Mark Junjie Li

42 papers A* 1A 3B 3Misc 2Journal 14Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Anomaly detection in attributed networks via local multi-order contrastive learning and global topology awareness. Neurocomputing Mark Junjie Li, Gen Zhao, Sunjie Huang, Qin Zhang, Jiang Liu, Meiting Li, Jun Li
2025	A	`conf`	Dual-Space Contrastive Learning with Abnormal Edge Suppression for Graph Anomaly Detection. ECAI Mark Junjie Li, Shiyang He, Jun Li, Jinren Li, Gen Zhao, Jiang Liu, Sunjie Huang
2025	A	`conf`	LaPNER: Label-Aware Prompt Learning with Non-Entity Clustering Regularization for Few-Shot NER. ECAI Mark Junjie Li, Tao Zou, Sunjie Huang, Yigang Lin, Qilong Gong, Jun Li
2024	A	`conf`	A Payment Transaction Pre-training Model for Fraud Transaction Detection. CIKM Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Qin Zhang, Mark Junjie Li, Hanjing Su, Qingyao Wu
2024	—	`conf`	Boosting Attributed Graph Anomaly Detection via Negative Sample Awareness. ICANN (5) Jun Li, Meiting Li, Mark Junjie Li, Lingxuan Zhu, Jiang Liu, Gen Zhao, Xiang Luo
2024	J	`jnl`	Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-Labeling. IEEE Trans. Multim. Xu Wang, Yifan Li, Qiudan Zhang, Wenhui Wu, Mark Junjie Li, Lin Ma, Jianmin Jiang
2024	J	`jnl`	Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-labeling. CoRR Xu Wang, Yifan Li, Qiudan Zhang, Wenhui Wu, Mark Junjie Li, Jianmin Jinag
2023	—	`conf`	An Interval RSP-based ensemble model for big data analysis. DMSVIVA Wenzhu Cai, Mark Junjie Li
2023	—	`conf`	Anomaly Detection in Directed Dynamic Graphs via RDGCN and LSTAN. ICANN (3) Mark Junjie Li, Zukang Gao, Jun Li, Xianyu Bao, Meiting Li, Gen Zhao
2023	Misc	`conf`	Anomaly Detection in Dynamic Graphs Via Long Short-Term Temporal Attention Network. ICMLC Zukang Gao, Le-Ming Ma, Mei-Ting Li, Gen Zhao, Mark Junjie Li
2023	—	`conf`	Encouraging Sparsity in Neural Topic Modeling with Non-Mean-Field Inference. ECML/PKDD (4) Jiayao Chen, Rui Wang, Jueying He, Mark Junjie Li
2023	—	`conf`	Multi-modal Chinese Fake News Detection. ICDM (Workshops) Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Mark Junjie Li, Qin Zhang, Philippe Fournier-Viger
2023	B	`conf`	RSP-gcForest: A Distributed Deep Forest via Random Sample Partition. IEEE Big Data Mark Junjie Li, Wenzhu Cai, Yigang Lin, Sunjie Huang, Joshua Zhexue Huang, Patrick Xiaogang Peng
2023	—	`conf`	Topic Modeling for Short Texts via Adaptive P$\acute{o}$lya Urn Dirichlet Multinomial Mixture. ICONIP (14) Mark Junjie Li, Rui Wang, Jun Li, Xianyu Bao, Jueying He, Jiayao Chen, Lijuan He
2022	—	`conf`	DuSAG: An Anomaly Detection Method in Dynamic Graph Based on Dual Self-attention. ICANN (1) Weiqin Lin, Xianyu Bao, Mark Junjie Li, Zukang Gao
2022	J	`jnl`	HSGAN: Reducing mode collapse in GANs by the latent code distance of homogeneous samples. Comput. Vis. Image Underst. Simin Yu, Kuntian Zhang, Chuan Xiao, Joshua Zhexue Huang, Mark Junjie Li, Makoto Onizuka
2022	—	`conf`	Label-Aware Recurrent Reading for Multi-Label Classification. CACML Shenglan Ming, Huajun Liu, Ziming Luo, Peng Huang, Mark Junjie Li
2022	—	`conf`	Multi-knowledge Embeddings Enhanced Topic Modeling for Short Texts. ICONIP (3) Jueying He, Jiayao Chen, Mark Junjie Li
2022	B	`conf`	Semi-automatic Data Annotation System for Multi-Target Multi-Camera Vehicle Tracking. DSAA Haohong Liao, Silin Zheng, Xuelin Shen, Mark Junjie Li, Xu Wang
2022	J	`jnl`	Semi-automatic Data Annotation System for Multi-Target Multi-Camera Vehicle Tracking. CoRR Haohong Liao, Silin Zheng, Xuelin Shen, Mark Junjie Li, Xu Wang
2021	B	`conf`	BTGAN: Training GAN with Balanced Triplet Loss and Two-Branch Architecture. IJCNN Simin Yu, Kuntian Zhang, Chuan Xiao, Xianyu Bao, Joshua Zhexue Huang, Mark Junjie Li
2021	—	`conf`	CmaGraph: A TriBlocks Anomaly Detection Method in Dynamic Graph Using Evolutionary Community Representation Learning. ICANN (1) Weiqin Lin, Xianyu Bao, Mark Junjie Li
2020	J	`jnl`	A hierarchical Gamma Mixture Model-based method for estimating the number of clusters in complex data. Appl. Soft Comput. Muhammad Azhar, Joshua Zhexue Huang, Md Abdul Masud, Mark Junjie Li, Laizhong Cui
2019	J	`jnl`	A Hierarchical Gamma Mixture Model-Based Method for Classification of High-Dimensional Data. Entropy Muhammad Azhar, Mark Junjie Li, Joshua Zhexue Huang
2019	A*	`conf`	ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions. IJCAI Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li
2019	J	`jnl`	ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions. CoRR Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li
2019	—	`conf`	EAN: Event Attention Network for Stock Price Trend Prediction based on Sentimental Embedding. WebSci Yaowei Wang, Qing Li, Zhexue Huang, Mark Junjie Li
2017	—	`conf`	Load Pattern Shape Clustering Analysis for Manufacturing. SmartCom Mark Junjie Li, Weiguang Liu
2015	—	`conf`	A New Feature Sampling Method in Random Forests for Predicting High-Dimensional Data. PAKDD (2) Thanh-Tung Nguyen, He Zhao, Joshua Zhexue Huang, Thuy Thi Nguyen, Mark Junjie Li
2015	Misc	`conf`	Classifying gene data with regularized ensemble trees. ICMLC Thanh-Tung Nguyen, Huong Nguyen, Yinxu Wu, Mark Junjie Li
2015	—	`conf`	Forecasting Time Series Water Levels on Mekong River Using Machine Learning Models. KSE Thanh-Tung Nguyen, Quynh Nguyen Huu, Mark Junjie Li
2015	J	`jnl`	Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests. BMC Genom. Thanh-Tung Nguyen, Joshua Zhexue Huang, Qingyao Wu, Thuy Thi Nguyen, Mark Junjie Li
2014	—	`conf`	Extensions to Quantile Regression Forests for Very High-Dimensional Data. PAKDD (2) Nguyen Thanh Tung, Joshua Zhexue Huang, Imran Khan, Mark Junjie Li, Graham J. Williams
2012	—	`conf`	Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data. PAKDD (1) Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Mark Junjie Li, Yunming Ye
2012	—	`conf`	Scalable Random Forests for Massive Data. PAKDD (1) Bingguo Li, Xiaojun Chen, Mark Junjie Li, Joshua Zhexue Huang, Shengzhong Feng
2010	—	`conf`	CPLDP: An Efficient Large Dataset Processing System Built on Cloud Platform. ADMA (2) Zhiyong Zhong, Mark Junjie Li, Jin Chang, Le Zhou, Joshua Zhexue Huang, Shengzhong Feng
2010	J	`jnl`	On cluster tree for nested and multi-density data clustering. Pattern Recognit. Xutao Li, Yunming Ye, Mark Junjie Li, Michael K. Ng
2010	J	`jnl`	SKM-SNP: SNP markers detection method. J. Biomed. Informatics Yang Liu, Mark Junjie Li, Yiu-ming Cheung, Pak Chung Sham, Michael K. Ng
2009	J	`jnl`	SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters. Int. J. Data Min. Model. Manag. Liping Jing, Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Joshua Zhexue Huang
2008	J	`jnl`	Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters. IEEE Trans. Knowl. Data Eng. Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Joshua Zhexue Huang
2007	J	`jnl`	On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. Michael K. Ng, Mark Junjie Li, Joshua Zhexue Huang, Zengyou He
2006	—	`conf`	Clustering of SNP Data with Application to Genomics. ICDM Workshops Michael K. Ng, Mark Junjie Li, Sio Iong Ao, Pak Chung Sham, Yiu-ming Cheung, Joshua Zhexue Huang