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Heng Chang
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Year
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
1462020
Implicit Graph Neural Networks
F Gu*, H Chang*, W Zhu, S Sojoudi, L El Ghaoui
Advances in Neural Information Processing Systems (NeurIPS 2020), 2020
1412020
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
542021
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
542021
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
392021
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
292023
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
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
212023
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
182022
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
142022
Knowledge Graph Completion with Counterfactual Augmentation
H Chang, J Cai, J Li
The 2023 ACM Web Conference (TheWebConf (WWW) 2023), 2023
92023
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
92021
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
82023
Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data
J Guo, H Chang, W Zhu
AAAI Conference on Artificial Intelligence (AAAI 2020), 2020
72020
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
42023
Rethinking Embedded Unsupervised Feature Selection: A Simple Joint Approach
H Chang, J Guo, W Zhu
IEEE Transactions on Big Data (TBD), 2022
42022
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
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Articles 1–20