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ORCIDZhongzhan Huang
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2020 – today
- 2025
[j3]Zhongzhan Huang, Senwei Liang, Mingfu Liang:
A generic shared attention mechanism for various backbone neural networks. Neurocomputing 611: 128697 (2025)- 2024
- [j2]Jinghui Qin
, Zhongzhan Huang, Ying Zeng, Quanshi Zhang, Liang Lin:
An Introspective Data Augmentation Method for Training Math Word Problem Solvers. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3113-3127 (2024) - [c17]Shanshan Zhong, Shanghua Gao, Zhongzhan Huang, Wushao Wen, Marinka Zitnik, Pan Zhou:
MoExtend: Tuning New Experts for Modality and Task Extension. ACL (Student Research Workshop) 2024: 80-91 - [c16]Shanshan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, Pan Zhou:
Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation. CVPR 2024: 13246-13257 - [c15]Shanshan Zhong, Wushao Wen, Jinghui Qin, Zhongzhan Huang:
DEEPAM: Toward Deeper Attention Module in Residual Convolutional Neural Networks. ICANN (1) 2024: 405-418 - [c14]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin:
Lottery Ticket Hypothesis for Attention Mechanism in Residual Convolutional Neural Network*. ICME 2024: 1-6 - [c13]Zhongzhan Huang, Mingfu Liang, Shanshan Zhong, Liang Lin:
AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios. ICML 2024 - [c12]Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, Liang Lin:
Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima. WWW 2024: 3700-3711 - [i22]Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, Liang Lin:
Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima. CoRR abs/2402.11262 (2024) - [i21]Yuanfeng Xu, Yuhao Chen, Zhongzhan Huang, Zijian He, Guangrun Wang, Philip Torr, Liang Lin:
AnimateZoo: Zero-shot Video Generation of Cross-Species Animation via Subject Alignment. CoRR abs/2404.04946 (2024) - [i20]Shanshan Zhong, Shanghua Gao, Zhongzhan Huang, Wushao Wen, Marinka Zitnik, Pan Zhou:
MoExtend: Tuning New Experts for Modality and Task Extension. CoRR abs/2408.03511 (2024) - 2023
- [j1]Shanshan Zhong, Zhongzhan Huang, Wushao Wen, Zhijing Yang, Jinghui Qin:
ESA: Excitation-Switchable Attention for convolutional neural networks. Neurocomputing 557: 126706 (2023) - [c11]Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin:
Understanding Self-attention Mechanism via Dynamical System Perspective. ICCV 2023: 1412-1422 - [c10]Shanshan Zhong, Wushao Wen, Jinghui Qin, Qiangpu Chen, Zhongzhan Huang:
LSAS: Lightweight Sub-attention Strategy for Alleviating Attention Bias Problem. ICME 2023: 2051-2056 - [c9]Shanshan Zhong, Zhongzhan Huang, Wushao Wen, Jinghui Qin, Liang Lin:
SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models. ACM Multimedia 2023: 567-578 - [c8]Zhongzhan Huang, Pan Zhou, Shuicheng Yan, Liang Lin:
ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection. NeurIPS 2023 - [i19]Zhongzhan Huang, Mingfu Liang, Liang Lin:
On Robust Numerical Solver for ODE via Self-Attention Mechanism. CoRR abs/2302.10184 (2023) - [i18]ShanShan Zhong, Zhongzhan Huang, Wushao Wen, Jinghui Qin, Liang Lin:
ASR: Attention-alike Structural Re-parameterization. CoRR abs/2304.06345 (2023) - [i17]ShanShan Zhong, Zhongzhan Huang, Wushao Wen, Jinghui Qin, Liang Lin:
SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models. CoRR abs/2305.05189 (2023) - [i16]Shanshan Zhong, Wushao Wen, Jinghui Qin, Qiangpu Chen, Zhongzhan Huang:
LSAS: Lightweight Sub-attention Strategy for Alleviating Attention Bias Problem. CoRR abs/2305.05200 (2023) - [i15]Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin:
Understanding Self-attention Mechanism via Dynamical System Perspective. CoRR abs/2308.09939 (2023) - [i14]Zhongzhan Huang, Pan Zhou, Shuicheng Yan, Liang Lin:
ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection. CoRR abs/2310.13545 (2023) - [i13]Shanshan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, Pan Zhou:
Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation. CoRR abs/2312.02439 (2023) - 2022
- [c7]ShanShan Zhong, Jinghui Qin, Zhongzhan Huang, Daifeng Li:
CEM: Machine-Human Chatting Handoff via Causal-Enhance Module. EMNLP 2022: 3242-3253 - [c6]Senwei Liang, Zhongzhan Huang, Hong Zhang:
Stiffness-aware neural network for learning Hamiltonian systems. ICLR 2022 - [i12]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin:
The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network. CoRR abs/2207.07858 (2022) - [i11]Zhongzhan Huang, Senwei Liang, Hong Zhang, Haizhao Yang, Liang Lin:
Accelerating Numerical Solvers for Large-Scale Simulation of Dynamical System via NeurVec. CoRR abs/2208.03680 (2022) - [i10]ShanShan Zhong, Jinghui Qin, Zhongzhan Huang, Daifeng Li:
Causal Inference for Chatting Handoff. CoRR abs/2210.02862 (2022) - [i9]ShanShan Zhong, Wushao Wen, Jinghui Qin, Zhongzhan Huang:
Deepening Neural Networks Implicitly and Locally via Recurrent Attention Strategy. CoRR abs/2210.15676 (2022) - [i8]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Weiling He, Liang Lin:
Layer-wise Shared Attention Network on Dynamical System Perspective. CoRR abs/2210.16101 (2022) - 2021
- [c5]Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang:
Blending Pruning Criteria for Convolutional Neural Networks. ICANN (4) 2021: 3-15 - [c4]Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin:
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. ICRA 2021: 9490-9497 - [c3]Zhongzhan Huang, Wenqi Shao, Xinjiang Wang, Liang Lin, Ping Luo:
Rethinking the Pruning Criteria for Convolutional Neural Network. NeurIPS 2021: 16305-16318 - [i7]Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang:
Blending Pruning Criteria for Convolutional Neural Networks. CoRR abs/2107.05033 (2021) - [i6]Zhongzhan Huang, Mingfu Liang, Senwei Liang, Wei He:
AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training. CoRR abs/2107.05804 (2021) - 2020
- [c2]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang:
DIANet: Dense-and-Implicit Attention Network. AAAI 2020: 4206-4214 - [c1]Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang:
Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise. AAAI 2020: 4819-4827 - [i5]Zhongzhan Huang, Xinjiang Wang, Ping Luo:
Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning. CoRR abs/2004.11627 (2020) - [i4]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang:
Efficient Attention Network: Accelerate Attention by Searching Where to Plug. CoRR abs/2011.14058 (2020) - [i3]Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin:
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. CoRR abs/2011.14487 (2020)
2010 – 2019
- 2019
- [i2]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang:
DIANet: Dense-and-Implicit Attention Network. CoRR abs/1905.10671 (2019) - [i1]Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang:
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise. CoRR abs/1908.04008 (2019)
Coauthor Index
aka: ShanShan Zhong
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