| Disentangling user interest and conformity for recommendation with causal embedding Y Zheng, C Gao, X Li, X He, Y Li, D Jin Proceedings of the Web Conference 2021, 2980-2991, 2021 | 357 | 2021 |
| Meta structure: Computing relevance in large heterogeneous information networks Z Huang, Y Zheng, R Cheng, Y Sun, N Mamoulis, X Li Proceedings of the 22nd ACM SIGKDD International conference on knowledge …, 2016 | 244 | 2016 |
| Finding global homophily in graph neural networks when meeting heterophily X Li, R Zhu, Y Cheng, C Shan, S Luo, D Li, W Qian International Conference on Machine Learning, 13242-13256, 2022 | 222 | 2022 |
| Semi-supervised clustering in attributed heterogeneous information networks X Li, Y Wu, M Ester, B Kao, X Wang, Y Zheng Proceedings of the 26th international conference on world wide web, 1621-1629, 2017 | 111 | 2017 |
| Reinforcement learning enhanced explainer for graph neural networks C Shan, Y Shen, Y Zhang, X Li, D Li Advances in Neural Information Processing Systems 34, 22523-22533, 2021 | 78 | 2021 |
| Leveraging meta-path contexts for classification in heterogeneous information networks X Li, D Ding, B Kao, Y Sun, N Mamoulis 2021 IEEE 37th International Conference on Data Engineering (ICDE), 912-923, 2021 | 65 | 2021 |
| Spectral clustering in heterogeneous information networks X Li, B Kao, Z Ren, D Yin Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4221-4228, 2019 | 52 | 2019 |
| Boosting language models reasoning with chain-of-knowledge prompting J Wang, Q Sun, X Li, M Gao arXiv preprint arXiv:2306.06427, 2023 | 49 | 2023 |
| Novel user influence measurement based on user interaction in microblog X Li, S Cheng, W Chen, F Jiang Proceedings of the 2013 IEEE/ACM international conference on advances in …, 2013 | 44 | 2013 |
| Seegera: Self-supervised semi-implicit graph variational auto-encoders with masking X Li, T Ye, C Shan, D Li, M Gao Proceedings of the ACM web conference 2023, 143-153, 2023 | 36 | 2023 |
| Gradma: A gradient-memory-based accelerated federated learning with alleviated catastrophic forgetting K Luo, X Li, Y Lan, M Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 36 | 2023 |
| Good for misconceived reasons: An empirical revisiting on the need for visual context in multimodal machine translation Z Wu, L Kong, W Bi, X Li, B Kao arXiv preprint arXiv:2105.14462, 2021 | 35 | 2021 |
| Corex: Pushing the boundaries of complex reasoning through multi-model collaboration Q Sun, Z Yin, X Li, Z Wu, X Qiu, L Kong arXiv preprint arXiv:2310.00280, 2023 | 30 | 2023 |
| An end-to-end deep RL framework for task arrangement in crowdsourcing platforms C Shan, N Mamoulis, R Cheng, G Li, X Li, Y Qian 2020 IEEE 36th International Conference on Data Engineering (ICDE), 49-60, 2020 | 28 | 2020 |
| A survey of neural code intelligence: Paradigms, advances and beyond Q Sun, Z Chen, F Xu, K Cheng, C Ma, Z Yin, J Wang, C Han, R Zhu, ... arXiv preprint arXiv:2403.14734, 2024 | 26 | 2024 |
| Classification with active learning and meta-paths in heterogeneous information networks C Wan, X Li, B Kao, X Yu, Q Gu, D Cheung, J Han Proceedings of the 24th ACM international on conference on information and …, 2015 | 25 | 2015 |
| Knowledge prompting in pre-trained language model for natural language understanding J Wang, W Huang, Q Shi, H Wang, M Qiu, X Li, M Gao arXiv preprint arXiv:2210.08536, 2022 | 24 | 2022 |
| Disentangling user interest and popularity bias for recommendation with causal embedding Y Zheng, C Gao, X Li, X He, Y Li, D Jin arXiv preprint arXiv:2006.11011, 64, 2020 | 24 | 2020 |
| Empower text-attributed graphs learning with large language models (llms) J Yu, Y Ren, C Gong, J Tan, X Li, X Zhang arXiv preprint arXiv:2310.09872, 2023 | 23 | 2023 |
| Autrust: A practical trust measurement for adjacent users in social networks G Yin, F Jiang, S Cheng, X Li, X He 2012 Second International Conference on Cloud and Green Computing, 360-367, 2012 | 23 | 2012 |
Ben KaoThe University of Hong Kong在 cs.hku.hk 的电子邮件经过验证