| Transfer learning of graph neural networks with ego-graph information maximization Q Zhu, C Yang, Y Xu, H Wang, C Zhang, J Han Advances in Neural Information Processing Systems 34, 1766-1779, 2021 | 136 | 2021 |
| A neural corpus indexer for document retrieval Y Wang, Y Hou, H Wang, Z Miao, S Wu, Q Chen, Y Xia, C Chi, G Zhao, ... Advances in Neural Information Processing Systems (NeurIPS 2022 Best Paper …, 2022 | 128 | 2022 |
| Single-pass contrastive learning can work for both homophilic and heterophilic graph H Wang, J Zhang, Q Zhu, W Huang, K Kawaguchi, X Xiao arXiv preprint arXiv:2211.10890, 2022 | 82* | 2022 |
| Relation learning on social networks with multi-modal graph edge variational autoencoders C Yang, J Zhang, H Wang, S Li, M Kim, M Walker, Y Xiao, J Han Proceedings of the 13th international conference on web search and data …, 2020 | 55 | 2020 |
| Secure deep graph generation with link differential privacy C Yang, H Wang, K Zhang, L Chen, L Sun Proceedings of the Thirtieth International Joint Conference on Artificial …, 2020 | 51* | 2020 |
| Deep active learning by leveraging training dynamics H Wang, W Huang, Z Wu, H Tong, AJ Margenot, J He Advances in Neural Information Processing Systems 35, 25171-25184, 2022 | 37 | 2022 |
| Efficient dataset distillation via minimax diffusion J Gu, S Vahidian, V Kungurtsev, H Wang, W Jiang, Y You, Y Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 25 | 2024 |
| Subclass-balancing contrastive learning for long-tailed recognition C Hou, J Zhang, H Wang, T Zhou Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 25 | 2023 |
| Fairif: Boosting fairness in deep learning via influence functions with validation set sensitive attributes H Wang, Z Wu, J He Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 21* | 2024 |
| The stronger the diffusion model, the easier the backdoor: Data poisoning to induce copyright breaches without adjusting finetuning pipeline H Wang, Q Shen, Y Tong, Y Zhang, K Kawaguchi International Conference on Machine Learning (ICML 2024 Oral), 2024 | 20 | 2024 |
| Based Explainable Recommendations: A Transparency Perspective Y Zhou, H Wang, J He, H Wang ACM Transactions on Recommender Systems, 2024 | 19* | 2024 |
| Complexity matters: Rethinking the latent space for generative modeling T Hu, F Chen, H Wang, J Li, W Wang, J Sun, Z Li Advances in Neural Information Processing Systems (NeurIPS 2023 Spotlight), 2024 | 16 | 2024 |
| Model-enhanced vector index H Zhang, Y Wang, Q Chen, R Chang, T Zhang, Z Miao, Y Hou, Y Ding, ... Advances in Neural Information Processing Systems 36, 54903-54917, 2023 | 15 | 2023 |
| Graph neural networks provably benefit from structural information: A feature learning perspective W Huang, Y Cao, H Wang, X Cao, T Suzuki AISTATS 2025, 2023 | 13 | 2023 |
| Understanding programmatic weak supervision via source-aware influence function J Zhang*, H Wang*, CY Hsieh, AJ Ratner Advances in neural information processing systems 35, 2862-2875, 2022 | 13 | 2022 |
| Controllable gradient item retrieval H Wang, C Zhou, C Yang, H Yang, J He Proceedings of the Web Conference 2021, 768-777, 2021 | 13 | 2021 |
| Neural concept map generation for effective document classification with interpretable structured summarization C Yang, J Zhang, H Wang, B Li, J Han Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 12 | 2020 |
| Leveraging relational graph neural network for transductive model ensemble Z Hu, J Zhang, H Wang, S Liu, S Liang Proceedings of the 29th ACM SIGKDD Conference on knowledge discovery and …, 2023 | 11 | 2023 |
| Can AI be as creative as humans? H Wang, J Zou, M Mozer, A Goyal, A Lamb, L Zhang, WJ Su, Z Deng, ... arXiv preprint arXiv:2401.01623, 2024 | 8 | 2024 |
| Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data H Wang*, M Huang*, R Huang, L Hong, H Xu, T Hu, X Liang, Z Li, ... NAACL 2025 Main Conference, 2023 | 7* | 2023 |
