Parallelizing K-Means-Based Clustering on Spark. - Bowen Wang; Jun Yin 005; Qi Hua; Zhiang Wu 001; Jie Cao 001 (CBD, 2016)

Social Spammer Detection: A Multi-Relational Embedding Approach. - Jun Yin 005; Zili Zhou; Shaowu Liu; Zhiang Wu 001; Guandong Xu (PAKDD (1), 2018)

Knowledge-Based Recommendation with Hierarchical Collaborative Embedding. - Zili Zhou; Shaowu Liu; Guandong Xu; Xing Xie 001; Jun Yin 005; Yidong Li; Wu Zhang (PAKDD (2), 2018)

Prediction and Analysis of Rumour's Impact on Social Media. - Jun Yin 005; Shaowu Liu; Qian Li 003; Guandong Xu (BESC, 2019)

Leveraging multi-level dependency of relational sequences for social spammer detection. - Jun Yin 005; Qian Li 003; Shaowu Liu; Zhiang Wu 001; Guandong Xu (Neurocomputing, 2021)

V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs. - Senzhang Wang; Jun Yin 005; Chaozhuo Li; Xing Xie 001; Jianxin Wang 001 (NeurIPS, 2023)

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking. - Hao Yan 004; Chaozhuo Li; Ruosong Long; Chao Yan 004; Jianan Zhao 002; Wenwen Zhuang; Jun Yin 005; Peiyan Zhang; Weihao Han; Hao Sun 015; Weiwei Deng; Qi Zhang 066; et al. (NeurIPS, 2023)

Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks. - Jun Yin 005; Chaozhuo Li; Hao Yan 004; Jianxun Lian; Senzhang Wang (NeurIPS, 2023)

Hierarchical Graph Contrastive Learning. - Hao Yan 004; Senzhang Wang; Jun Yin 005; Chaozhuo Li; Junxing Zhu; Jianxin Wang 001 (ECML/PKDD (2), 2023)

Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning. - Senzhang Wang; Hao Yan 004; Jinlong Du; Jun Yin 005; Junxing Zhu; Chaozhuo Li; Jianxin Wang 001 (SDM, 2023)

Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator. - Jun Yin 005; Zhengxin Zeng; Mingzheng Li; Hao Yan 004; Chaozhuo Li; Weihao Han; Jianjin Zhang; Ruochen Liu 001; Allen Sun; Denvy Deng; Feng Sun 008; Qi Zhang 066; et al. (CoRR, 2024)

When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning. - Hao Yan 004; Chaozhuo Li; Zhigang Yu; Jun Yin 005; Ruochen Liu 001; Peiyan Zhang; Weihao Han; Mingzheng Li; Zhengxin Zeng; Hao Sun 015; Weiwei Deng; Feng Sun 008; et al. (CoRR, 2024)

MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models. - Hao Yan 004; Chaozhuo Li; Jun Yin 005; Weihao Han; Hao Sun 015; Senzhang Wang; Jian Zhang 048; Jianxin Wang 001 (WSDM, 2025)

Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism. - Jun Yin 005; Zhengxin Zeng; Mingzheng Li; Hao Yan 004; Chaozhuo Li; Weihao Han; Jianjin Zhang; Ruochen Liu 001; Hao Sun 015; Weiwei Deng; Feng Sun 008; Qi Zhang 066; et al. (WWW, 2025)

Have Our Cake and Eat It: Augmentation Diversity and Semantic Consistency Balanced Graph Contrastive Learning. - Hao Yan 004; Senzhang Wang; Chaozhuo Li; Jun Yin 005; Philip S. Yu; Jianxin Wang 001 (ACM Trans. Knowl. Discov. Data, 2025)