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ORCIDJun Yin 0005
Person information
- unicode name: 殷珺
- affiliation: Central South University, Department of Computer Science, Changsha, Hunan, China
Other persons with the same name
- Jun Yin — disambiguation page
- Jun Yin 0001
![[0000-0002-4195-4551]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-4195-4551")
— University of Macau, State Key Laboratory of Analog and Mixed-Signal VLSI, China (and 1 more) - Jun Yin 0002 — Harvard University, Department of Physics, Cambridge, MA, USA
- Jun Yin 0003 — Shanghai Maritime University, Department of Computer Science, China (and 1 more)
- Jun Yin 0004 — Nanjing University of Posts and Telecommunications, Jiangsu Key Laboratory for Broadband Wireless Communication and Internet of Things, China (and 1 more)
- Jun Yin 0006 — Zhejiang Dahua Technology Co. Ltd., Hangzhou, China
- Jun Yin 0007 — University of Cincinnati, OBR Center of Distributed and Mobile Computing, Cincinnati, OH, USA
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2020 – today
- 2025
[j2]Hao Yan, Senzhang Wang, Chaozhuo Li, Jun Yin, Philip S. Yu, Jianxin Wang:
Have Our Cake and Eat It: Augmentation Diversity and Semantic Consistency Balanced Graph Contrastive Learning. ACM Trans. Knowl. Discov. Data 19(4): 1-25 (2025)- [c12]Hao Yan, Chaozhuo Li, Jun Yin, Zhigang Yu, Weihao Han, Mingzheng Li, Zhengxin Zeng, Hao Sun, Senzhang Wang:
When Graph Meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graph Learning. KDD (2) 2025: 5842-5853 - [c11]Hao Yan, Chaozhuo Li, Jun Yin, Weihao Han, Hao Sun, Senzhang Wang, Jian Zhang, Jianxin Wang:
MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models. WSDM 2025: 242-250 - [c10]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:
Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism. WWW 2025: 216-227 - 2024
- [i3]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:
Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator. CoRR abs/2409.09253 (2024) - [i2]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:
When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning. CoRR abs/2410.09132 (2024) - 2023
- [c9]Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang:
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs. NeurIPS 2023 - [c8]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:
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking. NeurIPS 2023 - [c7]Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang:
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks. NeurIPS 2023 - [c6]Hao Yan, Senzhang Wang, Jun Yin, Chaozhuo Li, Junxing Zhu, Jianxin Wang:
Hierarchical Graph Contrastive Learning. ECML/PKDD (2) 2023: 700-715 - [c5]Senzhang Wang, Hao Yan, Jinlong Du, Jun Yin, Junxing Zhu, Chaozhuo Li, Jianxin Wang:
Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning. SDM 2023: 163-171 - 2021
- [j1]Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu:
Leveraging multi-level dependency of relational sequences for social spammer detection. Neurocomputing 428: 130-141 (2021) - 2020
- [i1]Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu:
Leveraging Multi-level Dependency of Relational Sequences for Social Spammer Detection. CoRR abs/2009.06231 (2020)
2010 – 2019
- 2019
- [c4]Jun Yin, Shaowu Liu, Qian Li, Guandong Xu:
Prediction and Analysis of Rumour's Impact on Social Media. BESC 2019: 1-6 - 2018
- [c3]Zili Zhou, Shaowu Liu, Guandong Xu, Xing Xie, Jun Yin, Yidong Li, Wu Zhang:
Knowledge-Based Recommendation with Hierarchical Collaborative Embedding. PAKDD (2) 2018: 222-234 - [c2]Jun Yin, Zili Zhou, Shaowu Liu, Zhiang Wu, Guandong Xu:
Social Spammer Detection: A Multi-Relational Embedding Approach. PAKDD (1) 2018: 615-627 - 2016
- [c1]Bowen Wang, Jun Yin, Qi Hua, Zhiang Wu, Jie Cao:
Parallelizing K-Means-Based Clustering on Spark. CBD 2016: 31-36
Coauthor Index
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