Mark Junjie Li

According to our database, Mark Junjie Li authored at least 37 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-labeling.

Xu Wang, Yifan Li, Qiudan Zhang, Wenhui Wu, Mark Junjie Li, Jianmin Jinag

CoRR, 2024

Boosting Attributed Graph Anomaly Detection via Negative Sample Awareness.

Jun Li, Meiting Li, Mark Junjie Li, Lingxuan Zhu, Jiang Liu, Gen Zhao, Xiang Luo

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

A Payment Transaction Pre-training Model for Fraud Transaction Detection.

Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Qin Zhang, Mark Junjie Li, Hanjing Su, Qingyao Wu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Encouraging Sparsity in Neural Topic Modeling with Non-Mean-Field Inference.

Jiayao Chen, Rui Wang, Jueying He, Mark Junjie Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Topic Modeling for Short Texts via Adaptive P$\acute{o}$lya Urn Dirichlet Multinomial Mixture.

Mark Junjie Li, Rui Wang, Jun Li, Xianyu Bao, Jueying He, Jiayao Chen, Lijuan He

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Anomaly Detection in Dynamic Graphs Via Long Short-Term Temporal Attention Network.

Zukang Gao, Le-Ming Ma, Mei-Ting Li, Gen Zhao, Mark Junjie Li

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

Multi-modal Chinese Fake News Detection.

Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Mark Junjie Li, Qin Zhang, Philippe Fournier-Viger

Proceedings of the IEEE International Conference on Data Mining, 2023

Anomaly Detection in Directed Dynamic Graphs via RDGCN and LSTAN.

Mark Junjie Li, Zukang Gao, Jun Li, Xianyu Bao, Meiting Li, Gen Zhao

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

An Interval RSP-based ensemble model for big data analysis.

Wenzhu Cai, Mark Junjie Li

Proceedings of the 29th International DMS Conference on Visualization and Visual Languages, 2023

RSP-gcForest: A Distributed Deep Forest via Random Sample Partition.

Mark Junjie Li, Wenzhu Cai, Yigang Lin, Sunjie Huang, Joshua Zhexue Huang, Patrick Xiaogang Peng

Proceedings of the IEEE International Conference on Big Data, 2023

2022

HSGAN: Reducing mode collapse in GANs by the latent code distance of homogeneous samples.

Simin Yu, Kuntian Zhang, Chuan Xiao, Joshua Zhexue Huang, Mark Junjie Li, Makoto Onizuka

Comput. Vis. Image Underst., 2022

Multi-knowledge Embeddings Enhanced Topic Modeling for Short Texts.

Jueying He, Jiayao Chen, Mark Junjie Li

Proceedings of the Neural Information Processing - 29th International Conference, 2022

DuSAG: An Anomaly Detection Method in Dynamic Graph Based on Dual Self-attention.

Weiqin Lin, Xianyu Bao, Mark Junjie Li, Zukang Gao

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Semi-automatic Data Annotation System for Multi-Target Multi-Camera Vehicle Tracking.

Haohong Liao, Silin Zheng, Xuelin Shen, Mark Junjie Li, Xu Wang

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Label-Aware Recurrent Reading for Multi-Label Classification.

Shenglan Ming, Huajun Liu, Ziming Luo, Peng Huang, Mark Junjie Li

Proceedings of the Asia Conference on Algorithms, Computing and Machine Learning, 2022

2021

BTGAN: Training GAN with Balanced Triplet Loss and Two-Branch Architecture.

Simin Yu, Kuntian Zhang, Chuan Xiao, Xianyu Bao, Joshua Zhexue Huang, Mark Junjie Li

Proceedings of the International Joint Conference on Neural Networks, 2021

CmaGraph: A TriBlocks Anomaly Detection Method in Dynamic Graph Using Evolutionary Community Representation Learning.

Weiqin Lin, Xianyu Bao, Mark Junjie Li

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

A hierarchical Gamma Mixture Model-based method for estimating the number of clusters in complex data.

Muhammad Azhar, Joshua Zhexue Huang, Md Abdul Masud, Mark Junjie Li, Laizhong Cui

Appl. Soft Comput., 2020

2019

Grey relational analysis using Gaussian process regression method for dissolved gas concentration prediction.

Shi Xiang Lu, Guoying Lin, Huakun Que, Mark Jun Jie Li, Cheng Hao Wei, Ji Kui Wang

Int. J. Mach. Learn. Cybern., 2019

A Hierarchical Gamma Mixture Model-Based Method for Classification of High-Dimensional Data.

Muhammad Azhar, Mark Junjie Li, Joshua Zhexue Huang

Entropy, 2019

EAN: Event Attention Network for Stock Price Trend Prediction based on Sentimental Embedding.

Yaowei Wang, Qing Li, Zhexue Huang, Mark Junjie Li

Proceedings of the 11th ACM Conference on Web Science, 2019

ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions.

Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2017

Load Pattern Shape Clustering Analysis for Manufacturing.

Mark Junjie Li, Weiguang Liu

Proceedings of the Smart Computing and Communication, 2017

2015

Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests.

Thanh-Tung Nguyen, Joshua Zhexue Huang, Qingyao Wu, Thuy Thi Nguyen, Mark Junjie Li

BMC Genom., 2015

A New Feature Sampling Method in Random Forests for Predicting High-Dimensional Data.

Thanh-Tung Nguyen, He Zhao, Joshua Zhexue Huang, Thuy Thi Nguyen, Mark Junjie Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Forecasting Time Series Water Levels on Mekong River Using Machine Learning Models.

Thanh-Tung Nguyen, Quynh Nguyen Huu, Mark Junjie Li

Proceedings of the 2015 Seventh International Conference on Knowledge and Systems Engineering, 2015

Classifying gene data with regularized ensemble trees.

Thanh-Tung Nguyen, Huong Nguyen, Yinxu Wu, Mark Junjie Li

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

2014

Extensions to Quantile Regression Forests for Very High-Dimensional Data.

Nguyen Thanh Tung, Joshua Zhexue Huang, Imran Khan, Mark Junjie Li, Graham J. Williams

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2012

Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data.

Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Mark Junjie Li, Yunming Ye

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Scalable Random Forests for Massive Data.

Bingguo Li, Xiaojun Chen, Mark Junjie Li, Joshua Zhexue Huang, Shengzhong Feng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

2010

On cluster tree for nested and multi-density data clustering.

Xutao Li, Yunming Ye, Mark Junjie Li, Michael K. Ng

Pattern Recognit., 2010

SKM-SNP: SNP markers detection method.

Yang Liu, Mark Junjie Li, Yiu-ming Cheung, Pak Chung Sham, Michael K. Ng

J. Biomed. Informatics, 2010

CPLDP: An Efficient Large Dataset Processing System Built on Cloud Platform.

Zhiyong Zhong, Mark Junjie Li, Jin Chang, Le Zhou, Joshua Zhexue Huang, Shengzhong Feng

Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2009

SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters.

Liping Jing, Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Joshua Zhexue Huang

Int. J. Data Min. Model. Manag., 2009

2008

Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters.

Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Joshua Zhexue Huang

IEEE Trans. Knowl. Data Eng., 2008

2007

On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm.

Michael K. Ng, Mark Junjie Li, Joshua Zhexue Huang, Zengyou He

IEEE Trans. Pattern Anal. Mach. Intell., 2007

2006

Clustering of SNP Data with Application to Genomics.

Michael K. Ng, Mark Junjie Li, Sio Iong Ao, Pak Chung Sham, Yiu-ming Cheung, Joshua Zhexue Huang

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006