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ORCIDHan Yang 0002
Person information
- affiliation: Chinese University of Hong Kong, Hong Kong, SAR, China
Other persons with the same name
- Han Yang — disambiguation page
- Han Yang 0001
![[0009-0006-4946-1395]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0009-0006-4946-1395")
— Seoul National University, Seoul, Korea - Han Yang 0003 — Zhejiang University, Hangzhou, China
- Han Yang 0004 — Yunnan University, Kunming, China
- Han Yang 0005 — Beijing University of Chemical Technology, Beijing, China
- Han Yang 0006 — Universitat Politècnica de Catalunya, Barcelona, Spain
- Han Yang 0007 — Wuhan University, Wuhan, China
- Han Yang 0008 — Ocean University of China, College of Engineering, Department of Civil Engineering, Qingdao, China
- Han Yang 0009 — Alibaba Group, Hangzhou, China
- Han Yang 0010 — Harbin Institute of Technology, Harbin, Heilongjiang, China
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Journal Articles
- 2024
[j2]Kaili Ma, Han Yang, Shanchao Yang, Kangfei Zhao, Lanqing Li, Yongqiang Chen, Junzhou Huang, James Cheng, Yu Rong:
Solving the non-submodular network collapse problems via Decision Transformer. Neural Networks 176: 106328 (2024)- 2023
- [j1]Kaili Ma, Garry Yang, Han Yang, Yongqiang Chen, James Cheng:
Calibrating and Improving Graph Contrastive Learning. Trans. Mach. Learn. Res. 2023 (2023)
Conference and Workshop Papers
- 2023
- [c8]Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Kaili Ma, Han Yang, Peilin Zhao, Bo Han, James Cheng:
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization. ICLR 2023 - 2022
- [c7]Yongqiang Chen, Han Yang, Yonggang Zhang, Kaili Ma, Tongliang Liu, Bo Han, James Cheng:
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability. ICLR 2022 - [c6]Yongqiang Chen, Yonggang Zhang, Yatao Bian, Han Yang, Kaili Ma, Binghui Xie, Tongliang Liu, Bo Han, James Cheng:
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs. NeurIPS 2022 - [c5]Barakeel Fanseu Kamhoua, Lin Zhang, Yongqiang Chen, Han Yang, Kaili Ma, Bo Han, Bo Li, James Cheng:
Exact Shape Correspondence via 2D graph convolution. NeurIPS 2022 - [c4]Yuntao Gui, Yidi Wu, Han Yang, Tatiana Jin, Boyang Li, Qihui Zhou, James Cheng, Fan Yu:
HGL: Accelerating Heterogeneous GNN Training with Holistic Representation and Optimization. SC 2022: 72:1-72:15 - 2021
- [c3]Han Yang, Kaili Ma, James Cheng:
Rethinking Graph Regularization for Graph Neural Networks. AAAI 2021: 4573-4581 - [c2]Han Yang, Xiao Yan, Xinyan Dai, Yongqiang Chen, James Cheng:
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs. IJCNN 2021: 1-8 - 2020
- [c1]Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng:
Convolutional Embedding for Edit Distance. SIGIR 2020: 599-608
Informal and Other Publications
- 2023
- [i9]Yuntao Gui, Xiao Yan, Peiqi Yin, Han Yang, James Cheng:
SPT: Fine-Tuning Transformer-based Language Models Efficiently with Sparsification. CoRR abs/2312.10365 (2023) - 2022
- [i8]Yongqiang Chen, Yonggang Zhang, Han Yang, Kaili Ma, Binghui Xie, Tongliang Liu, Bo Han, James Cheng:
Invariance Principle Meets Out-of-Distribution Generalization on Graphs. CoRR abs/2202.05441 (2022) - [i7]Yongqiang Chen, Han Yang, Yonggang Zhang, Kaili Ma, Tongliang Liu, Bo Han, James Cheng:
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability. CoRR abs/2202.08057 (2022) - [i6]Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Kaili Ma, Yonggang Zhang, Han Yang, Bo Han, James Cheng:
Pareto Invariant Risk Minimization. CoRR abs/2206.07766 (2022) - 2021
- [i5]Kaili Ma, Haochen Yang, Han Yang, Tatiana Jin, Pengfei Chen, Yongqiang Chen, Barakeel Fanseu Kamhoua, James Cheng:
Improving Graph Representation Learning by Contrastive Regularization. CoRR abs/2101.11525 (2021) - 2020
- [i4]Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng:
Edit Distance Embedding using Convolutional Neural Networks. CoRR abs/2001.11692 (2020) - [i3]Han Yang, Xiao Yan, Xinyan Dai, James Cheng:
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs. CoRR abs/2002.07518 (2020) - [i2]Han Yang, Kaili Ma, James Cheng:
Rethinking Graph Regularization For Graph Neural Networks. CoRR abs/2009.02027 (2020) - 2019
- [i1]Xinyan Dai, Xiao Yan, Kaiwen Zhou, Han Yang, Kelvin Kai Wing Ng, James Cheng, Yu Fan:
Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning. CoRR abs/1911.04655 (2019)
Coauthor Index
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