Huaisheng Zhu

According to our database1, Huaisheng Zhu authored at least 20 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
0
5
10
4
4
1
6
2
1
2

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability.
Mach. Intell. Res., December, 2024

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements.
CoRR, 2024

MolBind: Multimodal Alignment of Language, Molecules, and Proteins.
CoRR, 2024

3M-Diffusion: Latent Multi-Modal Diffusion for Text-Guided Generation of Molecular Graphs.
CoRR, 2024

Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient Contrastive Learning for Fast and Accurate Inference on Graphs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

AmGNN: A Framework for Adaptive Processing of Inter-layer Information in Multi-layer Graph.
Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024

Jailbreak Open-Sourced Large Language Models via Enforced Decoding.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Learning fair models without sensitive attributes: A generative approach.
Neurocomputing, December, 2023

On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused?
CoRR, 2023

Fairness-aware Message Passing for Graph Neural Networks.
CoRR, 2023

Self-Explainable Graph Neural Networks for Link Prediction.
CoRR, 2023

You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Simple and Asymmetric Graph Contrastive Learning without Augmentations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Learning Fair Models without Sensitive Attributes: A Generative Approach.
CoRR, 2022

2021
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks.
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.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020


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