Mark Junjie Li

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 20

Top Topics

Linear Non Gaussian

Dimensional Data

Top Venues

Publications

Xu Wang, Yifan Li, Qiudan Zhang, Wenhui Wu, Mark Junjie Li, Jianmin Jinag
Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-labeling. CoRR (2024)
Mark Junjie Li, Rui Wang, Jun Li, Xianyu Bao, Jueying He, Jiayao Chen, Lijuan He
Topic Modeling for Short Texts via Adaptive P$\acute{o}$lya Urn Dirichlet Multinomial Mixture. ICONIP (14) (2023)
Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Mark Junjie Li, Qin Zhang, Philippe Fournier-Viger
Multi-modal Chinese Fake News Detection. ICDM (Workshops) (2023)
Mark Junjie Li, Wenzhu Cai, Yigang Lin, Sunjie Huang, Joshua Zhexue Huang, Patrick Xiaogang Peng
RSP-gcForest: A Distributed Deep Forest via Random Sample Partition. BigData (2023)
Jiayao Chen, Rui Wang, Jueying He, Mark Junjie Li
Encouraging Sparsity in Neural Topic Modeling with Non-Mean-Field Inference. ECML/PKDD (4) (2023)
Wenzhu Cai, Mark Junjie Li
An Interval RSP-based ensemble model for big data analysis. DMSVIVA (2023)
Haohong Liao, Silin Zheng, Xuelin Shen, Mark Junjie Li, Xu Wang
Semi-automatic Data Annotation System for Multi-Target Multi-Camera Vehicle Tracking. DSAA (2022)
Weiqin Lin, Xianyu Bao, Mark Junjie Li, Zukang Gao
DuSAG: An Anomaly Detection Method in Dynamic Graph Based on Dual Self-attention. ICANN (1) (2022)
Jueying He, Jiayao Chen, Mark Junjie Li
Multi-knowledge Embeddings Enhanced Topic Modeling for Short Texts. ICONIP (3) (2022)
Simin Yu, Kuntian Zhang, Chuan Xiao, Joshua Zhexue Huang, Mark Junjie Li, Makoto Onizuka
HSGAN: Reducing mode collapse in GANs by the latent code distance of homogeneous samples. Comput. Vis. Image Underst. 214 (2022)
Haohong Liao, Silin Zheng, Xuelin Shen, Mark Junjie Li, Xu Wang
Semi-automatic Data Annotation System for Multi-Target Multi-Camera Vehicle Tracking. CoRR (2022)
Shenglan Ming, Huajun Liu, Ziming Luo, Peng Huang, Mark Junjie Li
Label-Aware Recurrent Reading for Multi-Label Classification. CACML (2022)
Weiqin Lin, Xianyu Bao, Mark Junjie Li
CmaGraph: A TriBlocks Anomaly Detection Method in Dynamic Graph Using Evolutionary Community Representation Learning. ICANN (1) (2021)
Simin Yu, Kuntian Zhang, Chuan Xiao, Xianyu Bao, Joshua Zhexue Huang, Mark Junjie Li
BTGAN: Training GAN with Balanced Triplet Loss and Two-Branch Architecture. IJCNN (2021)
Muhammad Azhar, Joshua Zhexue Huang, Md Abdul Masud, Mark Junjie Li, Laizhong Cui
A hierarchical Gamma Mixture Model-based method for estimating the number of clusters in complex data. Appl. Soft Comput. 87 (2020)
Muhammad Azhar, Mark Junjie Li, Joshua Zhexue Huang
A Hierarchical Gamma Mixture Model-Based Method for Classification of High-Dimensional Data. Entropy 21 (9) (2019)
Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li
ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions. CoRR (2019)
Yaowei Wang, Qing Li, Zhexue Huang, Mark Junjie Li
EAN: Event Attention Network for Stock Price Trend Prediction based on Sentimental Embedding. WebSci (2019)
Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li
ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions. IJCAI (2019)
Mark Junjie Li, Weiguang Liu
Load Pattern Shape Clustering Analysis for Manufacturing. SmartCom (2017)
Thanh-Tung Nguyen, He Zhao, Joshua Zhexue Huang, Thuy Thi Nguyen, Mark Junjie Li
A New Feature Sampling Method in Random Forests for Predicting High-Dimensional Data. PAKDD (2) (2015)
Thanh-Tung Nguyen, Joshua Zhexue Huang, Qingyao Wu, Thuy Thi Nguyen, Mark Junjie Li
Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests. BMC Genom. 16 (S-2) (2015)
Thanh-Tung Nguyen, Quynh Nguyen Huu, Mark Junjie Li
Forecasting Time Series Water Levels on Mekong River Using Machine Learning Models. KSE (2015)
Thanh-Tung Nguyen, Huong Nguyen, Yinxu Wu, Mark Junjie Li
Classifying gene data with regularized ensemble trees. ICMLC (2015)
Nguyen Thanh Tung, Joshua Zhexue Huang, Imran Khan, Mark Junjie Li, Graham J. Williams
Extensions to Quantile Regression Forests for Very High-Dimensional Data. PAKDD (2) (2014)
Bingguo Li, Xiaojun Chen, Mark Junjie Li, Joshua Zhexue Huang, Shengzhong Feng
Scalable Random Forests for Massive Data. PAKDD (1) (2012)
Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Mark Junjie Li, Yunming Ye
Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data. PAKDD (1) (2012)
Yang Liu, Mark Junjie Li, Yiu-ming Cheung, Pak Chung Sham, Michael K. Ng
SKM-SNP: SNP markers detection method. J. Biomed. Informatics 43 (2) (2010)
Zhiyong Zhong, Mark Junjie Li, Jin Chang, Le Zhou, Joshua Zhexue Huang, Shengzhong Feng
CPLDP: An Efficient Large Dataset Processing System Built on Cloud Platform. ADMA (2) (2010)
Xutao Li, Yunming Ye, Mark Junjie Li, Michael K. Ng
On cluster tree for nested and multi-density data clustering. Pattern Recognit. 43 (9) (2010)
Liping Jing, Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Joshua Zhexue Huang
SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters. Int. J. Data Min. Model. Manag. 1 (2) (2009)
Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Joshua Zhexue Huang
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters. IEEE Trans. Knowl. Data Eng. 20 (11) (2008)
Michael K. Ng, Mark Junjie Li, Joshua Zhexue Huang, Zengyou He
On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 29 (3) (2007)
Michael K. Ng, Mark Junjie Li, Sio Iong Ao, Pak Chung Sham, Yiu-ming Cheung, Joshua Zhexue Huang
Clustering of SNP Data with Application to Genomics. ICDM Workshops (2006)