| A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models H Chang, Y Rong, T Xu, W Huang, H Zhang, P Cui, W Zhu, J Huang AAAI Conference on Artificial Intelligence (AAAI 2020), 2020 | 143 | 2020 |
| Implicit Graph Neural Networks F Gu*, H Chang*, W Zhu, S Sojoudi, L El Ghaoui Advances in Neural Information Processing Systems (NeurIPS 2020), 2020 | 137 | 2020 |
| Power up! Robust Graph Convolutional Network via Graph Powering M Jin*, H Chang*, W Zhu, S Sojoudi AAAI Conference on Artificial Intelligence (AAAI 2021), 2021 | 54 | 2021 |
| Spectral Graph Attention Network H Chang, Y Rong, T Xu, W Huang, S Sojoudi, J Huang, W Zhu Proceedings of the 30th ACM international conference on information …, 2021 | 53 | 2021 |
| Not All Low-Pass Filters are Robust in Graph Convolutional Networks H Chang, Y Rong, T Xu, Y Bian, S Zhou, X Wang, J Huang, W Zhu Advances in Neural Information Processing Systems (NeurIPS 2021), 2021 | 37 | 2021 |
| AutoGL: A Library for Automated Graph Learning C Guan, Z Zhang, H Li, H Chang, Z Zhang, Y Qin, J Jiang, X Wang, W Zhu GTRL-ICLR 2021, 2021 | 27 | 2021 |
| Qa-lora: Quantization-aware low-rank adaptation of large language models Y Xu, L Xie, X Gu, X Chen, H Chang, H Zhang, Z Chen, X Zhang, Q Tian International Conference on Learning Representations (ICLR 2024), 2023 | 22 | 2023 |
| TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration K Gong, D Lian, H Chang, C Guo, X Zuo, Z Jiang, X Wang IEEE / CVF International Conference on Computer Vision (ICCV 2023), 2023 | 17 | 2023 |
| Semi-supervised Hierarchical Graph Classification J Li, Y Huang, H Chang, Y Rong IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 45 (5 …, 2022 | 17 | 2022 |
| Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge H Chang, Y Rong, T Xu, W Huang, H Zhang, P Cui, X Wang, W Zhu, ... IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 | 14 | 2022 |
| Online Continual Adaptation with Active Self-Training S Zhou, H Zhao, S Zhang, L Wang, H Chang, Z Wang, W Zhu International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021 | 9 | 2021 |
| Knowledge Graph Completion with Counterfactual Augmentation H Chang, J Cai, J Li The 2023 ACM Web Conference (TheWebConf (WWW) 2023), 2023 | 8 | 2023 |
| Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data J Guo, H Chang, W Zhu AAAI Conference on Artificial Intelligence (AAAI 2020), 2020 | 7 | 2020 |
| Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level L Wang, S Zhou, S Zhang, X Chu, H Chang, W Zhu IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2023 …, 2023 | 6 | 2023 |
| Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification X Wang, H Chang, B Xie, T Bian, S Zhou, D Wang, Z Zhang, W Zhu IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 | 4* | 2023 |
| Adversarially Robust Neural Architecture Search for Graph Neural Networks B Xie*, H Chang*, Z Zhang, X Wang, D Wang, Z Zhang, R Ying, W Zhu IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2023), 2023 | 4 | 2023 |
| Rethinking Embedded Unsupervised Feature Selection: A Simple Joint Approach H Chang, J Guo, W Zhu IEEE Transactions on Big Data (TBD), 2022 | 3 | 2022 |
| Path-based Explanation for Knowledge Graph Completion H Chang*, J Ye*, AL Avila, J Du, J Li arXiv preprint arXiv:2401.02290, 2024 | | 2024 |
| Hierarchical Graph Latent Diffusion Model for Molecule Generation T Bian, Y Niu, H Chang, D Yan, T Xu, Y Rong, J Li, H Cheng | | 2023 |
| Lightweight Graph Neural Network Search with Graph Sparsification B Xie, H Chang, Z Zhang, Z Zhang, S Wu, X Wang, Y Meng, W Zhu | | 2023 |
Wenwu ZhuProfessor, Computer Science, Tsinghua UniverisityVerified email at tsinghua.edu.cn
