Duzhen Zhang

Orcid: 0000-0002-4280-431X

According to our database1, Duzhen Zhang authored at least 27 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
Structure Aware Multi-Graph Network for Multi-Modal Emotion Recognition in Conversations.
IEEE Trans. Multim., 2024

Biologically-Plausible Topology Improved Spiking Actor Network for Efficient Deep Reinforcement Learning.
CoRR, 2024

Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification.
CoRR, 2024

MM-LLMs: Recent Advances in MultiModal Large Language Models.
CoRR, 2024

2023
VLP: A Survey on Vision-language Pre-training.
Int. J. Autom. Comput., 2023

Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms.
CoRR, 2023

Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network.
CoRR, 2023

Decomposing Logits Distillation for Incremental Named Entity Recognition.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

ODE-based Recurrent Model-free Reinforcement Learning for POMDPs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Crucial Semantic Classifier-based Adversarial Learning for Unsupervised Domain Adaptation.
Proceedings of the International Joint Conference on Neural Networks, 2023

Continual Named Entity Recognition without Catastrophic Forgetting.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Federated Incremental Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognition.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

D-YOLOv5: An Object Detection Network with Enhanced Densities.
Proceedings of the 16th International Congress on Image and Signal Processing, 2023

RLN: A Residual Lightweight Neural Network for Image Edge Detection.
Proceedings of the 16th International Congress on Image and Signal Processing, 2023

Efficient preservation of detail features for image arbitrary style transfer.
Proceedings of the 16th International Congress on Image and Signal Processing, 2023

DualGATs: Dual Graph Attention Networks for Emotion Recognition in Conversations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
HiVLP: Hierarchical Vision-Language Pre-Training for Fast Image-Text Retrieval.
CoRR, 2022

Unsupervised and Pseudo-Supervised Vision-Language Alignment in Visual Dialog.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Recent Advances and New Frontiers in Spiking Neural Networks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

TSAM: A Two-Stream Attention Model for Causal Emotion Entailment.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Multi-Sacle Dynamic Coding Improved Spiking Actor Network for Reinforcement Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Population-coding and Dynamic-neurons improved Spiking Actor Network for Reinforcement Learning.
CoRR, 2021

2020
Knowledge Aware Emotion Recognition in Textual Conversations via Multi-Task Incremental Transformer.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Top-Down Saliency Detection Based on Deep-Learned Features.
Int. J. Comput. Intell. Appl., 2019

2018
Top-Down Saliency Object Localization Based on Deep-Learned Features.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018


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