer Utilizing Crossdimension Dependency For Multivariate Time Series Forecasting, by Lei Zhang. [PDF][Video]
    2023.08.29
  • Applying Prompt in Continual Learning, by lei Liu. [PDF][Video]
    2023.08.29
  • Attention Mechanism in Graph Neural Networks, by Hongbin Zheng. [PDF][Video]
    2023.07.25
  • Hard example mining for Contrastive Representation Learning, by Hongqing Xi. [PDF][Video]
    2023.07.25
  • Domain generalization on time series: A new research topic, by Enhui Wang. [PDF][Video]
    2023.07.18
  • Online active learning for drifting data stream, by Zhonglin Wu. [PDF][Video]
    2023.07.18
  • Robust Learning in the Presence of Data Distribution Shift, by Hongliang Wang. [PDF][Video]
    2023.07.11
  • The ODE Form of the Generate Diffudion Model, by Rui Zhang. [PDF][Video]
    2023.07.11
  • Improved Fine-Tuning by Better Leveraging Pre-Training Data, by Xin Li. [PDF][Video]
    2023.07.04
  • Generalization and enhancement representation of GNN, by Yang Duan. [PDF][Video]
    2023.07.04
  • Kernel Density Estimation over Data Streams, by Pingfu He. [PDF][Video]
    2023.07.04
  • Exploring the Stationarity in Time Series Forecasting, by Feichi Hu. [PDF][Video]
    2023.06.27
  • Mask for graph autoencoders, by Jiahua Kang. [PDF][Video]
    2023.06.27
  • Conformal prediction on data streams and its new approximation method, by Haifeng Peng. [PDF][Video]
    2023.06.13
  • Locating and Editing Knowledge in GPT, by Wei Han. [PDF][Video]
    2023.06.13
  • How does Transformer apply to graph structures, by Lidan Zhang. [PDF][Video]
    2023.06.06
  • Temporal relation is essential in time series forecasting, by Liangsen Wang. [PDF][Video]
    2023.05.30
  • A Brief Introduction to Backdoor Attack, by Shangxuan Fu. [PDF][Video]
    2023.05.30
  • Graph Contrastive Learning with Augmentation, by Xin Liu. [PDF][Video]
    2023.05.30
  • A Brief Introduction to Quantization Method in Deep Learning, by Han Wang. [PDF][Video]
    2023.05.23
  • Adversarial Examples and Data Attribution, by Shilong Kang. [PDF][Video]
    2023.05.23
  • Are Transformers Effective for Time Series Forecasting?, by Ziling Deng. [PDF][Video]
    2023.05.16
  • A Brief INtro to Graph Transformer, by Xinyu Liu. [PDF][Video]
    2023.05.16
  • Novel methods of continuous learning based on transferable representation, by Lei Liu. [PDF][Video]
    2023.05.09
  • Time Series Anomaly Detection using Graph-based Adversarial Network, by Tadiyos. [PDF][Video]
    2023.05.09
  • Suffering in implementing generative replay method, by Zhiqi Qin. [PDF][Video]
    2023.04.25
  • Domain Adaptation Regression, by Zhaoyu Liu. [PDF][Video]
    2023.04.25
  • Correlation between time series, by Baoying Li. [PDF][Video]
    2023.04.18
  • Handling FL Label Distribution Heterogeneity , by Cobbinah Bernard. [PDF][Video]
    2023.04.18
  • Semi-supervised Drifted Stream Learning, by Liangxu Pan. [PDF][Video]
    2023.04.11
  • Say goodbye to machine learning handiwork and embrace MLOps, by Kai Qin. [PDF][Video]
    2023.04.11
  • Insights About The Benefits of Auxiliary Datasets, by Tongze Zhang. [PDF][Video]
    2023.04.04
  • How to accelerate Hierarchical Clustering algorithms? A graph approximation perspective, by Jinxia Guo. [PDF][Video]
    2023.04.04
  • The Renaissance of MLP and the Rethink of Vision models, by Hongyuan Liu. [PDF][Video]
    2023.03.28
  • Mining Statistically Significant Paths in Time Series Data, by Chang Yang. [PDF][Video]
    2023.03.28
  • A Brief Survey on Imbalanced Learning, by Jiaming Liu. [PDF][Video]
    2023.03.21
  • Boosting Few-Shot Learning from Embedding, by Puzhen Wang. [PDF][Video]
    2023.03.21
  • Adaptive Hypergraph Learning, by Wei Wu. [PDF][Video]
    2023.03.14
  • Streaming graph neural network, by Yangqiming Wang. [PDF][Video]
    2023.03.14
  • Classify time series data with deep metric learning, by Zhengming Luo. [PDF][Video]
    2023.03.07
  • Graph Contrastive Learning with Mathematical Skills, by Qirui Hao. [PDF][Video]
    2023.03.07
  • Learning Federated Models Efficiently in the Presence of Heterogeneous Data and Devices, by Eben. [PDF][Video]
    2023.02.28
  • Streaming Hierarchical Clustering, by Xiaoxiao Wang. [PDF][Video]
    2023.02.28
  • Contrastive Pre-Training of GNNs, by Jinkang He. [PDF][Video]
    2023.02.21
  • Une année à Montréal, by Zhong Zhang. [PDF][Video]
    2023.02.21
  • Advanced Methods of Unsupervised Instance Segmentation, by Guangqing Fu. [PDF][Video]
    2023.02.14
  • Applications of attention mechanism in time series forecasting, by Junran Yang. [PDF][Video]
    2023.02.14
  • Efficient utilization and representation of Graph data, by Yang Duan. [PDF][Video]
    2023.01.10
  • Active Learning with Drifting Streaming Data, by Zhonglin Wu. [PDF][Video]
    2023.01.03
  • Approaches to Alleviate Catastrophic Forgetting in Streaming learning, by Lei Liu. [PDF][Video]
    2023.01.03
  • A Brief Survey on Deep Clustering, by Jiaming Liu. [PDF][Video]
    2022.12.20
  • Some Self-supervised Learning Methods on Graphs, by Qirui Hao. [PDF][Video]
    2022.12.20
  • Adaptive learning on weakly labeled stream, by Liangxu Pan. [PDF][Video]
    2022.12.13
  • A series of scalable hierarchical clustering algorithms, by Jinxia Guo. [PDF][Video]
    2022.12.06
  • A brief introduction of domain generalization, by Zhaoyu Liu. [PDF][Video]
    2022.12.06
  • Random Walk Aggregations based Graph Neural Network, by Chang Yang. [PDF][Video]
    2022.11.29
  • Graph, Dynamic and Robustness, by Han Wang. [PDF][Video]
    2022.11.29
  • Can Interpretability Help?, by Wei Han. [PDF][Video]
    2022.11.22
  • Introduction and application of TCN, by Baoying Li. [PDF][Video]
    2022.11.22
  • Time series discord is still competitive, by Zhengming Luo. [PDF][Video]
    2022.11.15
  • Time Series Anomaly Detection, by Tadiyos. [PDF][Video]
    2022.11.15
  • GNN Based Recommendation System and An Improvement, by Xin Liu. [PDF][Video]
    2022.11.08
  • Deep Embedded Clustering Method for Short Texts, by Xiaoxiao Wang. [PDF][Video]
    2022.11.08
  • Novel Approaches for Graph Embedding Learning, by Xinyu Liu. [PDF][Video]
    2022.11.01
  • Encoding nodes position info to enhance GNN representation, by Kai Qing. [PDF][Video]
    2022.11.01
  • Make VAE Great Again, by Zhili Qin. [PDF][Video]
    2022.10.25
  • Better Graph Structure for Better Performance over Node Classification, by Yangqiming Wang. [PDF][Video]
    2022.10.25
  • Time Series: Explaining More Than Predicting, by Ziling Deng. [PDF][Video]
    2022.10.18
  • Communication-Efficient Federated Learning Frameworks, by Ebenezer Nanor. [PDF][Video]
    2022.10.18
  • Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data, by Hongliang Wang. [PDF][Video]
    2022.10.11
  • DeepExtrema: A Deep Learning Approach for Forecasting Block Maximain Time Series Data, by Feichi Hu. [PDF][Video]
    2022.10.11
  • Graph Self-Supervised Learning, by Pingfu He. [PDF][Video]
    2022.09.27
  • Balance the optimization of different modalities, by Hongyuan Liu. [PDF][Video]
    2022.09.27
  • How to improve the performance of embedding for few-shot learning, by Puzhen Wang. [PDF][Video]
    2022.09.20
  • Dynamic network embedding, by Jiahua Kang. [PDF][Video]
    2022.09.20
  • Spatio-temporal fusion in time series graph data, by Wenping Sun. [PDF][Video]
    2022.09.13
  • Handling FL Statistical Heterogeneity Through Personalized Learning, by Cobbinah Bernard. [PDF][Video]
    2022.09.13
  • Hyper-parameter Optimization, by Hongqing Xi. [PDF][Video]
    2022.09.06
  • Uncover the Veil of the Diffusion Model, by Rui Zhang. [PDF][Video]
    2022.09.06
  • Dynamic Neural Networks, by Wei Han. [PDF][Video]
    2022.08.30
  • Multiplex Heterogeneous Graph Neural Network, by Xinyu Liu. [PDF][Video]
    2022.08.23
  • Cluster better with better ‘data’, by Jinxia Guo. [PDF][Video]
    2022.08.23
  • Clustering with Number of Clusters Estimation, by Jiaming Liu. [PDF][Video]
    2022.07.19
  • Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning, by Feichi Hu. [PDF][Video]
    2022.07.12
  • Meta-Seminar: A Seminar about Seminar, by Han Wang. [PDF][Video]
    2022.07.12
  • Use reinforced learning to select high-quality source domain instances, by Junran Yang. [PDF][Video]
    2022.07.05
  • Deep Neural Network Compression: Low Rank Matrix & Tensor Decompositions, by Hongliang Wang. [PDF][Video]
    2022.07.05
  • Attribute Network Embedding, by Jiahua Kang. [PDF][Video]
    2022.06.28
  • Deep Learning Approaches for Data Stream Classification, by Yangqiming Wang. [PDF][Video]
    2022.06.28
  • Learning with not Enough Data: Active Learning, by Puzhen Wang. [PDF][Video]
    2022.06.21
  • Improving the Assortativity of Graphs with Local Mixing Patterns, by Chang Yang. [PDF][Video]
    2022.06.21
  • Restrict Information flow in network: Bottleneck Strategy, by Hongyuan Liu. [PDF][Video]
    2022.06.14
  • Active Learning for Drifting and Predictable Concept Drift, by Zhonglin Wu. [PDF][Video]
    2022.06.14
  • Federated Learning on Data Streams, by Eben. [PDF][Video]
    2022.06.07
  • Revisiting Transformers From The Perspective of Memorization, by Zhong Zhang. [PDF][Video]
    2022.06.07
  • Personalized Federated Learning, by Cobbinah Bernard. [PDF][Video]
    2022.05.31
  • Graph neural networks for Kriging interpolation in time series, by Wenping Sun. [PDF][Video]
    2022.05.31
  • Time Series Anomaly Detection With Association Discrepancy, by Xiaoshun Yao. [PDF][Video]
    2022.05.24
  • Directed Graph Neural Network, by Yuanyuan Man. [PDF][Video]
    2022.05.24
  • Interpretability on Time Series, by Ziling Deng. [PDF][Video]
    2022.05.17
  • Neural Networks Motivated by Partial Differential Equations, by Qirui Hao. [PDF][Video]
    2022.05.17
  • How to use less memory to train models, by Kai Qin. [PDF][Video]
    2022.05.10
  • Robust semi-supervised learning (SSL), by Liangxv Pan. [PDF][Video]
    2022.05.10
  • Some recent research on Multi-instance Learning, by Wenli Jia. [PDF][Video]
    2022.04.26
  • Graph Learning in 2022, by Wujun Tao. [PDF][Video]
    2022.04.26
  • Dynamic Network Embedding Based on Snapshots, by Lin Li. [PDF][Video]
    2022.04.19
  • Knowledge Distillation A Survey, by Xvsong Ning. [PDF][Video]
    2022.04.12
  • Negative transfer based on adversarial network, by Zhaoyu Liu. [PDF][Video]
    2022.04.12
  • The latest research on data poisoning attacks, by Shangxuan Fu. [PDF][Video]
    2022.03.29
  • A Research from Scratch, by Xiaoxiao Wang. [PDF][Video]
    2022.03.29
  • An Overview of Few-shot Class Incremental Learning, by Zhili Qin. [PDF][Video]
    2022.03.22
  • Multi-Label Learning with Limited Supervision, by Hongqing Xi. [PDF][Video]
    2022.03.22
  • Recent Advance in Topic Modeling, by Lidan Zhang. [PDF][Video]
    2022.03.15
  • Anomalous Edge Detection on Dynamic Graphs, by Pingfu He. [PDF][Video]
    2022.03.15
  • How to Write a “Good” Paper, by Junming Shao. [PDF]
    2022.03.08
  • Deepwalk and Matrix Factorization, by Jianyun Lu. [PDF][Video]
    2022.03.08
  • Several methods of pre-training model compression, by Xin Liu. [PDF][Video]
    2022.03.01
  • Toward Fair Outlier Detection, by Yu Ye. [PDF][Video]
    2022.03.01
  • Unsupervised concept drift detection, by Zhengming Luo. [PDF][Video]
    2022.02.22
  • A new direction for generative models Denoising Diffusion Probabilistic Models (DDPM), by Rui Zhang. [PDF][Video]
    2022.02.22
  • Data Stream Regression, by Feichi Hu. [PDF][Video]
    2022.01.21
  • Semi-supervised Learning on Data Streams, by Hongliang Wang. [PDF][Video]
    2022.01.11
  • Localality similarity supervised feature distribution and clustering, by Jinxia Guo. [PDF][Video]
    2022.01.11
  • Online Continual Learning, by Liangxv Pan. [PDF][Video]
    2022.01.04
  • Detecting concept drift by information theory, by Zhonglin Wu. [PDF][Video]
    2022.01.04
  • Novel Approaches in Multivariate Time Series and Graph, by Chang Yang. [PDF][Video]
    2021.12.21
  • Self-supervised Graph Denoising——My previous & current works, by Han Wang. [PDF][Video]
    2021.12.21
  • Semi-supervised methods for novel class detection, by Yangqiming Wang. [PDF]
    2021.12.14
  • Federated Graph Learning, by Wenli Jia. [PDF]
    2021.12.14
  • Some work on spatiotemporal predictive networks, by Zhaoyu Liu. [PDF][Video]
    2021.12.07
  • A New Meta-Baseline For Few-Shot Learning, by Puzhen Wang. [PDF][Video]
    2021.12.07
  • News Recommendation System, by Jay Kumar. [PDF][Video]
    2021.11.23
  • Attributed Network Embedding, by Jiahua Kang. [PDF][Video]
    2021.11.23
  • Memory-Based Architectures, by Baoyin Li. [PDF][Video]
    2021.11.02
  • Open-set Semi-supervised Learning, by Jiaming Liu. [PDF][Video]
    2021.11.02
  • Residual Network Research, by Xusong Ning. [PDF][Video]
    2021.10.26
  • Multivariate Time Series Forecasting(MTSF) With Dynamic Graph, by Wenping Sun. [PDF][Video]
    2021.10.26
  • Discriminative Shapelets for Time Series Classification, by Yuanyuan Man. [PDF][Video]
    2021.10.19
  • GNN Based Dynamic Network Embedding, by Lin Li. [PDF][Video]
    2021.10.19
  • Applications of “Isolation”-from Tree to Kernel, by Yu Ye. [PDF][Video]
    2021.10.12
  • Anomaly Explanation in Deep Detectors, by Bolin Feng. [PDF][Video]
    2021.10.12
  • From multi-thread to distributed system, A unified model, by Kai Qin. [PDF][Video]
    2021.09.14
  • More Expressive Graph Neural Networks, by Wujun Tao. [PDF][Video]
    2021.09.14
  • Graph in Multivariate Time, by Xiaoshun Yao. [PDF][Video]
    2021.09.07
  • Current Approaches in Handling Heterogeneous Federated Learning, by Cobbinah Bernard Mawuli. [PDF][Video]
    2021.09.07
  • Methods for Efficient Federated Learning, by Eben. [PDF][Video]
    2021.08.27
  • Data Poisoning Attack and Defense, by Shangxuan Fu. [PDF][Video]
    2021.08.27
  • Higher result password – some attention methods in computer vision, by Zhili Qin. [PDF]
    2021.08.20
  • Deep Temporal Point Process, by Minghong Yang. [PDF]
    2021.08.20
  • Pay Attention to MLPs-An Overview of Recent Trends, by Zhong Zhang. [PDF][Video]
    2021.07.30
  • View optimization algorithm from perspective of dynamics and introduce to R-Dropout, by Rui Zhang. [PDF][Video]
    2021.07.30
  • Incentive Mechanism for Federated Learning, by Wenli Jia. [PDF][Video]
    2021.07.09
  • New publish password-CV transformer, by Zhili Qin. [PDF][Video]
    2021.07.09
  • AUC Maximization, by Bailin Feng. [PDF]
    2021.07.02
  • Clustering with Instance Discrimination wised Self-Supervised Learning, by Jinxia Guo. [PDF]
    2021.07.02
  • Temporal analysis for Event Detection, by Xiaoxiao Wang. [PDF][Video]
    2021.06.25
  • Few shot learning based on Prototype Learning, by Yue Cao. [PDF][Video]
    2021.06.25
  • Urban-Flow Prediction, by Baoying Li. [PDF][Video]
    2021.06.18
  • Step into Multivariate Time Series Classification, by Xiaoshun Yao. [PDF][Video]
    2021.06.18
  • Introduction to Frequency Principles and Wasserstein Distance, by Rui Zhang. [PDF][Video]
    2021.06.04
  • Deep Learning from the First Principle, by Yu Ye. [PDF][Video]
    2021.06.04
  • Robust Graph Embedding-From Robustness Extension to Graph Denoising, by Han Wang. [PDF]
    2021.05.28
  • Influence Maximization (IM) on Social Networks: An Introduction, by Honglian Wang. [PDF][Video]
    2021.05.28
  • Recent Algorithms for Heterogenous Clients in FL, by Ebenezer Nanor. [PDF][Video]
    2021.05.21
  • Applications of GNN in event detection, by Kai Qin. [PDF][Video]
    2021.05.21
  • Handed datastream in engineering tasks, by Yifan Zhuo. [PDF][Video]
    2021.05.14
  • Federated Learning with Non-IID Data, by Minghong Yang. [PDF][Video]
    2021.05.14
  • Graph Contrastive Learning, by Wujun Tao. [PDF][Video]
    2021.05.07
  • Inductive Learning On Graph, by Lin Li. [PDF][Video]
    2021.05.07
  • Text classification improvement using external knowledge and auxiliary tasks, by Lidan Zhang. [PDF][Video]
    2021.04.30
  • Domain Adaption based Adversarial, by Zhaoyu Liu. [PDF][Video]
    2021.04.23
  • Text Embeddings for Topic Modeling, by Jay Kumar. [PDF][Video]
    2021.04.23
  • Koopman Operator in Deep Learning, by Yuanyuan Man. [PDF][Video]
    2021.04.16
  • Handling Domain Shift in Federated Learning, by Bernard Mawuli Cobbinah. [PDF][Video]
    2021.04.16
  • 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