Hao Yan

According to our database, Hao Yan authored at least 13 papers between 2019 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

Learning on Large-scale Text-attributed Graphs via Variational Inference.

Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction.

Renzhi Wang, Senzhang Wang, Hao Yan, Xiang Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2020

Dynamic network embedding via incremental skip-gram with negative sampling.

Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren

Sci. China Inf. Sci., 2020

2019

Bibliographic Name Disambiguation with Graph Convolutional Network.

Hao Yan, Hao Peng, Chen Li, Jianxin Li, Lihong Wang

Proceedings of the Web Information Systems Engineering - WISE 2019, 2019