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Huaisheng Zhu
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2020 – today
- 2024
- [j2]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. Mach. Intell. Res. 21(6): 1011-1061 (2024) - [c9]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: 5475-5493 - [c8]Teng Xiao, Chao Cui, Huaisheng Zhu, Vasant G. Honavar:
GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules. BIBM 2024: 1250-1256 - [c7]Teng Xiao, Mingxiao Li, Yige Yuan, Huaisheng Zhu, Chao Cui, Vasant G. Honavar:
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective. EMNLP 2024: 13413-13426 - [c6]Teng Xiao, Huaisheng Zhu, Zhiwei Zhang, Zhimeng Guo, Charu C. Aggarwal, Suhang Wang, Vasant G. Honavar:
Efficient Contrastive Learning for Fast and Accurate Inference on Graphs. ICML 2024 - [i13]Huaisheng Zhu, Teng Xiao, Vasant G. Honavar:
3M-Diffusion: Latent Multi-Modal Diffusion for Text-Guided Generation of Molecular Graphs. CoRR abs/2403.07179 (2024) - [i12]Teng Xiao, Chao Cui, Huaisheng Zhu, Vasant G. Honavar:
MolBind: Multimodal Alignment of Language, Molecules, and Proteins. CoRR abs/2403.08167 (2024) - [i11]Teng Xiao, Mingxiao Li, Yige Yuan, Huaisheng Zhu, Chao Cui, Vasant G. Honavar:
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective. CoRR abs/2410.10093 (2024) - [i10]Shijie Zhou, Huaisheng Zhu, Rohan Sharma, Ruiyi Zhang, Kaiyi Ji, Changyou Chen:
Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements. CoRR abs/2411.09850 (2024) - [i9]Teng Xiao, Chao Cui, Huaisheng Zhu, Vasant G. Honavar:
GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules. CoRR abs/2411.10821 (2024) - [i8]Teng Xiao, Yige Yuan, Huaisheng Zhu, Mingxiao Li, Vasant G. Honavar:
Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment. CoRR abs/2412.14516 (2024) - 2023
- [j1]Huaisheng Zhu, Enyan Dai, Hui Liu, Suhang Wang:
Learning fair models without sensitive attributes: A generative approach. Neurocomputing 561: 126841 (2023) - [c5]Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang:
Simple and Asymmetric Graph Contrastive Learning without Augmentations. NeurIPS 2023 - [c4]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: 40-52 - [i7]Huaisheng Zhu, Dongsheng Luo, Xianfeng Tang, Junjie Xu, Hui Liu, Suhang Wang:
Self-Explainable Graph Neural Networks for Link Prediction. CoRR abs/2305.12578 (2023) - [i6]Huaisheng Zhu, Guoji Fu, Zhimeng Guo, Zhiwei Zhang, Teng Xiao, Suhang Wang:
Fairness-aware Message Passing for Graph Neural Networks. CoRR abs/2306.11132 (2023) - [i5]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 abs/2310.01581 (2023) - [i4]Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang:
Simple and Asymmetric Graph Contrastive Learning without Augmentations. CoRR abs/2310.18884 (2023) - 2022
- [i3]Huaisheng Zhu, Suhang Wang:
Learning Fair Models without Sensitive Attributes: A Generative Approach. CoRR abs/2203.16413 (2022) - [i2]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 abs/2204.08570 (2022) - 2021
- [c3]Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin:
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks. KDD 2021: 1390-1398 - [i1]Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin:
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks. CoRR abs/2106.02817 (2021) - 2020
- [c2]Liang Qu, Huaisheng Zhu, Yuhui Shi:
BSOGCN: Brain Storm Optimization Graph Convolutional Networks Based Heterogeneous Information Networks Embedding. CEC 2020: 1-7 - [c1]Liang Qu, Huaisheng Zhu, Qiqi Duan, Yuhui Shi:
Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network. WWW 2020: 3026-3032
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