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Heng Chang
Heng Chang
Tsinghua University
Overená e-mailová adresa na: mails.tsinghua.edu.cn - Domovská stránka
Názov
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Citované v
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Implicit Graph Neural Networks
F Gu*, H Chang*, W Zhu, S Sojoudi, L El Ghaoui
Advances in Neural Information Processing Systems (NeurIPS 2020), 2020
1802020
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
1752020
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
1482023
Spectral Graph Attention Network
H Chang, Y Rong, T Xu, W Huang, S Sojoudi, J Huang, W Zhu
ACM International Conference on Information & Knowledge Management (CIKM …, 2021
66*2021
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
622021
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
582021
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
532023
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
38*2021
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
372022
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
272022
Knowledge Graph Completion with Counterfactual Augmentation
H Chang, J Cai, J Li
The 2023 ACM Web Conference (TheWebConf (WWW) 2023), 2023
252023
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
242023
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
162023
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
13*2023
Deconstructing the ethics of large language models from long-standing issues to new-emerging dilemmas
C Deng, Y Duan, X Jin, H Chang, Y Tian, H Liu, HP Zou, Y Jin, Y Xiao, ...
arXiv e-prints, arXiv: 2406.05392, 2024
122024
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
Y Wu, S Zhou, M Yang, L Wang, W Zhu, H Chang, X Zhou, X Yang
AAAI Conference on Artificial Intelligence (AAAI 2025), 2024
122024
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
122021
Rethinking Embedded Unsupervised Feature Selection: A Simple Joint Approach
H Chang*, J Guo*, W Zhu
IEEE Transactions on Big Data (TBD), 2022
112022
Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data
J Guo, H Chang, W Zhu
AAAI Conference on Artificial Intelligence (AAAI 2020), 2020
102020
Path-based Explanation for Knowledge Graph Completion
H Chang*, J Ye*, AL Avila, J Du, J Li
2024 ACM KDD Conference (KDD 2024), 2024
82024
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–20