Jun Yin

According to our database, Jun Yin authored at least 15 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Have Our Cake and Eat It: Augmentation Diversity and Semantic Consistency Balanced Graph Contrastive Learning.

Hao Yan, Senzhang Wang, Chaozhuo Li, Jun Yin, Philip S. Yu, Jianxin Wang

ACM Trans. Knowl. Discov. Data, 2025

Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism.

Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang

Proceedings of the ACM on Web Conference 2025, 2025

MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models.

Hao Yan, Chaozhuo Li, Jun Yin, Weihao Han, Hao Sun, Senzhang Wang, Jian Zhang, Jianxin Wang

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

2024

When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning.

Hao Yan, Chaozhuo Li, Zhigang Yu, Jun Yin, Ruochen Liu, Peiyan Zhang, Weihao Han, Mingzheng Li, Zhengxin Zeng, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Senzhang Wang

CoRR, 2024

Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator.

Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Allen Sun, Denvy Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang

CoRR, 2024

2023

Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning.

Senzhang Wang, Hao Yan, Jinlong Du, Jun Yin, Junxing Zhu, Chaozhuo Li, Jianxin Wang

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Hierarchical Graph Contrastive Learning.

Hao Yan, Senzhang Wang, Jun Yin, Chaozhuo Li, Junxing Zhu, Jianxin Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks.

Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking.

Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs.

Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Leveraging multi-level dependency of relational sequences for social spammer detection.

Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu

Neurocomputing, 2021

2019

Prediction and Analysis of Rumour's Impact on Social Media.

Jun Yin, Shaowu Liu, Qian Li, Guandong Xu

Proceedings of the 6th International Conference on Behavioral, 2019

2018

Knowledge-Based Recommendation with Hierarchical Collaborative Embedding.

Zili Zhou, Shaowu Liu, Guandong Xu, Xing Xie, Jun Yin, Yidong Li, Wu Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Social Spammer Detection: A Multi-Relational Embedding Approach.

Jun Yin, Zili Zhou, Shaowu Liu, Zhiang Wu, Guandong Xu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2016

Parallelizing K-Means-Based Clustering on Spark.

Bowen Wang, Jun Yin, Qi Hua, Zhiang Wu, Jie Cao

Proceedings of the International Conference on Advanced Cloud and Big Data, 2016