Huaisheng Zhu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Singly Connected

Link Prediction

Top Venues

Publications

Teng Xiao, Chao Cui, Huaisheng Zhu, Vasant G. Honavar
MolBind: Multimodal Alignment of Language, Molecules, and Proteins. CoRR (2024)
Huaisheng Zhu, Teng Xiao, Vasant G. Honavar
3M-Diffusion: Latent Multi-Modal Diffusion for Text-Guided Generation of Molecular Graphs. CoRR (2024)
Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu
Jailbreak Open-Sourced Large Language Models via Enforced Decoding. ACL (1) (2024)
Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang
Simple and Asymmetric Graph Contrastive Learning without Augmentations. CoRR (2023)
Huaisheng Zhu, Guoji Fu, Zhimeng Guo, Zhiwei Zhang, Teng Xiao, Suhang Wang
Fairness-aware Message Passing for Graph Neural Networks. CoRR (2023)
Huaisheng Zhu, Enyan Dai, Hui Liu, Suhang Wang
Learning fair models without sensitive attributes: A generative approach. Neurocomputing 561 (2023)
Huaisheng Zhu, Dongsheng Luo, Xianfeng Tang, Junjie Xu, Hui Liu, Suhang Wang
Self-Explainable Graph Neural Networks for Link Prediction. CoRR (2023)
Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu
On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused? CoRR (2023)
Huaisheng Zhu, Xianfeng Tang, Tianxiang Zhao, Suhang Wang
You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network. PAKDD (2) (2023)
Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang
Simple and Asymmetric Graph Contrastive Learning without Augmentations. NeurIPS (2023)
Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, Junjie Xu, Zhimeng Guo, Hui Liu, Jiliang Tang, Suhang Wang
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability. CoRR (2022)
Huaisheng Zhu, Suhang Wang
Learning Fair Models without Sensitive Attributes: A Generative Approach. CoRR (2022)
Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks. KDD (2021)
Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks. CoRR (2021)
Liang Qu, Huaisheng Zhu, Qiqi Duan, Yuhui Shi
Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network. WWW (2020)
Liang Qu, Huaisheng Zhu, Yuhui Shi
BSOGCN: Brain Storm Optimization Graph Convolutional Networks Based Heterogeneous Information Networks Embedding. CEC (2020)