Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey.
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CoRR, 2024
VLSBench: Unveiling Visual Leakage in Multimodal Safety.
CoRR, 2024
DEAN: Deactivating the Coupled Neurons to Mitigate Fairness-Privacy Conflicts in Large Language Models.
CoRR, 2024
REEF: Representation Encoding Fingerprints for Large Language Models.
CoRR, 2024
Derail Yourself: Multi-turn LLM Jailbreak Attack through Self-discovered Clues.
CoRR, 2024
Decouple-Then-Merge: Towards Better Training for Diffusion Models.
CoRR, 2024
The Better Angels of Machine Personality: How Personality Relates to LLM Safety.
CoRR, 2024
Self-Supervised Multi-Frame Neural Scene Flow.
CoRR, 2024
Identifying Semantic Induction Heads to Understand In-Context Learning.
CoRR, 2024
Towards the Dynamics of a DNN Learning Symbolic Interactions.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
MLP Can Be a Good Transformer Learner.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Identifying Semantic Induction Heads to Understand In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Explaining Generalization Power of a DNN Using Interactive Concepts.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
SAKS: Sampling Adaptive Kernels From Subspace for Point Cloud Graph Convolution.
IEEE Trans. Circuits Syst. Video Technol., October, 2023
Self-Supervised Point Cloud Registration With Deep Versatile Descriptors for Intelligent Driving.
IEEE Trans. Intell. Transp. Syst., September, 2023
Concept-Level Explanation for the Generalization of a DNN.
CoRR, 2023
Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
A Robust and Reliable Point Cloud Recognition Network Under Rigid Transformation.
IEEE Trans. Instrum. Meas., 2022
Self-supervised Point Cloud Registration with Deep Versatile Descriptors.
CoRR, 2022
PFMixer: Point Cloud Frequency Mixing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
PointFP: A Feature-Preserving Point Cloud Sampling.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Point Clouds Downsampling Based on Complementary Attention and Contrastive Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
SGCNN for 3D Point Cloud Classification.
Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022
GeneCGAN: A conditional generative adversarial network based on genetic tree for point cloud reconstruction.
Neurocomputing, 2021
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results.
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CoRR, 2021
Trap of Feature Diversity in the Learning of MLPs.
CoRR, 2021
Deep Models with Fusion Strategies for MVP Point Cloud Registration.
CoRR, 2021
Point Cloud Registration using Representative Overlapping Points.
CoRR, 2021
Interpreting Representation Quality of DNNs for 3D Point Cloud Processing.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
A Self Contour-based Rotation and Translation-Invariant Transformation for Point Clouds Recognition.
CoRR, 2020
基于贝叶斯网络预测克隆代码质量 (Prediction of Code Clone Quality Based on Bayesian Network).
计算机科学, 2017
Cluster analysis algorithm based on key data integration for cloud computing.
Int. J. Reason. based Intell. Syst., 2017
A Data Streaming Algorithm for Detection of Superpoints With Small Memory Consumption.
IEEE Commun. Lett., 2017