Artykuły udostępnione publicznie: - Zhongzhan Huang (黄中展)Więcej informacji
Niedostępny w żadnym miejscu: 1
ESA: Excitation-Switchable Attention for convolutional neural networks
S Zhong, Z Huang, W Wen, Z Yang, J Qin
Neurocomputing 557, 126706, 2023
Upoważnienia: National Natural Science Foundation of China
Dostępne w jakimś miejscu: 13
Rethinking the pruning criteria for convolutional neural network
Z Huang, W Shao, X Wang, L Lin, P Luo
Advances in Neural Information Processing Systems 34, 16305-16318, 2021
Upoważnienia: US National Science Foundation, National Natural Science Foundation of China …
Sur-adapter: Enhancing text-to-image pre-trained diffusion models with large language models
S Zhong, Z Huang, W Wen, J Qin, L Lin
Proceedings of the 31st ACM International Conference on Multimedia, 567-578, 2023
Upoważnienia: National Natural Science Foundation of China
Scalelong: Towards more stable training of diffusion model via scaling network long skip connection
Z Huang, P Zhou, S Yan, L Lin
Advances in Neural Information Processing Systems 36, 70376-70401, 2023
Upoważnienia: National Natural Science Foundation of China
Stiffness-aware neural network for learning Hamiltonian systems
S Liang, Z Huang, H Zhang
International Conference on Learning Representations, 2022
Upoważnienia: US Department of Energy
Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation
S Zhong, Z Huang, S Gao, W Wen, L Lin, M Zitnik, P Zhou
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
Upoważnienia: National Natural Science Foundation of China
Understanding Self-attention Mechanism via Dynamical System Perspective
Z Huang, M Liang, J Qin, S Zhong, L Lin
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Upoważnienia: National Natural Science Foundation of China
Continuous transition: Improving sample efficiency for continuous control problems via mixup
J Lin, Z Huang, K Wang, X Liang, W Chen, L Lin
2021 IEEE International Conference on Robotics and Automation (ICRA), 9490-9497, 2021
Upoważnienia: US Department of Defense, National Natural Science Foundation of China
Blending pruning criteria for convolutional neural networks
W He, Z Huang, M Liang, S Liang, H Yang
Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021
Upoważnienia: US National Science Foundation
On fast simulation of dynamical system with neural vector enhanced numerical solver
Z Huang, S Liang, H Zhang, H Yang, L Lin
Scientific Reports 13 (1), 15254, 2023
Upoważnienia: US National Science Foundation, US Department of Energy, US Department of …
Stripe Observation Guided Inference Cost-free Attention Mechanism
Z Huang, S Zhong, W Wen, J Qin, L Lin
European Conference on Computer Vision (ECCV), 2024, 2024
Upoważnienia: National Natural Science Foundation of China
LSAS: Lightweight sub-attention strategy for alleviating attention bias problem
S Zhong, W Wen, J Qin, Q Chen, Z Huang
2023 IEEE International Conference on Multimedia and Expo (ICME), 2051-2056, 2023
Upoważnienia: National Natural Science Foundation of China
AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios
Z Huang, M Liang, S Zhong, L Lin
Forty-first International Conference on Machine Learning, 2024
Upoważnienia: National Natural Science Foundation of China
CEM: Machine-Human Chatting Handoff via Causal-Enhance Module
S Zhong, J Qin, Z Huang, D Li
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
Upoważnienia: National Natural Science Foundation of China
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