| 2025 | ECAI | Dual-Space Contrastive Learning with Abnormal Edge Suppression for Graph Anomaly Detection. | Mark Junjie Li, Shiyang He, Jun Li, Jinren Li, Gen Zhao, Jiang Liu, Sunjie Huang |
| 2025 | ECAI | LaPNER: Label-Aware Prompt Learning with Non-Entity Clustering Regularization for Few-Shot NER. | Mark Junjie Li, Tao Zou, Sunjie Huang, Yigang Lin, Qilong Gong, Jun Li |
| 2024 | CIKM | 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 |
| 2024 | ICANN | Boosting Attributed Graph Anomaly Detection via Negative Sample Awareness. | Jun Li, Meiting Li, Mark Junjie Li, Lingxuan Zhu, Jiang Liu, Gen Zhao, Xiang Luo |
| 2023 | ICANN | Anomaly Detection in Directed Dynamic Graphs via RDGCN and LSTAN. | Mark Junjie Li, Zukang Gao, Jun Li, Xianyu Bao, Meiting Li, Gen Zhao |
| 2023 | ICDM | Multi-modal Chinese Fake News Detection. | Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Mark Junjie Li, Qin Zhang, Philippe Fournier-Viger |
| 2023 | ICMLC | 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 |
| 2023 | ICONIP | 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 |
| 2022 | DSAA | Semi-automatic Data Annotation System for Multi-Target Multi-Camera Vehicle Tracking. | Haohong Liao, Silin Zheng, Xuelin Shen, Mark Junjie Li, Xu Wang |
| 2022 | ICANN | DuSAG: An Anomaly Detection Method in Dynamic Graph Based on Dual Self-attention. | Weiqin Lin, Xianyu Bao, Mark Junjie Li, Zukang Gao |
| 2022 | ICONIP | Multi-knowledge Embeddings Enhanced Topic Modeling for Short Texts. | Jueying He, Jiayao Chen, Mark Junjie Li |
| 2021 | ICANN | CmaGraph: A TriBlocks Anomaly Detection Method in Dynamic Graph Using Evolutionary Community Representation Learning. | Weiqin Lin, Xianyu Bao, Mark Junjie Li |
| 2021 | IJCNN | 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 |
| 2019 | IJCAI | ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions. | Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li |
| 2015 | ICMLC | Classifying gene data with regularized ensemble trees. | Thanh-Tung Nguyen, Huong Nguyen, Yinxu Wu, Mark Junjie Li |
| 2015 | PAKDD | 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 |
| 2014 | PAKDD | Extensions to Quantile Regression Forests for Very High-Dimensional Data. | Nguyen Thanh Tung, Joshua Zhexue Huang, Imran Khan, Mark Junjie Li, Graham J. Williams |
| 2012 | PAKDD | Scalable Random Forests for Massive Data. | Bingguo Li, Xiaojun Chen, Mark Junjie Li, Joshua Zhexue Huang, Shengzhong Feng |
| 2012 | PAKDD | Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data. | Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Mark Junjie Li, Yunming Ye |
| 2010 | ADMA | 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 |
| 2006 | ICDM | 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 |