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ORCIDMark Junjie Li
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- affiliation: Shenzhen University, College of Computer Science and Software Engineering, China
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2020 – today
- 2024
[c25]Jun Li, Meiting Li, Mark Junjie Li, Lingxuan Zhu, Jiang Liu, Gen Zhao, Xiang Luo:
Boosting Attributed Graph Anomaly Detection via Negative Sample Awareness. ICANN (5) 2024: 33-47- [i3]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 abs/2404.02527 (2024) - 2023
- [c24]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. IEEE Big Data 2023: 710-717 - [c23]Wenzhu Cai, Mark Junjie Li:
An Interval RSP-based ensemble model for big data analysis. DMSVIVA 2023: 16-23 - [c22]Mark Junjie Li, Zukang Gao, Jun Li, Xianyu Bao, Meiting Li, Gen Zhao:
Anomaly Detection in Directed Dynamic Graphs via RDGCN and LSTAN. ICANN (3) 2023: 1-12 - [c21]Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Mark Junjie Li, Qin Zhang, Philippe Fournier-Viger:
Multi-modal Chinese Fake News Detection. ICDM (Workshops) 2023: 109-117 - [c20]Zukang Gao, Le-Ming Ma, Mei-Ting Li, Gen Zhao, Mark Junjie Li:
Anomaly Detection in Dynamic Graphs Via Long Short-Term Temporal Attention Network. ICMLC 2023: 153-158 - [c19]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: 364-376 - [c18]Jiayao Chen, Rui Wang, Jueying He, Mark Junjie Li:
Encouraging Sparsity in Neural Topic Modeling with Non-Mean-Field Inference. ECML/PKDD (4) 2023: 142-158 - 2022
- [j10]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: 103314 (2022) - [c17]Shenglan Ming, Huajun Liu, Ziming Luo, Peng Huang, Mark Junjie Li:
Label-Aware Recurrent Reading for Multi-Label Classification. CACML 2022: 498-504 - [c16]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: 1-9 - [c15]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: 121-132 - [c14]Jueying He, Jiayao Chen, Mark Junjie Li:
Multi-knowledge Embeddings Enhanced Topic Modeling for Short Texts. ICONIP (3) 2022: 521-532 - [i2]Haohong Liao, Silin Zheng, Xuelin Shen, Mark Junjie Li, Xu Wang:
Semi-automatic Data Annotation System for Multi-Target Multi-Camera Vehicle Tracking. CoRR abs/2209.09606 (2022) - 2021
- [c13]Weiqin Lin, Xianyu Bao, Mark Junjie Li:
CmaGraph: A TriBlocks Anomaly Detection Method in Dynamic Graph Using Evolutionary Community Representation Learning. ICANN (1) 2021: 105-116 - [c12]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: 1-8 - 2020
- [j9]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: 105891 (2020)
2010 – 2019
- 2019
- [j8]Muhammad Azhar, Mark Junjie Li, Joshua Zhexue Huang:
A Hierarchical Gamma Mixture Model-Based Method for Classification of High-Dimensional Data. Entropy 21(9): 906 (2019) - [j7]Shi Xiang Lu, Guoying Lin, Huakun Que, Mark Jun Jie Li, Cheng Hao Wei, Ji Kui Wang:
Grey relational analysis using Gaussian process regression method for dissolved gas concentration prediction. Int. J. Mach. Learn. Cybern. 10(6): 1313-1322 (2019) - [c11]Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li:
ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions. IJCAI 2019: 1488-1494 - [c10]Yaowei Wang, Qing Li, Zhexue Huang, Mark Junjie Li:
EAN: Event Attention Network for Stock Price Trend Prediction based on Sentimental Embedding. WebSci 2019: 311-320 - [i1]Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li:
ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions. CoRR abs/1906.02385 (2019) - 2017
- [c9]Mark Junjie Li, Weiguang Liu:
Load Pattern Shape Clustering Analysis for Manufacturing. SmartCom 2017: 67-80 - 2015
- [j6]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): S5 (2015) - [c8]Thanh-Tung Nguyen, Huong Nguyen, Yinxu Wu, Mark Junjie Li:
Classifying gene data with regularized ensemble trees. ICMLC 2015: 134-139 - [c7]Thanh-Tung Nguyen, Quynh Nguyen Huu, Mark Junjie Li:
Forecasting Time Series Water Levels on Mekong River Using Machine Learning Models. KSE 2015: 292-297 - [c6]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: 459-470 - 2014
- [c5]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: 247-258 - 2012
- [c4]Bingguo Li, Xiaojun Chen, Mark Junjie Li, Joshua Zhexue Huang, Shengzhong Feng:
Scalable Random Forests for Massive Data. PAKDD (1) 2012: 135-146 - [c3]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: 147-158 - 2010
- [j5]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): 233-239 (2010) - [j4]Xutao Li, Yunming Ye, Mark Junjie Li, Michael K. Ng:
On cluster tree for nested and multi-density data clustering. Pattern Recognit. 43(9): 3130-3143 (2010) - [c2]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: 13-20
2000 – 2009
- 2009
- [j3]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): 149-177 (2009) - 2008
- [j2]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): 1519-1534 (2008) - 2007
- [j1]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): 503-507 (2007) - 2006
- [c1]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: 158-162
Coauthor Index
aka: Zhexue Huang
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