| Learning causally invariant representations for out-of-distribution generalization on graphs Y Chen, Y Zhang, Y Bian, H Yang, MA Kaili, B Xie, T Liu, B Han, J Cheng Advances in Neural Information Processing Systems 35, 22131-22148, 2022 | 102 | 2022 |
| Understanding and improving graph injection attack by promoting unnoticeability Y Chen, H Yang, Y Zhang, K Ma, T Liu, B Han, J Cheng ICLR 2022, 2022 | 75 | 2022 |
| Rethinking Graph Regularization for Graph Neural Networks H Yang, K Ma, J Cheng AAAI 2021, 2020 | 64 | 2020 |
| Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning X Dai, X Yan, K Zhou, H Yang, KKW Ng, J Cheng, Y Fan arXiv preprint arXiv:1911.04655, 2019 | 53 | 2019 |
| Pareto invariant risk minimization: Towards mitigating the optimization dilemma in out-of-distribution generalization Y Chen, K Zhou, Y Bian, B Xie, B Wu, Y Zhang, K Ma, H Yang, P Zhao, ... arXiv preprint arXiv:2206.07766, 2022 | 47 | 2022 |
| Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs H Yang, X Yan, X Dai, Y Chen, J Cheng IJCNN 2021, 2020 | 38 | 2020 |
| Invariance principle meets out-of-distribution generalization on graphs Y Chen, Y Zhang, H Yang, K Ma, B Xie, T Liu, B Han, J Cheng arXiv preprint arXiv:2202.05441 2 (3), 5, 2022 | 28 | 2022 |
| Convolutional Embedding for Edit Distance X Dai, X Yan, K Zhou, Y Wang, H Yang, J Cheng Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 27* | 2020 |
| Improving graph representation learning by contrastive regularization K Ma, H Yang, H Yang, T Jin, P Chen, Y Chen, BF Kamhoua, J Cheng arXiv preprint arXiv:2101.11525, 20, 2021 | 13 | 2021 |
| HGL: accelerating heterogeneous GNN training with holistic representation and optimization Y Gui, Y Wu, H Yang, T Jin, B Li, Q Zhou, J Cheng, F Yu SC22: International Conference for High Performance Computing, Networking …, 2022 | 8 | 2022 |
| Exact Shape Correspondence via 2D graph convolution B Fanseu Kamhoua, L Zhang, Y Chen, H Yang, MA Kaili, B Han, B Li, ... Advances in Neural Information Processing Systems 35, 18072-18087, 2022 | 4 | 2022 |
| Spt: Fine-tuning transformer-based language models efficiently with sparsification Y Gui, X Yan, P Yin, H Yang, J Cheng arXiv preprint arXiv:2312.10365, 2023 | 1 | 2023 |
| Solving the non-submodular network collapse problems via Decision Transformer K Ma, H Yang, S Yang, K Zhao, L Li, Y Chen, J Huang, J Cheng, Y Rong Neural Networks 176, 106328, 2024 | | 2024 |
| Calibrating and Improving Graph Contrastive Learning MA KAILI, Y Garry, H Yang, Y Chen, J Cheng Transactions on Machine Learning Research, 0 | | |
