Huaisheng Zhu

According to our database, Huaisheng Zhu authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MolBind: Multimodal Alignment of Language, Molecules, and Proteins.

Teng Xiao, Chao Cui, Huaisheng Zhu, Vasant G. Honavar

CoRR, 2024

3M-Diffusion: Latent Multi-Modal Diffusion for Text-Guided Generation of Molecular Graphs.

Huaisheng Zhu, Teng Xiao, Vasant G. Honavar

CoRR, 2024

2023

Learning fair models without sensitive attributes: A generative approach.

Huaisheng Zhu, Enyan Dai, Hui Liu, Suhang Wang

Neurocomputing, December, 2023

On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused?

Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu

CoRR, 2023

Fairness-aware Message Passing for Graph Neural Networks.

Huaisheng Zhu, Guoji Fu, Zhimeng Guo, Zhiwei Zhang, Teng Xiao, Suhang Wang

CoRR, 2023

Self-Explainable Graph Neural Networks for Link Prediction.

Huaisheng Zhu, Dongsheng Luo, Xianfeng Tang, Junjie Xu, Hui Liu, Suhang Wang

CoRR, 2023

You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network.

Huaisheng Zhu, Xianfeng Tang, Tianxiang Zhao, Suhang Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Simple and Asymmetric Graph Contrastive Learning without Augmentations.

Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability.

Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, Junjie Xu, Zhimeng Guo, Hui Liu, Jiliang Tang, Suhang Wang

CoRR, 2022

Learning Fair Models without Sensitive Attributes: A Generative Approach.

Huaisheng Zhu, Suhang Wang

CoRR, 2022

2021

ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks.

Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network.

Liang Qu, Huaisheng Zhu, Qiqi Duan, Yuhui Shi

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

BSOGCN: Brain Storm Optimization Graph Convolutional Networks Based Heterogeneous Information Networks Embedding.

Liang Qu, Huaisheng Zhu, Yuhui Shi

Proceedings of the IEEE Congress on Evolutionary Computation, 2020