Han Zhang
Orcid: 0009-0009-1204-9614Affiliations:
- Peng Cheng Laboratory, Shenzhen, China
- Harbin Institute of Technology (HIT), Harbin, China
- Tianjin University, School of Electrical and Information Engineering, Tianjin, China (former)
According to our database1,
Han Zhang authored at least 17 papers
between 2021 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Efficient speech command recognition leveraging spiking neural networks and progressive time-scaled curriculum distillation.
Neural Networks, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
CoRR, November, 2025
S<sup>2</sup>M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection.
CoRR, August, 2025
Towards Multimodal Empathetic Response Generation: A Rich Text-Speech-Vision Avatar-based Benchmark.
Proceedings of the ACM on Web Conference 2025, 2025
S$^2$M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
The ACM Multimedia 2025 Grand Challenge of Avatar-based Multimodal Empathetic Conversation.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
2024
Efficient Speech Command Recognition Leveraging Spiking Neural Network and Curriculum Learning-based Knowledge Distillation.
CoRR, 2024
SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition.
CoRR, 2024
Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods.
CoRR, 2024
NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2024
2023
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation.
CoRR, 2023
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network.
CoRR, 2023
2021
EEG Motor Imagery Classification With Sparse Spectrotemporal Decomposition and Deep Learning.
IEEE Trans Autom. Sci. Eng., 2021
Adaptive Spatiotemporal Graph Convolutional Networks for Motor Imagery Classification.
IEEE Signal Process. Lett., 2021